Optimal Scheduling Model of Regional Multi-energy Microgrid Containing Concentrating Solar Power Plant
With the increase of renewable energy penetration ratio and the deepening of energy coupling,multi-energy microgrid(MMG)has become an effective way to regulate complex energy systems.The paper proposes an optimal scheduling model of regional MMG with the output of concentrating solar power station(CSPP).Firstly,a park model including wind turbine,photovoltaic,CSPP,combined heat and power plant and gas turbine is established.Secondly,an MMG optimization model based on conditional value-at-risk(CVaR)is established to measure the economic risk of output uncertainty for wind and photovoltaic equipment.Thirdly,a consensus-based alternating direction multiplier algorithm is used to solve the model.Finally,an example analysis verifies that this model takes into account the privacy and security of the parks while improving the economic benefits of the system.
MMGCSPPCVaRalternating direction multiplier algorithmshared energy storage