An Analysis of Energy Storage Systems for Primary Frequency Control of Power Systems in South Korea

Moon, Hyeon-Jin; Yun, Ah-Yun; Kim, Eung-Sang; Moon, Seung-Il

doi:10.1016/j.egypro.2016.12.143

Cited by 13 publications

(9 citation statements)

References 9 publications

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“…Şekil-7 Batarya Eşdeğer Hız-Eğim Karakteristiği [7] Batarya depolama sisteminin dinamik karakteristiği basit ve çok hızlı olması nedeniyle batarya tepki modeli birinci dereceden zaman gecikmeli fonksiyon kullanılabilir [8].…”

Section: şEkil-6 Batarya Depolama Sistemi şEbeke Bağlantısıunclassified

Primer Frekans Kontrolünde Batarya Enerji Depolama Sistemleri Kullanımının Analizi

Ozdemirci¹,

Cebecı²

2020

European Journal of Science and Technology

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ÖzGüç sistemlerinde artan yenilenebilir üretim, düşen sistem ataleti ve buna bağlı olarak değişen sistem frekans davranışı olarak ortaya çıkmaktadır. Bu probleme depolama sistemlerinin frekans kontrolünde kullanımı ile önemli bir çözüm oluşturulabilmektedir. Batarya depolama sistemlerinin hızlı tepki verme özelliği, frekans kontrolünde en yaygın kullanılan teknoloji olmasını sağlamaktadır. Primer frekans kontrolü sistem frekansının düşmesine veya yükselmesine tepki olarak ünite aktif güç çıkışının otomatik artırılması veya düşürülmesi yoluyla sistem frekansının yeni bir denge noktasına getirilmesi olarak tanımlanır. Bu çalışmada bataryanın iletim sisteminde primer frekans kontrolünde kullanılması halinde sistem frekans kontrolü performansına katkısı Matlab/Simulink ortamında analiz edilmiştir. Yapılan analizlerde Türkiye güç sisteminde işletmede olan santrallerin bir bölümüne ait hız regülatörü ve türbin modelleri kullanılmıştır. Batarya kullanımı ile birlikte maksimum frekans sapmasının önemli oranda azaldığı benzetim sonuçları ile gösterilmiştir.

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Section: şEkil-6 Batarya Depolama Sistemi şEbeke Bağlantısıunclassified

Primer Frekans Kontrolünde Batarya Enerji Depolama Sistemleri Kullanımının Analizi

Ozdemirci¹,

Cebecı²

2020

European Journal of Science and Technology

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“…frequency support of the power system. In [7], ESSs are involved in the primary frequency control and proved to have a quick and stable response to the frequency fluctuation. Among the ESSs, BESS has also got a lot of attention.…”

Section: A Literature Reviewmentioning

confidence: 99%

Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for the Frequency Control

Chen

Bao

et al. 2019

IEEE Access

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In the past few years, Battery Energy Storage System (BESS) has been found of great potential in supporting the frequency control. Increasing attentions have been given to the control strategy of BESS. In this paper, a distributed control method considering the life-loss cost is proposed for BESS. Based on the multi-agent system, the Incremental Cost Consensus (ICC) algorithm is applied to minimize the life-loss cost of BESS. In order to improve the control performance, parameters of the system are optimized by Genetic Algorithm (GA). The simulation results are provided to verify the effectiveness of the proposed approach.

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“…Figure 1 shows the operation algorithm of the FR ESS. When the frequency of the system is normal, the FR ESS operates at steady state to maintain the 60 Hz reference frequency of the system in South Korea [2,9]. A dead frequency band is set and, when the frequency of the system is outside of this range, the ESS is operated to maintain the frequency of the system at 60 Hz.…”

Section: Operation Algorithm Design Of Frequency Regulation Essmentioning

confidence: 99%

“…The system matrix A shows how the system moves over time, and the system matrix H shows the relationship between measured values and state variables. The EKF linearizes the nonlinear model to obtain a linear model, which linearizes the model in a way that partially differentiates between the system matrices A and H. This can be expressed as a Jacobian matrix, as shown in Equations (9) and (10).…”

Section: Extended Kalman Filter Algorithm Designmentioning

confidence: 99%

“…The frequency of the power system continues to fluctuate according to the power demand, and the system generation unit adjusts its output to maintain the line frequency. The frequency regulation (FR) ESS is a highly economical operation method because it can partially take the role of a generator that operates for frequency maintaining purposes, thereby reducing the operating cost of the generator [8][9][10][11][12]. When a BESS is used for frequency regulation, it reacts momentarily to sudden frequency drops due to the transient state or micro demand fluctuation, so it can contribute effectively to the stabilization of the line frequency [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Research of Adaptive Extended Kalman Filter-Based SOC Estimator for Frequency Regulation ESS

et al. 2019

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To achieve frequency regulation, energy-storage systems (ESSs) are systems that monitor and maintain the grid frequency. In South Korea, the total installed capacity of battery ESSs (BESSs) is 376 MW, and these have been employed to achieve frequency regulation since 2015. When the frequency of a power grid is input, accurately estimating the state of charge (SOC) of a battery is difficult because it charges or discharges quickly according to the frequency regulation algorithm. If the SOC of a battery cannot be estimated, the battery can be used in either a high SOC or low SOC. This makes the battery unstable and reduces the safety of the ESS system. Therefore, it is important to precisely estimate the SOC. This paper proposes a technique to estimate the SOC in the test pattern of a frequency regulation ESS using extended Kalman filters. In addition, unlike the conventional extended Kalman filter input with a fixed-error covariance, the SOC is estimated using an adaptive extended Kalman filter (AEKF) whose error covariance is updated according to the input data. Noise is likely to exist in the environment of frequency regulation ESSs, and this makes battery-state estimation more difficult. Therefore, significant noise has been added to the frequency regulation test pattern, and this study compares and verifies the estimation performance of the proposed AEKF and a conventional extended Kalman filter using measurement data with severe noise.

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An Analysis of Energy Storage Systems for Primary Frequency Control of Power Systems in South Korea

Cited by 13 publications

References 9 publications

Primer Frekans Kontrolünde Batarya Enerji Depolama Sistemleri Kullanımının Analizi

Primer Frekans Kontrolünde Batarya Enerji Depolama Sistemleri Kullanımının Analizi

Battery Energy Storage System Based on Incremental Cost Consensus Algorithm for the Frequency Control

Research of Adaptive Extended Kalman Filter-Based SOC Estimator for Frequency Regulation ESS

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