Hybrid optimization implemented for distributed generation parameters in a power system network

Nayanatara, C.; Baskaran, J.; Kothari, D.P.

doi:10.1016/j.ijepes.2015.11.117

Cited by 41 publications

(28 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dept, NIT, Durgapur, WB, India, Aashish Kumar Bohre, Electrical Engg. Dept., NIT, Durgapur, WB, India, functions based approach to optimize multiple DGs is presented in [3][4][5]. Different methods to plant DG effectively in the distribution system including high penetration level are proposed in [6][7][8][9].…”

Section: Revised Manuscript Received On July 22 2019mentioning

confidence: 99%

Determining Optimal Size and Placement of Renewable DG Considering Variation of Load

2019

ijrte

View full text Add to dashboard Cite

An advance algorithm to decide optimal size and place of renewable DG by applying adaptive particle swarm optimization (A-PSO) technique is reported in this work. A multiobjective function has been proposed to improve voltage profile, maximize economic benefit and reduction in active power losses. This work includes renewable energy sources based distributed generation (DG) technique like solar and biomass DGs. The time variations characteristics for solar DG and load have been considered in the system. Due to the problem of easily get trapped into local optima, particle Swarm optimization (PSO) may not be able to solve complex power system problems. Hence, APSO with variable weight function has been used in this work. The implementation of proposed technique has been presented for practical 94-bus portuguese radial distribution system. Simultaneous placement of both renewable DGs provides maximum benefits. The comparison between proposed and existing techniques have been presented which confirms that the suggested technique gives the superior result

show abstract

Section: Revised Manuscript Received On July 22 2019mentioning

confidence: 99%

Determining Optimal Size and Placement of Renewable DG Considering Variation of Load

2019

ijrte

View full text Add to dashboard Cite

show abstract

“…The converter is providing real power to local needs and supplying reactive power for voltage stabilization [5]. While, with DG type will have a significant solution on power system quality.…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system

Samala

Kotapuri

2020

SN Appl. Sci.

View full text Add to dashboard Cite

In this concept, an enhanced idea is proposed for solving the optimal load flow issues with uncertainties. In this article the Fuzzy Logic Controller (FLC) technique and Ant-Lion Optimization Algorithm's (ALOA) with Particle Swarm Optimization (PSO) based combination is proposed. The ALO imitates the hunting mechanism of ant lions in nature and the PSO improves the ALO performance by updating elitism phase of ALO. The FLC is trained based on training dataset and testing time which produces the optimal allocation parameters are based on the variation of radial distribution network parameters. In this projected hybrid algorithm, Photo-Voltaic and Wind Turbine generations (PV and WT) are considering as Distributed Generators (DGs). Initially, after defining the multi objective function, then about voltage deviation, minimization of power loss and improvement of voltage stability index is discussed. The minimization of cost of operation and deviation of voltage indexes are considered as multi objective functions and the projected technique is evaluate on IEEE 33 standard radial distribution systems. With new hybrid technique, allocation of multi-DGs like wind and PV at different sites, and the optimal load flow at various cases is analyzed.

show abstract

“…If the deviation occurs in any other direction it won't consider as a fault. [6]In this paper they implemented the hybrid genetic algorithm to maintain the transient stability of the Distribution generator. and they have compared this algorithm with Genetic algorithm, they proposed this method provides the DG maximum production of generation but the cost is high.…”

Section: Iintroductionmentioning

confidence: 99%

Overcurrent and Earthfault Relay Coordination for Microgrid with Numerical Relay Features

Nayanatara,

Shanmugapriya*,

Baskaran

et al. 2020

IJITEE

View full text Add to dashboard Cite

This Paper deals with the Relay Coordination for microgrids by considering the symmetrical and unsymmetrical faults. A microgrid is an active distribution system in which the renewable energy sources and loads connected to feeders operate parallel or autonomously from the main power grid. In a microgrid, Overcurrent relays can be used as the protection device. When there is changeover from grid connected to islanded mode or disconnection of DG will lead to variation in short circuit current. So, the relay may fail to operate or there will be delay in operation. Relay Coordination is done on the basis of load flow and short circuit analysis. Simulation is done using the ETAP (Electrical Transient and Analysis Program) Software by taking the 9 bus 18 node system.

show abstract

Hybrid optimization implemented for distributed generation parameters in a power system network

Cited by 41 publications

References 23 publications

Determining Optimal Size and Placement of Renewable DG Considering Variation of Load

Determining Optimal Size and Placement of Renewable DG Considering Variation of Load

Optimal allocation of distributed generations using hybrid technique with fuzzy logic controller radial distribution system

Overcurrent and Earthfault Relay Coordination for Microgrid with Numerical Relay Features

Contact Info

Product

Resources

About