Multi-objective optimization scheduling of integrated energy system interval under multiple uncertainty environment

被引：0

作者：

Zhao, Lin ^{[1
]}

Hou, Yixin ^{[1
]}

Jiang, Haiwei ^{[1
]}

Liu, Guangshuo ^{[1
]}

Yang, Fangyuan ^{[1
]}

机构：

[1] State Grid Liaoning Elect Power Co Ltd, Econ Res Inst, Shenyang 110000, Peoples R China

来源：

SOFT COMPUTING | 2023年

关键词：

Integrated demand response; Exergy efficiency; Integrated energy system; Uncertainty; Interval multi-objective linear programming; POWER; HEAT; GAS;

D O I：

10.1007/s00500-023-08222-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An interval multi-objective optimization dispatch approach of integrated energy system under various uncertain variables is presented to address the impact of uncertainty on dispatch plan. First, interval mathematics is used to describe multiple uncertain factors in the system, such as efficiency of multi-energy coupling unit, demand response, and electricity substitution; second, considering the efficient use of energy, the economics of system operation, and difference in energy quality, optimize system operation with goal of lowest system operating cost and highest exergy efficiency; and finally, based on interval multi-objective linear programs, optimize system operation Case research reveals that multi-objective optimization scheduling may account for system operating economics and exergy efficiency and increase the system's capacity to handle numerous uncertainties.

引用

页数：16

共 29 条

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