TY - GEN
T1 - Multi-objective BPSO algorithm for distribution system expansion planning including distributed generation
AU - Mantway, A. H.
AU - Al-Muhaini, Mohammad M.
PY - 2008
Y1 - 2008
N2 - Distributed Generation (DG) is a new approach in the electricity industry to meet the electrical demand growth in a suitable manner. This paper presents a solution method for the distribution expansion planning problem including DG. The proposed algorithm is based on Binary Particle Swarm Optimization (BPSO). The aim of the model is to satisfy operational and economical requirements by using DG as a candidate alternative for distribution system planning and avoiding or at least reducing: expanding existing substations, and upgrading existing feeders. The model decides the locations and size of the new facilities in the system as well as the amount of the purchased power from the main grid. The Conventional Weighted Aggregation (CWA) method is used to solve the multi-objective optimization problem so that further objectives functions can be added. The results show that the DG's introduce economical and electrical benefits to the system including improved voltage profile, feeders loading and losses.
AB - Distributed Generation (DG) is a new approach in the electricity industry to meet the electrical demand growth in a suitable manner. This paper presents a solution method for the distribution expansion planning problem including DG. The proposed algorithm is based on Binary Particle Swarm Optimization (BPSO). The aim of the model is to satisfy operational and economical requirements by using DG as a candidate alternative for distribution system planning and avoiding or at least reducing: expanding existing substations, and upgrading existing feeders. The model decides the locations and size of the new facilities in the system as well as the amount of the purchased power from the main grid. The Conventional Weighted Aggregation (CWA) method is used to solve the multi-objective optimization problem so that further objectives functions can be added. The results show that the DG's introduce economical and electrical benefits to the system including improved voltage profile, feeders loading and losses.
KW - Binary particle swarm
KW - Conventional weighted aggregation
KW - Distributed generation
KW - Distribution system
KW - Hierarchical clustering
KW - Optimization
KW - Planning
UR - https://www.scopus.com/pages/publications/77951003587
U2 - 10.1109/TDC.2008.4517034
DO - 10.1109/TDC.2008.4517034
M3 - Conference contribution
AN - SCOPUS:77951003587
SN - 9781424419036
T3 - Transmission and Distribution Exposition Conference: 2008 IEEE PES Powering Toward the Future, PIMS 2008
BT - Transmission and Distribution Exposition Conference
ER -