Energy planning and modern portfolio theory: A review
By F. deLlano-Paz, A. Calvo-Silvosa, Susana Iglesias Antelo, I. Soares. 2017
113 citations recorded by the source corpus.
Modern portfolio theory (MPT) stands as a widely accepted methodology to meet the challenges associated with the definition of energy planning for a particular territory or region. Energy planning is thus framed as an investment selection problem. MPT is characterized by having a wider capacity and conceptual richness than the other previously used methodologies, such as the individual least cost alternative. The portfolio approach is based on solving for an objective function that seeks to minimize either the cost or the risk of the portfolio, subject to different constraints, considering that real electricity generation assets can be defined in terms of cost or return and economic risk for each alternative technology. The relevant portfolios are the result of solving the optimization model, to determine the efficient cost-risk frontier. The work presented here consists of an exhaustive review of the literature in relation to the application of MPT methodology to the field of energy planning and electricity production. A new classification is proposed from a financial perspective of the selection of investments from the preceding studies. It delves deeper into the explanation of the limits to the methodology and into the concept of risk, which is key from both a financial and an energy perspective. The main methodological contributions found in the literature are examined that are aimed at improving the capacity of the model and adjusting it to the reality of the electricity market, Finally, conclusions are provided from the works analyzed in terms of renewable technologies and the policy implications derived from them. In most studies, a preference has been shown for the inclusion of renewable technologies in the efficient portfolios. However, in order to implement the decision to increase the share of renewable technologies, greater flexibility in the interconnection capacity between states and in storage capacity is needed.
Subfields: Electrical and Electronic Engineering, General Energy
View Paper: https://www.semanticscholar.org/paper/8cdb37379fdaf858bc8c5a05ac7d3a2a52c6afe3
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Citations in the corpus
- The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts (2018, background): “ocks under expected return and variance. However, there are a few energy market applications of mean-variance concepts available (the interested reader might refer to a recent review of this topic in Calvo-Silvosa et al. (2017)). To apply such, the definition of return needs to be clarified. Financial”