The invention concerns hybrid power plants, for example a hydro-solar-battery hybrid system which comprises different types of power sources, for example solar photovoltaic (PV) modules, batteries storage devices and one or more hydraulic generators.
The general structure of such a plant is illustrated on
The various assets are connected to a transformer, usually a 3 windings transformer 22, the hydro generator being connected to one winding of said transformer and the other assets being connected to a second winding.
The system further comprises a substation transformer 18 connecting the hybrid plant to an electrical network 20 at the grid interface.
The existing system architecture for managing such a plant is schematically illustrated on
The existing system has no coordinating function of the different assets or may require manual intervention of an operator to achieve a coordinated operation, in particular if the grid requires more or less power in different situations, like during peak hours.
There is therefore a need for a new system and a new method to control the different power sources of a hybrid power plant, in particular in situations where grid power must be increased or decreased in reaction to a new situation on the grid's side, for example a frequency variation or a variation in the power demand.
The invention first concerns a method for controlling a hybrid power generation plant comprising a plurality of different power sources among a hydro plant or generator, a solar plant, at least one wind turbine and a battery storage system.
The plant may comprise, for example:
Varying a power production of at least one of the plurality of power sources (for example as a function of time and/or according to predetermined criteria, for example a ramp of a fast load change), may contribute to avoiding tear and wear, in particular of the hydro generator(s).
For example, said method comprises:
A method according to the invention may further comprise:
The invention also concerns a system for controlling a hybrid power generation plant comprising a plurality of different power sources, among a hydro plant, a solar plant at least one wind turbine and a battery storage system, said system comprising means programmed to implement a method according to the invention.
According to another aspect of the invention, the power-efficiency curve of a hydro unit can include a forbidden zone in which instability can occur. A method according to the invention, in particular as described above or in this application, may allow an adaptation of the hydro plant output power level so that it is outside the forbidden zone. In other words:
The invention also concerns a system for controlling a hybrid power generation plant comprising a plurality of different power sources, among a hydro plant, a solar plant, at least one wind turbine and a battery storage system, said system comprising:
In a system according to the invention, said means for varying a power production of at least one of the plurality of power sources may comprise at least one of the following modules:
The invention also concerns a hybrid power generation plant comprising a plurality of power sources, among a hydro plant, a solar plant and a battery storage system, at least one wind turbine and a system for controlling said hybrid power generation plant according to the invention.
An example of a hybrid system architecture according to the invention is illustrated on
The system of this example comprises:
Thus system can also comprise a wind plant comprising nw wind turbines (not represented on the figures) all of them being controlled by a wind plant control unit. Each wind turbine is associated with a corresponding inverter or converter, which can be located in the wind turbine itself.
A “hydro unit” is a hydroelectric machine comprising a turbine and a generator. A “hydro plant” includes a dam and one or several hydroelectric units. A generator of a hydro unit comprises the electrical part of the hydroelectric machine converting mechanical energy from the hydro turbine to electrical energy allowing energy transportation through the transmission lines of a grid.
Other examples of a system implemented in the frame of the invention can for example comprise:
Whatever the plants, all of them can be connected to a same substation transformer 18 (see above description in connection with
The ns solar panel(s) 101-10ns (and inverter(s) not illustrated on the figures), and/or nh hydro generator(s) 121-12nh, and/or nb battery energy storage system(s) BESS 141-14nb (and inverter(s) not illustrated on the figures) and/or wind turbine(s) and/or one or more solar panel(s) 10′ (and inverter(s) not illustrated on the figures) and one or more BESS 14′ (and inverter(s) not illustrated on the figures) form a power generation asset layer 130.
The different control units 100, 120, 140, 160 (and also the possible wind plant control unit) form the generation asset control layer and exchange data with a data and control interface 102, which exchanges data with an integrated plant control unit 101 which itself communicates with the grid interface 150 and possibly with a forecast module 114.
This architecture, and in particular the integrated plant control unit 101, allows an automated coordination and/or synergies between the different power sources; in particular a common electrical balance of the whole plant can be achieved, based on the knowledge of capabilities of all power sources to meet one or more common goal(s), thereby improving the hybrid plant performance compared to plants like the one illustrated on
As illustrated on
Said grid interface 150 receives data 150a from the grid and/or measures grid data, preferably real time data, for example:
Said data can be transferred, for example at specified time intervals, to the integrated plant control system or unit 101 via communication or connection means 116, for example a data highway.
