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计及需求响应的高比例清洁能源园区储能容量优化配置 被引量:4

Optimal Allocation of Energy Storage Capacity in High Proportion Clean Energy Parks Considering Demand Response
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摘要 为了提高园区清洁能源消纳水平、储能配置经济性,提出一种考虑需求响应的高比例清洁能源园区储能容量优化配置方法。首先,建立光伏、风机、储能功率模型;其次,设计了考虑刚性、可转移、可中断负荷参与的需求响应机制,实现一定时间尺度下负荷的转移;然后,以系统总净现成本最低为优化目标,考虑入网功率波动、充放电限值等约束条件,建立储能经济配置模型。算例验证了所提方法的有效性,相比传统方法,所提配置方法可以有效降低系统经济成本并提高清洁能源消纳水平。 In order to improve the level of clean energy consumption and the economy of energy storage allocation in parks,an optimal allocation method for energy storage capacity of high-proportion clean energy parks considering demand response is proposed.Firstly,the photovoltaic,wind turbine,and energy storage power models are established.Secondly,a demand response mechanism considering the participation of rigid,transferable and interruptible loads is designed to realize the transfer of loads under a certain time scale.Then,taking the lowest total net present cost of the system as the optimization goal,an energy storage economic allocation model is established with consideration of the constraints such as grid-connected power fluctuations and charge&discharge limits.Case study verifies the effectiveness of the proposed method,and the results show that compared to the traditional method,the proposed allocation method can effectively reduce the economic cost of the system and improve the level of clean energy consumption.This work is supported by the National Key Research and Development Program of China(Multi-energy System Coordination and Carbon Management in Low-carbon Park,No.2022YFE0205300).
作者 蒋棹骏 向月 谈竹奎 郭咏涛 王扬 周科 JIANG Zhaojun;XIANG Yue;TAN Zhukui;GUO Yongtao;WANG Yang;ZHOU Ke(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Electric Power Research Institute of Guizhou Power Grid Co.,Ltd.,Guiyang 550002,China)
出处 《中国电力》 CSCD 北大核心 2023年第12期147-155,163,共10页 Electric Power
基金 国家重点研发计划资助项目(基于光储直柔的低碳园区多能协同与碳管控技术研究与应用,2022YFE0205300)。
关键词 储能容量配置 负荷灵活调节能力 入网功率变化约束 清洁能源消纳水平 需求响应 energy storage capacity configuration flexible load adjustment capacity grid-connected power change constraints clean energy consumption level demand response
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