A two-stage optimal planning and design method for combined cooling, heat and power microgrid system

被引：224

作者：

Guo, Li ^{[1
]}

Liu, Wenjian ^{[1
]}

Cai, Jiejin ^{[2
,3
]}

Hong, Bowen ^{[1
]}

Wang, Chengshan ^{[1
]}

机构：

[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China

[2] Sun Yat Sen Univ, Sch Phys & Engn, Guangzhou 510275, Guangdong, Peoples R China

[3] Sun Yat Sen Univ, Sino French Inst Nucl Engn & Technol, Guangzhou 510275, Guangdong, Peoples R China

来源：

ENERGY CONVERSION AND MANAGEMENT | 2013年 / 74卷

关键词：

Combined cooling; Heat and power microgrid system; Two-stage optimal design method; Multi-objective genetic algorithm; Mixed integer linear programming; CCHP SYSTEMS; OPERATION; OPTIMIZATION; PERFORMANCE; ENERGY; TRIGENERATION; MODEL;

D O I：

10.1016/j.enconman.2013.06.051

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, a two-stage optimal planning and design method for combined cooling, heat and power (CCHP) microgrid system was presented. The optimal objective was to simultaneously minimize the total net present cost and carbon dioxide emission in life circle. On the first stage, multi-objective genetic algorithm based on non-dominated sorting genetic algorithm-II (NSGA-II) was applied to solve the optimal design problem including the optimization of equipment type and capacity. On the second stage, mixed-integer linear programming (MILP) algorithm was used to solve the optimal dispatch problem. The approach was applied to a typical CCHP microgrid system in a hospital as a case study, and the effectiveness of the proposed method was verified. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：433 / 445

页数：13

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