Publications Details
Multi-Objective Optimization for Power Electronics used in Grid-Tied Energy Storage Systems
Atcitty, Stanley A.; Hambridge, Sarah
Multi-objective optimization is used to find a nondominated set of solutions for two conflicting performance metrics or objective functions. These functions are dependent variables in the system, controlled by a set of independent variables called decision variables. The decision variables represent the inputs to the problem, chosen by the system designer, and are values listed in the solution set. In this study, a multi-objective genetic algorithm compared insulated-gate bipolar transistor (IGBT) failure rate to filter and cooling system costs. This study demonstrated the use of multi-objective optimization for energy storage systems. IGBT failure rate was compared to its associated filter and cooling-system costs as part of the DC-AC inverter power electronics system in a battery energy storage system (BESS). The independent or decision variables were determined to be switching frequency and thermal resistance of a heat sink, Rsink. The final results indicated that high values of switching frequency increased the effects of Rsink. Future work will add additional objective functions and decision variables to the study to optimize additional components in the power electronics system and BESS.