摘要
为解决用户侧储能容量优化配置问题,提出了一种基于储能全生命周期收益模型的优化方法。该模型综合考虑了峰谷电费收益、需量电费收益、储能设备的初始投资成本和运维成本等因素,结合储能容量约束、荷电状态限制等多重约束条件,构建了储能全生命周期收益模型。为了高效求解储能容量的最优配置,提出了一种基于梯度上升的优化求解方法,用于解决储能容量的整数线性规划问题。实验结果表明,所提优化方法能够在短时间内准确筛选出适合安装储能设备的目标用户,并实现储能容量的最优配置。此外,与传统的优化方法相比,基于梯度上升的优化方法在全生命周期收益计算和优化寻优时间上节省了超过60%的时间,展现出明显的优势。
In order to solve the problem of optimizing the configuration of energy storage capacity on the user side,this paper proposes an optimization method based on the full life cycle benefit model of energy storage.This model comprehensively considers factors such as peak valley electricity revenue,demand electricity revenue,initial investment cost and operation and maintenance cost of energy storage equipment,and based on this,combines multiple constraints such as energy storage capacity constraints and state of charge constraints to construct an energy storage lifecycle revenue model.In order to efficiently solve the optimal configuration of energy storage capacity,a gradient rise based optimization solution method is proposed to solve the integer linear programming problem of energy storage capacity.The experimental results show that the proposed optimization method can accurately screen target users suitable for installing energy storage devices in a short period of time and achieve the optimal configuration of energy storage capacity.In addition,compared with traditional optimization methods,the gradient rise based optimization method saves more than 60%of the time in calculating the full lifecycle benefits and optimizing,demonstrating significant advantages.
作者
赵坚鹏
ZHAO Jianpeng(State Grid Hangzhou Power Supply Company,Hangzhou 310000,China)
出处
《电工技术》
2025年第S1期445-447,451,共4页
Electric Engineering
关键词
用户侧储能
储能配置
容量优化
梯度上升
user side energy storage
energy storage configuration
capacity optimization
gradient ascent
