独立模式下微网多能存储系统优化配置

CUI Mingyong

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独立模式下微网多能存储系统优化配置

更新时间：2025-08-13

- 独立模式下微网多能存储系统优化配置
- Automation of Electric Power Systems Vol. 42, Issue 4, Pages: 30-38(2018)
- 作者机构：
  
  燕山大学电气工程学院,河北省,秦皇岛市,066004
- 作者简介：
- 基金信息：
- DOI：
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- Published：2018
- 稿件说明：
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CUI Mingyong. [J]. Automation of electric power systems, 2018, 42(4): 30-38.
DOI：

CUI Mingyong. [J]. Automation of electric power systems, 2018, 42(4): 30-38. DOI：

摘要

针对能源互联网的重要组成部分——综合能源微网，构建了独立模式下的综合能源微网多能存储系统优化配置模型，提出了包含储电和储热系统的额定功率、容量的配置方法。其中，储电系统模型计及供暖期与非供暖期蓄电池寿命的估算。模型以经济性作为指标，考虑热电联产机组的热电耦合相关约束，包括热-电平衡、机组爬坡、储能系统以及自给自足概率等，采用基于机组出力和储能系统功率分配策略的细菌群体趋药性算法模型进行求解。并探讨了加装储能系统的热电联产机组的运行特性。结果表明，提出的多能存储系统配置方法在供暖期和非供暖期均具有显著经济和环境效益，并促进了风电消纳。

Abstract

In view of integrated energy microgrid as the important component of Energy Internet

this paper develops an optimal configuration model of a multi-energy storage system in a standalone integrated energy microgrid. The configuration methods of rated power and capacity of the electricity storage system and the heat storage system are proposed. In the electricity storage system model

the estimation of battery life during the heating and non-heating periods is taken into account. The goal of the proposed model is to obtain the best economic benefit. The thermoelectric coupling constraints of combined heat and power(CHP)units is considered

including heat and electric power balance constraint

ramp rate constraint of units

energy storage system constraints and the probability of self-sufficiency

etc. The model is solved by the bacterial colony chemotaxis(BCC)algorithm based on the unit output and the power allocation strategy of the energy storage system. The operation characteristics of the CHP units containing energy storage systems are also discussed. Finally

the results show that the proposed configuration method of multi-energy storage system has significant economic and environmental benefits during the heating and non-heating periods and promotes the wind power consumption.

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