Utilizing reliability indices to study generation adequacy

Al-Alawi, Ameer; Nagle, M.; Zhu, Jinxiang

doi:10.1109/tdc.2010.5484384

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Nowadays, there are a number of basic indices which evaluate Currently the most commonly used index is the LOLE [12]. LOLE is the expected number of days or hours in a specified period in which the load exceeds the available generating capacity.…”

Section: Probabilistic Approach For Operating Reservementioning

confidence: 99%

An Overview of Frequency Control as a Criterion of Power System Reliability and International Survey of Determining Operating Reserve

Sharif¹,

Chowdhury²,

Ferdous³

et al. 2017

AJME

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In this paper an extensive literature review of power system frequency control regulation and in relation to this, operating reserve determination policy have been highlighted. In terms of power system reliability and stability aspect, frequency control mechanism is the most important factor; hence there is a need for sufficient capacity reserve in case of contingency. An investigation of operating reserve policy in different regions, e.g., US, Canada, Europe and Asia have been conducted to clearer understand of reserve policy. It has been identified that, probabilistic approach is the best suited for determining generation adequacy in terms of economic and reliability point of view. Different type of reserve is allocated at different level of frequency control level. So, technical specification and timing for frequency control level of different system operator have been discussed widely. A comparison of frequency control framework between European and US is also presented. To ensure reliability and stability, it is recommended to adopt special protection scheme alongside new technologies-WAMS, SmartGrid.

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Section: Probabilistic Approach For Operating Reservementioning

confidence: 99%

An Overview of Frequency Control as a Criterion of Power System Reliability and International Survey of Determining Operating Reserve

Sharif¹,

Chowdhury²,

Ferdous³

et al. 2017

AJME

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“…Moreover, the effect of islanding appears in the improvement of the loss of load expectation (LOLE) and loss of energy expectation (LOEE) [6]. In paper [7], Southwest Power Pool's (SPP) experience in analyzing generation adequacy is presented and this analysis is conducted by examining a common reliability index, Loss of Load Expectation (LOLE). According to North American Electric Reliability Corporation (NERC), smart grid reliability is defined by resource adequacy and operational security and such level of reliability is often measured by the Loss of Load Expectation (LOLE) with the typical criterion of 1 day in 10 years [8].…”

Section: Introductionmentioning

confidence: 99%

An Effective Simulation Technique to Evaluate Loss of Load Expectation

Masood¹

2013

JEEE

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Risk index of loss-of-load expectation is traditionally used to determine generation adequacy. However, because responsibility of generation installation and demand increases with different entities, both generation and load need to be examined to evaluate the resource adequacy of today's deregulated power systems. An electric utility's main concern is to plan, design, operate and maintain its power supply to provide an acceptable level of reliability to its users. This clearly requires that standards of reliability be specified and used in all three sectors of the power system, i.e., generation, transmission and distribution. Reliability indices have been defined for the three sectors separately as well as for the bulk power system. Reliability criteria may be determined at the selected load points in the system for different combination of generators and transmission line failures. This paper presents an effective simulation method for the reliability assessment of reliability index, loss-of-load expectation (LOLE). This method is applied to Bangladesh Power System (BPS). BPS has a total installed capacity of around 6550 MW. The maximum demand of BPS is about 5700 MW. The relevant data of the generators and hourly load profiles are collected from the National Load Dispatch Center (NLDC) of Bangladesh and reliability index 'LOLE' is assessed for the last six years.

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