scholarly journals ATC using FACTS Devices in Deregulated Power Systems

2017 ◽  
Vol 7 (2 (S)) ◽  
pp. 214
Author(s):  
Prakash Burade ◽  
Rajendra Sadafale ◽  
Anand Satpute
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Power Systems ◽  
Ant Colony Optimization ◽  
Power Flow ◽  
Reactive Power ◽  
Integer Optimization ◽  
Thermal Limits ◽  
Facts Devices ◽  
Deregulated Power Systems

A Repeated Power Flow with FACTS devices including ATC is used to evaluate the feasible ATC value within real and reactive power generation limits, line thermal limits, voltage limits and FACTS operation limits. An IEEE-30 bus system is used to demonstrate the effectiveness of the algorithm as an optimization tool to enhance ATC. A Genetic Algorithm technique is used for validation purposes. Introduction of FACTS devices in a right combination of location and parameters could enhance ATC and Ant Colony optimization can be efficiently used for this kind of nonlinear integer optimization.

An ant colony optimization algorithm-based emergency control strategy for voltage collapse mitigation

2012 ◽  
Vol 3 (2) ◽  
pp. 147-156 ◽  
Author(s):  
R. A. El-Sehiemy ◽  
A. A. A. El Ela ◽  
A. M. M. Kinawy ◽  
M. T. Mouwafia
Keyword(s):  
Power Systems ◽  
Ant Colony Optimization ◽  
Power Flow ◽  
Reactive Power ◽  
Test System ◽  
Ant Colony ◽  
Voltage Collapse ◽  
Ant Colony Optimization Algorithm ◽  
Preventive Control ◽  
Control Actions

Abstract This paper presents optimal preventive control actions using ant colony optimization (ACO) algorithm to mitigate the occurrence of voltage collapse in stressed power systems. The proposed objective functions are: minimizing the transmission line losses as optimal reactive power dispatch (ORPD) problem, maximizing the preventive control actions by minimizing the voltage deviation of load buses with respect to the specified bus voltages and minimizing the reactive power generation at generation buses based on control variables under voltage collapse, control and dependent variable constraints using proposed sensitivity parameters of reactive power that dependent on a modification of Fast Decoupled Power Flow (FDPF) model. The proposed preventive actions are checked for different emergency conditions while all system constraints are kept within their permissible limits. The ACO algorithm has been applied to IEEE standard 30-bus test system. The results show the capability of the proposed ACO algorithm for preparing the maximal preventive control actions to remove different emergency effects.

scholarly journals The Optimization of the Location and Capacity of Reactive Power Generation Units, Using a Hybrid Genetic Algorithm Incorporated by the Bus Impedance Power-Flow Calculation Method

2020 ◽  
Vol 10 (3) ◽  
pp. 1034
Author(s):  
Insu Kim
Keyword(s):  
Genetic Algorithm ◽  
Power Generation ◽  
Calculation Method ◽  
Power Flow ◽  
Distribution Systems ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Hybrid Genetic Algorithm ◽  
Power Flow Calculation ◽  
Flow Calculation

Dynamic and static reactive power resources have become an important means of maintaining the stability and reliability of power system networks. For example, if reactive power is not appropriately compensated for in transmission and distribution systems, the receiving end voltage may fall dramatically, or the load voltage may increase to a level that trips protection devices. However, none of the previous optimal power-flow studies for reactive power generation (RPG) units have optimized the location and capacity of RPG units by the bus impedance matrix power-flow calculation method. Thus, this study proposes a genetic algorithm that optimizes the location and capacity of RPG units, which is implemented by MATLAB. In addition, this study enhances the algorithm by incorporating bus impedance power-flow calculation method into the algorithm. The proposed hybrid algorithm is shown to be valid when applied to well-known IEEE test systems.

scholarly journals Optimal Power Flow Incorporating FACTS Devices and Stochastic Wind Power Generation Using Krill Herd Algorithm

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1043 ◽  
Author(s):  
Arsalan Abdollahi ◽  
Ali Ghadimi ◽  
Mohammad Miveh ◽  
Fazel Mohammadi ◽  
Francisco Jurado
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Wind Power Generation ◽  
Krill Herd Algorithm ◽  
Facts Devices ◽  
Optimal Power ◽  
Krill Herd

This paper deals with investigating the Optimal Power Flow (OPF) solution of power systems considering Flexible AC Transmission Systems (FACTS) devices and wind power generation under uncertainty. The Krill Herd Algorithm (KHA), as a new meta-heuristic approach, is employed to cope with the OPF problem of power systems, incorporating FACTS devices and stochastic wind power generation. The wind power uncertainty is included in the optimization problem using Weibull probability density function modeling to determine the optimal values of decision variables. Various objective functions, including minimization of fuel cost, active power losses across transmission lines, emission, and Combined Economic and Environmental Costs (CEEC), are separately formulated to solve the OPF considering FACTS devices and stochastic wind power generation. The effectiveness of the KHA approach is investigated on modified IEEE-30 bus and IEEE-57 bus test systems and compared with other conventional methods available in the literature.

scholarly journals Voltage Stability Improvement with finest position of UPFC using GA &PSO

