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Model predictive control of microgrids for real-time ancillary service market participation
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“Although multiple studies have discussed the selection of appropriate prediction horizons from aspects such as computational cost [30], prediction accuracy [23], and control performance [31], targeted research is still needed based on the environmental differences of edible mushroom factories.”
From Energy-Saving Control Method for Factory Mushroom Room Air Conditioning Based on MPC (2023) · cites this paper as [31]
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Cites
Model predictive control: Theory and practice—A survey
García, C. E., Prett, D. M., & Morari, M. (1989) · Automatica · doi:10.1016/0005-1098(89)90002-2 · Cited by 5,392
AMPL : a modeling language for mathematical programming
Fourer, R., & Kernighan, B. W. (1993) · Cited by 1,860
Microgrids: A review of technologies, key drivers, and outstanding issues
Hirsch, A. I., Parag, Y., & Guerrero, J. M. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.03.040 · Cited by 1,508
Optimization in microgrids with hybrid energy systems – A review
Fathima, A. H., & Palanisamy, K. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2015.01.059 · Cited by 710
Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience
Hussain, A., Bui, V., & Kim, H. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.02.055 · Cited by 517
Microgrid control: A comprehensive survey
Sen, S., & Kumar, V. (2018) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2018.04.012 · Cited by 228
Use of model predictive control for experimental microgrid optimization
Parisio, A., Rikos, E., Tzamalis, G., & Glielmo, L. (2013) · Applied Energy · doi:10.1016/j.apenergy.2013.10.027 · Cited by 225
Metrics and quantitative framework for assessing microgrid resilience against windstorms
Amirioun, M. H., Aminifar, F., Lesani, H., & Shahidehpour, M. (2019) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2018.07.025 · Cited by 208
Wang, J., Zhong, H., Tang, W., Rajagopal, R., Xia, Q. L., Kang, C., & Wang, Y. (2017) · Applied Energy · doi:10.1016/j.apenergy.2017.07.047 · Cited by 189
Bidding strategy of microgrid with consideration of uncertainty for participating in power market
Shi, L., Luo, Y., & Tu, G. Y. (2014) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2014.01.033 · Cited by 184
Parisio, A., Rikos, E., & Glielmo, L. (2016) · Journal of Process Control · doi:10.1016/j.jprocont.2016.04.008 · Cited by 158
Zhang, Z., Zhang, T., Wang, R., Liu, Y., & Guo, B. (2015) · Solar Energy · doi:10.1016/j.solener.2015.10.027 · Cited by 151
Zhang, Z., Wang, R., Zhang, T., Liu, Y., & Guo, B. (2016) · IET Generation Transmission & Distribution · doi:10.1049/iet-gtd.2015.1127 · Cited by 131
Application of microgrids in providing ancillary services to the utility grid
Majzoobi, A., & Khodaei, A. (2017) · Energy · doi:10.1016/j.energy.2017.01.113 · Cited by 129
Bruni, G., Cordiner, S., Mulone, V., Rocco, V., & Spagnolo, F. (2015) · Energy Conversion and Management · doi:10.1016/j.enconman.2015.01.067 · Cited by 113
Few, S., Schmidt, O., Offer, G. J., Brandon, N. P., Nelson, J., & Gambhir, A. (2018) · Energy Policy · doi:10.1016/j.enpol.2017.12.033 · Cited by 101
Self-citationA Study of Energy Management in Domestic Micro-grids Based on Model Predictive Control Strategies
Bruni, G., Cordiner, S., Mulone, V., Rocco, V., & Spagnolo, F. (2014) · Energy Procedia · doi:10.1016/j.egypro.2014.11.1013 · Cited by 82
Janko, S. A., Arnold, M. R., & Johnson, N. G. (2016) · Applied Energy · doi:10.1016/j.apenergy.2016.07.041 · Cited by 71
Self-citationA review on Microgrid architectures and control methods
Zhou, Y., & Ho, C. N. M. (2016) · International Power Electronics and Motion Control Conference (EPE-PEMC) · doi:10.1109/ipemc.2016.7512799 · Cited by 61
A review on microgrid control techniques
Borazjani, P., Wahab, N. I. A., Hizam, H., & Soh, A. C. (2014) · IEEE Innovative Smart Grid Technologies-Asia · doi:10.1109/isgt-asia.2014.6873886 · Cited by 59
Microgrids interconnection to support mutually during any contingency
Goyal, M., & Ghosh, A. (2016) · Sustainable Energy Grids and Networks · doi:10.1016/j.segan.2016.02.006 · Cited by 53
Market Evolution: Wholesale Electricity Market Design for 21st Century Power Systems
