文章摘要
分时电价背景下综合能源需求响应优化建模
Optimal Modeling of Integrated Energy Demand Response under Time-Shared Electricity Price
投稿时间:2020-03-19  修订日期:2020-05-24
DOI:
中文关键词: #$NL:分时电价  价格型需求响应  多种能源形式  能源集线器  综合能源需求响应
英文关键词: Time-sharing tariff  Price-based demand response  Multiple energy forms  Energy hub  Integrated energy demand response
基金项目:
作者单位邮编
马骏超 国网浙江省电力有限公司电力科学研究院 310014
黄弘扬 国网浙江省电力有限公司电力科学研究院 
楼伯良 国网浙江省电力有限公司电力科学研究院 
陆承宇 国网浙江省电力有限公司电力科学研究院 
杨涛 国网浙江省电力有限公司电力科学研究院 
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中文摘要:
      峰谷分时电价是一种有效的价格型需求响应策略,通过合理的分时电价能为能源需求方提供充分高效的价格信号,从而实现能源需求削峰填谷的目标;而综合能源系统将电、热、冷、气等多种能源形式耦合起来,并能通过一定的调度策略实现不同能源形式之间的经济调度。在此背景下,首先,利用能源集线器建模技术实现对综合能源系统内各参与单元的有效建模;其次,将传统的针对电负荷的需求响应研究延伸到对冷、热负荷的需求响应研究,建立一个包含电、热、冷负荷需求响应的综合能源需求响应模型,并采用matlab平台下的YALMIP/CPLEX优化求解器进行模型求解;最后,通过对不同场景的算例仿真结果表明,在分时电价背景下考虑综合能源需求响应不仅有利于负荷的削峰填谷,还对系统的调度经济性有一定的提升作用。
英文摘要:
      Peak-valley time-of-use tariff is an effective price-based demand response strategy. Through reasonable time-of-use tariff, energy demanders can provide sufficient and efficient price signals, so as to achieve the goal of peak-filling of energy demand. The integrated energy system combines electricity, heat, cold, gas and other energy forms, and can achieve economic dispatch among different energy forms through a certain dispatching strategy. In this context, firstly, the energy hub modeling technology is used to achieve the effective modeling of the participating units in the integrated energy system. Secondly, the traditional research on demand response for electric load is extended to the research on demand response for cold and hot load, and a comprehensive energy demand response model including demand response for electric, thermal and cold load is established. The model is solved by using YALMIP/CPLEX optimization solver based on MATLAB platform. Finally, the simulation results of different scenarios show that considering the comprehensive energy demand response in the context of time-sharing tariff is not only conducive to load peak-shaving and valley filling, but also has a certain role in improving the dispatching economy of the system.
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