Adaptive neuro-fuzzy inference system for volt/var control in distribution systems

This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for volt/var control in distribution systems. The control objectives are minimization of system losses without violating the voltage security of the system. Power loss and voltage sensitivities obtained at the end of the base case load flow are used to determine the dominant inputs to the fuzzy expert system. The rules are adapted using a neural network. Adaptability of rules contributes to qualitative comprehension of the inference process by a human operator. Application to a practical 30-bus system illustrates the economic benefits and numerical results achievable through the fuzzy connectionist scheme. (C) 1999 Elsevier Science S.A. All rights reserved.