scholarly journals Loss Of Load Expectation Of Alkhoms Generating Units

2018 ◽  
Author(s):  
Mohamed Altaher Ben Mouhsen ◽  
Ali A Tamtum
Keyword(s):  
Loss Of Load Expectation

scholarly journals A Heuristic Ranking Approach on Capacity Benefit Margin Determination Using Pareto-Based Evolutionary Programming Technique

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Muhammad Murtadha Othman ◽  
Nurulazmi Abd Rahman ◽  
Ismail Musirin ◽  
Mahmud Fotuhi-Firuzabad ◽  
Abbas Rajabi-Ghahnavieh
Keyword(s):  
Evolutionary Programming ◽  
Available Transfer Capability ◽  
Interconnected System ◽  
Programming Technique ◽  
Numerical Studies ◽  
Transfer Capability ◽  
System Operator ◽  
Multiobjective Approach ◽  
Account System ◽  
Loss Of Load Expectation

This paper introduces a novel multiobjective approach for capacity benefit margin (CBM) assessment taking into account tie-line reliability of interconnected systems. CBM is the imperative information utilized as a reference by the load-serving entities (LSE) to estimate a certain margin of transfer capability so that a reliable access to generation through interconnected system could be attained. A new Pareto-based evolutionary programming (EP) technique is used to perform a simultaneous determination of CBM for all areas of the interconnected system. The selection of CBM at the Pareto optimal front is proposed to be performed by referring to a heuristic ranking index that takes into account system loss of load expectation (LOLE) in various conditions. Eventually, the power transfer based available transfer capability (ATC) is determined by considering the firm and nonfirm transfers of CBM. A comprehensive set of numerical studies are conducted on the modified IEEE-RTS79 and the performance of the proposed method is numerically investigated in detail. The main advantage of the proposed technique is in terms of flexibility offered to an independent system operator in selecting an appropriate solution of CBM simultaneously for all areas.

scholarly journals Importance of Reliability Criterion in Power System Expansion Planning

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1714 ◽  
Author(s):  
Goran Slipac ◽  
Mladen Zeljko ◽  
Damir Šljivac
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Market Research ◽  
Security Of Supply ◽  
Expansion Planning ◽  
Self Sufficiency ◽  
The Common ◽  
Development Levels ◽  
Loss Of Load Expectation

The self-sufficiency of a power system is no longer a relevant issue at the electricity market, since day-to-day optimization and security of supply are realized at the regional or the internal electricity market. Research connected to security of supply, i.e., having reliable power capacities to meet demand, has been conducted by transmission system operators. Some of the common parameters of security of supply are loss of load probability (LOLP) and/or loss of load expectation (LOLE), which are calculated by a special algorithm. These parameters are specific for each power system. This work presents the way of calculating LOLP as well as the optimization algorithm of LOLP, which takes into consideration the particularities of the power system. It also presents a difference in the treatment of LOLP regarding the observed power system and the necessary installed power capacity if applied to the calculated LOLP in relation to the optimized LOLP. As a conclusion, the study analyzed the parameters impact the regional electricity market—where the participants are countries with different development levels and various particularities of power systems—i.e., what it means when the same LOLP criterion is applied to them and the optimized LOLP.

Ranking Index in the Pareto Optimal Front Based Evolutionary Programming Technique for Best Selection of Several Optimal Multi-Objective Capacity Benefit Margins

2015 ◽  
Vol 785 ◽  
pp. 506-510
Author(s):  
Muhammad Murtadha Othman ◽  
Nurulazmi Abd Rahman ◽  
Ismail Musirin
Keyword(s):  
Electricity Market ◽  
Evolutionary Programming ◽  
Test System ◽  
Pareto Optimal ◽  
Programming Technique ◽  
Pareto Optimal Front ◽  
Multi Objective ◽  
Transfer Capability ◽  
Loss Of Load Expectation ◽  
Ranking Index

The amount of power transfer between areas is purporting as imperative information required by the utility so that this will assist them towards an effective operation of electricity market performed in a deregulated power system. CBM is defined as the amount of the transfer capability reserved by the load-serving entities which will be used during the case of generation deficiency. This paper presents a new approach used to perform simultaneous determination of capacity benefit margin (CBM) for all areas by using the evolutionary programming (EP) technique. Ranking index in the Pareto optimal front cluster of total loss-of-load expectation (LOLE) and total LOLE difference will be used for selecting several best solutions of multi-objective CBMs. Eventually, performance of the proposed method is investigated thoroughly via a test system of modified IEEE-RTS79. Utilization of the proposed technique is superior in terms of offering flexibility to the utility in selecting several best solutions of multi-objective CBMs.

