The present invention relates to decentralized control systems for power distribution systems that provide coordination between distribution system and control equipment, such as voltage regulators, shunt capacitors, distributed generators and others.
Power distribution systems have become the lifeline of our world and even minute disturbance in them results in grave consequences. In order to provide a reliable power supply, while keeping up with the rapid increase in demand, new methods of power distribution and control systems are continuously being developed. One of the more recent changes, which is aimed at providing more power while addressing environmental policies regarding CO2 emissions, is installation of more distributed generation (DG). Although there are many benefits gained by installing more DG, they also pose new challenges for the operation of the distribution system.
Volt/VAR control plays an import function in the current distribution systems. Efficient Volt/VAR control reduces system losses, improves voltage profile and hence enhances the delivered power quality and overall system reliability. Recent increases in the utilization of distribution generation (DG) in distribution systems have made it even more important to have a more efficient voltage control operation schemes. The presence of DG in distribution feeders significantly changes their voltage profiles and hence interrupts the load drop compensation function of voltage regulators and the voltage sensing capabilities of capacitor banks, which depend on ever-decreasing feeder's voltage profile. In addition, efficient coordination between feeder's capacitors and DGs would allow for the integration of more number of DGs in the system.
Most VAR control developments have been related to the planning of the reactive power. The optimal capacitor sizing and allocation problem has also been considered. However, the operation of the reactive power control equipment has received little attention. It has been the usual practice in utilities to operate capacitor banks based on local signals, such as time of day or current magnitude, with the aim to have the capacitors connected at maximum load and disconnected at minimum load.
The prior art discloses several methods to achieve an optimal reactive power control in the presence of DG. One method is to have a central point which monitors the status of the reactive power control equipment, performs a load forecast for a certain horizon, solves a reactive power optimization problem based on the forecasted conditions and finally determines the optimal settings for the reactive power control equipment. There are several problems associated with this approach: First, for large systems, the centralized approach will be too cumbersome. And, second, given that this approach is based on load forecasting, there is no guarantee for the accuracy of the solution, especially in the presence of renewable-based DG with varying output power.
Another emerging method is solving the problem in a decentralized manner. A Multi-Agent decentralized reactive power DG dispatch for the support of the system voltage has been suggested. The problem with this approach is that it assumes the existence of a moderator point which takes bids from DGs and calculates the optimal overall solution which is, more or less, a centralized way of solving the problem. Furthermore, a decentralized approach for the control of DG reactive power output was proposed to mitigate the voltage rise due to the connection of the DG. This work is not applicable for the control of other reactive power control equipment of the system such as Capacitors.
Currently, there is a need to adopt a more efficient Volt/VAR control schemes in order to achieve a more efficient and reliable distribution system for Smart Grids.
The present invention provides a device for decentralized optimal Volt/VAR control. It controls station's voltage regulators, and other line voltage regulators. It controls the switched capacitor banks, and other reactive power control devices, in real-time. It minimizes the system losses while maintaining acceptable voltage profile for the feeder. The system comprises of a series RTUs located at each DG, each voltage regulator and at each shunt capacitor of the feeder to form a Multi-Agent system and an algorithm that receive real time data from these devices and coordinates the operation of DGs. The algorithm estimates the change in the voltage profile due to the injection of reactive power at the capacitor bus to coordinate DGs. This newly invented decentralized Volt/VAR control system efficiently controls the voltage regulators and the switched capacitors of the distribution feeder in order to minimize system losses while maintaining feeder's voltage profile.
The first object of the present invention is to provide an effective method of coordinating DGs in a power distribution system.
The second object of the present invention is to optimally manage the reactive power resources of a power distribution system.
The third object of the present invention is to optimally control switched capacitors of a power distribution system.
The fourth object of the present invention is to maintain acceptable voltage profile in power distribution systems.
The fifth object of the present invention is to minimize system losses during the operation of DGs.
The sixth object of the present invention is to integrate more DGs in the distribution system.
The seventh object of the present invention is to provide an automated optimally operated power distribution system.
And finally, the eight object of the present invention is to have an effective coordination between DGs and capacitors in the power distribution systems.
