scholarly journals Optimal power flow with optimal placement TCSC device on 500 kV Java-Bali electrical power system using genetic Algorithm-Taguchi method

2018 ◽  
Author(s):  
Chico Hermanu Brillianto Apribowo ◽  
Muhammad Hamka Ibrahim ◽  
F. X. Rian Wicaksono
Keyword(s):  
Genetic Algorithm ◽  
Taguchi Method ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Optimal Placement ◽  
Electrical Power System ◽  
Optimal Power

Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation

2013 ◽  
Vol 278-280 ◽  
pp. 1314-1317
Author(s):  
Li Xiao
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Point System ◽  
Electrical Power System ◽  
Optimal Power ◽  
System Optimal ◽  
Comprehensive Search ◽  
Introduction Vector

Proposed one kind of improvement artificial immunization algorithm calculates the electrical power system most superior tidal current, this algorithm maintained the basic immunity algorithm comprehensive search ability, also the concept which is apart from through the introduction vector causes the immunity algorithm theoretically to guarantee the understanding the multiplicity. Through the IEEE-30pitch point system computed result indicated this algorithm is feasible. And so on compares with the heredity algorithm, this algorithm overall situation search ability strong, the convergence rate is quick.

scholarly journals LP based solution for Security Constrained Optimal Power Flow including Power Routers

2020 ◽  
Vol 15 ◽  
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Flow Analysis ◽  
Time Frame ◽  
Electrical Power System ◽  
Piecewise Linearization ◽  
Dc Power ◽  
Optimal Power

Power Routers offers many benefits to the power system, it helps in improving the existing transmission asset utilization. Security Constrained Optimal Power Flow (SCOPF) is becoming more important in the electrical power system especially in the present deregulated environment. This paper focuses on completely linearizing the complex non-linear SCOPF problem. The objective function is linearized using Piecewise linearization technique and the constraints are framed using linear sensitivity factors. A formal extension is made to the traditional SCOPF by including power router control in the post contingency time frame. DC power flow analysis is used to calculate the real power flow in the lines.Thus, in this paper, further minimization of cost is achieved by using Power Router control and it is compared with the conventional SCOPF.

scholarly journals Optimal Placement of FACTS Controllers for Congestion Management in the Deregulated Power System

2018 ◽  
Vol 8 (3) ◽  
pp. 1336
Author(s):  
S. Surender Reddy
Keyword(s):  
Power System ◽  
Optimal Power Flow ◽  
Transmission Loss ◽  
Electrical Power ◽  
Congestion Management ◽  
Optimal Location ◽  
Optimal Placement ◽  
Total System ◽  
Electrical Power System ◽  
Facts Controllers

This paper proposes a methodology to determine the optimal location of Flexible AC Transmission System (FACTS) controllers for Congestion Management (CM) in the restructured electrical power system. An approach to find the optimum placement of Thyristor Controlled Phase Angle Regulators (TCPAR) and Thyristor Controlled Series Compensators (TCSC) has been proposed in this paper. The proposed methodology is based on the sensitivity of transmission loss which a controller is installed. The total system losses and the power flows are considered as the performance indices. The traditional optimal power flow (OPF) problem is modified to include the market players, who will compete and trade simultaneously, ensuring the system operation stays within the security limits. In this paper, pool and bilateral contracts are considered. Here, an integrated methodology is proposed that includes the FACTS Controllers in a bilateral contract framework to maintain the system security and to minimize the deviations from the contractual requirements. The simulation results on IEEE 30 bus system show that the sensitivity factors could be used effectively for the optimal location of FACTS controllers in response to the required objectives.

scholarly journals Use of Genetic Algorithm on Optimal Power Flow: An Illustration of Transmission Line Loss Minimization

2018 ◽  
Vol 1 (1) ◽  
pp. 1-4
Author(s):  
Bishal Lamichhane ◽  
Mahesh Chandra Luintel
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Transmission Line ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Problem Formulation ◽  
System Optimization ◽  
Loss Minimization ◽  
Optimal Power ◽  
Broad Concept

This paper presents the usefulness and effectiveness of Genetic Algorithm on solving Optimal Power Flow (OPF) problem formulation of a real world power system. Optimization is a broad concept that is generally directly or indirectly related to cost factor. In this case, transmission lines loss minimization is presented as the objective of optimization problem formulation keeping all other technical factors and parameters under operating constraints. Results of this study, presented in the Integrated Nepal Power System (INPS) transmission line network show that the Genetic Algorithm is effective method to optimize the power flow via assigned objective of transmission loss minimization in much quicker and effective way when compared to conventional Newton-Rapshon method.

scholarly journals HEURISTIC METHODE FOR OPTIMIZING POWER LOAD FLOW ANALYSIS IN ELECTRICAL POWER SYSTEM

2010 ◽  
Vol 13 (2) ◽  
pp. 36-45
Author(s):  
Anh Huy Quyen ◽  
Anh Viet Truong ◽  
Huong Thi Thanh Vi
Keyword(s):  
Power System ◽  
Optimal Power Flow ◽  
Electrical Power ◽  
Flow Analysis ◽  
Load Flow ◽  
Electrical Power System ◽  
Large Power ◽  
Load Flow Analysis ◽  
Optimal Power ◽  
Power Load

The primary goal of a generic optimal power load flow problem Is minimizing total fuel costs of generating units in an electrical power system while maintaining the security of the system. This paper presents an algorithm for optimizing power load flow analysis through the application of Newton ’s method and attends to interchange power between the different power systems. Specifically, it will explore the implementation of data structure such as the binary tree in searching OPF variables (controls, states, constraints) in large power system. So the OPF solution is quickly converging. The primary goal of a generic OFF has been tested by simulation method for 6- bus system in Power World environment. The optimal power flow results is shown that total generation fuel cost in the interchange power case is less expensive than in no interchange power case as well as total transmission losses in the power system are smaller.

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.     

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