scholarly journals IGSA-FA for Optimal Placement of FACTS Devices

2019 ◽  
Vol 9 (2) ◽  
pp. 2056-2060
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Operating Cost ◽  
Load Flow ◽  
Optimal Placement ◽  
Successful Implementation ◽  
Security Measures ◽  
Bus Voltage

With the globalization of power market by reducing the installation and operating cost of the power plant with profitable power flow controller leads to successful implementation of optimal power flow through optimal algorithms. Finding the solution of optimal load flow problem with non-linear equation such as Newton’s equation is one of the possible solution. However, applying Newton’s solution to OPF for finding convergence is a little bit tedious and time consuming affecting marginal losses by involving a number of inequalities present in the system. Transmission lines capacity and bus voltage limit are vital safety factors to carry out OPF in any power system The system being operational in normal state is equipped with security measures in order to discern that it is capable of resisting contingencies devoid of any limit contravention . To ensure a consistent power system function, it is essential that the safety of the system is duly accounted for in

scholarly journals Congestion Control by Optimal Engagement of Distribution Generation using Hybrid Evolutionary Algorithm

2019 ◽  
Vol 8 (12) ◽  
pp. 3329-3336
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimization Technique ◽  
Operating Cost ◽  
Stability Index ◽  
Bat Algorithm ◽  
Pso Algorithm ◽  
Optimal Placement ◽  
Improved Genetic Algorithm

The power system congestion is treated as a vital issue in the restructured topology of the power system. The analysis of appropriate technique to control congestion is of preeminent interest. This paper proposes a congestion controlling scheme with the optimal placement and sizing of the Distributed Generation (DG) so as to ensure an optimal power flow in the power system network. A multi-objective framework is formulated for the proposed approach considering the operating cost, Voltage Stability Index (VSI) and the system losses. A hybrid optimization technique is proposed involving Improved Genetic Algorithm (IGA) and Bat Algorithm (BA) to optimize the objectives proposed in this research. The efficiency of the proposed methodology is verified using IEEE 33 and 69 bus systems. A comparative analysis is established between the outcomes obtained with hybrid IGA-BA and Particle Swarm Optimization (PSO) technique. The output obtained clarifies that by combining IGA and BA, greater efficiency is achieved compared to the PSO algorithm output.

OPTIMAL POWER FLOW AND FAULT ANALYSIS USING UPFC

2020 ◽  
Vol 5 (8) ◽  
Author(s):  
Anuj Singh ◽  
Dr. Sandeep Sharma ◽  
Karan Sharma ◽  
Flansha Jain ◽  
Shreyanshu Kumar Jena
Keyword(s):  
Power System ◽  
Power Electronics ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Impedance Control ◽  
Fault Analysis ◽  
Unified Power Flow Controller ◽  
Bus Voltage ◽  
Power Flow Controller

A Power System is actually a vast system that requires an outstanding plan for maintaining the continual flow of electricity. When a fault occurs at the power system, number of difficulties arises because of transients in system. so to attenuate these transients, power electronics based devices like FACTS are utilized. A unified power flow controller (UPFC) is one among different power electronics controller which can dispense VAR compensation, line impedance control and phase shifting. The thought is to see potential of UPFC to require care of active and reactive power movement within the compensated line (including UPFC) and to shrink the falloff of the bus voltage in case of grounding fault within the cable. power system block consisting of simulink is used for numerical analysis. Simulation outcomes from MATLAB reflects major improvement in the overall system’s behaviour with UPFC in sustain the voltage and power flow even under severe line faults by proper injection of series voltage into the cable at the point of connection. outcomes shows how the UPFC contributes effectively to a faster regaining of the power system to the pre-fault conditions.

Containing Wind Farm Power System Probabilistic Optimal Power Flow Calculation Using the Method of Combined Cumulants and Gram-Charlier Expansion

2014 ◽  
Vol 1070-1072 ◽  
pp. 193-199
Author(s):  
Min Jiang Chen ◽  
Yue Qing Chen ◽  
Wang Chao Dong ◽  
Bei Wu
Keyword(s):  
Power System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Farm ◽  
Synchronous Generator ◽  
Load Flow ◽  
Probabilistic Load Flow ◽  
The Monte Carlo Method ◽  
Probabilistic Load ◽  
Node Voltage

