Domestic Space Heating Load Management in Smart Grid - Potential Benefits and Realization

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland Ali, Mubbashir 2016-10-05T09:01:38Z 2016-10-05T09:01:38Z 2016
dc.identifier.isbn 978-952-60-6962-3 (electronic)
dc.identifier.isbn 978-952-60-6963-0 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.description.abstract In future power systems, intermittent renewable generation sources are expected to have a considerable segment in the total generation assortment. Given the inconsistency and unpredictability of intermittent renewable energy sources, the fast growing integration of intermittent renewable generation could negatively affect the operations of power system. Since demand response (DR) is a flexible load shaping tool, it is viewed as a practicle solution to enhance the overall system efficiency in future smart grids. The overall objective of this dissertation is to evaluate the possible advantages of responsive domestic heating, ventilation, and air conditioning (HVAC) loads for DR applications and the development of practical frameworks to realize them. Due to its considerable share in energy consumption profile and operational flexibility, the DR treatment is restricted to the HVAC load. The DR applications include the minimization of customer energy cost and increased utilization of intermittent generation while taking into account customers' thermal comfort. The goal of this dissertation is divided into three major tasks so as to describe the DR benefits for various applications. A comprehensive assessment of HVAC DR potential for up/down ramping is suggested in the first task. The second task proposes generic frameworks for HVAC load management that are directed towards minimizing customer energy payments while taking customer's preferences into consideration. Finally, the last task establishes tools for increased utilization of wind generation by optimally managing the cyclic operation of responsive HVAC loads. To accomplish this dissertation objective, simulations are conducted using the proposed frameworks for Finnish systems. The following significant deductions are indicated in the results. The flexibility to unleash DR for up/down ramping is affected by the heat demand requirements, while upward DR is strongly limited by HVAC power ramping capability and allowed thermal comfort limits. Furthermore, utilization of DR will greatly shrink customer energy payments which mainly depends on the permissible indoor temperature deviation. The monetary savings are value added when DR is jointly activated in both energy and balancing market using the proposed model. Additionally, it is revealed that joint optimization of DR and RTTR will attain greater utilization of wind generation in distribution networks as weighed against DR activation alone. The developed models can be utilized by power system operators and stake holders to enhance the system operation. Consequently, the developed tools will help to achieve a better understanding of HVAC DR potential and advantages and will act as support to maximize the DR enrolment at the end user level. en
dc.format.extent 101 + app. 73
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 161/2016
dc.relation.haspart [Publication 1]: M. Ali, A. Safdarian, and M. Lehtonen, “Demand response potential of residential HVAC loads considering users preferences,” in IEEE PES Innovative Smart Grid Technologies Conference Europe, 12-15 Oct. 2014, Istanbul, Turkey. DOI: 10.1109/ISGTEurope.2014.7028883
dc.relation.haspart [Publication 2]: M. Ali, J. Jokisalo, K. Siren, and M. Lehtonen, “Combining the demand response of direct electric space heating and partial thermal storage using LP optimization,” Electric Power Systems Research, vol. 106, pp. 160-167, Jan. 2014. DOI: 10.1016/j.epsr.2013.08.017
dc.relation.haspart [Publication 3]: M. Ali, J. Jokisalo, K. Siren, A. Safdarian, and M. Lehtonen, “A user-centric demand response framework for residential heating, ventilation, and air-conditioning load management,” Electric Power Components and Systems, vol. 44, no. 1, pp. 99-109, Jan. 2016. DOI: 10.1080/15325008.2015.1101726
dc.relation.haspart [Publication 4]: M. Ali, A. Alahäivälä, F. Malik, M. Humayun, A. Safdarian, and M. Lehtonen, “A market-oriented hierarchical framework for residential demand response,” International Journal of Electrical Power and Energy Systems, vol. 69, pp. 257-263, Jan. 2015. DOI: 10.1016/j.ijepes.2015.01.020
dc.relation.haspart [Publication 5]: M. Ali, M. Humayun, A. Safdarian, M. Degefa, A. Alahäivälä, and M. Lehtonen, “A framework for activating residential HVAC demand response for wind generation balancing,” in IEEE PES Innovative Smart Grid Technologies Conference Asia, 4-6 Nov. 2015, Bangkok, Thailand. DOI: 10.1109/ISGT-Asia.2015.7387046
dc.relation.haspart [Publication 6]: M. Ali, M. Degefa, M. Humayun, A. Safdarian, and M. Lehtonen, “Increased utilization of wind generation by coordinating the demand response and realtime thermal rating,” IEEE Transactions on Power Systems, in press (accepted for publication), 2015. DOI: 10.1109/TPWRS.2015.2498899
dc.relation.haspart [Publication 7]: M. Ali, M. Humayun, M. Degefa, A. Safdarian, and M. Lehtonen, “Optimal DR services from HVAC load aggregator in distribution systems hosting wind generation,” in IEEE PES Innovative Smart Grid Technologies Conference Asia, 4-6 Nov. 2015, Bangkok, Thailand. DOI: 10.1109/ISGT-Asia.2015.7387045
dc.subject.other Electrical engineering en
dc.title Domestic Space Heating Load Management in Smart Grid - Potential Benefits and Realization en
dc.type G5 Artikkeliväitöskirja fi Sähkötekniikan korkeakoulu fi 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 demand response en
dc.subject.keyword HVAC en
dc.subject.keyword intermittent generation balancing en
dc.subject.keyword smart grids en
dc.identifier.urn URN:ISBN:978-952-60-6962-3
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Lehtonen, Matti, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.opn McCulloch, Malcolm, Assoc. Prof., University of Oxford, UK
dc.contributor.lab Power Systems and High Voltage Engineering en
dc.rev Tsiamitros, Dimitrios, Asst. Prof., TEI of Western Macedonia, Greece
dc.rev Palu, Ivo, Assoc. Prof., Tallinn University of Technology, Estonia 2016-10-26

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