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

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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.

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APA

Fan, X., Chen, Y., Wang, R., Luo, J., Wang, J., & Cao, D. (2023). Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory. Energies, 16(8). https://doi.org/10.3390/en16083314

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