Multi-microgrid double-layer robust optimization scheduling method considering various demand responses

Abstract

The invention discloses a multi-microgrid double-layer robust optimization scheduling method considering various demand responses. The method comprises the following steps: establishing a system and a mathematical model containing time-breaking and time-shifting electric / thermal load demand responses and electric-thermal coupling demand responses; then establishing a heat and power cogeneration multi-microgrid (MCHP) system model containing shared energy storage and electric heat interaction; taking a difference value between the electric / thermal load after demand response and fan and photovoltaic output as a predicted net load of the multi-microgrid, and building a complete multi-microgrid double-layer robust optimization scheduling model; finally, applying a column constraint generation algorithm (Camp; and CG) solving a multi-microgrid double-layer robust optimization scheduling model considering different load type demand responses. According to the method, the output of renewable energy sources of the multiple microgrids and the uncertainty of loads are considered, on the basis that the power and heat supply loads of the multiple microgrids are met, the system scheduling result with the optimal income of the multi-microgrid system under the worst condition is obtained, and the stability and economical efficiency of the system can be improved.

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