OPTIMAL LOCATION AND SIZING OF DG USING MULTI OBJECTIVE PARTICLE SWARM OPTIMIZATION AND BINARY PSO
This project is design based on the paper "Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints". The capacity of distributed generation (DG) connected in distribution networks is increasing, largely as part of the drive to connect renewable energy sources. The voltage step change that occurs on the sudden disconnection of a distributed generator is one of the areas of concern for distribution network operators in determining whether DG can be connected, although there are differences in utility practice in applying limits. To
explore how voltage step limits influence the amount of DG that can be connected within a distribution network, voltage step constraints have been incorporated within an established optimal power flow (OPF) based method for determining the capacity of the network to accommodate DG. The analysis shows that strict voltage step constraints have a more significant impact on the ability of the network to accommodate DG than placing the same bound on voltage rise. Further, it demonstrates that progressively wider step change limits deliver a significant benefit in enabling greater amounts of DG to connect. This project attempts to minimize losses and at the same time maintain acceptable voltage profiles in a radial distribution system. Distributed generation (DG) is a hot topic due to the ever-increasing demands for electrical energy. The distribution network to be used is the UK EHV1 network. There are two objective functions for the problem.
Constraints include,
Minimize energy losses (using power loss from newton raphson load flow)
Maximize DG capacity
Bus Voltage Constraints
Flow limit constraints for lines and transformers
Periodic variation of load and DG generation
Kirchoff Voltage law
Kirchoff current law
Multi-Objective Particle Swarm Optimization (MOPSO) and Binary Particle Swarm Optimization (BPSO) is designed using Matlab. Generate a Pareto front of the two objective functions and determine optimal capacity and location considering 11KV buses and 33KV buses.
Refer “Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints” file for formulation.
Reference Paper:1 Network Distributed Generation Capacity Analysis Using OPF With Voltage Step Constraints
Author’s Name: Chris J. Dent, Luis F. Ochoa, and Gareth P. Harrison
Source: IEEE
Year: 2010
Reference Paper:2 Distribution Network Management System: An AC OPF Approach
Author’s Name: Sahban W. Alnaser, and Luis F. Ochoa
Source: IEEE
Year: 2013
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SIMULATION VIDEO DEMO