Reliability Assessment of Power Generation and Transmission System Considering Wind Farm Based on Monte-Carlo Methods

2013 ◽  
Vol 724-725 ◽  
pp. 587-592
Author(s):  
Jian Hua Zhang ◽  
Xin Wei Wang ◽  
Cheng Jiang
Keyword(s):  
Prediction Error ◽  
Reliability Index ◽  
Wind Farm ◽  
Reliability Assessment ◽  
Practical Significance ◽  
Reliability Model ◽  
Load Model ◽  
Wind Generator ◽  
Proposed Model ◽  
Loss Of Load Expectation

According to the weibull distribution of the wind speed, this research establishes the probability outrage model of the wind generator. Besides, this paper establishes a three-state Markov reliability model of the wind generator taking the drop running state into account. And the load model is built considering the randomness of the prediction error. This paper takes the improved IEEE RTS79 system for example, the reliability index of loss of load probability and loss of load expectation are calculated. Because the wind turbine derating state and load error are taken consideration, the proposed model is more accurate and the assessment results have high practical significance.

scholarly journals Power System Market Planning

2019 ◽  
Vol 4 (11) ◽  
pp. 17-21
Author(s):  
Isa Salman Qamber ◽  
Mohamed Y Al-Hamad
Keyword(s):  
Electric System ◽  
Load Models ◽  
Market Planning ◽  
Security Standard ◽  
Generation Capacity ◽  
Supply Risks ◽  
Optimal Reserve ◽  
And Control ◽  
Power System Market ◽  
Loss Of Load Expectation

The loss of load expectation (LOLE) considered an acceptable security standard across most of the national electricity systems. In the present study, the LOLE is calculated. This means that the LOLE needs developing a model. The developed model serving to assesses the security of supply risks associated with the different electricity capacity margin levels, where the capacity margin is the level by which available electricity generation capacity exceeds the maximum expected level of demand. Then, the developed model updated on an annual basis. The annual update is helping to fulfill the Electricity Authority for planning, operation and control. The developed model will assess the system by calculating the capacity margin probability by combining both the generation and load models. The calculation of LOLE is an internationally accepted criterion in capacity adequacy.  The results for the model of each region vary due to several factors, such as generation resource, load forecast, and forced outage rates (FOR). The estimation of the risk is economically optimal reserve margin to a number of case studies assumptions considered in the present study. The results help in future planning for the electric system operation and control. Furthermore, the study is helping to evaluate the implications of the obtained results for the electricity policy market to determine the best model for market design in the future.

scholarly journals Clarifying the Interpretation and Use of the LOLE Resource Adequacy Metric

2021 ◽  
Author(s):  
Gord Stephen ◽  
Simon H. Tindemans ◽  
John Fazio ◽  
Chris Dent ◽  
Armando Figueroa Acevedo ◽  
...  
Keyword(s):  
Power System ◽  
Reliable System ◽  
Shortfall Risk ◽  
System Resource ◽  
Adequacy Assessment ◽  
Risk Metric ◽  
Loss Of Load Expectation

The loss-of-load expectation (LOLE) risk metric has been used in probabilistic power system resource adequacy assessment for over 70 years, and today is one of the most recognizable and widely-used measures of system shortfall risk. However, this wide adoption has been accompanied by ambiguities and inconsistencies in its definition and application. This paper provides a unifying reference for defining the metric as it relates to modern analyses, while clarifying a number of common points of confusion in its application. In particular, the paper clarifies that LOLE is not a measure of expected total shortfall duration, a 2.4 hours per year LOLE target implies a less reliable system than a 1 day in 10 years (0.1 days per year) LOLE target, and exact conversions between hourly and daily LOLE targets are not generally possible. Illustrative examples are provided to help explain each of these points.

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