基于需量管理的两阶段大用户储能优化模型

CHEN Lijuan

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基于需量管理的两阶段大用户储能优化模型

更新时间：2025-08-13

- 基于需量管理的两阶段大用户储能优化模型
- Automation of Electric Power Systems Vol. 43, Issue 1, Pages: 194-200(2019)
- 作者机构：
  
  东南大学电气工程学院,江苏省,南京市,210018
- 作者简介：
- 基金信息：
- DOI：
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- Published：2019
- 稿件说明：
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CHEN Lijuan. [J]. Automation of electric power systems, 2019, 43(1): 194-200.
DOI：

CHEN Lijuan. [J]. Automation of electric power systems, 2019, 43(1): 194-200. DOI：

摘要

为推进用户侧储能商业化应用，对用户侧储能从规划和运行两方面综合考虑，提出了一种需量管理捆绑峰谷套利的工业大用户储能评估及优化调度方法。首先，在储能评估阶段，以用户的综合成本最小搭建储能评估模型，评估用户加装储能的经济性并优化储能配置；然后，在调度优化方法方面，构建了储能月前和日内两阶段优化模型。在月前优化中，确定用户上报的最大需量；在日内优化中，基于最大需量约束，优化每日的储能充放电功率。最后，在MATLAB平台基于CPLEX求解器分别对4家典型工业大用户进行算例仿真，验证了模型的经济有效性，并为用户侧储能电池的商业化推广提供了可行性方案。

Abstract

To promote the commercial application of energy storage on the user side

the user-side energy storage is considered from both planning and operation period. A storage energy assessment and optimization scheduling method for industrial large users with demand management and arbitrage is proposed. Firstly

in the assessment stage

the energy storage assessment model is built with the user's minimum overall cost to evaluate the economic benefits of the users and to optimize the energy storage configuration. Secondly

a two-stage optimal storage model is established in the operation period. In the month-ahead optimization

the user's overall cost is minimized to determine the reported demand. Then

in the day-ahead optimization

the maximum arbitrage is utilized as objective function to optimize the charge and discharge power of the storage. Finally

based on CPLEX solver in MATLAB platform

four typical industrial enterprises are chosen as simulation cases to verify the effectiveness of the models. Moreover

a feasible solution for the commercialization of the user-side energy storage battery is provided.

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