International Journal of Applied Power Engineering (IJAPE)
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    508 research outputs found

    Distributed Generation Allocation to Improve Steady State Voltage Stability of Distribution Networks Using Imperialist Competitive Algorithm

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    In this paper, a new method is proposed to optimal distributed generation allocation for stability enhancement in radial distribution networks. Voltage stability is related with stable load and acceptable voltage in all buses of system. According to the time spectrum of the incident of the phenomena the instability is divided into steady state and transient voltage instability. The analysis is accomplished using a steady state voltage stability index which can be evaluated at each node of the distribution system. Different optimal locations and capacities are used to check this effect. The location of DG is more important in comparison with the capacities and has the main effect on the network voltage stability. Effects of capacity and location on increasing steady state voltage stability in radial distribution networks are evaluated through Imperialist Competitive Algorithm (ICA) and at the end the results are compared to particle swarm optimization and genetic algorithm on the terms of speed, accuracy and convergence

    A Fuzzy-PD Controller to Improve the Performance of HVDC System

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    In this paper, a fuzzy self adjustment controller has been designed for using in control of a high voltage direct current (HVDC) system. Fuzzy logic method via fuzzy rules based on simple experimental logical proofs, selects the coefficient of PD controller. In order to investigate the performance and accuracy of the proposed control method, a Cigre system is considered and analyzed. The proposed fuzzy - PD controller is compared with conventional PD controller. To achieve this purpose, the operations of designed controllers are investigated for different conditions. Fuzzy controllers used to control of inverter and rectifier converters, improve significantly system responses and performances as well as DC power recovering, especially on hard faults. The HVDC control system with fuzzy controllers in soft faults and variations with small amplitude, are similar conventional control, but on hard faults and variation with large amplitude, the performances are improved in compare with conventional control

    Performance of Grid-connected Photovoltaic System in Equatorial Rainforest Fully Humid Climate of Malaysia

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    This paper presents a result obtained from a comparative study among three different photovoltaic (PV) module technologies for grid-connected photovoltaic system (GCPV) under Malaysia’s real operating conditions. The obtained results were slightly different from the performance ratio (PR) investigation which showed the average annual performance of 78.2% for polycrystalline, 94.6% for a-Si thin-film and 81% for monocrystalline PV technologies over four years monitored period. The outdoor evaluation results showed that a-Si thin-film PV modules demonstrate the highest and better in terms of final yield, performance ratio and PV array/system efficiency over the entire monitored period. In other hands, a-Si thin-film demonstrated the reliability and better in system performanc

    Improving Electrical Power Grid of Jordan and Control the Voltage of Wind Turbines Using Smart Grid Techniques

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    In this paper, we improved the national grid of Jordan country by adding a renewable resources specifically a wind turbines generation unites distributed on different places in Jordan to compensate the losses of the power in Jordan and to dispense with using the generation of fuel and gas by representing the national grid of Jordan in ETAB simulator and we solved the voltage problems of wind turbines using a new mythology using smart grid technique

    Feasibility Study of a Grid Connected Hybrid Wind/PV System

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    This paper investigates the feasibility of a grid connected, large-scale hybrid wind/PV system. From data available an area called RasElnaqab in Jordan is chosen because it enjoys both high average wind speed of 6.13 m/s and high average solar radiation of 5.9KWhr/m2 /day. MATLAB and HOMER software’s are used for sizing and economical analysis respectively. Results show that76124 SUNTECH PV panels and 38 GW87-1.5MW wind turbines are the optimal choice. The net present cost (NPC) is 130,115,936,thecostofenergy(COE)is0.049, the cost of energy (COE) is 0.049/KWhr with a renewable fraction of 74.1%.A stepby-step process to determine the optimal sizing of Hybrid Wind/PV system is presented and it can be applied anywhere

    Automatic Generation Control of Multi-Area Power System with Generating Rate Constraints Using Computational Intelligence Techniques

