Majid Khayatnezhad
Abstract
Renewable energy technology is quickly developing in last decades due to the increasing attention of countries to sustainable and clean energy, and is constantly evolving in terms of technology. Nevertheless, there are obstacles to this case, such as rising costs and declining reliability due to the ...
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Renewable energy technology is quickly developing in last decades due to the increasing attention of countries to sustainable and clean energy, and is constantly evolving in terms of technology. Nevertheless, there are obstacles to this case, such as rising costs and declining reliability due to the volatility of renewable power resources. Renewable technologies with the aim of using one source to cover other weaknesses, is one way to overcome these obstacles. In the present paper, a technique for optimum sizing of the components in a hybrid renewable power system (HRPS) consists of PV panels, electrolyzer, fuel cell, wind turbines, and the converters has been studied with keeping the value of the Net Present Cost (NPC) minimum. For giving a more efficient power generation cost, the optimization is obtained by using an Adaptive version of Wildebeest Herd Optimizer (AWHO). The main profit of the suggested algorithm is to resolve the main disadvantages of the other metaheuristic from the literature, like reliability, convergence speed, premature convergence, and accuracy, as it is possible. The proposed system is performed to a real-world case study in Yantai, China. Simulation results are put in comparison with several latest methods.
Guobin Yan; Shunlei Li
Abstract
Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of ...
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Recently, the application of the intelligent parking lot (IPL) in the power market has been exponentially increasing to decrease the greenhouse gasses, the pollution, and to decrease the deviation cost of the energy production based on electric vehicles (EV). IPLs uses charge and discharge features of EVs to exchange the energy in the upstream grid. This paper study on a new interval-analysis based optimal solution of an IPL by considering the interval uncertainties for the price of upstream gird value. The method based on using an interval-based particle swarm optimization algorithm to optimize an interval objective function with lower and upper limitations with a single-valued output. Simulation results of the presented procedure are compared with a deterministic mixed-integer linear programming to show its superiority. The results show that deviation cost has been decreased up to 10.74% while average cost has been raised into 5.17% which demonstrates the methods high performance in decreasing the average cost of IPL and the reliability of the intelligent parking lot in the presence of uncertainties derived from the upstream grid.
Giorgos Jimenez
Abstract
Environment and financial matters provide careful attention to electric vehicles (EV) and economical power resource benefits. There is an answer suggestion for increasing the effect of this benefit that is using the Potential of electric vehicles. The capacity for electric vehicles needs getting ready ...
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Environment and financial matters provide careful attention to electric vehicles (EV) and economical power resource benefits. There is an answer suggestion for increasing the effect of this benefit that is using the Potential of electric vehicles. The capacity for electric vehicles needs getting ready for Smart Dispensation Systems (SDS). Demand response schemes, as an appropriate gadget using the potential of ratifier in the perfect organization of the framework, grants dynamic closeness in the system of control supporters implementation shift and these undertakings, in the essential situations, can grant the demand requirements decreasing, in a short time period. In the proposed paper, endeavors to give a multipurpose schematization of EV in view of the keen lattice maintainable resources, wear vulnerability brought about by unlimited resources and EVs, due to the demand response undertakings, EV cell accumulating structure, restrict the performing expenses and the amount of force system contamination, by improving methodology. Enhanced advancement calculation is used for dealing with the propelling issue. Working expenses dropped considerably additionally using financial pattern of the request reaction and vehicle charge/release and intelligent plan in the times that the heap is little. Viability of the suggested strategy is connected to 94 standard transport power framework.
