DYNAMIC PROGRAMMING – EFFICIENT TOOL FOR POWER SYSTEM EXPANSION PLANNING

Abstract

The paper isfocusing on dynamic programming use for power system expansion planning (EP) – transmission network (TNEP) and distribution network (DNEP). The EP problem has been approached from the retrospective and prospective point of view. To achieve this goal, the authors are developing two software-tools in Matlab environment. Two techniques have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA). The case study refers to Test 25 buses test power system developed within the Power Systems Department.

Keywords

• artificial intelligence; dynamic expansion planning; optimization; transmission network; software-tool
• dynamic programming
• artificial intelligence
• dynamic expansion planning
• optimization
• transmission network
• software-tool