Green Energy Scheduling for Demand Side Management in the Smart Grid

IEEE Transactions on Green Communications and Networking

Volumn 2, Issue 2, 2018, Pages 596-611

  Wang, Kun ^a,b   Li, Huining ^a   Maharjan, Sabita ^c   Zhang, Yan ^c,d   Guo, Song ^e  

^a NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c SIMULA RESEARCH LABORATORY   (Norway)

^d UNIVERSITY OF OSLO   (Norway)

^e HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

Demand side management; energy management; energy scheduling; game theory; green; smart gird

Indexed keywords

COGNITIVE RADIO; COST FUNCTIONS; COSTS; DEMAND SIDE MANAGEMENT; DOMESTIC APPLIANCES; ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC UTILITIES; ENERGY MANAGEMENT; ENERGY STORAGE; ENERGY UTILIZATION; GAME THEORY; PLANNING; SCHEDULING; STORAGE MANAGEMENT;

GAMES; GREEN; PEAK TO AVERAGE POWER RATIO; SMART GIRDS; SMART GRID;

SMART POWER GRIDS;

EID: 85055778117     PISSN: None     EISSN: 24732400     Source Type: Journal    
DOI: 10.1109/TGCN.2018.2797533     Document Type: Article

References (53)

1. S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing, and T. Basar, "Dependable demand response management in the smart grid: A Stackelberg game approach," IEEE Trans. Smart Grid, vol. 4, no. 1, pp. 120-132, Mar. 2013.
2. K. Wang et al., "Wireless big data computing in smart grid," IEEE Wireless Commun., vol. 24, no. 2, pp. 58-64, Apr. 2017.
3. X. Fang, S. Misra, G. Xue, and D. Yang, "Smart grid - The new and improved power grid: A survey," IEEE Commun. Surveys Tuts., vol. 14, no. 4, pp. 944-980, 4th Quart., 2012.
4. K. Wang, H. Li, Y. Feng, and G. Tian, "Big data analytics for system stability evaluation strategy in the energy Internet," IEEE Trans. Ind. Informat., vol. 13, no. 4, pp. 1969-1978, Aug. 2017.
5. Y. Zhang et al., "Home M2M networks: Architectures, standards, and QoS improvement," IEEE Commun. Mag., vol. 49, no. 4, pp. 44-52, Apr. 2011.
6. M. Gao, K. Wang, and L. He, "Probabilistic model checking and scheduling implementation of energy router system in energy Internet for green cities," IEEE Trans. Ind. Informat., to be published.
7. K. Wang et al., "A survey on energy Internet: Architecture, approach, and emerging technologies," IEEE Syst. J., to be published.
8. Y. Yan, Y. Qian, H. Sharif, and D. Tipper, "A survey on smart grid communication infrastructures: Motivations, requirements and challenges," IEEE Commun. Surveys Tuts., vol. 15, no. 1, pp. 5-20, 1st Quart., 2013.
9. K. Wang et al., "A survey on energy Internet communications for sustainability," IEEE Trans. Sustain. Comput., vol. 2, no. 3, pp. 231-254, May 2017.
10. Y. Zhang et al., "Cognitive machine-to-machine communications: Visions and potentials for the smart grid," IEEE Netw. Mag., vol. 26, no. 3, pp. 6-13, May/Jun. 2012.
11. K. Wang et al., "Distributed energy management for vehicle-to-grid networks," IEEE Netw., vol. 31, no. 2, pp. 22-28, Mar. 2017.
12. M. A. A. Pedrasa, T. D. Spooner, and I. F. MacGill, "Coordinated scheduling of residential distributed energy resources to optimize smart home energy services," IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 134-143, Sep. 2010.
13. W. Saad, Z. Han, H. V. Poor, and T. Basar, "Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications," IEEE Signal Process. Mag., vol. 29, no. 5, pp. 86-105, Sep. 2012.
14. K. Wang, Z. Ouyang, R. Krishnan, L. Shu, and L. He, "A game theorybased energy management system using price elasticity for smart grids," IEEE Trans. Ind. Informat., vol. 11, no. 6, pp. 1607-1616, Dec. 2015.
15. H. M. Soliman and A. Leon-Garcia, "Game-theoretic demand-side management with storage devices for the future smart grid," IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1475-1485, May 2014.
16. K. Wang, C. Xu, Y. Zhang, S. Guo, and A. Zomaya, "Robust big data analytics for electricity price forecasting in the smart grid," IEEE Trans. Big Data, to be published.
