scholarly journals Simultaneous placement of FACTS devices using cuckoo search algorithm

2020 ◽  
Vol 11 (3) ◽  
pp. 1344
Author(s):  
Basanagouda N. Patil ◽  
S. B. Karajgi
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Reactive Power Compensation ◽  
Optimal Placement ◽  
Facts Devices ◽  
In Series ◽  
Ac Transmission

The power system deregulation requires thechange in reactive power compensation in the power system. The optimal placement of FACTs (Flexi ble AC transmission system) devices is mandatory to recalculate the reactive power compensation in deregulation case. The FACTs devices generally used in series and shunt conections. Here the various facts devices connected in series & shunt combination simultaneously. The optimal placement and sizing of the devices are done in this paper by formulating the objective function with minimization of cost of the generation and minimizing the cost of Facts devices. MALAB is used for writing the code. IEEE 14 bus system is used to here for testing the system. Placing the FACTs separately and simultaneously are studied in case study. Cuckoo search algorithm is used to identify the solution to the optimization problem.

scholarly journals Optimal Reactive Power Scheduling Using Cuckoo Search Algorithm

2017 ◽  
Vol 7 (5) ◽  
pp. 2349 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Integer Programming Problem ◽  
Scheduling Problem ◽  
Power Scheduling

<p>This paper solves an optimal reactive power scheduling problem in the deregulated power system using the evolutionary based Cuckoo Search Algorithm (CSA). Reactive power scheduling is a very important problem in the power system operation, which is a nonlinear and mixed integer programming problem. It optimizes a specific objective function while satisfying all the equality and inequality constraints. In this paper, CSA is used to determine the optimal settings of control variables such as generator voltages, transformer tap positions and the amount of reactive compensation required to optimize the certain objective functions. The CSA algorithm has been developed from the inspiration that the obligate brood parasitism of some Cuckoo species lay their eggs in nests of other host birds which are of other species. The performance of CSA for solving the proposed optimal reactive power scheduling problem is examined on standard Ward Hale 6 bus, IEEE 30 bus, 57 bus, 118 bus and 300 bus test systems. The simulation results show that the proposed approach is more suitable, effective and efficient compared to other optimization techniques presented in the literature.</p>

Hybrid Cuckoo Search Algorithm for Optimal Placement and Sizing of Static VAR Compensator

2016 ◽  
pp. 288-326 ◽  
Author(s):  
Khai Phuc Nguyen ◽  
Dieu Ngoc Vo ◽  
Goro Fujita
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Combinatorial Problem ◽  
Cuckoo Search ◽  
Global Optimum ◽  
Cuckoo Search Algorithm ◽  
Optimal Placement ◽  
Static Var Compensator ◽  
Voltage Deviation ◽  
Teaching Learning

This chapter proposes a Hybrid Cuckoo search algorithm to determine optimal location and sizing of Static VAR Compensator (SVC). Hybrid Cuckoo search algorithm is a simple combination of the Cuckoo search algorithm (CSA) and Teaching-learning-based optimization (TLBO), where the learner phase of TLBO is added to improve performance of Cuckoo eggs. The proposed method is applied for optimizing location and sizing of SVC in electric power system. This problem is a kind of discrete and combinatorial problem. The objective function considers loss power, voltage deviation and operational cost of SVC and other operating constraints in power system. Numerical results from three various tested systems show that the proposed method is better than the conventional CSA and TLBO in finding the global optimum solutions and its performance is also high than others.

scholarly journals Optimal Power System Planning with Renewable DGs with Reactive Power Consideration

2018 ◽  
Vol 9 (2) ◽  
pp. 750
Author(s):  
Hanumesh T. ◽  
Sudarshana Reddy H.R
Keyword(s):  
Power System ◽  
Distribution System ◽  
Reactive Power ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Power System Planning ◽  
System Planning ◽  
Optimal Power ◽  
Reactive Power Compensator

<p>This paper analyses the optimal power system planning with DGs used as real and reactive power compensator. Recently planning of DG placement reactive power compensation are the major problems in distribution system. As the requirement in the power is more the DG placement becomes important. When planned to make the DG placement, cost analysis becomes as a major concern. And if the DGs operate as reactive power compensator it is most helpful in power quality maintenance. So, this paper deals with the optimal power system planning with renewable DGs which can be used as a reactive power compensators. The problem is formulated and solved using popular meta-heuristic techniques called cuckoo search algorithm (CSA) and particle swarm optimization (PSO). the comparative results are presented.</p>

scholarly journals Cost Minimization in Indian Power System by Placing Multi-Facts Devices using Cuckoo Search Algorithm

2019 ◽  
Vol 9 (2) ◽  
pp. 340-344
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Cost Minimization ◽  
Cost Effective ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Distributed Generations ◽  
Facts Devices ◽  
Effective Reduction ◽  
Network Losses

