Research on Day-ahead Dispatch of Electricity-heat Integrated Energy System Based on Improved PSO Algorithm

Abstract

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.

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The different versions of the original document can be found in:

• https://www.e3s-conferences.org/10.1051/e3sconf/202020402008/pdf,

http://dx.doi.org/10.1051/e3sconf/202020402008 under the license https://creativecommons.org/licenses/by/4.0/

• https://www.e3s-conferences.org/10.1051/e3sconf/202020402008/pdf,

https://academic.microsoft.com/#/detail/3097845162 under the license https://creativecommons.org/licenses/by/4.0/

• https://www.e3s-conferences.org/articles/e3sconf/pdf/2020/64/e3sconf_icrteg2020_02008.pdf,

https://doaj.org/toc/2267-1242