计及激励型需求响应的低压配电网混合储能优化配置
Optimal Allocation of Hybrid Energy Storage in Low-Voltage Distribution Networks with Incentive-based Demand Response
徐峰亮 1王克谦 1王文豪 2王鹏 1王文烨 3张帅 3赵凤展3
作者信息
- 1. 国网河南省电力公司信阳供电公司,河南信阳 464000
- 2. 国网河南省电力公司经济技术研究院,河南郑州 450000
- 3. 中国农业大学信息与电气工程学院,北京 100083
- 折叠
摘要
分布式光伏高比例接入和再电气化与电能替代加剧了系统源、荷的波动性,传统低压配电网规划方法难以适应新型电力系统发展的要求.针对此问题,首先建立了计及激励型需求响应的低压配电网混合储能优化配置模型,然后,根据不同时间尺度下的储能设备和激励型需求侧响应资源的特点,提出运用改进的变分模态分解算法(variational mode decomposition,VMD)对净负荷曲线进行多尺度分解和组合重构,以系统总成本和有功功率波动值之和最小为目标,运用改进的鲸鱼优化算法对所提的优化配置模型进行求解.最后,通过算例验证所提方案的有效性.
Abstract
With the high penetration rate of distributed photovoltaic access and the promotion of re-electrification and electrical energy substitution,the volatility of the system source and load is intensified,and the traditional distribution network planning methods are difficult to adapt to the requirements of the new power system development.To address this problem,an optimal allocation model for hybrid energy storage in low-voltage distribution networks considering incentive-based demand response is firstly established.Then,based on the characteristics of energy storage devices and incentive-based demand-side response resources at different time scales,it is proposed to use the improved VMD algorithm to make a multi-scale decomposition and combined reconstruction of the net load curves,and the improved whale optimization algorithm is used to solve the optimal allocation model with the objective of the minimum sum of the total system cost and active power fluctuation value.Finally,the effectiveness of the proposed scheme is verified with practical examples.
关键词
低压配电网/激励型需求响应/混合储能优化配置/改进的VMD/改进的鲸鱼优化算法Key words
low-voltage power distribution network/incentive-based demand response/optimal allocation of hybrid energy storage/improved VMD algorithm/improved whale optimization algorithm引用本文复制引用
基金项目
国家电网科技项目(521770220001)
出版年
2024
国家科技期刊平台
NSTL
万方数据