Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory

Xiaowei Fan, Yongtao Chen, Ruimiao Wang, Jiaxin Luo, Jingang Wang and Decheng Cao ()
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Xiaowei Fan: State Grid Chongqing Electric Power Company, Chongqing 400014, China
Yongtao Chen: Electric Power Scientific Research Institute of State Grid Chongqing Electric Power Company, Chongqing 401121, China
Ruimiao Wang: Electric Power Scientific Research Institute of State Grid Chongqing Electric Power Company, Chongqing 401121, China
Jiaxin Luo: State Grid Wulong Power Supply Company, Chongqing 408506, China
Jingang Wang: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing 400044, China
Decheng Cao: State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing 400044, China

Energies, 2023, vol. 16, issue 8, 1-24

Abstract: To address the problems of “difficult to consume” renewable energy and the randomness of power output, we propose the CHP unit joint-operation model with power to gas (P2G) and carbon capture system (CCS) technologies and analyze the operation cost, carbon emission, and “electric-heat coupling” characteristics of this model. A dispatch optimization model is constructed based on the information-gap decision theory under the strategy to further consider the interval uncertainty of renewable energy unit output and load forecast. The optimized-dispatching model effectively solves the fate of renewable unit output and electric-thermal load and provides dispatching strategies for decision-makers to balance risk and capital management.

Keywords: integrated energy; information-gap decision theory; P2G (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: 2023
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