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2017 | OriginalPaper | Buchkapitel

Towards a Taxonomy of Constraints in Demand-Side-Management-Methods for a Residential Context

verfasst von : Dennis Behrens, Thorsten Schoormann, Ralf Knackstedt

Erschienen in: Business Information Systems

Verlag: Springer International Publishing

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Abstract

To address current challenges in the management of energy grids, Demand-Side-Management (DSM) is one possibility. In this field various approaches exist but consider often different constraints regarding appliances. This paper aims at identifying these constraints through a triangulation: we conducted two literature reviews and several expert interviews simultaneously to derive a taxonomy of (DSM) load constraints. This taxonomy grows during the research process and contains at the end five constraints, a short description, examples of appliances for each constraint and a mathematical representation. This taxonomy can be used for future research, e.g. for designing, evaluating or benchmarking DSM-Methods.

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Vorheriges Kapitel A Smart Energy Platform for the Internet of Things – Motivation, Challenges, and Solution Proposal

Nächstes Kapitel Decomposition of Tasks in Business Process Outsourcing

United Nations: Millenium development goals and beyond (2015). http://www.un.org/millenniumgoals/bkgd.shtml. Accessed 30 Jan 2017

Barbato, A., Capone, A.: Optimization models and methods for demand-side management of residential users: a survey. Energies 2014 7(9), 5787–5824 (2014)

Feuerriegel, S., Bodenbenner, P., Neumann, D.: Value and granularity of ICT and smart meter data in demand response systems. Energ. Econ. 54, 1–10 (2016)CrossRef

Balijepalli, M.V.S.K., Pradhan, V., Khaparde, S.A., Shereef, R.M.: Review of demand response under smart grid paradigm. In: Proceedings of Innovative Smart Grid Technologies (2011)

Gellings, C.W., Chamberlin, J.H.: Demand-Side Management: Concepts and Methods. Prentice Hall, Englewood Cliffs (1987)

National Institute of Standards and Technology (NIST), U.S. Dep. of Com.: NIST Framework and Roadmap for Smart Grid Interoperability Standards. Special Publication (2010)

Wilkes, J., Moccia, J.: Wind in Power - 2010 European Statistics (2011)

Bassamzadeha, N., Ghanemb, R., Luc, S., Kazemitabard, S.J.: Robust scheduling of smart appliances with uncertain electricity prices in a heterogeneous population. Energ. Build. 84, 537–547 (2014)CrossRef

Stüdli, S., Crisostomi, E., Middleton, R., Braslavsky, J., Shorten, R.: distributed load management using additive increase multiplicative decrease based techniques. In: Rajakaruna, S., Shahnia, F., Ghosh, A. (eds.) Plug In Electric Vehicles in Smart Grids, pp. 173–202. Springer, Singapore (2015)

10.

Bashash, S., Fathy, H.K.: Modeling and control of aggregate air conditioning loads for robust renewable power management. Trans. Control Syst. 21, 1318–1327 (2013)CrossRef

11.

Costanza, E., Fischer, J.E., Colley, J.A., Rodden, T., Ramchurn, S.D., Jennings, N.R.: Doing the laundry with agents: a field trial of a future smart energy system in the home. In: Proceedings of ACM Conference on Human Factors in Computing Systems (2014)

12.

Beaude, O., Lasaulce, S., Hennebel, M.: Charging games in networks of electrical vehicles. In: Proceedings of Network Games, Control and Optimization (NetGCooP) (2012)

13.

Kwak, J., Varakantham, P., Maheswaran, R., Tambe, M., Jazizadeh, F., Kavulya, G., Klein, L., Becerik-Gerber, B., Hayes, T., Wood, W.: SAVES: a sustainable multiagent application to conserve building energy considering occupants. In: Proceedings of International Conference on Autonomous Agents and Multiagent Systems (2012)

14.

Serkan Özdemir, S., Unland, R.: A winner agent in a smart grid simulation platform. In: International Conference on Intelligent Agent Technology (IAT 2015) (2015)

15.

