Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications

Following the success of the previous editions at WCCI 2018 (Rio de Janeiro, Brazil) and CEC/GECCO 2019 (New Zealand and Prague, Czechia) we are launching a more challenging algorithm competition at major international conferences in the field of computational intelligence. This WCCI & GECCO 2020 competition proposes two testbeds in the energy domain:Testbed 1) optimization of a centralized day-ahead energy resource management problem in smart grids under environments with uncertainty. This testbed is similar to the past challenge using a challenging 500-scenario case study with a high degree of uncertainty. We also add some restrictions to the initialization of the initial solution and the allowed repairs and tweak-heuristics.Testbed 2) bi-level optimization of end-users’ bidding strategies in local energy markets (LM). This testbed is constructed under the same framework of the past competitions (therefore, former competitors can adapt their algorithms to this new testbed), representing a complex bi-level problem in which competitive agents in the upper-level try to maximize their profits, modifying and depending on the price determined in the lower-level problem (i.e., the clearing price in the LM), thus resulting in a strong interdependence of their decisions.