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含分布式电源的配电网中电池储能系统运行策略
引用本文:李秀磊,耿光飞,季玉琦,陆凌芝. 含分布式电源的配电网中电池储能系统运行策略[J]. 电力自动化设备, 2017, 37(11)
作者姓名:李秀磊  耿光飞  季玉琦  陆凌芝
作者单位:中国农业大学 信息与电气工程学院,北京 100083,中国农业大学 信息与电气工程学院,北京 100083,中国农业大学 信息与电气工程学院,北京 100083,中国农业大学 信息与电气工程学院,北京 100083
摘    要:针对配电网中因分布式电源(DG)的接入和负荷变化而引起的供需平衡问题,提出一种同时考虑DG和分时电价的蓄电池储能系统(BESS)充放电策略。第一步以降低能耗的收益与BESS套利之和最大为目标,以BESS各时段充放电功率为控制变量,以节点电压和充放电功率等为约束条件,在假设电池容量足够大的理想情况下建立划分充放电时段的数学模型;第二步以确定了充放电状态的各时段BESS功率为控制变量,并在第一步数学模型的基础上考虑荷电状态等约束,确定充放电功率的大小,并进一步划分充电、空闲和放电时段。修改的IEEE 33节点系统验证了所提策略的有效性。

关 键 词:蓄电池储能系统;分布式电源;运行策略;配电网;模型

Operation strategy of battery energy storage system in distribution network with distributed generation
LI Xiulei,GENG Guangfei,JI Yuqi and LU Lingzhi. Operation strategy of battery energy storage system in distribution network with distributed generation[J]. Electric Power Automation Equipment, 2017, 37(11)
Authors:LI Xiulei  GENG Guangfei  JI Yuqi  LU Lingzhi
Affiliation:College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China,College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China,College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China and College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract:Aiming at the supply and demand balance problem caused by DG(Distributed Generation) integ-ration and load change in distribution network, a charging and discharging strategy of BESS(Battery Energy Storage System) is proposed with the consideration of DG and time-of-use price. In the first step, a mathematical model for dividing charging and discharging periods is built ideally assuming the battery capacity is large enough, which takes the maximum sum of energy consumption reduction cost and BESS arbitrage as its objective, the charging and discharging power of BESS at each period as its control variables, the node voltage and charging and discharging power as its constraints. In the second step, the BESS power in each period with determined charging or discharging state is taken as the control variable, considering the state of charge and other constraints based on the mathematical model in the first step, the charging and discharging power are determined and the periods of charging, idle and discharging are further divided. A modified IEEE 33-bus system verifies the effectiveness of the proposed strategy.
Keywords:battery energy storage system   distributed power generation   operation strategy   distribution network   models
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