Gerwig, C., Behrens, D., Knackstedt, R., Lessing, H.: Demand side management in residential contexts – a literature review. In: Proceedings of the Informatik, Cottbus (2015)

16.

Al-Sumaiti, A.S., Ahmed, M.H., Salama, M.M.A.: Smart home activities: a literature review. Electr. Pow. Compo. Syst. 42, 294–305 (2014)CrossRef

17.

Gatsis, N., Giannakis, G.B.: Residential demand response with interruptible tasks: duality and algorithms. In: Conference on Decision and Control and European Control Conference (CDC-ECC) (2011)

18.

Bahrami, S., Parniani, M., Vafaeimehr, A.: A modified approach for residential load scheduling using smart meters. In: International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe) (2012)

19.

Kim, S.-J., Giannakis, G.B.: Scalable and robust demand response with mixed-integer constraints. Trans. Smart Grid 4(4), 2089–2099 (2013)CrossRef

20.

Yang, P., Chavali, P., Gilboa, E., Nehorai, A.: Parallel load schedule optimization with renewable distributed generators in smart grids. In: International Conference on Smart Grid Communications (SmartGridComm) (2012)

21.

Karmakar, G., Kabra, A., Ramamritham, K.: Coordinated scheduling of thermostatically controlled real-time systems under peak power constraint. In: Real-Time and Embedded Technology and Applications Symposium (RTAS) (2013)

22.

Mangiatordi, F., Pallotti, E., Vecchio, P.D., Leccese, F.: Power consumption scheduling for residential buildings. In: International Conference on Environment and Electrical Engineering (EEEIC) (2012)

23.

Thomas, A.G., Jahangiri, P., Wu, D., Cai, C., Zhao, H., Aliprantis, D.C., Tesfatsion, L.: Intelligent residential air-conditioning system with smart-grid functionality. IEEE Trans. Smart Grid 3(4), 2240–2251 (2012)CrossRef

24.

Chavali, P., Yang, P., Nehorai, A.: A distributed algorithm of appliance scheduling for home energy management system. Trans. Smart Grid 5, 282–290 (2014)CrossRef

25.

Li, N., Chen, L., Low, S.H.: Optimal demand response based on utility maximization in power networks. In: Proceedings of Power and Energy Society General Meeting (2011)

26.

Weckx, S., Driesen, J., D’hulst, R.: Distributed residential load control of binary behaving loads. In: PowerTech (POWERTECH) (2013)

27.

Rassaei, F., Soh, W.-S., Chua, K.-C.: Demand response for residential electric vehicles with random usage patterns in smart grids. Trans. Sustain. Energ. 6(4), 1367–1376 (2015)CrossRef

28.

Rao, M.R., Kuri, J., Prabhakar, T.V.: Towards optimal load management with day ahead pricing. In: Proceedings of the International Conference on Communication Systems and Networks (COMSNETS) (2015)

29.

Ozturk, X., Jha, P., Kumar, P., Lee, G.: A gateway sensor network architecture for home energy management. In: International Conference on Collaboration Technologies and Systems (CTS) (2013)

30.

Nickerson, R., Muntermann, J., Varshney, U.: Taxonomy development in information systems: a literature survey and problem statement. In: Proceedings of the 16th Americas Conference on Information Systems (AMCIS) (2010)

31.

vomBrocke, J., Simons, A., Niehaves, B., Reimer, K., Plattfaut, R., Cleven, A.: Re-constructing the giant: on the importance of rigour in documenting the literature search process. In: Proceedings of European Conference on Information Systems (ECIS) (2009)

32.

Behrens, D., Schoormann, T., Knackstedt, R.: Datensets für demand-side-management – literatur-review-Basierte analyse und Forschungsagenda. In: Mayr, H.C., Pinzger, M. (Hrsg.) INFORMATIK 2016, Klagenfurt, Austria (2016)

33.

Goudarzi, H., Hatami, S., Pedram, M.: Demand-side load scheduling incentivized by dynamic energy prices. In: Proceedings of the International Conference on Smart Grid Communications (SmartGridComm) (2011)

34.

