Optimal Distributed Generation placement in distribution network

Vukobratović, Marko; Hederić, Željko; Hadžiselimović, Miralem

doi:10.1109/energycon.2014.6850572

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…The presence of the DG changes the power flow and load characteristics of the electrical grid. With the connection of the DG, the passive distribution network becomes active and power flow changes significantly (Vukobratović et al, 2014).…”

Section: The Main Textmentioning

confidence: 99%

Protection Coordination for Wind Farm Integration in the Kosovo Transmission System

Ymeri,

Krasniqi,

Shaqiri

2023

Ecol. Eng. Environ. Technol.

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The implementation of wind power generators into transmission system presents several challenges related to protection schemes, particularly in the areas of relay protection and overcurrent protection. This paper provides an overview in the impact of connecting wind power generators to the transmission system and discusses the key considerations for designing effective relay and overcurrent protection strategies. Intensive analysis was conducted on multiple scenarios involving critical short-circuits, occurring at different nodes within the system, specifically focusing on three-phase current. The situation where the circuit breaker is disconnected after the relay protection was activated, ensuring the protection of high voltage equipment, was also examined. Without proper protection coordination, the selectivity, reliability and sensitivity of the protection system can be compromised. In this paper, a comprehensive protection coordination strategy was developed for the new substation 35/10 kV in Koznica. The use of system simulation techniques, such as employing (Electrical Transient Analyser Program (ETAP) software, can be an effective way to validate the performance and functionality of a system protection. In all simulated scenarios, the analysis identified the circuit breakers that were activated in response to short-circuit faults. This approach ensured the reliability and accuracy of the coordination scheme, thereby enhancing the overall performance and resilience of the system.

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Section: The Main Textmentioning

confidence: 99%

Protection Coordination for Wind Farm Integration in the Kosovo Transmission System

Ymeri,

Krasniqi,

Shaqiri

2023

Ecol. Eng. Environ. Technol.

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“…BP ANN has an obligatory input layer, a mandatory output layer, and at least one hidden layer which comprises the largest number of neurons. Numbers of hidden layers are theoretically infinite but usually one to four layers is adequate to solve any kind of complex problems [9].…”

Section: Artificial Neural Network Design and Implementationmentioning

confidence: 99%

“…Each position in a string is presumed to represent a particular feature of an individual in a population, DG power and location in this case. Feature evaluation is determined by values stored in particular positions in coding [9]. Advanced approach to problem coding and formulation, such as tree encoding, could be applied if results are not satisfactory.…”

Section: Optimal Solution Findingmentioning

confidence: 99%

Untitled

2016

Teh. vjesn.

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Original scientific paper The paper analyzes the possibility of reducing active power losses in power system, constrained by regulated voltage levels, by implementing appropriate distributed generation capacity. The objectives of this paper were achieved by developing hybrid methods based on artificial neural network and genetic algorithm. Methods have been developed to determine the impact of different distributed generation power on all terminals in the observed system. The method that uses artificial neural network and genetic algorithm is applicable for radial distribution networks, and method using load flow and genetic algorithm is applicable to doubly-fed distribution network. For comparison purposes, additional method was developed that uses neural networks for the decision-making process. Data for training the neural network was obtained by power flow calculation in the DIgSILENT PowerFactory software on a part of Croatian distribution network. The same software was used as an analytical tool for checking the correctness of solutions obtained by optimization. Keywords: artificial neural networks; distributed generation; genetic algorithm Kontrola naponskih prilika i gubitaka snage korištenjem distribuirane proizvodnje i računalne inteligencijeIzvorni znanstveni članak U radu se analizira mogućnost smanjenja aktivnih gubitaka elektroenergetskog sustava, uz poštivanje propisanih naponskih razina, primjenom odgovarajućih kapaciteta distribuirane proizvodnje. Ciljevi ovog rada ostvareni su razvojem hibridnih metoda baziranih na umjetnim neuronskim mrežama i genetskom algoritmu. Razvijene su metode za određivanje utjecaja distribuirane proizvodnje različitih snaga na svim čvorovima u promatranom sustavu. Metoda koja koristi umjetnu neuronsku mrežu i genetski algoritam primjenjiva je za radijalne distributivne mreže, a metoda koja koristi proračun tokova snaga i genetski algoritam primjenjiva je za dvostruko napajane distributivne mreže. S ciljem usporedbe razvijena je i metoda koja koristi neuronske mreže za proces odlučivanja o najboljem rješenju. Podaci za učenje neuronske mreže dobiveni su proračunom tokova snaga u programskom alatu DIgSILENT PowerFactory i to na djelu hrvatske distributivne mreže. Isti programski alat se koristi analitički kao sredstvo provjere ispravnosti rješenja dobivenih optimizacijom.

