A novel method for optimal placement of vehicle-to-grid charging stations in distribution power system using a quantum binary lightning search algorithm

2018 ◽  
Vol 38 ◽  
pp. 174-183 ◽  
Author(s):  
Ahmed Aljanad ◽  
Azah Mohamed ◽  
Hussain Shareef ◽  
Tamer Khatib
Keyword(s):  
Power System ◽  
Search Algorithm ◽  
Optimal Placement ◽  
Vehicle To Grid ◽  
Novel Method ◽  
Charging Stations

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 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 Generalized optimal placement of PMUs considering power system observability, communication infrastructure, and quality of service requirements

2020 ◽  
Vol 10 (3) ◽  
pp. 2824
Author(s):  
M. M. H. Elroby ◽  
S. F. Mekhamer ◽  
H. E. A. Talaat ◽  
M. A. Moustafa Hassan
Keyword(s):  
Power System ◽  
Minimum Spanning Tree ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Base Station ◽  
Optimal Placement ◽  
Binary Particle Swarm Optimization ◽  
Communication Infrastructure ◽  
Control Center ◽  
System Observability

This paper presents a generalized optimal placement of Phasor Measurement Units (PMUs) considering power system observability, reliability, Communication Infrastructure (CI), and latency time associated with this CI. Moreover, the economic study for additional new data transmission paths is considered as well as the availability of predefined locations of some PMUs and the preexisting communication devices (CDs) in some buses. Two cases for the location of the Control Center Base Station (CCBS) are considered; predefined case and free selected case. The PMUs placement and their required communication network topology and channel capacity are co-optimized simultaneously. In this study, two different approaches are applied to optimize the objective function; the first approach is combined from Binary Particle Swarm Optimization-Gravitational Search Algorithm (BPSOGSA) and the Minimum Spanning Tree (MST) algorithm, while the second approach is based only on BPSOGSA. The feasibility of the proposed approaches are examined by applying it to IEEE 14-bus and IEEE 118-bus systems.

Voltage Stability Enhancement with Optimal Placement of IPFC

2019 ◽  
Vol 8 (4) ◽  
pp. 9465-9471
Keyword(s):  
Transmission Line ◽  
Objective Function ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Test System ◽  
Optimal Location ◽  
Optimal Placement ◽  
Utilization Factor ◽  
Location Selection ◽  
Multi Objective

This paper presents a novel technique based on Cuckoo Search Algorithm (CSA) for enhancing the performance of multiline transmission network to reduce congestion in transmission line to huge level. Optimal location selection of IPFC is done using subtracting line utilization factor (SLUF) and CSA-based optimal tuning. The multi objective function consists of real power loss, security margin, bus voltage limit violation and capacity of installed IPFC. The multi objective function is tuned by CSA and the optimal location for minimizing transmission line congestion is obtained. The simulation is performed using MATLAB for IEEE 30-bus test system. The performance of CSA has been considered for various loading conditions. Results shows that the proposed CSA technique performs better by optimal location of IPFC while maintaining power system performance

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