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

Abstract

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.

Optimal Location and Sizing of Distributed Generators Based on Renewable Energy Sources Using Modified Moth Flame Optimization Technique

“…A combined method of an intelligent water drop (IWD) and hybrid (GA) were proposed in [23] to determine the size and location of DGs in micro-grid for increasing voltage stability, reduce network losses and improve voltage profile. A hybrid fuzzy logic controller technique and ant-lion optimization algorithmŠs with particle swarm optimization based combination is proposed in [24] to solve the optimal allocation of distributed generations in a radial distribution network to minimize the total cost of operation and deviation of voltage indexes. In [25] at different load levels, the objective function to find optimal location and sizing of DGs is reducing real and reactive power losses which solved by using biogeography-based optimization (BBO) algorithm.…”

A new meta-heuristic pathfinder algorithm for solving optimal allocation of solar photovoltaic system in multi-lateral distribution system for improving resilience

“…In [ 11 ], multi-objective whale optimization algorithm (MOWOA) and analytical hierarchy process (AHP) is proposed for solving multi-objective optimization problem formulated for renewable DG allocation in multi-type consumers connected distribution system towards minimizing the real power loss index, voltage stability index and cost benefits. In [ 12 ], the elitism phase of ant lion optimization (ALO) is updated using PSO, and fuzzy logic controller (FLC) is proposed to minimize the error criterion. The hybrid approach is used to find optimal rating and location of renewable DGs in IEEE 33-bus system for minimizing loss, operating cost, voltage deviation and inverse of voltage stability index.…”

“…In most of the works, the DG sizes are constrained by a capacity limit [ 7 – 9 , 11 – 13 , 15 , 22 – 24 , 26 ] and locations are limited for predefined candidate buses using different sensitivity indices [ 8 , 10 , 14 , 16 – 19 ] and randomly selected [ 18 ]. In some other works, the DG sizes are unconstrained (but the sum of their total capacities should not be more than total system demand), and all buses in the network are considered as search space for locations [ 6 , 12 , 19 – 21 ]. On the other hand, identification of appropriate branches for opening and tie-lines for closing is additional search space in simultaneous OADG and ONR problem.…”

Optimal allocation of biomass distributed generation in distribution systems using equilibrium algorithm

“…The integration of clean energy is accompanied in driving down the cost of these resources such as biomass distributed generation units (BDGs). There are various benefits of installing the distributed generations (DGs) with their several types and characteristics which can be categorized into economic, technical, and environmental benefits 1‐23 . Economically, DG avoids the costs of installing new transmission circuits and power generation plants.…”