A coordinated model for self‐scheduling and market participation of a large consumer in the face of a comprehensive set of uncertainties with incomplete Data

Abstract In a restructured electricity market, large consumer could supply its consumption through own available resources or purchasing from the markets. Moreover, it participate in demand response programs (DRPs) and also some portion of bilateral contracts. this regard, consumer's objective is to minimize operation cost while facing several uncertainties that affect optimal decisions. The decision‐making problem becomes more difficult especially when historical data incomplete, not available. This paper proposes an framework for face comprehensive set uncertain including market price, internal consumption, renewable power generation, DR participation. To end, probabilistic‐possibilistic methodology proposed model uncertainty prices accurate way comparison with existing approaches concept Z‐number method. modelled by means seasonal ARIMA model, stochastic generation are appropriate probability distribution functions. DRPs considered Markov chain. sign contracts companies provide required demand. simulation results confirm effectiveness other techniques handling uncertainties.