Electric energy storage systems integration in distribution grids

Giorgio, Alessandro Di; Liberati, Francesco; Lanna, Andrea

doi:10.1109/eeeic.2015.7165354

Cited by 16 publications

(8 citation statements)

References 27 publications

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“…Many energy storage power converters use a bulky 60-Hz step-up transformer like the AEG Power Solutions BESS inverter shown in Fig. 3 [11][12] . To eliminate this transformer, considerable effort has been invested in developing transformer-less converters [9][10] .…”

Section: Topology Descriptionmentioning

confidence: 99%

Evaluation of 1.2 kV SiC MOSFETs in multilevel cascaded H-bridge three-phase inverter for medium-voltage grid applications

Mhiesan

Umuhoza

Mordi

et al. 2019

Chin. J. Electr. Eng.

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A study is conducted to evaluate 1.2 kV silicon-carbide (SiC) MOSFETs in a cascaded H-bridge (CHB) three-phase inverter for medium-voltage applications. The main purpose of this topology is to remove the need for a bulky 60 Hz transformer normally used to step up the output signal of a voltage source inverter to a medium-voltage level. Using SiC devices (1.2-6.5 kV SiC MOSFETs) which have a high breakdown voltage, enables the system to meet and withstand the medium-voltage stress using only a minimal number of cascaded modules. The SiC-based power electronics when used in the presented topology considerably reduce the complexity usually encountered when Si devices are used to meet the medium-voltage level and power scalability. Simulation and preliminary experimental results on a low-voltage prototype verifies the nine-level CHB topology presented in this study.

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Section: Topology Descriptionmentioning

confidence: 99%

Evaluation of 1.2 kV SiC MOSFETs in multilevel cascaded H-bridge three-phase inverter for medium-voltage grid applications

Mhiesan

Umuhoza

Mordi

et al. 2019

Chin. J. Electr. Eng.

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“…A real-time control strategy was proposed [174] to dynamically balance electric consumption and generation, while considering REGs and ESSs in the network. This method is based on model predictive control (MPC) [175][176][177][178], by which the set points for traditional generation units and the ESSs are continuously updated regarding the state of charge of the BSSs and the forecasted REGs and demand.…”

Section: Constraint Satisfaction-based Rt-emssmentioning

confidence: 99%

“…This method is based on model predictive control (MPC) [175][176][177][178], by which the set points for traditional generation units and the ESSs are continuously updated regarding the state of charge of the BSSs and the forecasted REGs and demand. The MPC-based approach [174] was extended [179] to facilitate the day-ahead power reference-tracking functionality for the efficient operation of the network, while ensuring the operation of ESSs. The main objective of this study was smoothing and controlling of the power profile exchanged in the high-voltage/low-voltage (HV/MV) substation when high REGs are penetrated to the MV network.…”

Section: Constraint Satisfaction-based Rt-emssmentioning

confidence: 99%

A Survey of Real-Time Optimal Power Flow

et al. 2018

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There has been a strong increase of penetration of renewable energies into power systems. However, the renewables pose new challenges for the operation of the networks. Particularly, wind power is intermittently fluctuating, and, therefore, the network operator has to fast update the operations correspondingly. This task should be performed by an online optimization. Therefore, real-time optimal power flow (RT-OPF) has become an attractive topic in recent years. This paper presents an overview of recent studies on RT-OPF under wind energy penetration, offering a critical review of the major advancements in RT-OPF. It describes the challenges in the realization of the RT-OPF and presents available approaches to address these challenges. The paper focuses on a number of topics which are reviewed in chronological order of appearance: offline energy management systems (EMSs) (deterministic and stochastic approaches) and real-time EMSs (constraint satisfaction-based and OPF-based methods). The particular challenges associated with the incorporation of battery storage systems in the networks are explored, and it is concluded that the current research on RT-OPF is not sufficient, and new solution approaches are needed.Energies 2018, 11, 3142 2 of 20 time. However, the incorporation of BSSs into the network leads to dynamic state operations and thus introduces dynamic model equations to the OPF, which makes the problem more complex to solve. This complexity is due to the fact that the dynamic optimization is described by differential/difference equations, whereas static optimization requires only algebraic equations [30].Another issue is that the REG rate is uncertain. It means their output cannot be forecasted accurately, and there may be discrepancies between the forecasted and actually realized values. The uncertainties can lead to constraint violations and thus safety problems if they are not handled properly. Therefore, deterministic OPF methods are not suitable for the real operation of the networks, or their solutions need further modifications before realization. Besides, owing to fast fluctuating REG, in particular wind power, the network operators need to fast update-i.e., in real-time-the operation strategies correspondingly, in order for the network to operate economically and in its feasible region. Therefore, the real-time energy management systems (RT-EMSs) have attracted increasing interest from many researchers. In this paper, we classify the RT-EMSs into two main categories: (1) constraint satisfaction-based RT-EMSs, and (2) OPF-based RT-EMSs. The former can satisfy the technical constraints of the network in real time, but the solutions may not be optimal. The latter provides optimal solutions in real time while satisfying the constraints. It is noted that the technical constraints could be different for these two categories, depending on the components of the network (details can be seen in Section 2).The remainder of the paper is organized as follows: Section 2 provides the general formulation of OPF...

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“…Finally, the research reported in this paper is based on the work in [16], by the same authors. The present work significantly extends the previous work by: (i) modifying the MPC formulation so as to enable the day-ahead power reference tracking functionality; (ii) providing first theoretical results on the stability of the proposed control system in a simplified setting; (iii) performing more extended simulations, by testing the system under real working conditions and in presence of RES forecasting errors.…”

Section: Nomenclature E Pvmentioning

confidence: 99%

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

Giorgio

Liberati

Lanna

et al. 2017

IEEE Trans. Sustain. Energy

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In this paper, a model predictive control (MPC)\ud strategy is proposed to control the energy flows in a distribution\ud network node (e.g. a distribution substation) equipped with an\ud electric storage system (ESS) and serving a portion of the grid\ud with high penetration of renewable energy sources (RES). The\ud aim is to make the power flow at node level more controllable in\ud spite of the presence of fluctuating distributed energy resources.\ud In particular, the proposed control strategy is such that the\ud controlled power flow at node level tracks the profile established\ud on a day-ahead basis for efficient operation of the grid. That is\ud achieved by letting the MPC controller decide the current storage\ud power setpoint based on the forecasts of the demand and of the\ud RES output. Theoretical results are reported on the stability of\ud the proposed control scheme in a simplified setting foreseeing\ud zero forecasting error. The performance of the system in the\ud general case is then evaluated on a simulation basis. Simulations\ud show the effectiveness in managing RES fluctuations in realistic\ud settings

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Electric energy storage systems integration in distribution grids

Cited by 16 publications

References 27 publications

Evaluation of 1.2 kV SiC MOSFETs in multilevel cascaded H-bridge three-phase inverter for medium-voltage grid applications

Evaluation of 1.2 kV SiC MOSFETs in multilevel cascaded H-bridge three-phase inverter for medium-voltage grid applications

A Survey of Real-Time Optimal Power Flow

Model Predictive Control of Energy Storage Systems for Power Tracking and Shaving in Distribution Grids

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