Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation

Yan Xu; Tianyang Zhao; Shuqiang Zhao; Jianhua Zhang; Yang Wang

doi:10.17775/CSEEJPES.2016.01050

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation

更新时间：2025-12-18

- Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation
- CSEE Journal of Power and Energy Systems Vol. 4, Issue 3, Pages: 316-325(2018)
- 作者机构：
  
  1. North China Electric Power University,, Beijing, CN,Beijing
  2. Nanyang Technological University,, Singapore,SG,Singapore
  3. State Grid Corporation of China,, Beijing, CN,Beijing
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2016.01050
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
Yan Xu, Tianyang Zhao, Shuqiang Zhao, et al. Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation[J]. CSEE Journal of Power and Energy Systems, 2018, 4(3): 316-325.
DOI：

Yan Xu, Tianyang Zhao, Shuqiang Zhao, et al. Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation[J]. CSEE Journal of Power and Energy Systems, 2018, 4(3): 316-325. DOI： 10.17775/CSEEJPES.2016.01050.

摘要

Abstract

As battery technology matures

the battery energy storage system (BESS) becomes a promising candidate for addressing renewable energy uncertainties. BESS degradation is one of key factors in BESS operations

which is usually considered in the planning stage. However

BESS degradations are directly affected by the depth of discharge (DoD)

which is closely related to the BESS daily schedule. Specifically

the BESS life losses may be different when providing the same amount of energy under a distinct DoD. Therefore

it is necessary to develop a model to consider the effect of daily discharge on BESS degradation. In this paper

a model quantifying the nonlinear impact of DoD on BESS life loss is proposed. By adopting the chance-constrained goal programming

the degradation in day-ahead unit commitment is formulated as a multi-objective optimization problem. To facilitate an efficient solution

the model is converted into a mixed integer linear programming problem. The effectiveness of the proposed method is verified in a modified IEEE 39-bus system.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Modeling and Planning of Multi-Timescale Flexible Resources in Power Systems

Learning to Optimize Joint Chance-Constrained Power Dispatch Problems

Credibility Copula-Based Robust Multistage Plan for Industrial Parks Under Exogenous and Endogenous Uncertainties

Coordinated Planning of Interconnected Multi-Regional Power Systems Considering Large-Scale Energy Storage Systems, Transmission Expansion, and Carbon Emission Quota Trading

Restoration of High-Renewable-Penetrated Distribution Systems Considering Uncertain Repair Workloads

Related Author

Hai Li

Ning Zhang

Weihan Bao

Yue Fan

Ling Dong

Pengcheng Cai

Meiyi Li

Javad Mohammadi

Related Institution

Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University

Tsinghua Sichuan Energy Internet Research Institute

State Grid Qinghai Electric Power Co., Ltd.

State Grid Xinjiang Electric Power Co., Ltd.

Department of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin

AI问答

⁰