scholarly journals Optimal Placement and Sizing of DGs in Distribution Networks Using MLPSO Algorithm

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6185
Author(s):  
Eshan Karunarathne ◽  
Jagadeesh Pasupuleti ◽  
Janaka Ekanayake ◽  
Dilini Almeida
Keyword(s):  
Power Loss ◽  
Distribution Networks ◽  
Active Power ◽  
Optimization Techniques ◽  
Power Grids ◽  
Optimal Placement ◽  
Unity Power Factor ◽  
Suggested Approach ◽  
Comparison Of The Results ◽  
Bus System

In today’s world, distributed generation (DG) is an outstanding solution to tackle the challenges in power grids such as the power loss of the system that is intensified by the exponential increase in demand for electricity. Numerous optimization algorithms have been used by several researchers to establish the optimal placement and sizing of DGs to alleviate this power loss of the system. However, in terms of the reduction of active power loss, the performance of these algorithms is weaker. Furthermore, the premature convergence, the precision of the output, and the complexity are a few major drawbacks of these optimization techniques. Thus, this paper proposes the multileader particle swarm optimization (MLPSO) for the determination of the optimal locations and sizes of DGs with the objective of active power loss minimization while surmounting the drawbacks in previous algorithms. A comprehensive performance analysis is carried out utilizing the suggested approach on the standard IEEE 33 bus system and a real radial bus system in the Malaysian context. The findings reveal a 67.40% and an 80.32% reduction of losses in the two systems by integrating three DGs with a unity power factor, respectively. The comparison of the results with other optimization techniques demonstrated the effectiveness of the proposed MLPSO algorithm in optimal placement and sizing of DGs.

scholarly journals Multi-Objective Grey Wolf Optimization for Optimal Allocation of Distributed Generators in Distribution Networks

2020 ◽  
Vol 9 (3) ◽  
pp. 664-670
Keyword(s):  
Radial Distribution ◽  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Real Power ◽  
Multi Objective ◽  
Distributed Generators

The power loss in the radial distribution network is appreciable as compared to transmission network. To reduce the power loss in distribution network which is radial in nature, the solution methodology adopted in this paper is optimal placement of distributed generators (DG). The optimization incorporated is Multi-objective Grey Wolf Optimization (MOGWO). The optimization is accomplished for three different cases. In each case two objective functions are simultaneously optimized to obtain non-dominated solutions using Multi-objective Grey Wolf Optimization. Case (1): To minimize the real power loss and maximize the savings obtained due to DG installation. Case (2): To minimize real power loss and maximum voltage deviation in the network. Case (3): To minimize real power loss and rating of DG installed. MOGWO method maintains an archive which contains pareto-optimal solutions. The archive mimics the behaviour of grey wolves. MOGWO method is verified on radial distribution networks. The effectiveness of the optimization method is proven by comparing the results with other optimization methods available in the literature.

scholarly journals Optimal Placement and Optimal Combination of DTC, STATCOM and Line Reconfiguration to Minimize the Power Loss in Distribution Networks

2019 ◽  
Vol 8 (4) ◽  
pp. 11631-11636 ◽  
Keyword(s):  
Power Loss ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Optimal Combination ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Power Loss Reduction ◽  
Network Operation ◽  
Time Variables ◽  
Simulation Package

Due to deregulation, exponential growth in the electricity demand, integration of renewable energy sources, lack of analytical computing facility and expansion of network increases the complexity with poor operation of the network. Existing analytical computing facility is failed to give efficient and accurate results for secure operation of the distribution network. Many researchers are working to give potential solution to improve the performance of network operation considering the real time variables. In this paper minimization of power loss is chosen as objective function. Considering the network parameters the optimal placements with different combination of DTC, STATCOM and line reconfiguration are tested on IEEE-15 bus system using MiPower simulation package. The obtained result shows more than 50% power loss reduction, which leads to efficient and stress free operation of the distribution networks.

scholarly journals Photovoltaic Generation Integration with Radial Feeders Using GA and GIS

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Elias Mandefro Getie ◽  
Belachew Bantyirga Gessesse ◽  
Tewodros Gera Workneh
Keyword(s):  
Power System ◽  
Power Loss ◽  
Optimal Allocation ◽  
Distribution Networks ◽  
Optimal Placement ◽  
Generation System ◽  
Photovoltaic Generation ◽  
Gis Methods ◽  
Pv Generation ◽  
Transmission And Distribution