To achieve the above mentions objectives, a novel coordinated voltage control technique is invented which provides efficient voltage regulation for multiple feeders in the presence of DGs. The technique is based on placing RTUs at each DG. Each RTU communicate with its neighbors. The maximum and minimum voltages of the feeder can be estimated based on the measurements of the RTU, and without having to measure the voltage at each and every bus of the system. Moreover, based on the analytical analysis, it is clear that locating RTU at each DG of the feeder represents the minimum number of RTU needed to estimate the voltage of the feeder accurately. Simulation results show the efficiency of the proposed technique in regulating the voltage of multiple feeders in real-time when DGs and loads change their values. Moreover, the proposed technique allows an increased DG penetration without violating the voltage profile of the system.
Embodiments herein will hereinafter be described in conjunction with the appended drawings provided to illustrate and not to limit the scope of the claims, wherein like designations denote like elements, and in which:
As shown in
Knowledge of the maximum and the minimum voltages is used to obtain a voltage regulation and reactive power control for the feeder.
The minimum voltage points can occur only at the end of the feeder 12, as well as, in between any DG connecting buses 25 or between a DG bus and a capacitor bus or between two capacitors connecting buses. The voltage of the end points is read using RTUs or, alternatively, it is estimated in the same manner as described for the determination of the minimum points in between the DG 20, units. For the minimum points in between the DGs or capacitor 30, connecting buses, the following method gives the necessary and sufficient condition for the existence of these points. We have proved that there exists a minimum voltage point in between two DG connecting buses if and only if, for both DGs, the voltage of the DG neighboring bus, in the direction of the other DG, is less than the voltage of the DG bus. For instance, in
Note that, it is not important, from the point of view of voltage regulation, to know the exact location of the minimum voltage point. The importance of the above results is that it provides a guaranteed method to check for the existence of a minimum voltage point. In fact, knowing the mere existence of minimum voltage points is not enough, and the value of the minimum voltage point is needed.
A new method to coordinate the information is invented. This method is based on estimating the value of the minimum voltage point using the readings available at the DG or the capacitor bus only. This can be tailor-designed for each network based on the available information on its loading characteristics. An estimation, which gives the worst case value for the minimum voltage point can be used as a good lower bound for the minimum voltage point.
In the present system, it is assumed that the load between the two elements (DG or capacitor) is concentrated halfway between them 27. For
Also, the value of the assumed minimum voltage point calculated by DG2 is given by,
Then we can take the average of these two values to get a better estimation, so,
Finally substitute Equation (1) and (2) in Equation (3) we get,
Equation (4) gives an estimation for the value of the minimum voltage point, if exist, between two elements using the data measured at elements' buses only.
Different loading schemes could have been assumed between the two elements, e.g., uniformly distributed. The choice of the assumed loading scheme should be network-specific.
The present invention is a decentralized Volt/VAR control system, which utilizes a decentralized way to estimate the change in the voltage profile due to the injection of reactive power at the capacitor connecting bus. Due to the connection of the capacitor to the feeder, the reactive power flow from station bus will be reduced by the amount of the reactive power injected at the capacitor bus, assuming the losses are negligible. Also, all reactive power flows between any two buses upstream of the capacitor bus will be reduced by the amount of the reactive power injected at the capacitor bus. On the other hand, the reactive power flow downstream of the capacitor will not be affected. Hence, the injected QC can be looked at, in a superposition fashion, as if it is flowing towards the supply.
