Loss reduction in distribution system with hybrid fuzzy-opposition based differential evolution algorithm

ABSTRACT

Power distribution systems must be very effective in power delivery. Utilities are continuously looking for recent technologies to enhance power delivery performance. The control of power loss is one of the most important issues directly related to system efficiency. Distribution system reconfiguration and optimal capacitor placement are the two most popular techniques adapted for the control of power loss. These techniques not only concentrate on power loss control but also control volt/volt-ampere reactive (VAR) of the distribution system, and at the same time improve the system reliability and security. This paper proposes a method to handle reconfiguration and capacitor placement simultaneously for the effective optimisation. Furthermore, it utilises opposition-based differential evolution (ODE) algorithm for efficient searching for the optimal solution. In order to consider the constraints along with the objective, heuristic fuzzy has been integrated with ODE. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to IEEE-33 bus power distribution systems. The proposed algorithm reduces the transmission loss and controls volt/VAR while satisfying power flow constraints.

KEYWORDS:

• Distribution network reconfiguration
• capacitor placement
• differential evolution
• loss reduction
• switching operation
• volt/VAR control