Capacity Optimization of Battery Energy Storage System in Multi-energy Complementary System Based on Time Series Simulation Method

Yuehui Huang, Pai Li, Weisheng Wang, Ling Dong
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引用次数: 5

Abstract

Constructing multi-energy complementary system is a promising way to promote the utilization of renewable energy. This paper proposes a novel method based on time series simulation technology to optimize capacity of battery energy storage system in the multi-energy complementary system with wind power, photovoltaic and concentrating solar power. An optimization model is established to maximize the equivalent uniform annual profit of the system with considering operation constraints of power plants and renewable energy curtailment rate. To make full use of complementary characteristics of the renewable energy, the power rating and battery storage capacity are then optimized coordinately based on hourly wind and solar power outputs in a year. Case studies are conducted on a multi-energy complementary system of China with wind power, photovoltaic, concentrating solar power and battery. Optimization results indicate that the proposed method can fully utilize the complementary characteristics and provide the optimal battery capacities. Sensitivity analyses also show that the proposed method can obtain the threshold of generation price for the project. Overall, the testing results verify the effectiveness and applicability of the proposed method.
基于时间序列仿真的多能互补系统电池储能系统容量优化
构建多能源互补系统是促进可再生能源利用的有效途径。本文提出了一种基于时间序列仿真技术的风电、光伏、聚光太阳能多能互补系统中电池储能系统容量优化的新方法。在考虑电厂运行约束和可再生能源弃风率的情况下,建立了以系统等效均匀年利润最大化为目标的优化模型。为了充分利用可再生能源的互补特性,根据风能和太阳能在一年内每小时的发电量,协调优化额定功率和电池存储容量。本文以中国风电、光伏、聚光太阳能和电池的多能互补系统为例进行了研究。优化结果表明,该方法可以充分利用互补特性,提供最优的电池容量。灵敏度分析也表明,该方法能较好地求得项目的发电电价阈值。总体而言,测试结果验证了该方法的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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