##plugins.themes.bootstrap3.article.main##

In this paper, optimal scheduling of home appliances
as well as dispatchable distributed generators are determined
within a residential microgrid for a specific day. In this regard,
stochastic nature of non-dispatchable distributed generators such
as wind and solar is modeled taking advantages of Markov model.
Also, there are other uncertainties in the model stem from time of
failure as well as duration of failure in the upstream grid which is
taken into account in the problem formulation. The effectiveness
of the proposed method is shown by minimizing cost of providing
customers with electricity in a residential microgrid.

Downloads

Download data is not yet available.

References

  1. H. Farhangi, ?The path of the smart grid,? IEEE power and energy
     Google Scholar
  2. magazine, vol. 8, no. 1, 2010.
     Google Scholar
  3. K. Yousefpour, S. J. H. Molla, and S. M. Hosseini, ?A dynamic approach
     Google Scholar
  4. for distribution system planning using particle swarm optimization,?
     Google Scholar
  5. International Journal of Control Science and Engineering, vol. 5, no. 1,
     Google Scholar
  6. pp. 10?17, 2015.
     Google Scholar
  7. M. Rostaghi-Chalaki, A. Shayegani-Akmal, and H. Mohseni, ?A study
     Google Scholar
  8. on the relation between leakage current and specific creepage distance,?
     Google Scholar
  9. in 18th International Symposium on High Voltage Engineering (ISH
     Google Scholar
  10. , 2013, pp. 1629?1623.
     Google Scholar
  11. M. H. K. Tushar, C. Assi, M. Maier, and M. F. Uddin, ?Smart microgrids:
     Google Scholar
  12. Optimal joint scheduling for electric vehicles and home appliances,?
     Google Scholar
  13. IEEE Transactions on Smart Grid, vol. 5, no. 1, pp. 239?250, 2014.
     Google Scholar
  14. C. Marinescu, A. Deaconu, E. Ciurea, and D. Marinescu, ?From microgrids
     Google Scholar
  15. to smart grids: Modeling and simulating using graphs. part i
     Google Scholar
  16. active power flow,? in 12th International Conference on Optimization of
     Google Scholar
  17. Electrical and Electronic Equipment (OPTIM), 2010, pp. 1245?1250.
     Google Scholar
  18. M. A. Chitsazan, M. S. Fadali, and A. M. Trzynadlowski, ?State
     Google Scholar
  19. estimation for large-scale power systems and facts devices based on
     Google Scholar
  20. spanning tree maximum exponential absolute value,? IEEE Transactions
     Google Scholar
  21. on Power Systems, 2019.
     Google Scholar
  22. O. A. Gashteroodkhani, M. Majidi, and M. Etezadi-Amoli, ?A fuzzybased
     Google Scholar
  23. control scheme for recapturing waste energy in water pressure
     Google Scholar
  24. reducing valves,? in 2018 IEEE Power & Energy Society General
     Google Scholar
  25. Meeting (PESGM). IEEE, 2018, pp. 1?5.
     Google Scholar
  26. N. J. S. Di Zhanga, N. Shahb, and G. P. Lazaros, ?Optimal scheduling of
     Google Scholar
  27. smart homes energy consumption with microgrid,? Energy, pp. 70?75,
     Google Scholar

  28.  Google Scholar
  29. B. Rahimikelarijani, M. Saidi-Mehrabad, and F. Barzinpour, ?A mathematical
     Google Scholar
  30. model for multiple-load agvs in tandem layout,? Journal of
     Google Scholar
  31. Optimization in Industrial Engineering, 2019.
     Google Scholar
  32. I. Niazazari and H. Livani, ?A pmu-data-driven disruptive event classification
     Google Scholar
  33. in distribution systems,? Electric Power Systems Research, vol.
     Google Scholar
  34. , pp. 251?260, 2018.
     Google Scholar
  35. A. Ghasemkhani, A. Anvari-Moghaddam, J. M. Guerrero, and B. Bak-
     Google Scholar
  36. Jensen, ?An efficient multi-objective approach for designing of communication
     Google Scholar
  37. interfaces in smart grids,? in 2016 IEEE PES Innovative Smart
     Google Scholar
  38. Grid Technologies Conference Europe (ISGT-Europe). IEEE, 2016, pp.
     Google Scholar
  39. ?6.
     Google Scholar
  40. S. Heydari, S. M. Mohammadi-Hosseininejad, H. Mirsaeedi, A. Fereidunian,
     Google Scholar
  41. and H. Lesani, ?Simultaneous placement of control and protective
     Google Scholar
  42. devices in the presence of emergency demand response programs
     Google Scholar
  43. in smart grid,? International Transactions on Electrical Energy Systems,
     Google Scholar

