A Microcontroller-Based Power Management System for Standalone Microgrids With Hybrid Power Supply

Belvedere, Bruno; Bianchi, Michele; Borghetti, Alberto; Nucci, Carlo Alberto; Paolone, Mario; Peretto, A.

doi:10.1109/tste.2012.2188654

Cited by 142 publications

(87 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For batteries, constraints (7) and (8) are the maximum charging/discharging power of a battery. These two states are mutually exclusive, which is ensured by (9). The battery state of charge (SOC) is defined by (10) and the limit of SOC is enforced by (11).…”

Section: Centralized Community Microgrid Schedulingmentioning

confidence: 99%

A New Distributed Optimization for Community Microgrids Scheduling

Liu¹,

Starke²,

Xiao³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

Abstract-This paper proposes a distributed optimization model for community microgrids considering the building thermal dynamics and customer comfort preference. The microgrid central controller (MCC) minimizes the total cost of operating the community microgrid, including fuel cost, purchasing cost, battery degradation cost and voluntary load shedding cost based on the customers' consumption, while the building energy management systems (BEMS) minimize their electricity bills as well as the cost associated with customer discomfort due to room temperature deviation from the set point. The BEMSs and the MCC exchange information on energy consumption and prices. When the optimization converges, the distributed generation scheduling, energy storage charging/discharging and customers' consumption as well as the energy prices are determined. In particular, we integrate the detailed thermal dynamic characteristics of buildings into the proposed model. The heating, ventilation and air-conditioning (HVAC) systems can be scheduled intelligently to reduce the electricity cost while maintaining the indoor temperature in the comfort range set by customers. Numerical simulation results show the effectiveness of proposed model.

show abstract

Section: Centralized Community Microgrid Schedulingmentioning

confidence: 99%

A New Distributed Optimization for Community Microgrids Scheduling

Liu¹,

Starke²,

Xiao³

et al. 2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

View full text Add to dashboard Cite

show abstract

“…However, this representation might be inaccurate as it does not account for the rate capacity effect. In this work, we utilize the following model, that is a discretized version of the model proposed in [10]:…”

Section: A Day-ahead Of Operationmentioning

confidence: 99%

Control of a battery energy storage system accounting for the charge redistribution effect to dispatch the operation of a medium voltage feeder

Sossan

Torregrossa

Namor

et al. 2015

2015 IEEE Eindhoven PowerTech

View full text Add to dashboard Cite

Abstract-We describe a process to dispatch the operation of a medium voltage distribution feeder and improve its qualityof-service using a battery energy storage system (BESS). It is organized according to a day-ahead and intra-day structure to allow the integration with electricity markets. In the former stage, the average power transit on a 5-minute resolution is determined for the next day of operation using adaptive blackbox forecasting. In the latter stage, the feeder operation is dispatched according to the previously determined trajectory. The resulting tracking problem is accomplished by using the BESS to compensate for deviations from the dispatched plan, which are likely to occur due to forecasting errors. For the first time in the literature, the control strategy is realized using model predictive control (MPC) accounting for the battery charge redistribution effect. This phenomena is described using a stateof-the-art lithium battery model. A simulated proof-of-concept is given.

show abstract

“…Nowadays, distributed generations (DGs) have been increasingly applied in modern electrical distribution systems because of challenges, such as the increasing demand for energy, environmental problems, and increasing reliability of power systems [1,2]. The high penetration levels of DGs cause problems, such as inverse power flow, voltage fluctuation, and protection problem in the distribution system.…”

Section: Introductionmentioning

confidence: 99%

Modelling and control of solid oxide fuel cell generation system in microgrid

Zhou

Sun

et al. 2017

Journal of Electrical Engineering

View full text Add to dashboard Cite

Compared with other kinds of fuel cells, solid oxide fuel cell (SOFC) has been widely used in microgrids because of its higher efficiency and longer operation life. The weakness of SOFC lies in its slow response speed when grid disturbance occurs. This paper presents a control strategy that can promote the response speed and limit the fault current impulse for SOFC systems integrated into microgrids. First, the hysteretic control of the bidirectional DC-DC converter, which joins the SOFC and DC bus together, is explored. In addition, an improved droop control with limited current protection is applied in the DC-AC inverter, and the active synchronization control is applied to ensure a smooth transition of the microgrid between the grid-connected mode and the islanded mode. To validate the effectiveness of this control strategy, the control model was built and simulated in PSCAD/EMTDC. K e y w o r d s: bidirectional DC-DC converter, fault current, microgrid, mode transition, solid oxide fuel cell (SOFC)

show abstract

A Microcontroller-Based Power Management System for Standalone Microgrids With Hybrid Power Supply

Cited by 142 publications

References 26 publications

A New Distributed Optimization for Community Microgrids Scheduling

A New Distributed Optimization for Community Microgrids Scheduling

Control of a battery energy storage system accounting for the charge redistribution effect to dispatch the operation of a medium voltage feeder

Modelling and control of solid oxide fuel cell generation system in microgrid

Contact Info

Product

Resources

About