A novel transient search optimization for optimal allocation of multiple distributed generator in the radial electrical distribution network

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jitendra Singh Bhadoriya ◽  
Atma Ram Gupta
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Distribution Network ◽  
Active Power ◽  
Optimization Techniques ◽  
Power Losses ◽  
Multi Objective ◽  
Electrical Distribution ◽  
Search Optimization ◽  
Electrical Distribution Network

Abstract Most of the generated electricity is lost in power loss while transmitting and distributing it to the consumer end. The power losses occurring in the distribution network cause deviation in voltage and lower stability due to increased load demand. The integration of multiple Distributed Generation (DG) will enable the existing radial electrical distribution network efficient by minimizing the power losses and improving the voltage profile. Metaheuristic optimization techniques provide a favorable solution for optimal location and sizing of DG in the distribution network. A novel modern metaheuristic Transient Search Optimization (TSO) algorithm, inspired by the electrical network’s transient response of storage components implemented in the proposed work. The TSO formulated optimal DGs allocation to minimize total active power loss, voltage deviation and enhance voltage stability index as minimization optimization problem satisfying various equality and inequality constraints. The installation of multiple DG units at unity, fixed, and optimal power factors were examined. The TSO algorithm’s effectiveness was tested on standard IEEE 33-bus and 69-bus radial distribution networks, including various operating events developed in the form of single and multi-objective fitness functions. The active power loss reduced to 94.29 and 94.71% for IEEE 33 and 69 bus distribution systems. The obtained results trustworthiness is confirmed by comparison with well-known optimization methods like Genetic Algorithm (GA), Particle Swarm Optimization (PSO), combined GA/PSO, Teaching Learning Based Algorithm (TLBO), Swine influenza model-based optimization with quarantine (SIMBO-Q), Multi-Objective Harris Hawks optimizer (MOHHO) and other provided in the literature. The presented numerical studies represent the usefulness and out-performance of the proposed TSO algorithm due to its exploration and exploitation optimization mechanisms for the DG allocation problem meticulously.

scholarly journals Active Power Loss Reduction for Radial Distribution Systems by Placing Capacitors and PV Systems with Geography Location Constraints

2020 ◽  
Vol 12 (18) ◽  
pp. 7806 ◽  
Author(s):  
Thuan Thanh Nguyen ◽  
Bach Hoang Dinh ◽  
Thai Dinh Pham ◽  
Thang Trung Nguyen
Keyword(s):  
Power Loss ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Active Power ◽  
Total Power ◽  
Voltage Profile ◽  
Pv System ◽  
Pv Systems ◽  
Search Optimization ◽  
Power Loss Reduction

This paper presents a highly effective method of installing both capacitors and PV systems in distribution systems for the purpose of reducing total power loss in branches. Three study cases with the installation of one capacitor, two capacitors and three capacitors were implemented and then the optimal solutions were used to install one more photovoltaic (PV) system. One PV system with 20% active power of all loads and less than active power of all loads was tested for two different conditions: (1) with geography location constraint and (2) without geography location constraint for PV system placement. The results from two systems consisting of 33 and 69 nodes were obtained by using the Stochastic Fractal Search Optimization Algorithm (SFSOA). Simulation results show that this method can determine the appropriate location and size of capacitors to reduce the total power losses more effectively than other existing methods. Furthermore, the paper also demonstrates the real impact of using both capacitors and PV systems to reduce active power loss as well as improve the voltage profile of distribution systems. This paper also finds that if it is possible to place PV systems in all nodes in distribution systems, the benefit from reducing total loss is highly significant and the investment of PV system placement is highly encouraged. As a result, it is recommended that capacitors and PV systems be used in distribution networks, and we claim that two important factors of the installed components consisting of location and size can be determined effectively by using SFSOA.

