Congestion management in a deregulated power system using NSGAII

Bhattacharjee, Tulika; Chakraborty, Ajoy Kumar

doi:10.1109/poweri.2012.6479529

Cited by 5 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, power congestion problems are closely related or studied for the power transmission network management [25]- [27] in terms of capacity of grid. Congestion management ensures that the transmission flows remain within the transmission capacity.…”

Section: Managing Methods Of Distributed Power Sources and Implemmentioning

confidence: 99%

Cooperative distributed control implementation of the power flow coloring over a nano-grid with fluctuating power loads

Javaid

Kurose

Kato

et al. 2017

2017 IEEE Manchester PowerTech

View full text Add to dashboard Cite

To realize efficient and versatile energy management systems for future homes, buildings, and local communities, Nano-grid (NG) finds possibility for integrating distributed energy resources. This paper implements the power flow coloring, which gives a unique ID to each power flow between a specific power source and a specific power load. It enables us to design versatile power flow patterns between distributed power sources and loads taking into account energy availability, cost, and carbon dioxide emission. To implement the power flow coloring, this paper proposes a cooperative distributed control method, where a master-slave role assignment scheme of power sources and a time-slot based feedback control are introduced to cope with power fluctuations while keeping the voltage stability of the NG. Experimental results show the practical feasibility of our proposed method in managing distributed power sources and fluctuating loads.

show abstract

Section: Managing Methods Of Distributed Power Sources and Implemmentioning

confidence: 99%

Cooperative distributed control implementation of the power flow coloring over a nano-grid with fluctuating power loads

Javaid

Kurose

Kato

et al. 2017

2017 IEEE Manchester PowerTech

View full text Add to dashboard Cite

show abstract

“…The literature [40][41][42][43] used CI techniques in pool and hybrid models of DPM for finding the best position and control of FACTS devices to mitigate congestion. Table 2 provides different optimization techniques used for congestion management in DPM.…”

Section: Optimization and Bio-inspired Computational Intelligence (Ci) Techniquesmentioning

confidence: 99%

A survey on recent advances in transmission congestion management

Gajjala

Ahmad

2021

IRASE

View full text Add to dashboard Cite

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.

show abstract

“…The best tradeoff is achieved among the LM and cost based on Non-dominated Sorting Genetic Algorithm II (NSGAII). It provides minimum cost for the management of congestion and stability maintaining in the line transmission as improve congestion [12].…”

Section: Related Workmentioning

confidence: 99%

“…Apply the proposed algorithm to generate power with the LMP concept using the function (12) and find the optimal location of the system to place LMP.…”

Section: Proposed Workmentioning

confidence: 99%

LMP Congestion Management Using Enhanced STF-LODF in Deregulated Power System

Kumar¹,

Mohan²

2016

View full text Add to dashboard Cite

Nowadays electricity market industry is become a major impact on power system for privatization and deregulation of power in global wise. As per the limitation of the transmission system, the complexity arises and the supply fact will be with demand at the time of balancing. The congestion of the power system is occurring based on the transmission limits of the power desire and amount for operating the system. In order to avoid transmission line congestion, enhanced STF-LODF method is proposed. It shows the regulated line transmission flow with generating units by implementing renewable energy resources (RER) based on enhanced STF-LODF in power systems. It avoids the congestion of transmission line frequently in the power system and manages price based on pricing and sensitivity approach, and also manages optimal location of congestion transmission and instability issues of voltage. The congestion management of Locational Marginal Pricing (LMP) is performed with minimum line loss, less cost, line flow, better sensitivity and better performances in optimal power flow and control flow. The efficiency of the proposed power system is analyzed and verified by the simulation results of tested IEEE 14 bus system.

show abstract

Congestion management in a deregulated power system using NSGAII

Cited by 5 publications

References 17 publications

Cooperative distributed control implementation of the power flow coloring over a nano-grid with fluctuating power loads

Cooperative distributed control implementation of the power flow coloring over a nano-grid with fluctuating power loads

A survey on recent advances in transmission congestion management

LMP Congestion Management Using Enhanced STF-LODF in Deregulated Power System

Contact Info

Product

Resources

About