Stochastic-Risk Based Approach for Microgrid Participation in Joint Active, Reactive, and Ancillary Services Markets Considering Demand Response

In the restructured power systems, renewable energy sources (RES) have been developed. Uncertainties of these generators reduce reliability and stability systems. The frequency voltage for correct operation systems must always be maintained within a nominal value. Ancillary services (AS), storage (ESS), demand response programs (DRPs) can effective solutions mentioned problems. Microgrids (MG) make an improvement in their profits efficiency by participating various markets. This paper provides optimal scheduling simultaneous participation MGs coupled active, reactive AS markets (regulation, spinning reserve non-spinning reserve) considering ESS, DRPs, call deploying AS, uncertainties wind solar productions. Capability diagrams; mathematical equations are used to model active generation units. Risk management this is done conditional value at risk (CVaR) method probability distribution functions (PDF) modeling speed radiation. ERCOT (Electric Reliability Council Texas) market simulated with real world data.