A Two-Level Model Predictive Control-Based Approach for Building Energy Management including Photovoltaics, Energy Storage, Solar Forecasting and Building Loads

Agharazi, Hanieh; Prica, Marija D.; Loparo, Kenneth A.

doi:10.3390/en15103521

A Two-Level Model Predictive Control-Based Approach for Building Energy Management including Photovoltaics, Energy Storage, Solar Forecasting and Building Loads

Journal Article · Wed May 11 00:00:00 EDT 2022 · Energies

DOI:https://doi.org/10.3390/en15103521· OSTI ID:1867285

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This paper uses a two-level model predictive control-based approach for the coordinated control and energy management of an integrated system that includes photovoltaic (PV) generation, energy storage, and building loads. Novel features of the proposed local controller include (1) the ability to simultaneously manage building loads and energy storage to achieve different operational objectives such as energy efficiency, economic cost efficiency, demand response and grid optimization through the design of specific power trajectory tracking performance functionals, (2) an energy trim function that minimizes the impact of solar forecasting errors on system performance, and (3) the design of a state of charge controller that uses day-ahead forecast of solar power and building loads to intialize energy storage at the start of each day. The local controller is tested in simulation using an exemplary system with PV generation, energy storage and dispatchable building loads. Two sample days with different PV forecasts and multiple case scenarios are considered, and the performance of the algorithm in managing the real and reactive net building load trajectories and the ramp rate of PV injections into the utility network are evaluated. The simulations are based on actual forecasted and measured PV data, and the results show that the local controller meets the tracking requirements for real and reactive power within the operating constraints of the building.

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Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

OSTI ID:: 1867285

Alternate ID(s):: OSTI ID: 1981136

Journal Information:: Energies, Journal Name: Energies Journal Issue: 10 Vol. 15; ISSN 1996-1073; ISSN ENERGA

Publisher:: MDPI AGCopyright Statement

Country of Publication:: Switzerland

Language:: English

References (20)

