Computational intelligence applications in unit commitment, economic dispatch and load flow

Computational intelligence (CI) methods include techniques in artificial intelligence, fuzzy logic, artificial neural networks and evolutionary computation. These methods have been explored by power system researchers. This paper concentrates on the recent development of: (a) artificial-intelligent-based approach to unit commitment, (b) evolutionary-programming based economic dispatch, and (c) genetic-algorithm-based load flow method. For the area in (a), a unit commitment system with learning ability is described. An improved evolutionary programming method for economic dispatch is presented for the area in (b). For the load flow analysis in (c), a constrained-genetic-load flow algorithm is introduced. Some study examples are presented.