In an embodiment, the system 112 may also comprise a module 114 implementing a forecast application, based on data 114a, preferably historical data and/or data about past time periods, for example:
Based on said data, said forecast application module 114 may generate Day-Ahead and/or Intra-Day forecast data of power generation, and/or power price data, and/or peak hour(s) data, and/or demand data etc.
Preferably said forecast application module 114 is also connected to the same communication or connection means 116 as the grid interface 150.
Said communication or connection means 116, for example said data highway, transmit or forward data to the integrated plant control system 101; said integrated plant control system 101 comprises control means, for example a controller, which, based in particular on one or more of the above-mentioned information forwarded by said communication or connection means 116, control the different power sources or assets of the system. Said controller comprises for example at least one processor or microprocessor programmed to implement a control method according to the invention.
The integrated plant control system 101 receives for example:
In other words, the plant control system 101 can receive information from within the plant as well as from outside the plant:
The hydro plant design information can for example comprise one or more of the following data:
The solar plant design information can for example comprise one or more of the following data:
The battery systems design information can for example comprise one or more of the following data:
The wind plant design information can for example comprise one or more of the following data:
Example of operational information 101c are one or more of the following data:
The plant control system 101 may also receive forecast data, for example from said forecast application module 114, about price forecast, and/or power generation, and/or peak hour, and/or demand etc.
Such data can be stored in a memory, for example of the integrated plant control means or system 101 and/or can be provided by the different individual control means to said integrated plant control means or system 101. Based on such data, said means or system 101 can perform one or more of the methods according to the invention.
Said plant control means or system 101 may for example generate:
For example said integrated plant control means or system 101 may generate the set-point of the different assets of the power generation asset layer 130:
a) based on individual capability of the generation assets to meet grid mandated performance requirements at point of interconnect; for example, it determines said set points to meet the frequency of the grid and/or for a hybrid plant ramping adapted to demand from the grid; examples of coordinated controls of the grid performance are for example:
a1) to adapt the frequency response, in order to enable the hybrid plant to respond to changes in grid frequency by decreasing generation for over-frequency conditions and increasing generation for under-frequency conditions (examples of such a method are given below, in connection with
a2) or to adapt the ramp response, in order to enable the hybrid plant to meet ramp rate requirements from the grid operator;
a3) or to adapt the reactive power, in order to determine the hybrid plant reactive power generating set points for the different assets that will enable to meet the reactive power requirements of the grid; with intermittent sources like solar plants and/or wind turbines, this contributes to improving the required voltage stability to the grid; indeed, as explained below in connection with
b) and/or by leveraging hybrid synergies through coordinated control to achieve improved performance for applications like hydro reservoir water management through coordinated control of hydro, solar and battery systems (in a hybrid plant comprising said different systems); examples of coordinated controls are for example:
b1) to shift energy from one time or one time slot, when it is available, to another time or another time slot (when it is needed by the grid); for example, for a system according to the invention comprising at least a solar plant and a hydro plant,
b2) or to obtain a firm power output from the hybrid plant obtained by managing the different types of generation sources like hydro, solar, wind and battery;
b3) or to follow the load, that is to make the hybrid plant output follow a set-point received from the grid to meet load demand in real time.
c) and/or to meet optimization objectives, such as maximizing the net hybrid power production or maximizing the revenue generation of the hybrid plant and/or minimizing power losses in a hybrid plant; an optimization objective can be for example:
c1) generating more power at certain hour(s), for example peak hour(s), of the day, for example when the electricity tariff is high;
c2) and/or providing support in order to meet power demand from the grid at certain hour(s), for example at peak hour(s);
c3) maximizing the efficiency of the hybrid plant, based on the efficiency curves of one or more hydro unit(s) (see for example
In an embodiment, said integrated plant control system 101 can have one or several control layers or modules, which utilize the data from the individual hydro, solar, wind, battery controllers as well as the electrical network information from beyond the grid interface. Said control layer(s) or module(s) can run on a same processor or microprocessor or on several processors or microprocessors. In a particular embodiment, the integrated plant control system 101 and the hydro plant control unit 120 can be hosted in a same hardware controller: in particular, the control of the hydro plant and of the hybrid plant can both be processed on a single processor or microprocessor.
For example, as illustrated on
The generation asset control layer comprises the different control units 100, 120, 140, 160, each of which can be implemented as a processor or microprocessor. The functionalities of hybrid integrated plant control unit 101 and of the hydro plant control unit 120 can be implemented in a single processor or microprocessor.