As the deregulation of the power system is one of the recent needs of the electricity network, the distributed generations are penetrated to the power system. This leads to unpredictability of the network losses. The best position of “FACTS” devices minimizes the losses of power scheme. The significant improvement in minimization of cost and loss by placing simultaneously two facts devices at a time is discussed in this document. The “FACTS” devices such as SVC, UPFC, and TCSC are used in this analysis. Here SVC with TCSC, TCSC with UPFC and SVC with UPFC are considered. Each placed simultaneously to the deregulated environment. Two FACTS devices were provided with cost-effective reduction of FACTS systems. The Indian utility bus system with 62 buses, is used here as a study.

scholarly journals Simultaneous Placement and Sizing of Distributed Generation Units and Shunt Capacitors on Radial Distribution Systems Using Cuckoo Search Algorithm

2021 ◽  
pp. 43-58
Author(s):  
Sunday Adeleke Salimon ◽  
Gafari Abiola Adepoju ◽  
Isaiah Gbadegesin Adebayo ◽  
Oluwadamilare Bode Adewuyi ◽  
Saheed Oluwasina Amuda
Keyword(s):  
Radial Distribution ◽  
Distribution Systems ◽  
Reactive Power ◽  
Search Algorithm ◽  
Stability Index ◽  
Cuckoo Search ◽  
Optimal Placement ◽  
Power Loss Reduction ◽  
Operational Test ◽  
Shunt Capacitors

This paper presents a Cuckoo Search (CS) algorithm-based methodology for simultaneous optimal placement and sizing of Shunt Capacitors (SCs) and Distributed Generations (DGs) together in radial distribution systems. The objectives of the work are to minimize the real power and reactive power losses while maximizing the voltage stability index of the distribution network subjected to equality and inequality constraints. Different operational test cases are considered namely installation of SCs only, DGs only, SCs before DGs, DGs before SCs, and SCs and DGs at one time. The proposed method has been demonstrated on standard IEEE 33-bus and a practical Ayepe 34-bus radial distribution test systems. The highest percentage power loss reduction of 94.4% and other substantial benefits are obtained when SCs and DGs are optimally installed simultaneously. Simulated results obtained from the proposed technique are compared with other well-known optimization algorithms and found to be more effective.

Congestion management in deregulated power system using hybrid cat-firefly algorithm with TCSC and SVC FACTS devices

2016 ◽  
Vol 35 (5) ◽  
pp. 1524-1537 ◽  
Author(s):  
Naraina Avudayappan ◽  
S.N. Deepa
Keyword(s):  
Power System ◽  
Congestion Management ◽  
Power Line ◽  
Transmission System ◽  
Optimal Placement ◽  
Content Type ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Ac Transmission

Purpose The loading and power variations in the power system, especially for the peak hours have abundant concussion on the loading patterns of the open access transmission system. During such unconditional state of loading the transmission line parameters and the line voltages show a substandard profile, which depicts exaction of congestion management of the power line in such events. The purpose of this paper is to present an uncomplicated and economical model for congestion management using flexible AC transmission system (FACTS) devices. Design/methodology/approach The approach desires a two-step procedure, first by optimal placement of thyristor controlled series capacitor (TCSC) and static VAR compensator (SVC) as FACTS devices in the network; second tuning the control parameters to their optimized values. The optimal location and tuning of TCSC and SVC represents a hectic optimization problem, due to its multi-objective and constrained nature. Hence, a reassuring heuristic optimization algorithm inspired by behavior of cat and firefly is employed to find the optimal placement and tuning of TCSC and SVC. Findings The effectiveness of the proposed model is tested through simulation on standard IEEE 14-bus system. The proposed approach proves to be better than the earlier existing approaches in the literature. Research limitations/implications With the completed simulation and results, it is proved that the proposed scheme has reduced the congestion in line, thereby increasing the voltage stability along with improved loading capability for the congested lines. Practical implications The usefulness of the proposed scheme is justified with the computed results, giving convenience for implementation to any practical transmission network. Originality/value This paper fulfills an identified need to study exaction of congestion management of the power line.

L-Index Modulated Voltage Source Converter

2008 ◽  
Vol 9 (5) ◽  
Author(s):  
Damian O Dike ◽  
Satish M Mahajan
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Reactive Power Compensation ◽  
Voltage Source ◽  
Voltage Source Converter ◽  
Flexible Ac Transmission ◽  
Self Tuning ◽  
Modulation Signal ◽  
Status Indicator ◽  
Ac Transmission

A strategy is presented for the self-tuning of a voltage source converter (VSC) based Flexible AC Transmission Systems (FACTS) according to the prevailing system condition. L-index, which is a power system voltage stability status indicator, and its associated parameters are used to automatically regulate the modulation signal of the VSC. This will lead to a proportionate adjusting of the magnitude of the current injected into, or absorbed from, the interconnected load bus by the FACTS device. This regulating scheme will enhance seamless and optimal reactive power compensation by utilizing the dynamic operational nature of present day distressed power system networks. Results obtained using this method when applied to selected load buses of the IEEE 14 bus system under varying practical scenarios showed its capability to appropriately control FACTS devices operation to accommodate system changing conditions. It is hoped that the outcome of this work will provide efficient tools for the determination of power system status, ensure optimal utilization of the dynamic reactive power compensation devices and reduce system outages.

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