基于萤火虫算法的分布式风电源优化配置
Optimal Allocation of Distributed Wind Generation Based on Firefly Algorithm
倪健 1黄红程 2顾洁 2方陈3
作者信息
- 1. 国网上海市电力公司崇明供电公司,上海200150
- 2. 上海交通大学,上海200240
- 3. 国网上海市电力公司电力科学研究院,上海200437
- 折叠
摘要
针对分布式风机出力的随机性和负荷的不确定性,建立了以年综合费用期望最小为目标的分布式风电源优化配置模型.模型中以机会约束的形式描述节点电压和支路潮流约束,并采用基于LHS-MCS的随机潮流进行检验.将萤火虫算法(Firefly Algorithm)应用于该优化配置模型的求解,结合IEEE 33节点算例验证了本模型的合理性,与遗传算法计算结果的对比表明了本文所提出算法的高效性.
Abstract
In view of the randomness of distributed wind generation (DWG) and uncertainties of wind power load,this paper proposes a DWG optimal allocation model aiming at minimizing the annual overall cost.Thereby,the nodal voltage and branch flow constraints are described in the form of chance constrained programming,and are examined by of stochastic power flow based on Latin Hypercube Sampling-Monte Carlo Simulation (LHS-MCS).Firefly algorithm is adopted to solve the model.Results of IEEE 33 bus test system have confirmed the rationality of the proposed model.Its efficiency has been proved by the comparison with Genetic Algorithm (GA).
关键词
分布式风电源/优化配置/机会约束规划/随机潮流/萤火虫算法/配网规划Key words
distributed wind generation/optimal allocation/chance constrained programming/stochastic power flow/firefly algorithm/distribution network planning引用本文复制引用
基金项目
国家科技支撑计划重大项目(2013BAA01B04)
国家电网公司科技项目(520940120036)
出版年
2014
NETL
NSTL
维普
万方数据