برنامه ریزی بهینه باتری ها در شبکه توزیع با در نظر گرفتن شارژ خودروهای برقی

نویسندگان

دانشگاه صنعتی خواجه نصیرالدین طوسی

چکیده

در این مقاله یک برنامه ریزی بهینه برای شارژ/دشارژ باتری های ثابت مرکزی در شبکه توزیع ارائه شده است. این باتری ها نه تنها برای پیک سایی، بلکه برای کاهش انرژی تأمین نشده نیز به کار می روند. همچنین تأثیر شارژ خودروهای برقی بر برنامه ریزی بهینه در نظر گرفته شده است. با استفاده از روشی احتمالاتی مبتنی بر شبیه سازی مونت کارلو، خودروها به صورت بارهای مصرفی مدلسازی می شوند و منحنی بار آنها با استفاده از مقادیر ارزش انتظاری استخراج می گردد. آنگاه برنامه ریزی بهینه باتری های ثابت در شبکه توزیع، با در نظر گرفتن منحنی بار خودروها، با استفاده از یک الگوریتم جستجوی ممنوع انجام می گیرد. برای نشان دادن تأثیر خودروها بر برنامه ریزی بهینه، مطالعات عددی بر روی یک شبکه توزیع نمونه با در نظر گرفتن ضریب های نفوذ مختلف خودروها انجام می شود. در این حالت، مشخصات شبکه توزیع و مکان باتری های ثابت نیز بر برنامه ریزی بهینه باتری ها تأثیرگذار است.

کلیدواژه‌ها


عنوان مقاله [English]

Optimal Storage Scheduling in a Distribution Network Considering Charging of Plug-in Electric Vehicles

نویسندگان [English]

  • Mahdi Sedghi
  • Ehsan Pashajavid
  • Masoud Aliakbar-Golkar
K. N. Toosi University of Technology
چکیده [English]

This paper proposes an optimal scheduling for charge/discharge of centralized storage units within a distribution network. The storage units are used not only for peak cutting but also for decreasing energy not supplied due to failure events. The impact of plug-in electric vehicles (PEVs) charging on the optimal scheduling is taken into account as well. PEVs load demand is modeled using a stochastic approach based on the Monte Carlo simulation. Then, a Tabu search algorithm is utilized in order to fulfill the optimal scheduling of battery energy storages considering the extracted load demand of PEVs. Numerical studies on a typical distribution network show the impacts of various penetration levels of PEVs on the optimal scheduling issue. It should be mentioned that characteristics of the distribution network as well as the location of the stationary batteries affect the optimal scheduling.

کلیدواژه‌ها [English]

  • Distribution Network
  • Plug-in Electric Vehicle
  • Storage optimization

[1]   Mercier P., Cherkaoui R. and Oudalov A., "Optimizing a battery energy storage system for frequency control application in an isolated power system", IEEE Trans. on Power Systems., Vol. 24, pp. 1469–1477, 2009. 

[2]   Bhatia RS., Jain SP., Jain DK. and Singh B., "Battery energy storage system for power conditioning of renewable energy sources", Int. Conf. on Power Electronics and Drives Systems, pp. 501–506, 2005.

[3]   Wang XY., Vilathgamuwa DM. and Choi SS., "Buffer scheme with battery energy storage capability for enhancement of network transient stability and load ride-through", Journal of Power Sources, Vol. 179, pp. 819–829, 2008.

[4]   Bhatia RS., Jain SP., Jain DK. and Singh B., "Battery energy storage system for power conditioning of renewable energy sources", Int. Conf. on Power Electronics and Drives Systems, pp. 501–506, 2005.

[5]   Barrado JA., Gri nَ R. and Valderrama-Blavi H., "Power-quality improvement of a stand-alone induction generator using a STATCOM with battery energy storage system", IEEE Trans. on Power Delivery, Vol. 25, pp. 2734–2741, 2010.

[6]   H. Sugihara, K. Yokoyama, O. Saeki, K. Tsuji and T. Funaki, "Economic and efficient voltage management using customer-owned energy storage systems in a distribution network with high penetration of photovoltaic systems", IEEE Trans. on Power Systems, Vol. 28, pp. 102–111, 2012.

[7]   Hida Y., Yokoyama R., Shimizukawa J., Iba K., Tanaka K. and Seki T., "Load following operation of NAS battery by setting statistic margins to avoid risks", IEEE Power and Energy Society General Meeting, 2010.

[8]   Lee T-Y., "Operating schedule of battery energy storage system in a time-of-use rate industrial user with wind turbine generators: a multipass iteration particle swarm optimization approach", IEEE Trans. on Energy Conversion, Vol. 22, pp.774–782, 2007.

[9]   Dufo-Lَpez R., Bernal-Agustin JL. and Dominguez-Navarro JA., "Generation management using batteries in wind farms: economical and technical analysis for Spain", Energy Policy, Vol. 37, pp. 126–139, 2009.

[10]  S. Grillo, M. Marinelli, S. Massucco and F. Silvestro, "Optimal management strategy of a battery-based storage system to improve renewable energy integration in distribution networks", IEEE Trans. on Smart Grid, Vol. 3, pp. 950–958, 2012.

