Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System

Abstract

Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) are the most alternative techniques for increasing the power system generation and covering the growth of power demands. These techniques reduce the Radial Distribution System (RDS) losses and enhance the voltage profile. Combining both techniques gives better performance than using the individual technique. In this paper, two operation modes were implemented. First, the individual mode of OCP is applied. Second, the dual mode of DSR after OCP process is applied. Multiobjective functions with considering the weighting factors are used for minimizing real losses, improving voltage profile, and increasing saving cost. The optimal selections of open switches, location, and size of capacitors in the individual and dual design for RDS are achieved using four different optimization algorithms. These algorithms are Modified Biogeography-Based Optimization (MBBO) algorithm, Cuckoo Search (CS) algorithm, Modified Imperialist Competitive (MIC) algorithm, and Modified Bacterial Foraging-Based Optimization (MBFBO) algorithm. These algorithms are applied for two standard networks (IEEE 33- and IEEE 69-bus). Comparisons among the proposed algorithms are done, and the results demonstrated that the MBBO algorithm is the most strong and fast algorithm to attain the optimum solution. In addition, comparisons with literature works are done to validate the effectiveness of proposed algorithms.

Optimization of distributed generation units in reactive power compensated reconfigured distribution network

“…The performance of the AGPSO in achieving power loss reduction considering cases C and D is depicted in Table 2 and also the results obtained are compared with the other existing methods which are depicted from Tables 5-8. By comparing the results obtained under cases C and D (scenario 1) with Tables 5 and 6, it is clear that the proposed method minimizes the power loss in a better manner than [28,19,20,22,26] and also the minimum and the maximum power loss reduction differences are 1.286242% and 8.277% for case C and for case D, 6.439% and 19.5933%, respectively. Better improvement in bus voltage has been noticed compared to other existing methods.…”

“…It is also a computationally in-depth problem whose dimension increases extremely with network size. Only a few research papers are available in the literature for optimization of CA and sizing together with NR [19][20][21][22][23][24][25][26][27][28][29][30].…”

“…NR and CA problem, based on a combination of salp swarm algorithm and real-coded genetic algorithm (SSA-GA) under three scenarios, to reduce power loss has been discussed in [27]. Real power loss reduction, Voltage profile improvement and annual cost saving increase as the objective, optimal allocation and sizing considering two techniques of operations, such as individual OCP and dual OCP-DSR, have been proposed in [28]. In this paper four different optimization algorithms are engaged (MBBO/CS/MIC/MBFBO) to solve multi-objective functions.…”

Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

“…The distribution network of includes both tie and sectionalizing switches. Though the two switches are basically alike, the network tie-switches are the one which stay open in order to preserve the network's radial nature [1]. Any of the sectionalizing switches (typically closed) of basic configuration of the network may be opened throughout the reconfiguration, which is why, it will become a tie switch.…”

Impact of Distribution Network Reconfiguration and Optimal Capacitor Placement under Wheeling Transactions

“…The optimal power that can be flow in the network at a given time depends on the distribution network [6,7]. There are many literatures [8][9][10][11][12][13][14] extensive research is carried out on the application of FR for and Optimal Capacitor Placement (OCP) in distribution system for minimizing power loss, maximize voltage stability and improve voltage profile. To solve multi-objective optimization problems the algorithms like MOPSO algorithm for power dispatch, machine learning algorithm based static VAR compensator to enhance voltage stability, partitioning differential transform method for solving nonlinear integrodifferential equations and integration of DG system with PV module to grid with modelling are reported [15][16][17][18].…”