基于联合备用容量的新型多区域电力系统经济调度

尹艳玲; 任旭阳; 卜旭辉; 李轩

doi:10.19912/j.0254-0096.tynxb.2024-2369

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基于联合备用容量的新型多区域电力系统经济调度

更新时间：2026-07-21

- 基于联合备用容量的新型多区域电力系统经济调度
- Vol. 47, Issue 5, Pages: 91-97(2026)
- 作者机构：
- 作者简介：
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- DOI：10.19912/j.0254-0096.tynxb.2024-2369
  CLC： TM73
- Online First：04 June 2026，
  
  Published：2026
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尹艳玲, 任旭阳, 卜旭辉, et al. 基于联合备用容量的新型多区域电力系统经济调度[J]. 2026, 47(5): 91-97.
DOI：

尹艳玲, 任旭阳, 卜旭辉, et al. 基于联合备用容量的新型多区域电力系统经济调度[J]. 2026, 47(5): 91-97. DOI： 10.19912/j.0254-0096.tynxb.2024-2369.

摘要

在资源条件固定的情况下

为进一步提高新型多区域电力系统的灵活调度能力

提出一种基于联合备用容量的新型多区域电力系统经济调度模型。首先

通过综合考虑多区域新能源消纳

提出多区域联合备用容量计算理论。其次

基于多区域联合备用容量

构建针对高比例新能源引入的多区域互联电力系统经济调度模型

并使用基于排序分组的自适应多策略差分进化算法求解该调度模型

同时针对模型中的约束条件

提出一种修补策略与罚函数方法相结合的约束处理方法。最后

将所提出方法与传统个体备用容量分别在三区域和四区域电力系统中进行比较

证明基于联合备用容量的新型多区域电力系统经济调度模型的有效性。

Abstract

To further improve the flexible scheduling capability of the new multi-area power system under unchanged resource conditions

a novel multi-area power system economic dispatch model based on joint reserve capacity is proposed. Firstly

by comprehensively considering the multi-area renewable energy consumption

the multi-area joint reserve capacity calculation theory is proposed. Second

based on the multi-area joint reserve capacity

a multi-area interconnected power system economic dispatch model is constructed for the introduction of a high proportion of renewable energy

and the dispatch model is solved using sorted grouping-based adaptive multi-strategy differential evolution algorithm. Meanwhile

for the constraints in the model

a constraint handling method combining the repair strategy and the penalty function method is proposed. Finally

the proposed method is compared with the traditional method in three-area and four-area power systems

respectively

to verify the effectiveness of the new multi-area power system economic dispatch model based on joint reserve capacity.

关键词

Keywords

references

范文轩, 袁至, 李骥. 考虑风-光-储协同的电池储能系统综合评价体系和选型方案研究[J]. 太阳能学报, 2024, 45(9): 158-169.

LI Y Z, LONG X X, LI Y, et al.A demand-supply cooperative responding strategy in power system with high renewable energy penetration[J]. IEEE transactions on control systems technology, 2024, 32(3): 874-890.

马小峻, 李凤婷, 陶仁峰, 等. 考虑旋转备用服务的微网电源优化配置[J]. 电网技术, 2019, 43(12): 4568-4574.

张容畅, 韩丽, 刘文涛, 等. 基于改进径向移动算法的含风电场电力系统优化调度[J]. 太阳能学报, 2020, 41(1): 225-235.

艾欣, 王昊洋, 潘玺安, 等. 考虑需求侧灵活性资源配置的配电网分布鲁棒优化规划方法研究[J]. 太阳能学报, 2024, 45(7): 267-277.

LI Y, WANG R, YANG Z.Optimal scheduling of isolated microgrids using automated reinforcement learning-based multi-period forecasting[J]. IEEE transactions on sustainable energy, 2022, 13(1): 159-169.

李志伟, 赵书强, 李东旭, 等. 基于改进ε-约束与采样确定性转化的电力系统日前调度机会约束模型快速求解技术[J]. 中国电机工程学报, 2018, 38(16): 4679-4691.

CHEN X, LU Q, YUAN Y, et al.A novel derivative search political optimization algorithm for multi-area economic dispatch incorporating renewable energy[J]. Energy, 2024, 300: 131510.

ZHENG X D, CHEN H Y, XU Y, et al.A hierarchical method for robust SCUC of multi-area power systems with novel uncertainty sets[J]. IEEE transactions on power systems, 2020, 35(2): 1364-1375.

李运龙, 李志刚, 郑杰辉. 考虑风电不确定性和相关性的多区域电网分布鲁棒经济调度[J]. 电力自动化设备, 2021, 41(8): 97-104.

QI F, SHAHIDEHPOUR M, LI Z, et al.A chance-constrained decentralized operation of multi-area integrated electricity-natural gas systems with variable wind and solar energy[J]. IEEE transactions on sustainable energy, 2020, 11(4): 2230-2240.

AZIZIVAHED A, RAZAVI S, AREFI A, et al.Risk-oriented multi-area economic dispatch solution with high penetration of wind power generation and compressed air energy storage system[J]. IEEE transactions on sustainable energy, 2020, 11: 1569-1578.

LI J, LIN L, XU Y, et al.Probability efficient point method to solve joint chance-constrained unit commitment for multi-area power systems with renewable energy[J]. IEEE transactions on power systems, 2023, 38(3): 2120-2133.

LU R, DING T, QIN B, et al.Multi-stage stochastic programming to joint economic dispatch for energy and reserve with uncertain renewable energy[J]. IEEE transactions on sustainable energy, 2020, 11(3): 1140-1151.

BU X H, REN X Y, YIN Y L, et al.A novel economic dispatch of energy-renewable multi-area power systems with group-based differential evolution[J]. Energy, 2024, 313: 134009.

DONG Y C, ZHANG H L, WANG C, et al.An adaptive state transition algorithm with local enhancement for global optimization[J]. Applied soft computing, 2022, 121: 108733.

BASU M.Quasi-oppositional group search optimization for multi-area dynamic economic dispatch[J]. International journal of electrical power & energy systems, 2016, 78: 356-367.

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