scholarly journals Optimal Power Flow with Facts Devices using Genetic Algorithm

2012 ◽  
pp. 173-179
Author(s):  
Aditya Tiwari ◽  
K. K. Swarnkar ◽  
S. Wadhwani ◽  
A. K. Wadhwani
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimization Technique ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Voltage Deviation ◽  
Ac Transmission

The introduction of flexible AC transmission system (FACTS) in a power system reduces the losses, reduces the cost of generation, and improves the stability also improves the load capability of the system. In this paper, a non-traditional optimization technique, genetic algorithm is used to optimize the various process parameters involved of FACTS devices in a power system The various parameter taken into the consideration were the location of the FACTS were their types and their rated value of the device. A genetic algorithm (GA) is simultaneously is used to minimize the total generation cost, and power loss/voltage deviation with in true and reactive power generation limits, Test results on the modified IEEE 30-bus system with various types of the FACTS controller The optimization results clearly indicates that the correct location of the FACTS devices will increase the loadability of the system and GA can be effectively used for this type of optimization.

scholarly journals Modelling of Transformerless Upfc Toimprovepower System Stability using Optimization Technique

2019 ◽  
Vol 8 (4) ◽  
pp. 11456-11459
Keyword(s):  
Power Flow ◽  
Reactive Power ◽  
Optimization Technique ◽  
System Stability ◽  
Unified Power Flow Controller ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
Ac Transmission ◽  
Power Flow Controller

Generally, power system faces the problem to transfer power from one system to another system without any fluctuations, with minimal of system losses. To overcome this problems, a flexible ac transmission system is implemented in this paper. In present scenario, facts devices are used to reduce the transmission losses for improvising transmission capacity and also to improve the system capability. Unified Power Flow Controller plays a most prominent role in FACTS controller to improve the system stability. The structure of UPFC is combination of back-back converters with boosting and zigzag transformer. This type of UPFC system consists of high losses due to presence of magnetic properties in this transformer. With this, a transformer-less multilevel inverter based UPFC topology is proposed in this paper. This paper focuses on the modulation of transformerless UPFC with PSO, which controlsfundamental frequency for better controlling of active and reactive power, harmonic minimization, and improvement in efficiency of system by controlling DC link voltage

scholarly journals Modeling of application the FACTS devices on the example of power system of United Power System of Center

2020 ◽  
Vol 178 ◽  
pp. 01045
Author(s):  
Alexey Udaratin ◽  
Kirill Loginov ◽  
Timur Akhmetov ◽  
Alexandr Nemirovskiy
Keyword(s):  
Power System ◽  
Power Flow ◽  
Reactive Power ◽  
Operation Mode ◽  
Normal Operation ◽  
Power Flow Control ◽  
Flexible Ac Transmission System ◽  
Facts Devices ◽  
United Power System ◽  
Ac Transmission

This paper considers installation of a flexible AC transmission system (FACTS) device on the 500 kV line of substation (SS) Belozerskaya - SS Vologodskaya of the United Power System of Center. Three FACTS devices in normal operation mode were modeled: a static reactive power compensator (STATCOM), a static synchronous series compensator, and a unified power flow control system. The obtained results are summarized in Table, which substantiates the choice of the best compensation for the Belozerskaya Vologodskaya line.

scholarly journals A Fuzzy Based Evolutionary Algorithm for Solving Multiobjective Optimal Power Flow with FACTS Devices

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
R. Vanitha ◽  
J. Baskaran
Keyword(s):  
Power System ◽  
Differential Evolution ◽  
Goal Programming ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Technique ◽  
Fuzzy Goal Programming ◽  
Facts Devices ◽  
Optimal Power ◽  
Fuzzy Goal

A new Fuzzy Differential Evolution (FDE) algorithm is proposed for solving multiobjective optimal power flow with FACTS devices. This new optimization technique combines the advantages of Weighted Additive Fuzzy Goal Programming (WAFGP) and Differential Evolution (DE) in enhancing the capacity, stability, and security of the power system. As the weights used in WAFGP would have a significant impact on the operational and economical enhancements achieved in the optimization, they are optimized using evolutionary DE algorithm. This provides a way for exploring a balanced solution for a multiobjective problem without sacrificing any individual objective’s uniqueness and priority. The multiple objectives considered are maximizing the loadability condition of the power system with minimum system real power loss and minimum installation cost of the FACTS devices. Indian utility Neyveli Thermal Power Station (NTPS) 23 bus system is used to test the proposed algorithm using multiple FACTS devices. The results compared with that of DE based fuzzy goal programming (FGP) demonstrates that DE based WAFGP algorithm not only provides a balanced optimal solution for all objectives but also provides the best economical solution.