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    In a large inter-connected system, large and small generating stations are synchronously connected and hence all stations must have the same frequency. The system frequency deviation is the sensitive indicator of real power imbalance. The main objectives of AGC are to maintain constant frequency and tie-line errors with in prescribed limit. This paper presents two new approaches for Automatic Generation Control using i) combined Fuzzy Logic and Artificial Neural Network Controller (FLANNC) and ii) Hybrid Neuro Fuzzy Controller (HNFC) with gauss membership functions. The simulation model is created for four-area interconnected power system. In this four area system, three areas consist of steam turbines and one area consists of hydro turbine. The components of ACE, frequency deviation (F) and tie line error (Ptie) are obtained through simulation model and used to produce the required control action to achieve AGC using i) FLANNC and ii) HNFC with gauss membership functions. The simulation results show that the proposed controllers overcome the drawbacks associated with conventional integral controller, Fuzzy Logic Controller (FLC), Artificial Neural Network controller (ANNC) and HNFC with gbell membership functions.

    Experimental Study of A Vacuumed Solar Still System

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    This experimental study presents a thermal design of a passive solar water distillation system with vacuum. The designed model consists of a glass cover, basin water equipped with reflecting mirror and insulation, and controlled vacuum pump to create vacuum inside the still to decrease the saturation temperature of water and in order to increase the yield. Feed water in the basin is heated by solar energy, and the evaporated water is condensed by inner glass cover. The temperatures at different locations in the system, the received amount of solar radiation, and the distilled water produced were determined. The highest temperature developed inside the distilling device was 51˚ C at ambient temperature of 24˚ C, the daily water production was 1.2 L/m2.day, and the efficiency of the solar still was 15%

    A Simple Approach for Optimal Generation Scheduling to Maximize GENCOs Profit Using PPD Table and ABC Algorithm Under Deregulated Environment

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    In this paper an attempt has been made to solve the profit based unit commitment problem (PBUC) using pre-prepared power demand (PPD) table with an artificial bee colony (ABC) algorithm. The PPD-ABC algorithm appears to be a robust and reliable optimization algorithm for the solution of PBUC problem. The profit based unit commitment problem is considered as a stochastic optimization problem in which the objective is to maximize their own profit and the decisions are needed to satisfy the standard operating constraints. The PBUC problem is solved by the proposed methodology in two stages. In the first step, the unit commitment scheduling is performed by considering the pre-prepared power demand (PPD) table and then the problem of fuel cost and revenue function is solved using ABC Algorithm. The PPD table suggests the operator to decide the units to be put into generation there by reducing the complexity of the problem. The proposed approach is demonstrated on 10 units 24 hour and 50 units 24 hour test systems and numerical results are tabulated. Simulation result shows that this approach effectively maximizes the GENCO’s profit than those obtained by other optimizing methods

    Multi Area Economic Dispatch Using Secant Method and Tie Line Matrix

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    In this paper, Secant method and tie line matrix are proposed to solve multi area economic dispatch (MAED) problem with tie line loss. Generator limits of all generators in each area are calculated at given area power demands plus export (or import) using secant method and the generator limits of all generators are modified as modified generator limits. Central economic dispatch (CED) problem is used to determine the output powers of all generators and finally power flows in all tie lines are determined from tie line matrix. Here, Secant method is applied to solve the CED problem. A modified tie line matrix is used to find power flow in each tie line and then tie line loss is calculated from the power flow in each tie line. The proposed approach has been tested on two-area (two generators in each area) system and four-area (four generators in each area) system. It is observed from various cases that the proposed approach provides optimally best solution in terms of cost with tie line loss with less computational burden

    Participation of Renewable Energy Sources in Restructured Power System

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    In the present paper, a frequency control method based on Genetic Algorithm (GA) has been presented. The proposed scheme has been successfully tested on well known IEEE 39- bus test system. A deregulated electricity market scenario has been assumed in the test system. It has been assumed that both the generators and the consumers are participating in the frequency regulation market. Simulation results show that the proposed GAPID Controller along with HVDC link improves the system frequency. The performance studies have been carried out by using the MATLAB SIMULINK for transactions within and across the control area boundaries

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    International Journal of Applied Power Engineering (IJAPE)
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