Constrained model predictive control: Stability and optimality Mayne, D. Q.; Rawlings, J. B.; Rao, C. V. Automatica, Vol. 36, Issue 6 https://doi.org/10.1016/S0005-1098(99)00214-9	journal	June 2000
A survey of industrial model predictive control technology Qin, S. Joe; Badgwell, Thomas A. Control Engineering Practice, Vol. 11, Issue 7, p. 733-764 https://doi.org/10.1016/S0967-0661(02)00186-7	journal	July 2003
Energy management for an electro-thermal renewable–based residential microgrid with energy balance forecasting and demand side management Pascual, Julio; Arcos-Aviles, Diego; Ursúa, Alfredo Applied Energy, Vol. 295 https://doi.org/10.1016/j.apenergy.2021.117062	journal	August 2021
An MPC approach to the design of two-layer hierarchical control systems Picasso, Bruno; De Vito, Daniele; Scattolini, Riccardo Automatica, Vol. 46, Issue 5 https://doi.org/10.1016/j.automatica.2010.02.013	journal	May 2010
Data-driven predictive control for unlocking building energy flexibility: A review Kathirgamanathan, Anjukan; De Rosa, Mattia; Mangina, Eleni Renewable and Sustainable Energy Reviews, Vol. 135 https://doi.org/10.1016/j.rser.2020.110120	journal	January 2021
Model predictive control for demand side management in buildings: A survey Farrokhifar, Meisam; Bahmani, Hamidreza; Faridpak, Behdad Sustainable Cities and Society, Vol. 75 https://doi.org/10.1016/j.scs.2021.103381	journal	December 2021
Cloud effects on distributed photovoltaic generation: slow transients at the Gardner, Massachusetts photovoltaic experiment Kern, E. C.; Gulachenski, E. M.; Kern, G. A. IEEE Transactions on Energy Conversion, Vol. 4, Issue 2 https://doi.org/10.1109/60.17910	journal	June 1989
Enhancing the utilization of photovoltaic power generation by superconductive magnetic energy storage Tam, K. -S.; Kumar, P.; Foreman, M. IEEE Transactions on Energy Conversion, Vol. 4, Issue 3 https://doi.org/10.1109/60.43230	journal	January 1989
PV Measures Up for Fleet Duty : Data from a Tennessee Plant Are Used to Illustrate Metrics That Characterize Plant Performance Trueblood, C.; Coley, S.; Key, T. IEEE Power and Energy Magazine, Vol. 11, Issue 2 https://doi.org/10.1109/MPE.2012.2234405	journal	March 2013
Optimal Energy Management of Microgrids using Sampling-Based Model Predictive Control Considering PV Generation Forecast and Real-time Pricing Ospina, Juan; Harper, Mario; Newaz, Alvi 2019 IEEE Power & Energy Society General Meeting (PESGM) https://doi.org/10.1109/PESGM40551.2019.8973628	conference	August 2019
Economic model predictive control for energy management in a hybrid storage microgrid Alarcon, Martin A.; Alarcon, Rodrigo G.; Gonzalez, Alejandro H. 2021 XIX Workshop on Information Processing and Control (RPIC) https://doi.org/10.1109/RPIC53795.2021.9648465	conference	November 2021
A Model Predictive Control Approach to Microgrid Operation Optimization Parisio, Alessandra; Rikos, Evangelos; Glielmo, Luigi IEEE Transactions on Control Systems Technology, Vol. 22, Issue 5 https://doi.org/10.1109/TCST.2013.2295737	journal	September 2014
The Effects of Moving Clouds on Electric Utilities with Dispersed Photovoltaic Generation Jewell, Ward; Ramakumar, R. IEEE Transactions on Energy Conversion, Vol. EC-2, Issue 4 https://doi.org/10.1109/TEC.1987.4765894	journal	December 1987
Ramp-Rate Control of Photovoltaic Generator With Electric Double-Layer Capacitor Kakimoto, Naoto; Satoh, Hiroyuki; Takayama, Satoshi IEEE Transactions on Energy Conversion, Vol. 24, Issue 2 https://doi.org/10.1109/TEC.2008.2001580	journal	June 2009
A Novel Approach for Ramp-Rate Control of Solar PV Using Energy Storage to Mitigate Output Fluctuations Caused by Cloud Passing Alam, M. J. E.; Muttaqi, K. M.; Sutanto, D. IEEE Transactions on Energy Conversion, Vol. 29, Issue 2, p. 507-518 https://doi.org/10.1109/TEC.2014.2304951	journal	June 2014
An Effective Energy Management With Advanced Converter and Control for a PV-Battery Storage Based Microgrid to Improve Energy Resiliency Mahfuz-Ur-Rahman, A. M.; Islam, Md. Rabiul; Muttaqi, Kashem M. IEEE Transactions on Industry Applications, Vol. 57, Issue 6 https://doi.org/10.1109/TIA.2021.3115085	journal	November 2021
Control and Optimization of Grid-Tied Photovoltaic Storage Systems Using Model Predictive Control Wang, Trudie; Kamath, Haresh; Willard, Steve IEEE Transactions on Smart Grid, Vol. 5, Issue 2 https://doi.org/10.1109/TSG.2013.2292525	journal	March 2014
Bilevel Optimization Framework for Smart Building-to-Grid Systems Razmara, Meysam; Bharati, Guna R.; Shahbakhti, Mahdi IEEE Transactions on Smart Grid, Vol. 9, Issue 2 https://doi.org/10.1109/TSG.2016.2557334	journal	March 2018
Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations Li, Xiangjun; Hui, Dong; Lai, Xiaokang IEEE Transactions on Sustainable Energy, Vol. 4, Issue 2 https://doi.org/10.1109/TSTE.2013.2247428	journal	April 2013
Enabling Demand Response programs via Predictive Control of Building-to-Grid systems integrated with PV Panels and Energy Storage Systems Razmara, Meysam; Bharati, Guna R.; Hanover, Drew 2017 American Control Conference (ACC) https://doi.org/10.23919/ACC.2017.7962930	conference	May 2017

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