Each of said control units:
The assets of the power generation asset layer 130 are actuated by the asset control units 12c1-12cnh, 10c1-10cns, 14c1-14cnb, 16c to generate power corresponding to the set-points determined by the integrated plant control system 101.
As explained above, the integrated plant control system 101 receives information from within the plant as well as from outside the plant:
Based on said information from the above two sources it determines or calculates the plant set-points to improve the plant performance for multiple applications. Examples of such applications were already described in § a)-c) above.
The below sections describe two other examples (d) and (e):
Such applications contribute to the improved hybrid plant performance.
A novel control method of a hybrid plant according to the invention is presented to increase hybrid plant efficiency by expanding the operating range. This novel method enables meeting the grid dispatch power set-point in a more efficient manner than according to the prior art.
Curves like those illustrated on
The output power of each asset of the layer 130, Phydro, Psolar, Pbattery and Pwind, is preferably determined such that their sum meets the plant power requirement received through the grid interface 150 and forwarded to the hybrid integrated plant control means 101.
A proposed method according to the invention enables an improvement in an hybrid plant efficiency by changing the operating points of, for example, the solar and hydro plants to adjusted values PhydroAdj and PsolarAdj.
PhydroAdj is selected such that the efficiency of hydro plant at operating point PhydroAdj is greater than the efficiency at Phydro.
In the below equations, the difference between Phydro and PhydroAdj is indicated as ΔP and is such that the efficiency of hydro plant increases. In other words, depending on the starting point Phydro, the power produced by the hydro plant is reduced or increased, but its efficiency increases. ΔP may be positive or negative depending on the original and adjusted operating points of the hydro plant.
After ΔP is determined, an adjustment of the solar operating point is made by the control system 101 to move the output solar plant from Psolar to PsolarAdj. For example, if the power produced by the hydro plant decreases, the power produced by the solar plant is correspondingly increased. This adjustment makes use of the reserve solar explained above (
The equations for an adjusted plant operating point can be the following:
P
plant
=P
hydro
+P
solar
+P
battery
+P
wind
P
hydroAdj
=P
hydro
−ΔP
P
solarAdj
=P
solar
+ΔP
P
plant
=P
hydroAdj
+P
solarAdj
+P
battery
+P
wind
(These equations include the contributions from the BESS and the wind turbine(s) but the system may also not comprise such BESS and/or wind turbine(s)).
In a first step, an optimal ΔP is obtained by determining ΔP=Phydro−PhydroAdj based on the hydro plant efficiency curve, such that ηhydroAdj>ηhydro. ΔP will be compensated by a corresponding Psolaradj.
In a second step (this second step can take place at the same time as the first step of even just before) the “reserve solar” is calculated from solar irradiation data and from Psolar.
In a third step, if ΔP is positive, it is verified if ΔP<Reserve Solar.
If ΔP is negative, the same approach applies without having to check for ΔP<Reserve Solar, because solar output needs to be reduced. The reduction in solar output can be achieved as an absolute reduction or using the solar plant to charge the battery while effectively reducing the solar plant contribution to grid.
If ΔP>Reserve Solar while ΔP>0, the solar plant reserve is insufficient. In such a case, the optimum ΔP is infeasible. In this case ΔP should be recomputed from the first step to a smaller value because the original value is infeasible with available resources due to constraints.
In combination with the above, or in a variant, ΔP is at least partly compensated by power from one or more BESS, Pbatteryadj:
P
plant
=P
hydroAdj
+P
solar
+P
batteryadj
+P
wind
Or: Pplant=PhydroAdj+PsolarAdj+Pbatteryadj+Pwind
In combination with the above, or in a variant, ΔP is at least partly compensated by power from one or more wind turbines Pwindadj:
P
plant
=P
hydroAdj
+P
solar
+P
battery
+P
windadj
Or: Pplant=PhydroAdj+PsolarAdj+Pbatteryadj+Pwind
In a more general case ΔP is compensated by power from at least one solar plant, at least one BESS, and at least one wind turbine:
P
plant
=P
hydroAdj
+P
solarAdj
+P
batteryadj
+P
windadj.
In all these cases, a process like the above described above can be performed:
If ΔP is negative, the same approach applies, without having to check for ΔP<available reserve, because the power output needs to be reduced. The reduction in power output can be achieved as an absolute reduction or using the different sources to charge the battery while effectively reducing their contribution to grid.
If ΔP>available reserve while ΔP>0, the available reserve is insufficient. In such a case, the optimum ΔP is infeasible. In this case ΔP should be recomputed from the first step to a smaller value because the original value is infeasible with available resources due to constraints.
