Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining load data for the hybrid power system; obtaining power availability data and energy cost data for each power asset in each power asset group of a plurality of power asset groups; and determining active power commands for each power asset by performing at least one optimization, such that the determined active power commands optimize a total operating cost, wherein: the at least one optimization is based on at least one cost function that accounts for asset degradation, asset maintenance cost, asset operation efficiency cost, and the energy cost data; and the at least one optimization is constrained by a plurality of constraints based on the load data, the power availability data, and characteristics of the power assets; and operating each power asset based on the determined active power commands.

Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining a load forecast; obtaining a power availability forecast and an energy cost forecast for each power asset group; performing at least one prospective optimization to determine scheduled active power commands for the groups that optimize a total operating cost; tracking an on-line load; tracking an on-line power availability and an on-line energy cost for the groups; performing at least one on-line optimization to determine on-line active power commands for the groups that (i) account for variance between the load forecast and the on-line load, (ii) account for variance between the power availability forecast and the on-line power availability, and (iii) optimize the total operating cost; and operating the groups based on the scheduled active power commands and the on-line active power commands.

Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining load data for the hybrid power system; obtaining power availability data and energy cost data for each power asset in each power asset group of a plurality of power asset groups; and determining active power commands for each power asset by performing at least one optimization, such that the determined active power commands optimize a total operating cost, wherein: the at least one optimization is based on at least one cost function that accounts for asset degradation, asset maintenance cost, asset operation efficiency cost, and the energy cost data; and the at least one optimization is constrained by a plurality of constraints based on the load data, the power availability data, and characteristics of the power assets; and operating each power asset based on the determined active power commands.

Abstract: Systems and methods for operating a hybrid power system are disclosed. A controller may perform operations, including: obtaining a load forecast; obtaining a power availability forecast and an energy cost forecast for each power asset group; performing at least one prospective optimization to determine scheduled active power commands for the groups that optimize a total operating cost; tracking an on-line load; tracking an on-line power availability and an on-line energy cost for the groups; performing at least one on-line optimization to determine on-line active power commands for the groups that (i) account for variance between the load forecast and the on-line load, (ii) account for variance between the power availability forecast and the on-line power availability, and (iii) optimize the total operating cost; and operating the groups based on the scheduled active power commands and the on-line active power commands.