Collaborative energy management systems: design and evaluation for intelligent buildings, electric vehicles and street lighting

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Sierla, Seppo, Dr., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.advisor Tenno, Robert, Dr., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.author Nefedov, Evgeny
dc.date.accessioned 2018-05-03T09:02:49Z
dc.date.available 2018-05-03T09:02:49Z
dc.date.issued 2018
dc.identifier.isbn 978-952-60-7938-7 (electronic)
dc.identifier.isbn 978-952-60-7937-0 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/30645
dc.description.abstract This thesis is devoted to the design of collaborative energy management systems (CEMS): for coordinating large numbers of distributed energy resources (DER) and balancing the uncertainty arising from the unpredictability of DER user behavior. There is currently no field of research on holistic solutions to CEMS problems since their nature is very diverse for different applications. This thesis addresses the design requirements for various CEMS according to the objectives of energy efficiency, flexibility and robustness. The first case study is a fully decentralized CEMS for adaptive street lighting system aiming at energy savings. LED technology permits frequent dimming of luminaires, so real-time street lighting automation based on vehicle sensing was investigated, to provide only the required level of illumination at the right time and in the right place. The designed system is robust against changes to infrastructure and is flexible for adding or removing smart luminaires.The second case study is decentralized control of autonomous batteries for a group of households. The objective is to use the electric vehicle (EV) batteries to supply the households to minimize the cost of electricity bought from the grid. The smart batteries collaborate in a fully decentralized peer-to-peer architecture, exchanging all relevant information and reacting to electricity price. They execute the same algorithms to achieve electricity cost savings at the level of the group of households taking into account the unpredictable availability of each EV at the parking lot. The third CEMS case investigates additional possibilities for using EVs in the context of V2B (Vehicle-to-Building) at a large prosumer building with local photovoltaic (PV) generation. Excess solar generation is stored to the EV batteries and later used to cover the load of the building at times when the load exceeds the PV generation. The profitability of the approach is assessed, taking into consideration battery degradation costs. The EV notifies the prosumer of its willingness to participate in the CEMS, the departure time and the intended State of Charge (SOC). A centralized agent-based design of the CEMS was investigated to ensure that the prosumer is able to achieve the intended SOC for all EVs at the announced departure time, at the same time coping with early departures of some EVs. The last line of research was devoted to the questions about how the quantitative benefits from the previous use cases would change with more accurate battery models and optimal variable control of discharge current. The high-fidelity battery model was developed and variable current control schemes were investigated. It is identified that at a certain SOC, the battery stops working, and this SOC depends on the discharging current that was used. An optimal discharging strategy is presented to pursue the conflicting objectives of achieving a low SOC while using a high discharge current. en
dc.format.extent 87 + app. 45
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 67/2018
dc.relation.haspart [Publication 1]: E. Nefedov, M. Maksimainen, C.W. Yang, P. Flikkema, S. Sierla, I. Kosonen, T. Luttinen. "Energy Efficient Traffic-Based Street Lighting Automation", In: Proc. IEEE 23rd int. symp. industrial electronics, Istanbul; 2014. p. 1718–1723. DOI: 10.1109/ISIE.2014.6864874
dc.relation.haspart [Publication 2]: C.W. Yang, E. Nefedov, S. Sierla, P. Flikkema. ”Vehicle and pedestrian aware street lighting automation”, In: IEEE 13th International Conference on Industrial Informatics (INDIN), 2015, pp. 1269-1274. DOI: 10.1109/INDIN.2015.7281917
dc.relation.haspart [Publication 3]: E. Nefedov, V. Vyatkin. "Decentralised Coordination of Intelligent Autonomous Batteries", Technological innovation for cyber-physical systems : 7th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2016, Costa de Caparica, Portugal, April 11-13, 2016, Proceedings. New York: Springer, 2016. s. 425-433. DOI: 10.1007/978-3-319-31165-4_40
dc.relation.haspart [Publication 4]: E. Nefedov, V. Vyatkin. “Evaluating benefits of collaborative intelligent batteries in SmartGrid”, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, 2016, pp. 5265 – 5270. DOI: 10.1109/IECON.2016.7793864
dc.relation.haspart [Publication 5]: E. Nefedov, S. Sierla, V. Vyatkin. “Towards electric vehicles integration to distributed energy resources of prosumer”. In: 15th IEEE International Conference on Industrial Informatics (INDIN), 2017, Germany, pp. 769-772. DOI: 10.1109/INDIN.2017.8104869
dc.relation.haspart [Publication 6]: E. Nefedov, S. Sierla, V. Vyatkin. “Internet of Energy approach for sustainable use of electric vehicles as energy storage of prosumer building”, IEEE Transactions on Industrial Informatics, submitted, 2017
dc.relation.haspart [Publication 7]: R. Tenno, E. Nefedov. “Electrolyte depletion control laws for lead-acid battery discharge optimization”, in Journal of Power Sources, 270 (2014), pp. 658-667. DOI: 10.1016/j.jpowsour.2014.07.154
dc.subject.other Electrical engineering en
dc.subject.other Energy en
dc.title Collaborative energy management systems: design and evaluation for intelligent buildings, electric vehicles and street lighting en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Sähkötekniikan ja automaation laitos fi
dc.contributor.department Department of Electrical Engineering and Automation en
dc.subject.keyword collaborative systems en
dc.subject.keyword internet of energy en
dc.subject.keyword smart grid en
dc.subject.keyword modelling en
dc.subject.keyword battery en
dc.subject.keyword street lighting en
dc.identifier.urn URN:ISBN:978-952-60-7938-7
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Vyatkin, Valeriy, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.opn Sauter, Thilo, Prof., Danube University Krems, Austria
dc.opn Annus, Paul, Dr., Tallinn University of Technology, Estonia
dc.contributor.lab Information Technologies in Automation Group en
dc.rev Palensky, Peter, Prof., TU Delft, Netherlands
dc.rev Sauter, Thilo, Prof., Danube University Krems, Austria
dc.date.defence 2018-04-27
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