摘要
由于所建立含分布式光伏(PV)的有源配电网电压无功优化模型是一个典型的非凸混合整数非线性优化模型,提出一种改进交替方向乘子法(ADMM)来求解含分布式光伏的配电网电压无功优化问题。首先以有载调压变压器和投切电容器组为例,建立一种新的广义可分解有源配电网电压无功优化模型,然后根据ADMM算法将有源配电网电压无功优化模型分解为2个子问题求解,并设计惩罚参数的自适应调节机制以加速收敛。在3个不同规模有源配电网算例上进行仿真测试,结果表明,所提出改进ADMM方法具有较好的收敛性和最优解。
Since the voltage and reactive power optimization model of distribution network with distributed photovoltaic(PV)is a typical non convex mixed integer nonlinear optimization model,this paper proposes an improved alternating direction multiplier method(ADMM)to solve the voltage and reactive power optimization problem of distribution network with distributed photovoltaic.Taking on load tap changer and switched capacitor bank as examples,a new generalized decomposable voltage and reactive power optimization model of active distribution network with distributed photovoltaic is established.Then,the voltage and reactive power optimization model of distribution network with distributed photovoltaic is decomposed into two subproblems to solve according to ADMM algorithm,and a self-adaptive adjustment mechanism of penalty parameters is designed to accelerate convergence.Simulation tests on three distribution network examples of different scales show that the improved ADMM method proposed in this paper has better convergence and better optimal solution.
作者
孙胜博
饶尧
郭威
乐健
张然
孙志成
Sun Shengbo;Rao Yao;Guo Wei;Le Jian;Zhang Ran;Sun Zhicheng(State Grid Hebei Marketing Service Center,Shijiazhuang 050021,China;State Grid Electric Power Research Institute(Nari Group Corporation),Nanjing 211000,China;State Grid Electric Power Research Institute Wuhan Energy Efficiency Evaluation Company,Wuhan 430074,China;School of Electrical Engineering and Automation,Wuhan University,Wuhan 430072,China;State Grid Hebei Electric Power Co.,Ltd.,Shijiazhuang 050021,China)
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2024年第3期506-516,共11页
Acta Energiae Solaris Sinica
基金
国家电网有限公司总部管理科技项目(1400-202213424A-2-0-ZN)。
关键词
分布式光伏
无功优化
交替方向乘子法
收敛性
全局最优
distributed photovoltaic
reactive power optimization
alternating direction multiplier method
astringency
global optimum
