Effects of the move towards renewables on the power system reliability and flexibility in South Korea

Min, Daiki; Ryu, Jong hyun; Choi, Dong Gu

doi:10.1016/j.egyr.2020.02.007

Cited by 30 publications

(12 citation statements)

References 35 publications

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“…Suppose that the number of state transitions is given, as shown in Table I. From Table I, the transition probability matrix [ ] can be calculated using (4).…”

Section: Background Of Markov Modelmentioning

confidence: 99%

“…Reliability studies are generally performed in the planning or short-term scheduling stages. Power system reliability indicates the overall ability of the power system to deliver its power generation to end-users [2][3][4][5]. Typical power system reliability studies are categorized into two groupsthose that address adequacy and those that address security [6].…”

Section: Introductionmentioning

confidence: 99%

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Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

Hong

Hsiao

et al. 2021

IEEE Access

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Reliability is a crucial consideration in the expansion of generation or transmission in a bulk power system, especially in a power grid with a high penetration of renewables. Reliability indices, such as loss of load probability (LOLP), are generally evaluated to determine the adequacy of a bulk power system in the future. When a Monte-Carlo simulation is conducted to evaluate the LOLP, the computational time is long because chronological time-series data are involved. This work proposes a novel scenario-based method for studying the LOLP in a bulk power system with a high penetration of renewables. Scenarios are generated by aggregating Markov states of hourly loads, photovoltaic power generations and wind power generations. The power flow result in each scenario is examined to ensure power balance among demand, supply and losses, so the LOLP can be obtained. This novel scenario-based method is more efficient than the traditional chronological time-series approach because the number of considered scenarios is much smaller than the number of considered time-series cases. A set of realistic data regarding Taiwan power system, consisting of 2078 buses associated with a peak load of 39.178 GW, wind power of 6.938GW and photovoltaic power of 20 GW in 2025 is used to validate the proposed method.INDEX TERMS Loss of load probability, Markov model, Monte-Carlo simulation, renewables, reliability.

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“…Suppose that the number of state transitions is given, as shown in Table I. From Table I, the transition probability matrix [ ] can be calculated using (4).…”

Section: Background Of Markov Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

Hong

Hsiao

et al. 2021

IEEE Access

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show abstract

“…They predict that thermal power capacity addition will have negative growth of 0.004% during 2030-2035. Min et al (2020) have created an optimisation model for flexibility of grid in view of phasing out of coal and nuclear plants in South Korea. They observe that in view of rapid addition of renewables for flexibilazation in the grid, the coal plants will still play a vital role.…”

Section: Literature Reviewmentioning

confidence: 99%

Crisis of Survival of Thermal Power Plants in India Due to Consistently Falling Capacity Utilization – Factors Responsible and Future Outlook

Tripathi¹

2021

IJEEP

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Thermal power plants in India are facing unprecedented crisis. Their capacity utilization (known as Plant Load Factor, PLF) has been consistently falling over the years. In the year 2019-2020 the national average PLF stood at 55.4%, down from 78.6% in 2007-2008. It is predicted that the national average PLF may fall to 48% by 2022. Many new thermal power plants, set up with substantial capital investment are staring at a bleak future. It is an irony that on one hand, the country is power deficit and on the other hand, a large amount of new, efficient and low-carbon-footprint thermal power remains grossly unutilised. Since considerable investment has gone into these thermal power assets, the falling PLF is a matter of concern for all the key stakeholders including the power producers, lenders, regulators and consumers. This paper identifies eleven major factors responsible for this situation and discusses future outlook of these factors. We find that urgent review of fresh thermal capacity addition, immediate phasing out of old inefficient plants and policy support to enable flexible operation of the thermal power generators are imperative to save the sector from imminent collapse.

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“…Min et al [4] in their paper highlight on the plan to switch to renewable energy, which recently has been a key element in the energy policy of the electricity system in South Korea. The renewable energy has raised questions about the reliability and flexibility of the electricity system.…”

Section: Introductionmentioning

confidence: 99%

ANFIS TVA Power Plants Availability Modeling Development

Qamber¹,

Al-Hamad²

2021

Forecasting in Mathematics - Recent Advances, New Perspectives and Applications

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In the present chapter, the evaluation of the Tennessee Valley Authority (TVA) Markov model transient behavior is derived and studied. It is focused on finding the models of the transient-state availability and unavailability of the four (TVA) models among using an adaptive neuro-fuzzy inference system (ANFIS). The developed ANFIS model for the TVA models is derived, and both availability and unavailability of the four TVA models are derived using the curve fitting technique, where each model of the transient availability of the three-state models of the TVA models is found. Each model is considered as a three-state model, and its equations obtained using the curve fitting technique are helping for the future availabilities and unavailabilities. The availability is a very important measure of performance for the availability of TVA power plants. The technique is used and applied on the four models in the present study to formulate and obtain the TVA models’ results and are compared. In addition, the generation effects on the reliability investigation. The generation study evaluates the improvement in reliability over a time.

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Effects of the move towards renewables on the power system reliability and flexibility in South Korea

Cited by 30 publications

References 35 publications

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study

Crisis of Survival of Thermal Power Plants in India Due to Consistently Falling Capacity Utilization – Factors Responsible and Future Outlook

ANFIS TVA Power Plants Availability Modeling Development

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