Monireh Ahmadi; Seyed Hossein Hosseini; Murteza Farsadi
Abstract
This study investigated the effect of distributed generation resources and demand-response program on the placement of charging/discharging stations and optimal exploitation programming of electric vehicles in a distribution network. Effective factors in the sitting of stations and optimal charge/discharge ...
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This study investigated the effect of distributed generation resources and demand-response program on the placement of charging/discharging stations and optimal exploitation programming of electric vehicles in a distribution network. Effective factors in the sitting of stations and optimal charge/discharge power in stations are a combination of technical and economic parameters. Minimization of network losses, minimization of voltage loss in feeders, smoothing network load curve, and THD reduction were assumed as technical parameters. As to the economic scope, the placement of stations and charge/discharge power were considered the most effective parameters. In other words, the costs of charging/discharging operations needed to be minimized in the stations to reach the lowest costs spent on purchasing power. A price-based demand-response program was incorporated into the simulations to manage loads on the customer side and smooth the load curve. We implemented genetic, particle swarm optimization, and imperialist competitive hybrid meta-heuristic algorithms to find the optimum operating point. We performed simulations in an IEEE standard 69-bus network. The problem was solved using the former hybrid algorithm, and optimal sites of stations and exploitation program of charge/discharge were specified. This study evaluated the effects of renewable energy resources and price-based demand-response program on the optimal placement of stations and optimal exploitation program of stations. Furthermore, it addressed the effects of an increase in the number of stations and a rise in charge/discharge capacity.
Vahid Chakeri; Mehrdad Tarafdar Hagh
Volume 06, Issue 04 , December 2017, , Pages 171-175
Abstract
With the dramatic growth of nonlinear loads, it is desired to improve active filters performance and enhance their capacity. One of the most favorable methods is applying distributed active filter system (DAFS) in which leads to minimizing the cost, weight & size .The main purpose of this paper is ...
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With the dramatic growth of nonlinear loads, it is desired to improve active filters performance and enhance their capacity. One of the most favorable methods is applying distributed active filter system (DAFS) in which leads to minimizing the cost, weight & size .The main purpose of this paper is to determine the locations and sizes of distributed active filter system (DAFS) With emphasis on reducing losses. Minimizing the total losses can have a significant impact on reducing costs. Therefore, placement has been studied by total line losses & minimized loss allocation while satisfying harmonic voltages, total harmonic voltage distortions within IEEE-519 recommended limits. Finally, A typical 37-bus distribution system is selected to verify the validity of the proposed procedures.
Ehsan Sadeghian; Ramtin sadeghi
Volume 01, Issue 02 , June 2012, , Pages 109-118
Abstract
Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity ...
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Optimal capacitor placement, considering power system loss reduction, voltage profile improvement, line reactive power decrease and power factor correction, is of particular importance in power system planning and control. The distribution system operator calculates the optimal place, number and capacity of capacitors based on two major purposes: active power loss reduction and return on investment maximization. In this paper, the optimization problem of various values of economic amount of reactive power is formulated; then after evaluation of objective function and implementation of optimization algorithm for each value, the optimum capacity of capacitors and their arrangement in load nodes of power system are extracted. Also, using the proposed objective function, the threshold price of reactive power selling can be calculated; thus the investment of capacitor installation will be beneficial for distribution system operator
