Assessment Of Deregulation And Competition

Draper, Elizabeth

doi:10.1109/mper.1998.686949

Cited by 9 publications

(3 citation statements)

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“…The basic function of a complex generation and transmission system is to generate the required electricity and deliver it to the major load points. Complex system adequacy assessment is very important since it involves not only system analyses but also many practical deliberations [12]. The system analyses involved in the assessment include load flow studies, critical assessment, generation rescheduling, transmission overload alleviation, load curtailment, etc.…”

Section: Methodsmentioning

confidence: 99%

Power System Reliability Assessment in a Complex Restructured Power System

Lindsay¹,

Parvathy²

2019

IJECE

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The basic purpose of an electric power system is to supply its consumers with electric energy as parsimoniously as possible and with a sensible degree of continuity and quality. It is expected that the solicitation of power system reliability assessment in bulk power systems will continue to increase in the future especially in the newly deregulated power diligence. This paper presents the research conducted on the three areas of incorporating multi-state generating unit models, evaluating system performance indices and identifying transmission paucities in complex system adequacy assessment. The incentives for electricity market participants to endow in new generation and transmission facilities are highly influenced by the market risk in a complex restructured environment. This paper also presents a procedure to identify transmission deficiencies and remedial modification in the composite generation and transmission system and focused on the application of probabilistic techniques in composite system adequacy assessment

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Section: Methodsmentioning

confidence: 99%

Power System Reliability Assessment in a Complex Restructured Power System

Lindsay¹,

Parvathy²

2019

IJECE

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“…To mitigate the complexity of line flows and bus flows in the deregulated power system, stochastic or fuzzy logic controllers are utilized. Short-term and long-term uncertainties resulting from the presence of solar parks and wind energy in the deregulated power system network are addressed through strategic planning in power system planning [4]. When integrating wind energy and solar energy into distribution companies, a well-defined distribution generator allocation scheme is crucial [5].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system

Lindsay,

Emimal

2024

IJAPE

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Fuzzy logic emerges as a powerful tool for optimizing power flow solutions, particularly in the context of deregulated power systems. By employing fuzzy logic controls, the ideal placement of distribution generators (DGs) can be determined, ensuring the reliability indices are identified through optimal power flow solutions and fuzzy logic controllers to maintain system feasibility. In a deregulated power system, strategic placement of distribution generator units plays a crucial role in minimizing power loss and enhancing overall system performance by mitigating fluctuations. To identify areas of weakness, especially within transmission companies, accessing optimal power flow algorithms becomes essential in a deregulated power system. Both transmission and distribution networks should be appropriately adjusted to alleviate congestion within the respective companies. The aggregator must assess system performance, utilizing data obtained from distribution and transmission companies within the deregulated power system.

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“…The main function in traditional structure for Unit Commitment (UC) of the generators is to minimize generation costs. Since the beginning of the 21 st century, many countries have been trying to deregulate their power systems and create power markets (Salvaderi, 2000), (Mountford & Austria, 1999), (Draper, 1998), (Puttgen et al, 2001), (Mc Clanahan,2002). In the power markets, the main function of players is their own profit maximization, which severely depends on the type of the market.…”

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confidence: 99%

Generation Reliability Evaluation in Deregulated Power Systems Using Monte Carlo Simulation and Fuzzy Systems

Haroonabadi¹

2012

Fuzzy Logic - Emerging Technologies and Applications

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Assessment Of Deregulation And Competition

Cited by 9 publications

References 0 publications

Power System Reliability Assessment in a Complex Restructured Power System

Power System Reliability Assessment in a Complex Restructured Power System

Fuzzy logic-based approach for optimal allocation of distributed generation in a restructured power system

Generation Reliability Evaluation in Deregulated Power Systems Using Monte Carlo Simulation and Fuzzy Systems

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