Economic Load Dispatch

2018 ◽  
pp. 46-64 ◽  
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Transmission Loss ◽  
Electric Energy ◽  
Voltage Profile ◽  
Fuel Cost ◽  
Voltage Deviation ◽  
Fuel Cost Minimization

The main objective of the power system is to deliver electric energy to its loads economically and efficiently in a safe and reliable manner. Due to the complicated structure of the present power system network and competitive environment introduced by deregulation, optimal power flow (OPF) and optimal reactive power flow (ORPD) provide efficient exploitation of existing power generations. This chapter describes the detail problem formulation of OPF and ORPD problems. In this study, three different single objectives, namely fuel cost minimization, voltage profile improvement, and transmission loss minimization, are considered. Moreover, in order to judge the effectiveness of the proposed methods for multi-objective scenario, two bi-objectives, namely simultaneous minimization of fuel cost and voltage deviation; simultaneous minimization of fuel cost and transmission loss; and one tri-objective function, namely simultaneous minimization of fuel cost with voltage deviation and loss, are considered.

APPLICATION OF GENETIC ALGORITHM FOR PSS AND FACTS-BASED CONTROLLER DESIGN

2008 ◽  
Vol 05 (04) ◽  
pp. 607-620 ◽  
Author(s):  
SIDHARTHA PANDA ◽  
NARAYANA PRASAD PADHY
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Controller Design ◽  
Optimization Technique ◽  
System Stability ◽  
Nonlinear Simulation ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
System Stabilizer ◽  
Ac Transmission

This paper investigates the application of genetic algorithm (GA) for the design of a power system stabilizer (PSS) and a flexible ac transmission system (FACTS)–based controller to enhance power system stability. The design problem of the proposed controllers is formulated as an optimization problem and the GA optimization technique is employed to search for optimal controller parameters. The proposed controllers are tested on a weakly connected power system under various disturbances and loading conditions, and compared with a conventional PSS (CPSS). The eigenvalue analysis and nonlinear simulation results show the effectiveness and robustness of the proposed controllers.

scholarly journals Optimal Allocation of FACTS Devices by using multi-Objective Optimal Power Flow and Genetic Algorithms

2012 ◽  
pp. 218-224
Author(s):  
Aditya Tiwari ◽  
K.K. Swarnkar ◽  
Dr.S. Wadhwani ◽  
Dr.A.K. Wadhwani
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Allocation ◽  
Cost Effective ◽  
Transmission System ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Ac Transmission ◽  
The Cost

The introduction of the flexible AC transmission system (FACTS) in the power system reduces the losses, reduces the cost of the generation, improves the stability and also improves the load capability of the system. Some application of the Flexible AC transmission system (FACTS) technologies to existing high voltage power system has proves the use of FACTS technology may be a cost effective option for power delivery system enhancement. Amongst various power electronic devices unified power flow controller (UPFC) may be considered to be a capable of regulating the power flow and minimizing the power loss simultaneously. Since for the cost effective application of the FACTS technology a proper selection of the number and the placement of these devices is required. The main aim of this paper is to propose the methodology based on the genetic algorithm, able to identify the optimal number and the location of the UPFC devices in an assigned power system network for maximizing system capabilities. In order to validate the usefulness of the approach suggested here is , a case study using a IEEE 30-bus power system is presented and discussed.

scholarly journals Optimal location of unified power flow controller genetic algorithm based

2020 ◽  
Vol 11 (2) ◽  
pp. 886
Author(s):  
Sana Khalid Abdul Hassan ◽  
Firas Mohammed Tuaimah
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Power System ◽  
Transmission Line ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Optimal Location ◽  
Power Losses

<p>Now-a-days the Flexible AC Transmission Systems (FACTS) technology is very effective in improving the power flow along the transmission lines and makes the power system more flexible and controllable. This paper deals with overload transmission system problems such as (increase the total losses, raise the rate of power generation, and the transmission line may be exposed to shut down when the load demand increase from the thermal limit of transmission line) and how can solve this problem by choosing the optimal location and parameters of Unified Power Flow Controllers (UPFCs). which was specified based on Genetic Algorithm (GA) optimization method, it was utilized to search for optimum FACT parameters setting and location based to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. MATLAB was used for running both the GA program and Newton Raphson method for solving the load flow of the system The proposed approach is examined and tested on IEEE 30-bus system. The practical part has been solved through Power System Simulation for Engineers (PSS\E) software Version 32.0 (The Power System Simulator for Engineering (PSS/E) software created from Siemens PTI to provide a system of computer programs and structured data files designed to handle the basic functions of power system performance simulation work, such as power flow, optimal power flow, fault analysis, dynamic simulations...etc.). The Comparative results between the experimental and practical parts obtained from adopting the UPFC where too close and almost the same under different loading conditions, which are (5%, 10%, 15% and 20%) of the total load. can show that the total active power losses for the system reduce at 69.594% at normal case after add the UPFC device to the system. also the reactive power losses reduce by 75.483% at the same case as well as for the rest of the cases. in the other hand can noted the system will not have any overload lines after add UPFC to the system with suitable parameters.</p>

