scholarly journals Transmission Congestion Management in Restructured Power Systems

2015 ◽  
Vol 04 (07) ◽  
pp. 5977-5985
Author(s):  
Kunal M. Lokhande, Vin od G. Bhongade
Keyword(s):  
Power Systems ◽  
Congestion Management ◽  
Transmission Congestion

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.

scholarly journals Power Transmission Congestion Management Based on Quasi-Dynamic Thermal Rating

Processes ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 244 ◽  
Author(s):  
Yanling Wang ◽  
Zidan Sun ◽  
Zhijie Yan ◽  
Likai Liang ◽  
Fan Song ◽  
...  
Keyword(s):  
Power Systems ◽  
Transmission Lines ◽  
Power Transmission ◽  
Meteorological Data ◽  
Congestion Management ◽  
Alarm System ◽  
Transmission Congestion ◽  
Ieee Standard ◽  
Operation Risk ◽  
Operation Flexibility

Transmission congestion not only increases the operation risk, but also reduces the operation efficiency of power systems. Applying a quasi-dynamic thermal rating (QDR) to the transmission congestion alarm system can effectively alleviate transmission congestion. In this paper, according to the heat balance equation under the IEEE standard, a calculation method of QDR is proposed based on the threshold of meteorological parameters under 95% confidence level, which is determined by statistical analysis of seven-year meteorological data in Weihai, China. The QDR of transmission lines is calculated at different time scales. A transmission congestion management model based on QDR is established, and the transmission congestion alarm system including conductor temperature judgment is proposed. The case shows that transmission congestion management based on QDR is feasible, which improves the service life and operation flexibility of the power grid in emergencies and avoids power supply shortages caused by unnecessary trip protection.

scholarly journals A survey on recent advances in transmission congestion management

2021 ◽  
Vol 13 (1) ◽  
pp. 29-41
Author(s):  
Madhu Mohan Gajjala ◽  
Aijaz Ahmad
Keyword(s):  
Power Systems ◽  
Market Failure ◽  
Congestion Management ◽  
Power Markets ◽  
Transmission Congestion ◽  
Power Sector ◽  
System Operator ◽  
Transmission Capability ◽  
Price Differences ◽  
Power Systems Reliability

Abstract For the last few decades, the power sector has been restructuring throughout the world, and because of this, congestion is bound to take place in the network. Congestion can lead to market failure, violate transmission capability limits and high electricity prices, and end up threatening the power systems’ reliability and security. Increased congestion may also lead to unexpected price differences in power markets leading to market power. In a deregulated power market (DPM), the independent system operator (ISO)’s fundamental challenge is to preserve the power market’s reliability and safety by improving market efficiency when the network is congested. Therefore, congestion management (CM) is essential in DPM and is the key to the power system. This paper carries out a congestion management methods survey to bring together all recent publications in the DPM. It aims to help readers summarize progressive CM methods, along with traditional CM methods that have been discussed so far. In this paper, we have carried out a comparative survey of the various well-known CM methods.

Congestion Management in Restructured Power Systems with Economic and Technical Considerations

2019 ◽  
Vol 1 (1) ◽  
pp. 41-46
Author(s):  
Manikandan R ◽  
Kavya P ◽  
Shalini R
Keyword(s):  
Power Systems ◽  
Developed Countries ◽  
Congestion Management ◽  
Power Demand ◽  
Independent System ◽  
Deregulated Power System ◽  
Independent System Operator ◽  
System Operator ◽  
Management Techniques ◽  
Technical Considerations

In this paper, restructuring of monopolistic power systems is inevitable in this day and age to cope up with the radical growth of power demand. In developed countries restructuring is already in place while developing countries are getting accustomed to it. Above and beyond the benefits to customers in terms of economy and quality, there are several challenges prevailing particularly in transmission while exercising deregulation. The foremost challenging task of Independent System Operator (ISO) is managing the transmission line congestion in a deregulated power system. In most of the congestion management techniques, only the economic aspects are considered. The minimum voltage derivation for electronic industries and acceptable voltage derivation for high power applications are considered with suitable weighting factors in the objective function.

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