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低碳综合能源系统需求响应试验平台设计

Design of Experimental Platform for Demand Response of Low Carbon Comprehensive Energy System
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摘要 随着新能源高渗透接入电网,新能源间歇性、随机性和波动性的特征,加剧了源荷的不平衡,降低了电网的可靠性。基于此,研发一套低碳综合能源系统需求响应试验平台,通过用户侧需求响应调整用电时段,缓解电网的功率波动。论文首先研究了低碳综合能源系统构建,接着分析了三种需求响应方案,进而设计了基于标准化页面的低碳综合能源系统需求响应实践平台,详细介绍了资源配置、执行启动、响应评价与数据分析等核心操作模块,该平台充分发掘新型电力系统负荷侧灵活性资源,可作电气教学和员工培训实验平台,支撑新型电力系统安全稳定运行。 With the high penetration of new energy into the power grid,the intermittency,randomness,and volatility of new energy have intensified the imbalance between source and load,reducing the reliability of the power grid.Based on this,develop a low-carbon comprehensive energy system demand response test platform,adjust the electricity consumption period through user side demand response,and alleviate power fluctuations in the power grid.The paper first studied the construction of a lowcarbon comprehensive energy system,then analyzed three demand response schemes,and designed a lowcarbon comprehensive energy system demand response practice platform based on standardized pages.Such as resource allocation,execution startup,response evaluation,and data analysis,the core operation modules were introduced in detail.The platform fully explores the load side flexibility resources of the new power system and can serve as an electrical teaching and employee training experimental platform to support the safe and stable operation of the new power system.
作者 王玕 王丽晓 曹江华 沈娜 冯瑞珏 马星 WANG Gan;WANG Li-xiao;CAO Jiang-hua;SHEN Na;FENG Rui-jue;MA Xing(School of Electrical Engineering,Guangzhou City University of Technology,Guangzhou,510800;School of Electric Power Engineering,South China University of Technology,Guangzhou,510641;Beitun Electric Power Engineering Installation Co.,Ltd.,Beitun 836000)
出处 《环境技术》 2024年第6期6-10,共5页 Environmental Technology
基金 广东省高等教育教学改革项目“面向电力“紫领”人才培养的电气工程专业基础课程教学改革研究与实践”,项目编号:JY230209 广州城市理工学院“电气工程及其自动化”省级一流专业建设项目,项目编号:JY214501 “电工教研室”课程教研室建设项目,项目编号:JY2301107 广州城市理工青年科研基金项,项目编号:55-K0222001。
关键词 需求响应 优化调度 试验平台 稳定性 demand response optimize scheduling experimental platform stability
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