Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid

Petrollese, Mario; Valverde, Luís; Cocco, Daniele; Cau, Giorgio; Guerra, José

doi:10.1016/j.apenergy.2016.01.014

Cited by 178 publications

(79 citation statements)

References 27 publications

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“…the excessive charge/discharge cycles of the BESS units [91]. A MPC and an EMS based on optimal generation scheduling (OGS) were combined to optimize the short-term operation of the microgrid [92]. The OGS was used to compare the expected power produced by the renewable generators with the expected load demanded over a period of days [92].…”

Section: Resultsmentioning

confidence: 99%

“…A MPC and an EMS based on optimal generation scheduling (OGS) were combined to optimize the short-term operation of the microgrid [92]. The OGS was used to compare the expected power produced by the renewable generators with the expected load demanded over a period of days [92]. Also, it defined the scheduling and evolution of the SOC of the ESSs for a few hours, minimizing the operating cost of the overall microgrid.…”

Section: Resultsmentioning

confidence: 99%

“…Also, it defined the scheduling and evolution of the SOC of the ESSs for a few hours, minimizing the operating cost of the overall microgrid. The MPC aims for real-time control in order to guarantee the microgrid stability [92]. A stochastic approach was implemented to forecast weather and load uncertainties.…”

Section: Resultsmentioning

confidence: 99%

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A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

et al. 2018

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Abstract:Energy storage has become a fundamental component in renewable energy systems, especially those including batteries. However, in charging and discharging processes, some of the parameters are not controlled by the battery's user. That uncontrolled working leads to aging of the batteries and a reduction of their life cycle. Therefore, it causes an early replacement. Development of control methods seeks battery protection and a longer life expectancy, thus the constant-current-constant-voltage method is mostly used. However, several studies show that charging time can be reduced by using fuzzy logic control or model predictive control. Another benefit is temperature control. This paper reviews the existing control methods used to control charging and discharging processes, focusing on their impacts on battery life. Classical and modern methods are studied together in order to find the best approach to real systems.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

et al. 2018

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“…More in details, the manufacturers of the electrolyzer and the fuel cell defined the life cycles of the devices as a function of number of working hours. It has been noticed in many studies [33][34][35][36][37] that the fluctuating loads and the operating cycles can seriously affect these devices in a number of ways. Therefore, in order to tackle such outlined problems, we propose the following cost…”

Section: Electrolyzer and Fuel Cell Cost Functionsmentioning

confidence: 99%

Mixed Logic Dynamic Models for MPC Control of Wind Farm Hydrogen-Based Storage Systems

et al. 2019

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The use of electric power by wind generation in actual grids is hampered by its inherent stochastic nature and the penalty deviations adopted in several electricity regulation markets with respect to power quality requirements. Coupling wind farms with advanced Energy Storage Systems (ESS) can help their integration within grids. In this direction, several studies have been conducted, but the problem is still open due to the constraints and limitations regarding the ESSs time autonomy, time response, degradation issues and overall costs. In order to take into account these relevant aspects, advanced control algorithms are needed. In this paper, a Model-Based Predictive Controller (MPC) is presented. Such a controller minimizes the degradation of the ESS and the load tracking error while fulfilling the operational constraints and dynamics. The ESS considered is hydrogen-based and the study has been developed within the EU-FCH 2 JU (European Union Fuel Cells and Hydrogen 2 Joint Undertaking) funded project HAEOLUS aiming at building and integrating advanced control strategies for a hydrogen-based ESS within a wind farm fence. Numerical simulations show the feasibility and the effectiveness of the proposed approach.

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“…Petrollese et al [18] used real-time predictions of renewable resources and load demand to develop a control strategy to achieve both long and short-term optimal planning of a grid-connected renewable hydrogen energy system. Standalone solar-hydrogen systems were successfully implemented and tested for renewable power supply in residential family houses in Freiburg, Germany [19], Zollbruck, Switzerland [20], China [21], Madrid, Spain [22] and in other twelve case studies.…”

Section: Solar-hydrogen Combined Heat and Power Systemsmentioning

confidence: 99%

Transient simulation modelling and energy performance of a standalone solar-hydrogen combined heat and power system integrated with solar-thermal collectors

Assaf

Shabani

2016

Applied Energy

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Real-time integration of optimal generation scheduling with MPC for the energy management of a renewable hydrogen-based microgrid

Cited by 178 publications

References 27 publications

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

A Review on Battery Charging and Discharging Control Strategies: Application to Renewable Energy Systems

Mixed Logic Dynamic Models for MPC Control of Wind Farm Hydrogen-Based Storage Systems

Transient simulation modelling and energy performance of a standalone solar-hydrogen combined heat and power system integrated with solar-thermal collectors

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