Optimization scheduling strategy of integrated energy system based on improved particle swarm optimization algorithm

被引：0
|
作者：
Liu, Shiheng [1 ]
Ding, Zhenyu [1 ]
Li, Feng [1 ]
机构：
[1] Jiangsu Univ Technol, Coll Elect & Informat Engn, Changzhou 213001, Jiangsu, Peoples R China
来源：
2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS | 2023年
关键词：
Integrated energy system; Optimization strategy; Cooperative optimization; Particle swarm algorithm;
D O I：
10.1109/DDCLS58216.2023.10166748
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the integrated energy system with the goal of system economy is studied and analyzed and the optimal scheduling strategy of the integrated energy system is proposed under the condition of minimum operation cost. Firstly, considering the characteristics of electric cooling and heat system when different energy sources are co-supplying energy, the system optimization model of gas internal combustion engine, gas turbine and other units is established. Secondly, the improved particle swarm optimization algorithm is used to solve the system. Finally, the scheduling strategy to minimize the operation cost of the integrated energy system is given. The simulation results show that the proposed scheduling strategy and optimization method can effectively reduce the system operation cost and provide an early basis for the future planning of power supply system.
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页码：1598 / 1603
页数：6
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