Optimal Scheduling Strategy for Energy Consumption Minimization of Hydro-Thermal Power Systems

Jiekang WU
2009 Energy and Power Engineering  
A comparison analysis based method for computing the water consumption volume needed for electric energy production of optimal scheduling in hydro-thermal power systems is presented in this paper. The electric energy produced by hydroelectric plants and coal-fired plants is divided into 4 components: potential energy, kinetic energy, water-deep pressure energy and reservoir energy. A new and important concept, reservoir energy, is proposed, based on which is divided into a number of water
more » ... mber of water bodies, for example 3 water bodies, and a reservoir is analyzed in a new way. This paper presents an optimal scheduling solution of electric energy production of hydro-thermal power systems based on multi-factors analytic method, in which some important factors, such as load demand, reservoir in-flow, water consumption volume increment rate of hydroelectric plants or converted from coal-fired plants, and so on are given to model the objective function and the constraints. A study example with three simulation cases is carried out to illustrate flexibility, adaptability, applicability of the proposed method. Keywords: hydro-thermal power systems, optimal electric energy production, water consumption volume [5] [6], network flow [7-9], standard mixed integer programming methods [10] [11] [12] , and modern heuristic algorithms [13] [14] . Although dynamic programming is flexible and can handle the constraints better in a straightforward way, the "curse of dimensionality" still remains, and the main drawback of using dynamic programming for a realistic systems with multiple reservoirs EPE 55 and cascaded hydro plants still exists [14] . Network flow would be the natural way to model hydro systems. Its main drawback, however, is its inability to deal with discontinuous operating regions and discrete operating states [15] . Mixed integer programming is only suitable for small systems due to size limitations. Modern heuris-157
doi:10.4236/epe.2009.11009 fatcat:f4ptovoclrfh5cg3nsah3iblri