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文章摘要
基于新能源并网的电站综合无功优化控制算法研究
Received:August 31, 2014  Revised:September 02, 2014
DOI:
中文关键词: 新能源  电力系统稳定性  综合优化控制  免疫遗传算法
英文关键词: New energy  Spower system stability  Soptimal control  Simmune geneticSalgorithm
基金项目:
Author NameAffiliationE-mail
Hu yiwen* Jiang Xi Vocational Technical College of Electricity,Nanchang Jiangxi jjhuyiwen@163.com 
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中文摘要:
      在低碳经济的背景下,越来越多的新能源接入电网,由于新能源的广泛分布性、间歇性、随机性以及其储能逆变系统运行过程的谐波污染而导致的并网点端电压波动,严重时导致电压崩溃。为了保持新能源接入电网的稳定性,本文采用优化算法实现对电站的综合控制,主要包括调节发电侧机组的出力、输电侧的主变压器分接头以及电容器组的投退,或对电网中的某些节点新增投入无功补偿设备。算法以确保新增无功补偿容量最小和接入点最佳为最终控制目标,在分布式能源接入电网扰动影响较大的情况下,将遗传算法和免疫算法结合进行验证。通过编程将二者的优化结果进行比较后,证明免疫与遗传两种算法相结合的电压综合控制策略具有良好的收敛性和抗扰动能力,最后以实际案例证明了免疫遗传算法的实效性。
英文摘要:
      InSthe context of a low carbon economy,Smore and moreSnew energySaccess to the grid,SgridSpointSdue toSthe new energySis widely distributed,Sintermittent,Srandom and the stored energy ofSharmonic pollutionSinverter systemSoperationSprocess ofSvoltage fluctuation,Sleading to severeSvoltage collapse.SIn order to maintain theSstability ofSthe new energySgrid,StheSimplementation ofScomprehensive control ofSpower plantSmain transformerSoptimization algorithms,Sincluding regulationSof generation,Stransmission sideSoutputStapsSandSswitching,SorSadditional inputSwattles power compensationSequipmentSfor someSnodes in the network.SThe newSalgorithmSto ensure no optimalSreactive compensationScapacitySand minimumSaccess point for aSfinal control target,SdisturbanceSin access gridSdistributedSenergySis larger,Sthe combination of geneticSalgorithm and immuneSalgorithm.STheScomparisonSresults of the twoSafter theSoptimization,Sthe integrated control strategySof voltageSproofScombined immunologic and geneticStwo algorithms haveSgood convergence andSantiSdisturbance ability,Sand finally toSthe actual caseSto proveStheSeffectiveness of theSimmune genetic algorithm.
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