计及动态不确定集与蓄电池损耗的微电网鲁棒优化调度

许孝卓; 周晓舟; 艾立旺; 蒋思远

doi:doi:10.19912/j.0254-0096.tynxb.2024-2242

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计及动态不确定集与蓄电池损耗的微电网鲁棒优化调度

更新时间：2026-07-22

- 计及动态不确定集与蓄电池损耗的微电网鲁棒优化调度
- Vol. 47, Issue 4, Pages: 179-189(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-2242
  CLC： TM73
- Online First：08 May 2026，
  
  Published：2026
- 稿件说明：
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许孝卓, 周晓舟, 艾立旺, et al. 计及动态不确定集与蓄电池损耗的微电网鲁棒优化调度[J]. 2026, 47(4): 179-189.
DOI：

许孝卓, 周晓舟, 艾立旺, et al. 计及动态不确定集与蓄电池损耗的微电网鲁棒优化调度[J]. 2026, 47(4): 179-189. DOI： doi:10.19912/j.0254-0096.tynxb.2024-2242.

摘要

针对微电网内可再生能源和负荷的不确定性

提出一种基于动态不确定集和电池损耗模型的两阶段鲁棒优化模型。通过引入对时间依赖的不确定集修正

动态调整风电、光伏和负荷的波动、预测范围

以提高调度计划的灵活性。同时

考虑电池储能系统在充放电过程中的损耗成本

建立基于充放电深度与功率损耗的电池损耗模型

优化储能系统的使用策略。模型采用C&CG算法求解

通过仿真验证方法在经济性和鲁棒性方面的有效性。结果表明

所提模型兼顾了经济性和稳定性

能够在保持低成本运行的基础上有效管理光伏、风电等新能源出力波动及负荷用电变化带来的挑战。

Abstract

This paper proposes a two-stage robust optimization model based on dynamic uncertainty sets and battery degradation model to address the uncertainties of renewable energy resources and loads in microgrids. By introducing time-dependent uncertainty set adjustments

the model dynamically regulates the fluctuation and prediction ranges of wind power

photovoltaic generation

and loads

enhancing scheduling flexibility. Additionally

the model incorporates battery degradation costs during charging and discharging cycles

establishing a degradation model based on depth of discharge and power losses to optimize storage system utilization strategies. The model is solved using a constraint and column generation algorithm

with simulation results validating its effectiveness in terms of economic efficiency and robustness. Results demonstrate that the proposed approach successfully balances cost-effectiveness and operational stability

effectively managing challenges from renewable energy output fluctuations and load variations while maintaining economical operation.

关键词

Keywords

references

WANG C, LI X H, TIAN T, et al.Coordinated control of passive transition from grid-connected to islanded operation for three/single-phase hybrid multimicrogrids considering speed and smoothness[J]. IEEE transactions on industrial electronics, 2020, 67(3): 1921-1931.

MERABET A, TAWFIQUE AHMED K, IBRAHIM H, et al.Energy management and control system for laboratory scale microgrid based wind-PV-battery[J]. IEEE transactions on sustainable energy, 2017, 8(1): 145-154.

包文俊, 葛敏, 袁毅, 等. 计及需求响应的风光储独立微电网技术经济优化[J]. 太阳能学报, 2024, 45(5): 343-350.

XU H L, MENG Z Y, WANG Y S.Economic dispatching of microgrid considering renewable energy uncertainty and demand side response[J]. Energy reports, 2020, 6: 196-204.

WANG L H, LI Q Q, DING R, et al.Integrated scheduling of energy supply and demand in microgrids under uncertainty: a robust multi-objective optimization approach[J]. Energy, 2017, 130: 1-14.

李鹏, 李林媛, 王加浩, 等. 考虑风电不确定性和储能灵活性的有源配电网有功无功协同鲁棒优化[J]. 太阳能学报, 2024, 45(7): 303-311.

刘一欣, 郭力, 王成山. 微电网两阶段鲁棒优化经济调度方法[J]. 中国电机工程学报, 2018, 38(14): 4013-4022, 4307.

马跃, 孟润泉, 魏斌, 等. 考虑阶梯式碳交易机制的微电网两阶段鲁棒优化调度[J]. 电力系统保护与控制, 2023, 51(10): 22-33.

CHEN L M, TANG H L, WU J K, et al.A robust optimization framework for energy management of CCHP users with integrated demand response in electricity market[J]. International journal of electrical power & energy systems, 2022, 141: 108181.

CHENG Z P, JIA D Q, LI Z W, et al.Multi-time scale dynamic robust optimal scheduling of CCHP microgrid based on rolling optimization[J]. International journal of electrical power & energy systems, 2022, 139: 107957.

杜刚, 赵冬梅, 刘鑫. 计及风电不确定性优化调度研究综述[J]. 中国电机工程学报, 2023, 43(7): 2608-2627.

孙东磊, 王宪, 孙毅, 等. 基于多面体不确定集合的电力系统灵活性量化评估方法[J]. 中国电力, 2024, 57(9): 146-155.

任建文, 许英强. 考虑风电不确定性的互联电力系统分散协调调度模型[J]. 电力系统自动化, 2018, 42(16): 41-47, 160.

童潇宁, 王月强, 仇张权, 等. 基于数据驱动多面体集合的交直流混合配电网鲁棒调度方法[J]. 电力系统保护与控制, 2024, 52(3): 38-50.

刘剑, 丁天祥, 杜涛, 等. 计及储能电池寿命的工业园区经济调度模型[J]. 电网与清洁能源, 2024, 40(5): 105-112.

韩晓娟, 程成, 籍天明, 等. 计及电池使用寿命的混合储能系统容量优化模型[J]. 中国电机工程学报, 2013, 33(34): 91-97, 16.

王荔妍, 陈启鑫, 何冠楠, 等. 考虑电池储能寿命模型的发电计划优化[J]. 电力系统自动化, 2019, 43(8): 93-100.

李逢兵, 谢开贵, 张雪松, 等. 基于寿命量化的混合储能系统协调控制参数优化[J]. 电力系统自动化, 2014, 38(1): 1-5.

程苒, 段瑶, 吴亚雄, 等. 考虑等效循环放电深度约束的配电网储能规划[J]. 南方电网技术, 2024, 18(10): 54-63.

郭明萱, 穆云飞, 肖迁, 等. 考虑电池寿命损耗的园区综合能源电/热混合储能优化配置[J]. 电力系统自动化, 2021, 45(13): 66-75.

肖浩,裴玮,杨艳红,等. 计及电池寿命和经济运行的微电网储能容量优化[J]. 高电压技术,2015,41(10): 3256-3265.

孙振新, 刘汉强, 赵喆, 等. 储能经济性研究[J]. 中国电机工程学报, 2013, 33(S1): 54-58.

ZENG B, ZHAO L.Solving two-stage robust optimization problems using a column-and-constraint generation method[J]. Operations research letters, 2013, 41(5): 457-461.

余建武, 包诗媛, 李山, 等. 考虑自建共享储能电站的冷热电区域多微网系统鲁棒优化[J]. 太阳能学报, 2025, 46(1): 503-513.

刘洪波, 盖雪扬, 孙黎, 等. 计及数据降维和数据清洗的超短期风电功率预测[J]. 东北电力大学学报, 2023, 43(4): 1-9.

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