Reducing the Losses in the Electrical Power System of Kosovo by Implementation of New Type of Transformers in the Power Distribution System

2016 ◽  
Vol 856 ◽  
pp. 331-336
Author(s):  
Rexhep Shaqiri
Keyword(s):  
Power System ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Network ◽  
Electric Power System ◽  
Power Losses ◽  
Electrical Power System ◽  
Power Distribution System ◽  
Electrical Distribution ◽  
Electrical Distribution Network

This paper contains a strategy to minimize the power losses in the electrical distribution network of Kosovo. In order to develop the strategy, a model was constructed to simulate an electrical distribution network, and different parameters were included that helped in estimation of the technical power losses in the medium voltage (MV) distribution network. The main objective of this paper is to present approach to minimize technical and non-technical losses in power systems. The analysis of the Kosovo electric power system was performed by means of PSS/E 3.3 software. The results indicate options for reduction of the loses by replacement of old type of transformers and preparation of the MV system for upgrade and change the voltage level from 10 kV to 20 kV. As a first step new 110/10kV transformers can be installed, designed to be reconnected in the future to 110/20kV.

A novel multi-objective hybrid WIPSO-GSA algorithm-based optimal DG and capacitor planning for techno-economic benefits in radial distribution system

2019 ◽  
Vol 13 (1) ◽  
pp. 98-127 ◽  
Author(s):  
Arulraj Rajendran ◽  
Kumarappan Narayanan
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimization Problem ◽  
Distribution Network ◽  
Economic Benefits ◽  
Optimization Techniques ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective

PurposeThis paper aims to optimally plan distributed generation (DG) and capacitor in distribution network by optimizing multiple conflicting operational objectives simultaneously so as to achieve enhanced operation of distribution system. The multi-objective optimization problem comprises three important objective functions such as minimization of total active power loss (Plosstotal), reduction of voltage deviation and balancing of current through feeder sections.Design/methodology/approachIn this study, a hybrid configuration of weight improved particle swarm optimization (WIPSO) and gravitational search algorithm (GSA) called hybrid WIPSO-GSA algorithm is proposed in multi-objective problem domain. To solve multi-objective optimization problem, the proposed hybrid WIPSO-GSA algorithm is integrated with two components. The first component is fixed-sized archive that is responsible for storing a set of non-dominated pareto optimal solutions and the second component is a leader selection strategy that helps to update and identify the best compromised solution from the archive.FindingsThe proposed methodology is tested on standard 33-bus and Indian 85-bus distribution systems. The results attained using proposed multi-objective hybrid WIPSO-GSA algorithm provides potential technical and economic benefits and its best compromised solution outperforms other commonly used multi-objective techniques, thereby making it highly suitable for solving multi-objective problems.Originality/valueA novel multi-objective hybrid WIPSO-GSA algorithm is proposed for optimal DG and capacitor planning in radial distribution network. The results demonstrate the usefulness of the proposed technique in improved distribution system planning and operation and also in achieving better optimized results than other existing multi-objective optimization techniques.

Branch Exchange in Electrical Distribution Systems

2010 ◽  
Vol 47 (2) ◽  
pp. 200-212
Author(s):  
Bhoomesh Nursing ◽  
Robert T. F. Ah King
Keyword(s):  
Distribution Systems ◽  
Incidence Matrix ◽  
Distribution Network ◽  
Successful Implementation ◽  
Network Reconfiguration ◽  
Power Losses ◽  
Real Power ◽  
Electrical Distribution Systems ◽  
Electrical Distribution ◽  
Matrix Manipulation

This paper presents a branch exchange (BE) algorithm to solve network reconfiguration problems. The proposed technique involves a matrix manipulation approach, which has been devised by analysing the node–arc incidence matrix of the distribution network. A set of observations made on the network matrix permits the successful implementation of the BE technique by matrix manipulation. The approach presented here is simple and produces rapid results. Moreover, it can be implemented on large networks and can be used either as an exhaustive BE or as a heuristic BE. This method has been applied to 33 bus and 70 bus electrical distribution systems for the purpose of network reconfiguration for minimizing real power losses.

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