Weitere Kapitel dieses Buchs durch Wischen aufrufen
In this chapter, we move away from the smart-grid demand-side management topic to another important one of micro grids. Even though a significant progress has been achieved in the development of the micro grids, the power loss minimization between the micro grids and also between the macro station and an individual micro grid is still receiving much attention. Niyato and Wang  considered an algorithm aimed to optimize the transmission strategy in order to minimize the total cost including the power loss. The power losses minimization in the energy distribution networks has conventionally been investigated using a single and deterministic demand level. A novel algorithm to overcome this problem was designed in . The “cost-aware smart micro grid network design” in  allows economic power transactions within the smart grid with manageable power losses. Meliopoulos et al.  also discussed power loss minimization issues by proposing a coordinated control scheme at real-time with the inclusion of distributed generation resources (micro grids) with the existing grid. A novel load management solution to coordinate the charging of multiple PHEVs in a smart grid system was considered in  which also considered the power loss problem. An efficient optimal reconfiguration algorithm for power loss minimization was studied in . Costabeber et al.  demonstrated that the power loss reduction is viable without central controllers by exploiting local measurement, communication, and control capability in the micro grids. Saad et al.  used cooperative game theory to formulate novel cooperative strategies between the micro grids of an energy distribution network aimed to reduce the power loss. Also, Costabeber et al.  and Tenti et al.  discussed cooperative operation of neighboring power processing units to reduce distribution losses. Corso et al.  addressed the daily schedule of distributed generators to minimize power loss in a micro grid connected to the main grid. A more detailed methodology to develop an autonomous micro grid for coping with power loss can be found in . Also, a heuristic-based greedy algorithm was proposed in  to reduce the power loss. A review of technologies, methodologies, and operational approaches for improving the efficiency of power distribution systems like micro grids can be accessed in . The “autonomous regional active network management system” project aimed to design a distribution network power loss management algorithm in . The tie-set graph theory and its application to smart grid networks was introduced to minimize the power loss in . Power loss of the energy distribution networks was also considered in [17–21].
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
D. Niyato and P. Wang, “Cooperative transmission for meter data collection in smart grid,” IEEE Communications Magazine, vol. 50, no. 4, pp. 90–97, Apr. 2012.
L. Ochoa and G. Harrison, “Minimizing energy losses: Optimal accommodation and smart operation of renewable distributed generation,” IEEE Transactions on Power Systems, vol. 26, no. 1, pp. 198–205, Feb. 2011.
M. Erol-Kantarci, B. Kantarci, and H. Mouftah, “Cost-aware smart microgrid network design for a sustainable smart grid,” in 2011 IEEE GLOBECOM Workshops (GC Wkshps), Dec. 2011, pp. 1178–1182.
S. Meliopoulos, G. Cokkinides, R. Huang, E. Farantatos, S. Choi, Y. Lee, and X. Yu, “Smart grid infrastructure for distribution systems and applications,” in 2011 44th Hawaii International Conference on System Sciences (HICSS), Kauai, Hawaii, Jan. 2011, pp. 1–11.
S. Deilami, A. Masoum, P. Moses, and M. Masoum, “Real-time coordination of plug-in electric vehicle charging in smart grids to minimize power losses and improve voltage profile,” IEEE Transactions on Smart Grid, vol. 2, no. 3, pp. 456–467, Sep. 2011.
A. Vargas and M. Samper, “Real-time monitoring and economic dispatch of smart distribution grids: High performance algorithms for DMS applications,” IEEE Transactions on Smart Grid, vol. 3, no. 2, pp. 866–877, Jun. 2012.
A. Costabeber, T. Erseghe, P. Tenti, S. Tomasin, and P. Mattavelli, “Optimization of micro-grid operation by dynamic grid mapping and token ring control,” in Proceedings of the 2011-14th European Conference on Power Electronics and Applications (EPE 2011), Birmingham, UK, Aug. 2011, pp. 1–10.
W. Saad, Z. Han, and H. Poor, “Coalitional game theory for cooperative micro-grid distribution networks,” in 2011 IEEE International Conference on Communications (ICC) Workshops, Seattle, Washington, USA, Jun. 2011, pp. 1–5.
A. Costabeber, P. Tenti, and P. Mattavelli, “Surround control of distributed energy resources in micro-grids,” in 2010 IEEE International Conference on Sustainable Energy Technologies (ICSET), Kandy, Sri Lanka, Dec. 2010, pp. 1–6.
