Energy flow optimization method for multi-energy system oriented to combined cooling, heating and power

被引：56
|
作者：
Chen Lingmin [1 ,2 ]
Wu Jiekang [1 ]
Wu Fan [5 ]
Tang Huiling [3 ]
Li Changjie [4 ]
Xiong Yan [6 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Dept Expt Teaching, Guangzhou, Guangdong, Peoples R China
[3] Guangdong Univ Technol, Sch Phys Optoelect Engn, Guangzhou 510006, Guangdong, Peoples R China
[4] China Southern Power Grid Co, CSG Power Generat Co, Guangzhou, Guangdong, Peoples R China
[5] Guangxi Hongshen Elect Power Design Co Ltd, Nanning 530023, Guangxi, Peoples R China
[6] EAST Grp Co Ltd, Dongguan, Peoples R China
来源：
ENERGY | 2020年 / 211卷
基金：
中国国家自然科学基金;
关键词：
Multi-energy system; Energy flow optimization; Combined cooling; Heating and power; Photovoltaic module; Wind turbine; Energy storage system; PARTICLE SWARM OPTIMIZATION; MODEL-PREDICTIVE CONTROL; CCHP SYSTEM; DISTRIBUTED GENERATION; MANAGEMENT STRATEGY; OPTIMAL-DESIGN; OPERATION; SOLAR; PERFORMANCE; ELECTRICITY;
D O I：
10.1016/j.energy.2020.118536
中图分类号：
O414.1 [热力学];
学科分类号：
摘要：
A modeling framework of a multi-energy system with coordinated supply of combined cooling, heating and power (CCHP) using wind and solar energy is established in this paper. An index of loss of power supply probability and loss of heat supply probability is constructed defining a reliability index for the supply of the specific form of energy. Considering and weighing investment cost, primary energy consumption, carbon dioxide emission and the newly defined energy supply reliability index, an optimization model for capacity allocation of multiple energy sources in a multi-energy system using wind, solar, gas and storage is constructed using Particle Swarm Optimization (PSO) algorithm to solve the optimization problem. The proposed method increases renewable energy generation rate, reduces energy storage capacity and improves energy supply reliability. (C) 2020 Elsevier Ltd. All rights reserved.
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页数：16
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