scholarly journals REVIEW PAPER ON OPTIMAL LOCATION OF SHUNT FACTS DEVICES BY EVOLUTIONARY PROGRAMMING BASED ON OPTIMAL POWER FLOW IN POWER SYSTEM.

2016 ◽  
pp. 196-199
Author(s):  
PRANALI H. DEKATE
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Power Transmission ◽  
Sensitivity Index ◽  
Voltage Profile ◽  
Computation Techniques ◽  
Facts Devices ◽  
Optimal Power

The modern power system is operating closed to its voltage and thermal instability limits. The present transmission network was not originally planned for heavy power trading in the market. The time is to maximize the utilization of existing transmission lines and to manage the congestion. FACTS (Flexible AC transmission system) devices are having capability of improving power transmission, improving voltage profile, minimizing power losses, etc. This paper presents a review on how FACTS devices are used to provide the maximum relief to the congested line by computation techniques. The proposed paper uses sensitivity index to locate FACTS devices optimally. These computation techniques are used solve the OPF (Optimal Power Flow) problems on various IEEE buses.

scholarly journals OPTIMAL POWER FLOW WITH TCSC DEVICE USING CUCKOO OPTIMIZATION ALGORITHM

2018 ◽  
Vol 54 (3A) ◽  
pp. 52
Author(s):  
Duong Thanh Long
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Power Transmission ◽  
Optimization Techniques ◽  
Operating Conditions ◽  
Cuckoo Optimization Algorithm ◽  
Facts Devices ◽  
Optimal Power

Optimal Power Flow (OPF) problem is an optimization tool through which secure and economic operating conditions of power system is obtained. In recent years, Flexible AC Transmission System (FACTS) devices, have led to the development of controllers that provide controllability and flexibility for power transmission. Series FACTS devices such as Thyristor controlled series compensators (TCSC), with its ability to directly control the power flow can be very effective to power system security. Thus, integration TCSC in the OPF is one of important current problems and is a suitable method for better utilization of the existing system. This paper is applied Cuckoo Optimization Algorithm (COA) for the solution of the OPF problem of power system equipped with TCSC. The proposed approach has been examined and tested on the IEEE 30-bus system. The results presented in this paper demonstrate the potential of COA algorithm and show its effectiveness for solving the OPF problem with TCSC devices over the other evolutionary optimization techniques.

scholarly journals OPTIMALLY LOCATED SVC FOR TRANSMISSION OF RENEWABLE ENERGY IN LARGE POWER SYSTEM

2013 ◽  
pp. 233-236
Author(s):  
M.LAXMI DEVI ◽  
SK.SHAKEER AHAMMAD ◽  
G.SRINIVASULU REDDY
Keyword(s):  
Power System ◽  
Flow Control ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Location ◽  
Sensitivity Index ◽  
Large Power ◽  
Power Flow Control ◽  
Facts Devices ◽  
Optimal Power

Shunt FACTS devices provide the possibility to control voltages and therefore to improve the security of the system. In order to use this possibility, the optimal location and the set values of the FACTS controllers have to be selected correctly. The singular analysis of the power system Jacobian matrix are applied to identify the optimal location of shunt FACTS devices in large power systems. Furthermore the application of Optimal Power Flow control is a possible method for choosing set values. In this paper a sensitivity index for the detection of sensor nodes is defined. Sensitivity analysis is used to determine the area on which the FACTS device has significant influence. And then only this limited area is included in the Optimal Power Flow control, because it is very difficult to include the entire system into the optimization process. Matlab code is written to find the optimal location of Shunt Facts device i.e., SVC. Furthermore the objective function of Optimal Power Flow control is analyzed. This function consists of three components. A certain type of FACTS is not able to influence all these components.

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.

Quasi Oppositional Teaching-Learning based Optimization for Optimal Power Flow Incorporating FACTS

2016 ◽  
Vol 5 (2) ◽  
pp. 64-84 ◽  
Author(s):  
Susanta Dutta ◽  
Provas Kumar Roy ◽  
Debashis Nandi
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Parameter ◽  
Electric Power Supply ◽  
Facts Devices ◽  
Optimal Power ◽  
Teaching Learning Based Optimization ◽  
Simulation Results ◽  
Teaching Learning

In this paper, quasi-oppositional teaching-learning based optimization (QOTLBO) is introduced and successfully applied for solving an optimal power flow (OPF) problem in power system incorporating flexible AC transmission systems (FACTS). The main drawback of the original teaching-learning based optimization (TLBO) is that it gives a local optimal solution rather than the near global optimal one in limited iteration cycles. In this paper, opposition based learning (OBL) concept is introduced to improve the convergence speed and simulation results of TLBO. The effectiveness of the proposed method implemented with MATLAB and tested on modified IEEE 30-bus system in four different cases. The simulation results show the effectiveness and accuracy of the proposed QOTLBO algorithm over other methods like conventional BBO and hybrid biogeography-based optimization (HDE-BBO). This method gives better solution quality in finding the optimal parameter settings for FACTS devices to solve OPF problems. The simulation study also shows that using FACTS devices, it is possible to improve the quality of the electric power supply thereby providing an economically attractive solution to power system problems.