P. Tenti, A. Costabeber, D. Trombetti, and P. Mattavelli, “Plug amp; play operation of distributed energy resources in micro-grids,” in 32nd International Telecommunications Energy Conference (INTELEC), Orlando, Florida, USA, Jun. 2010, pp. 1–6.
G. Corso, M. Di Silvestre, M. Ippolito, E. Sanseverino, and G. Zizzo, “Multi-objective long term optimal dispatch of distributed energy resources in micro-grids,” in 2010 45 th International Universities Power Engineering Conference (UPEC), Cardiff, United Kingdom, Aug. 2010.
M. Kirthiga, S. Daniel, and S. Gurunathan, “A methodology for transforming an existing distribution network into a sustainable autonomous micro-grid,” IEEE Transactions on Sustainable Energy, vol. 4, no. 1, pp. 31–41, Jan. 2013.
Z. Li, C. Wu, J. Chen, Y. Shi, J. Xiong, and A. Wang, “Power distribution network reconfiguration for bounded transient power loss,” in 2012 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Tianjin, China, May 2012, pp. 1–5.
J. Aguero, “Improving the efficiency of power distribution systems through technical and non-technical losses reduction,” in Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES, Dallas, Texas, USA, May 2012, pp. 1–8.
L. McDonald, R. Storry, A. Kane, F. McNicol, G. Ault, I. Kockar, S. McArthur, E. Davidson, and M. Dolan, “Minimisation of distribution network real power losses using a smart grid active network management system,” in 2010 45 th International Universities Power Engineering Conference (UPEC), Cardiff, United Kingdom, Aug. 2010.
K. Nakayama and N. Shinomiya, “Distributed control based on tie-set graph theory for smart grid networks,” in 2010 International Congress on Ultra Modern Telecommunications (ICUMT) and Control Systems and Workshops, Moscow, Russia, Oct. 2010, pp. 957–964.
T.-I. Choi and Y.-K. Cho, “International business offering related to innovative smart technologies,” in 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), Washington D.C., USA, Jan. 2012, pp. 1–8.
M. Ismail, M.-Y. Chen, and X. Li, “Optimal planning for power distribution network with distributed generation in Zanzibar island,” in 2011 International Conference on Electrical and Control Engineering (ICECE), Yichang, China, Sep. 2011, pp. 266–269.
N. Katie, V. Marijanovic, and I. Stefani, “Profitability of smart grid solution application in distribution network,” in 7th Mediterranean Conference and Exhibition on Power Generation, Transmission, Distribution and Energy Conversion (MedPower 2010), Agia Napa, Cyprus, Nov. 2010, pp. 1–6.
Z. M. Fadlullah, Y. Nozaki, A. Takeuchi, and N. Kato, “A survey of game theoretic approaches in smart grid,” in 2011 International Conference on Wireless Communications and Signal Processing (WCSP), Nanjing, Jiangsu, China, Nov. 2011, pp. 1–4.
C. Zhang, W. Wu, H. Huang, and H. Yu, “Fair energy resource allocation by minority game algorithm for smart buildings,” in Design, Automation Test in Europe Conference Exhibition (DATE), 2012, Dresden, Germany, Mar. 2012, pp. 63–68.
H. Li and W. Zhang, “QoS routing in smart grid,” in 2010 IEEE Global Communications Conference (GLOBECOM 2010), Miami, Florida, USA, Dec. 2010.
C. Wei, Z. M. Fadlullah, N. Kato, and A. Takeuchi, “GT-CFS: a game theoretic coalition formulation strategy for reducing power loss in micro grids,” IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 9, pp. 2307–2317, Sep. 2014.
K. R. Apt and A. Witzel, “A generic approach to coalition formation,” Computing Research Repository - CoRR, vol. abs/0709.0435, 2007. [Online]. Available: http://arxiv.org/abs/0709.0435
J. Machowski, J. W. Bialek, and J. R. Bumby, Power system dynamics: stability and control. Chichester, U.K. Wiley, 2008, rev. ed. of: Power system dynamics and stability / Jan Machowski, Janusz W. Bialek, James R. Bumby. 1997. [Online]. Available: http://opac.inria.fr/record=b1135564
- Game-Theoretic Coalition Formulation Strategy for Reducing Power Loss in Micro Grids
Zubair Md. Fadlullah
- Chapter 5
Neuer Inhalt/© ITandMEDIA