SIMULTANEOUS RECONFIGURATION AND DG ALLOCATION USING GENETIC ALGORITHM, SLAP SWARM ALGORITHM AND DOLPHIN ECHOLOCATION OPTIMIZATION ALGORITHM
In a distribution network timely varying load demand makes the operation and control more complex mostly in the high load density zones. The power loss of a distribution network will not be minimum with varying load demand for a fixed configuration of the network. Hence, timely reconfiguration of the network is required. Most of work focused on either Distributed Generation (DG) allocation or network reconfiguration for enhancing distribution network performance. However, simultaneous network reconfiguration and DG allocation in the distribution network have been done by very few researchers. This Matlab design proposes the use of three optimization algorithm i.e Genetic Algorithm (GA), Slap Swarm Algorithm(SSA) and Dolphin Echolocation Optimization(DEO) Algorithm for solving network reconfiguration and DG allocation problem. The major objective of this design is minimization of power loss and voltage deviation.The objective function for the minimization of power loss can be expressed as follows,
Minimize Objective=
To assess the performance five different scenarios considered are:
1. Only reconfiguration,
2. Only DG allocation,
3. DG allocation after reconfiguration,
4. Reconfiguration after DG allocation and
5. Simultaneous reconfiguration and DG allocation.
The design is tested on IEEE-33,69 and and 119 distribution systems. The simulation video shows the performance of the design.
Reference Paper-1: Optimal Reconfiguration and Renewable Distributed Generation Allocation in Electric Distribution Systems
Author’s Name: Kola Sampangi Sambaiah and T. Jayabarathi
Source: International Journal of Ambient Energy
Year:2019
Reference Paper-2: A new optimization method: Dolphin echolocation
Author’s Name: Daranpob Yodphet,Arun Onlam and Rongrit Chatthaworn
Source: Elseiver
Year:2012
Reference Paper-3: Network reconfiguration and capacitor placement for power loss reduction using a combination of Salp Swarm Algorithm and Genetic Algorithm
Author’s Name: A. Kaveh and, N. Farhoudi
Source: International Journal of Engineering Research and Technology.
Year:2018
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SIMULATION VIDEO DEMO-Genetic Algorithm
SIMULATION VIDEO DEMO-Slap Swarm Algorithm
SIMULATION VIDEO DEMO-Dolphin Echolocation
SIMULATION VIDEO DEMO-Comparsion of 3 Optimization Algorithm
