Reconfiguration of distribution network with DG using fuzzy multi-objective method

Syahputra, Ramadoni; Robandi, Imam; Ashari, Mochamad

doi:10.1109/icimtr.2012.6236410

Cited by 26 publications

(18 citation statements)

References 15 publications

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“…A case study shows the effectiveness of the algorithms and operation strategies of an automated distribution system with DG as a real-time operation tool [8].To achieve the minimum active power loss and the maximum voltage magnitude of radial distribution networks with distributed generations, a fuzzy multi-objective approach was presentedas reconfiguration methodology [9].The Tabu search algorithm is employed to determine the optimal network reconfiguration of load balancing with low computational effort and good quality configurations [10]. A radial 69-bus system with distributed generations and capacitor placement was tested to find the best network reconfiguration involving the balancing of feeder loads while respecting all the constraints.…”

Section: Effect Of Dg On Reconfiguration and Load Balancementioning

confidence: 99%

Simulation approach to improve power analysis network for integration of distributed generation

Ahmed

Nichita

2014

2014 International Conference and Exposition on Electrical and Power Engineering (EPE)

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The capability of the classical network to support the level penetration of Distribution Generation (DG) has been present to analysis how to achieve a better integration of flexible demand of Electrical Networks(Mesh and Radial systems). Based on this analysis, two simulation algorithms have been proposed to reduce CPU time and memory, can help the grid operator to assess power situation and increase penetration level of DG.Firstly, It deals with an algorithm developed for power load flow studies in electrical power systems using Schur complement method. By dividing Jacobian matrix into two separated matrices with reasonable computation time, It could be avoided divergence of the solution. A next step that was applied concerned Data Compression for the Simulated algorithms conceived to study load flow calculation in electrical power systems. Real time monitor of grids required less computation time in calculation of power system analysis. It proposed an algorithm based on Run Length Encoding (RLE) method where no zero values are included. Matlab results obtained by applying these algorithms match the analytical approaches. Results have been compared with Newton Raphson and Fast Decoupled methods in term of influence of convergence properties and it's efficiency. These methods have been implemented and tested on several IEEE bus test systems.

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Section: Effect Of Dg On Reconfiguration and Load Balancementioning

confidence: 99%

Simulation approach to improve power analysis network for integration of distributed generation

Ahmed

Nichita

2014

2014 International Conference and Exposition on Electrical and Power Engineering (EPE)

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“…Sanches et al [16] proposed Node-Depth Encoding with recombination for multi-objective evolutionary algorithm to solve loss reduction problem in large-scale distribution systems. Syahputra et al [17] used fuzzy multi-objective method to solve reconfiguration and a heuristic technique is used to find the optimal configuration which generates a solution which depends upon the original configuration. Ahmad et al [18] proposed multi-objective quantum-inspired Artificial Immune System (AIS) approach for ONR in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Invasive Weed Optimization – An application to optimal network reconfiguration in radial distribution systems

Rani

Subrahmanyam

Sydulu

2015

International Journal of Electrical Power & Energy Systems

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“…The steam turbine is a prime mover that converts steam potential energy into kinetic energy and then is converted into mechanical energy in the form of turbine shaft rotation [11]. Therefore, the steam turbine must be protected from all possible causes of disturbances and abnormal conditions that occur, both interference originating from the steam turbine itself or interference or abnormal conditions originating from other parts of the electric power system [12]- [14].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Performance of Synchronous Generator in Steam Power Plant

Syahputra¹,

Nugroho²,

Purwanto³

et al. 2019

IJACSA

Self Cite

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This paper presents dynamic performance of synchronous generator in steam power plant. Steam power plants are the most popular power plants to date. Until the end of 2018, 48.43% of the total installed capacity of power plants in Indonesia is this type of power plant. The largest steam power plant in Indonesia is in Paiton, Probolinggo, East Java, which is the object of this research. In its operation, the generator in this generator experiences dynamics as electricity load changes. This study discusses the analysis of the performance of synchronous generators to changes in electrical load. The analysis includes the voltage, active power, reactive power, power factor, and generator efficiency variables. The results showed that the generator performance remained good despite serving a very dynamic electricity load.

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Reconfiguration of distribution network with DG using fuzzy multi-objective method

Cited by 26 publications

References 15 publications

Simulation approach to improve power analysis network for integration of distributed generation

Simulation approach to improve power analysis network for integration of distributed generation

Multi-Objective Invasive Weed Optimization – An application to optimal network reconfiguration in radial distribution systems

Dynamic Performance of Synchronous Generator in Steam Power Plant

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