张旭, 葛磊蛟, 高标,等.冷热电三联供与分布式光伏联合优化及理想模糊决策方法[J].河南理工大学学报（自然科学版）,2020,39(6):112-118.

ZHANG X, GE L J, GAO B, et al.An idea fuzzy decision method for the combined optimization of CCHP and distributed photovoltaic[J].Journal of Henan Polytechnic University(Natural Science) ,2020,39(6):112-118.

冷热电三联供与分布式光伏联合优化及理想模糊决策方法

张旭1, 葛磊蛟2, 高标1, 张帅3

1.国网浙江综合能源服务有限公司，浙江 杭州310016;2天津大学 电气自动化与信息工程学院，天津 300072;3.山东科技大学 电气与自动化工程学院，山东 青岛 266590

摘要:冷热电三联供（combined cooling， heating and power， CCHP）系统具有以热定电、以冷定电和冷热电联产等多种运行模式，但在多类型用户能源需求条件下较难实现冷热电三联供的最佳整体能效。为此，综合考虑用户满意度和新能源消纳能力，提出一种冷热电三联供与分布式光伏联合优化及理想模糊决策方法。首先，分析光伏发电（photovltaic， PV）的出力特性，构建冷热电三联供与分布式光伏联合优化模型；其次，提出用户满意度和新能源消纳能力的性能优化评价指标，并使用基于小生境的混合二进制粒子群优化算法，对冷热电三联供与分布式光伏联合优化模型进行解算，用理想模糊决策方法对优化指标进行评估，使区域能源在最大限度保持经济性的条件下，既能让一次能源的使用率降低又能提高系统的整体效益；最后，通过案例对所提方案进行验证，结果可为区域能源综合利用的改造升级提供借鉴。

关键词:区域综合能源;冷热电三联供;分布式发电;光伏发电;用户评价指标;理想模糊决策

doi:10.16186/j.cnki.1673-9787.2020.6.16

基金项目:国家自然科学基金资助项目（51807134 ）；国网浙江省电力有限公司资助项目

收稿日期:2020/02/18

修回日期:2020/03/22

出版日期:2020/11/15

An idea fuzzy decision method for the combined optimization of CCHP and distributed photovoltaic

ZHANG Xu1, GE Leijiao2, GAO Biao1, ZHANG Shuai3

1.State Grid Zhejiang Integrated Energy Service Company， Hangzhou  310016 ， Zhejiang， China;2.School of Electrical and Information Engineering ，Tianjin University， Tianjin  300072 ， China;3.School of Electrical and Automation， Shandong University of Science and Technology， Qingdao  266590，Shandong，China

Abstract:The CCHP has many operating modes， such as ordering power by heat， ordering power by cold， and combined generation of cold， heat and electricity， but it is difficult to achieve the best overall energy efficiency under the energy demand of different users. Considering user satisfaction and new energy consumption capacity ，an ideal fuzzy decision method for the optimization of CCHP and distributed PV was proposed. Firstly， the output characteristics of solar photovoltaic power generation were analyzed， and an combined optimization model of CCHP and distributed PV was presented. Secondly， the performance optimization evaluation indexes of user satisfaction and new energy consumption capacity were proposed. In addition， the optimization model was solved by hybrid binary particle swarm optimization algorithm based on niches， and the optimal index in the scheme was evaluated by using the ideal fuzzy decision method. On the premise of maintaining economy as far as possible， regional energy Internet could reduce the utilization rate of primary energy and improve the overall efficiency of the system. Finally， the feasibility of the proposed scheme was verified by the case， which provided a reference for the upgrade and reconstruction of regional energy comprehensive utilization.

Key words:regional integrated energy;combined cooling， heating and power;distribution generation;photovoltaic;user evaluation indication;ideal fuzzy decision

冷热电三联供与分布式光伏联合优化及理想模糊决策方法_张旭.pdf