In this article, a community integrated energy system (CIES) coupled with electricity, gas and heat is investigated, which integrates with renewable energies such as photovoltaic and wind turbine. The main goal is to seek an optimal scheduling scheme, including reducing the operating costs and fully exploiting the demand response potential. Firstly, given the structure of CIES, the system equipment and loads are modeled and analyzed. Moreover, considering the user controllable degree, a comprehensive user satisfaction method is established based on the combination of subjective weight and objective weight method. This paper concerns the user controllable degree in the process of flexible load optimization so that some amounts of loads are transferred from peak periods to off-peak periods to flatten the load curve. Three cases studies in the article show the influence of user controllable degree and satisfaction on CIES. Finally, the system model is solved using CPLEX solver in MATLAB optimization software. The results show that the operating costs and environmental costs are reduced by 9.31% and 3.24% due to the presence of user controllable degree and satisfaction. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译：

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考虑综合用户满意度法的社区综合能源系统优化调度

在本文中，研究了与电力、天然气和热力相结合的社区综合能源系统 (CIES)，该系统与光伏和风力涡轮机等可再生能源相集成。主要目标是寻求最优调度方案，包括降低运营成本和充分挖掘需求响应潜力。首先，给定CIES的结构，对系统设备和负载进行建模和分析。此外，考虑到用户可控程度，建立了基于主观权重和客观权重法相结合的综合用户满意度方法。本文关注用户在灵活负荷优化过程中的可控程度，将部分负荷从高峰期转移到非高峰期，使负荷曲线变平。文章中的三个案例研究表明了用户可控程度和满意度对CIES的影响。最后，利用MATLAB优化软件中的CPLEX求解器对系统模型进行求解。结果表明，由于用户可控程度和满意度的存在，运营成本和环境成本分别降低了9.31%和3.24%。© 2022 日本电气工程师学会。由 Wiley Periodicals LLC 出版。