Invited Session Mon.3.MA 549

Monday, 15:15 - 16:45 h, Room: MA 549

Cluster 18: Optimization in energy systems [...]

Optimisation models for renewables integration


Chair: Rodrigo Moreno and Luiz Augusto Barroso



Monday, 15:15 - 15:40 h, Room: MA 549, Talk 1

Enzo Sauma
Transmission planning and generation response for integrating renewables

Coauthors: Javier Contreras, David Pozo


Using a Mixed Integer Linear Programming (MILP) model, we analyze the transmission planning decisions while characterizing the competitive interaction among generation firms whose decisions in generation capacity investments and production are affected by both the transmission investments and the market operation. We illustrate the model by means of the implementation of a stylized version of the transmission planning in the main Chilean network.



Monday, 15:45 - 16:10 h, Room: MA 549, Talk 2

Bruno dos Santos Fanzeres
Backing up wind power firm contract sales on hydro generation with stochastic optimization: A Brazilian case study

Coauthors: Lucas Amaral, Bruno Freire, Delberis Lima, Alexandre A. Street, Bianca Veiga


In this case study, a wind power producer (WPP) backs up a contract sell in the forward market on a small run-of-river hydro (SH) Genco production. The model determines the amount of SH participation and the WPP willingness to contract. To achieve this goal, a joint wind-inflow statistical model is used to simulate renewable resources consistently with a set of simulated scenarios of short-term prices provided by an independent dispatch simulation tool. Such methodology is able to couple both sets of independently simulated scenarios such that a joint contracting opportunity can be evaluated and optimized.



Monday, 16:15 - 16:40 h, Room: MA 549, Talk 3

Rodrigo Moreno
Transmission network operation and planning with probabilistic security to facilitate the connection of renewable generation

Coauthors: Danny Pudjianto, Goran Strbac


Current transmission networks are mainly operated and designed based on deterministic decision-making methods. Such methods do not take consideration of real outage risks of network components and therefore of actual benefits and costs of corrective control (or operational measures). This leads to over requirement of transmission capacity in planning timescales and significant constraints to access remote wind power in operational timescales. In this context, this presentation analyses various characteristics of a fully integrated economic and reliability probabilistic framework for network operation and planning that takes account of efficient operational measures to deliver network capacity to users. For the demonstrations, a new two-stage probabilistic optimisation model for the operational and planning problems is presented. The model is based on a Benders algorithm and is able to balance network utilisation/redundancy levels against the use of operational measures by minimising costs and risks in every operating condition. A novel contingencies-selection technique to identify the relevant outages and therefore lower the computational burden is also presented.


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