Abstract
A game with a finite (more than three) number of players on a polyhedron of connected player strategies is studied. This game describes the interaction among (a) the base load power plant (the generator), (b) all the large customers of a regional electrical grid that receive electric energy from the generator, as well as from the available renewable sources of energy, both directly and via electricity storing facilities, and (c) the transmission company. An auxiliary three-person game on polyhedra of disjoint player strategies that is associated with the initial game is also considered. It is shown that an equilibrium point in the auxiliary game is an equilibrium point in the above game with connected player strategies. Verifiable necessary and sufficient conditions of an equilibrium in the auxiliary three-person game are proposed, and these conditions allow one to find equilibria in (the auxiliary) solvable game by solving three linear programming problems two of which form a dual pair.
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Belenky, A.: A game-theoretic approach to optimizing the scale of incorporating renewable sources of energy and electricity storing systems in a regional electrical grid. Energy Syst. (2015). doi:10.1007/s12667-015-0145-9
Belenky, A.: Minimax problems with linear constraints. Autom. Remote Control 42(6), 1409–1419 (1981)
Brunekreeft, G., Neuhoff, K., Newbery, D.: Electricity transmission: An overview of the current debate. Utilities Policy 13(2), 73–93 (2005)
Belenky, A.: A 2-person game on a polyhedral set of connected strategies. Comput. Math. Appl. 33(6), 99–125 (1997)
Belenky, A.: Finding optimal production and selling strategies for an electricity generator in a part of a country’s electrical grid. Procedia Comput. Sci. 31, 1150–1159 (2014)
Belenky, A.: Opertions Research in Transportation Systems: Ideas and Schemes of Optimization Methods for Strategic Planning and Operations Management. Springer, New York (2010)
Belenky, A.: Analyzing the potential of a firm: an operations research approach. Math. Comput. Model. 35(13), 1405–1424 (2002)
Sioshansi, F. (ed), Smart Grid: Integrating Renewable, Distributed & Efficient Energy. Academic Press (2011)
Chen-Chun, Lin, Chia-Han, Yang, Shyua, J.: A comparison of innovation policy in the smart grid industry across the pacific: China and the USA. Energy Policy 57, 119–132 (2013)
Belenky, A.: Two classes of games on polyhedral sets in systems economic studies. In: The book: Network Models in Economics and Finance, pp. 35–84. Springer, Berlin (2014)
Kelleher, J., Ringwood, J.: A computational tool for evaluating the economics of solar and wind microgeneration of electricity. Energy 34(4), 401–409 (2009)
Hirth, L.: The market value of variable renewables: the effect of solar wind power variability on their relative price. Energy Econ. 38, 218–236 (2013)
Pardalos, P., Rebennack, S., Pereira, M., Iliadis, N.: Handbook of Wind Power Systems (Energy Systems). Springer, Berlin (2014)
Ganguly, S., Sahoo, N., Das, D.: Recent advances on power distribution system planning: a state-of-the-art survey. Energy Syst. 4(2), 165–193 (2013)
Livengood, D., Larson, R.: The energy box: locally automated optimal control of residential electricity usage. Serv. Sci. 1(1), 1–16 (2009)
Pappu, V., Carvalho, M., Pardalos, P.: Optimization and Security Challenges in Smart Power Grids (Energy Systems). Springer, Berlin (2013)
Nesterov, Y.: Introductory Lectures on Convex Optimization: A Basic Course, Series Applied Optimization. Springer, Berlin (2004)
Mondaini, R., Pardalos, P. (eds.): Mathematical Modelling of Biosystems, Series Applied Oprtimization. Springer, Berlin (2008)
Pardalos, P., Resende, M. (eds.): Handbook of Applied Optimization. Oxford University Press, Oxford (2002)
Acknowledgments
The idea of using a game-theoretic approach to optimizing the scale of incorporating renewable sources of energy and electricity storing systems in regional electrical girds was first presented at the Conference “Network Models in Economics and Finance,” at the National Technical University of Athens, June 13–15, 2013, organized and held under the leadership of Prof. Panos Pardalos, a world-leading scientist in the field of optimization of energy systems, whose support of this idea and the encouragement in developing it the author highly appreciates. The author expresses his gratitude to Prof. Fuad Aleskerov, a world-leading scientist in the field of developing decision-making systems, with whom the author has had fruitful discussions on developing tools for quantitatively analyzing electrical grids as large-scale systems. The author appreciates support rendered to his research works by the MIT Center for Engineering Systems Fundamentals, headed by Prof. Richard C. Larson, a world-leading scientist in the field of modeling service systems, who has drawn the author’s attention to modeling the use of electricity storing systems in electrical grids. Finally, the author would like to thank two anonymous referees whose critical reviews of the paper have been very useful. The paper was prepared within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and supported within the framework of a subsidy granted to the HSE by the Government of the Russian Federation for the implementation of the Global Competitiveness Program.
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Belenky, A.S. Finding an optimal strategy of incorporating renewable sources of energy and electricity storing systems in a regional electrical grid. Energy Syst 6, 291–308 (2015). https://doi.org/10.1007/s12667-015-0144-x
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DOI: https://doi.org/10.1007/s12667-015-0144-x