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This paper deals with the self-scheduling problem of a price-taker having wind and thermal power production and assisted by a cyber-physical system for supporting management decisions in a day-ahead electric energy market. The self-scheduling is regarded as a stochastic mixed-integer linear programming problem. Uncertainties on electricity price and wind power are considered through a set of scenarios...
This paper presents a stochastic mixed-integer linear programming approach for solving the self-scheduling problem of a price-taker thermal and wind power producer taking part in a pool-based electricity market. Uncertainty on electricity price and wind power is considered through a set of scenarios. Thermal units are modelled by variable costs, start-up costs and technical operating constraints,...
Energy conversion from renewable energy has been possible due to extra-market supporting policies. The extra-market approach survives for low penetration levels, but as energy from wind penetration increases the extra-market policies are expected to become untenable. A wind power producer (WPP) should expect full competition in deregulated electricity market, i.e., has to have an offer strategy to...
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