The electric power generated from different electricity sources are not used efficiently by end users in the world. This is due to the loss of power supplied in the case of electricity transmission and distribution to residential, commercial, and industrial loads. Even if the loss of power in the power system cannot be avoided 100%, it should be reduced to the minimum optimal value. The loss of power in the radial feeders can be minimized using an optimally allocated photovoltaic (PV) generation system by considering the information of geography, solar irradiance of the site, and space availability, which should not have shadow from large buildings and trees. The PV generation system eliminates the problem of power demand by enhancing the capacity of the power network as well as by reducing the depletion and consumption of fossil fuel resources. To reduce power loss and improve system loading capacity for demand response, the integration and finding the optimal place of photovoltaic generation take high concern from power system operators and technicians. The optimal allocation of PV has been done using the Genetic Algorithm (GA) for optimization of a multiobjective function with different constraints. The main objective of this paper is to minimize the power loss of the radial distribution networks by maintaining the phase voltage of the load in balance and improving the drop in voltage along the phase. So, GA is used to determine the best location and capacity of PV generation that can reduce the loss of power in the system. The IEEE-33 bus system is used to test the proposed method. Generally, using the GA and GIS methods results in a high accuracy for optimal placement of PV generation in the IEEE-33 bus radial feeder and enables to reduce the loss of power during transmission and distribution by maintaining the power quality for consumers.

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 A Novel Analytical Approach for Optimal Placement and Sizing of Distributed Generations in Radial Electrical Energy Distribution Systems

2021 ◽  
Vol 13 (18) ◽  
pp. 10224
Author(s):  
Sasan Azad ◽  
Mohammad Mehdi Amiri ◽  
Morteza Nazari Heris ◽  
Ali Mosallanejad ◽  
Mohammad Taghi Ameli
Keyword(s):  
Radial Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Voltage Stability ◽  
Reducing Power ◽  
Distribution Networks ◽  
Active Power ◽  
Optimal Placement ◽  
Power Losses ◽  
Active Power Losses

Considering the strong influence of distributed generation (DG) in electric distribution systems and its impact on network voltage losses and stability, a new challenge has appeared for such systems. In this study, a novel analytical algorithm is proposed to distinguish the optimal location and size of DGs in radial distribution networks based on a new combined index (CI) to reduce active power losses and improve system voltage profiles. To obtain the CI, active power losses and voltage stability indexes were used in the proposed approach. The CI index with sensitivity analysis was effective in decreasing power losses and improving voltage stability. Optimal DG size was determined based on a search algorithm to reduce active power losses. The considered scheme was examined through IEEE 12-bus and 33-bus radial distribution test systems (RDTS), and the obtained results were compared and validated in comparison with other available methods. The results and analysis verified the effectiveness of the proposed algorithm in reducing power losses and improving the distribution system voltage profiles by determining the appropriate location and optimal DG size. In IEEE 12 and 33 bus networks, the minimum voltage increased from 0.9434 p.u and 0.9039 p.u to 0.9907 p.u and 0.9402 p.u, respectively. Additionally, the annual cost of energy losses decreased by 78.23% and 64.37%, respectively.

scholarly journals An Effective Coordination Setting for Directional Overcurrent Relays Using Modified Harris Hawk Optimization

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3007
Author(s):  
Muhammad Irfan ◽  
Seung-Ryle Oh ◽  
Sang-Bong Rhee
Keyword(s):  
Distribution Networks ◽  
Optimal Operation ◽  
Mixed Integer ◽  
Coordination Problem ◽  
Roulette Wheel Selection ◽  
Medium Level ◽  
Overcurrent Relays ◽  
Comparison Of The Results ◽  
Matlab Programming ◽  
Bus System

The relay optimization expresses quite a challenge for smooth and optimal operation of power system networks. The relay optimization is formulated as a mixed integer non-linear problem and is highly constrained. Furthermore, a reliable relaying system must be able to detect and isolate the faulted portion in a timely manner. Therefore, it is necessary to find optimal parameters for relay settings to be able to respond in a timely way to the encountered fault and at the same time keep in consideration the operational and coordination constraints. This paper proposes modified Harris hawk optimization (MHHO), which is based on the intelligent preying tactics of Harris hawks and the improvement of intended modifications, crowding distance and roulette wheel selection. The proposed algorithm has been tested on IEEE 8 and 15-bus systems, using MATLAB programming. The test systems are the distribution networks covering the medium level voltage for consideration. The simulation results verified the success of MHHO to find optimal settings for the relays. For IEEE 8-bus system, MHHO was able to give 35.45% improvement in the results in comparison to other algorithms. Furthermore, for the IEEE 15-bus system, MHHO showed 24.09% improvement on average. The comparison of the results obtained by MHHO with the other state-of-the-art algorithms proved that it is the strong candidate for optimization of the relay coordination problem.

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