scholarly journals Optimal Placement and Size of Distributed Generators Based on Autoadd and PSO to Improve Voltage Profile and Minimize Power Losses

2021 ◽  
Vol 39 (3A) ◽  
pp. 453-464
Author(s):  
Mustafa R. Nasser ◽  
Inaam I. Ali ◽  
Mohammed H. Alkhafaji
Keyword(s):  
Fixed Point ◽  
Power Flow ◽  
Local Community ◽  
High Efficiency ◽  
Search Algorithm ◽  
Optimal Placement ◽  
Electrical Network ◽  
Voltage Profile ◽  
Distributed Generators ◽  
Network Losses

This work aims to improve the voltage profile and reduce electrical network losses through optimal planning of distributed generators. A new search algorithm (Autoadd) along with the (PSO) are introduced to choose the best location and size for distributed generators. Two systems are implemented; a 33-bus test network and a 30-bus of a local community in the city of Al- Diwaniyah. At the power flow, a solution is implemented using a fixed-point iteration method within an OpenDSS environment to check the performance of both networks. Moreover, the optimal location and size of the distributed generators are determined using Autoadd and PSO methods. The Autoadd method is implemented within the OpenDSS environment, while the (PSO) method is implemented within the MATLAB-OpenDSS environment through the com-interface. The validity and effectiveness of the proposed methods are validated by comparison with the published researches. The results have proven that the fixed-point method has achieved high efficiency and accuracy in terms of analyzing the power flow, whereas the (Autoadd) algorithm has achieved a better effect in terms of improving the voltage profile and minimizing losses.

scholarly journals A Novel Optimal Distributed Generation Planning in Distribution Network using Cuckoo Optimization Algorithm

2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Ali Aranizadeh ◽  
Iman Niazazari ◽  
Mirpouya Mirmozaffari
Keyword(s):  
Distributed Generation ◽  
Optimization Algorithm ◽  
Distribution System ◽  
Optimal Placement ◽  
Voltage Profile ◽  
Placement Problem ◽  
Cuckoo Optimization Algorithm ◽  
Distributed Generators ◽  
Generation Planning ◽  
Network Losses

The optimal sizing and placement of distributed generators have recently drawn a considerable attention to itself. This paper proposes an evolutionary cuckoo optimization algorithm (COA) for optimal placement of distributed generation (DG) in a distribution system. The optimal DG placement problem is formulated as a cost function of network losses, voltage profile, and DG expenses. The proposed method is validated on a 13-bus distribution system. The results show that any variation in the parameter’s weight in the objective function leads to a significant change in the prediction of the DG’s location and capacity.  

Application of Tabu Search for Optimal Placement and Sizing of Distributed Generation for Loss Reduction

2012 ◽  
Vol 433-440 ◽  
pp. 7190-7194 ◽  
Author(s):  
Nattachote Rugthaicharoencheep ◽  
Thong Lantharthong ◽  
Awiruth Ratreepruk ◽  
Jenwit Ratchatha
Keyword(s):  
Tabu Search ◽  
Distributed Generation ◽  
Distribution System ◽  
Power Loss ◽  
Power Flow ◽  
Search Algorithm ◽  
Optimal Placement ◽  
Loss Reduction ◽  
Placement Problem ◽  
Bus Voltage

This paper presents the optimal and sizing of distributed generation (DG) placement in a radial distribution system for loss reduction. The main emphasis of this paper is to identify proper locations for installing DGs in a distribution system to reduce active power loss and improve bus voltages. Nevertheless, proper placement and sizing of DG units are not straightforward to be identified as a number of their positions and capacities need to be determined. It is therefore proposed in this paper to solve a DG placement problem based on a Tabu search algorithm. The objective function of the problem is to minimize the system loss subject to power flow constraints, bus voltage limits, pre specified number of DGs, and their allowable total installed capacity, and only one distributed generator for one installation position. The effectiveness of the methodology is demonstrated by a practical sized distribution system consisting of 69 bus and 48 load points. The results show that the optimal DG placement and sizing can be identified to give the minimum power loss while respecting all the constraints.