17. S. Maharjan, Y. Zhang, S. Gjessing, and D. H. K. Tsang, "User-centric demand response management in the smart grid with multiple providers," IEEE Trans. Emerg. Topics Comput., vol. 5, no. 4, pp. 494-505, Oct./Dec. 2017.
18. I. Atzeni, L. G. Ordoñez, G. Scutari, D. P. Palomar, and J. R. Fonollosa, "Demand-side management via distributed energy generation and storage optimization," IEEE Trans. Smart Grid, vol. 4, no. 2, pp. 866-876, Jun. 2013.
19. I. Atzeni, L. G. Ordonez, G. Scutari, D. P. Palomar, and J. R. Fonollosa, "Noncooperative and cooperative optimization of distributed energy generation and storage in the demand-side of the smart grid," IEEE Trans. Signal Process., vol. 61, no. 10, pp. 2454-2472, May 2013.
20. S. Belhaiza and U. Baroudi, "A game theoretic model for smart grids demand management," IEEE Trans. Smart Grid, vol. 6, no. 3, pp. 1386-1393, May 2015.
21. L. Song, Y. Xiao, and M. van der Schaar, "Demand side management in smart grids using a repeated game framework," IEEE J. Sel. Areas Commun., vol. 32, no. 7, pp. 1412-1424, Jul. 2014.
22. A. Mohsenian-Rad and A. Leon-Garcia, "Optimal residential load control with price prediction in real-time electricity pricing environments," IEEE Trans. Smart Grid, vol. 1, no. 2, pp. 120-133, Sep. 2010.
23. R. Deng, Z. Yang, J. Chen, N. R. Asr, and M.-Y. Chow, "Residential energy consumption scheduling: A coupled-constraint game approach," IEEE Trans. Smart Grid, vol. 5, no. 3, pp. 1340-1350, May 2014.
24. T. Logenthiran, D. Srinivasan, and T. Z. Shun, "Demand side management in smart grid using heuristic optimization," IEEE Trans. Smart Grid, vol. 3, no. 3, pp. 1244-1252, Sep. 2012.
25. E. Hamid, P. Nallagownden, N. B. M. Nor, and M. A. L. Muthuvalu, "Intelligent demand side management technique for industrial consumer," in Proc. Int. Conf. Intell. Adv. Syst. (ICIAS), Kuala Lumpur, Malaysia, 2014, pp. 1-6.
26. E. H. Et-Tolba, M. Maaroufi, and M. Ouassaid, "Demand side management algorithms and modeling in smart grids: A customer's behavior based study," in Proc. Int. Renew. Sustain. Energy Conf. (IRSEC), Ouarzazate, Morocco, 2013, pp. 531-536.
27. Y. Liu et al., "Peak-to-average ratio constrained demand-side management with consumer's preference in residential smart grid," IEEE J. Sel. Topics Signal Process., vol. 8, no. 6, pp. 1084-1097, Dec. 2014.
28. E. Veldman and R. A. Verzijlbergh, "Distribution grid impacts of smart electric vehicle charging from different perspectives," IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 333-342, Jan. 2015.
29. J. Taneja, "Growth in renewable generation and its effect on demand-side management," in Proc. IEEE Int. Conf. Smart Grid Commun., Venice, Italy, 2014, pp. 614-619.
30. H. Ghazzai and A. Kadri, "Joint demand-side management in smart grid for green collaborative mobile operators under dynamic pricing and fairness setup," IEEE Trans. Green Commun. Netw., vol. 1, no. 1, pp. 74-88, Mar. 2017.
31. P. D. Diamantoulakis, K. N. Pappi, P.-Y. Kong, and G. K. Karagiannidis, "Game theoretic approach to demand side management in smart grid with user-dependent acceptance prices," in Proc. IEEE 84th Veh. Technol. Conf. (VTC-Fall), Montreal, QC, Canada, pp. 1-5, 2016.
32. J. Zazo, S. Zazo, and S. V. Macua, "Robust worst-case analysis of demand-side management in smart grids," IEEE Trans. Smart Grid, vol. 8, no. 2, pp. 662-673, Mar. 2017.
33. P. Wang, J. Ma, and L. Song, "Balanced interest distribution in smart grid: A Nash bargaining demand side management scheme," in Proc. IEEE Glob. Commun. Conf. (GLOBECOM), Washington, DC, USA, 2016, pp. 1-6.
34. F. Ye, Y. Qian, and R. Q. Hu, "A real-time information based demandside management system in smart grid," IEEE Trans. Parallel Distrib. Syst., vol. 27, no. 2, pp. 329-339, Feb. 2016.
