An Improved Method for Reconfiguring and Optimizing Electrical Active Distribution Network Using Evolutionary Particle Swarm Optimization

Abstract

The presence of optimized distributed generation (DG) with suitable distribution network reconfiguration (DNR) in the electrical distribution network has an advantage for voltage support, power losses reduction, deferment of new transmission line and distribution structure and system stability improvement. However, installation of a DG unit at non-optimal size with non-optimal DNR may lead to higher power losses, power quality problem, voltage instability and incremental of operational cost. Thus, an appropriate DG and DNR planning are essential and are considered as an objective of this research. An effective heuristic optimization technique named as improved evolutionary particle swarm optimization (IEPSO) is proposed in this research. The objective function is formulated to minimize the total power losses (TPL) and to improve the voltage stability index (VSI). The voltage stability index is determined for three load demand levels namely light load, nominal load, and heavy load with proper optimal DNR and DG sizing. The performance of the proposed technique is compared with other optimization techniques, namely particle swarm optimization (PSO) and iteration particle swarm optimization (IPSO). Four case studies on IEEE 33-bus and IEEE 69-bus distribution systems have been conducted to validate the effectiveness of the proposed IEPSO. The optimization results show that, the best achievement is done by IEPSO technique with power losses reduction up to 79.26%, and 58.41% improvement in the voltage stability index. Moreover, IEPSO has the fastest computational time for all load conditions as compared to other algorithms.

A Novel Combined Evolutionary Algorithm for Optimal Planning of Distributed Generators in Radial Distribution Systems

“…7: while stopping criterion is not satisfied, do 8: Apply the mutation of DE on the population according to (2) considering the limits on sizes and locations of DGs. 9: Evaluate the mutant solution by the OF Total given in (27).…”

“…Converting the nature of RDSs from passive to active by installing small distributed generators (DG) near to end consumers is one of the solutions to overcome those technical problems. DG units improve the voltages along the feeder; enhance the reliability, as well as the quality; increase the voltage stability; allow more power to be transmitted through the feeders which defers the investments on future expansion of transmission and distribution systems; and reduce the total system's losses along with their costs [2,3].…”

Intelligent Path Recognition against Image Noises for Vision Guidance of Automated Guided Vehicles in a Complex Workspace

“…A number of particles which fly around in the search space to find the best solution are used in PSO [35][36][37][38]. Each particle denotes a candidate solution for optimization problems, which has two characteristics: position and velocity.…”

Optimal Operation Analysis of the Distribution Network Comprising a Micro Energy Grid Based on an Improved Grey Wolf Optimization Algorithm

“…, (10) where C x (t) is the cost of equipment maintenance of micro-source x; C fuelx is the cost of fuel of micro-source x; E x is the cost of initial fixed investment of micro-source x; l is the interest rate; A x is the lifespan of micro-source x; P x (t) is the electrical power of micro-source x; C y is the penalty of pollutant gas y; D y is the environmental value of pollutant gas y; and B xy is the value of pollutant gas y, which is produced by micro-source x. Z 1 (t) is the price of purchasing electricity for the micro energy grid.…”

“…Numerous studies in China and abroad focused on the optimal dispatching of the distributed energy's direct access to the distribution network [10][11][12][13][14][15][16][17][18][19]. For example, in Reference [12], a distributed coordinated control framework for a distribution network was proposed to enable reactive power optimization of the distribution network with renewable energy, and to improve the power quality of the system.…”