Reliability Evaluation in Energy Limited Generating Capacity Studies

Billinton, R.; Harrington, Philip

doi:10.1109/tpas.1978.354711

Cited by 63 publications

(20 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Loss of Load Expectation (LOLE), Expected Energy not Supplied (EENS). The "peak-shaving" technique [4] will be firstly applied to modify the original load duration curve using a conditional probability which can be illustrated by (4).…”

Section: B Generation System Modelmentioning

confidence: 99%

Reserve margin evaluation for generation system using probabilistic based method

Diewvilai

Nidhiritdhikrai

Eua‐arporn

2011

The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thai

View full text Add to dashboard Cite

Reserve margin is one of the generation system reliability indices which should be appropriately defined. Too high reserve margin causes over-investment in generation system whereas too low reserve margin may result in unacceptable generation risk. This paper proposes method to calculate the value of appropriate reserve margin based on probabilistic method using a reliability index, i.e. Loss of Load Expectation (LOLE). Three generic capacities, i.e. 250, 500, and 750 MW, are used and tested with a modified Thailand system to obtain a range of appropriate reserve margin.

show abstract

Section: B Generation System Modelmentioning

confidence: 99%

Reserve margin evaluation for generation system using probabilistic based method

Diewvilai

Nidhiritdhikrai

Eua‐arporn

2011

The 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thai

View full text Add to dashboard Cite

show abstract

“…The discrete COPT and the load represented by the LDC are convolved to calculate various adequacy indices in the discrete convolution method. The load modification method is also a discrete method but the capacity model used in this method is different from the convolution approach (Billinton and Harrington 1978). As system capacity states are discrete in nature, the analytical approaches based on a discrete probability distribution is a better approach and widely used in power system adequacy assessment.…”

Section: Analytical Techniquesmentioning

confidence: 99%

Comparison of alternative probabilistic techniques for adequacy assessment of small isolated wind/diesel systems

Bagen

Gao

2010

Int J Syst Assur Eng Manag

View full text Add to dashboard Cite

This paper compares two alternative probabilistic techniques for the adequacy assessment of small isolated wind/diesel systems. These approaches are the analytical convolution method and the sequential Monte Carlo simulation. The results obtained from these techniques are illustrated by a series of comparative studies. The main purpose of the paper is to investigate the accuracy of the analytical technique assuming that the sequential Monte Carlo simulation method would provide the most precise results. The results show that there is no significant difference between the outcomes of the two techniques. The paper also shows that a multi-state wind energy conversion system model can be used to produce reasonably accurate results in small isolated wind/diesel system adequacy studies.

show abstract

“…The modified load curve for period is defined as follows through the load curve of the period (5) where , being the hydro capacity. Thus, if the random variable takes the value , that is the power supplied by the thermal system is , less than , the area under the modified curve between and corresponds to the energy demanded and not served (6) Due to the random character of supply, (energy not supplied by the thermal system) is a random variable and its expectation is (7) Given the thermal system and the load duration curve of the subperiod the above value only depends on the discount , and we use this amount (4) as the hydro energy used to cover thermal outages (8) The function is a nonincreasing function, is the expected value of the energy not supplied by the thermal system due to failures when the discount of energy demand is zero . If we call , when , the system does not have enough capacity to cover demand even if we use all the hydro energy to cover the failures of the thermal units.…”

Section: B Hydro Distribution Under Economic Optimalitymentioning

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.…”

mentioning

confidence: 99%

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

González

Ruiz

Mira

et al. 2005

IEEE Trans. Power Syst.

View full text Add to dashboard Cite

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.

show abstract

Reliability Evaluation in Energy Limited Generating Capacity Studies

Cited by 63 publications

References 2 publications

Reserve margin evaluation for generation system using probabilistic based method

Reserve margin evaluation for generation system using probabilistic based method

Comparison of alternative probabilistic techniques for adequacy assessment of small isolated wind/diesel systems

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

Contact Info

Product

Resources

About