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“…With the increased loading and exploitation of the existing power structure, the probability of occurrence of voltage collapse are significantly greater than before and the identification of the nodes which are prone to the voltage fluctuations have attracted more attention for the transmission as well as the distribution systems. For operating a power system in a safe and secure manner, all unsecure operating states can be identified and DG placement can be done, in order to enhance the voltage stability margin [2]. Many researchers have introduced different DG placement algorithms using analytic or heuristic approaches.…”

Section: Introductionmentioning

confidence: 99%

Optimal DG Placement using Multi Objective Firefly Optimization with Eco-Technical Considerations

Kumar¹,

Kumar²

2015

International Journal of Innovative Research in Electrical, Ele

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Abstract:The first contribution of this paper is to present three alternative analytical expressions to identify the location, size and power factor of a single DG unit with a goal of minimizing power losses. These expressions are easily adapted to accommodate different types of renewable DG units for minimizing energy losses by considering the time-varying demand and different operating conditions of DG units. Second objective is to minimize the cost of plantation of renewable energy source at the buses with high losses. This cost also must be minimized in coordination with losses minimization. A meta heuristic algorithm, firefly optimization is used for this purpose. Results are compared with the other metaheuristic algorithm, widely used in literature, particle swarm optimization (PSO).Comparative results in form of losses and voltage profile improvement shows effectiveness of our algorithm. Keywords: Distributed Generation, Firefly Optimization, PSO I. INTRODUCTIONDistributed Generation plays a vital role in the electric power system due to increased availability of small capacity generation technologies [1]. DG installations require special studies and attention to help maintaining system reliability and performance. Optimal allocation of DG effectively reduces the operational cost and increases the reliability and quality of power supply and also cuts down the power and energy losses. DG has significant impact on the voltage profile of the system. Voltage profile is defined as the change in the voltage of the system as the load changes. With the increased loading and exploitation of the existing power structure, the probability of occurrence of voltage collapse are significantly greater than before and the identification of the nodes which are prone to the voltage fluctuations have attracted more attention for the transmission as well as the distribution systems. For operating a power system in a safe and secure manner, all unsecure operating states can be identified and DG placement can be done, in order to enhance the voltage stability margin [2]. Many researchers have introduced different DG placement algorithms using analytic or heuristic approaches. Only a few works have been concentrated on optimizing the effect DG in voltage stability improvement. A method of finding a continuum of power flow solutions starting at some base load and leading to the steady state voltage stability limit of the system was presented in [3]. A method for DG placement in radial distribution networks which uses CPF to identify the most sensitive bus to voltage collapse has been applied in [4]. Voltage stability analysis of large power systems using a modal analysis technique was proposed in [5], which gives the idea about the proximity to voltage collapse. In [6] optimal DG allocation has been identified which is based on the modal analysis and compared the effectiveness of the method to the CPF method. The determination of maximum loading is one of the most important problems in voltage-stability analysis that cannot be ca...

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Optimal Distributed Generation placement in distribution network

Cited by 6 publications

References 17 publications

Protection Coordination for Wind Farm Integration in the Kosovo Transmission System

Protection Coordination for Wind Farm Integration in the Kosovo Transmission System

Untitled

Optimal DG Placement using Multi Objective Firefly Optimization with Eco-Technical Considerations

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