Cost-effective supervision of community microgrids with guaranteed battery lifetime: A model predictive control approach

Francesco Tedesco; Lubna Mariam; Malabika Basu; Alessandro Casavola; Michael F. Conlon

Cost-effective supervision of community microgrids with guaranteed battery lifetime: A model predictive control approach

Francesco Tedesco, Lubna Mariam, Malabika Basu, Alessandro Casavola, Michael F. Conlon

School of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, an Economic Model Predictive Control (EMPC) strategy is investigated for the solution of the pricing management problem in a Community-based microgrid (C-μGCC). The main goal is that of satisfying the demand at consumer sides and, at the same time, optimizing several μ-Grid contrasting objectives. Particular attention has been devoted to the satisfaction of the operational constraints on the lifetime of certain components. The fulfilment of these constraints is beneficial for reducing the maintenance and replacement costs. Simulations have been carried out on the basis of available measured data related to a location in Dublin, Ireland. The effectiveness of the EMPC approach to optimally manage the system is clear from the obtained results.

Original language	English
Title of host publication	Distributed Generation
Subtitle of host publication	Systems, Performance and Emerging Technologies
Publisher	Nova Science Publishers, Inc.
Pages	189-202
Number of pages	14
ISBN (Electronic)	9781536110814
ISBN (Print)	9781536110746
Publication status	Published - 1 Jan 2017

Keywords

Battery life-time
Economics of renewable energy systems
Microgrids management
Model predictive control
Renewable energy

Cite this

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abstract = "In this chapter, an Economic Model Predictive Control (EMPC) strategy is investigated for the solution of the pricing management problem in a Community-based microgrid (C-μGCC). The main goal is that of satisfying the demand at consumer sides and, at the same time, optimizing several μ-Grid contrasting objectives. Particular attention has been devoted to the satisfaction of the operational constraints on the lifetime of certain components. The fulfilment of these constraints is beneficial for reducing the maintenance and replacement costs. Simulations have been carried out on the basis of available measured data related to a location in Dublin, Ireland. The effectiveness of the EMPC approach to optimally manage the system is clear from the obtained results.",

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Cost-effective supervision of community microgrids with guaranteed battery lifetime: A model predictive control approach. / Tedesco, Francesco; Mariam, Lubna; Basu, Malabika et al.
Distributed Generation: Systems, Performance and Emerging Technologies. Nova Science Publishers, Inc., 2017. p. 189-202.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Tedesco, Francesco

AU - Mariam, Lubna

AU - Basu, Malabika

AU - Casavola, Alessandro

AU - Conlon, Michael F.

PY - 2017/1/1

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N2 - In this chapter, an Economic Model Predictive Control (EMPC) strategy is investigated for the solution of the pricing management problem in a Community-based microgrid (C-μGCC). The main goal is that of satisfying the demand at consumer sides and, at the same time, optimizing several μ-Grid contrasting objectives. Particular attention has been devoted to the satisfaction of the operational constraints on the lifetime of certain components. The fulfilment of these constraints is beneficial for reducing the maintenance and replacement costs. Simulations have been carried out on the basis of available measured data related to a location in Dublin, Ireland. The effectiveness of the EMPC approach to optimally manage the system is clear from the obtained results.

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KW - Economics of renewable energy systems

KW - Microgrids management

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PB - Nova Science Publishers, Inc.

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Cost-effective supervision of community microgrids with guaranteed battery lifetime: A model predictive control approach

Abstract

Keywords

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