Estimation of Renewable Energy Volatility and Required Adjustable Speed Pumped Storage Power Generator Capacity Considering Frequency Stability in Korean Power System

Park, Minsu; Chun, Yang Sook; Lee, Yu-Seok

doi:10.1007/s42835-019-00151-8

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…Normally, asynchronous generation sources cannot provide inertia and a primary frequency response (PFR) to a system. The inertia and PFR capacities of a power system decrease when asynchronous generation sources replace flexible generation sources that were previously connected synchronously [1][2][3][4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment

Kim

Chun

2021

Energies

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In recent years, the need for generation mixes that consider the inertial constraints in unit commitment (UC) has increased because the inertia of these systems has decreased with the increased use of renewable energy. In these circumstances, single-machine models can calculate the minimum frequency and rate of change of frequency (RoCoF) at a high speed in terms of the characteristics of the changes in the generation mix, in order to identify the generation mixes that can satisfy inertial constraints. This study proposed methods to determine the parameters of the reduced frequency response (RFR) model, which is a single-machine model that considers the nonlinearity caused by restrictions on the generator’s output power, in order to apply inertial constraints to UC. The RFR models can include various forms of governor models and consider the nonlinear response characteristics of restrictions on the generator’s output power that change according to the scales of contingencies, system inertia, and changes in load characteristics through these parameters. From the simulations of real systems, it was observed that the parameters determined through the proposed methods achieved considerable accuracy in calculating the minimum frequency and RoCoF with the RFR model.

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Section: Introductionmentioning

confidence: 99%

Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment

Kim

Chun

2021

Energies

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“…Today, solar energy is gaining ground as a preferred alternative due to its many merits such as the fact of being free, available, non-polluting, noise-free and easy to install [1,2]. Despite these advantages, the extracted power from photovoltaic generator is always influenced by changing weather conditions making it difficult to control power generation [3] especially if subjected to partial shading, which causes power inefficiency and prevents a PV system from operating optimally. Hence the need for an effective MPPT controller capable of extracting the maximum power under changing external conditions.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Metaheuristic Technique to Control the Maximum Power Point of a Partially Shaded Photovoltaic System Using Crow Search Algorithm (CSA)

Houam

Terki

Bouarroudj

2020

J. Electr. Eng. Technol.

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The field of research in maximum power point tracking (MPPT) methods is experiencing great progress with a wide range of techniques being suggested, ranging from simple but ineffective methods to more effective but complex ones. Therefore, it is very important to propose a strategy that is both simple and effective in controlling the global maximum power point (GMPP) for a photovoltaic (PV) system under changing weather conditions, especially in partial shading cases (PSCs). This paper proposes a new design of an MPPT controller based on a metaheuristic optimization technique called Crow Search Algorithm (CSA) to attenuate the undesirable effects of partial shading on the tracking performances of standalone PV systems. CSA is a nature-inspired method based on the intelligent skills of the crow in the search process of hidden food places. CSA technique combines efficiency and simplicity using only two tuning parameters. The stability analysis of the proposed system is performed using a Lyapunov function. The simulation results for three different partial shading cases that are zero, weak and severe shading confirm the superior performance of CSA compared to PSO and P&O techniques in term of easy implementation, high efficiency and low power loss, decreasing considerably the convergence time by an average of 38.53%.

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“…usinas hidrelétricas reversíveis possuem várias vantagens já documentadas na literatura. EmMin-Su et al (2019), mostra-se que essas usinas são capazes de prover estabilidade de frequência mesmo quando submetidos às volatilidades de potência oriundas das fontes renováveis. EmLiu et al (2019), descreve-se que a combinação destas usinas com os sistemas fotovoltaicos tem potencial para elevados ganhos na geração de eletricidade, redução dos desequilíbrios de energia, aumento da geração sem afetar a confiabilidade da rede e aumento da eficiência dos modelos de pré-despacho.…”

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Aplicação da Programação Dinâmica na Coordenação Hidrotérmica de Sistemas Elétricos com Inclusão de Usinas Hidrelétricas Reversíveis

Clóvis Da Conceição M. Martins Júnior,

V Leonardo Paucar,

Raimundo Nonato Diniz C. Filho

2022

Proceedings IX Simpósio Brasileiro De Sistemas Elétricos

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Hydrothermal scheduling is a relevant stage of operation planning, whose objective is to minimize the total cost of operation, together with respecting the restrictions of electrical systems such as transmission losses and the power balance throughout of the demand horizon. In recent years there has been an increase in interest in the implementation of pumped-storage hydroplants in electrical systems in order to operate in conjunction with intermittent sources. With this new paradigm, the problem of hydrothermal scheduling has become more complex. This paper aims to apply the dynamic programming technique to solve the hydrothermal scheduling problem with the inclusion of pumped-storage hydroplants. The procedure is applied to an equivalent test system, and it is possible to obtain a lower cost in relation to the base case together with the established restrictions.Resumo: A coordenação hidrotérmica é uma relevante etapa do planejamento da operação, cujo objetivo é a minimização do custo total de operação, em conjunto com o respeito às restrições de sistemas elétricos como as perdas na transmissão e o balanço de potência ao longo do horizonte de demanda. Nos últimos anos houve um aumento no interesse pela implantação de usinas hidrelétricas reversíveis nos sistemas elétricos com a finalidade de operar em conjunto com fontes intermitentes. Com este novo paradigma, o problema da coordenação hidrotérmica se tornou mais complexo. Este trabalho objetiva a aplicação da técnica programação dinâmica para solucionar o problema de coordenação hidrotérmica com a inclusão de usinas hidrelétricas reversíveis. Aplica-se o procedimento a um sistema-teste equivalente, sendo possível obter um custo menor em relação ao caso-base junto com as restrições estabelecidas.

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Estimation of Renewable Energy Volatility and Required Adjustable Speed Pumped Storage Power Generator Capacity Considering Frequency Stability in Korean Power System

Cited by 7 publications

References 4 publications

Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment

Single-Machine Frequency Model and Parameter Identification for Inertial Constraints in Unit Commitment

An Efficient Metaheuristic Technique to Control the Maximum Power Point of a Partially Shaded Photovoltaic System Using Crow Search Algorithm (CSA)

Aplicação da Programação Dinâmica na Coordenação Hidrotérmica de Sistemas Elétricos com Inclusão de Usinas Hidrelétricas Reversíveis

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