Barbato, A., Capone, A., Carello, G., Delfanti, M., Merlo, M., Zaminga, A.: House energy demand optimization in single and multi-user scenarios. In: International Conference on Smart Grid Communications (SmartGridComm) (2011)

35.

Agnetis, A., de Pascale, G., Detti, P., Vicino, A.: Load scheduling for household energy consumption optimization. Trans. Smart Grid 4(4), 2364–2373 (2013)CrossRef

36.

Deng, R., Yang, Z., Chen, J., Chow, M.Y.: Load scheduling with price uncertainty and temporally-coupled constraints in smart grids. IEEE Trans. Power Syst. 29(6), 2823–2834 (2014)CrossRef

37.

Hatami, S., Pedram, M.: Minimizing the electricity bill of cooperative users under a quasi-dynamic pricing model. In: IEEE International Conference on Smart Grid Communications (SmartGridComm) (2010)

38.

Zhao, Z., Lee, W.C., Shin, Y., Song, K.B.: An optimal power scheduling method for demand response in home energy management system. IEEE Trans. Smart Grid 4(3), 1391–1400 (2013)CrossRef

39.

Chang, T.H., Alizadeh, M., Scaglione, A.: Real-time power balancing via decentralized coordinated home energy scheduling. IEEE Trans. Smart Grid 4(3), 1490–1504 (2013)CrossRef

40.

Mohesenian-Rad, A.-H., Wong, V.W.S., Jatskevich, J., Schober, R., Leon-Garcia, A.: Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid. IEEE Trans. Smart Grid 1(3), 320–331 (2010)CrossRef

41.

Mohesenian-Rad, A.-H., Wong, V.W.S., Jatskevich, J., Schober, R: Optimal and autonomous incentive-based energy consumption scheduling algorithm for smart grid. In: Proceedings of Innovative Smart Grid Technologies (ISGT) (2010)

42.

Zhao, W., Cooper, P., Perez, P., Ding, L.: Cost-driven residential energy management for adaption of smart grid and local power generation. In: Proceedings of the International Symposium of Next Generation Infrastructure (2013)

43.

Keerthisinghe, C., Verbic, G., Chapman, A.C.: Evaluation of a multi-stage stochastic optimization framework for energy management of residential PV-storage systems. In: Australasian Universities Power Engineering Conference (AUPEC) (2014)

44.

Castillo-Cagigal, M., Gutiérrez, A., Monasterio-Huelin, F., Caamaño-Martín, E., Masa, D., Jiménez-Leube, J.: A semi-distributed electric demand-side management system with PV generation for self-consumption enhancement. Energy Convers. Manage. 52(7), 2659–2666 (2011)CrossRef

45.

McNamara, P., McLoone, S.: Hierarchical demand response using Dantzig-Wolfe decomposition. In: Proceedings of Innovative Smart Grid Technologies Europe (ISGT EUROPE) (2013)

46.

Mohammad, F., Mehrdad, G.: Localized demand-side management in electric power systems. In: Iranian Conference on Smart Grids (ICSG) (2012)

47.

Verschae, R., Kato, T., Matsuyama, T.: A distributed coordination framework for on-line scheduling and power demand balancing of households communities. In: European Control Conference (ECC) (2014)

48.

Verschae, R., Kato, T., Matsuyama, T.: A distributed coordination framework for on-line scheduling and power demand balancing of households communities. In: European Control Conference (ECC)(2014)

49.

Song, L., Schaar, M.V.D.: Non-stationary demand side management method for smart grids. In: International Conference on Acoustics, Speech and Signal Processing (2014)

50.

Ashfaq, A., Yingyun, S., Khan, A.Z.: Optimization of economic dispatch problem integrated with stochastic demand side response. In: IEEE International Conference on Intelligent Energy and Power Systems (IEPS) (2014)

51.

Lunden, J., Werner, S., Koivunen, V.: Distributed demand-side management with load uncertainty. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2013)

52.

De Angelis, F., Boaro, M., Fuselli, D., Squartini, S., Piazza, F., Wei, Q., Wang, D.: Optimal task and energy scheduling in dynamic residential scenarios. In: 9th International Symposium on Neural Networks (2012)

53.

