This project applies NSGA-II multi-objective optimization to size battery storage and determine wind penetration levels for optimal microgrid performance.

▣ Problem

Microgrid planning requires balancing cost, reliability, renewable penetration, and system constraints.

▣ Approach

  • Formulate a multi-objective optimization problem
  • Use NSGA-II to explore tradeoffs in storage and wind integration
  • Analyze Pareto-front behavior across load and wind scenarios

▣ Publication

IEEE ICEE (2017):
https://ieeexplore.ieee.org/document/7985180