Valuing flexibility in demand-side response: A real options approach

Document Type : IIEC 2020

Author

Industrial Engineering Department, Babol Noshirvani University of Technology, Babol, Iran

Abstract

The investment interests in the electricity industry are transmitted through various mechanisms to other economic activities. This paper considers methods for esteeming the adaptability of demand-side response (DSR) in its capacity to react to future uncertainties. The capacity to evaluate this adaptability is particularly critical for vitality frameworks speculations given their extensive and irreversible capital expenses. The primary result of this exploration is a broad survey of current real options (RO) strategies that elucidate the suppositions and use of RO for basic leadership in engineering applications. The second result is the structure of a probabilistic RO framework and operational model for DSR that evaluates its advantages as a vitality benefit for supporting diverse market price risks. The third result of this work is the improvement of a total, general and viable apparatus for making long haul multi-arranged speculation choices in future power organizes under numerous vulnerabilities.

Keywords

Main Subjects


Agnetis, A., Dellino, G., De Pascale, G., Innocenti, G., Pranzo, M., & Vicino, A. (2011, October). Optimization models for consumer flexibility aggregation in smart grids: The ADDRESS approach. In 2011 IEEE First International Workshop on Smart Grid Modeling and Simulation (SGMS) (pp. 96-101). IEEE.
 
Alstad, R. M., & Foss, J. T. (2003). Real option analysis of gas fired power plants. NTNU, Norwegian University of Science and Technology, Department of Industrial Economics and Technology Management.
 
Anderson, E. J., & Philpott, A. B. (2002). Using supply functions for offering generation into an electricity market. Operations research50(3), 477-489.
 
Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of political economy81(3), 637-654.
 
Boyle, P. P. (1977). Options: A monte carlo approach. Journal of financial economics4(3), 323-338.
 
Brennan, M. J., & Schwartz, E. S. (1985). Evaluating natural resource investments. Journal of business, 135-157.
 
Chorn, L. G., & Shokhor, S. (2006). Real options for risk management in petroleum development investments. Energy Economics28(4), 489-505.
 
Conejo, A. J., Morales, J. M., & Baringo, L. (2010). Real-time demand response model. IEEE Transactions on Smart Grid1(3), 236-242.
 
Cox, J. C., & Ross, S. A. (1976). The valuation of options for alternative stochastic processes. Journal of financial economics3(1-2), 145-166.
 
Davis, G. A., & Owens, B. (2003). Optimizing the level of renewable electric R&D expenditures using real options analysis. Energy policy31(15), 1589-1608.
 
de Moraes Marreco, J., & Carpio, L. G. T. (2006). Flexibility valuation in the Brazilian power system: A real options approach. Energy Policy34(18), 3749-3756.
 
de Neufville, R. (2002). Architecting/designing engineering systems using real options.
 
Deng, S. J., Johnson, B., & Sogomonian, A. (2001). Exotic electricity options and the valuation of electricity generation and transmission assets. Decision support systems30(3), 383-392.
 
Deng, S. J., & Oren, S. S. (2003). Incorporating operational characteristics and start-up costs in option-based valuation of power generation capacity. Probability in the Engineering and Informational Sciences17(2), 155-181.
 
Dias, M. A. G. (2004). Valuation of exploration and production assets: an overview of real options models. Journal of petroleum science and engineering44(1-2), 93-114.
 
Debia, S., Pineau, P. O., & Siddiqui, A. S. (2019). Strategic use of storage: The impact of carbon policy, resource availability, and technology efficiency on a renewable-thermal power system. Energy Economics80, 100-122.
 
Evatt, G. W., Johnson, P. V., Duck, P. W., Howell, S. D., & Moriarty, J. (2011). The expected lifetime of an extraction project. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences467(2125), 244-263.
 
Federico, G., & Rahman, D. (2003). Bidding in an electricity pay-as-bid auction. Journal of Regulatory Economics24(2), 175-211.
 
Felder, F. A. (1996). Integrating financial theory and methods in electricity resource planning. Energy policy24(2), 149-154.
 
Feuerriegel, S., & Neumann, D. (2014). Measuring the financial impact of demand response for electricity retailers. Energy Policy65, 359-368.
 
Fleten, S. E., Maribu, K. M., & Wangensteen, I. (2007). Optimal investment strategies in decentralized renewable power generation under uncertainty. Energy32(5), 803-815.
 
Fleten, S. E., & Näsäkkälä, E. (2010). Gas-fired power plants: Investment timing, operating flexibility and CO2 capture. Energy Economics32(4), 805-816.
 
Fricke, E., & Schulz, A. P. (2005). Design for changeability (DfC): Principles to enable changes in systems throughout their entire lifecycle. Systems Engineering8(4), no-no.
 
Garcia, A., & Arbeláez, L. E. (2002). Market power analysis for the Colombian electricity market. Energy economics24(3), 217-229.
 
