Department of Industrial Engineering, University of Houston. Houston, TX, USA

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Abstract: In this paper, a combined model for optimal power planning consisting of carbon and carbon-free sources having weather uncertainties and their corresponding costs have been presented for liberalized electricity markets. To simulate the volatility, scenarios representing different percentages of renewable penetration into the power market have been presented which take the form of stochastic linear programming model which is solved by GAMS/CPLEX. The optimal values of power generation, reserve dispatch (battery) and corresponding sales to the main stream utility market are calculated. Final computational results indicate that increasing the utilization of wind and solar power output will decrease the over-dependence on conventional thermal sources but still the proposed model cannot make the wind and solar power fully reliant for self-sufficient autonomous mode and the significance of conventional sources can not be ignored for the near future. The proposed model can address the energy sustainability and renewable integration issues.

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