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带蓄电池储能系统的DSTATCOM有功无功联合优化控制
作者:
作者单位:

上海电力大学电气工程学院,上海市 200090

作者简介:

刘欢欢(1993—),女,硕士研究生,主要研究方向:主动配电网优化调度运行。E-mail:2671776342@qq.com
符杨(1968—),男,通信作者,博士,教授,主要研究方向:电力系统分析、风力发电并网技术及海上风电优化设计。E-mail:mfudong@126.com
苏向敬(1984—),男,博士,副教授,主要研究方向:主动配电网优化调度运行。E-mail:xiangjing_su@126.com

通讯作者:

基金项目:

国家重点研发计划资助项目(2017YFB0902805);上海市浦江人才计划资助项目(17PJ1403000)。


Joint Optimization Control of Active and Reactive Power for DSTATCOM with Battery Energy Storage System
Author:
Affiliation:

School of Electric Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China

Fund Project:

This work is supported by National Key R&D Program of China (No. 2017YFB0902805) and Shanghai Pujiang Talent Plan Project (No. 17PJ1403000).

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    摘要:

    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。

    Abstract:

    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.

    表 2 控制前后的目标函数Table 2 Objective functions before/after control
    图1 B-DSTATCOM的拓扑结构Fig.1 Topology of B-DSTATCOM
    图2 控制前后有功功率变化Fig.2 Active power change before/after control
    图3 控制前后的无功功率变化Fig.3 Reactive power change before/after control
    图4 控制前的节点电压Fig.4 Node voltage before control
    图5 控制后的节点电压Fig.5 Node voltage after control
    表 1 负荷及光伏分布情况Table 1 Distribution of load and photovoltaic power
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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(1):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(1):134-141. DOI:10.7500/AEPS20190512005.

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  • 收稿日期:2019-05-12
  • 最后修改日期:2019-07-12
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  • 在线发布日期: 2020-01-04
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