采用改进粒子群算法的直流电网最优潮流控制

发布时间：2018-02-27 22:27

本文关键词： 直流电网最优潮流粒子群算法模糊控制　出处：《电网技术》2017年03期 　论文类型：期刊论文

【摘要】：基于柔性直流输电技术的直流电网具有灵活安全的潮流控制能力,在大规模清洁能源发电、海洋群岛供电及新型城市电网构建等方面已成为最有效的技术手段之一。针对直流电网中的最优潮流问题,提出了一种基于模糊控制理论的自适应粒子群算法,以实现电网兼顾有功网损和电压质量的优化运行。首先利用模糊隶属度曲线将两目标转化为单一优化目标,引入当前步适应度为模糊控制器输入端动态调节粒子群算法中的控制参数,使其具更快的收敛性,再用改进的粒子群算法对六端直流电网潮流优化模型进行了求解。最后通过仿真算例验证了所提改进粒子群算法的有效性和可行性。
[Abstract]:The DC network based on the flexible direct current transmission technology has flexible and safe power flow control ability, in the large-scale clean energy generation, The ocean archipelagic power supply and the construction of a new type of urban power network have become one of the most effective technical means. An adaptive particle swarm optimization algorithm based on fuzzy control theory is proposed to solve the problem of optimal power flow in direct current networks. In order to realize the optimal operation of both active power loss and voltage quality, the fuzzy membership curve is used to transform the two objectives into a single optimization objective. The current step fitness is introduced to dynamically adjust the control parameters of the PSO algorithm at the input end of the fuzzy controller, which makes the PSO convergent faster. Then the improved particle swarm optimization algorithm is used to solve the power flow optimization model of the six-terminal DC network. Finally, the effectiveness and feasibility of the improved particle swarm optimization algorithm are verified by a simulation example.
【作者单位】：先进输电技术国家重点实验室(全球能源互联网研究院);
【基金】：国家重点基础研究发展计划项目(973项目(2012CB215204)~~
【分类号】：TM721.1

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