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Ensuring energy balance for sudden demand changes in smart grids

Yıl 2023, , 49 - 73, 24.03.2023
https://doi.org/10.58559/ijes.1266296

Öz

With the increasing diversity in the use of electrical energy and the inclusion of renewable electricity power plants in the system, more efficient and more controllable electrical power systems are provided by smart grid technologies. Load balance based on pricing in electrical power systems; It is a strategy that takes into account customer demands, enables customers to use electrical energy at the most attractive price, and provides suppliers with the desired profit, that is, in summary, it coordinates the efficient operation of energy systems. In this study; While load balance is created with smart grid technology, demand-supply-price balance is achieved by using an optimum Fuzzy Logic PI controller within a closed-loop electric power control system model. Within the scope of the study, the simulation results obtained by applying 6 different demand scenarios to the power system model consisting of different types of generation resources were given graphically and analyzed. The different demand scenarios applied include difficult demand conditions such as possible sudden increase or decreases in demand in the electrical power system.

Kaynakça

  • [1] U.S. Department of Energy, Grid 2030: A national vision for electricity’s second 100 years, Department of Energy Technical Report, 2003.
  • [2] Hadjsaid N, Sabonnadiere JC. Smart Grids, Wiley-ISTE, New Jersey, 2012.
  • [3] He J, Zhao C, Cai L, Cheng P, Shi L. Practical closed-loop dynamic pricing in smart grid for supply and demand balancing. Automatica 2018; 89: 92-102.
  • [4] Kakran S, Chanana S. Smart operations of smart grids integrated with distributed generation: A review. Renewable and Sustainable Energy Reviews 2018; 81(1): 524-535.
  • [5] Eissa MM. First time real time incentive demand response program in smart grid with “i-energy” management system with different resources. Applied Energy 2018; 212: 607-621.
  • [6] Alagoz BB, Kaygusuz A, Akcin M, Alagoz S. A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market. Energy 2013; 59: 95-104.
  • [7] Alagoz BB, Kaygusuz A. Dynamic energy pricing by closed-loop fractional-order PI control system and energy balancing in smart grid energy markets. Transactions of the Institute of Measurement and Control 2016; 38(5): 565–578.
  • [8] Alquthami T, Ghrayeb A, Milyani AH, Awais M, Rasheed MB. An incentive based dynamic pricing in smart grid. Sustainability 2021; 13: 6066.
  • [9] Albogamy FR, Zakria M, Khan TA, Murawwat S, Hafeez G, Khan I. An optimal adaptive control strategy for energy balancing in smart microgrid using dynamic pricing. IEEE Access 2022; 10: 37396 – 37411.
  • [10] Tsao Y, Thanh V, Lu J. Multiobjective robust fuzzy stochastic approach for sustainable smart grid design. Energy 2019; 176: 929-939.
  • [11] Al-Mousaa A, Fazab A. A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system. Sustainable Cities and Society 2019; 44: 265-274.
  • [12] Alagoz BB, Kaygusuz A. Kapalı çevrim kesir dereceli PI kontrolör ile dinamik enerji fiyatı kontrolü ve akıllı şebekelerde otomatik enerji arz-talep dengelemesi uygulaması (in Turkish), TOK Proceedings, Kocaeli/Turkey, 11-13 September 2014.
  • [13] Alagoz BB. Değişken üretim ve değişken talep koşullarında akıllı şebekelerde enerji dengeleme (in Turkish), PhD Thesis, Inonu University, Graduate School of Natural and Applied Science, 2015.
Yıl 2023, , 49 - 73, 24.03.2023
https://doi.org/10.58559/ijes.1266296