The above method enables a hybrid plant operation at power levels that would otherwise fall in forbidden zones of hydro plants and enables a hydro plant operation at more optimal operating area (for instance better efficiency) when solar and/or battery and/or wind power is available. It is preferred to operate the hydro units at more optimal operating area, since operation in forbidden zones can contribute for instance to cavitation, vibration, instability and have an impact on the lifetime of the hydro units. The area(s) outside of forbidden zones can have several possible operating points, of which few may have better efficiency and/or lower impact on turbine life than the other points. These few points are optimal area (and are preferred operating points). Indeed, by avoiding these forbidden zones and allowing the hydro unit(s) to be operated in a more optimal operating area, the lifetime of the hydro unit is improved.
The above example describes a single hydro plant, a single solar plant and possibly a battery and/or one or more wind turbine(s).
But the same approach can be extended to multiple hydro plants with one or multiple units or one hydro unit with several hydro units, multiple solar plants, multiple battery systems and a plurality of wind turbines.
The following equations model the extension of the operational point adjustment described above to multiple units:
P
plantΣi=1 . . . nPhydro(i)+Σj=1 . . . mPsolar(j)+Σk=1 . . . pPBESS(k)+Σk=1 . . . qPwind(k)
P
hydroAdj(i)
=P
hydro(i)
−ΔP
(i), for i=1 . . . n
P
solarAdj(j)
=P
solar(j)+Σi=1 . . . nΔPi, for j=1 . . . m
P
plant=Σi=1 . . . nPhydroAdj(i)+Σj=1 . . . mPsolarAdj(j)+Σk=1 . . . pPBESS(k)+Σk=1 . . . qPwind(k).
The process flow to obtain the optimal ΔP can be as follows:
Step 1: Select the appropriate window or rectangle for variations of ΔP;
Step 2: Determine ΔP=Σi=1 . . . nΔPi from the hydro unit efficiency curve such that ηhydroAdj>ηhydro;
Step 3: Compute Reserve Solar from Solar irradiation data and Psolar;
Step 4: if ΔP is positive, it is verified if ΔP<Reserve Solar.
If ΔP is negative, the same approach applies without having to check for ΔP<available reserve, because the power output needs to be reduced. The reduction in power output can be achieved as an absolute reduction or using the different sources to charge the battery while effectively reducing their contribution to grid.
If ΔP>available reserve while ΔP>0, the available reserve is insufficient. In such a case, the optimum ΔP is infeasible. In this case ΔP should be recomputed from the first step to a smaller value because the original value is infeasible with available resources due to constraints.
Step 5: Preferably, it is verified for every ΔPi that no hydro plant changes status from shutdown to start-up or vice versa. If the status of a hydro is changed its status, from shutdown to start-up or vice versa, ΔP is recalculated or recomputed so as to arrive at a feasible situation in which no hydro plant changes status. Indeed, it takes time to change the status of a hydro plant, which is a slow system; furthermore, such a change wastes water. In other words, small changes within a same power range are preferred.
As ΔP is determined, an equivalent adjustment of the solar operating point of each solar unit j is made by the control system 101 to move from Psolar(j) to PsolarAdj(j). For example, if the output power produced by the hydro plant(s) decreases, the output power produced by the solar plant is correspondingly increased. Here again, this adjustment makes use of the reserve solar explained above (
In the above example, the control system 101 makes use of at least the hydro limits (generator minimum and maximum limits and/or pump minimum and maximum limits) and the solar irradiation data. One or more of the other above mentioned parameters can be used to arrive at a feasible set-point. Some of the above examples consider the adjustment in power to be balanced between the solar plant(s) and the hydro plant(s) only. Again, it is similarly possible to enable the battery storage system(s) and/or the wind turbines to participate in the power adjustment to enable an improvement of the hybrid plant efficiency: the power output from the BESS and/or the wind turbines can be increased or decreased depending on the needs to adjust for example the power output of the hydro plant(s).
The plant control system 101 can be programmed to implement the above processes or the above steps or the above equations, based on the data of the curves of
Another novel control method of a hybrid plant according to the invention is presented to increase the real (or active) power production. This novel method enables increasing the real power production by managing the reactive power across the different assets of the hybrid plant. This reactive power management controls the different assets of the hybrid plant so as to meet the grid requirement in terms of reactive power and to increase the total real power production from the hybrid plant.
