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.

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.

Congestion management using grey wolf optimization in a deregulated power market

2021 ◽  
Keyword(s):  
Optimization Technique ◽  
Differential Evolution Algorithm ◽  
Congestion Management ◽  
Grey Wolf ◽  
Transmission Congestion ◽  
Power Sector ◽  
Grey Wolf Optimization ◽  
Congestion Cost ◽  
Real Coded Genetic Algorithm ◽  
Line Overload

Abstract Transmission congestion issues became more severe and difficult to control as the power sector became more deregulated. The grey wolf optimization algorithm is proposed to relieve congestion by rescheduling generation effectively, resulting in the least congestion cost. The selection of participating generators is based on sensitivity, and the proposed technique is used to determine the best-rescheduled output active power generation to minimize line overload. The IEEE-30 bus system is used to test the proposed optimization technique. It has been demonstrated that when compared to other algorithms like the real coded genetic algorithm, particle swarm optimization, and differential evolution algorithm, the proposed approach produces excellent results in terms of congestion cost.

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 Framework for Offering Short-Term Demand-Side Flexibility to a Flexibility Marketplace

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3612
Author(s):  
Stig Ødegaard Ottesen ◽  
Martin Haug ◽  
Heidi S. Nygård
Keyword(s):  
Distribution System ◽  
Renewable Energy Sources ◽  
Demand Side ◽  
Transmission Congestion ◽  
Power Sector ◽  
Short Term ◽  
Local Flexibility ◽  
System Operator ◽  
Variable Renewable Energy Sources ◽  
Baseline Estimation

The decarbonization of the power sector involves electrification and a massive deployment of variable renewable energy sources, leading to an increase of local transmission congestion and ramping challenges. A possible solution to secure grid stability is local flexibility markets, in which prosumers can offer demand-side flexibility to the distribution system operator or other flexibility buyers through an aggregator. The purpose of this study was to develop a framework for estimating and offering short-term demand-side flexibility to a flexibility marketplace, with the main focus being baseline estimation and bid generation. The baseline is estimated based on forecasts that have been corrected for effects from earlier flexibility activations and potential planned use of internal flexibility. Available flexibility volumes are then estimated based on the baseline, physical properties of the flexibility asset and agreed constraints for baseline deviation. The estimated available flexibility is further formatted into a bid that may be offered to a flexibility marketplace, where buyers can buy and activate the offered flexibility, in whole or by parts. To illustrate and verify the proposed methodology, it was applied to a grocery warehouse. Based on real flexibility constraints, historic meter values, and forecasts for this use-case, we simulated a process where the flexibility is offered to a hypothetic flexibility marketplace through an aggregator.

Sign in / Sign up

Export Citation Format

Share Document