This paper uses the optimal probabilistic load flow method for power containing wind farm analysis. Based on Computation of optimal load flow using the Interior point method ,considering the stochasticlal power output of wind generator and the random outage of synchronous generator and the stochastic of load power, calculating the probability distribution of branch power flow and node voltage. This paper uses RTS-24 as the example to analysis the method ,and comparison the results with that of the Monte-Carlo method, to analysis the change of power system after the grid connected of wind turbine.

scholarly journals Load Flow Analysis in Hybrid AC-DC Transmission Network

2021 ◽  
pp. 617-624
Author(s):  
Ajith M ◽  
Dr. R. Rajeswari
Keyword(s):  
Power Systems ◽  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Reactive Power ◽  
Short Circuit ◽  
Flow Analysis ◽  
Load Flow ◽  
System Stability ◽  
And Control

Power-flow studies are of great significance in planning and designing the future expansion of power systems as well as in determining the best operation of existing systems. Technologies such as renewables and power electronics are aiding in power conversion and control, thus making the power system massive, complex, and dynamic. HVDC is being preferred due to limitations in HVAC such as reactive power loss, stability, current carrying capacity, operation and control. The HVDC system is being used for bulk power transmission over long distances with minimum losses using overhead transmission lines or submarine cable crossings. Recent years have witnessed an unprecedented growth in the number of the HVDC projects. Due to the vast size and inaccessibility of transmission systems, real time testing can prove to be difficult. Thus analyzing power system stability through computer modeling and simulation proves to be a viable solution in this case. The motivation of this project is to construct and analyze the load flow and short circuit behavior in an IEEE 14 bus power system with DC link using MATLAB software. This involves determining the parameters for converter transformer, rectifier, inverter and DC cable for modelling the DC link. The line chosen for incorporation of DC link is a weak bus. This project gives the results of load flow and along with comparison of reactive power flow, system losses, voltage in an AC and an AC-DC system.

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 Shunt Compensaton of the Integrated Nigeria’s 330KV Transimission Grid System

2020 ◽  
Vol 5 (9) ◽  
pp. 537-540
Author(s):  
Engr. Obi, Fortunatus Uche ◽  
Aghara, Jachimma ◽  
Prof. Atuchukwu John
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Research Work ◽  
Load Flow ◽  
Sudden Increase ◽  
Grid System ◽  
Voltage Profile ◽  
Contingency Analysis ◽  
Shunt Compensation

The Nigerian Power system is complex and dynamic, as a result of this it is characterized by frequent faults and outages resulting to none steady supply of power to the teaming consumers. This has great effect on the activities and mode of living of Nigerians. The research work was carried out on contingency analysis on the existing integrated 330KV Nigeria grid system and to carry out a shunt compensation on the violated buses, the shutdown of Eket-Ibom line being the case study so as to determine the following; uncertainties and effects of changes in the power system, to recognize limitations that can affect the power reliability and minimize the sudden increase or decrease in the voltage profile of the buses through shunt compensation of buses. Determine tolerable voltages and thermal violation of +5% and -5% of base voltage 330 KV (0.95-1.05) PU and to determine the critical nature and importance of some buses. This is aimed at bridging the gap of proposing further expansion of the grid system which is not only limited by huge sum of finance and difficulties in finding right – of- way for new lines but also which faces the challenges of fixed land and longtime of construction. The data of the network was gotten and modeled. The power flow and contingency analysis of the integrated Nigeria power system of 51 buses (consisting of 16 generators and 35 loads) and 73 transmission lines were carried out using Newton-Raphson Load Flow (NRLF) method in Matlab environment, simulated with PSAT software. Shunt compensation of the weak buses were done using Static Var Compensator (SVC) with Thyristor Controlled Reactor- Fixed capacitor (TCR-FC) technique. Results obtained showed that the average voltage for base simulation was 326.25KV, contingency 323.67KV and compensation was 322.37 KV. Voltage violations for lower limit were observed at Itu as 309KV and Eket as 306.81 KV while violations for upper limit were recorded at Damaturu as 352.85KV, Yola as 353.62 KV, Gombe as 355.98KV, and Jos as 342.97 KV. However after shunt compensation there were improvements for the violations at lower limits and that of higher limit were drastically brought down as recorded below: Damaturu 329.93 KV, Jos 330 KV, Eket 327.2 KV, Gombe 333.55KV, Itu 330KV, and Yola 330.52KV

scholarly journals Congestion Management and Transmission Line Loss Reduction using TCSC and Market Split Based

2019 ◽  
Vol 8 (9S) ◽  
pp. 339-346
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Congestion Management ◽  
Transmission System ◽  
System Stability ◽  
Deregulated Power System ◽  
Congestion Effect ◽  
Flexible Alternating Current Transmission