  44.  Google Scholar
  45. M. Rostaghi-Chalaki, A. Shayegani-Akmal, and H. Mohseni, ?Harmonic
     Google Scholar
  46. analysis of leakage current of silicon rubber insulators in clean-fog and
     Google Scholar
  47. salt-fog,? in 18th International Symposium on High Voltage Engineering,
     Google Scholar
  48. , pp. 1684?1688.
     Google Scholar
  49. M. A. Chitsazan, M. S. Fadali, and A. M. Trzynadlowski, ?Wind speed
     Google Scholar
  50. and wind direction forecasting using echo state network with nonlinear
     Google Scholar
  51. functions,? Renewable energy, vol. 131, pp. 879?889, 2019.
     Google Scholar
  52. M. Jafari, V. Sarfi, A. Ghasemkhani, H. Livani, L. Yang, H. Xu, and
     Google Scholar
  53. R. Koosha, ?Adaptive neural network based intelligent secondary control
     Google Scholar
  54. for microgrids,? in 2018 IEEE Texas Power and Energy Conference
     Google Scholar
  55. (TPEC). IEEE, 2018, pp. 1?6.
     Google Scholar
  56. A. Abbaskhani-Davanloo, M. Amini, M. S. Modarresi, and F. Jafarishiadeh,
     Google Scholar
  57. ?Distribution system reconfiguration for loss reduction incorporating
     Google Scholar
  58. load and renewable generation uncertainties,? in 2019 IEEE Texas
     Google Scholar
  59. Power and Energy Conference (TPEC). IEEE, 2019, pp. 1?6.
     Google Scholar
  60. B. Rahimikelarijani, A. Abedi, M. Hamidi, J. Cho, and E. Stromberg,
     Google Scholar
  61. ?Optimal ship channel closure scheduling for a bridge construction,? in
     Google Scholar
  62. IIE Annual Conference. Proceedings. Institute of Industrial and Systems
     Google Scholar
  63. Engineers (IISE), 2017, pp. 530?536.
     Google Scholar
  64. M. S. Mahmoud, S. A. Hussain, and M. Abido, ?Modeling and control
     Google Scholar
  65. of microgrid: An overview,? Journal of the Franklin Institute, vol. 351,
     Google Scholar
  66. no. 5, pp. 2822?2859, 2014.
     Google Scholar
  67. M. Bertocco, G. Giorgi, C. Narduzzi, and F. Tramarin, ?A case for
     Google Scholar
  68. ieee std. 1451 in smart microgrid environments,? in IEEE International
     Google Scholar
  69. Conference on Smart Measurements for Future Grids (SMFG), 2011,
     Google Scholar
  70. pp. 124?129.
     Google Scholar
  71. I. Niazazari, H. A. Abyaneh, M. J. Farah, F. Safaei, and H. Nafisi,
     Google Scholar
  72. ?Voltage profile and power factor improvement in phev charging station
     Google Scholar
  73. using a probabilistic model and flywheel,? in 2014 19th Conference on
     Google Scholar
  74. Electrical Power Distribution Networks (EPDC). IEEE, 2014, pp. 100?
     Google Scholar

