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上海电力大学电气工程学院,上海市 200090
Received:12 May 2019,
Revised:2019-07-12,
Published Online:23 October 2019,
Published:10 January 2020
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刘欢欢,符杨,苏向敬等.带蓄电池储能系统的DSTATCOM有功无功联合优化控制[J].电力系统自动化,2020,44(01):134-141.
LIU Huanhuan,FU Yang,SU Xiangjing,et al.Joint Optimization Control of Active and Reactive Power for DSTATCOM with Battery Energy Storage System[J].Automation of Electric Power Systems,2020,44(01):134-141.
刘欢欢,符杨,苏向敬等.带蓄电池储能系统的DSTATCOM有功无功联合优化控制[J].电力系统自动化,2020,44(01):134-141. DOI: 10.7500/AEPS20190512005.
LIU Huanhuan,FU Yang,SU Xiangjing,et al.Joint Optimization Control of Active and Reactive Power for DSTATCOM with Battery Energy Storage System[J].Automation of Electric Power Systems,2020,44(01):134-141. DOI: 10.7500/AEPS20190512005.
蓄电池储能系统接入配电网静止同步补偿器(B-DSTATCOM)进行有功无功联合控制可有效缓解高波动性分布式电源大量接入配电网导致的电压越限、网损加重、三相不平衡度增加等系列问题。对此,文中提出一种计及光伏发电的不平衡主动配电网B-DSTATCOM实时有功无功联合优化控制策略。首先,对B-DSTATCOM四象限运行原理进行研究,在此基础上以电压偏移、网损、电压不平衡度及运行成本为子目标函数建立B-DSTATCOM实时有功无功联合多目标优化控制模型,并采用加权求和法、改进粒子群优化及直接潮流法求得最优控制方案。最后,基于澳大利亚某实际含光伏低压不平衡配电网进行MATLAB仿真,验证所提方法及模型的有效性、实用性和鲁棒性。
Joint control of active and reactive power for distribution static synchronous compensator embedded with battery energy storage system (B-DSTATCOM) can effectively mitigate problems caused by large-scale distributed generators with high volatility integrated into distribution network
such as voltage violation
increased network loss and three-phase unbalance. Therefore
this paper proposes a real-time joint optimization control strategy of active and reactive power for B-DSTATCOM in unbalanced active distribution networks considering the impacts of photovoltaic generation. Firstly
the operation principle of B-DSTATCOM within four quadrants is studied. On this basis
a real-time multi-objective optimization control model of active and reactive power for B-DSTACTOM is established
in which the voltage deviation
network loss
voltage unbalance and operation cost are used as sub-objective functions. Then
the optimal control scheme is jointly solved by the weighted sum method
improved particle swarm optimization method and direct load flow algorithm. Finally
the effectiveness
practicability and robustness of the proposed control strategy are verified based on MATLAB simulation of an actual unbalanced distribution network with photovoltaic sources in Australia.
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