Reactive power dispatch allows for the reactive power produced by the hybrid plant to be maintained according to the requirements of the grid via coordinated reactive power control from both solar and hydro plants; this results in improved real power output from the hydro plant and adds to the net energy produced from the hybrid plant.
This can help to reduce voltage instabilities, in particular for large hydro plants, such instabilities being due to limitation in reactive power capabilities.
Such curves, or data of points of these curves, or data representing at least part of these curves, are stored in a memory of the integrated plant control means or system 101 or provided to said integrated plant control means or system 101.
Each area within the circle or the curve represents a feasible region of operation. The space outside of each apparent power curve/circle is a non-feasible region of operation.
In
Similarly, in
For any point like A1, A2, A3, B1, B2, B3 etc. there is a corresponding active power (or real power) component and a reactive power component.
The real, or active, power component is determined by factors like the available irradiation for the solar plant or the available water level in reservoir for the hydro plant.
The reactive power component is typically determined based on grid requirement.
A method of controlling a hybrid plant according to the invention to increase real power production may comprise the following steps:
Step 1: Assess reactive power requirement of hybrid plant based on information from grid interface 150. The reactive power requirement is usually computed based on a combination of data received from grid like voltage at the POI or power factor requirement and real power generation. It can also be directly received from grid.
Step 2: the solar plant capability to provide a portion of the plant reactive power requirement is evaluated; this step can be performed by the plant control system 101.
Step 3: the hydro units that can generate more real power at lower than expected reactive power i.e., which can shift operation from A1 to A2 (
Step 4: The reduction in reactive power between A1 and A2 is compensated by the solar plant through an increase in reactive power by shifting operation from B1 to B2 (
The hybrid plant level reactive power is maintained at a constant level, for example reactive power component of A1 and B1 is the same as reactive power component of A2 and B2.
The following equations show the relationship between the active (or real) power and reactive power components before and after the reactive power management process described in the above steps:
It can be observed from the above set of equations that the net real power of the hybrid plant can be increased by using the reactive power management process according to the invention while continuing to meet the reactive power requirement of the grid.
This process can also enable conversion of a non-feasible point like, A3 or B3 to a feasible operating point which would lie within the apparent power capability curves through a similar reactive power management strategy (for example: reducing the reactive power produced by the hydro units and increase the reactive power produced by the solar inverter). Thus this process expands the operating range of the entire plant.
The plant control system 101 can be programmed to implement the above processes or the above steps or the above equations, based on the data of the curves of
Although the above process indicates a reactive power management between solar and hydro systems, the same can be extended to generator and/or inverter-based resources like solar, and/or hydro and/or wind turbines and/or battery systems. For a battery, reactive support can be generated by the inverter of the battery (through power electronic switching).
Another novel control method of a hybrid plant according to the invention is presented to manage a grid disturbance.
Examples of such situations are given on
To restore the frequency back to nominal, the generators in the electrical grid including the hybrid plant increase their power output.
A disturbance like a load increase in the grid causes a decrease in frequency. In response, the hybrid plant increases its output power, thus contributing to restoring the frequency to its nominal value.
Only the hydro plant (
The frequency can be restored by only controlling the hydro plant by the control means 101: as can be seen from
Alternatively the frequency can be restored by only controlling the BESS by the control means 101: as can be seen from
Alternatively the frequency can be restored by controlling both the hydro plant and the BESS by the control means 101: as can be seen from
With a combination of response from BESS and hydro plant, the following are observed:
This example shows a particular use of battery (with a step response) for coordinated response and the battery profile can be selected to be any desired form (like pulse, ramp etc; depending on the battery power and energy) to contribute to an improved grid response. It can be noted that a ramp is more gradual with respect to a pulse, so that frequency restoration implementing a ramp may be slow, but smoother than implementing a pulse, thus giving sufficient time for the hydro power units to gradually come to the new setpoint without wear and tear.
The above example shows coordinated control between the hydro plant and BESS. The same can be extended to a combination of BESS, hydro plant and solar plant. The response from the solar plant is just as fast as the battery. The battery can run out of charge or may have no ability for charge after a certain time. The limitations of the solar units are the MPPT on the one hand and the zero power on the other hand, but as long as the irradiation is available, solar power can further be generated; batteries have the disadvantage that huge battery size may not be economical: hence response with battery can be limited, whereas the contribution from the solar sources can be comparable to that from the hydro units.
The invention offers the following advantages:
Number | Date | Country | Kind |
---|---|---|---|
21305313.5 | Mar 2021 | EP | regional |