Optimal placement of multi-distributed generation units including different load models using particle swarm optimisation
Author:
- 5 July 2011
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Generation, Transmission & Distribution
- Vol. 5 (7) , 760-771
Abstract
This study proposes a multi-objective index-based approach to optimally determine the size and location of multi-distributed generation (DG) units in distribution system with non-unity power factor considering different load models. It is shown that load models can significantly affect the optimal location and sizing of DG resources in distribution systems. The proposed multi-objective function to be optimised includes a short-circuit-level parameter to represent the protective device requirements. The proposed function also considers a wide range of technical issues such as active and reactive power losses of the system, the voltage profile, the line loading and the Mega Volt Ampere (MVA) intake by the grid. The optimisation technique based on particle swarm optimisation is introduced. The analysis of continuation power flow to determine the effect of DG units on the most sensitive buses to voltage collapse is carried out. The proposed algorithm is tested using the 38-bus radial system and the IEEE 30-bus meshed system. The results show the effectiveness of the proposed algorithm.Keywords
This publication has 16 references indexed in Scilit:
- Optimum siting and sizing of a large distributed generator in a mesh connected systemElectric Power Systems Research, 2010
- Ordinal optimisation approach for locating and sizing of distributed generationIET Generation, Transmission & Distribution, 2009
- An analytical method for the sizing and siting of distributed generators in radial systemsElectric Power Systems Research, 2009
- Multiobjective Optimization for DG Planning With Load ModelsIEEE Transactions on Power Systems, 2009
- Transmission system operation concerns with high penetration level of distributed generation2007
- Evaluating Distributed Generation Impacts With a Multiobjective IndexIEEE Transactions on Power Delivery, 2006
- Impact of DG Placement on Reliability and Efficiency With Time-Varying LoadsIEEE Transactions on Power Systems, 2006
- A combination of genetic algorithm and simulated annealing for optimal DG allocation in distribution networks2006
- An Integrated Distributed Generation Optimization Model for Distribution System PlanningIEEE Transactions on Power Systems, 2005
- Load representation for dynamic performance analysis (of power systems)IEEE Transactions on Power Systems, 1993