2025年4月5日 周六
首页 > 过刊浏览>2024年第卷第1期 >74-83. DOI:10.19781/j.issn.1673-9140.2024.01.007
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计及渗透率约束的风光火储系统容量优化及规律研究
CSTR:
[cstr]
作者:
作者单位:

(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)

通讯作者:

张 尧（1999—），男，硕士研究生，主要从事新能源建模技术与应用研究；E?mail:zy1696159783@163.com

中图分类号:

TM715

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)


Study on capacity optimization and law of wind‑solar‑thermal‑storage system with permeability constraint
Author:
Affiliation:

(1.School of Electrical and Control Engineering, Heilongjiang University of Science and Technology, Harbin 150022，China;2.School of Electrical and Electronic Engineering，Harbin University of Science and Technology, Harbin 150080, China)

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    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.

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朱显辉,张 尧,师 楠,等.计及渗透率约束的风光火储系统容量优化及规律研究[J].电力科学与技术学报,2024,(1):74-83.
ZHU Xianhui, ZHANG Yao, SHI Nan, et al. Study on capacity optimization and law of wind‑solar‑thermal‑storage system with permeability constraint[J]. Journal of Electric Power Science and Technology,2024,(1):74-83.

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