New algorithm based on CLPSO for controlled islanding of distribution systems

• Published in: International journal of electrical power & energy systems Vol. 45; no. 1; pp. 391 - 403
• Main Authors: El-Zonkoly, Amany, Saad, Mostafa, Khalil, Reem
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01.02.2013; Elsevier
• Subjects: Algorithms; Applied sciences; Comprehensive learning particle swarm optimization (CLPSO); Controlled islanding; Cost engineering; Distributed generation (DG); Disturbances. Regulation. Protection; Electric power distribution; Electric power generation; Electric power plants; Electric power systems; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Islands; Load shedding; Mathematical analysis; Miscellaneous; Operation. Load control. Reliability; Optimization; Power dispatch; Power networks and lines; UGs; Comprehensive learning particle swarm optimization (CLPSO); DG; EENS; Load shedding; SASUI; PSO; IEAR; CLPSO; SAIDI; Controlled islanding; ECOST; Distributed generation (DG); Power dispatch; Costs; Distributed power generation; Implementation; Load flow; Learning; Reactive power; Power flow; Loss of mains; Electric power consumption; Optimal planning; Uplink; Distribution network; Mobile radiocommunication; System reliability; Algorithm; Particle swarm optimization; Electrical network; Power system protection; Distributed control; Power system reliability; Electric power production
• ISSN: 0142-0615; 1879-3517
• DOI: 10.1016/j.ijepes.2012.08.076

► Controlled islanding of DG to improve the continuity of supply and reliability of power system. ► Comprehensive learning particle swarm optimization (CLPSO) is used. ► The objective is to minimize the active and reactive generation cost and the un-served power cost. ► The solution incorporate generations re-dispatch and load shedding. ► The effect of intentional islanding on the system reliability indices is studied. Controlled islanding operation of distribution systems having significant penetration of distributed generation (DG) is becoming an important option for economical and technical reasons. Implementation of intentional islanding of DG improves the continuity of supply and reliability of power system. In this paper, comprehensive learning particle swarm optimization (CLPSO) is used to optimally partition the distribution system in case of main upstream loss. The objective is to find the optimal islanding scheme of distribution system to achieve minimum active power generation cost, minimum reactive generation cost and minimum cost of the un-served power while satisfying system operational constraints. The solution proceeds by splitting the system into islands after the loss of main upstream feeder. In each island, the power balanced is achieved through load shedding. An optimal dispatch of the generating units of each island is then carried out to achieve minimum active power generation cost. A power flow calculations are carried out to calculate the reactive power generated by each unit and to check the operational constraints of the system. Finally, the effects of controlled islanding with and without utility owned DGs on the system reliability indices is studied. The proposed algorithm is applied to two radial and meshed test systems.