Transmission Congestion Management of IEEE 24-Bus Test System by Optimal Placement of TCSC

2018 ◽  
Author(s):  
N Padmini ◽  
Pallavi Choudekar ◽  
Mehtab Fatima
Keyword(s):  
Congestion Management ◽  
Test System ◽  
Optimal Placement ◽  
Transmission Congestion

Transmission Congestion Management and Pricing in Simple Auction Electricity Markets

2004 ◽  
Vol 1 (1) ◽  
Author(s):  
Claudio A Canizares ◽  
Hong Chen ◽  
Federico Milano ◽  
Ajit Singh
Keyword(s):  
Electricity Markets ◽  
Congestion Management ◽  
Test System ◽  
Transmission System ◽  
Price Transmission ◽  
Demand Side ◽  
Transmission Congestion ◽  
Inelastic Demand ◽  
On Line ◽  
Bus Voltage

This paper presents a novel technique to analyze, manage and price transmission congestion in electricity markets based on a simple auction mechanism. The proposed technique is basically an iterative rescheduling algorithm, relying on an ``on-line'' evaluation of the transmission system congestion, as defined by a System Security Index (SSI), and associated sensitivities, which are all computed based on formulas that account for voltage stability constraints as well as thermal and bus voltage limits. The methodology is tested using a 3-area test system, a 6-bus test system with both demand-side bidding and inelastic demand, as well as a 129-bus model of the Italian High Voltage transmission system with demand-side bidding. The results obtained for these test systems with the proposed technique are compared with similar results obtained from an optimization-based method.

Relieving Transmission Congestion by Optimal Rescheduling of Generators Using PSO

2014 ◽  
Vol 626 ◽  
pp. 213-218 ◽  
Author(s):  
K. Muthulakshmi ◽  
C.K. Babulal
Keyword(s):  
Particle Swarm Optimization ◽  
Power Output ◽  
Optimization Methods ◽  
Congestion Management ◽  
Test System ◽  
Transmission Congestion ◽  
Reliable System ◽  
Swarm Optimization ◽  
Real Power ◽  
The Real

Congestion management is one of the most important issues for secure and reliable system operations. One of the most practiced techniques for congestion management is rescheduling the real power output of generators in the system. In this paper Particle Swarm Optimization (PSO) is used to determine the optimal generation levels to alleviate transmission congestion. Numerical results on IEEE 30 Bus test system is presented and the experimental outcomes demonstrate that PSO is one among the demanding optimization methods which are certainly capable of obtaining higher quality solutions for the proposed problem.

scholarly journals Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion Management

2016 ◽  
Vol 6 (5) ◽  
pp. 2041
Author(s):  
Naga Raja Kumari.CH ◽  
K. Chendra Sekhar
Keyword(s):  
Electricity Market ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Optimal Placement ◽  
Management Problem ◽  
Overhead Lines ◽  
Social Welfare Maximization ◽  
Deregulated Electricity Market

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement  the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time.

scholarly journals Linear Sensitivity Analysis and Series Compensation for Transmission Congestion Management

10.29007/1hvd ◽  
2018 ◽  
Author(s):  
Jalpa Jobanputra ◽  
Chetan Kotwal
Keyword(s):  
Transmission Lines ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Shift Factor ◽  
Distribution Factor ◽  
Transmission Congestion ◽  
Series Compensation ◽  
Two Stages

Optimal utilization of transmission system without congestion in the network is most important as congestion can violet the security of the system. Sufficient amount of reactive power support needs to be provided in the system in order to maintain the power flow limits on transmission lines and voltage limits at bus bars. This Paper focuses on analysis of congestion occurrence with N-1 contingencies for line flow limits in case of line and generator outages using linear sensitivity factors and congestion management using series compensation. Generation shift factor and line outage distribution factor are used to find sensitive lines and series compensation in two stages are applied to the most sensitive lines to relieve congestion. Standard IEEE 6 bus test system is used to analyze contingencies and congestion mitigation. All the simulations are performed using power world simulator version 19.0. Mathematical calculations are also performed for the same 6-bus system for validation of results.

scholarly journals Transmission Congestion Management by using LMP Method in De-Regulated Electricity Market

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2017-2020
Keyword(s):  
Electricity Markets ◽  
Transmission Lines ◽  
Electricity Market ◽  
Power Flow ◽  
Congestion Management ◽  
Test System ◽  
Alternative Methods ◽  
Transmission Congestion ◽  
Advantages And Disadvantages ◽  
Primal Dual

The power transmission network has the problem of management due to congestion in the open access system. Power flow due to transactions in transmission lines can cause overloads. This condition is known as congestion. There are several alternative methods for congestion management which are suitable for different electricity markets. In this paper the Locational Marginal Pricing (LMP) method is discussed for an assessment of transmission congestion management and results are obtained to manage the transmission congestion such as redispatching existing generators outside the congested area to supply power to the customer. The primal dual IP algorithm is used to calculate the LMP’s and congestion cost values. The proposed work has been implemented on a 14-bus test system to illustrate the advantages and disadvantages of this method

Optimal Placement of TCSC Based on Sensitivity Analysis for Congestion Management

2016 ◽  
Vol 6 (5) ◽  
pp. 2041
Author(s):  
Naga Raja Kumari.CH ◽  
K. Chendra Sekhar
Keyword(s):  
Electricity Market ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Optimal Placement ◽  
Management Problem ◽  
Overhead Lines ◽  
Social Welfare Maximization ◽  
Deregulated Electricity Market

In a deregulated electricity market whenever congestion management problem occurs, the network collapse because of voltage instability. In this paper total real and reactive power loss deviation based sensitivity indexes (PLDS and QLDS) with rank co-relation concept, has been proposed for the optimal location and operating range of TCSC device. With this placement  the power flow in over loaded overhead lines has been reduced and that results in an increased loadability of the power system and also improves the voltage stability and security and also solves the congestion management problem. So ultimately, a more energy efficient transmission system is possible. The case studies were conducted on IEEE 14 bus test system. The ensue corroborate the intended approach for social welfare maximization inreal time.

scholarly journals Transmission congestion management considering voltage stability margin

2021 ◽  
Vol 3 (2) ◽  
Author(s):  
Nilesh K. Patel ◽  
Bhavik N. Suthar ◽  
Jalpa Thakkar
Keyword(s):  
Power Generation ◽  
Voltage Stability ◽  
Reactive Power ◽  
Stability Margin ◽  
Congestion Management ◽  
Test System ◽  
Optimization Techniques ◽  
Voltage Profile ◽  
Transmission Congestion ◽  
Voltage Stability Margin

AbstractThis paper presents a solution for the transmission congestion management considering voltage stability issues using optimal generation rescheduling. While practicing congestion management using optimization techniques, the control variables remain under their upper or lower limits but it may lead to the lowered level of voltage security after optimization. To counterbalance this adverse effect, a modified objective function has been used. The reactive power generation rescheduling and reactive support from capacitors have been incorporated along with active power generation rescheduling to manage congestion as well as to improve the network voltage stability margin. The Random Inertia Weight Particle Swarm Optimization (RANDIW-PSO) algorithm has been employed in this paper to obtain optimized solutions. The proposed methodology is tested on the New-England test system for different realistic scenarios. The results confirm a noteworthy decline in congestion cost along with the improvement in network voltage stability margin. Moreover, system performance has been improved in terms of system power losses, increased reactive power reserve at generators and voltage profile.

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