Systems and methods for constrained optimization of a hybrid power system that accounts for asset maintenance and degradation

A controller for a hybrid power system, comprising:

• at least one memory storing instructions;
• and
• at least one processor operatively connected to the memory, and configured to execute the instructions to 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, the plurality of power asset groups including a genset group having a plurality of gensets;
• 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 of the hybrid power system, wherein:
• the determined active power commands include one or more of a power on or start command, a power off or stop command, a continue command, an idle command, a charge command, or a discharge command;
• 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, wherein operating a respective genset in the genset group based on the determined active power commands includes:
• determining whether an operating condition of the hybrid power system has been stable for a predetermined threshold period;
• and
• upon determining that the hybrid power system has been stable for the predetermined threshold period:
• waiting for a predetermined period of time;
• and
• after waiting for the predetermined period of time, starting or stopping operation of the respective genset.

A hybrid power system, comprising:

• a plurality of power asset groups that includes a genset group and one or more of an energy storage system group, a photovoltaic group, or a power grid connection;
• and
• a controller that includes:
• at least one memory storing instructions;
• and
• at least one processor operatively connected to the memory, and configured to execute the instructions to 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 the 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 of the hybrid power system, wherein:
• the determined active power commands include one or more of a power on or start command, a power off or stop command, a continue command, an idle command, a charge command, or a discharge command;
• 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, wherein operating a respective genset in the genset group based on the determined active power commands includes:
• determining whether an operating condition of the hybrid power system has been stable fora predetermined threshold period;
• and
• upon determining that the hybrid power system has been stable for the predetermined threshold period:
• waiting for a predetermined period of time;
• and
• after waiting for the predetermined period of time, starting or stopping operation of the respective genset.