Abstract
Continuous power supply in an integrated electric system supplied by solar energy and battery storage can be optimally maintained with the use of diesel generators. This article discusses the optimum setting-point for isolated wind, photo-voltaic, diesel, and battery storage electric grid systems. Optimal energy supply for hybrid grid systems means that the load is sufficient for 24 h. This study aims to integrate the battery deprivation costs and the fuel price feature in the optimization model for the hybrid grid. In order to count charge–discharge cycles and measure battery deprivation, the genetic algorithm concept is utilized. To solve the target function, an ANN-based algorithm with genetic coefficients can also be used to optimize the power management system. In the objective function, a weight factor is proposed. Specific weight factor values are considered for simulation studies. On the algorithm actions, charging status, and its implications for the optimized expense of the hybrid grid, the weight factor effect is measured.
Highlights
A hybrid grid (HG) is an electrical distribution network that allows the penetration of various locally produced sources with or without storage equipment (Navigant Research, 2016)
The proposed power management system (PMS) would determine how much HG electricity will be added to the energy storage system (ESS) and how much will be replaced on the main grid
HG Modeling discusses modeling of HG devices; PMS Problem Formulation deals with proposed PMS, including potential objective functions and devices; are neural networks (ANNs) With Genetic Application deals with application of the ANN and genetic algorithms in the PMS; Discussion on Simulation Outcomes deals with the simulation and discussion; and Conclusion ends the article
Summary
A hybrid grid (HG) is an electrical distribution network that allows the penetration of various locally produced sources with or without storage equipment (Navigant Research, 2016). A power management system (PMS) is used for the most efficient use of hybrid grid units. In terms of the maximum use of the battery storage (BS) in the HG, Power Management of Hybrid Grid System several studies were carried out for optimal delivery of HG generation and storage devices. For this reason, many advanced methods of optimization were published. The problem of optimization is modeling so that the operating costs for HG generation units are minimized and the consumption of renewable sources maximized. This study uses the ANNGA algorithm for solving a problem of 48-h programming for isolated rural HG units. It is reasonable to presume that it is proportionate to the power flow
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