Power Flow Stabilization and Control of Microgrid with Wind Generation by Superconducting Magnetic Energy Storage

Molina, Marcelo G.; Mercado, Pedro

doi:10.1109/tpel.2010.2097609

Cited by 123 publications

(63 citation statements)

References 31 publications

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“…However, in the off-grid system, there are no power and active power references [29,37,38]. Hence, as shown in Fig.…”

Section: Voltage Source Controlmentioning

confidence: 99%

Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

Xiong

et al. 2018

Applied Energy

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• A new control method of the hybrid energy storage system is introduced.• The battery lifetime has been proved to be extended in the real-time experiment.• A new experiment method is proposed using the RTDS&HIL to give real-time verification.• A battery lifetime prediction method is introduced.• The RTDS&HIL scheme highlights a flexible real-time experimental approach. This study proposes a hybrid energy storage system (HESS) composed of the superconducting energy storage system (SMES) and the battery. The system is designed to compensate power fluctuations within a microgrid. A novel control method is developed to share the instantaneous power between the SMES and the battery. The new control scheme takes into account the characteristics of the components of the HESS, and the battery charges and discharges as a function of the SMES current rather than directly to the power disturbances. In this way, the battery is protected from the abrupt power changes and works as an energy buffer to the SMES. An new hardware-in-loop experiment approach is introduced by integrating a real-time digital simulator (RTDS) with a control circuit to verify the proposed hybrid scheme and the new control method. This paper also presents a battery lifetime prediction method to quantify the benefits of the HESS in the microgrid. A much better power sharing between the SMES and the battery can be observed from the experimental results with the new control method. Moreover, compared to the battery only system the battery lifetime is quantifiably increased from 6.38 years to 9.21 years.

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“…However, in the off-grid system, there are no power and active power references [29,37,38]. Hence, as shown in Fig.…”

Section: Voltage Source Controlmentioning

confidence: 99%

Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

Xiong

et al. 2018

Applied Energy

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“…It should supply needed power for fast fluctuation and long time instability. In this paper, in order to benefit from various technology advantages and its simplicity, a battery bank is considered [10,22].…”

Section: Energy Storage Systemmentioning

confidence: 99%

Development of Control Structure for Hybrid Wind Generators with Active Power Capability

Niroomand

Won

2014

Advances in Power Electronics

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A hierarchical control structure is proposed for hybrid energy systems (HES) which consist of wind energy system (WES) and energy storage system (ESS). The proposed multilevel control structure consists of four blocks: reference generation and mode select, power balancing, control algorithms, and switching control blocks. A high performance power management strategy is used for the system. Also, the proposed system is analyzed as an active power filter (APF) with ability to control the voltage, to compensate the harmonics, and to deliver active power. The HES is designed with parallel DC coupled structure. Simulation results are shown for verification of the theoretical analysis.

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“…Short-term ESSs such as superconducting magnetic energy storage (SMES) systems [6], electrical double-layer capacitors (EDLCs) [7], and flywheel energy storage systems (FESSs) [8][9][10] as well as long-term ESSs such as battery energy storage systems (BESSs) [11,12] are applied to microgrid control. ESSs can also be used to control the power flow at point of common coupling in the grid-connected mode as well as to regulate the frequency and voltage of a microgrid in the islanded mode.…”

Section: Introductionmentioning

confidence: 99%

Application of Model Predictive Control to BESS for Microgrid Control

Nguyen¹,

Yoo²,

Kim³

2015

Energies

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Battery energy storage systems (BESSs) have been widely used for microgrid control. Generally, BESS control systems are based on proportional-integral (PI) control techniques with the outer and inner control loops based on PI regulators. Recently, model predictive control (MPC) has attracted attention for application to future energy processing and control systems because it can easily deal with multivariable cases, system constraints, and nonlinearities. This study considers the application of MPC-based BESSs to microgrid control. Two types of MPC are presented in this study: MPC based on predictive power control (PPC) and MPC based on PI control in the outer and predictive current control (PCC) in the inner control loops. In particular, the effective application of MPC for microgrids with multiple BESSs should be considered because of the differences in their control performance. In this study, microgrids with two BESSs based on two MPC techniques are considered as an example. The control performance of the MPC used for the control microgrid is compared to that of the PI control. The proposed control strategy is investigated through simulations using MATLAB/Simulink software. The simulation results show that the response time, power and voltage ripples, and frequency spectrum could be improved significantly by using MPC.

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Power Flow Stabilization and Control of Microgrid with Wind Generation by Superconducting Magnetic Energy Storage

Cited by 123 publications

References 31 publications

Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

Design and real-time test of a hybrid energy storage system in the microgrid with the benefit of improving the battery lifetime

Development of Control Structure for Hybrid Wind Generators with Active Power Capability

Application of Model Predictive Control to BESS for Microgrid Control

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