National Renewable Energy Lab. (NREL), G., Cochran, J., USDOE Office of Energy Efficiency and Renewable Energy (EERE), Miller, M., Milligan, M., Ela, E. G., Arent, D., Bloom, A., Futch, M., Kiviluoma, J., et al. (2013) · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · doi:10.2172/1260327 · Cited by 47
Advanced building energy management based on a two-stage receding horizon optimization
Gruber, J. K., Huerta, F., Matatagui, P., & Prodanović, M. (2015) · Applied Energy · doi:10.1016/j.apenergy.2015.09.049 · Cited by 46
Gomes, M. H., & Saraiva, J. T. (2010) · Electric Power Systems Research · doi:10.1016/j.epsr.2010.04.013 · Cited by 40
Microgrid energy management and control: Technical review
Monesha, S., Kumar, S. G., & Rivera, M. E. (2016) · IEEE International Conference on Automatica · doi:10.1109/ica-acca.2016.7778452 · Cited by 36
Primary Frequency Response and Control of Power System Frequency
Undrill, J. M. (2018) · eScholarship (California Digital Library) · Cited by 25
Resilience enhancement strategy using microgrids in distribution network
Wang, J., Xie, N., Wu, W., Han, D., Wang, C., & Zhu, B. (2018) · DOAJ (DOAJ: Directory of Open Access Journals) · doi:10.14171/j.2096-5117.gei.2018.05.002 · Cited by 24
A Model Predictive Control Framework for Residential Microgrids
Mehleri, E. D., Papageorgiou, L. G., Markatos, N. C., & Sarimveis, H. (2012) · Computer-aided chemical engineering/Computer aided chemical engineering · doi:10.1016/b978-0-444-59519-5.50066-6 · Cited by 19
Hierarchical control of power distribution systems
Arafeh, S. A. (1978) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1978.1101709 · Cited by 17
Hierarchical control strategies in AC microgrids
Khongkhachat, S., & Khomfoi, S. (2015) · International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) · doi:10.1109/ecticon.2015.7206968 · Cited by 16
Improving Power Quality in Low-Voltage Networks Containing Distributed Energy Resources
Mazumder, S., Ghosh, A., & Zare, F. (2013) · International Journal of Emerging Electric Power Systems · doi:10.1515/ijeeps-2013-0022 · Cited by 12
Dynamic Modeling, Stability, and Control of Power Systems with Distributed Energy ResourcesPreprint
Sadamoto, T., Chakrabortty, A., Ishizaki, T., & Imura, J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1804.04933 · Cited by 6
Microgrids: Legal and Regulatory Hurdles for a More Resilient Energy Infrastructure
Parks, R. (2019) · Pace Environmental Law Review · doi:10.58948/0738-6206.1823 · Cited by 3
Distributed Energy Resources and Power Quality
Chambers, T. (2018) · IEEE Rural Electric Power Conference (REPC) · doi:10.1109/repc.2018.00015 · Cited by 2
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Demand-side management in industrial sector: A review of heavy industries
Golmohamadi, H. (2021) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.111963 · Cited by 274
Salehi, N., García, H. M., Quesada, G. V., & Guerrero, J. M. (2022) · IEEE Access · doi:10.1109/access.2022.3142810 · Cited by 182
Smart grid evolution: Predictive control of distributed energy resources—A review
Babayomi, O. O., Zhang, Z., Dragičević, T., Hu, J., & Rodríguez, J. (2022) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2022.108812 · Cited by 149
Quantum computing in power systems
Zhou, Y., Tang, Z., Nikmehr, N., Babahajiani, P., Feng, F., Wei, T.-C., Zheng, H., & Zhang, P. (2022) · iEnergy · doi:10.23919/ien.2022.0021 · Cited by 105
Metadata
- Authors
- Nelson, J. R., & Johnson, N. G.
- Affiliations
- Arizona State University (US)
- Corresponding author
- Nelson, James R.
- ORCID
- Johnson, Nathan G.
- Venue
- Applied Energy
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 269
- Pages
- 114963
- ISSN
- 0306-2619 (ISSN-L)
- OpenAlex
- W3025717283
- Cited by
- 81
- References
- 36
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 15 · 2023: 15 · 2022: 22 · 2021: 11 · 2020: 4
- FWCI
- 6.43
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Applied Energy (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Funders
- National Science Foundation
- Office of Naval Research
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Power System Optimization
- Keywords
- model predictive control, microgrids, ancillary services, real-time electricity market, microgrid dispatch, battery energy storage, photovoltaics, diesel generator, spinning reserve, battery state of charge, operational cost reduction, grid-connected microgrid
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