scholarly journals Minimization of Risks of Voltage and Frequency Violations in Islanded Microgrids using Robust Probabilistic Optimal Power Flow

2021 ◽  
Author(s):  
Elton A. Chagas ◽  
Anselmo B. Rodrigues ◽  
Maria G. Silva
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Computational Cost ◽  
Forecast Errors ◽  
Droop Control ◽  
Control Parameters ◽  
Distributed Generators ◽  
Optimal Power

The main aim of this paper is to propose a robust probabilistic optimal power flow model to determine the droop control parameters for the Distributed Generators (DG) of a islanded microgrid. The term robust is related to the droop control parameters being immune to uncertainties associated with: load forecast errors, DG outages and variability of power output in renewable DG. This optimization problem is solved by an improved gravitational search algorithm (GSA). The test results demonstrated that the proposed method can achieve significant reductions in the load curtailments due to frequency and voltage violations. In addition, a comparison between GSA and the Particle Swarm Optimization (PSO) demonstrated that GSA is more suitable for evaluating the droop control parameters than PSO in relation to the computational cost and the optimal quality of the solution.

scholarly journals Determining the Hosting Capacity of Solar Photovoltaic in a Radial Distribution Network Using an Analytical Approach

2019 ◽  
Vol 5 ◽  
pp. 15-25
Author(s):  
Suraj Dahal ◽  
Ajay Kumar Jha ◽  
Nawraj Bhattarai ◽  
Anil Kumar Panjiyar
Keyword(s):  
Power Flow ◽  
Positive Impact ◽  
Flow Simulation ◽  
Load Flow ◽  
Optimal Placement ◽  
Solar Pv ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Pv System ◽  
Power Loss Reduction

Integrating high photovoltaic (PV) on distribution grid system has a positive impact by significantly reducing the losses and improving the voltage profile at the same time reducing the pollution of the environment However, integrating high proportions of PV in the distribution grid can bring the grid to its operational limits and result in power quality issues. The maximum PV capacity that can be integrated without incurring any grid impacts is referred to as the PV hosting capacity of the grid. This paper intends to evaluate the hosting capacity of solar PV in Dodhara-Chandani (DoC) distribution feeder as one of the feeder of Integrated Nepal Power System (INPS), considering grid parameters and operating condition in Nepal. Three main criteria were investigated for determining the hosting capacity of PV; reverse power flow, maximum voltage deviation of feeder and current carrying limit of conductor. The analysis has been performed by means of static load-flow simulation in Electrical Transient & Analysis Program (ETAP) and coding in MATLAB R2017a. The study shows that PV of rated capacity 687kWp can be installed at a point of interconnection (POI) whereas an optimal placement of solar PV is found to be at 18th node (in between starting and end of the feeder) considering minimum system losses. The minimum voltage profile at end of the feeder has improved by 8 % while the active power loss reduction of network has reduced by 83.6 % after the integration of solar PV. The results indicate voltage at different buses and the ampacity of most of the conductors have been improved after the integration of PV system into DoC feeder.

Multi-type facts placement for loss minimization using biogeography based optimization

2012 ◽  
Vol 61 (4) ◽  
pp. 517-531 ◽  
Author(s):  
A. Subramanian ◽  
G. Ravi
Keyword(s):  
Power Flow ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Test Results ◽  
Voltage Profile ◽  
Facts Devices ◽  
New Strategy ◽  
Placement Type ◽  
Thyristor Controlled Series Compensator ◽  
Power Flow Controller

Abstract This paper presents a new strategy for optimal placement of multi-type FACTS devices with a view to minimize losses besides enhancing the voltage profile using biogeography based optimization. The strategy places three types of FACTS devices that include static VAR compensator, thyristor controlled series compensator and unified power flow controller; and offers optimal locations for placement, type and parameters of the FACTS devices. Test results on IEEE 14, 30 and 57 bus systems reveal the superiority of the algorithm.

