Flexibility-Based Reserve Scheduling of Pumped Hydroelectric Energy Storage in Korea

Min, Chang-Gi; Kim, Mun-Kyeom

doi:10.3390/en10101478

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…The ESS has been used to improve the flexibility of a high-VRE-power systems [131][132][133]. It can be used to mitigate imbalances in power and voltage deviations to improve the power indices [134,135].…”

Section: Use Of Energy Storage System For Improving Flexibilitymentioning

confidence: 99%

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A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

et al. 2022

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This study presents a literature review on the concept of power system flexibility in terms of its definition, indices, algorithms, implementation, economic impacts, operational impacts, and security. Although there are tremendous reviews on this subject in the literature, each paper discusses specific aspects of flexibility. Moreover, the literature is devoid of a comprehensive review of the latest improvements in terms of implementation, operation, and economics, which are addressed by the collections presented in this study. This paper, therefore, surveys some improvements that have been made in recent decades. Furthermore, we highlight the impact of the high penetration of renewable energy and energy storage systems towards enhancing the improvement of power system flexibility.

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Section: Use Of Energy Storage System For Improving Flexibilitymentioning

confidence: 99%

“…Gang-Gai and Mun-Kyeom [131], demonstrated the use of pump hydroelectric storage (PHES) for flexibility improvement in power systems. A flexible-based reserve scheduling method was proposed for PHES to improve flexibility.…”

Section: Use Of Energy Storage System For Improving Flexibilitymentioning

confidence: 99%

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

et al. 2022

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“…Moreover, key features of the PHES systems include fast start-up time and high ramp rate. In Korea, for example, the PHES start-up time is 4 min and the ramp rate is ten to twenty times higher compared to that of combined cycle units, as reported in [7]. Hence, the introduction of PHES is particularly suitable for non-interconnected insular systems not only to increase the penetration of renewable energy sources, but also to tackle with the high cost of electricity production [2,8].…”

Section: Introductionmentioning

confidence: 99%

Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores)

Ioakimidis

Genikomsakis

2018

Sustainability

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This paper considers the case of São Miguel in the Azores archipelago as a typical example of an isolated island with high renewable energy potential, but low baseload levels, lack of energy storage facilities, and dependence on fossil fuels that incurs high import costs. Using the Integrated MARKAL-EFOM System (TIMES), a number of scenarios are examined in order to analyze and assess the potential benefits from the implementation of a seawater pumped-storage (SPS) system, in the absence or presence of electric drive vehicles (EDVs) under a grid-to-vehicle (G2V) approach. The results obtained show that the proposed solution increases the penetration of renewable energy in the system, thus reducing the dependence on fossil fuel imports and allowing, at the same time, for the deployment of EDVs as a promising environmentally friendly alternative to conventional vehicles with internal combustion engines.

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“…PSSs are an early form of modern energy storage and are important to the development of sustainable power systems. A PSS operates economically by generating electricity during peak demand periods and pumping water to storage tanks during off-peak periods; it thus plays an important role in the economical operation of conventional power systems and facilitates the efficient use of renewable energy (Gurung et al, 2016;van Meerwijk et al, 2016;Kocaman and Modi, 2017;Min and Kim, 2017;Ruppert et al, 2017;Sam and Gounden, 2017;Julian David Hunt et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

A Machine Learning-Based Model Predictive Control Method for Pumped Storage Systems

et al. 2021

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Integrated systems required for renewable energy use are under development. These systems impose more stringent control requirements. It is quite challenging to control a pumped storage system (PSS), which is a key component of such power systems. Because of the S-characteristic area of the PSS pump turbine, traditional proportional-integral-derivative (PID) control induces considerable speed oscillation under medium and low water heads. PSSs are difficult to model because of their nonlinear characteristics. Therefore, we propose a machine learning (ML)-based model predictive control (MPC) method. The ML algorithm is based on Koopman theory and experimental data that includes PSS state variables, and is used to establish linear relationships between the variables in high-dimensional space. Subsequently, a simple, accurate mathematical PSS model is obtained. This mathematical model is used via the MPC method to obtain the predicted control quantity value quickly and accurately. The feasibility and effectiveness of this method are simulated and tested under various operating conditions. The results demonstrate that the proposed MPC method is feasible. The MPC method can reduce the speed oscillation amplitude and improve the system response speed more effectively than PID control.

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Flexibility-Based Reserve Scheduling of Pumped Hydroelectric Energy Storage in Korea

Cited by 14 publications

References 19 publications

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

A Review of Improvements in Power System Flexibility: Implementation, Operation and Economics

Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores)

A Machine Learning-Based Model Predictive Control Method for Pumped Storage Systems

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