Research Article
Optimal Configuration of Micro-Energy-Network of Cogeneration Type in Near Land Island
@INPROCEEDINGS{10.1007/978-3-030-62483-5_33, author={Weiguang Zhao and Zehao Ling and Jingqiang Zhao and Ying Yang and Ze Xie and Ze Chen}, title={Optimal Configuration of Micro-Energy-Network of Cogeneration Type in Near Land Island}, proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings}, proceedings_a={GREENETS}, year={2020}, month={11}, keywords={Near land island Micro-energy-network Energy supply system Optimal allocation}, doi={10.1007/978-3-030-62483-5_33} }- Weiguang Zhao
Zehao Ling
Jingqiang Zhao
Ying Yang
Ze Xie
Ze Chen
Year: 2020
Optimal Configuration of Micro-Energy-Network of Cogeneration Type in Near Land Island
GREENETS
Springer
DOI: 10.1007/978-3-030-62483-5_33
Abstract
In order to effectively solve the problem that the offshore island energy supply system can not be applied to the near land island, the micro energy network optimization configuration model under the typical scenes of the near land island is constructed, and the specific load data is used to configure the capacity of the main equipment in the scheme. The model satisfies the problems of electricity load, heat load and desalination. The objective function of the model is the minimum operating cost and the maximum customer satisfaction. Considering the constraints of various types of power generation and energy storage, thermal power balance and desalination, particle swarm optimization algorithm is used to solve the problem. Taking a micro energy network of an island as an example, this paper simulates the micro energy network of cogeneration type, and makes a comparative analysis with the common micro energy network of the island. The results show that the optimized configuration model of the micro energy network of the near land island studied in this paper can effectively provide the power load and heat load for the users, improve the satisfaction of the users, and thus improve the economy of the micro energy network.
