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.
引用
下载
收藏
页码：1598 / 1603
页数：6
相关论文
共 50 条
  • [21] Dynamic spatial scheduling approach based on improved particle swarm optimization algorithm
    Zhang, Zhi-Ying
    Yang, Ke-Kai
    Yu, Jin-Wei
    Chen, Qiang
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2009, 30 (12): : 1344 - 1350
  • [22] Cloud computing task scheduling based on Improved Particle Swarm Optimization Algorithm
    Zhang, Yuping
    Yang, Rui
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 8768 - 8772
  • [23] Blending scheduling based on particle swarm optimization algorithm
    Zhao, Xiaoqiang
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 1192 - 1196
  • [24] Blending scheduling based on particle swarm optimization algorithm
    Zhao, XQ
    Rong, G
    PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI-2004), 2004, : 618 - 622
  • [25] Optimization design of CVT cooling system based on improved particle swarm optimization algorithm
    State Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha 410082, China
    Zhongguo Jixie Gongcheng, 2008, 15 (1811-1814+1826): : 1811 - 1814
  • [26] Bidding Strategy Based on Improved Particle Swarm Optimization Algorithm for a Generation Company
    Afshar, Karim
    Ahmadi, Saeedeh
    Bigdeli, Nooshin
    2012 INTERNATIONAL CONFERENCE ON POWER AND ENERGY SYSTEMS (ICPES 2012), 2012, 13 : 157 - 162
  • [27] Integrated kitchen design and optimization based on the improved particle swarm intelligent algorithm
    Sun, Xin
    Ji, Xiaomin
    COMPUTATIONAL INTELLIGENCE, 2020, 36 (04) : 1638 - 1649
  • [28] Research on charging strategy based on improved particle swarm optimization PID algorithm
    Wang, Xiuzhuo
    Tang, Yanfeng
    Li, Zeyao
    Xu, Chunsheng
    COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (05) : 6421 - 6433
  • [29] A Modified Particle Swarm Optimization Algorithm Based on Improved Chaos Search Strategy
    Gao, Xue-yao
    Sun, Li-quan
    Zhang, Chun-xiang
    Yang, Shou-ang
    PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN, VOL 1, 2008, : 331 - +
  • [30] Improved particle swarm optimization based on genetic strategy
    Shen, Xi
    Huang, Zhendi
    Huang, Yuejin
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2009, 30 (SUPPL.): : 107 - 114
12345