考虑电池储能寿命模型的发电计划优化

WANG Liyan

您当前的位置：

首页 >

文章列表页 >

考虑电池储能寿命模型的发电计划优化

更新时间：2025-08-13

- 考虑电池储能寿命模型的发电计划优化
- Automation of Electric Power Systems Vol. 43, Issue 8, Pages: 93-100(2019)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2019
- 稿件说明：
移动端阅览
WANG Liyan. [J]. Automation of electric power systems, 2019, 43(8): 93-100.
DOI：

WANG Liyan. [J]. Automation of electric power systems, 2019, 43(8): 93-100. DOI：

摘要

电池储能的寿命将受到其运行方式的影响。对规模化电池储能接入电力系统的发电计划优化问题进行了研究，重点考虑了电池储能的寿命模型及其在不同运行方式下的折损与经济性。文中依据电池寿命的影响机理和半经验模型，针对全系统优化的简化建模的要求，归纳出了基于交换功率和基于放电深度两类电池寿命模型，其中基于放电深度的模型可进一步区分为考虑日循环次数和等效循环次数两种计算方式。接着，将电池寿命模型分别内嵌到电力系统的机组组合问题中进行一体化的优化求解，构建了一个混合整数线性规划的数学模型。最后，通过算例分析比较了不同模型的适用性与建模效果。

Abstract

The service life of battery storage is influenced by its short-term operation. With special concern about battery degradation and economic values in different operation manners

optimal generation scheduling of power system with large-scale battery storage is studied considering battery life model. Based on battery degradation mechanism and the semi-empirical model and requirement of simplified modelling on system optimization

two types of battery life models based on power exchange and depth of discharge(DOD)are built

respectively. The DOD-based model can be further simplified by the number of cycles per day or the equivalent full cycle in a day. Battery life models are integrated into the unit commitment problem of the power system

then a mixed integer linear programming model is constructed to solve the optimization. Finally

the feasibility and modelling effect of different models are compared by case studies.

关键词

Keywords

references

Views

4079

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-level Scheduling Cooperative Mode Based on Projection from Global to Local Operating Space

Review on Optimization Methods for New Power System Dispatch Based on Deep Reinforcement Learning

Risk-Quantified Probabilistic Dispatch for Power System with High Proportion of Renewable Energy

Multiplexing Arm Based Modular Multilevel Converter with Energy Storage

Related Author

ZHANG Huaiyu

XIA Qing

ZHANG Bingjin

TAN Zhenfei

DONG Cheng

SUN Yujun

LAI Xiaowen

ZANG Zhendong

Related Institution

East China Branch of State Grid Corporation of China

Beijing Tsintergy Technology Co., Ltd.

Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University)

NARI Group Corporation(State Grid Electric Power Research Institute)

East China Branch of State Grid Corporation of China

⁰