Incorporating State-of-Charge Balancing into the Control of Energy Storage Systems for Smoothing Renewable Intermittency

Shim, Jae Yeob; Kim, Heejin; Hur, Kyeong

doi:10.3390/en12071190

Cited by 7 publications

(11 citation statements)

References 24 publications

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“…In this section, we present the power smoothing method for WT using ESS while managing SOC based on the energy feedback management method as the research background proposed in [31]. The block diagram of the power smoothing method considering SOC management is shown in Fig.…”

Section: Research Background Of Power Smoothing Methods Based On Smentioning

confidence: 99%

“…The compensation power of battery can be obtained by subtracting the power compensation of SC from the power compensation of HESS as explained in (30). By adjusting the smoothing time constant of SC T 2 , we can control the fluctuating power of WTs assigned for SC and battery as explained in (27) and (31), respectively. The concept of the proposed power allocation control method is illustrated in Fig.…”

Section: Proposed Power Allocation Control Methods Of Hess Using Somentioning

confidence: 99%

“…The control of a HESS is designed on the basis of the transfer functions to indicate the control mechanism and behaviors of our method. In this regard, we employ an energy feedback methodology (i.e., SOC feedback method) relying on WTs power output for smoothing intermittent power of RES as proposed in [31]. Then, a theorem of HESS sizing based on the proposed method is provided.…”

Section: Proposed Power Smoothing Control Strategy Using Hybrid mentioning

confidence: 99%

“…SC power is for allocation between the battery and SC from the total power (HESS power). By substituting the HESS power in (19) and the SC power in (27) into the battery power in (30), the power of battery which is calculated based on the time constant is obtained in (31) and the battery power is rewritten in (32), implying T 1 has to always be larger than T 2 . The SOC of battery (SOC B ) is formulated through the power and battery size as (33), and the Laplace form of SOC B is expressed in (34).…”

Section: Battery Operation In Hessmentioning

confidence: 99%

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Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency

Thang

Shim

2020

IEEE Access

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This paper presents a method for improving capability of a Hybrid Energy Storage System (HESS) comprised of a battery and supercapacitor (SC), for smoothing power fluctuations of renewable energy sources by adaptively controlling the state of charge (SOC) allocation range using automatic SOC management. The proposed method secures the preset SOC range of both battery and SC for power smoothing applications of renewables and also has the ability to significantly smooth power fluctuations using the virtual capacity concept of an energy storage system (ESS) by extending the SOC usage range. The bode plots of the proposed method are analyzed to observe the coverage of the power spectrum in the frequency domain in each storage based on the case studies. A criterion of HESS sizing, both battery and SC, is also developed based on the SOC range, smoothing time constant, and the power rating of renewables. The proposed method for the integration of HESS on renewable energy sources is verified with simulation results and characteristic analysis using PSCAD/EMTDC and MATLAB software. INDEX TERMS Virtual capacity, adaptive SOC feedback, hybrid energy storage system (HESS), battery, supercapacitor (SC), renewable energy system (RES)

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Section: Research Background Of Power Smoothing Methods Based On Smentioning

confidence: 99%

Section: Proposed Power Allocation Control Methods Of Hess Using Somentioning

confidence: 99%

Section: Proposed Power Smoothing Control Strategy Using Hybrid mentioning

confidence: 99%

Section: Battery Operation In Hessmentioning

confidence: 99%

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Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency

Thang

Shim

2020

IEEE Access

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“…In order to reduce the power losses of the transmission system, ESS units are sited at the buses where wind turbines are in there [20]. By this way power curtailments of wind turbines are managed in this job [21]. In this work, the effect of ESS presence on security improvement of power systems hosting remarkable renewable energy resources is being assessed.…”

Section: Introductionmentioning

confidence: 99%

Security constrained optimal power flow in a power system based on energy storage system with high wind penetration

et al. 2020

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This study is focused on assessing the effect of energy storage system (ESS) presence on security improvement of power systems hosting remarkable renewable energy resources. To this end, ESS presence is suitably included in security-constrained optimal power flow (SCOPF) model; the required technical amendments are hence considered. To launch a realistic model, ramping constraints of thermal units are also taken into account, which, limit the generators from completely responding to power shortfalls. Considering a high penetration level of renewable generations, different scenarios of outages in transmission lines and generators are simulated to measure the line outage distribution factor (LODF) and power transfer distribution factor (PTDF). Also, in order to illustrate the economic impact of wind power generation curtailment and load shedding, two penalty parameters value of wind curtailment (VWC) and value of loss of load (VOLL) are considered in the model. Two test systems, including a PJM 5-bus system and an IEEE 24-bus RTS, are put under numerical studies to assess the possible impact of ESS on security improvement of the investigated systems. The obtained results are discussed in depth.

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Hybrid energy storage characterization for power profile enhancement in split‐shaft wind energy conversion systems

Akbari

Izadian

2022

Intl J of Energy Research

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Summary This paper characterizes an integrated hybrid energy storage unit required to support the new generator excitation system developed for doubly‐fed induction generators in the split‐shaft wind energy conversion units. The goal is to improve the power quality while significantly reducing the generator excitation power rating and component counts. The rotor excitation circuit is modified to directly include the storage to its DC link. The output power fluctuation can be attenuated solely by utilizing the rotor‐side converter making it self‐sufficient from the grid connection. The storage characteristics are identified based on several system design parameters, including the system inertia, inverter capacity, and energy storage capacity. The obtained power generation characteristics suggest an energy storage mix of fast‐acting types with a high energy capacity and moderate acting time. A feedback controller is designed to maintain the charge in the storage within the required limits. Adaptive model‐predictive control is also developed to reduce power generation fluctuations. The proposed system is investigated and simulated in MATLAB Simulink at different wind speeds to validate the results and demonstrate the system's dynamic performance. It is demonstrated that the system's inertia is critical to damping the high‐frequency oscillations of the wind power fluctuations. It is also shown that the bandwidth of the control system is determined by the system inertia and the size of the storage and inverter power rating.

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Incorporating State-of-Charge Balancing into the Control of Energy Storage Systems for Smoothing Renewable Intermittency

Cited by 7 publications

References 24 publications

Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency

Virtual Capacity of Hybrid Energy Storage Systems Using Adaptive State of Charge Range Control for Smoothing Renewable Intermittency

Security constrained optimal power flow in a power system based on energy storage system with high wind penetration

Hybrid energy storage characterization for power profile enhancement in split‐shaft wind energy conversion systems

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