基于模糊贴近度的主动配电网无功优化配置策略研究
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摘要
分布式电源接入比例的增加使得主动配电网中电压波动性增大、潮流分布不合理的现象越来越突出,为了有效提高主动配电网的供电质量,优化潮流分布,本文详细探讨了主动配电网的多目标无功优化问题。以电容器组的接入位置和投入数量作为优化变量,选取网络损耗和电容器组运行投资成本这两个目标建立数学模型。基于遗传算法对目标函数进行优化,并得到相应非劣解。在通过遗传算法仿真得到的若干组解中计算每组解对应的模糊贴近度,最终找到贴近度最大对应的那组解即为最优配置。算例表明,基于模糊贴近度所确定的电容器组优化配置方案降低了网络的有功,提高了电压质量,具有较好的优化效果。
The increase in the proportion of access to distribution generator makes the phenomenon of increased voltage volatility and unreasonable distribution of power flow in active distribution networks.In order to effectively improve the power supply quality of the active distribution network and optimize the distribution of power flow,the multi-objective reactive power optimization of active distribution networks were discussed.Taking the access position and the number of inputs of the capacitor bank as the optimization variables,the two goals of network loss and capacitor bank operation investment cost were selected to establish a mathematical model.The objective function was simulated and optimized based on genetic algorithm,and 70 non-inferior solutions were obtained.Finally,the optimal configuration scheme of the capacitor bank was selected by using fuzzy closeness.The example showed that the optimized configuration scheme of the capacitor bank determined based on the fuzzy closeness degree reduced the active power of the network and improved the voltage quality,which had a better optimization effect.
The increase in the proportion of access to distribution generator makes the phenomenon of increased voltage volatility and unreasonable distribution of power flow in active distribution networks.In order to effectively improve the power supply quality of the active distribution network and optimize the distribution of power flow,the multi-objective reactive power optimization of active distribution networks were discussed.Taking the access position and the number of inputs of the capacitor bank as the optimization variables,the two goals of network loss and capacitor bank operation investment cost were selected to establish a mathematical model.The objective function was simulated and optimized based on genetic algorithm,and 70 non-inferior solutions were obtained.Finally,the optimal configuration scheme of the capacitor bank was selected by using fuzzy closeness.The example showed that the optimized configuration scheme of the capacitor bank determined based on the fuzzy closeness degree reduced the active power of the network and improved the voltage quality,which had a better optimization effect.
引文
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[16]Chamana,Chowdhury,Jahanbakhsh.Distributed control of voltage regulating devices[J/OL].IEEE Transactions on Smart Grid,DOI:10.1109/TSG.2016.2576405.
[2]王勇,陈明,张明,等.基于等网损微增率的主动配电网分布式无功优化方法[J].电网技术,2017,41(12):3780-3789.
[3]魏承志,苏杰和,文安,等.含DSTATCOM和分布式电源配电网的无功电压协调控制[J].电力系统自动化,2015(09):132-137,163.
[4]王旭强,刘广一,曾沅,等.分布式电源接入下配电网电压无功控制效果分析[J].电力系统保护与控制,2014(01):47-53.
[5]吴丽珍,蒋力波,郝晓弘.基于最优场景生成算法的主动配电网无功优化[J].电力系统保护与控制,2017,45(15):152-159.
[6]张鹏,肖芳淳.模糊贴近度在多目标优化中的应用[J].计算结构力学及应用,1989,6(1):48-57.
[7]陈旭,张勇军,黄向敏.主动配电网背景下无功电压控制方法综述[J].电力系统自动化,2016,40(01):143-151.
[8]王丽艳.电力市场条件下配电网无功优化方法的研究[D].河北:河北农业大学,2006.
[9]温正.精通MATLAB智能算法[M].北京:清华大学出版社,2015.
[10]杨德昌,廖文龙,孙雪,等.基于满意度阈值判定的主动配电网无功优化[J].电网技术,2017,41(09):3003-3010.
[11]胡超.主动配电网中无功功率全局协调控制策略[D].北京:北京交通大学,2017.
[12]尤毅,陈炯聪,余南华.主动配电网电压协调控制[J].南方电网技术,2015(09):81-86.
[13]陈珩.电力系统稳态分析[M].北京:中国电力出版社,2007:142-163.
[14]R.A.Wailing,R.saint,R.C.Dugan,et al.Summary of distributed resources impact on power deliverysystem[J].IEEE Trans on Power Delivery,2008,23(3):1636-1644.
[15]Schiffer J,Seel T,Raisch J,et al.Voltage stability and reactive power sharing in inverter-based microgrids with consensus-based distributed voltage control[J].IEEE Transactions on Control Systems Technology,2016,24(1):96-109.
[16]Chamana,Chowdhury,Jahanbakhsh.Distributed control of voltage regulating devices[J/OL].IEEE Transactions on Smart Grid,DOI:10.1109/TSG.2016.2576405.