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计及不确定性的高比例清洁能源在微电网中的消纳 被引量:12

A High Proportion of Clean Energy Consumption in the Microgrid Taking into Account Uncertainty
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摘要 近几十年来可再生能源在电网的渗透率逐年提高,其不出力确定性使电网运行更加复杂。因此,为了提高再生能源(renewable energy,RE)接入的可靠性,需要电力系统具有高度灵活性。随着储能系统(energy storage systems,ESS)接入和需求响应(demand response,DR)研究的深入,大大提高了微电网的灵活性。研究了在计及可再生能源不确定性的情况下,通过考虑有效的负载不确定性和可再生电源的间歇性,分析了微电网对高比例可再生能源消纳的潜力。建立计及备用需求的多场景的随机优化模型来分析系统运行中的不确定性。设置4个具有不同可再生能源渗透率的场景,仿真验证了所提模型的有效性。结果表明ESS和DR的协调运行能够提高微电网在可再生能源资源高渗透率时的运行可靠性,同时不会增加预期的运行成本或可再生能源的弃风弃光水平。 The penetration of renewable energy sources in the grid has been increasing year by year in recent decades,and their uncertainty of power failure complicates grid operation. Therefore,in order to improve the reliability of renewable energy(RE)access,a high degree of flexibility in the power system is required. With the advanced research on energy storage systems(ESS)access and demand response(DR),the flexibility of microgrid is greatly improved. Taking the uncertainty of renewable energy into account,the potential of microgrids to consume a high percentage of renewable energy by considering the effective load uncertainty and the intermittency of renewable power sources was analyzed. A stochastic optimization model with multiple scenarios accounting for standby demand was developed to analyze the uncertainty in system operation. Four scenarios with different renewable energy penetration rates were set up and simulations were performed to verify the effectiveness of the proposed model. The results show that the coordinated operation of ESS and DR can improve the operational reliability of the microgrid at high penetration of renewable energy resources without increasing the expected operating costs or the level of wind and light abandonment from renewable energy sources.
作者 李晓鹏 蔡文斌 吕海霞 LI Xiaopeng;CAI Wenbin;LÜHaixia(Inner Mongolia Electric Power Economic Technology Research Institute,Hohhot 010090,Nei Monggol,China)
出处 《电气传动》 2022年第3期45-50,共6页 Electric Drive
基金 内蒙古电力(集团)有限责任公司科技项目(2019-86)。
关键词 微电网 储能系统 需求响应 可再生能源 不确定性 microgrid energy storage systems(ESS) demand response(DR) renewable energy(RE) uncertainty
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