Simulation based Energy and Cost Optimization for Home Users in a Community Smart Grid

MD MAMUN UR RASHID, M. MEHEDI HASAN

Abstract


Smart grid is the future electrical power grid with cutting-edge features and two-way flow of electricity and communication. One of the main challenges of the future self-sustainable smart grid is the integration of wireless technologies. Wireless communication technologies play a key role in the future power grid due to real time pricing, monitoring instant power consumption, meeting extra power demand, enabling smart battery status, routing power sharing message etc. The main goal of this research is designing, modeling and simulating a smart grid architecture by utilizing renewable energy sources (wind and solar) and wireless technologies. One reference and a novel proposed, single line future smart grid (SLSG), scenario of smart grid has been designed and evaluated. The states of the proposed scenario are off-peak smart grid (OfPSG), on-peak smart grid (OnPSG) and mid-peak smart grid (MPSG). A novel simulator was designed and implemented by using Turbo C++ to evaluate and optimize the energy and cost for the users. Results showed the highest gain of up to 88.11% and 88.06% of energy saving and cost reduction is possible comparison with the reference scenario, respectively.


Keywords


Smart grid; power scheduling algorithm; demand side management; renewable energy; smart meter

Full Text:

PDF

References


Wang, Qi, Raúl Palacios, and Fabrizio Granelli. "A Novel Architecture for the Distribution Section of Smart Grid with Renewable Sources and Power Storage." ICCCN 2013. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2013.

An Improved Routing Algorithm for Wireless Path Selection for the Smart Grid Distribution Network.

D.M. Laverty, D.J. Morrow, R. Best and P.A. Crossley, “Telecommunications for smart grid: Backhaul solutions for the distribution network,†in Proc. IEEE PES, 2010, pp. 1-6.

S. Rohjansand, M. Uslar, R. Bleiker, J. Gonz´alez, M. Specht, T. Suding, and T. Weidelt. Survey of smart grid standardization studies and recommendations. IEEE SmartGridComm’10, pages 583–587, 2010.

M. Uslar, S. Rohjansand, R. Bleiker, J. Gonz´alez, M. Specht, T. Suding, and T. Weidelt. Survey of smart grid standardization studies and recommendations - part 2. IEEE PES’10, pages 1–6, 2010.

J. Vasconcelos. Survey of regulatory and technological developments concerning smart metering in the European Union electricity market, http://cadmus.eui.eu/handle/1814/9267. EUI RSCAS PP, 2008.

Gelazanskas, L. and Gamage, K.A. (2014) Demand side Management in Smart Grid: A Review and Proposals for Future Direction. Sustainable Cities and Society, 11, 22-30.

Khan, M., Javaid, N., Arif, M., Saud, S., Qasim, U. and Khan, Z. (2014) Peak Load Scheduling in Smart Grid Communication Environment. 28th International Conference on Advanced Information Networking and Applications, Victoria, 13-16 May 2014, 1025-1032.

Meng, F.-L. and Zeng, X.-J. (2013) An Optimal Real-Time Pricing Algorithm for the Smart Grid: A Bi-Level Programming Ap-proach. OASIcs-Open Access Series in Informatics.

Darabi, Z. and Ferdowsi, M. (2011) Aggregated Impact of Plug-In Hybrid Electric Vehicles on Electricity Demand Profile. IEEE Transactions on Sustainable Energy, 2, 501-508.

Galus, M.D. and Andersson, G. (2008) Demand Management of Grid Connected Plug-In Hybrid Electric Vehicles (PHEV). Energy 2030 Conference, 2008. ENERGY 2008. IEEE, 1-8.

Haney, A.B., Jamasb, T., Platchkov, L.M. and Pollitt, M.G. (2010) Demand-Side Management Strategies and the Residential Sector: Lessons from International Experience.

Pina, A., Silva, C. and Ferrão, P. (2012) The Impact of Demand side Management Strategies in the Penetration of Renewable Electricity. Energy, 41, 128-137.

Sieminski, A. (2014) International Energy Outlook. Energy Information Administration (EIA).

McDaniel, P. and McLaughlin, S. (2009) Security and Privacy Challenges in the Smart Grid. IEEE Security & Privacy, 75-77.

Zipperer, A., Aloise-Young, P.A., Suryanarayanan, S., Roche, R., Earle, L., Christensen, D., et al. (2013) Electric Energy Management in the Smart Home: Perspectives on Enabling Technologies and Consumer Behavior. Proceedings of the IEEE, 101, 2397-2408.

Mohsenian-Rad, A.-H., Wong, V.W., Jatskevich, J., Schober, R. and Leon-Garcia, A. (2010) Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid. IEEE Transactions on Smart Grid, 1, 320-331.

L. Berger and K. Iniewski, Smart Grid: Applications, Communications, and Security. Wiley, 2012.

Yang Z, Chen YX, LiYF, ZioE, Kang R. Smart electricity meter reliability prediction based on accelerated degradation testing and modeling. IntJ Electr Power Energy Syst 2014; 56:209–19 March.

Deng, Ruilong, et al. "A survey on demand response in smart grids: Mathematical models and approaches." IEEE Transactions on Industrial Informatics 11.3 (2015): 570-582.

. Negeri, E. and Baken, N. (2012) Distributed Storage Management using Dynamic Pricing in a Self-Organized Energy Community. International Workshop on Self-Organizing Systems, 1-12.

. Kishore, S. and Snyder, L.V. (2010) Control Mechanisms for Residential Electricity Demand in Smartgrids. 1st IEEE International Conference on Smart Grid Communications, Gaithersburg, 4-6 October 2010, 443-448.

. Mediwaththe, C.P., Stephens, E.R., Smith, D.B. and Mahanti, A. (2016) A Dynamic Game for Electricity Load Management in Neighborhood Area Networks. IEEE Transactions on Smart Grid, 7, 1329-1336.

www.chinattl.com, “www.chinattl.com,†www.chinattl.com

“"Energy Information and Administration," http://www.eia.doe.gov, .,†2009.




DOI (PDF): https://doi.org/10.20508/ijrer.v8i3.7652.g7427

Refbacks

  • There are currently no refbacks.


Online ISSN: 1309-0127

Publisher: Gazi University

IJRER is cited in SCOPUS, EBSCO, WEB of SCIENCE (Clarivate Analytics);

IJRER has been cited in Emerging Sources Citation Index from 2016 in web of science.

WEB of SCIENCE between 2020-2022; 

h=30,

Average citation per item=5.73

Impact Factor=(1638+1731+1808)/(189+170+221)=9.24

Category Quartile:Q4