摘要
为了在提高居民用户电能质量和用电可靠性的同时减少电费开支,提出了一种源储荷协调优化数学模型及其改进强度Pareto进化算法。首先,建立用户侧储能系统模型,并根据各负荷参与需求侧响应与否以及参与方式进行分类;其次,以减少用电费用、降低电压偏差和缩短故障停电时长为目标,综合考虑功率平衡、储能荷电状态、柔性负荷的优化范围等约束条件,构建了在分时电价和需求侧响应机制下的多目标源储荷协调优化模型;然后,提出了基于改进强度Pareto进化算法和多目标模糊综合评价决策法的优化求解策略;最后,通过一个低压网络仿真算例验证了所提模型的有效性。
In order to improve the power quality and electricity consumption reliability while reducing the cost of electricity,this paper proposes a coordinated optimization of source-storage-load model and an improved strength Pareto evolutionary algorithm.First of all,the users’ energy storage system model is established,and the loads are classified according to whether they participate in demand response or not and how they participate in.Secondly,under the mechanism of time-of-use price and demand response,a multi-objective source-storage-load coordinated optimization model is established with the objectives of reducing the cost of electricity,modifying voltage offset and shortening the outage time at fault.In the established model,the con-straints of power balance,the state of charge of energy storage system and the allowed range of flexible load are considered comprehensively.Then,an optimization solving strategy is proposed based on improved strength Pareto evolutionary algorithm and the multi-objective fuzzy comprehensive evaluation decision method.Finally,the effectiveness of the proposed model is verified by a low-voltage network simulation example.
作者
冯浩洋
陈明丽
潘峰
杨雨瑶
马键
FENG Haoyang;CHEN Mingli;PAN Feng;YANG Yuyao;MA Jian(Metrology Center of Guangdong Power Grid Co.,Ltd.,Qingyuan,Guangdong 511547,China;Research Center of Smart Energy Technology,School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《南方电网技术》
CSCD
北大核心
2022年第4期86-94,共9页
Southern Power System Technology
基金
中国南方电网有限责任公司科技项目(GDKJXM20198388)
国家自然科学基金(52177085)。
关键词
居民用户
源储荷
需求侧响应
进化算法
协调优化
residents
source-storage-load
demand response
evolutionary algorithm
coordinated optimization
