Improved triangle splitting based bi-objective optimization for community integrated energy systems with correlated uncertainties

被引:14
作者
Yu, Hao [1 ]
Tian, Weikun [1 ]
Yan, Jinyue [2 ]
Li, Peng [1 ]
Zhao, Kunpeng [3 ]
Wallin, Fredrik [2 ]
Wang, Chengshan [1 ]
机构
[1] Tianjin Univ, Minist Educ, Key Lab Smart Grid, Tianjin 300072, Peoples R China
[2] Malardalen Univ, S-72598 Vasteras, Sweden
[3] State Grid Customer Serv Ctr, Tianjin 300300, Peoples R China
基金
瑞典研究理事会; 中国国家自然科学基金;
关键词
Bi-objective optimization; Community integrated energy system; Improved triangle splitting algorithm; Uncertainty; Solution probability function; ECONOMIC EMISSION DISPATCH; MULTIOBJECTIVE OPTIMIZATION; DISTRIBUTED ENERGY; POWER; WIND; MICROGRIDS; ALGORITHM;
D O I
10.1016/j.seta.2021.101682
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Economic and environmental benefits are the most important in the operation of community integrated energy systems (CIES), modeled as a bi-objective optimization problem. In the case of the uncertainties from loads and renewable energy generators, the effectiveness of the operation strategies may be degraded in the practical applications of CIES. In this paper, an improved triangle splitting based bi-objective optimization method is proposed to search for the Pareto optimal solution of the CIES operation. The general preference of decision-makers in practical applications is utilized in the search process to reduce the detailed search interval and consequently improve the optimization efficiency. In addition, a bi-objective uncertain optimization framework is established for the economic-environmental operation of the CIES under uncertainties. The correlation between uncertainties is considered to generate the operation scenarios, in which the solution probability function is employed to determine the final operation strategy with robustness. A comprehensive case study is conducted based on a practical CIES in China, proving the feasibility and effectiveness of the proposed methods.
引用
收藏
页数:13
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