Generation Maintenance Scheduling in Restructured Power Systems

Conejo, Antonio J.; García-Bertrand, Raquel; Diaz-Salazar, M.

doi:10.1109/tpwrs.2005.846078

Cited by 140 publications

(156 citation statements)

References 18 publications

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“…In the centralized electricity framework, the system operator determines the maintenance plan that fulfills the requirement for the desired reliability level throughout the planning horizon while minimizing the operation cost of the system and imposes it to all producers [2].…”

Section: Problem Formulation and Methodologymentioning

confidence: 99%

“…These common goals mainly contain system issues, aiming at ensuring reliability and security levels and minimizing operation costs. Consequently, the agent that handles the supervisory role in smart grids is concerned about maintenance outage schedules, because they naturally deteriorate the grid reliability and increase the operation cost [2]. Electricity markets usually include a market operator that manages the financial transactions and the implementation of market rules and an independent system operator (ISO), which manages the network and all the involved constraints, in addition to sellers and buyers that negotiate in the market [3].…”

Section: Introductionmentioning

confidence: 99%

“…A coordinating mechanism based on incentives/disincentives among power producers and the ISO to achieve the final maintenance plan for a year ahead is introduced in [2]. This method expedites achieving a generation maintenance plan which satisfies the producer maximum profit objective while achieving a fair degree of reliability in each week of the year.…”

Section: Introductionmentioning

confidence: 99%

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Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

2012

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a b s t r a c tDistribution systems are the first volunteers experiencing the benefits of smart grids. The smart grid concept impacts the internal legislation and standards in grid-connected and isolated distribution systems. Demand side management, the main feature of smart grids, acquires clear meaning in low voltage distribution systems. In these networks, various coordination procedures are required between domestic, commercial and industrial consumers, producers and the system operator. Obviously, the technical basis for bidirectional communication is the prerequisite of developing such a coordination procedure. The main coordination is required when the operator tries to dispatch the producers according to their own preferences without neglecting its inherent responsibility. Maintenance decisions are first determined by generating companies, and then the operator has to check and probably modify them for final approval. In this paper the generation scheduling from the viewpoint of a distribution system operator (DSO) is formulated. The traditional task of the DSO is securing network reliability and quality. The effectiveness of the proposed method is assessed by applying it to a 6-bus and 9-bus distribution system.

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Section: Problem Formulation and Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

2012

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“…A comprehensive review over the maintenance scheduling problems in the generation and transmission sector of restructured power systems with their solutions is presented in [3]. An iterative approach for LT maintenance scheduling is presented in [5] that guarantees a satisfactory level of system reliability in a manner acceptable to all participating GENCOs and the ISO. In [6] maintenance scheduling is solved by the system operator based on the plans that the producers have submitted with the respective penalties they accept to pay if their desired plan is selected.…”

Section: Literature Review and Contributionmentioning

confidence: 99%

“…The price elasticity of demand (PED) is defined as the ratio of the percentage change in quantity to the percentage change in price (5). PED shows the demand response of a good or service to changes in its price [12] PED ¼ DQ =Q DP=P :…”

Section: Oligopoly Competition Modelmentioning

confidence: 99%

Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market

et al. 2013

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a b s t r a c tIn the proposed model, the independent system operator (ISO) provides the opportunity for maintenance outage rescheduling of generating units before each short-term (ST) time interval. Long-term (LT) scheduling for 1 or 2 years in advance is essential for the ISO and the generation companies (GENCOs) to decide their LT strategies; however, it is not possible to be exactly followed and requires slight adjustments. The Cournot-Nash equilibrium is used to characterize the decision-making procedure of an individual GENCO for ST intervals considering the effective coordination with LT plans. Random inputs, such as parameters of the demand function of loads, hourly demand during the following ST time interval and the expected generation pattern of the rivals, are included as scenarios in the stochastic mixed integer program defined to model the payoff-maximizing objective of a GENCO. Scenario reduction algorithms are used to deal with the computational burden. Two reliability test systems were chosen to illustrate the effectiveness of the proposed model for the ST decision-making process for future planned outages from the point of view of a GENCO.

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2022

Resilient Power Electronic Systems

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Generation Maintenance Scheduling in Restructured Power Systems

Cited by 140 publications

References 18 publications

Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

Coordination between mid-term maintenance outage decisions and short-term security-constrained scheduling in smart distribution systems

Stochastic short-term maintenance scheduling of GENCOs in an oligopolistic electricity market

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