2019 Evolutionary Computation in Uncertain Environments (Competition)

Competition Outline

GECAD – Polytechnic of Porto –, in collaboration with Delft and Adelaide Universities, proposes the optimization of a centralized day-ahead energy resource management problem in smart grids under environments with uncertainty.

Competition goals

The CEC/GECCO competition on “Evolutionary Computation in Uncertain Environments: A Smart Grid Application” has the purpose of bringing together and testing the more advanced Computational Intelligence (CI) techniques applied to an energy domain problem, namely the energy resource management problem under uncertain environments. The competition provides a coherent framework where participants and practitioners of CI can test their algorithms to solve a real-world optimization problem in the energy domain with uncertainty consideration, which makes the problem more challenging and worth to explore.

In this CEC/GECCO 2019 edition, we propose a more challenging case study in comparison with WCCI 2018 competition. The uncertainty is now represented by 500 scenarios (the last edition was 100 scenarios) with a higher level of uncertainty on the photovoltaic (PV) production. We also decreased the amount of energy that the aggregator can buy in the energy market, thus limiting the available options to find a feasible solution. Good luck to all the participants!