Unit commitment considering the emergency demand response programs and interruptible/curtailable loads

Unit commitment considering the emergency demand response programs and interruptible/curtailable loads

After restructuring the power systems, demand response programs form the main part of consumptionmanagement programs. This is because these programs are by nature particularly suitable for adapting to the newstructure in power system management. These programs are considered as a suitable solution for solving some problemsin power system restructuring. Unit commitment (UC) programs are used for power production with minimum cost.In this paper, after presenting an overview of demand response methods, a mechanism is proposed for simultaneousexecution of the UC program, emergency demand response programs, and interruptible/curtailable loads. The proposedmechanism, in addition to decreasing the payment costs, ensures a flat load curve and increases system reliability.

___

  • [1] Et-Tolba H, Maaroufi M, Ouassaid M. Demand side management algorithms and modeling in smart grids a customer’s behavior based study. In: Renewable and Sustainable Energy Conference; 7–9 March 2013; Ouarzazate, Morocco. pp. 531-536.
  • [2] Kirschen DS. Demand-side view of electricity markets. IEEE T Power Syst 2003; 18: 520-527.
  • [3] Abdollahi A, Parsa Moghaddam M, Rashidinejad M, SheikhEl-Eslami MK. Investigation of economic and environmental-driven demand response measures incorporating UC. IEEE T Smart Grid 2012; 3: 12-25.
  • [4] Parsa Moghaddam M, Yousefi GR, Aalami HA. Demand response modeling considering Interruptible/Curtail able loads and capacity market programs. Appl Energ 2010; 87: 243-250.
  • [5] Zareian Jahromi M, Hosseini Bioki MM, Rashidinejad M, Fadaeinedjad R. Solution to the unit commitment problem using artificial neural network. Turk J Elec Eng & Comp Sci 2013; 21; 198-212.
  • [6] Sahebi MM, Duki EA, Kia M, Soroudi A, Ehsan M. Simultaneous emergency demand response programming and unit commitment programming in comparison with interruptible load contracts. IET Gener Transm Dis 2012; 6: 605-611.
  • [7] Bigdeli Tabar M, Tourang H, Shams S, Farahani S. Interruptible/curtailable services by using of logarithmic modeling in electricity markets. Journal of Basic and Applied Scientific Research 2011; 10: 1756-1761.
  • [8] Aghaei J, Alizadeh MI, Siano P, Heidari A. Contribution of emergency demand response programs in power system reliability. Energy 2016; 103: 688-696.
  • [9] Kirschen DS, Strbac G. Fundamentals of Power System Economics. New York, NY, USA: John Wiley & Sons, 2004.
  • [10] Strbac G, Cumperayot P, Mendes D, Kirschen DS. Factoring the elasticity of demand in electricity prices. IEEE T Power Syst 2000; 15: 612-617.
  • [11] Kia M, Sahebi MM, Duki EA, Hoseini SH. Simultaneous implementation of optimal demand response and security constrained unit commitment. In: Electrical Power Distribution Networks; 19–20 April 2011; Bandar Abbas, Iran. pp. 1-5.
  • [12] Bozorg M, Hajipour E, Hosseini SH. Interruptible load contracts implementation in stochastic security constrained unit commitment. In: PMAPS; 14–17 June 2010: Singapore. pp. 796-800.
  • [13] Khanmohammadi S, Amiri M, Tarafdar Haque M. A new three-stage method for solving unit commitment problem. Energy 2010; 35: 3072-3080.
  • [14] Karimpour A, Oloomi M, Zendehdel N. Optimal unit commitment using equivalent linear minimum up and down time constraints. In: 2nd IEEE International Conference on Power and Energy; 1–3 December 2008; Johor Bahu, Malaysia. pp. 1021-1026.
  • [15] Jeong Y, Park J, Jang S, Lee KY. A new quantum-inspired binary PSO: application to unit commitment problems for power systems. IEEE T Power Syst 2010; 25: 1486-1495.
  • [16] Albrecht FP. IEEE reliability test system, a report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE T Power Syst 1979; 2047-2054.
  • [17] Rodrigo PB, Oscar MA, Vargas LS. A scenario simulation approach for market power analysis in hydrothermal systems. IEEE T Power Syst 2003; 2: 1046-1053.
Turkish Journal of Electrical Engineering and Computer Sciences-Cover
  • ISSN: 1300-0632
  • Yayın Aralığı: Yılda 6 Sayı
  • Yayıncı: TÜBİTAK