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An idea fuzzy decision method for the combined optimization of CCHP and distributed photovoltaic
Author: ZHANG Xu, GE Leijiao, GAO Biao,ZHANG Shuai Time: 2020-11-11 Counts:

doi:10.16186/j.cnki.1673-9787.2020.6.16

Received:2020/02/18

Revised:2020/03/22

Published: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  266590ShandongChina

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

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