Predictive machine learning and data acquisition for power quality improvement in facts devices with optimum power flow control based on cross difference progression and coordination examining algorithm

2019 ◽  
Vol 18 (01) ◽  
pp. 1941024
Author(s):  
A. Mohamed Ibrahim ◽  
C. Karthikeyan
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Power Transmission ◽  
Load Capacity ◽  
Principal Component ◽  
Optimization Techniques ◽  
Power Transmission Lines ◽  
Optimal Power ◽  
The Cross

Flexible AC Transmission Systems (FACTS) present a decision to issue trouble relief for over-extended electric power transmission lines as a result of optimal power flow (OPF) by controlling. To keep away from conventional impacts among a few gadgets placed in a similar grid, an organized control is fundamental. To defeat the issues which happen in optimal power flow to actualize the cross difference progression and coordination inspects strategy, a supervisory controller giving difference progression power flow with numerous destinations is acquired for avoiding congestion, it gives secure transmission and farthest point dynamic power misfortunes. There is no information on gadgets that have been defined in this systematic control of Thyristor controlled series capacitor (TCSC) and Thyristor controlled phase shifting Transformer (TCPST), static VAR compensator (SVC), all of these compensators providing efficient improvements and situations are described. Different optimization techniques are used as a part of the character to deal with the problem of OPF. In some experimental works, the upgrade method is used for finding out all of the fuel costs or the environmental pollution that occurs during the generation of energy. However, in some further research actions, FACTS controlled devices are used to develop the flow of electricity without considering the cost of electricity generation. While a specific end goal of using the FACTS control devices is to help optimize the congestion in the power system, it also aggregates the power loss which enhances the load capacity of the structure. The FACTS and its practical limitations are executed into the IEEE 30-bus test power framework and customized utilizing the Cross Difference Progression and Coordination Examining (CDP&CE) algorithm with MATLAB and the outcomes are given. Here, IoT-based data analytics is defined as the process, which is used to examine varied data from the bus system using Principal Component Analysis (PCA) method, the results of which help to take the necessary decisions. The effect of FACTS gadgets is implemented on standard IEEE-30 transmission framework with supporting numerical outcomes by utilizing MATLAB Software.

scholarly journals Voltage Profile Improvement through Load Shedding Action Using Linear Programming-based Optimal Power Flow

INSIST ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 115
Author(s):  
Lukmanul Hakim ◽  
Annisa Zauhar Nafisah ◽  
Heri Gusmedi ◽  
Khairudin Khairudin
Keyword(s):  
Linear Programming ◽  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Test System ◽  
Load Shedding ◽  
Programming Approach ◽  
Voltage Profile ◽  
Optimal Power ◽  
Voltage Variation

This paper proposes a load shedding scheme to improve voltage profile of a power system. A linear programming approach to optimal power flow is utilized to obtain optimum amount of load to shed in order to bring power system to an acceptable operating region. In this work, ±5% voltage variation is considered to be acceptable and hence, an immediate control action should be taken if power system is operated beyond this limit. The proposed method was tested on the IEEE 57-bus test system. Results showed that the proposed approach was able to provide a minimum amount of load shedding action to improve voltage profile of the studied power system.

scholarly journals OPTIMAL POWER FLOW USING STATCOM

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Tanisha Bharol ◽  
Pranjali Bora ◽  
Sravani Sai M ◽  
Dhruvi Bansal ◽  
Dr. Sandeep Sharma
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Stability Limit ◽  
Active Power ◽  
Main Concern ◽  
Optimal Power ◽  
Active Power Flow

— In power system, active power flow is the main concern in order to manage the demand supply. The maximum use of the transmission lines under their stability limit is very much required. Flexible alternating current transmission system (FACTS) device are very much useful to control power system parameters. A STATCOM (STATCOM) is a FACTS device which is able to control active and reactive power with voltage magnitude and phase angle. In this paper, STATCOM is used in a 10 bus system to control the flow of active power under contingency condition. Simulation result shows the effectiveness of the STATCOM in providing the optimal power flow in the power system considered here.

scholarly journals Modern Swarm Intelligence based Algorithms for Solving Optimal Power Flow Problem in a Regulated Power System Framework

2021 ◽  
Vol 12 (2) ◽  
pp. 1786-1793
Author(s):  
Vijaya Bhaskar K, Et. al.
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Stability Index ◽  
Voltage Profile ◽  
Dragonfly Algorithm ◽  
Statistical Measures ◽  
Optimal Power ◽  
Decision Variables ◽  
Optimal Values

This paper presents artificial swarm intelligent based algorithms viz., Firefly Algorithm (FFA), Dragonfly Algorithm (DA) and Moth Swarm Algorithm (MSA) to take care of the issues related to optimal power flow (OPF) problem in a power system network. The optimal values of various decision variables obtained by swarm intelligent based algorithms can optimize various objective function of OPF problem. This article is focused with four objectives such as minimization of total fuel cost (TFC) and total active power loss (TAPL); improvisation of total voltage profile (TVD) and voltage stability index (VSI). The effectiveness of various swam intelligent algorithms are investigated on a standard IEEE-30 bus. The performance of distinct algorithms is compared with statistical measures and convergence characteristics.

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