Reliability Improvement of Radial Distribution System by Reconfiguration

Abstract

In a radial distribution system, component failure leads to service interruption and subsequent disconnection of a few load points. An abnormal variation in the voltage levels and high power loss gives rise to reliability issues. In this work, feeder reconfiguration is performed to improve reliability, minimize voltage deviation and power loss. A Binary Particle Swarm Optimization based search function handles the reconfiguration. The goal of this search function is to identify the optimal tie switches which minimize the multi-objective function. The search algorithm based on Binary Particle Swarm Optimization is utilized to handle the reconfiguration which identifies the optimal tie switches for minimizing the multi-objective function. The effect of the various algorith parameters on the convergence rate is studied. The proposed algorithm has been tested on Standard IEEE 33 and 69 test systems and the obtained results show a boost in the system reliability.

An Optimization Model for Reliability Improvement and Cost Reduction Through EV Smart Charging

“…Figure 19 shows the aging failure probabilities for the ST, six selected cables (Nos. 1,2,12,16,24,30), and the DTs (Nos. 9, 12, 23, 24, 29, 31) without and with EV smart charging in IEEE 33-bus network.…”

“…The network has one substation transformer of 5 MVA, 32 DTs, and 32 branches numbered by the ending bus of each branch. The rated power of the load at the buses are 100 kW (bus 1), 90 kW (buses 2, 17-22), 120 kW (buses 3, 13, 28, 29, 31), 60 kW (buses 4,5,8,9,11,12,[14][15][16][25][26][27], 100 kW (buses 6, 7), 40 kW (bus 10), 210 kW (buses 23, 24), 150 kW (bus 30), 80 kW (bus 32), with power factor of 0.895. The current-carrying capacities at the reference ambient temperature are 300 A, 200 A, 100 A, and 50 A for branch 1, branch 2, branches 3-5, and branches 6-32, respectively.…”

“…Reliability improvement methods can be classified into direct or indirect methods based on their objectives. Direct methods [10]- [12] aim to maximize the system reliability, while indirect methods [13] - [15] focus on improving network operation and performance by reducing power loss, enhancing voltage magnitude profiles, and maintaining active and reactive power balance.…”