基于遗传算法的风光最优互补运行策略研究
Study on Optimal Complementary Operation Strategy of Wind and PV Generations Based on Genetic Algorithm
李家锋 1李秋鹏 1王元强 1梁俊坚 1刘泽健 2范紫微2
作者信息
- 1. 广东省风力发电有限公司,广东 广州 510000
- 2. 深圳华工能源技术有限公司,广东 深圳 518000
- 折叠
摘要
为了充分考虑风光功率在不同时间空间尺度的各类特性,发挥风光发电的互补特性及其协同效应,提高风光系统的发电效率和经济效益,提出一种基于遗传算法的风光最优互补运行策略,该方法构建以功率平衡、运行成本最小为目标函数,以风光发电运行条件和风光发电最大功率变化量为约束条件的多目标优化模型,并采用带精英策略的非支配排序遗传算法对模型进行优化求解.
Abstract
In order to fully consider the various characteristics of wind and PV power at different time and spatial scales,leverage the complementary characteristics and synergistic effects of wind and PV power generation,and improve the power generation efficiency and economic benefits,this paper proposes a genetic algorithm based optimal complementary operation strategy for wind and PV power.This method constructs with,a multi-objective optimization model with power balance and minimum operating cost as objectives,and with operating conditions and maximum power variation of wind and PV as constraints.A non-dominated sorting genetic algorithm with elite strategy is used to optimize and solve the model.
关键词
风光新能源/互补特性/遗传算法/最优互补运行Key words
wind and PV power generations/complementary characteristic/genetic algorithm/optimal complementary operation引用本文复制引用
基金项目
广东能源集团科技创新"揭榜挂帅"项目(2022)()
出版年
2024
NETL
NSTL
万方数据