Öz

Kaynakça

  • [1] U.S. Department of Energy, Grid 2030: A national vision for electricity’s second 100 years, Department of Energy Technical Report, 2003.
  • [2] Hadjsaid N, Sabonnadiere JC. Smart Grids, Wiley-ISTE, New Jersey, 2012.
  • [3] He J, Zhao C, Cai L, Cheng P, Shi L. Practical closed-loop dynamic pricing in smart grid for supply and demand balancing. Automatica 2018; 89: 92-102.
  • [4] Kakran S, Chanana S. Smart operations of smart grids integrated with distributed generation: A review. Renewable and Sustainable Energy Reviews 2018; 81(1): 524-535.
  • [5] Eissa MM. First time real time incentive demand response program in smart grid with “i-energy” management system with different resources. Applied Energy 2018; 212: 607-621.
  • [6] Alagoz BB, Kaygusuz A, Akcin M, Alagoz S. A closed-loop energy price controlling method for real-time energy balancing in a smart grid energy market. Energy 2013; 59: 95-104.
  • [7] Alagoz BB, Kaygusuz A. Dynamic energy pricing by closed-loop fractional-order PI control system and energy balancing in smart grid energy markets. Transactions of the Institute of Measurement and Control 2016; 38(5): 565–578.
  • [8] Alquthami T, Ghrayeb A, Milyani AH, Awais M, Rasheed MB. An incentive based dynamic pricing in smart grid. Sustainability 2021; 13: 6066.
  • [9] Albogamy FR, Zakria M, Khan TA, Murawwat S, Hafeez G, Khan I. An optimal adaptive control strategy for energy balancing in smart microgrid using dynamic pricing. IEEE Access 2022; 10: 37396 – 37411.
  • [10] Tsao Y, Thanh V, Lu J. Multiobjective robust fuzzy stochastic approach for sustainable smart grid design. Energy 2019; 176: 929-939.
  • [11] Al-Mousaa A, Fazab A. A fuzzy-based customer response prediction model for a day-ahead dynamic pricing system. Sustainable Cities and Society 2019; 44: 265-274.
  • [12] Alagoz BB, Kaygusuz A. Kapalı çevrim kesir dereceli PI kontrolör ile dinamik enerji fiyatı kontrolü ve akıllı şebekelerde otomatik enerji arz-talep dengelemesi uygulaması (in Turkish), TOK Proceedings, Kocaeli/Turkey, 11-13 September 2014.
  • [13] Alagoz BB. Değişken üretim ve değişken talep koşullarında akıllı şebekelerde enerji dengeleme (in Turkish), PhD Thesis, Inonu University, Graduate School of Natural and Applied Science, 2015.
Toplam 13 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Elektrik Mühendisliği
Bölüm Research Article
Yazarlar

Ahmet Karyeyen 0000-0002-6474-3386

Nurettin Çetinkaya 0000-0002-6111-7769

Yayımlanma Tarihi 24 Mart 2023
Gönderilme Tarihi 16 Mart 2023
Kabul Tarihi 22 Mart 2023
Yayımlandığı Sayı Yıl 2023

Kaynak Göster

APA Karyeyen, A., & Çetinkaya, N. (2023). Ensuring energy balance for sudden demand changes in smart grids. International Journal of Energy Studies, 8(1), 49-73. https://doi.org/10.58559/ijes.1266296
AMA Karyeyen A, Çetinkaya N. Ensuring energy balance for sudden demand changes in smart grids. Int J Energy Studies. Mart 2023;8(1):49-73. doi:10.58559/ijes.1266296
Chicago Karyeyen, Ahmet, ve Nurettin Çetinkaya. “Ensuring Energy Balance for Sudden Demand Changes in Smart Grids”. International Journal of Energy Studies 8, sy. 1 (Mart 2023): 49-73. https://doi.org/10.58559/ijes.1266296.
EndNote Karyeyen A, Çetinkaya N (01 Mart 2023) Ensuring energy balance for sudden demand changes in smart grids. International Journal of Energy Studies 8 1 49–73.
IEEE A. Karyeyen ve N. Çetinkaya, “Ensuring energy balance for sudden demand changes in smart grids”, Int J Energy Studies, c. 8, sy. 1, ss. 49–73, 2023, doi: 10.58559/ijes.1266296.
ISNAD Karyeyen, Ahmet - Çetinkaya, Nurettin. “Ensuring Energy Balance for Sudden Demand Changes in Smart Grids”. International Journal of Energy Studies 8/1 (Mart 2023), 49-73. https://doi.org/10.58559/ijes.1266296.
JAMA Karyeyen A, Çetinkaya N. Ensuring energy balance for sudden demand changes in smart grids. Int J Energy Studies. 2023;8:49–73.
MLA Karyeyen, Ahmet ve Nurettin Çetinkaya. “Ensuring Energy Balance for Sudden Demand Changes in Smart Grids”. International Journal of Energy Studies, c. 8, sy. 1, 2023, ss. 49-73, doi:10.58559/ijes.1266296.
Vancouver Karyeyen A, Çetinkaya N. Ensuring energy balance for sudden demand changes in smart grids. Int J Energy Studies. 2023;8(1):49-73.