The power generation in case of DG can be either renewable (like wind, solar, micro hydro or tidal etc.) or non-renewable energies (like fossil fuel based gas generators, diesel generators, small steam turbines). An active source of power, like a photovoltaic cell, fuel cell or combine heat and power etc. A reactive source of power, like capacitor banks or synchronous condensers, or STATCOM (static synchronous compensator), active-reactive power sources like synchronous machines and wind turbine generators.
Published in Chapter:
Optimal Placement and Sizing of Distributed Generation in Distribution System Using Modified Particle Swarm Optimization Algorithm: Swarm-Intelligence-Based Distributed Generation
Mahesh Kumar (Universiti Teknologi Petronas, Malaysia & Mehran University of Engineering and Technology, Pakistan), Perumal Nallagownden (Universiti Teknologi Petronas, Malaysia), Irraivan Elamvazuthi (Universiti Teknologi PETRONAS, Malaysia), and
Pandian Vasant (University of Technology Petronas, Malaysia)
Copyright: © 2018
|Pages: 23
DOI: 10.4018/978-1-5225-2990-3.ch021
Abstract
The electricity demand, fossil fuel depletion and environment issues increase the interest of power engineers to integrate small power generations i.e. called distributed generation (DGs) in the distribution system. The DG in distribution system has many positive effects such as it reduces the system power losses, improves the voltage profile and strengthen the voltage stability etc. The placement and sizing of DG play a major role in optimizing these parameters. Therefore, this chapter proposes a modified Particle Swarm Optimization (PSO) algorithm for finding the optimal placement and sizing of distributed generation in the radial distribution system. Two types of DGs such as an active power and reactive power DGs are tested on standard IEEE 33 radial bus system. Moreover, it can be realized that proposed method gives very effective results when both of active and reactive power DGs are integrated into the distribution system.