2021 ◽  
Vol 7 (03) ◽  
pp. 280-285
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Flow ◽  
Voltage Stability ◽  
Reactive Power ◽  
Fitness Function ◽  
Electrical Power ◽  
Stability Index ◽  
Unified Power Flow Controller ◽  
Facts Devices

Power system is a largely inter connected network, due to this interconnection some of the lines may get over loaded and voltage collapse will occur , hence these lines are called weak lines, this causes serious voltage instability at the particular lines of the power system. The improvement of stability will achieve by controlling the reactive power flow. The Flexible Alternating Current Transmission Systems (FACTS) devices have been proposed to effectively controlling the power flow in the lines and to regulate the bus voltages in electrical power systems, resulting in an increased power transfer capability, low system losses and improved stability. In FACTS devices the Unified Power Flow Controller (UPFC) is one of the most promising device for power flow control. It can either simultaneously or selectively control both real and reactive flow and bus voltage. UPFC is a combination of shunt and series compensating devices. Optimal location of UPFC is determined based on Voltage Stability Index (VSI). GA and PSO techniques are used to set the parameters of UPFC [6]. The objective function formulated here is fitness function, which has to be maximized for net saving. The results obtained using PSO on IEEE 14 Bus is compared with that of results obtained using GA, to show the validity of the proposed techniques and for comparison purposes

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 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.

Shunt-Series FACTS Devices on Network Constrained Unit Commitment

2016 ◽  
Vol 5 (1) ◽  
pp. 40
Author(s):  
G.A. M. Hosaini Hajivar ◽  
S.S. Mortazavi
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Reactive Power ◽  
Unit Commitment ◽  
Normal Operation ◽  
Voltage Profile ◽  
Facts Devices ◽  
Reactive Power Flow ◽  
Generation Cost ◽  
Shunt Series

<p>Shunt-Series FACTS Devices (SSFD) would play an important role in maintaining security and reduce Total Generation Cost (TGC) in the economical operation of power systems. The application of this devices to the AC model of Network-Constrained Unit Commitment (NCUC) for the day ahead scheduling is presented in this paper. The proposed AC model of NCUC with SSFD would include active and reactive power flow constraints which increase the network controllability at normal operation. A general SSFD model is introduced for the reactive power management in NCUC which is based on the reactive power injection model (RPIM). The case studies reveal that power transfer capability and voltage profile of the power system is improved by compensating SSFD. Meanwhile simulation results demonstrate the combined use of these devices to NCUC have a significant impact on maintaining network security,  lower TGC and increase using the maximum capacity of the existing transmission network.</p><p> </p>

FACTS Devices Allocation for Power Transfer Capability Enhancement and Power System Losses Reduction

2013 ◽  
Vol 2 (2) ◽  
pp. 1-14 ◽  
Author(s):  
Peerapol Jirapong
Keyword(s):  
Tabu Search ◽  
Power Systems ◽  
Power Loss ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Evolutionary Programming ◽  
Optimal Placement ◽  
Facts Devices ◽  
Transfer Capability

In this paper, a hybrid evolutionary algorithm (HEA) is proposed to determine the optimal placement of multi-type flexible AC transmission system (FACTS) devices to simultaneously maximize the total transfer capability (TTC) and minimize the system real power loss of power transfers in deregulated power systems. Multi-objective optimal power flow (OPF) with FACTS devices including TTC, power losses, and penalty functions is used to evaluate the feasible maximum TTC value and minimum power loss within real and reactive power generation limits, thermal limits, voltage limits, stability limits, and FACTS devices operation limits. Test results on the modified IEEE 30-bus system indicate that optimally placed OPF with FACTS by the HEA approach could enhance TTC far more than those from evolutionary programming (EP), tabu search (TS), hybrid tabu search and simulated annealing (TS/SA), and improved evolutionary programming (IEP) algorithms, leading to much efficient utilization of the existing transmission systems.

Impact of Shunt FACTS Devices on Security Constrained Unit Commitment

2016 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
G. A. M. Hosaini Hajivar ◽  
S. S. Mortazavi
Keyword(s):  
Power Systems ◽  
Power Flow ◽  
Reactive Power ◽  
Unit Commitment ◽  
Normal Operation ◽  
Facts Devices ◽  
Reactive Power Flow ◽  
Power Injection ◽  
Injection Model ◽  
Generation Cost

Shunt FACTS Devices (SFD) would play an important role in maintaining security and reduce total generation cost in the economical operation of power systems. The application of this device to the AC model of securityconstrained unit commitment (SCUC) for the day ahead scheduling is presented in this paper. The proposed AC model of SCUC with SFD would include active and reactive power flow constraints which increase the network controllability at normal operation and contingency. A general SFD model is introduced for the reactive power management in SCUC which is based on the reactive power injection model (RPIM). The case studies demonstrate the effectiveness of the SFD application to SCUC with AC network constraints. Meanwhile simulation results demonstrate the combined use of these devices to SCUC have a significant impact on maintaining network security, preventing load shedding, lower total generation cost and increase using the maximum capacity of the existing transmission network.

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