E3S Web Conf.
Volume 204, 20202020 International Conference of Recent Trends in Environmental Sustainability and Green Technologies (ICRTEG 2020)
|Number of page(s)||9|
|Section||Green Energy and Power Engineering|
|Published online||03 November 2020|
Research on Day-ahead Dispatch of Electricity-heat Integrated Energy System Based on Improved PSO Algorithm
School of Xi'an Jiaotong University, Xi'an, China
* Corresponding author: firstname.lastname@example.org
With the increasingly serious environmental pollution, it is of great significance to construct a comprehensive day-ahead dispatch model of the integrated energy system. For the regional electricity-heat integrated energy system, firstly analyze the operating characteristics and dispatch costs of all units in the system, and then establish the day-ahead economic dispatch model of the system. Furthermore, an improved PSO algorithm is designed based on the idea of adaptive weight and genetic algorithm, and the appropriate algorithm is used to solve the work schedule of each unit in the system through a calculation example. Then the sensitivity analysis of the electric boiler capacity is carried out. Finally, the feasibility of the proposed model is verified through the results analysis, which provides a reference scheme for the electricity-heat integrated energy system including electric vehicles.
Key words: electricity-heat integrated energy system / economic dispatch / improved PSO algorithm / electric vehicles
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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