Optimal Evolutionary Dispatch for Integrated Community Energy Systems Considering Uncertainties of Renewable Energy Sources and Internal Loads

Xinghua Liu, Shenghan Xie, Chen Geng, Jianning Yin, Gaoxi Xiao and Hui Cao
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Xinghua Liu: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Shenghan Xie: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Chen Geng: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Jianning Yin: School of Electrical Engineering, Xi’an University of Technology, Xi’an 710048, China
Gaoxi Xiao: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Hui Cao: School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Energies, 2021, vol. 14, issue 12, 1-16

Abstract: For the future development of integrated energy systems with high penetration of renewable energy, an integrated community energy systems (ICES) dispatch model is proposed including various renewable energy sources and energy conversion units. Energy coupling matrices of ICES based on traditional energy hub (EH) models are constructed. Uncertainties of long-term forecast data of renewable energy sources and internal loads are depicted by multi-interval uncertainty sets (MIUS). To cope with the impacts caused by uncertainties of renewable energy sources and internal loads, the whole dispatch process is divided into two stages. Considering various constraints of ICES, we solved the dispatch model through the improved particle swarm optimization (IPSO) algorithm in the first stage. The optimal evolutionary dispatch is then proposed in the second stage to overcome the evolution and errors of short-term forecast data and obtain the optimal dispatch plan. The effectiveness of the proposed dispatch method is demonstrated using an example considering dramatic uncertainties. Compared with the traditional methods, the proposed dispatch method effectively reduces system operating costs and improves the environmental benefits, which helps to achieve a win-win situation for both energy companies and users.

Keywords: integrated community energy system; energy hub; renewable energy source; optimal dispatch (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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