Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ

李 雪; 周 航; 路晓敏; 张景晨; 陶以彬; 胡安平

doi:10.3969/j.issn.1009-1831.2022.05.016

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Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ

更新时间：2026-03-05

- Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ
- Vol. 24, Issue 5, (2022)
- 作者机构：
  
  1. 国网江苏省电力有限公司南京供电分公司,南京,210019
  2. 中国电力科学研究院有限公司,南京,210003
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2022.05.016
  CLC：
- Published：2022
- 稿件说明：
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李雪, 周航, 路晓敏, et al. Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ[J]. 2022, 24(5).
DOI：

李雪, 周航, 路晓敏, et al. Operation optimization of multi-station integration system based on improved non-dominated sorting genetic algorithm-Ⅱ[J]. 2022, 24(5). DOI： 10.3969/j.issn.1009-1831.2022.05.016.

摘要

为优化多站融合系统的运行，以提高系统运行经济性、环保性、消纳率为优化目标，对多站融合系统进行研究分析。构建包含光伏电站、风机、储能电站以及多种负荷的多站融合系统优化模型并建立约束条件。改进了NSGA-Ⅱ算法，在传统NSGA-Ⅱ算法的基础上引入量子搜索以进一步提高搜索能力，在算法中利用蒙特卡洛模拟生成随机参数，从而求解包含多重不确定性的运行优化问题。以某地多站融合数据为例进行仿真分析，并与传统的粒子群算法以及未改进的NSGA-Ⅱ算法进行对比，算例验证所提方法能够提升多站融合系统的运营效益。

Abstract

In order to effectively improve the economy of multi-station integration construction

based on ensuring the power supply reliability and new energy consumption of the system

a multi-station integration capacity optimal allocation model with levelized energy cost as the optimization objective is established

and a multi-station integration capacity optimal allocation method considering multiple uncertainties to solve the stochastic optimization model is proposed. The simulation results of multi-station fusion data show the effectiveness of the proposed method and model.

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