Journal
ENERGY ECONOMICS
Volume 36, Issue -, Pages 135-146Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.eneco.2012.12.007
Keywords
Mathematical Program subject to Equilibrium; Constraints (MPEC); Equilibrium Problem subject to Equilibrium; Constraints (EPEC); Nash equilibrium; Power transmission planning; Power systems economics; Anticipative network planning
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Like in the film Field of Dreams, the sentence if you build it, he will come also applies in power systems. In this sense, if a transmission planner suggests building some lines in anticipation of generation capacity investments, then it can induce generation companies to invest in a more socially efficient manner. In this paper, we solve for the optimal way of doing this anticipative power transmission planning. Inspired in the proactive transmission planning model proposed by Sauma and Oren (2006) we formulate a mixed integer linear programming optimization model that integrates transmission planning, generation investment, and market operation decisions and propose a methodology to solve for the optimal transmission expansion. Contrary to the proactive methodology proposed by Sauma and Oren (2006), our model solves the optimal transmission expansion problem anticipating both generation investment and market clearing. We use the marginalist theory with production cost functions inversely related to the installed capacity in a perfectly competitive electricity market and we find all possible generation expansion pure Nash equilibria. We illustrate our results using 3-node and 4-node examples. (C) 2012 Elsevier B.V. All rights reserved.
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