Power Distribution of Vanadium Redox Battery Energy Storage System Based on P-AWPSO Algorithm
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Power Distribution of Vanadium Redox Battery Energy Storage System Based on P-AWPSO Algorithm
Vol. 46, Issue 2, Pages: 500-510(2020)
作者机构:
合肥工业大学电气与自动化工程学院
作者简介:
基金信息:
DOI:
CLC:
Published Online:29 February 2020,
Published:2020
稿件说明:
移动端阅览
QIU Ya, LI Xin, CHEN Wei, et al. Power Distribution of Vanadium Redox Battery Energy Storage System Based on P-AWPSO Algorithm[J]. 2020, 46(2): 500-510.
DOI:
QIU Ya, LI Xin, CHEN Wei, et al. Power Distribution of Vanadium Redox Battery Energy Storage System Based on P-AWPSO Algorithm[J]. 2020, 46(2): 500-510.DOI:
Power Distribution of Vanadium Redox Battery Energy Storage System Based on P-AWPSO Algorithm
摘要
为了提高全钒液流电池储能系统的效率
促进其高效利用
提出基于P-AWPSO (priority-adaptive weight particle swarm optimization)的功率分配策略。首先给出包含折损成本、损耗率及电池荷电状态(state of charge
In order to improve the efficiency of vanadium flow battery energy storage system and promote its efficient utilization
a power distribution strategy based on priority-adaptive weight particle swarm optimization(P-AWPSO) algorithm is proposed. Firstly
a multi-objective optimization model including a compromise among the loss cost
loss rate and state of charge(SOC) is proposed
as well as four indexes to evaluate the power distribution of vanadium redox battery energy storage system. Then
a P-AWPSO algorithm is adopted to solve the problem. This algorithm uses the idea of ―selecting the unit first and then distributing the power‖
in other words
the energy storage unit which can participate in the power distribution is selected firstly according to the priority
and then the power distribution is carried out in the selected energy storage unit. Finally
the algorithm is used in the simulation of two examples and compared with the traditional power allocation algorithm. The simulation results show that the strategy can realize the power distribution of the vanadium redox battery energy storage system
reduce the charge and discharge times of the battery
reduce the running cost of the battery and improve the working efficiency.
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