Research on optimal configuration strategy of user⁃side energy storage considering demand management

张继元; 陈皓勇; 王卫宏

doi:10.3969/j.issn.1009-1831.2020.05.005

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Research on optimal configuration strategy of user⁃side energy storage considering demand management

更新时间：2026-03-05

- Research on optimal configuration strategy of user⁃side energy storage considering demand management
- Vol. 22, Issue 5, (2020)
- 作者机构：
  
  1. 华南理工大学电力学院,广州,510641
  2. 广州智光电气股份有限公司,广州,510760
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2020.05.005
  CLC：
- Published：2020
- 稿件说明：
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张继元, 陈皓勇, 王卫宏. Research on optimal configuration strategy of user⁃side energy storage considering demand management[J]. 2020, 22(5).
DOI：

张继元, 陈皓勇, 王卫宏. Research on optimal configuration strategy of user⁃side energy storage considering demand management[J]. 2020, 22(5). DOI： 10.3969/j.issn.1009-1831.2020.05.005.

摘要

为推动储能的商业化应用，考虑应用于两部制电价条件下的用户侧储能规划与运行场景，提出了参与需量管理下的全生命周期储能系统功率及容量配置优化方法。首先，构建了储能参与需量管理的年化收益模型，包括电量电费部分和基本电费部分，同时针对储能的功率进行惩罚约束；其次，对储能的全生命周期成本进行评估，考虑了电池特性的衰减对其充放电量的影响，量化其电量损失成本函数；然后，根据储能系统运行场景的负荷特性、分时电价、储能荷电状态、充放电功率等约束条件，构建以储能运行年化总成本最小的目标函数；最后通过实际工程算例进行评估，验证了所构建模型的经济合理性，为用户侧储能的投资决策和运行指导提供依据。

Abstract

To promote the large scale commercial application of battery energy storage system

the energy storage is considered from both planning and operation under two part tariff scenario. An optimized configuration and assessment strategy with whole life cycle considering demand management is proposed. Firstly

the annual revenue model of energy storage participating in demand management arbitrage is constructed

including energy price and basic electricity demand charge. Meanwhile

the power randomness of energy storage is restrained. Secondly

the whole life cycle cost of energy storage is evaluated

and the impact of battery capacity degradation is considered to quantify its loss cost function.Then

integrated with the historical load

time of use electricity price

state of charge

charge discharge power and other constraints of the energy storage system

the minimum objective function is utilized to optimize the output power of energy storage. Finally

the economic feasibility of the model is verified through practical examples

which provides basis for the investment decision and operation guidance of user side energy storage.

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