Optimization Model for “Source-Load” Collaborative Configuration Considering the Consumption of New Energy

Taking into account the uncertainties of new energy consumption and “source-load”, a optimized model with robust method for the collaborative configuration of the generators with traditional and renewable energy in the power system with traditional and renewable energy is presented with the multi-objective functions, one of which is used to minimize the total value of the curtailment volume in wind and solar power, another one of which is used to minimize investment and operation maintenance costs. Big-M method is used to handle nonlinear constraint conditions and uncertainty sets is used to formulate the uncertainties in solar and wind energy. The simulation calculation of the instance verified the feasibility and adaptability of the model and algorithm.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/eect64505.2025.10966998
Primary Topic
Integrated Energy Systems Optimization
Type
article
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Optimization Model for “Source-Load” Collaborative Configuration Considering the Consumption of New Energy

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Integrated Energy Systems Optimization
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Optimization Model for “Source-Load” Collaborative Configuration Considering the Consumption of New Energy

Yong Xiao, Xu Yutao, Feng Qihui, Yunfeng Li, Ziwen Cai, Chen Dunhui
article en

Abstract

Taking into account the uncertainties of new energy consumption and “source-load”, a optimized model with robust method for the collaborative configuration of the generators with traditional and renewable energy in the power system with traditional and renewable energy is presented with the multi-objective functions, one of which is used to minimize the total value of the curtailment volume in wind and solar power, another one of which is used to minimize investment and operation maintenance costs. Big-M method is used to handle nonlinear constraint conditions and uncertainty sets is used to formulate the uncertainties in solar and wind energy. The simulation calculation of the instance verified the feasibility and adaptability of the model and algorithm.

Guizhou Electric Power Design and Research Institute (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 93%
Integrated Energy Systems Optimization
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