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Multi-Energy Microgrid Low-Carbon Optimization Scheduling and Robust Solution Method with Low Conservatism Based on Collaborative Comprehensive Demand Side Response
YANG Chen, WANG Long, WANG Zongyi, JIN Xin, PAN Tingzhe
Electric Power Construction ›› 2026, Vol. 47 ›› Issue (2) : 136-146.
PDF(2718 KB)
PDF(2718 KB)
Multi-Energy Microgrid Low-Carbon Optimization Scheduling and Robust Solution Method with Low Conservatism Based on Collaborative Comprehensive Demand Side Response
[Objective] To address the negative impacts of renewable energy and load uncertainty on the economic performance and low-carbon optimization operation of multi-energy microgrids，this paper explores the potential of comprehensive demand response and proposes a low-conservatism robust solution method for the electric-thermal microgrid. [Methods] Firstly，a low-carbon scheduling model for multi-energy microgrids is constructed based on the constraints of the power grid and thermal network，as well as the characteristics of the combined electric-thermal demand response and the electric-thermal conversion process. To enhance the robustness and disturbance resistance of the operation mode in complex uncertainty environments，a theory of constructing uncertain sets based on high-dimensional linear polyhedra is proposed，which transforms the proposed model into a low-conservatism robust optimization model for solution； further，using the strong duality theory，the proposed robust model is transformed into a mixed integer optimization model for solution. This paper uses the IEEE 33-node multi-energy microgrid test system for calculation. [Results] The calculation results show that，compared with the traditional optimization scheduling strategy，the proposed scheduling method reduces the operation cost and carbon emission by 5.30% and 6.46%； considering the comprehensive demand response，the proposed model reduces the operation cost by 4.11%. [Conclusions] The calculation results verify the economic and low-carbon performarce of the proposed method.
multi-energy microgrid / robust optimization / duality theory / comprehensive demand response
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