| 引用本文: | 周冬旭,李晓明.面向电力市场的含风电机组配电网无功优化模型及其求解算法[J].电力自动化设备,2013,33(4): |
| ZHOU Dongxu,LI Xiaoming.Reactive power optimization model and its algorithms for distribution systemwith wind farm in electricity market[J].Electric Power Automation Equipment,2013,33(4): |
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| 摘要: |
| 从电力市场角度出发，在研究变速恒频双馈异步风电机组（DFIG）功率特性的基础上，按照无功功率流向的不同以及无功功率与有功功率的关系，将DFIG输出功率分为3个运行区域，并给出各个区域内无功功率费用计算函数。建立以有功网损、无功功率费用及电压越限最小为目标函数的无功优化模型，采用基于自适应步长的细菌觅食优化-粒子群优化混合智能算法进行求解，避免了标准细菌觅食算法易陷入局部最优解的缺点，进一步提高了优化前期的全局搜索能力和优化后期的局部搜索能力。仿真算例表明，所提方法有效降低了系统网损，并充分调动风电场参与电网无功电压调节。 |
| 关键词: 风电 双馈风电机组 混合智能算法 无功 优化 模型 |
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| Reactive power optimization model and its algorithms for distribution systemwith wind farm in electricity market |
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ZHOU Dongxu, LI Xiaoming
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School of Electrical Engineering，Wuhan University，Wuhan 430072，China
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| Abstract: |
| From the perspective of electricity market and based on the research of variable-speed constant-frequency DFIG（Doubly-Fed Induction Generator），the output power of DFIG is divided into three operational zones according to the direction of reactive power and the relationship between reactive power and active power，and the corresponding function for calculating the reactive power costs is given for each zone. The reactive power optimization model is established，which takes the minimum power loss，reactive power cost and voltage limit violation as its objectives，and solved by the hybrid intelligent algorithm of bacteria foraging optimization and particle swarm optimization with adaptive step-size，which improves the global searching ability in early stage and the local searching ability in late stage to avoid the easy local optimal solution of bacteria foraging optimization. Case simulation shows that，the proposed method effectively reduces the network loss and fully mobilizes the wind farm in the reactive voltage regulation. |
| Key words: wind power doubly-fed induction generator hybrid intelligent algorithm reactive power optimization models |