scholarly journals Implementation Optimal Location and Sizing of UPFC on Iraqi Power System Grid (132 kV) Using Genetic Algorithm

2018 ◽  
Vol 9 (4) ◽  
pp. 1607
Author(s):  
Ghassan Abdullah Salman ◽  
Mohammed Hasan Ali ◽  
Ali Najim Abdullah
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Location ◽  
Unified Power Flow Controller ◽  
Flexible Ac Transmission System ◽  
Intelligent Methods ◽  
Ac Transmission

Electric power systems required efficient processors and intelligent methods for sustainability therefore, in this paper used Flexible AC Transmission System (FACTS) device specifically Unified Power Flow Controller (UPFC) because of its useful properties on series and shunt devices and used Genetic Algorithm (GA) to determine the optimal location and values of UPFC to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. Consequently, all of these goals led to a reduction in the total cost of the power system. GA was applied to an Iraqi local power grid system (Diyala 132 kV) to find the optimal values and locations of UPFC for the purpose of achieving the objectives mentioned above using the MATLAB program. The simulation results showed the effectiveness of GA to calculate the optimum values and locations of UPFC and promising results were obtained for the Diyala power network (132 kV) with regard to the desired objectives.

Genetic Algorithm and Fuzzy Logic Based Optimal Location of Facts Device in a Power System Network

2006 ◽  
Vol 5 (2) ◽  
Author(s):  
Baskaran Jeevarathinam
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Power System ◽  
Optimization Technique ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Facts Controllers ◽  
The Stability ◽  
Ac Transmission ◽  
The Cost

The flexible AC transmission system (FACTS) in a power system improves the stability, reduces the losses, reduces the cost of generation and also improves the loadability of the system. In the proposed work, a non-traditional optimization technique, a Genetic Algorithm (GA) is conjunction with Fuzzy logic (FL) is used to optimize the various process parameters involved in introduction of FACTS devices in a power system. The various parameters taken into consideration were the location of the device, their type, and their rated value of the devices. The simulation was performed on a 30-bus power system with various types of FACTS controllers, modeled for steady state studies. The optimization results are compared to the solution given by another search method. This comparison confirms the efficiency of the proposed method which makes it promising to solve combinorial problem of FACTS device location in a power system network.

Flexible Genetic Algorithm Based Optimal Power Flow of Power Systems

2018 ◽  
Vol 24 (3) ◽  
pp. 84
Author(s):  
Hassan Abdullah Kubba ◽  
Mounir Thamer Esmieel
Keyword(s):  
Genetic Algorithm ◽  
Objective Function ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Test System ◽  
Multi Objective ◽  
Optimal Power ◽  
Blending Method ◽  
Real Coded Genetic Algorithm

Nowadays, the power plant is changing the power industry from a centralized and vertically integrated form into regional, competitive and functionally separate units. This is done with the future aims of increasing efficiency by better management and better employment of existing equipment and lower price of electricity to all types of customers while retaining a reliable system. This research is aimed to solve the optimal power flow (OPF) problem. The OPF is used to minimize the total generations fuel cost function. Optimal power flow may be single objective or multi objective function. In this thesis, an attempt is made to minimize the objective function with keeping the voltages magnitudes of all load buses, real output power of each generator bus and reactive power of each generator bus within their limits. The proposed method in this thesis is the Flexible Continuous Genetic Algorithm or in other words the Flexible Real-Coded Genetic Algorithm (RCGA) using the efficient GA's operators such as Rank Assignment (Weighted) Roulette Wheel Selection, Blending Method Recombination operator and Mutation Operator as well as Multi-Objective Minimization technique (MOM). This method has been tested and checked on the IEEE 30 buses test system and implemented on the 35-bus Super Iraqi National Grid (SING) system (400 KV). The results of OPF problem using IEEE 30 buses typical system has been compared with other researches.     

Sign in / Sign up

Export Citation Format

Share Document