Soliman, H.M., Leon-Garcia, A.: Game-theoretic demand-side management with storage devices for the future smart grid. Trans. Smart Grid 5, 1475–1485 (2014)CrossRef

54.

Liu, P., Fu, Y.: Construction of multiband uncertainty set for building energy management with uncertain loads and solar power. In: PES General Meeting (2014)

55.

Miao, H., Huang, X., Chen, G.: A genetic evolutionary task scheduling method for energy efficiency in smart homes. Int. Rev. Electr. Eng. 7, 5897–5904 (2012)

56.

Kim, S-J., Giannakis, G.B.: Efficient and scalable demand response for the smart power grid. In: International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (2011)

57.

Ali, S.Q., Maqbool, S.D., Ahamed, T.P.I., Malik, N.H.: Pursuit algorithm for optimized load scheduling. In: Power Engineering and Optimization Conference (PEDCO) (2012)

58.

Lin, Y.-B.: Optimal threshold policy for in-home smart grid with renewable generation integration. Trans. Parallel Distrib. Syst. 26, 1096–1105 (2014)

59.

Huang, Y., Mao, S., Nelms, R.M.: Smooth electric power scheduling in power distribution networks. In: Globecom Workshops (GC Wkshps) (2012)

60.

Lee, J., Park, G.-L., Kim, H.-J.: Multithreaded power consumption scheduler based on a genetic algorithm. In: Kim, T., et al. (eds.) FGCN 2011. CCIS, vol. 265, pp. 47–52. Springer, Heidelberg (2011). doi:10.1007/978-3-642-27192-2_6 CrossRef

61.

Hu, T., Chu, X., Zhang, W., Liu, Y.: An optimal day-ahead dispatch strategy for deferrable loads. In: International Conference on Power System Technology (POWERCON) (2014)

62.

Zang, C., Qin, X., Li, X., Jin, X., Che, W.: Simulated annealing based fuzzy Markov game energy management for smart grids. In: Control and Decision Conference (CCDC) (2013)

63.

Lee, J., Park, G.-L.: Power load distribution for wireless sensor and actuator networks in smart grid buildings. Int. J. Distrib. Sens. Netw. 9(1) (2013)

64.

Bu, H., Nygard, K.E.: Adaptive scheduling of smart home appliances using fuzzy goal programming. In: The Sixth International Conference on Adaptive and Self-Adaptive Systems and Applications (ADAPTIVE) (2014)

65.

Maqbool, S.D., Ahamed, T.P.I., Ali, S.Q., Pazheri, F.R., Malik, N.H.: Comparison of pursuit and ε-Greedy algorithm for load scheduling under real time pricing. In: International Conference on Power and Energy (PECon) (2012)

66.

Alam, M.R., St-Hilaire, M., Kunz, T.: Cost optimization via rescheduling in smart grids – a linear programming approach. In: International Conference on Smart Energy Grid Engineering (SEGE) (2013)

67.

Ali, S.Q., Maqbool, S.D., Ahamed, T.P.I., Malik, N.H.: Load scheduling with maximum demand and time of use pricing for microgrids. In: Global Humanitarian Technology Conference: South Asia Satellite (GHTC-SAS) (2013)

68.

Alvarez, C., Malhame, R.P., Gabaldon, A.: A class of models for load management application and evaluation revisited. Trans. Power Syst. 7, 1435–1443 (1992)CrossRef

69.

Behrens, D., Gerwig, C.: Selbstregulierende Verbraucher im Smart Grid: Design einer Infrastruktur mit Hilfe eines Multi-Agenten-Systems. In: Proceedings of Multikonferenz der Wirtschaftsinformatik (MKWI), Paderborn, Germany (2014)

Titel: Towards a Taxonomy of Constraints in Demand-Side-Management-Methods for a Residential Context
verfasst von: Dennis Behrens
Thorsten Schoormann
Ralf Knackstedt
Verlag: Springer International Publishing
Buch: Business Information Systems
Print ISBN: 978-3-319-59335-7

Electronic ISBN: 978-3-319-59336-4

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-59336-4_20

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