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

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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
- Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation
- 中国电机工程学会电力与能源系统学报(英文) 2018年4卷第3期页码：316-325
- 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
  中图分类号：
- 纸质出版：2018
- 稿件说明：
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Yan Xu, Tianyang Zhao, Shuqiang Zhao, 等. Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation[J]. 中国电机工程学会电力与能源系统学报(英文), 2018,4(3):316-325.

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.
Yan Xu, Tianyang Zhao, Shuqiang Zhao, 等. Multi-objective chance-constrained optimal day-ahead scheduling considering BESS degradation[J]. 中国电机工程学会电力与能源系统学报(英文), 2018,4(3):316-325. DOI： 10.17775/CSEEJPES.2016.01050.

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.

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