王利利, 蒋小亮, 全少理, 关朝杰, 刘文霞, 凌云頔. 基于改进和声算法的配电网风电机组选址定容方法[J]. 现代电力, 2016, 33(5): 7-11.
引用本文: 王利利, 蒋小亮, 全少理, 关朝杰, 刘文霞, 凌云頔. 基于改进和声算法的配电网风电机组选址定容方法[J]. 现代电力, 2016, 33(5): 7-11.
WANG Lili, JIANG Xiaoliang, QUAN Shaoli, GUANG Chaojie, LIU Wenxia, LING Yundi. Optimal Placement and Sizing Planning of the Grid-connected Wind Power in Distribution Network by Considering the Improved Harmony Algorithm[J]. Modern Electric Power, 2016, 33(5): 7-11.
Citation: WANG Lili, JIANG Xiaoliang, QUAN Shaoli, GUANG Chaojie, LIU Wenxia, LING Yundi. Optimal Placement and Sizing Planning of the Grid-connected Wind Power in Distribution Network by Considering the Improved Harmony Algorithm[J]. Modern Electric Power, 2016, 33(5): 7-11.

基于改进和声算法的配电网风电机组选址定容方法

Optimal Placement and Sizing Planning of the Grid-connected Wind Power in Distribution Network by Considering the Improved Harmony Algorithm

  • 摘要: 本文在考虑配电网风机规划时,量化风电的环境效益以突出风电减排效益,建立了考虑风电环境效益的风电并入配电网规划模型,分析风电并网引起的配网成本效益变化,并以配电网风电净收益最大为目标函数,之后,本文提出结合差分进化算法与和声算法进行模型求解,改进和声算法中搜索方向性不定的缺点。算例中通过与未考虑风电环境效益的规划方案进行对比,得到量化环境效益能提高风电在配网中渗透率的结论,通过与基本和声算法的对比,可知改进和声算法收敛性较好。

     

    Abstract: In this paper, the environmental benefits of wind power is quantified and the distribution network planning model with environmental benefits is built when considering the wind power planning problems. On the basis, cost-benefit changes of distribution network caused by wind power is analyzed, and the objective is to maximize the net income of power wind. Then, the improved harmony algorithm is put forward to solve this model, which avoids the shortcoming of searching direction in harmony algorithm. Through comparison with the planning scheme without considering the benefit of wind power environment in the example, it is concluded that the quantitative environmental benefit can improve the penetration of wind power in the distribution network. By comparing with the basic harmony algorithm, it is known that the improved harmony algorithm has better convergence performance.

     

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