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Go to Editorial ManagerMinimization of active power losses is one of the essential aims for any electric utility, due to its importance in improvement of system properties towards minimum production cost and to support increase load requirement. In this paper we have studied the possibility of reducing the value of real power losses for (IEEE-14- Bus bar) global system transmission lines by choosing the best location to install shunt capacitor depending on new algorithm for calculate the optimal allocation, which considering the value of real power losses derivative with injection reactive power as an indicator of the ability of reducing losses at load buses. The results show the validity of this method for application in electric power transmission lines.
This study aims to assimilate distributed generation (DG) unit using a novel hybrid technique to improve the efficiency of electric power distribution networks by minimizing the real power losses (RPL) and enhancing the bus voltages (BV). A hybrid technique has been implemented by combining the features of nature-inspired algorithms namely hunter-prey optimizer (HPO) and ant lion optimizer (ALO) algorithms. The exploitation characteristic of ALO and exploration characteristic of HPO is utilized to optimize single DG in radial distribution power network (DPN). The efficacy of the suggested hybrid optimization technique is validated using MATLAB/Simulink software tool. The proposed hybrid technique was executed to optimize type I and type III DG in a balanced IEEE 69-bus radial DPN. The optimized type I and type III DG placement minimized the real power losses of a test system to 71.23 kW and 20.38 kW, respectively. Additionally, the least bus voltage of the test system improved to 0.9776p.u and 0.9843p.u following type I and type III DG allocation. The optimized allocation of type I DG and type III DG has resulted in 68.34% and 90.94% power loss reduction, respectively and enhanced the minimum bus voltage of the test system by 7.5% and 8.3%, respectively. The efficacy of the proposed hybrid methodology was investigated by relating its simulation outcome with other optimization methodologies present in the literature. The comparative results revealed that the proposed hybrid optimization technique provided better RPL minimization at improved BV than the compared optimization techniques.
The performance of power distribution systems (PDS) has improved greatly in recent times ever since the distributed generation (DG) unit was incorporated in PDS. DG integration effectively cuts down the line power losses (PL) and strengthens the bus voltages (BV) provided the size and place are optimized. Accordingly, in the present work, a hybrid optimization technique is implemented for incorporating a single DG unit into radial PDS. The proposed hybrid method is formed by integrating the active power loss sensitivity (APLS) index and whale optimization meta-heuristic algorithm. The ideal place and size for DG are optimized to minimize total real power losses (TLP) and enhance bus voltages (BV). The applicability of the proposed hybrid technique is analyzed for Type I and Type III DG installation in a balanced IEEE 33-bus and 69-bus radial PDS. Optimal inclusion of type I and III DG in a 33-bus radial test system cut down TLP by 51.85% and 70.02% respectively. Likewise, optimal placement of type I and III DG reduced TLP by 65.18%, and 90.40%, respectively for 69-bus radial PDS. The impact of DG installation on the performance of radial PDS has been analyzed and a comparative study is also presented to examine the sovereignty of the proposed hybrid method. The comparative study report outlined that the proposed hybrid method can be a better choice for solving DG optimization in radial PDS.
In this paper the minimization of power losses in a real distribution network have been described by solving reactive power optimization problem. The optimization has been performed and tested on Konya Eregli Distribution Network in Turkey, a section of Turkish electric distribution network managed by MEDAŞ (Meram Electricity Distribution Corporation). The network contains about 9 feeders, 1323 buses (including 0.4 kV, 15.8 kV and 31.5 kV buses) and 1311 transformers. This paper prefers a new Chaotic Firefly Algorithm (CFA) and Particle Swarm Optimization (PSO) for the power loss minimization in a real distribution network. The reactive power optimization problem is concluded with minimum active power losses by the optimal value of reactive power. The formulation contains detailed constraints including voltage limits and capacitor boundary. The simulation has been carried out with real data and results have been compared with Simulated Annealing (SA), standard Genetic Algorithm (SGA) and standard Firefly Algorithm (FA). The proposed method has been found the better results than the other algorithms.
In This paper presents an approach for optimal placement and sizing of fixed capacitor banks and also optimal conductor selection in radial distribution networks for the purpose of economic minimization of loss and enhancement of voltage. The objective function includes the cost of power losses, voltage profile, fixed capacitor banks and also type of conductor selection. Constraints include voltage limit, maximum permissible carrying current of conductors, size of available capacitors and type of conductors. The optimization problem is solved by the Imperialism Competitive algorithm method and the size and site capacitor banks and type of conductors is determined. To demonstrate the validity of the proposed algorithm, computer simulations are carried out on actual power network of Kerman city, Iran and the simulation results are presented and discussed.
The distribution network suffers from low voltage problems, low frequency, and rising power losses greater than transmission systems. Load shedding is one solution to these challenges and is widely regarded as the last choice for avoiding voltage collapse and outages caused by significant disturbances. The conventional approach to load shedding reduces loads without regard for their significance until the voltage of the network is enhanced. Shedding loads without taking priority into account will cause power interruptions in critical facilities. In this paper, PSO-ANN algorithm-based load shedding to improve the voltage and frequency of distribution networks. Furthermore, a multi-objective function is developed that takes into account the linear static voltage stability margin (VSM) and the amount of load reduction. The aim of the work is to obtain the optimal level of voltage stability and remaining load when implementing load shedding while maintaining the load priority of each bus in the distribution network. Using MATLAB software requirements, the proposed technique has been implemented for two scenarios (overload, line disconnection) of the IEEE 33 bus system. The results showed that the proposed technique is the most distinctive compared to the results of the voltage sensitivity method and the conventional approach.
Enhancing the generated power. Different conventional reconfiguration techniques can be used for this purpose like totalcross- tied (TCT), bridge-linked (BL), and series-parallel (SP) . . . etc. This article propose a new static reconfiguration technique named Row Odd Even reconfiguration (ROE) to increase the maximum power generated from PV array with the effect of partial shading condition. The proposed reconfiguration has been tested on a 3×22 PV array suggested to provide power to the department of electronic and communications engineering at Al-Nahrain University, Baghdad, Iraq. The results of the proposed reconfiguration are compared with the (SP, TCT, and Zig-zag) in terms of mismatch power losses (MPL), fill factor (FF), and efficiency (η) at the maximum generated power of PV array. In all cases, the performance of the new reconfiguration gave the best performance when compared with (SP, TCT, and Zig-zag). The new reconfiguration achieved an improvement in the maximum power point (MPP) and efficiency about 33%, 28% and 7% when compared with the (SP), (TCT) and (Zig-zag) reconfigurations respectively.
In this paper, a new method based on the combination of the Teaching-learning-based-optimization (TLBO) and Black-hole (BH) algorithm has been proposed for the reconfiguration of distribution networks in order to reduce active power losses and improve voltage profile in the presence of distributed generation sources. The proposed method is applied to the IEEE 33-bus radial distribution system. The results show that the proposed method can be a very promising potential method for solving the reconfiguration problem in distribution systems and has a significant effect on loss reduction and voltage profile improvement.
Correct calculations of losses are important for several reasons. There are two basic methods that can be used to calculate technical energy losses, a method based on subtraction of metered energy purchased and metered energy sold to customers and a method based on modeling losses in individual components of the system. For considering the technical loss in distribution system included: transmission line losses, power transformer losses, distribution line losses and low-voltage transformer losses. This work presents an evaluation of the power losses in Kirkuk electric distribution system area and submit proposals and appropriate solutions and suggestions to reduce the losses . A program under Visual Basic was designed to calculate and evaluate electrical energy losses in electrical power systems.