Outage Power Cost Calculation and Optimal Interruption Allocation to the Customers
Subject Areas : electrical and computer engineeringMahdi Khajeh Rezaei 1 , Gh. yousefi 2 , 3 , Ebrahim Shayesteh 4
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Keywords: Customersload shedding historycustomer’s endurancedemand responseload shedding allocationoutage cos,
Abstract :
In power systems operation, interruptions occur due to various reasons such as faults and inadequacy of generation. Load shedding allocation with respect to operation costs and security, customers’ type and their behavior is the main challenge of this paper. In this research a new procedure for load shedding allocation with respect to the “load shedding history” of each customer is presented. In this research a new coefficient, called endurance coefficient, is introduced. The customers declare their dependency to electricity via sending their endurance coefficients to the power system operator (ISO).A new method is proposed in this paper in which the customers get paid according to the mentioned coefficient, if load shedding occurs. For validation of the proposed method, different scenarios on IEEE RTS 24-bus test grid is studied and numerical results show effectiveness of the proposed method.
[1] P. Teansri, P. Bhasaputra, and W. Pattaraprakorn, "Application of adaptive neuro fuzzy inference system for outage cost evaluation," in Proc. 7th Int. Conf. on ICT and Knowledge Engineering, pp. 24-27, Bangkok, Thailand, 1-2 Dec. 2009.
[2] B. E. Baarsma and J. P. Hop, "Pricing power outages in the Netherlands," Energy, vol. 34, no. 9, pp. 1378-1386, Sept. 2009.
[3] C. Growitsch, R. Malischek, S. Nick, and H. Wetzel, "The costs of power interruptions in Germany-an Assessment in the light of the Energiewende," EWI Working Paper 2013.
[4] A. Safdarian, M. Lehtonen, M. Fotuhi-Firuzabad, and R. Billinton, "Customer interruption cost in smart grids," IEEE Trans. on Power Systems, vol. 29, no. 2, pp. 994-995, Mar. 2014.
[5] L. Sun, S. You, J. Hu, and F. Wen, "Optimal allocation of smart substations in a distribution system considering interruption costs of customers," IEEE Trans. on Smart Grid, vol. 9, no. 4, pp. 3773-3782, Jul. 2018.
[6] A. Bagchi, L. Goel, and P. Wang, "An optimal virtual power plant planning strategy from a composite system cost/worth perspective," in Proc. IEEE Milan PowerTech, 6 pp., Milan, Iraly, 23-27 Jun. 2019.
[7] N. I. Nwulu and X. Xia, "Multi-objective dynamic economic emission dispatch of electric power generation integrated with game theory based demand response programs," Energy Conversion and Management, vol. 89, no. 3, pp. 963-974, Jan. 2015.
[8] A. Bagchi, Power System Adequacy and Cost/Worth Assessment Incorporating Virtual Power Plants, Ph.D Thesis, Electrical Engineering, Nanyang Technological University, Singapore, 2018.
[9] H. Aalami, M. P. Moghaddam, and G. R. Yousefi, "Demand response modeling considering interruptible/curtailable loads and capacity market programs," Applied Energy, vol. 87, no. 1, pp. 243-250, Jan. 2010.
[10] M. Rastegar and M. Fotuhi-Firuzabad, "Outage management in residential demand response programs," IEEE Trans. on Smart Grid, vol. 6, no. 3, pp. 1453-1462, May 2015.
[11] P. M. Subcommittee, "IEEE reliability test system," IEEE Trans. on Power Apparatus and Systems, vol. 98, no. 6, pp. 2047-2054, Nov. 1979.