The multi-objective capacity optimization of wind-photovoltaic-thermal energy storage hybrid power system with electric heater

被引：105

作者：

Guo, Su ^{[1
]}

He, Yi ^{[1
]}

Pei, Huanjin ^{[1
]}

Wu, Shuyan ^{[1
]}

机构：

[1] Hohai Univ, Nanjing 210098, Jiangsu, Peoples R China

来源：

SOLAR ENERGY | 2020年 / 195卷

基金：

中国国家自然科学基金;

关键词：

Wind-photovoltaic system; Thermal energy storage; Electric heater; Probability of exceeding; Transmission channels; Multi-objective capacity optimization; SOLAR POWER; DYNAMIC-ANALYSIS; BATTERY SYSTEM; OPTIMAL-DESIGN; PV; METHODOLOGY; ASSESSMENTS; ISLAND; MODEL;

D O I：

10.1016/j.solener.2019.11.063

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

080707 [能源环境工程]; 082001 [油气井工程];

摘要：

This paper proposes a wind-photovoltaic-thermal energy storage hybrid power system with an electric heater, which adopts the idea of concentrated solar power plant but omits the expensive solar field, and utilizes the reformed power block from conventional small-scale thermal power plant. From the perspective of thermal power plant reconstruction, the hybrid system aims to minimize the levelized cost of energy and maximize the utilization rate of transmission channels. The capacity optimization is solved by multi-objective particle swarm optimization algorithm. Final optimal capacity is obtained by the Pareto front and decision-making method. Moreover, the probability of exceeding is introduced to correct the theoretical power output calculated by mathematical models and improve the practicality of simulation. Finally, by comparing wind-photovoltaic-thermal energy storage system, wind-photovoltaic-battery system and wind-photovoltaic system, it can be concluded that the proposed system effectively increases the utilization rate of transmission channels and presents a better reliability and economy performance.

引用

页码：138 / 149

页数：12

共 47 条

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