Abstract
Optimization of energy resources is a priority issue for our society. An improper imbalance between demand and power generation can lead to inefficient use of installed capacity, waste of fuels, worse effects on the environment, and higher costs. This paper presents the preliminary results of a study of seventeen interconnected power generation plants situated in eastern Mexico. The aim of the research is to apply a linear programming model to find the system-optimal solution by minimizing operating costs for this grid of power plants. The calculations were made taking into account the actual parameters of each plant; the demand and production of energy were analyzed in four time periods of 6 h during a day. The results show the cost-optimal configuration of the current power infrastructure obtained from a simple implementation model in MATLAB® software. The contribution of this paper is to adapt a lineal progamming model for an electrical distribution network formed with different types of power generation technology. The study shows that fossil fuel plants, besides emitting greenhouse gases that affect human health and the environment, incur maintenance expenses even without operation. The results are a helpful instrument for decision-making regarding the rational use of available installed capacity.
Highlights
Due to the increase in energy demand, the requirement to reduce its costs, and the need for a transition from a centralized to a distributed power generation system, global integration of energy supply must be planned and managed
These techniques consider time interval series that allows historical data to be examined to establish the statistical behavior of these variables and predict the values that may occur in the future. [4,5,6]
This paper presents an optimization study of an electric power generation plant network through the economic dispatch model, which is a linear programming scheme
Summary
Due to the increase in energy demand, the requirement to reduce its costs, and the need for a transition from a centralized to a distributed power generation system, global integration of energy supply must be planned and managed. Within the electricity generation sector, different variables and parameters must be considered to enhance its preformance. Some of these considerations are the energy demand, the installed capacity, a plant’s ability to ramp up or shut down quickly, and generation costs, among other things [1,2]. Studies based in stochastic techniques have been implemented to forecast the generation or demand for short, medium, and long term analysis [3]. These techniques consider time interval series that allows historical data to be examined to establish the statistical behavior of these variables and predict the values that may occur in the future. These variables delineate the cost-optimal configuration of the power generation grid
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