Crayfish optimisation algorithm for strategic planning of distributed generation and capacitor bank with network reconfiguration on radial distribution network

Abstract

This study presents a cutting-edge strategy for the effective integration of distributed generation (DG) and capacitor banks (CB) with optimal network reconfiguration inside the radial distribution network. The crayfish optimisation algorithm is employed to identify the optimal configuration for network and optimal allocation of compensating devices. The main aim of this planning methodology is to elevate the system performance by curtailing power losses and improving voltage profiles. The potency of this approach is validated through simulation studies on the 118-bus standard distribution systems with several load models, such as constant current, constant power, constant impedance and ZIP load models. Furthermore, a comprehensive examination of several case studies underscores the benefits of the suggested approach. The simulation results demonstrate that integrating DG units operating at optimal power factor, along with coordinated operation of CB and network reconfiguration, can substantially enhance distribution system performance. This simultaneous approach, applied to a constant power load model, led to an 86.90% reduction in active power loss, an 86.42% reduction in reactive power loss and an increase in the minimum bus voltage level of the system from 0.8688 to 0.9815 p. u.