16th International Conference on the European Energy Market - EEM19, Ljubljana (Slovenia). 18-20 September 2019
Summary:
Many Generation Expansion Problems (GEP) models have been proposed in the literature based on agent-based equilibria or cost-minimization, integrated in bilevel or single-level models. In the simplest (and unrealistic)single-level cost minimization GEP with only the balance constraint, it can be proved that optimal generation investments are recovered through the system marginal cost, meaning that the Net Present Value (NPV) is 0. However, in more complex representations with additional constraints(such as technical or minimum capacity system constraints) non-profitable investments might occur, i.e., their NPV can go below 0.The aim of this work is to provide insights on how introducing complexity into GEP models affects the investments with and without imposing positive NPV as new constraints. The non-linearities in the NPV formulation are solved with a novel iterative algorithm. The main conclusion from the case studies is that the cost minimization GEP model forcing positive NPV can help to better represent the behavior of energy market players and simulate oligopolistic energy markets without explicitly representing profit maximization.
Keywords: Profitability, generation expansion planning, electricity market, optimization models, net present value
DOI: 
https://doi.org/10.1109/EEM.2019.8916509
Published in IEEE EEM 2019, pp: 1-6, ISBN: 978-1-7281-1258-9
Publication date: 2019-11-28.
Citation:
S. Doménech, F.A. Campos, J. Villar, Generation expansion planning based on positive net present value, 16th International Conference on the European Energy Market - EEM19, Ljubljana (Slovenia). 18-20 September 2019. In: IEEE EEM 2019: Conference proceedings, ISBN: 978-1-7281-1258-9