Hassan, R., & de Neufville, R. (2006, June). Design of engineering systems under uncertainty via real options and heuristic optimization. In Real Options Conference (Vol. 29). New York, NY.
 
Holmberg, P. (2008). Unique supply function equilibrium with capacity constraints. Energy Economics30(1), 148-172.
 
Holmberg, P. (2009). Supply function equilibria of pay-as-bid auctions. Journal of Regulatory Economics36(2), 154-177.
 
Kester, W. C. (1984). Today's options for tomorrow's growth.
 
Lagarto, J., de Sousa, J., Martins, A., & Ferrao, P. (2012, May). Price forecasting in the day-ahead Iberian electricity market using a conjectural variations ARIMA model. In 2012 9th International Conference on the European Energy Market (pp. 1-7). IEEE.
 
Majd, S., & Pindyck, R. S. (1987). Time to build, option value, and investment decisions. Journal of financial Economics18(1), 7-27.
 
Martinez-Cesena, E. A., & Mutale, J. (2011). Wind power projects planning considering real options for the wind resource assessment. IEEE Transactions on Sustainable Energy3(1), 158-166.
 
Mathews, S., Datar, V., & Johnson, B. (2007). A practical method for valuing real options: The Boeing approach. Journal of Applied Corporate Finance19(2), 95-104.
 
McDonald, R., & Siegel, D. (1986). The value of waiting to invest. The quarterly journal of economics101(4), 707-727.
 
McDonald, R. L., & Siegel, D. R. (1985). Investment and the valuation of firms when there is an option to shut down. International economic review, 331-349.
 
Merton, R. C. (1973a). An intertemporal capital asset pricing model. Econometrica: Journal of the Econometric Society, 867-887.
 
Merton, R. C. (1973b). Theory of rational option pricing. The Bell Journal of economics and management science, 141-183.
 
Munoz, J. I., Contreras, J., Caamano, J., & Correia, P. F. (2009, June). Risk assessment of wind power generation project investments based on real options. In 2009 IEEE Bucharest PowerTech (pp. 1-8). IEEE.
 
Myers, S. C. (1977). Determinants of corporate borrowing. Journal of financial economics5(2), 147-175.
 
Näsäkkälä, E., & Fleten, S. E. (2005). Flexibility and technology choice in gas fired power plant investments. Review of Financial Economics14(3-4), 371-393.
 
Nembhard, H. B., & Aktan, M. (Eds.). (2009). Real options in engineering design, operations, and management. CRC Press.
 
Niu, H., Baldick, R., & Zhu, G. (2005). Supply function equilibrium bidding strategies with fixed forward contracts. IEEE Transactions on power systems20(4), 1859-1867.
 
Paddock, J. L., Siegel, D. R., & Smith, J. L. (1988). Option valuation of claims on real assets: The case of offshore petroleum leases. The Quarterly Journal of Economics103(3), 479-508.
 
Santos, L., Soares, I., Mendes, C., & Ferreira, P. (2014). Real options versus traditional methods to assess renewable energy projects. Renewable Energy68, 588-594.
 
Schachter, J., & Mancarella, P. (2014, May). A short-term load forecasting model for demand response applications. In 11th International Conference on the European Energy Market (EEM14) (pp. 1-5). IEEE.
 
Sezgen, O., Goldman, C. A., & Krishnarao, P. (2007). Option value of electricity demand response. Energy32(2), 108-119.
 
Siegel, D. R., Smith, J. L., & Paddock, J. L. (1987). Valuing offshore oil properties with option pricing models. Midland Corporate Finance Journal5(1), 22-30.
 
Sioshansi, R., & Oren, S. (2007). How good are supply function equilibrium models: an empirical analysis of the ERCOT balancing market. Journal of Regulatory Economics31(1), 1-35.
 
Skinner, R. K., & Ward, J. (2009, June). Applied valuation of demand response under uncertainty: Combining supply-side methods to value equivalent demand-side resources. In 32nd IAEE International Conference, http://www. usaee. org/usaee2009/submissions/OnlineProceedings/Applied% 20Valuation% 20of% 20Demand% 20Response (Vol. 20).
 
Slade, M. E. (2001). Valuing managerial flexibility: An application of real-option theory to mining investments. Journal of Environmental Economics and Management41(2), 193-233.
 
Stulz, R. (1982). Options on the minimum or the maximum of two risky assets: analysis and applications. Journal of Financial Economics10(2), 161-185.
 
Tilley, J. A. (1999). Valuing American options in a path simulation model.
 
Tseng, C. L., & Barz, G. (2002). Short-term generation asset valuation: a real options approach. Operations Research50(2), 297-310.
 
Zhu, Z., Tang, J., Lambotharan, S., Chin, W. H., & Fan, Z. (2012, January). An integer linear programming based optimization for home demand-side management in smart grid. In 2012 IEEE PES Innovative Smart Grid Technologies (ISGT) (pp. 1-5). IEEE.