Based on this concept we can analyze the voltage profile of any feeder as follows; The voltage difference between any two buses n and n−1, upstream of the capacitor bus with the capacitor out of service, can be written as:
V
(n−1)old
−V
(n)old
−P
n−1,n
R
n−1,n
+Q
(n−1,n)old
X
n−1,n [Equation 5]
where V(n)old represents the voltage of bus n prior to the connection of the capacitor. Pn,n+1 represents the active power flow from RTUn bus to RTUn+1 bus. If active power flows from downstream to upstream, it is considered positive. Q(n,n+1) represents the reactive power flow from RTUn bus to RTUn+1 bus. If reactive power flows from downstream to upstream, it is considered positive. Xn−1,n represents the reactance of the line segments between bus n−1 and bus n. Rn−1,n represents the resistance of the line segments between bus n−1 and bus n. Q(n−1,n)old represents the reactive power flow from bus n−1 to bus n prior to the connection of the capacitor. After connecting the capacitor, Equation (5) can be written as:
V
(n−1)new
−V
(n)new
−P
n−1,n
R
n−1,n+(Q(n−1,n)old−QC)Xn−1,n [Equation 6]
Subtracting (5) from (6) and rearranging, we get,
V
(n)new
−V
(n)old
=V
(n−1)new
−V
(n−1)old
+Q
C
X
n,n−1 [Equation 7]
Similarly,
V
(n−1)new
−V
(n−1)old
=V
(n−2)new
−V
(n−2)old
+Q
C
X
n−1,n−2 [Equation 8]
Ultimately,
V
(1)new
−V
(1)old
=V
(0)new
−V
(0)old
+Q
C
X
0,1 [Equation 9]
However bus 0 is the station bus, which we will assume to be stiff, then;
V
(1)new
−V
(1)old
−Q
C
X
0,1 [Equation 10]
Applying Equation (10) recursively in Equation (7) we can write:
V
(2)new
−V
(2)old
=Q
C
X
0,1
+Q
C
X
1,2 [Equation 11]
Generalizing (11), we get;
V
(n)new
−V
(n)old
=Q
C
X
0,1
+Q
C
X
1,2
+Q
C
X
2,3
++ . . . +Q
C
X
n−2,n−1
+Q
C
X
n−1,n [Equation 12]
Put in compact form,
V
(n)new
−V
(n)old
+Q
C
Σk
=1
k=n
X
k−1,k [Equation 13]
wherein V(n)new represents the voltage of bus n after connecting the capacitor and V(n)old represents the voltage of bus n prior to the connection of the capacitor. Equation (13) gives the change in the voltage of any bus upstream of the capacitor in terms of the amount of reactive power injected at the capacitor bus and feeder reactance.
On the other hand, the voltage change at any bus downstream of the capacitor bus is the same as the voltage change at the capacitor bus itself. This result follows directly from the fact that the reactive power flow downstream of the capacitor will not be changed due to the connection of the capacitor. In the light of Equation (13), a decentralized reactive power control scheme is developed, to calculate the new voltage at any bus due to the injection of reactive power at the capacitor bus.
A system as show in
The communication structure between the RTU 50, can be represented by the graph of
The goal of the algorithm executed by the RTU is to send to the voltage regulator the maximum and minimum voltages of each feeder. Let RTUn be the RTU connected to a certain DG and define RTU(n−1) to be the upstream RTU, the RTU connected to the DG upstream from the first DG. Also, define RTUn+1 to be the downstream RTU. The flow chart depicted in
In summary, along the way from the farthest RTU till the voltage regulator, each RTU updates the maximum voltage value and the minimum voltage value of the feeder according to its readings. As a result, the voltage regulator controller will receive the maximum voltage and the minimum voltage of each feeder.
After receiving the maximum and minimum voltages of each feeder, the voltage regulator will determine the absolute maximum and minimum voltage of all the feeders. Based on these values, the voltage regulator will change the tap position accordingly as follows;
The main goal of the algorithm executed by the RTU is to enable the capacitor to determine the optimal reactive power injection based on system conditions. The optimal reactive power is defined as the value that will:
Firstly, a measure for the losses corresponding to each reactive power injection at the capacitor bus is introduced. In present invention, the voltage at every node of the system is not measured; therefore, the exact amount of losses cannot be determined. However, knowledge of the reactive power that minimizes the losses is sufficient to complete the method. In the present system, the voltage difference between the buses are considered as a measure for the losses in the lines.
As the difference between the voltage of buses is reduced, the losses are reduced.
The following algorithm provides the reactive power injection at the capacitor that will minimize the voltage difference between the buses. In other words, the optimal reactive power injection at the capacitor is the one that will minimize the losses-index defined as:
losses_index=Σn=1N−1(Vn−Vn+1)2 [Equation 14]
where N is the total number of minimum and maximum voltage points of the voltage profile of the feeder.
Secondly, for the capacitor's RTU to determine the optimal reactive power injection that will not violate the voltage profile, it has to know the maximum and the minimum value of the voltage profile corresponding to each possible reactive power injected at the capacitor's bus.
In summary, the new algorithm enables the capacitor to determine three main values corresponding to each possible reactive power injection; the maximum voltage of the feeder, the minimum voltage of the feeder and the value of the losses-index. As shown in
End of feeder RTU 101, will:
RTU downstream of the Capacitor 102, will:
Following the above procedure, the capacitor's RTU 103, will receive all the maximum and minimum points of the voltage profile of the part of the feeder downstream of the capacitor.
