Adaptive Coordination for Power and SoC Limiting Control of Energy Storage in an Islanded AC Microgrid With Impact Load

Sun, Chu; Joós, G.; Bouffard, François

doi:10.1109/tpwrd.2019.2916034

“…This, also, imposes degradation costs which affect its optimal operation. Additionally, providing the frequency support may cause the SoC of BESS to not follow the optimal schedule given by steady-state programs, like economic dispatch, or even may make the BESS goes beyond its SoC limits [11]. This issue is more vital in the low-voltage MGs where the loads change randomly and frequently.…”

Section: Research Gapsmentioning

confidence: 99%

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Eskandari¹,

Rajabi²,

Savkin³

et al. 2022

Preprint

0

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The literature on microgrid (MG) studies can be categorized as those that investigated the dynamics or economics of MG systems. Due to the important roles of battery energy storage systems (BESSs) in MGs, the BESSs have been involved in both economics and dynamics studies but mostly separately due to the different time constants of studies. Whereas, in the complicated modern MGs, the BESS is the joint point that bridges these two studies. Thus, studying merely one aspect of economy-dynamic without considering the other aspect would not be accurate. To bridge this gap, this paper reviews, analysis and classifies the BESSs applications, based on their time constants, by merging of which helps researchers to develop joint economy-dynamics models that would be the future trend in the field. The classified BESS applications are 1) inertia synthesis, 2) primary frequency response to compensate slow response time of micro-sources (MSs) for load tracking, 3) real-time energy management for the integration of intermittent renewables, 4) economic dispatch and optimal power flow for improving steady-state performance, and 5) slack bus realization. The research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.

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“…3. Since the voltage reference of the battery does not change and set to v dc,ref as well, the battery is also operated in the isochronous mode which only compensates the transient loads as a swing machine [19], [20]. To assign fast load compensation to the battery and slow transient to the DGs, low-pass filters are used in the DC voltage measurement as seen in Fig.…”

Section: B Load Sharing Between the Energy Sourcesmentioning

confidence: 99%

Modeling and Predictive Control of Shipboard Hybrid DC Power Systems

Park

¹

,

Zadeh

²

2021

IEEE Trans. Transp. Electrific.

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Although onboard DC power systems bring values for the power and propulsion system of the future hybrid ships, the main barrier for the development of such systems for large scale vessels is the technical operational issues such as stability and power quality and how to satisfy the related standards and regulations. In the advanced ship power systems, the conventional diode rectifiers are being replaced with active front end (AFE) rectifiers providing the control flexibility but at higher cost. However, to make such devices more profitable, the ship control system can be reconfigured to unlock the potentials of AFEs for the general system stability. This paper is dealing with the stability issue of hybrid DC power systems proposing a predictive control approach to improve the voltage regulation and better use of converters. The proposed method replaces the conventional direct power control (DPC) of AFE rectifiers with a model predictive control (MPC) and integrates the DC-DC converters in the same control platform. In this method, optimal control commands for the rectifiers and the DC-DC converter are calculated by the predictive control to minimize the DC bus voltage fluctuations, especially under the fast load changes. The controller is then extended to regulate the load sharing between the different energy units. The effectiveness of the proposed method is evaluated in simulation with a typical ship load profile as well as a real ship profile which have several operating modes such as steep load increase & decrease, high speed, and maneuvering operation. The performance of the proposed control strategy is compared with conventional controllers, and the results show that the new method can provide significant advantages in terms of fast and stable control performance, as well as the steady-state voltage regulation and enhancing the power smoothing function of the battery. Laboratory experimental data are also used for validation. Index Terms-Model predictive control, batteries, onboard DC power system, hybrid electric ships.

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“…This, also, imposes degradation costs which affect its optimal operation. Additionally, providing the frequency support may cause the SoC of BESS to not follow the optimal schedule given by economic dispatch or even may make the BESS goes beyond its SoC limits [10]. This issue is more vital in the low-voltage MGs where the loads change randomly and frequently.…”

Section: Covering Intermittent Renewables (1~15 𝑚𝑖𝑛𝑠)mentioning

confidence: 99%

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Eskandari¹,

Rajabi²,

Savkin³

et al. 2021

Preprint

1

0

View full text Add to dashboard Cite

The literature on microgrid (MG) studies can be categorized as those that investigated the dynamics or economics of MG systems. Due to the important roles of battery energy storage systems (BESSs) in MGs, the BESSs have been involved in both economics and dynamics studies but mostly separately due to the different time constants of studies. Whereas, in the complicated modern MGs, the BESS is the joint point that bridges these two studies. Thus, studying merely one aspect of economy-dynamic without considering the other aspect would not be accurate. To bridge this gap, this paper reviews, analysis and classifies the BESSs applications, based on their time constants, by merging of which helps researchers to develop joint economy-dynamics models that would be the future trend in the field. The classified BESS applications are 1) inertia synthesis, 2) primary frequency response to compensate slow response time of micro-sources (MSs) for load tracking, 3) real-time energy management for the integration of intermittent renewables, 4) economic dispatch and optimal power flow for improving steady-state performance, and 5) slack bus realization. The research gaps and future trends have been discussed throughout the paper and are summarized in the future trend section.

show abstract

Adaptive Coordination for Power and SoC Limiting Control of Energy Storage in an Islanded AC Microgrid With Impact Load

Cited by 40 publications

References 34 publications

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

Modeling and Predictive Control of Shipboard Hybrid DC Power Systems

Battery Energy Storage Systems (BESSs) and the Economy-Dynamics of Microgrids: Review, Analysis, and Classification for Standardization of BESSs Applications

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