[11]  Hu W., Chen Z. and Bak-Jensen B., "Optimal operation strategy of battery energy storage system to real-time electricity price in Denmark", IEEE Power and Energy Society General Meeting, 2010.

[12]  Lee D-J. and Wang L., "Small-signal stability analysis of an autonomous hybrid renewable energy power generation/energy storage system part I: time-domain simulations", IEEE Trans. on Energy Conversion,Vol. 23, pp. 311–320, 2008.

[13]  Parker CD., "Lead-acid battery energy-storage systems for electricity supply networks", Journal of Power Sources, Vol. 100, pp. 18–28, 2001.

[14]  S. Teleke, ME. Baran, S. Bhattacharya and AQ. Huang, "Rule-based control of battery energy storage for dispatching intermittent renewable sources", IEEE Trans. on Sustainable Energy, Vol. 1, pp. 117–124, 2010.

[15]  Q. Li, SS. Choi, Y. Yuan and DL. Yao, "On the determination of battery energy storage capacity and short-term power dispatch of a wind farm", IEEE Trans. on Sustainable Enrgy, Vol. 2, pp. 148–158, 2011.

[16]  DL. Yao, SS. Choi, KJ. Tseng and TT. Lie, "Determination of short-term power dispatch schedule for a wind farm incorporated with dual-battery energy storage scheme", IEEE Trans. on Sustianable Energy, Vol. 3, pp. 74–84, 2012.

[17]  S. Teleke, ME. Baran, AQ. Huang, S. Bhattacharya and L. Anderson, "Control strategies for battery energy storage for wind farm dispatching", IEEE Trans. on Energy Conversion, Vol. 24, pp. 725-732, 2009.

[18]  S. Teleke, ME. Baran, S. Bhattacharya and AQ. Huang, "Rule-based control of battery energy storage for dispatching intermittent renewable sources", IEEE Trans. on Sustainable Energy, Vol. 1, pp. 117–124, 2010.

[19]  C. Chen, S. Duan, T. Cai, B. Liu and G. Hu, "Smart energy management system for optimal microgrid economic operation", IET Renew. Power Gener., Vol. 5, pp. 258–267, 2011.

[20]  T. Niknam, F. Golestaneh and A. Malekpour, "Probabilistic energy and operation management of a microgrid containing wind/photovoltaic/fuel cell generation and energy storage devices based on point estimate method and self-adaptive gravitational search algorithm", Energy, Vol. 43, pp. 427–437, 2012.

[21]  S. Grillo, M. Marinelli, S. Massucco and F. Silvestro, "Optimal management strategy of a battery-based storage system to improve renewable energy integration in distribution networks", IEEE Trans. on Smart Grid, Vol. 3, pp. 950–958, 2012.

[22]  W. Su, H. Rahimi Eichi, W. Zeng and M. Chow, "A survey on the electrification of transportation in a smart grid environment", IEEE Trans. on Industrial Informatics, Vol. 8, pp. 1–10, 2012.

[23]  MA. Golkar and E. Pashajavid, "Analytical assessment of mutual impacts between PHEVs and power grid", 21st Int. Conf. on Electricity Distribution (CIRED), Frankfurt, 6–9 June 2011.

[24]  AY. Saber and G.K. Venayagamoorthy, "One million plug-in electric vehicles on the road by 2015", Proceeding of the 12th International Conf. on Intelligent Transportation Systems, 2009, pp. 141–147.

[25]  JR. Pillai and B. Bak-Jensen, "Integration of vehicle-to-grid in the western Danish power system", IEEE Trans. on Sustainable Energy, Vol. 2, No. 1, pp. 1949–3029, Sep. 2010.

[26]  H. Falaghi, C. Singh, MR. Haghifam and M. Ramezani, "DG integrated multistage distribution system expansion planning", Electrical Power and Energy Systems, Vol. 33, pp. 1489–1497, 2011.

[27]  M. Sedghi, M. Aliakbar-Golkar and MR. Haghifam, "Distribution network expansion considering distributed generation and storage units using modified PSO algorithm", Electrical Power and Energy Systems, Vol. 52, pp. 221–230, 2013.

[28]  R. Kollu1, SR. Rayapudi1, SVL. Narasimham and KM. Pakkurthi, "Mixture probability distribution functions to model wind speed distributions", International Journal of Energy and Environmental Engineering, Vol. 3, pp. 1–10, 2012.   

[29]  EK. Burke and G. Kendall, "Search methodologies: introductory tutorials in optimization and decision support techniques", New York: Springer-Verlag, 2005.

[30]  JF. Gomez, HM. Khodr, PM. De Oliveira, L. Ocque, JM. Yusta, R. Villasana and AJ. Urdaneta, "Ant colony system algorithm for the planning of primary distribution circuits", IEEE Trans. on Power Systems, Vol. 19, pp. 996–1004, 2004.

[31]  E. Naderi, I. Kiaei and MR. Haghifam, "NaS technology allocation for improving reliability of DG-enhanced distribution networks", IEEE 11th Int. Conf. on Probabilisstic Methods Applied to Power Systems (PMAPS), Singapore, pp. 14–17 June, 2010.

[32]  R. Billinton and RN. Allan, "Reliability evaluation of power systems", New York and London: Plenum Press, 1996.