Abstract
One of the most significant problems of the modern electricity markets is to deal with renewable energy resources scheduling. This type of generations faces with severe stochastic behavior, such that short term scheduling of them is also complicated. To overcome this drawback, using hydro pumped storage units as a fast response and eco-friendly technology can help to smooth fluctuations of these type of generations and consequently to appropriately dispatch all generations in the reserve and energy market. This paper suggests a stochastic optimization model to optimally operate thermal power plants together with hydro pumped storage units in day ahead market of electrical reserve and energy. This optimization wants to minimize operation cost considering several technical restrictions. It is clear that there is an inherent deviancy among expected and real unclear variables in electric power system. In this paper, an optimal operation strategy is stochastically modeled based on robust optimization. To improve flexibly of proposed market, the curtailed demand as demand response program is taken into consideration. The CPLEX solver of the GAMS software is used to solve proposed model which has been formulated as robust mixed integer linear problem. Effectiveness of the proposed model is evaluated by applying the offered model to the 9-bus test system. Simulation results show that considering restrictions on reserve deliverability across multiple hours lessens the total reserve by 23.37 MW and increases the operation cost by $1434.
Published Version
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