电力科学与技术学报2024,Vol.39Issue(1) :74-83.DOI:10.19781/j.issn.1673-9140.2024.01.007

计及渗透率约束的风光火储系统容量优化及规律研究

Study on capacity optimization and law of wind-solar-thermal-storage system with permeability constraint

朱显辉 张尧 师楠 药冰倩 崔世炜
电力科学与技术学报2024,Vol.39Issue(1) :74-83.DOI:10.19781/j.issn.1673-9140.2024.01.007

计及渗透率约束的风光火储系统容量优化及规律研究

Study on capacity optimization and law of wind-solar-thermal-storage system with permeability constraint

朱显辉 1张尧 1师楠 2药冰倩 1崔世炜1
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作者信息

  • 1. 黑龙江科技大学电气与控制工程学院,黑龙江 哈尔滨 150022
  • 2. 哈尔滨理工大学电气与电子工程学院,黑龙江 哈尔滨 150080
  • 折叠

摘要

为探索不同风光渗透率对风光火储系统容量配置及系统运行的影响规律,以风光火储联合发电系统为例,构建了考虑渗透率约束与火储联合控制的3层容量优化模型.首先,将黄金搜索优化(golden search optimization,GSO)算法引入容量优化配置求解中,给出不同渗透率约束下系统最佳容量配置,求得系统运行指标数据结果;然后,对所得结果进行最小二乘法曲线拟合,得到系统的经济性、可靠性和稳定性与不同渗透率之间的变化曲线;最后,系统地分析了曲线趋势变化的主要原因,可为风光等可再生能源系统容量优化配置及运行规划提供借鉴.

Abstract

Exploring the influence law of different photovoltaic penetration rates on the capacity allocation and operation of wind-solar-fire storage systems,a three-layer capacity optimization model considering penetration rate constraints and integrated control of thermal storage is constructed,using a wind-solar-thermal-storage combined generation system as an example.Firstly,introducing the golden search optimization(GSO)algorithm into the solution of capacity optimization configuration,the best capacity configuration of the system under different penetration rate constraints is provided,and the resulting data of system operation indicators is obtained.Then,the obtained results are subjected to a least squares curve fitting,yielding curves depicting the variations of system economics,reliability,and stability with different penetration rates.Finally,the main reasons for the trend changes in the curves are systematically analyzed,providing insights for the optimization and planning of capacity allocation and operation planning of renewable energy systems such as wind and solar.

关键词

容量优化/拟合规律/风光火储/渗透率约束/黄金搜索优化

Key words

capacity optimization/fitting law/wind-solar-thermal-storage/permeability constraint/GSO

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基金项目

国家自然科学基金(51677057)

黑龙江省省属高校基本科研业务费项目(2019-KYYWF-0730)

黑龙江普通本科高等学校青年创新人才培养计划(UNPYSCT-2017144)

出版年

2024
电力科学与技术学报
长沙理工大学

电力科学与技术学报

CSTPCDCSCD北大核心
影响因子:0.85
ISSN:1673-9140
被引量1
参考文献量29
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