scholarly journals An Improved Particle Swarm Optimization Algorithm forOptimal Allocation of Distributed Generation Units in Radial Power Systems

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Neda Hantash ◽  
Tamer Khatib ◽  
Maher Khammash
Keyword(s):  
Power System ◽  
Electrical Power ◽  
Pso Algorithm ◽  
Active Power ◽  
Power Losses ◽  
Electrical Power System ◽  
Swarm Optimization ◽  
Inertia Weight ◽  
Elapsed Time ◽  
Active Power Losses

In this paper, an improved particle swarm optimization method (PSO) is proposed to optimally size and place a DG unit in an electrical power system so as to improve voltage profile and reduce active power losses in the system. An IEEE 34 distribution bus system is used as a case study for this research. A new equation of weight inertia is proposed so as to improve the performance of the PSO conventional algorithm. This development is done by controlling the inertia weight which affects the updating velocity of particles in the algorithm. Matlab codes are developed for the adapted electrical power system and the improved PSO algorithm. Results show that the proposed PSO algorithm successfully finds the optimal size and location of the desired DG unit with a capacity of 1.6722 MW at bus number 10. This makes the voltage magnitude of the selected bus equal to 1.0055 pu and improves the status of the electrical power system in general. The minimum value of fitness losses using the applied algorithm is found to be 0.0.0406 while the average elapsed time is 62.2325 s. In addition to that, the proposed PSO algorithm reduces the active power losses by 31.6%. This means that the average elapsed time is reduced by 21% by using the proposed PSO algorithm as compared to the conventional PSO algorithm that is based on the liner inertia weight equation.

scholarly journals Multi-objective optimal placement of distributed generations for dynamic loads

2019 ◽  
Vol 9 (4) ◽  
pp. 2303
Author(s):  
Shah Mohazzem Hossain ◽  
Abdul Hasib Chowdhury
Keyword(s):  
Power System ◽  
Active Power ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Power Losses ◽  
Long Distance ◽  
Utilization Factor ◽  
Distributed Generations ◽  
Multi Objective ◽  
Active Power Losses

<span lang="EN-US">Large amount of active power losses and low voltage profile are the two major issues concerning the integration of distributed generations with existing power system networks. High </span><em><span lang="EN-US">R</span></em><span lang="EN-US">/</span><em><span lang="EN-US">X</span></em><span lang="EN-US"> ratio and long distance of radial network further aggravates the issues. Optimal placement of distributed generators can address these issues significantly by alleviating active power losses and ameliorating voltage profile in a cost effective manner. In this research, multi-objective optimal placement problem is decomposed into minimization of total active power losses, maximization of bus voltage profile enhancement and minimization of total generation cost of a power system network for static and dynamic load characteristics. Optimum utilization factor for installed generators and available loads is scaled by the analysis of yearly load-demand curve of a network. The developed algorithm of N-bus system is implemented in IEEE-14 bus standard test system to demonstrate the efficacy of the proposed method in different loading conditions.</span>

Maximum Integration Capacity Analysis of Distributed Generator in Distribution Power System

2014 ◽  
Vol 672-674 ◽  
pp. 1032-1036
Author(s):  
Feng Zhou ◽  
Zai Lin Piao ◽  
Ke Yan Liu ◽  
Wan Xing Sheng ◽  
Jia Meng
Keyword(s):  
Power System ◽  
Stability Index ◽  
Pso Algorithm ◽  
Test System ◽  
Objective Functions ◽  
Multi Objective Optimization ◽  
Swarm Optimization ◽  
Distributed Generator ◽  
Inertia Weight ◽  
Network Losses

The integration of distributed generator (DG) will bring a series of influence in distribution power system. With the trend of a large number of DG penetration, researches on the maximum integration capacity of DG become a hot research topic. A multi-objective optimization model with objective functions of the maximum DG output, network losses and voltage stability index are formulated. Particle swarm optimization (PSO) algorithm is adopted with variable inertia weight to calculate the maximum DG output. IEEE 33-bus test system with DG units is taken as one example to compute the maximum integration capacity. The results show that the proposed method is reasonable and effective.

scholarly journals Enhancement transient stability of power system using UPFC with M-PSO

2020 ◽  
Vol 17 (1) ◽  
pp. 61
Author(s):  
Rashid H. AL-Rubayi ◽  
Luay G. Ibrahim
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Transient Stability ◽  
Electrical Power ◽  
Particle Swarm ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Modified Particle Swarm Optimization ◽  
Simulation Results ◽  
The Stability