35. I. Gupta, G. N. Anandini, and M. Gupta, "An hour wise device scheduling approach for demand side management in smart grid using particle swarm optimization," in Proc. Nat. Power Syst. Conf. (NPSC), Bhubaneswar, India, 2016, pp. 1-6.
36. C. Li, X. Yu, W. Yu, G. Chen, and J. Wang, "Efficient computation for sparse load shifting in demand side management," IEEE Trans. Smart Grid, vol. 8, no. 1, pp. 250-261, Jan. 2017.
37. K. Wang, M. Du, S. Maharjan, and Y. Sun, "Strategic honeypot game model for distributed denial of service attacks in the smart grid," IEEE Trans. Smart Grid, vol. 8, no. 5, pp. 2474-2482, Sep. 2017.
38. A.-H. Mohsenian-Rad, V. W. S. Wong, J. Jatskevich, R. Schober, and A. Leon-Garcia, "Autonomous demand-side management based on game-theoretic energy consumption scheduling for the future smart grid," IEEE Trans. Smart Grid, vol. 1, no. 3, pp. 320-331, Dec. 2010.
39. I. Atzeni, L. G. Ordonez, G. Scutari, D. P. Palomar, and J. R. Fonollosa, "Noncooperative day-ahead bidding strategies for demand-side expected cost minimization with real-time adjustments: A GNEP approach," IEEE Trans. Signal Process., vol. 62, no. 9, pp. 2397-2412, May 2014.
40. P. Yang, G. Tang, and A. Nehorai, "A game-theoretic approach for optimal time-of-use electricity pricing," IEEE Trans. Power Syst., vol. 28, no. 2, pp. 884-892, May 2013.
41. M. Rasoul, H. Abdi, S. Rezaei, and H. Rahimzadeh, "Demand side management and charging and discharging for multiple PHEVs to reduce cost and reduce fossil fuel using game theory in smart grid," in Proc. IEEE 15th Int. Conf. Environ. Elect. Eng. (EEEIC), Rome, Italy, 2015, pp. 128-132.
42. N. Forouzandehmehr, M. Esmalifalak, H. Mohsenian-Rad, and H. Zhu, "Autonomous demand response using stochastic differential games," IEEE Trans. Smart Grid, vol. 6, no. 1, pp. 291-300, Jan. 2015.
43. S. Bu and F. R. Yu, "A game-theoretical scheme in the smart grid with demand-side management: Towards a smart cyber-physical power infrastructure," IEEE Trans. Emerg. Topics Comput., vol. 1, no. 1, pp. 22-32, Jun. 2013.
44. S. Maharjan, Q. Zhu, Y. Zhang, S. Gjessing, and T. Başar, "Demand response management in the smart grid in a large population regime," IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 189-199, Jan. 2016.
45. F. Aminifar, C. Lucas, A. Khodaei, and M. Fotuhi-Firuzabad, "Optimal placement of phasor measurement units using immunity genetic algorithm," IEEE Trans. Power Del., vol. 24, no. 3, pp. 1014-1020, Jul. 2009.
46. S. Mousavian and M. J. Feizollahi, "An investment decision model for the optimal placement of phasor measurement units," Expert Syst. Appl., vol. 42, no. 21, pp. 7276-7284, Nov. 2015.
47. S. Gerbex, R. Cherkaoui, and A. J. Germond, "Optimal location of multi-type FACTS devices in a power system by means of genetic algorithms," IEEE Trans. Power Syst., vol. 16, no. 3, pp. 537-544, Aug. 2001.
48. X.-M. Hu et al., "Multiobjective genetic algorithm for demand side management of smart grid," in Proc. IEEE Symp. Comput. Intell. Sched. (CISched), Singapore, 2013, pp. 14-21.
49. M. Awais et al., "An efficient genetic algorithm based demand side management scheme for smart grid," in Proc. 18th Int. Conf. Netw. Inf. Syst., Taipei, Taiwan, 2015, pp. 351-356.
50. G. Carpinelli et al., "Optimal integration of distributed energy storage devices in smart grids," IEEE Trans. Smart Grid, vol. 4, no. 2, pp. 985-995, Jun. 2013.
51. G. Celli, S. Mocci, F. Pilo, and M. Loddo, "Optimal integration of energy storage in distribution networks," in Proc. IEEE PowerTech, Bucharest, Romania, 2009, pp. 1-7.
52. R. Johansson and A. Rantzer, Distributed Decision-Making and Control, vol. 417. London, U.K.: Springer, 2011.
53. C. Mi, L. Ben, D. Buck, and N. Ota, "Advanced electro-thermal modeling of lithium-ion battery system for hybrid electric vehicle applications," in Proc. IEEE Veh. Power Propulsion Conf. (VPPC), Arlington, TX, USA, 2007, pp. 107-111.