scholarly journals Optimal Allocation of Electric Power Distributed Generation on Distributed Network Using Elephant Herding Optimization Technique

2018 ◽  
Vol 15 (1) ◽  
pp. 73-79 ◽  
Author(s):  
R Vijay ◽  
Keyword(s):  
Electric Power ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Optimization Technique ◽  
Distributed Network

scholarly journals Optimal Allocation of Large-Capacity Distributed Generation with the Volt/Var Control Capability Using Particle Swarm Optimization

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3112
Author(s):  
Donghyeon Lee ◽  
Seungwan Son ◽  
Insu Kim
Keyword(s):  
Particle Swarm Optimization ◽  
Electric Power ◽  
Distributed Generation ◽  
Optimal Allocation ◽  
Power Grid ◽  
Particle Swarm ◽  
Renewable Energy Resources ◽  
Swarm Optimization ◽  
Large Capacity ◽  
Electric Power Grid

Widespread interest in environmental issues is growing. Many studies have examined the effect of distributed generation (DG) from renewable energy resources on the electric power grid. For example, various studies efficiently connect growing DG to the current electric power grid. Accordingly, the objective of this study is to present an algorithm that determines DG location and capacity. For this purpose, this study combines particle swarm optimization (PSO) and the Volt/Var control (VVC) of DG while regulating the voltage magnitude within the allowable variation (e.g., ±5%). For practical optimization, the PSO algorithm is enhanced by applying load profile data (e.g., 24-h data). The objective function (OF) in the proposed PSO method considers voltage variations, line losses, and economic aspects of deploying large-capacity DG (e.g., installation costs) to transmission networks. The case studies validate the proposed method (i.e., optimal allocation of DG with the capability of VVC with PSO) by applying the proposed OF to the PSO that finds the optimal DG capacity and location in various scenarios (e.g., the IEEE 14- and 30-bus test feeders). This study then uses VVC to compare the voltage profile, loss, and installation cost improved by DG to a grid without DG.

scholarly journals Power quality enhancement by using D-FACTS systems applied to distributed generation

2019 ◽  
Vol 10 (1) ◽  
pp. 330
Author(s):  
Si Zegnoun Ahmed ◽  
Mohammed Nasser Tandjaoui ◽  
Mokhtar Djebbar ◽  
Chellali Benachaiba ◽  
B. Mazari
Keyword(s):  
Renewable Energy ◽  
Electric Power ◽  
Distributed Generation ◽  
Renewable Resources ◽  
Global Network ◽  
Quality Enhancement ◽  
Distributed Network ◽  
Diesel Generator ◽  
Principal Source ◽  
Electrical Supply

<p>In the majority of the isolated areas, the diesel generator is the principal source of electric power. For these areas, the price of extension of the electrical supply network is prohibitory and the price of fuel increases radically with insulation. The continuous fall in the prices of the generators based on renewable energy and the increasing reliability of these systems led to a greater use of the sources of renewable energy for the generation of electric power in the isolated areas. The diesel generators can incorporate in a network with other sources in base of renewable energies in order to create a new network known as distributed network. More recently intermittent renewable resources such as the wind power were considered as a distributed generation which is seen as being deployed to reduce the total emissions. The distributed generation equipment sets causing electric disturbances result in destabilizing the global network as well as pollutant, for these reason, system D-FACTS comes to answer all the concern of the customers, manufacturers, suppliers and the managers of the distributed network<em>.</em></p>

scholarly journals Hybrid Optimization for Optimal Distributed Generation Unit Placement in Radial Distribution System

2020 ◽  
Vol 9 (3) ◽  
pp. 1971-1978
Keyword(s):  
Power System ◽  
Electric Power ◽  
Distributed Generation ◽  
Radial Distribution ◽  
Distribution System ◽  
Optimization Technique ◽  
Hybrid Optimization ◽  
Radial Distribution System ◽  
And Control ◽  
Generation Unit

In recent years, the demand for electric power is growing at a faster rate. This makes present time power system into a more composite one in structure and in terms of placing utility elements, operation, maintenance and control of power system to deliver the electric power to customers. To satisfy the demand for electricity is necessitate more generating units nearer to customer points and need of proper operational planning. The power loss is a major concern towards distribution system performance. Hence, minimization of losses in the system is a major consideration. The distributed generation plays significant role in satisfying the need for electricity demand and also helps in minimization of system losses by adopting intelligent algorithm technique. Among all its advantages, power losses, voltage enhancement and cost benefits are the prime areas of study in distributed generation units. So, placing and allocation of distributed generation acquire more attention towards distribution system. In this paper, an intelligent hybrid optimization technique is proposed for optimal distributed generating unit for minimizing the losses in radial distribution system. The proposed optimization technique is implemented for IEEE 33-bus system radial distribution system. The obtained simulated results provide the good applicability and enhancement in execution of the proposed hybrid method.

scholarly journals Optimal Allocation of Multiple Types of Distributed Generations in Radial Distribution Systems Using a Hybrid Technique

2021 ◽  
Vol 13 (12) ◽  
pp. 6644
Author(s):  
Ali Selim ◽  
Salah Kamel ◽  
Amal A. Mohamed ◽  
Ehab E. Elattar
Keyword(s):  
Power System ◽  
Radial Distribution ◽  
Distribution Systems ◽  
Optimal Allocation ◽  
Optimization Technique ◽  
Mathematical Formulation ◽  
Optimization Techniques ◽  
Sensitivity Factor ◽  
Hybrid Technique ◽  
Analytical Technique

In recent years, the integration of distributed generators (DGs) in radial distribution systems (RDS) has received considerable attention in power system research. The major purpose of DG integration is to decrease the power losses and improve the voltage profiles that directly lead to improving the overall efficiency of the power system. Therefore, this paper proposes a hybrid optimization technique based on analytical and metaheuristic algorithms for optimal DG allocation in RDS. In the proposed technique, the loss sensitivity factor (LSF) is utilized to reduce the search space of the DG locations, while the analytical technique is used to calculate initial DG sizes based on a mathematical formulation. Then, a metaheuristic sine cosine algorithm (SCA) is applied to identify the optimal DG allocation based on the LSF and analytical techniques instead of using random initialization. To prove the superiority and high performance of the proposed hybrid technique, two standard RDSs, IEEE 33-bus and 69-bus, are considered. Additionally, a comparison between the proposed techniques, standard SCA, and other existing optimization techniques is carried out. The main findings confirmed the enhancement in the convergence of the proposed technique compared with the standard SCA and the ability to allocate multiple DGs in RDS.

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