<span>During the last few decades, electrical power demand enlarged significantly whereas power production and transmission expansions have been brutally restricted because of restricted resources as well as ecological constraints. Consequently, many transmission lines have been profoundly loading, so the stability of power system became a Limiting factor for transferring electrical power. Therefore, maintaining a secure and stable operation of electric power networks is deemed an important and challenging issue. Transient stability of a power system has been gained considerable attention from researchers due to its importance. The FACTs devices that provide opportunities to control the power and damping oscillations are used. Therefore, this paper sheds light on the modified particle swarm optimization (M-PSO) algorithm is used such in the paper to discover the design optimal the Proportional Integral controller (PI-C) parameters that improve the stability the Multi-Machine Power System (MMPS) with Unified Power Flow Controller (UPFC). Performance the power system under event of fault is investigating by utilizes the proposed two strategies to simulate the operational characteristics of power system by the UPFC using: first, the conventional (PI-C) based on Particle Swarm Optimization (PI-C-PSO); secondly, (PI-C) based on modified Particle Swarm Optimization (PI-C-M-PSO) algorithm. The simulation results show the behavior of power system with and without UPFC, that the proposed (PI-C-M-PSO) technicality has enhanced response the system compared for other techniques, that since it gives undershoot and over-shoot previously existence minimized in the transitions, it has a ripple lower. Matlab package has been employed to implement this study. The simulation results show that the transient stability of the respective system enhanced considerably with this technique.</span>

scholarly journals Full Probabilistic Characteristics of Power Losses in the Electrical Power System Branches

2020 ◽  
Vol 68 (3) ◽  
pp. 32-40
Author(s):  
Yuly BAY ◽  
Vladimir RUDNIK ◽  
Igor RAZZHIVIN ◽  
Anton KIEVETS ◽  
Mikhail ANDREEV
Keyword(s):  
Power System ◽  
Electrical Power ◽  
Power Losses ◽  
Electrical Power System

scholarly journals The Improvement of Electric Power Losses Using Bank Capacitor and Tap Changer With Shark Smell Algorithm

Teknik ◽  
2020 ◽  
Vol 41 (3) ◽  
pp. 212-218
Author(s):  
Radiktyo Nindyo Sumarno ◽  
Susatyo Handoko ◽  
Mochammad Facta
Keyword(s):  
Transmission Line ◽  
Power Flow ◽  
Planning Process ◽  
Electrical Power ◽  
Active Power ◽  
Trial And Error ◽  
Power Losses ◽  
Tap Changer ◽  
Active Power Losses

One way to optimize the transmission line is to reduce electrical power losses. Tap changers on power transformers and bank capacitors can be used to regulate the system voltage resulting in lower power losses in the transmission line. Determining the value of tap settings and bank capacitors in the planning process is challenging to do with certainty. It is generally carried out through a trial and error mechanism using the power flow method. Since the determination of tap settings and bank capacitors values is difficult to do with certainty, this research was carried out with optimization with the shark smell algorithm. Such optimization aims to get a more appropriate tap changer and capacitor bank change values on the IEEE 30-bus system. In this study, several optimizations were carried out, namely optimization of tap settings, optimization of bank capacitors, and tap setting optimization combined with bank capacitors' optimization. Conducting tap setting optimization, we obtained an active power loss of 0.65% from the condition without optimization. In optimizing bank capacitors, we reduce active power losses of 0.90% compared to conditions without optimization. In optimizing the combination of tap setting and bank capacitors, the active power losses are reduced by 1.23%. Comparing the results of all these optimizations shows that the combination of bank tap setting and capacitor optimization is obtained by reducing the most active power losses. In this study, the reduction of active power losses resulted in 217.2 kW. The results show that the Shark Smell algorithm can provide better optimization results of 1.23% compared to conditions without optimization based on the test value.

scholarly journals SRF based Shunt Active Power Filter Integrated with Microgrid for Harmonics Mitigation

2019 ◽  
Vol 8 (12) ◽  
pp. 869-874
Keyword(s):  
Power System ◽  
Distribution System ◽  
Electrical Power ◽  
Harmonic Distortion ◽  
Active Power Filter ◽  
Active Power ◽  
Electrical Power System ◽  
Shunt Active Power Filter ◽  
Current Harmonics ◽  
Power Filter

“The increased penetration of Distributed Energy Resources (DER) is inspiring the entire design of conventional electrical power system. “A Microgrid (MG) includes distributed generation, loads, energy storage, and a control system that is competent of working in grid-connected mode and/or islanded mode. Power quality (PQ) problems are one of the major technical challenges in MG power system. To get better PQ of energy supply, it is essential to analyze the harmonics distortion of the system. Moreover, harmonic distortion in a MG networks has significantly reduced PQ, which affects the stability of the system. In order to diminish the harmonics, shunt active power filter (SAPF) has been extensively useful and it is verified to be the best solution to current harmonics. The present paper proposes the mitigation of harmonics of a MG system using shunt active power filter (SAPF). However, the SAPF is employed for reimbursing the harmonics concurrently in the distribution system. The proposed model is developed in MATLAB/Simulink and the result obtained validates the superiority of proposed technique over others in terms of harmonics elimination.”

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