兼顾通用性和差异性的20 kV电缆网无功配置率优化

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Abstract A reactive power planning method,based on the modeling approach from points to face and the correlation analysis,is put forward in this paper.From the perspective of reactive power balance,the characteristic parameters which influence the optimal rate of reactive power allocation (RPA) are divided into two categories.The ones that have less influence (LI) are used for creating the “point model” of the 20 kV urban cable network.And the others that have more influence (MI) are available for developing the point model toward multiple dimensions so that the analysis can cover different features lines.Then,with the optimization research on the rate of RPA in the 20kV urban cable network by the correlation analysis,the optimal referential range of the RPA rate which can be applied to distribute-electricity transformer district with different load characteristic is worked out.The article provides solutions for the limited research on the optimal research on the rate of RPA in 20 kV distribution network and the over-generalized guidelines neglecting the differences.Also,it avoids the limited generality of the other approaches considering every feeder’s optimal reactive power planning.The effectiveness of the method is verified by example results.

Key words： Rate of reactive power allocation reactive power optimization 20 kV urban cable network

Received: 07 July 2015 Published: 07 July 2016

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TM714

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	Articles by authors
	Zou Junxiong
	Chen Zexing
	Zhang Yongjun
	Zhu Gelan
	Cai Zexiang
	Lin Xiaolang
	Zuo Zhengmin

Cite this article:

Zou Junxiong,Chen Zexing,Zhang Yongjun等. Optimization of the Rate of Reactive Power Allocation in 20 kV Cable Networks Considering Generality and Difference[J]. Transactions of China Electrotechnical Society, 2016, 31(9): 8-15.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I9/8

[1] Wang Zhaokun,Huang Yuxiang,Yi Jun,et al.Application prospect and advantages of power supply system based on 20 kV power distribution network and microgrid in China[J].Applied Mechanics and Materials,2011,55-57:1356-1359.
[2] Zhang Jianhua,Zhang Min,Zeng Bo,et al.Economic evaluation of 20 kV distribution schemes based on multi-grey target theory[C]//China International Conference on Electricity Distribution,Shanghai,2012:1-4.
[3] 毛晓明,吴涛.城市高负荷密度新区电压层级方案适用性研究[J].电网技术,2014,38(3):782-788.
Mao Xiaoming,Wu Tao.Applicability study on voltage levels for new urban district with high load density[J].Power System Technology,2014,38(3):782-788.
[4] 张之昊,武建文,李平,等.应用于农村配电网的测量点与补偿点分离式无功补偿设备及其优化配置[J].电工技术学报,2015,30(3):205-213.
Zhang Zhihao,Wu Jianwen,Li Ping,et al.Reactive power compensation and its optimal allocation with measurement part and compensation part separated in rural power grid[J].Transactions of China Electrotechnical Society,2015,30(3):205-213.
[5] 彭思华,张勇军,黄媚.配电网无功配置基态分析规划法[J].电网技术,2013,37(9):2646-2652.
Peng Sihua,Zhang Yongjun,Huang Mei.A reactive compensation planning method of distribution network based on the base-state analysis[J].Power System Technology,2013,37(9):2646-2652.
[6] Ganguly S.Multi-objective planning for reactive power compensation of radial distribution networks with unified power quality conditioner allocation using particle swarm optimization[J].IEEE Transactions on Power Systems,2014,29(4):1801-1810.
[7] 李静,戴文战,韦巍.基于混合整数凸规划的含风力发电机组配电网无功补偿优化配置[J].电工技术学报,2016,31(3):121-129.
Li Jing,Dai Wenzhan,Wei Wei.A mixed integer convex programming for optimal reactive power compensation in distribution system with wind turbines[J].Transactions of China Electrotechnical Society,2016,31(3):121-129.
[8] Yan Wei, Wen Lili,Li W,et al.Decomposition-coordination interior point method and its application to multi-area optimal reactive power flow[J].International Journal of Electrical Power and Energy Systems,2011,33(1):55-60.
[9] 苏杰和,陈旭,张勇军.基于模糊隶属度及区间算术的电网电压优化新算法[J].电力系统保护与控制,2014,42(20):52-58.
Su Jiehe,Chen Xu,Zhang Yongjun.A new approach for voltage optimization based on fuzzy membership and interval arithmetic[J].Power System Protection and Control,2014,42(20):52-58.
[10]刁浩然,杨明,陈芳,等.基于强化学习理论的地区电网无功电压优化控制方法[J].电工技术学报,2015,30(12):408-414.
Diao Haoran,Yang Ming,Chen Fang,et al.Reactive power and voltage optimization control approach of the regional power grid based on reinforcement learning theory[J].Transactions of China Electrotechnical Society,2015,30(12):408-414.
[11]Xiong Hugang,Cheng Haozhong,Li Haiyu,et al.Optimal reactive power flow incorporating static voltage stability based on multi-objective adaptive immune algorithm[J].Energy Conversion & Management,2008,49(5):1175-1181.
[12]罗庆跃,刘白杨,孙柳青,等.基于松弛域模型的电容器无功补偿优化配置[J].电工技术学报,2015,30(17):79-84.
Luo Qingyue,Liu Baiyang,Sun Liuqing,et al.Optimal capacitor reactive power compensation method based on slack region model[J].Transactions of China Electrotechnical Society,2015,30(17):79-84.
[13]周攀,范旭娟,肖潇,等.基于改进算子的免疫遗传算法的电压无功优化[J].电力系统保护与控制,2014,42(20):110-115.
Zhou Pan,Fan Xujuan,Xiao Xiao,et al.Voltage and reactive power optimization based on immune genetic algorithm of improved operator[J].Power System Protection and Control,2014,42(20):110-115.
[14]刘华臣,王锡淮,肖健梅,等.基于群搜索算法的电力系统无功优化[J].电力系统保护与控制,2014,42(14):93-99.
Liu Huachen,Wang Xihuai,Xiao Jianmei,et al.Reactive power optimization based on group search optimizer[J].Power System Protection and Control,2014,42(14):93-99.
[15]刘文学,梁军,贠志皓,等.基于可信理论的多目标模糊机会约束无功优化[J].电工技术学报,2015,30(21):82-89.
Liu Wenxue,Liang Jun,Yun Zhihao,et al.Multi-objective fuzzy chance constrained optimal reactive power flow based on credibility theory[J].Transactions of China Electrotechnical Society,2015,30(21):82-89.
[16]国家电网公司.Q/GDW 370—2009城市配电网技术导则[S].2009.
[17]中国南方电网有限责任公司.Q/CSG10012—2005中国南方电网城市配电网技术导则[S].2005.
[18]江苏省电力公司.20 kV配电系统技术导则[S].2007.
[19]国网浙江省电力公司.Q/GW11 356—2013—10104国网浙江省电力公司20 kV配电网典型供电模式技术规范[S].2013.
[20]靳龙章,丁毓山.电网无功补偿实用技术[M].北京:中国水利水电出版社,1997.
[21]张勇军,任震,钟红梅,等.基于灾变遗传算法的无功规划优化[J].电力系统自动化,2002,26(23):1-4.
Zhang Yongjun,Ren Zhen,Zhong Hongmei,et al.Optimization of reactive power planning based on cataclysmic genetic algorithm[J].Automation of Electric Power Systems,2002,26(23):1-4.