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.

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

Sensitivity Based Approach for Transmission Congestion Management Utilizing Bids for Generation Rescheduling and Load Curtailment

2006 ◽  
Vol 7 (4) ◽  
Author(s):  
Himanshu Kumar Singh ◽  
S.C. Srivastava ◽  
Ashwani Kumar Sharma
Keyword(s):  
Electricity Markets ◽  
Power Flow ◽  
Reactive Power ◽  
Congestion Management ◽  
Test System ◽  
Hyperbolic Function ◽  
Flow Sensitivity ◽  
Fair Competition ◽  
Load Curtailment ◽  
The Impact

One of the most important tasks of System Operator (SO) is to manage congestion as it threatens system security and may cause rise in electricity price resulting in market inefficiency. In corrective action congestion management schemes, it is crucial for SO to select the most sensitive generators to re-schedule their real and reactive powers and the loads to curtail in extreme congestion management. This paper proposed the selection of most sensitive generators and loads to re-schedule their generation and load curtailment based on the improved line flow sensitivity indices to manage congestion. The impact of slack bus on power flow sensitivity factors has been determined to encourage fair competition in the electricity markets. Effect of bilateral and multilateral transactions, and impact of multi-line congestion on congestion cost has also been studied. The generators’ reactive power bid has been modeled by a continuous differentiable tangent hyperbolic function. The proposed concept of congestion management has been tested on a practical 75-bus Indian system and IEEE-118-bus test system.

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.

Transmission Congestion Management and Pricing in Simple Auction Electricity Markets

ENERGYO ◽  
2018 ◽  
Author(s):  
Claudio A. Canizares ◽  
Hong Chen ◽  
Federico Milano ◽  
Ajit Singh
Keyword(s):  
Electricity Markets ◽  
Congestion Management ◽  
Transmission Congestion

New Impact Factors-Based Transmission Congestion Management

2013 ◽  
Vol 437 ◽  
pp. 909-913
Author(s):  
Deng Xiang Qiao ◽  
Lun Nong Tan
Keyword(s):  
Mathematical Models ◽  
Electricity Markets ◽  
Congestion Management ◽  
Management Model ◽  
Impact Factors ◽  
Load Management ◽  
Practical Case ◽  
Transmission Congestion ◽  
Expected Effect ◽  
Interruptible Load

Abstract. By utilizing interruptible load management can be quickly and flexibly to eliminate the root causes of congestion on the line, based on lowbidding interruptible load have priority in electricity markets. This paper selects the interrupt interruptible load at the same time taking into account the sensitivity and interruptible load costs factor. By building mathematical models of congestion sensitivity, and combined with interruptible load costs form the new impact factors, as the basis of choice of interruptible load adjustments needed. A congestion management model was proposed with the goal of minimizing the congestion elimination cost, and has attempted to find the solution to it. Finally, a practical case is designed to validate the economic and validity of the method. And have achieved the expected effect.

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 Mitigating Congestion in a Power System and Role of FACTS Devices

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Madhvi Gupta ◽  
Vivek Kumar ◽  
Gopal Krishna Banerjee ◽  
N. K. Sharma
Keyword(s):  
Power System ◽  
Transmission Lines ◽  
Thermal Loading ◽  
Power Transmission ◽  
Maximum Load ◽  
Congestion Management ◽  
Transmission System ◽  
Transmission Congestion ◽  
Facts Devices ◽  
Transfer Capability

Congestion management refers to avoiding or relieving congestion. In transmission lines, congestion management is one of the most important issues for the reliable operation of power system in the deregulated environment. Restructuring has brought considerable changes in all possible domains including electric supply industry. By virtue of restructuring, electricity has now become a commodity and has converted into a deregulated one. The traditional regulated power system has now become a competitive power market. In the present scenario, the real time transmission congestion is the operating condition in which the transfer capability to implement all the traded transactions simultaneously is not enough due to either some expected contingencies or market settlement. Thus, congestion is associated with one or more violations of the physical, operational, and policy constraints under which grids operate. Thus, congestion management is about managing the power transmission and distribution among valuable consumers priority-wise. Placement of FACTS (Flexible Alternating Current Transmission System) devices for generation rescheduling and load-shedding play a crucial role in congestion management. FACTS devices are used to enhance the maximum load ability of the transmission system. FACTS increases the flexibility of power system, makes it more controllable, and allows utilization of existing network closer to its thermal loading capacity without jeopardizing the stability. FACTS technology can boost the transfer capability in stability limited systems by 20–30%. As a result, more power can reach consumers with a shorter project implementation time and a lower investment cost. This review work unites the various publications on congestion management in past few decades.

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