The integration of network reconfiguration and distributed generation(DG)can enhance the performances of overall networks.Thus,proper sizing and siting of DG need to be determined,otherwise it will cause degradation i...The integration of network reconfiguration and distributed generation(DG)can enhance the performances of overall networks.Thus,proper sizing and siting of DG need to be determined,otherwise it will cause degradation in system performance.However,determining proper sizing and siting of DG together with network reconfiguration is a complex problem due to huge solution search space.This search space mostly contains non-radial network configurations.Eliminating these non-radial combinations during optimization process increases computational overhead and may end up at local optimal solution.To reduce the searching complexity,this paper considers the discretized network reconfiguration via dataset approach.Water cycle algorithm(WCA)is used to obtain the near optimal solution of network reconfiguration,and sizing and sitting of DG.In addition,the power factor of DG is also optimized to reduce the power loss.The proposed method is tested on an IEEE 33-bus network and an IEEE 69-bus network considering different scenarios to show the effectiveness of simultaneous approach considering variable power factor.The results show that the discretization of reconfiguration search space avoids that WCA to get trapped in local optima.The proposed method outperforms other technique such as harmony search algorithm(HSA),fireworks algorithm(FWA),Cuckoo search algorithm(CSA)and uniform voltage distribution based constructive algorithm(UVDA)and improves the solution quality of IEEE 33-bus network and 69-bus network by 29.20%and 27.88%,respectively.展开更多
This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout.Parallel restoration is conducted in order to reduce the total restoration process time.Physical and...This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout.Parallel restoration is conducted in order to reduce the total restoration process time.Physical and operation knowledge of the system,operating personnel experience,and computer simulation are combined in this planning to improve the system restoration and serve as a guidance for system operators/planners.Sectionalizing planning is obtained using discrete evolutionary programming optimization method assisted by heuristic initialization and graph theory approach.Set of transmission lines that should not be restored during parallel restoration process(cut set)is determined in order to sectionalize the system into subsystems or islands.Each island with almost similar restoration time is set as an objective function so as to speed up the resynchronization of the islands.Restoration operation and constraints(black start generator availability,load-generation balance and maintaining acceptable voltage magnitude within each island)is also takeninto account in the course of this planning.The method is validated using the IEEE 39-bus and 118-bus system.Promising results in terms of restoration time was compared to other methods reported in the literature.展开更多
基金supported by University of Malaya under faculty grant(No.GPF016A-2019).
文摘The integration of network reconfiguration and distributed generation(DG)can enhance the performances of overall networks.Thus,proper sizing and siting of DG need to be determined,otherwise it will cause degradation in system performance.However,determining proper sizing and siting of DG together with network reconfiguration is a complex problem due to huge solution search space.This search space mostly contains non-radial network configurations.Eliminating these non-radial combinations during optimization process increases computational overhead and may end up at local optimal solution.To reduce the searching complexity,this paper considers the discretized network reconfiguration via dataset approach.Water cycle algorithm(WCA)is used to obtain the near optimal solution of network reconfiguration,and sizing and sitting of DG.In addition,the power factor of DG is also optimized to reduce the power loss.The proposed method is tested on an IEEE 33-bus network and an IEEE 69-bus network considering different scenarios to show the effectiveness of simultaneous approach considering variable power factor.The results show that the discretization of reconfiguration search space avoids that WCA to get trapped in local optima.The proposed method outperforms other technique such as harmony search algorithm(HSA),fireworks algorithm(FWA),Cuckoo search algorithm(CSA)and uniform voltage distribution based constructive algorithm(UVDA)and improves the solution quality of IEEE 33-bus network and 69-bus network by 29.20%and 27.88%,respectively.
文摘This paper proposes a sectionalizing planning for parallel power system restoration after a complete system blackout.Parallel restoration is conducted in order to reduce the total restoration process time.Physical and operation knowledge of the system,operating personnel experience,and computer simulation are combined in this planning to improve the system restoration and serve as a guidance for system operators/planners.Sectionalizing planning is obtained using discrete evolutionary programming optimization method assisted by heuristic initialization and graph theory approach.Set of transmission lines that should not be restored during parallel restoration process(cut set)is determined in order to sectionalize the system into subsystems or islands.Each island with almost similar restoration time is set as an objective function so as to speed up the resynchronization of the islands.Restoration operation and constraints(black start generator availability,load-generation balance and maintaining acceptable voltage magnitude within each island)is also takeninto account in the course of this planning.The method is validated using the IEEE 39-bus and 118-bus system.Promising results in terms of restoration time was compared to other methods reported in the literature.