scholarly journals OPF for large scale power system using ant lion optimization: a case study of the Algerian electrical network

2020 ◽  
Vol 9 (2) ◽  
pp. 252
Author(s):  
Ramzi Kouadri ◽  
Ismail Musirin ◽  
Linda Slimani ◽  
Tarek Bouktir
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Large Scale ◽  
Optimal Allocation ◽  
Electrical Network ◽  
Voltage Profile ◽  
Generation Cost ◽  
Ant Lion ◽  
Bus System

<span lang="EN-US">This paper presents a study of the optimal power flow (OPF) for a large scale power system. A metaheuristic search method based on the Ant Lion Optimizer (ALO) algorithm is presented and has been confirmed in the real and larger scale Algerian 114-bus system for the OPF problem with and without static VAR compensator (SVC) devices. To get the highest impact of SVC devices in terms of improving the voltage profile, minimize the total generation cost and reduction of active power losses, the ALO algorithm was applied to determine the optimal allocation of SVC devices. The results obtained by the ALO method were compared with other methods in the literature such as DE, GA-ED-PS, QP, and MOALO, to see the efficiency of the proposed method. The proposed method has been tested on the Algerian 114-bus system with objective functions is the minimization of total generation cost (TGC) with two different vectors of variables control.</span>

scholarly journals Coordinated Placement and Setting of FACTS in Electrical Network based on Kalai-smorodinsky Bargaining Solution and Voltage Deviation Index

2018 ◽  
Vol 8 (6) ◽  
pp. 4079
Author(s):  
Aziz Oukennou ◽  
Abdelhalim Sandali ◽  
Samira Elmoumen
Keyword(s):  
Stability Index ◽  
Optimal Placement ◽  
Electrical Network ◽  
Test Case ◽  
Bargaining Solution ◽  
Voltage Profile ◽  
Total Transmission ◽  
Voltage Deviation ◽  
The Cost ◽  
Thyristor Controlled Series Compensator

To aid the decision maker, the optimal placement of FACTS in the electrical network is performed through very specific criteria. In this paper, a useful approach is followed; it is based particularly on the use of Kalai-Smorodinsky bargaining solution for choosing the best compromise between the different objectives commonly posed to the network manager such as the cost of production, total transmission losses (Tloss), and voltage stability index (Lindex). In the case of many possible solutions, Voltage Profile Quality is added to select the best one. This approach has offered a balanced solution and has proven its effectiveness in finding the best placement and setting of two types of FACTS namely Static Var Compensator (SVC) and Thyristor Controlled Series Compensator (TCSC) in the power system. The test case under investigation is IEEE-14 bus system which has been simulated in MATLAB Environment.

scholarly journals Optimal placement of facts devices to reduce power system losses using evolutionary algorithm

2021 ◽  
Vol 21 (3) ◽  
pp. 1271
Author(s):  
Mahmood Khalid Zarkani ◽  
Ahmed Sahib Tukkee ◽  
Mohammed Jasim Alali
Keyword(s):  
Power System ◽  
Evolutionary Algorithm ◽  
Power Flow ◽  
Reactive Power ◽  
Research Work ◽  
Test System ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Voltage Profile ◽  
Facts Devices

<p>The rapid and enormous growths of the power electronics industries have made the flexible AC transmission system (FACTS) devices efficient and viable for utility application to increase power system operation controllability as well as flexibility. This research work presents the application of an evolutionary algorithm namely differential evolution (DE) approach to optimize the location and size of three main types of FACTS devices in order to minimize the power system losses as well as improving the network voltage profile. The utilized system has been reactively loaded beginning from the base to 150% and the system performance is analyzed with and without FACTS devices in order to confirm its importance within the power system. Thyristor controlled series capacitor (TCSC), unified power flow controller (UPFC) and static var compensator (SVC) are used in this research work to monitor the active and reactive power of the carried out system. The adopted algorithm has been examined on IEEE 30-bus test system. The obtained research findings are given with appropriate discussion and considered as quite encouraging that will be valuable in electrical grid restructuring.</p>

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