2017 Competition & panel: Evaluating the Performance of Modern Heuristic Optimizers on Smart Grid Operation Problems
This panel and competition, which took place at the 2017 IEEE PES General Meeting, introduced two benchmark problems (also denoted as optimization test beds):
- Test bed 1: Stochastic OPF based active-reactive power dispatch. Developers: Sergio Rivera (Universidad Nacional de Colombia), Andres Romero (Universidad Nacional de San Juan), José Rueda (Delft University of Technology), Kwang Y. Lee (Baylor University), István Erlich (University Duisburg-Essen)
- Test bed 2: Optimal scheduling of distributed energy resources. Developers: Zita Vale and João Soares (Institute of Engineering – Polytechnic of Porto)
ISEP/GECAD was responsible for Test Bed 2. The call for competition was made on 14-01-2017. The evaluation process finished on 28-4-2017 after participants submitted their results. The top three ranked algorithms of Test bed 2: Optimal scheduling of distributed energy resources (sorted lists):
Variable Neighborhood Search algorithm (VNS)
Developers:
Leonardo H. Macedo, São Paulo State University-Ilha Solteira (Brazil)
John F. Franco, São Paulo State University-Ilha Solteira (Brazil)
Rubén Romero, São Paulo State University-Ilha Solteira (Brazil)
Miguel A. Ortega-Vazquez, University of Washington (USA)
Marcos J. Rider, University of Campinas (Brazil).
Modified Chaotic Biogeography-based Optimisation (CBBO) with Random Sinusoidal Migration
Developers:
Sergio Rivera, Universidad Nacional de Colombia (Colombia)
Camilo Cortes, Universidad Nacional de Colombia (Colombia)
Sergio Contreras, Universidad Nacional de Colombia (Colombia)
María Guzmán, Universidad Nacional de Colombia (Colombia)
Cross entropy method and evolutionary particle swarm optimization (CEEPSO)
Developers:
Leonel Carvalho, INESC TEC (Portugal)
Vladimiro Miranda, INESC TEC and Faculty of Engineering of the University of Porto – FEUP, (Portugal)
Armando Leite da Silva, Pontifícia Universidade Católica do Rio de Janeiro (Brazil)
Carolina Marcelino, Centro Federal de Educação de Minas Gerais (Brazil)
Elizabeth Wanner, School of Engineering and Applied Sciences (UK) and Centro Federal de Educação de Minas Gerais (Brazil)
Jean Sumaili, INESC TEC (Portugal)
Downloads:
The call for competition can be downloaded here.
The problem definitions, implementation & submission guidelines, and Matlab codes for the test beds can be downloaded here.
Competition website: http://sites.ieee.org/psace-mho/2017-smart-grid-operation-problems-competition-panel/
Presentations given in the panel session at the 2017 IEEE PES General meeting:
Zita Vale, Institute of Engineering – Polytechnic of Porto, Portugal
Test bed 2: Optimal scheduling of distributed energy resources
Leonardo H. Macedo, São Paulo State University-Ilha Solteira, Brazil
Solving Smart Grid Operation Problems Through Variable Neighborhood Search
Kartik S. Pandya, CSPIT CHARUSAT-Gujarat, India
Levy Differential Evolutionary Particle Swarm Optimization (LEVY DEEPSO)
Sergio Rivera, Universidad Nacional de Colombia, Colombia
Modified Chaotic Biogeography-based Optimisation (CBBO) with Random Sinusoidal Migration
Leonel Carvalho, INESC TEC, Portugal
Codes and results of the top three algorithms – Test bed 2
First Place: VNS.
Second Place: Modified CBBO.
Third Place: CEEPSO.
Journal paper about the competition:
Fernando Lezama, João Soares, Zita Vale, Jose Rueda, Sergio Rivera, István Elrich, “2017 IEEE competition on modern heuristic optimizers for smart grid operation: Testbeds and results,” Swarm and Evolutionary Computation, (In press) Available online since 21 May 2018.