  75.  Google Scholar
  76. M. Amini and H. Iman-Eini, ?A modified maximum power point tracking
     Google Scholar
  77. technique for grid-connected cascaded h-bridge photovoltaic inverter
     Google Scholar
  78. under partial-shading conditions,? International Research Journal of
     Google Scholar
  79. Engineering and Technology (IRJET), vol. 5, 2018.
     Google Scholar
  80. S. M. M. HN, S. Heydari, H. Mirsaeedi, A. Fereidunian, and A. R. Kian,
     Google Scholar
  81. ?Optimally operating microgrids in the presence of electric vehicles and
     Google Scholar
  82. renewable energy resources,? in 2015 Smart Grid Conference (SGC).
     Google Scholar
  83. IEEE, 2015, pp. 66?72.
     Google Scholar
  84. A. H. Mohsenian Rad, V. W. Wong, J. Jatskevich, and R. Schober, ?Optimal
     Google Scholar
  85. and autonomous incentive-based energy consumption scheduling
     Google Scholar
  86. algorithm for smart grid,? in Innovative Smart Grid Technologies (ISGT),
     Google Scholar
  87. , 2010, pp. 1?6.
     Google Scholar
  88. A. F. Bastani, Z. Ahmadi, and D. Damircheli, ?A radial basis collocation
     Google Scholar
  89. method for pricing american options under regime-switching jumpdiffusion
     Google Scholar
  90. models,? Applied Numerical Mathematics, vol. 65, pp. 79?90,
     Google Scholar

  91.  Google Scholar
  92. A. F. Bastani and D. Damircheli, ?An adaptive algorithm for solving
     Google Scholar
  93. stochastic multi-point boundary value problems,? Numerical Algorithms,
     Google Scholar
  94. vol. 74, no. 4, pp. 1119?1143, 2017.
     Google Scholar
  95. C. H. Lien, Y. W. Bai, and M. B. Lin, ?Remote-controllable power outlet
     Google Scholar
  96. system for home power management,? IEEE Transactions on Consumer
     Google Scholar
  97. Electronics, vol. 53, no. 4, 2007.
     Google Scholar
  98. E. Sierra, A. Hossian, P. Britos, D. Rodriguez, and R. Garcia Martinez,
     Google Scholar
  99. ?Fuzzy control for improving energy management within indoor building
     Google Scholar
  100. environments,? in Electronics, Robotics and Automotive Mechanics
     Google Scholar
  101. Conference (CERMA), 2007, pp. 412?416.
     Google Scholar
  102. S. Rojchaya and M. Konghirun, ?Development of energy management
     Google Scholar
  103. and warning system for resident: An energy saving solution,? in 6th
     Google Scholar
  104. International Conference on Electrical Engineering/Electronics, Computer,
     Google Scholar
  105. Telecommunications and Information Technology (ECTI-CON),
     Google Scholar
  106. , pp. 426?429.
     Google Scholar
  107. C. Y. Chen, Y. P. Tsoul, S. C. Liao, and C. T. Lin, ?Implementing the
     Google Scholar
  108. design of smart home and achieving energy conservation,? in 7th IEEE
     Google Scholar
  109. International Conference on Industrial Informatics, 2009, pp. 273?276.
     Google Scholar
  110. E. Williams, S. Matthews, M. Breton, and T. Brady, ?Use of a computerbased
     Google Scholar
  111. system to measure and manage energy consumption in the
     Google Scholar
  112. home,? in Proceedings of the 2006 IEEE International Symposium on
     Google Scholar
  113. Electronics and the Environment, 2006, pp. 167?172.
     Google Scholar
  114. O. A. Gashteroodkhani, B. Vahidi, and A. Zaboli, ?Time-time matrix
     Google Scholar
  115. z-score vector-based fault analysis method for series-compensated transmission
     Google Scholar
  116. lines,? Turkish Journal of Electrical Engineering and Computer
     Google Scholar
  117. Science, vol. 25, no. 4, pp. 2647?2659, 2017.
     Google Scholar
  118. H. Farzin, M. Fotuhi Firuzabad, and M. Moeini Aghtaie, ?Developing
     Google Scholar
  119. a stochastic approach for optimal scheduling of isolated microgrids,? in
     Google Scholar
  120. rd Iranian Conference on Electrical Engineering (ICEE), 2015, pp.
     Google Scholar
  121. ?1676.
     Google Scholar
  122. M. Grant, S. Boyd, and Y. Ye, ?Cvx: Matlab software for disciplined
     Google Scholar
  123. convex programming,? 2008.
     Google Scholar