Optimal configuration of voltage unbalance control equipment in distribution network

Abstract

Abstract: Aiming at the problem of voltage unbalance caused by high proportion of photovoltaic power generation system in distribution network, an optimal configuration method combining voltage sensitivity matrix method and Gamultiobj function genetic algorithm was proposed. Firstly, the voltage sensitivity matrix method with road association matrix T is used to analyze the voltage weak nodes in the system and determine the governing node set. Then the multi-objective optimization model of voltage unbalance control equipment is constructed, and the weight and penalty factor are introduced to improve the model into dynamic model to ensure the accuracy of solution set. Finally, Niche technology was used to improve the environmental fitness of the sub-population of Gamultiobj function genetic algorithm, and the optimal configuration scheme considering voltage imbalance degree and economic cost was solved. The feasibility of the proposed method is verified by the simulation of IEEE30 node system.

Key words: voltage unbalance control, voltage sensitivity matrix, Gamultiobj function genetic algorithm, multi objective optimization model, niche technology

CLC Number:

TM761

HE Feng, WEI Guang-ming, YIN Qiao-rong, NI Yuan-hong, WANG Jie. Optimal configuration of voltage unbalance control equipment in distribution network[J]. Journal of Lanzhou University of Technology, 2023, 49(6): 95-99.

References

[1] LIU X,JIA J,WANG J.Research of three-phase unbalanced treatment in low-voltage distribution network based on new commutation switch[J].World Journal of Engineering and Technology,2019,7:10-17.
[2] HEIDARI-AKHIJAHANI A,SAFDARIAN A,EHTONEN M.Unbalance mitigation by optimal placement of static transfer switches in low voltage distribution feeders[J].Iet Generation,Transmission & Distribution,2020,14(20):4612-4621.
[3] 魏剑啸,粟忠来,杨波,等. 配电台区无功功率及三相不平衡电容调节的研究[J].电力系统保护与控制,2019,47(16):71-79.
[4] 吴丽珍,王晓婷,郝晓弘.多母线微电网电压不平衡分层分区优化控制[J].兰州理工大学学报,2020,46(1):111-117.
[5] 康勇,林新春,潘辰,等.弱电网下采用SVC与SVG补偿后新能源并网变换器的功率传输特性分析[J].中国电机工程学报,2021,41(6):2115-2125.
[6] 翟灏,卓放,易皓,等.基于SVG的电网多节点电压不平衡综合抑制方法[J].电力系统自动化,2017,41(12):40-47.
[7] 包正楷,季亮,常潇,等.不平衡电压跌落下新能源场站的主动电压支撑控制[J].电力系统保护与控制,2021,49(16):161-169.
[8] ZHAO C,ZHANG B,ZHANG L,et al.Optimal configuration of ESS and SVG for the coordinated improvement of power quality in low voltage distribution network with high penetration PV[C]//6th Asia Conference on Power and Electrical Engineering.Chongqing:IEEE,2021:1372-1377.
[9] SUN X,ZHANG W.Coordinated optimal voltage control strategy in distribution networks with multi-microgrids[C]//IEEE PES Asia-Pacific Power and Energy Engineering Conference.Sabah:IEEE,2018:88-93.
[10] WANG X,WANG C,XU T,et al.Optimal voltage regulation for distribution networks with multi-microgrids[J].Applied Energy,2018,210:1027-1036.
[11] DING X,SUN W,HARRISON G,et al.Multi-objective optimization for an integrated renewable,power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid[J].Energy,2020,213(8/9):118804.
[12] 符杨,刘冀宁,周晓鸣,等.不平衡主动配电网综合直接潮流算法[J].电网技术,2020,44(6):2281-2292.
[13] 叶泽,李湘旗,姜飞,等.考虑最优弃能率的风光火储联合系统分层优化经济调度[J].电网技术,2021,45(6):2270-2280.
[14] 王杰.含光伏电源的配电网中电能质量治理设备优化配置方法研究[D].兰州:兰州理工大学,2021.
[15] RAMLI Z,JAMALUDIN J,ABD RAHIM N,et al.Capacitor voltage balancing with online controller performance-based tuning for a switch-sharing-based multilevel inverter[J].Applied Sciences,2021,11(10):4428.
[16] KATYARA S,SHAIKH M F,SHAIKH S,et al.Leveraging a genetic algorithm for the optimal placement of distributed generation and the need for energy management strategies using a fuzzy inference system[J].Electronics,2021,10(2):172.