基于方向性遗传-粒子群混合算法的有源配电网无功优化

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (5576 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract A directional reactive power optimization method for distribution networks with distributed generation that combine genetic algorithm (GA) and particle swarm optimization (PSO) is proposed in this paper. It first builds the mathematical model aiming to the minimum sum of active power loss with the over-limit voltage, besides, improves the penalty coefficient of the over-limit voltage. Secondly it runs GA and PSO alternately. In the process, the mutation operation is guided by the incremental transmission losses of control variable computed by transposed Jacobian matrix method. In addition, memory operator and speed update operator are added to GA to protect the memory function of PSO and enhance convergence speed respectively. The simulation result shows that the method could reduce the randomicity of GA and reduce the possibility of trap in local optimum in PSO.

Key words： active distribution networks reactive power optimization incremental transmission losses genetic algorithm particle swarm optimization directional

Published: 19 May 2016

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Wang Shuhong
	Shao Zhenguo

Cite this article:

Wang Shuhong,Shao Zhenguo. Reactive Power Optimization of Distribution Networks with DG based on a Directional GA-PSO Hybrid Algorithm[J]. Electrical Engineering, 2016, 17(5): 16-22.

URL:

http://dqjs.cesmedia.cn/EN/Y2016/V17/I5/16

[1] 贾德香, 唐国庆, 韩净. 基于改进模拟退火算法的电网无功优化[J]. 继电器, 2004, 32(4): 32-35.
[2] 杨银国, 张伏生, 贺春光, 等. 配电网无功电压优化控制求解的一种新方法[J]. 电力系统自动化, 2005, 29(9): 45-49.
[3] 周鑫, 诸弘安, 马爱军. 基于多种群蚁群算法的多目标动态无功优化[J]. 电网技术, 2012, 36(7): 231-236.
[4] 赵晶晶, 符杨, 李东东. 考虑双馈电机风电场无功调节能力的配电网无功优化[J]. 电力系统自动化, 2011, 35(11): 33-38.
[5] NIKNAM T, RANJBAR A M, SHIRANI A R. Impact of distributed generation on volt/Var control in distribution networks[C]. 2003.
[6] 赵昆, 耿光飞. 基于改进遗传算法的配电网无功优化[J]. 电力系统保护与控制, 2011, 39(5): 57-62, 68.
[7] 彭磊, 张建平, 吴耀武, 等. 基于GA、PSO结合算法的交直流系统无功优化[J]. 高电压技术, 2006, 32(4): 78-81.
[8] 刘方, 颜伟, David CY. 基于遗传算法和内点法的无功优化混合策略[J]. 中国电机工程学报, 2005, 25(15): 67-72.
[9] 耿光飞, 杨仁刚. 基于定向变异遗传算法的地区电网无功功率优化[J]. 电网技术, 2004, 28(10): 42-44, 54.
[10] 刘丽军, 蔡金锭. 基于自适应强引导粒子群算法的电力系统无功优化[J]. 电工电能新技术, 2012, 31(4): 24-28, 38.
[11] 黄志刚, 李林川, 杨理, 等. 电力市场环境下的无功优化模型及其求解方法[J]. 中国电机工程学报, 2003, 23(12): 79-83.
[12] ERWIN S R, FALLON S A, GIBSON C A. On-line calculation of incremental transmission losses in an electric power system[C]. Knoxville, TN: 1988.
[13] 王主丁, 邢颢华, 冯祈善, 等. 网损微增率计算方法的研究——阻抗矩阵法网损微增率计算公式的再认识[J]. 电力系统及其自动化学报, 1994, 6(4): 13-22.
[14] 陈恳, 李小锐, 徐敏. 网损微增率新解法与转置雅可比矩阵法用于有功优化计算的比较[J]. 中国电机工程学报, 2000, 20(7): 35-37, 40.
[15] 陈珩. 电力系统稳态分析[M]. 北京: 水利电力出版社, 1985.
[16] 王守相, 黄丽娟, 王成山, 等. 分布式发电系统的不平衡三相潮流计算[J]. 电力自动化设备, 2007, 27(8): 11-15.
[17] 陈海焱, 陈金富, 段献忠. 含分布式电源的配电网潮流计算[J]. 电力系统自动化, 2006, 30(1): 35-40.
[18] 王守相, 江兴月, 王成山. 含风力发电机组的配电网潮流计算[J]. 电网技术, 2006, 30(21): 42-45, 61.
[19] Baran M E, Wu F F. Network reconfiguration in distribution systems for loss reduction and load balancing[J]. Power Engineering Review, IEEE, 1989, 9(4): 101-102.