The Capacitor's RTU 103, will:
RTU upstream of the Capacitor 104, will:
The station RTU 105, will:
In another embodiment of the present system, a counter is placed at the capacitor RTU 103, to count how many switching operations takes place in a certain predetermined period. If the number of allowable switching operations is reached the capacitor will convert to the idle status. This limits the number of switching operations of capacitors to meet the practical operation practice.
In another embodiment of the present system, a capacitor-flag that indicates that the capacitor is downstream is added to the system. The only RTU that is allowed to set this flag high is the capacitor's RTU. As messages propagate from the end of feeder, each RTU will decide its location as follows: As long as the capacitor flag is low, then the location is downstream of the capacitor. This system makes it possible dynamically define RTU location as upstream or downstream of the capacitor.
As shown in
In order to calculate the voltage change due to the reactive power injections at a certain RTU using equation (7), it is necessary to know the voltage change at the RTU upstream of the subject RTU. Therefore, this proposed algorithm is carried out in two phases; forward phase and backward phase. These two phases are described below;
This phase can be described in the following steps:
Effectively, at the end of the forward phase each RTU will have stored its voltage and a list of the combined reactive power injections from capacitors downstream of it. Hence, for each RTU to calculate the change in its voltage due to the reactive power injections using equation (7), it only needs to have the change in the upstream RTU voltage. The forward phase will end at the station.
The backward phase starts at the station and propagates in the downstream direction. This phase can be described as follows;
In this section several simulation results are reported to show effectiveness of the new reactive power control method.
In this case, we want to test the ability of the algorithm to estimate the change in the voltage profile due to the injection of reactive power at the capacitor bus. Different reactive power values are injected at the capacitor bus and the voltage profile estimated by the proposed algorithm is compared with the voltage profile obtained from a standard power flow algorithm. The proposed algorithm was able to estimate the voltage profile of the feeder efficiently given that the proposed algorithm requires much less data and acts in a decentralized manner.
In this section, we will test the new reactive power control algorithm.
Case 1:
For the same system used above, the goal is to determine the optimal reactive power which will minimize the losses while maintain the voltage profile of the feeder. After running the algorithm the capacitor's RTU will get the data as provided in Table 2 for each possible reactive power injection.
It is apparent that the optimal setting is Q=65 kVAR. To validate this results a power flow algorithm was used to calculate the losses corresponding to each reactive power injection, the results are tabulated in Table 3.
In this case we will test the performance of the proposed technique in reaction to a change in DG output power. For the sake of simulation, assume that DG1 injects 200 kW and DG2 injects 300 kW. Based on the new power injections and after running the proposed algorithms, the capacitor RTU will get the data as provided in Table 4 for each possible reactive power injection.
Although, Q=65 causes less losses, the corresponding voltage profile will not be acceptable, as it violate the 1.06 p.u. voltage rise limit. It is apparent that the optimal setting is Q=40 kVAR. To validate this results a power flow algorithm was used to calculate the losses corresponding to each reactive power injection, the results are tabulated in table 5.
After running the algorithm described in section V, regulator's RTU will get the data in Table 7 corresponding to each possible reactive power injection.
Based on these data, the optimal reactive power is Q1=0 and Q2=40. It should be noted that, based on the actual losses obtained from a standard power flow program, the losses corresponding to the case of Q1=35 kVAR and Q2=40 kVAR is the global minimum case. The algorithm could not get this point as it had to estimate the minimum voltage points of the voltage profile, thus, the calculation of the losses index is approximate. Even though the error is not significant, it is possible by efficient incorporation of network specific data to get a better estimation for the minimum point by assuming a more realistic load distribution between RTUs.
A decentralized Volt/VAR control system is invented to efficiently control the switched capacitors of the distribution feeder in order to minimize system losses while maintaining feeder's voltage profile. The present invention is based on the coordination of several RTU located at DG buses and capacitor buses. These RTU form a multi-Agent system. Novel decentralized algorithm for the estimation of the change of the voltage profile due to the injection of reactive power at the capacitor bus was presented. Simulation results showed the effectiveness of the present invention in optimally managing the reactive power resources of the system. The present invention will help in the realization of Advanced Distribution Automation by optimally control the switched capacitors of the system to maintain acceptable voltage profile, minimize the system losses and integrate more DGs in distribution systems by effective coordination between DGs and capacitors.