Dynamic framework for managing an integrated energy system and methods thereof

A computing device for dynamically managing an energy system, comprising:

• a processor;
• and
• a memory operably coupled to the processor, the memory storing instructions, which when executed by the processor cause the processor to:
• determine a production plan for an energy system over a finite time horizon, the energy system including a plurality of energy units, wherein determining the production plan includes:
• determining a first stochastic system dynamic program based on a state of the energy system and an energy demand in the energy system, the energy demand corresponding to a baseline forecast model, wherein the first stochastic system dynamic program is subject to a constraint of meeting the energy demand of the baseline forecast model over discrete time periods of the finite time horizon and a corresponding state of the energy system;
• determining a second stochastic system dynamic program by relaxing the first stochastic system dynamic program, wherein relaxing the first stochastic system dynamic program includes applying stochastic value functions based on a history of states of the energy system;
• decomposing the second stochastic system dynamic program into unit-specific stochastic system dynamic programs corresponding to each energy unit of the plurality of energy units;
• and
• applying the unit-specific stochastic system dynamic programs with a price model to define a bound on the first stochastic system dynamic program, wherein the price model is based on the state of the energy system;
• and
• determine a forward-looking dynamic economic dispatch plan based on the second stochastic system dynamic program for each discrete time period of the finite time horizon, wherein determining the economic dispatch plan for each discrete time period includes:
• identifying a current state for the energy system corresponding to a first discrete time period of the finite time horizon;
• identifying current unit-specific states corresponding to the first discrete time period, wherein the current unit-specific states are identified from the identified current state of the energy system;
• identifying actions for each energy unit corresponding to production levels that are reachable from the identified current unit-specific states;
• applying the current unit-specific states and the identified actions to the production plan to generate an updated production plan, the updated production plan including unit-specific actions and unit-specific expected continuation values based on the second stochastic system dynamic program that modify subsequent actions over the finite time horizon;
• and
• dispatching the identified unit-specific actions to the energy system.

A non-transitory computer-readable storage medium storing instructions, which when executed by a processor, cause the processor to:

• determine a production plan for an energy system over a finite time horizon, the energy system including a plurality of energy units, wherein determining the production plan includes:
• determining a first stochastic system dynamic program based on a state of the energy system and an energy demand in the energy system, the energy demand corresponding to a baseline forecast model, wherein the first stochastic system dynamic program is subject to a constraint of meeting the energy demand of the baseline forecast model over discrete time periods of the finite time horizon and a corresponding state of the energy system;
• determining a second stochastic system dynamic program by relaxing the first stochastic system dynamic program, wherein relaxing the first stochastic system dynamic program includes applying stochastic value functions based on a history of states of the energy system;
• decomposing the second stochastic system dynamic program into unit-specific stochastic system dynamic programs corresponding to each energy unit of the plurality of energy units;
• and
• applying the unit-specific stochastic system dynamic programs with a price model to define a bound on the first stochastic system dynamic program, wherein the price model is based on the state of the energy system;
• and
• determine a forward-looking dynamic economic dispatch plan based on the second stochastic system dynamic program for each discrete time period of the finite time horizon, wherein determining the economic dispatch plan for each discrete time period includes:
• identifying a current state for the energy system corresponding to a first discrete time period of the finite time horizon;
• identifying current unit-specific states corresponding to the first discrete time period, wherein the current unit-specific states are identified from the identified current state of the energy system;
• identifying actions for each energy unit corresponding to production levels that are reachable from the identified current unit-specific states;
• applying the current unit-specific states and the identified actions to the production plan to generate an updated production plan, the updated production plan including unit-specific actions and unit-specific expected continuation values based on the second stochastic system dynamic program that modify subsequent actions over the finite time horizon;
• and
• dispatching the identified unit-specific actions to the energy system.