Fault Isolation and Reconfiguration of Multi-Voltage Level Distribution Network Based on PSO Algorithm

Abstract

Fault isolation and reconfiguration are very important aspects of distribution network automation. When there is a fault in the distribution system, the loads connected with the fault zone should be separated and the operation pattern can be found by changing the status of the section switches or contact switches. A method of using different fault isolation and reconfiguration measures to deal with different zone faults is proposed. Different coding methods for different zone faults are introduced. Particle Swarm Optimization (PSO) algorithm is used to find the optimal result of the switch status. A distribution network in Dezhou grid in Shandong province is simulated with MATLAB and simulation results verify the effectiveness of the proposed method.

Faulted section identification for DC distribution systems using smart meter data

“…For finding the exact faulted section, the data of M 1 , M 2 , M 3 and M 4 are analysed and the status of the meter which undergoes significant voltage dip will be enabled to z n = 1 at the SCR. In case of more than one metres affected due to voltage dip, the status of the meters will be decided by upstream bus voltage matching criteria using (2), (6) and (7). Subsequently, the V s is formed and its multiplication with B results D. The Hadamard product of P fs obtained from D and V bus results the correct faulted section.…”

“…In a distribution system, the main reasons of consumer power supply interruption are the radial feeder configuration, mechanical damage in cable sections and high failure rate of other feeder elements [5]. An accurate method for faulted section identification and subsequent fault location minimises the inspection and restoration times [6,7]. This also expedites the reconfiguration process.…”

Fault-reconfiguration strategy of smart distribution network with distribution generators

“…In Equation 13, NTC i = f i − max{f i }, NTC n = f n − max{f i }, where NTC i is the disparity between the function value of the i-th empire and the best imperial function value max{f i }. N imp is the total number of empires.…”

“…There should be more considerations to be taken into, such as VF control, and DG islanding. Cui et al proposed a particle swarm optimization (PSO) method to solve the FRDN of multivoltage level distribution network. But it did not take the impacts of DGs into account either.…”