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The question of how energy storage can be used efficiently and effectively in distribution networks is open and ongoing. This work explores optimal allocation of battery energy storage systems (BESS) in distribution networks to maximize their support in integrating high penetration solar photovoltaics (PV). A genetic algorithm (GA)-based multi-layer multi-objective optimization model is developed...
An algorithm to optimize distributed generation allocation in a long-term planning problem to purposely enhance hourly voltage profile is presented. This algorithm deploys an hourly optimal operation to fit the long-term planning problem. It requires the consideration of several operational factors both explicitly or as a byproduct. The complexity level of the problem and the degree of representation...
Limitation of fossil fuels and the environmental constraints established by the Kyoto Protocol and other governmental initiatives caused the allocation of distributed generation (DG) to be a vital pillar in power system planning. Improper selection of the sizing and siting of DG systems can reduce their advantages. Network reconfiguration problem is to find a best configuration of distribution systems...
Increase in installation and integration of various small scale power generation technologies into the electrical grid has directed the attention of many researchers to the impact these sources can have on the performance of grid. Optimal location and sizing reduces network losses and also contributes to voltage profile improvement. This paper presents a comparative analysis of three Particle swarm...
This paper presents the application of a genetic algorithm (GA) in conjunction with a Minimal Spanning Tree (MST) algorithm, in order to allocate jointly capacitors and distributed generation to improve the operation of electrical energy systems. An appropriate selection of the fitness function provides a solution that is able to reduce power losses. Simulations on an IEEE benchmark demonstrate the...
This paper presents a methodology for efficient allocation of distributed generation units (DG), based on the genetic algorithm of Chu-Beasley. This algorithm presents good performance and obtains accurate solutions solving the allocation DG problem when used in distribution systems of small and medium size. The proposed methodology was compared with an exhaustive search algorithm. The results shown,...
This paper presents an application of Firefly Algorithm (FA) in determining the optimal location and size of Distributed Generation (DG) in distribution power networks. FA is a meta-heuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. In this paper, IEEE 69-bus distribution test...
Optimal placement of distributed generation (DG) units and proper allocation of parking lots, providing vehicle-to-grid (V2G) power, in order to reduce loss in distribution networks is studied in this paper. The objective function containing active and reactive power indices is minimized using genetic algorithm. Power flow is done utilizing backward-forward sweep method. Finally, simulation is carried...
One of the remarkable phenomena in power systems is the appearance of Distributed Generation (DGs). DGs may reduce the number and/or duration of interruptions for customer residing within their protection zones. DGs also can improve losses and voltage profile of system. In this paper a composition of Genetic algorithm (GA) and Analysis Hierarchical Process (AHP) are presented. The proposed algorithm...
Optimal placement of distributed generation (DG) units and proper allocation of shunt capacitors in order to loss reduction and improvement of voltage profile in distribution systems are studied in this paper. The objective function which has three important indices (active and reactive power losses and voltage profile) is minimized using genetic algorithm. Power flow is done using backward forward...
Optimal switching device placement is of vital importance for distribution networks' planning and operation. The combination of distributed generation (DG) and main networks is considered a principle way that could reduce investment outlay, lower the energy depletion and improve reliability of distribution systems. At present, all the study on DG impact on reliability of distribution systems is negative...
This Distributed generations (DGs) represent an efficient option for overcoming problems and challenges of power utilities like loss reduction, load growth, reliability improvement and green house gas effect reduction. Appropriate sitting and sizing of DGs play a remarkable role on loss reduction. In this paper a new effective method for DG allocation is proposed that has more ability for loss reduction...
This paper proposed the new method to carry out the optimized allocation of the protection devices to improve SAIFI based on the current placement of devices. Genetic algorithm (GA) is used to optimize the objective function. Advantages of the method used in this paper are minimal risk to change the protection devices, cost minimization of change the location of the devices and system reliability...
Intensive use of Distributed Generation (DG) represents a change in the paradigm of power systems operation making small-scale energy generation and storage decision making relevant for the whole system. This paradigm led to the concept of smart grid for which an efficient management, both in technical and economic terms, should be assured. This paper presents a new approach to solve the economic...
This paper presents a contingency analysis study of Embedded Generation (EG) deployment in distribution network. It is expected of increasing amounts of EG that will be connected to power system distribution in the near future. Due to advances of technology and deregulation in the power market, EG is expected to become more cost effective energy sources that open the opportunity of exploiting renewable...
The Optimal sizing and placement of distributed generators has received considerable attention from researchers recently. This paper presents an extensive review of the different solution methods found in the literature and is intended as a guide for those interested in the problem or intending to do additional research in the area. The assumptions made and a brief description of the solution methods...
The optimal allocation of emergency power supplies should consider the distribution of existing distributed generators, capacity of existing emergency power suppliers in each local district utility and important customers' needs for emergency power supplies. Based on the relationship between power supply reliability and economy, the optimum model of emergency power supplies has been proposed in this...
This paper deals with the important task of finding the optimal siting and sizing of distributed generation (DG) units for a given distribution network so that the cost of active and reactive power generation can be minimized. The optimization technique is based on genetic algorithm (GA) and optimal power flow (OPF) calculations. Using the suggested technique of this paper, the search space of GA...
This paper presents a method for optimal allocation of distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for loss reduction in distribution network. Ant colony search algorithm (ACSA) was used as solving tool. ACSA is inspired from the natural behaviour of the ant colonies on how they find the food source and bring them back to...
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