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基于改进遗传算法的电力调度辅助决策模型

肖辅盛 吴俊杰

兵工自动化2024,Vol.43Issue(12):74-79,6.
兵工自动化2024,Vol.43Issue(12):74-79,6.DOI:10.7690/bgzdh.2024.12.016

基于改进遗传算法的电力调度辅助决策模型

An Auxiliary Decision Model for Power Dispatching Based on Improved Genetic Algorithm

肖辅盛 1吴俊杰1

作者信息

  • 1. 贵州电网有限责任公司贵阳供电局,贵阳 550000
  • 折叠

摘要

Abstract

In order to solve the problem that the existing dispatching method of hybrid distribution network does not consider the fluctuation of carbon price and the uncertainty of wind power at the same time,a power dispatching assistant decision-making model based on improved genetic algorithm is proposed.Considering the influence of wind power uncertainty and power generation carbon emission on power balance in a wind power integration system,establishing a power dispatching cost and carbon emission objective function and power output constraint,power balance constraint and generating set ramp rate constraint function;The proposed power dispatching model is analyzed and verified with IEEE 33-bus test feeder system.The results show that when the carbon price changes from low to high,the total carbon emissions decrease by 0.029%and 0.197%,respectively,and the total power generation cost increases by 0.003%and 0.055%,respectively.The model provides a reference for the development of power dispatching assistant decision.

关键词

电力系统/电力调度/遗传算法/优化/目标函数

Key words

power system/power dispatching/genetic algorithm/optimization/objective function

分类

信息技术与安全科学

引用本文复制引用

肖辅盛,吴俊杰..基于改进遗传算法的电力调度辅助决策模型[J].兵工自动化,2024,43(12):74-79,6.

基金项目

贵州电网有限责任公司贵阳供电局科技项目(060100KK52200010) (060100KK52200010)

兵工自动化

OA北大核心CSTPCD

1006-1576

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