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

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.

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 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.

scholarly journals Multiobjective Optimization Methods for Congestion Management in Deregulated Power Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
K. Vijayakumar
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Electricity Market ◽  
Optimization Methods ◽  
Evolutionary Programming ◽  
Congestion Management ◽  
Transmission Congestion ◽  
Nsga Ii ◽  
Line Overload ◽  
Nondominated Sorting

Congestion management is one of the important functions performed by system operator in deregulated electricity market to ensure secure operation of transmission system. This paper proposes two effective methods for transmission congestion alleviation in deregulated power system. Congestion or overload in transmission networks is alleviated by rescheduling of generators and/or load shedding. The two objectives conflicting in nature (1) transmission line over load and (2) congestion cost are optimized in this paper. The multiobjective fuzzy evolutionary programming (FEP) and nondominated sorting genetic algorithm II methods are used to solve this problem. FEP uses the combined advantages of fuzzy and evolutionary programming (EP) techniques and gives better unique solution satisfying both objectives, whereas nondominated sorting genetic algorithm (NSGA) II gives a set of Pareto-optimal solutions. The methods propose an efficient and reliable algorithm for line overload alleviation due to critical line outages in a deregulated power markets. The quality and usefulness of the algorithm is tested on IEEE 30 bus system.

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