Due to increasing power demand in a deregulated power system, the stability of the power system may get affected and sometimes it may also cause congestion in the transmission lines of power networks. It is a major issue for a deregulated power system and its management provides a competition environment to different market players. In this paper, market split based approach is used to tackle the problem of congestion which split the system into zones. Locational Marginal Pricing (LMP) method is used to access the prices at different buses. The objective is to minimize the congestion effect. DC optimal power flow based system is used to solve such type of problem. TCSC (Thyristor-Controlled Series Compensation), FACTS (Flexible Alternating Current Transmission System) device is used to reduce the losses in a transmission system. Market splitting based approach is effective to manage the prices at different buses and system stability is increased by using TCSC. The whole work is carried out on IEEE 14 bus system.

scholarly journals Particle Swarm Optimization- Artificial Neural Network For Power System Load Flow

2012 ◽  
pp. 180-189
Author(s):  
Avnish Singh ◽  
Shishir Dixit ◽  
L. Srivastava
Keyword(s):  
Neural Network ◽  
Particle Swarm Optimization ◽  
Power System ◽  
Power Flow ◽  
Flow Problem ◽  
Particle Swarm ◽  
Load Flow ◽  
Feed Forward Neural Network ◽  
Swarm Optimization ◽  
Bus Voltage

Load flow study is done to determine the power system static states (voltage magnitudes and voltage angles) at each bus to find the steady state working condition of a power system. It is important and most frequently carried out study performed by power utilities for power system planning, optimization, operation and control. In this paper a Particle Swarm Optimization Neural Network (PSO-ANN) is proposed to solve load flow problem under different loading/ contingency conditions for computing bus voltage magnitudes and angles of the power system. A multilayered feed-forward neural network is trained by using PSO technique. The results show the effectiveness of the proposed PSO-ANN based approach for solving power flow problem having different loading conditions and single-line outage contingencies in IEEE 14 bus system

scholarly journals Optimal Power Flow in Uncertain Power System

2020 ◽  
Vol 9 (3) ◽  
pp. 2312-2320
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Stability Index ◽  
Load Flow ◽  
Optimal Load ◽  
Increasing Demand ◽  
Index Value

Due to the increasing demand of electricity in ever-growing electricity market, it is necessary to observe the nature of load and map the effects of load uncertainties on the operation of power system. These uncertainties have also led to voltage instability which is sooner or later considered to be a fundamental cause of blackouts. The distributed generation sources can also be regarded as the source of uncertainties at the load ends of power systems. Along with the load uncertainties, wind turbine generation (WTG) and solar plants have also been used as a source of uncertainties in this paper. The load uncertainties have been incorporated in the system by designing a dynamic load flow program. Corresponding to all uncertain inputs critical case has been identified by the singularity property of load flow jacobian. For the optimal load flow a multi-objective optimization problem aiming to constrained objective function to enhance voltage stability, improve stability index value, reduce system losses and increase reactive reserve margins at generator buses has been formulated. Black hole algorithm has been used to achieve the optimal values of control variables and hence optimal load flow. The aforementioned problem has been tested on standard IEEE-14 bus system.

Optimal Location of STATCOM, SSSC, and UPFC Devices for Solving OPF and ORPD Problem Using Different Evolutionary Optimization Techniques

2018 ◽  
pp. 274-317
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Power Transmission ◽  
Optimal Placement ◽  
Unified Power Flow Controller ◽  
Krill Herd Algorithm ◽  
Facts Devices ◽  
Bus Voltage ◽  
Evolutionary Optimization Techniques

The development of FACTS devices based on the advance of semiconductor technology opened up new opportunities for controlling the power flow and extending the load ability of the power transmission network. Amongst the various FACTS devices, the UPFC is considered the most versatile FACTS device that can simultaneously control bus voltage and both active and reactive power flow through the transmission line. This chapter discusses the implementation of grey wolf optimization (GWO), teaching-learning-based optimization (TLBO), biogeography-based optimization (BBO), krill herd algorithm (KHA), chemical reaction optimization (CRO), and hybrid CRO (HCRO) approaches to find the optimal placement and parameter setting of unified power flow controller (UPFC) to achieve the optimal performance of optimal power flow (OPF) and optimal reactive power dispatch (ORPD) problems. Two test systems, namely IEEE 14-bus and IEEE 30 with valve-point non-linearity, are considered to demonstrate the effectiveness of proposed approaches.

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