Reliability analysis for hydrothermal generating systems including the effect of maintenance scheduling

Ruiz, Jesús Juan; Ortega, I.

doi:10.1109/59.627859

Cited by 21 publications

(18 citation statements)

References 18 publications

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“…The distribution of hydro energy according to the model just described is established as a function of the variable , it is thus interesting to study how the reliability indicators of the system change with [3]- [7]. Moreover, one can also study how the new decision rules are influential on reliability.…”

Section: B Hydro Distribution Under Economic Optimalitymentioning

confidence: 99%

“…The purpose of this work is to find an optimal strategy for this allocation, from a economic point of view, which can be a starting point for other analysis that depend on this distribution. Of particular interest, this distribution could be used to assess the impact of the market on the reliability of the system [3], [4].…”

mentioning

confidence: 99%

“…1) All the hydro plants are modeled as one single unit which is featured by an equivalent capacity and a certain amount of available energy [3], [5], [6] 2) For different hydro energies in a subperiod the capacity is constant. This approach provides significant computational efficiency gains while still allowing the consideration of the energy limitations inherent to the hydro units.…”

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confidence: 99%

See 2 more Smart Citations

Reliability Analysis for Systems With Large Hydro Resources in a Deregulated Electric Power Market

González

Ruiz

Mira

et al. 2005

IEEE Trans. Power Syst.

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Abstract-This work describes a procedure that determines the optimal allocation for the yearly energy resulting from random water inflows to the different subperiods of a year so that the expected benefits are maximized. Its main idea is to distribute the energy stored in reservoirs in each period into two parts: one is directly sold in the energy market, while the other is made available to cover any unplanned outages of thermal units. The method proposed fulfills two objectives, to distribute the hydro energy optimally according to economic criteria and to assess the impact of new market rules on the reliability of an electric system. The procedure will be illustrated by an example based on the Spanish generating system. Index Terms-EENS, LOLE, loss of energy, loss of load, reserves allocation, planning.

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Section: B Hydro Distribution Under Economic Optimalitymentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Reliability Analysis for Systems With Large Hydro Resources in a Deregulated Electric Power Market

González

Ruiz

Mira

et al. 2005

IEEE Trans. Power Syst.

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“…To overcome the limitations of the mathematical optimization [1][2][3][4][5][6], heuristic methods [7][8][9][10][11][12][13][14] have been proposed to solve the GMS problem. Generators priority based heuristic approaches [7][8] were introduced to deal with linear and nonlinear constraints of the problem.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Generator Maintenance Scheduling in Deregulated Power Systems

Chen

Huang

2008

2008 3rd International Conference on Innovative Computing Information and Control

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This paper presents a parallel-refined simulated annealing (PRSA) approach for the generator maintenance scheduling (GMS) problem to maximize profit objective function. The merit of simulated annealing (SA) is preserved and the deficiency is pruned away in the proposed PRSA. The proposed PRSA is an effective method because the multiple search trajectories parallel and refined in each stage. The near optimal solution for each trajectory in current state can be derived from the local optimal solutions by using the parallel optimization process. The proposed parallel searching strategy can obtain optimal or near-optimal solution for the GMS problem. This paper has demonstrated the effectiveness and feasibility of applying the proposed approach for the 50-unit GMS problem.

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“…The year is divided into (131, 141). Regarding the hydro system, we assume that: (1) all the hydro plants are modelled as one single unit which is featured by an equivalent capacity and a certain amount of available energy [ 5 ] , [6], [3], and ( 2 ) for different hydro energies in a subperiod the capacity is a constant. This approach provides significant computational efficiency gains while still allowing the consideration of the energy limitations inherent to the hydro units.…”

Section: Introductionmentioning

confidence: 99%

Long-term generation scheduling in systems with large hydro resources in a deregulated electric power market

González

Ruiz

Mira

et al.

2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)

Self Cite

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This work describes a procedure that determines the optimal allocation for the yearly energy resulting from random water inflows to the different subperiods of a year so that the expected benefits are maximized. Its main idea is to distribute the energy stored in reservoirs in each period into two parts: one is directly sold in the energy market, while the other is made available to cover any unplanned outages of thermal units. The method proposed fulfills two objectives, to distribute the hydro energy optimally according to economic criteria and at the same time to maximize the reliability of the system. The procedure will be illustrated by an example based on the Spanish generating system.

show abstract

Reliability analysis for hydrothermal generating systems including the effect of maintenance scheduling

Cited by 21 publications

References 18 publications

Reliability Analysis for Systems With Large Hydro Resources in a Deregulated Electric Power Market

Reliability Analysis for Systems With Large Hydro Resources in a Deregulated Electric Power Market

A New Approach for Generator Maintenance Scheduling in Deregulated Power Systems

Long-term generation scheduling in systems with large hydro resources in a deregulated electric power market

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