Electrical system control for achieving long-term objectives, and related systems, apparatuses, and methods
Systems and methods may use a low speed controller in addition to an economic optimizer to achieve long-term objectives without significantly disrupting or destabilizing an electrical system. Specific long-term objectives include maximizing a capacity factor incentive and regulating battery degradation, but the methods and systems herein can be extended to more long-term objectives. A low speed controller can adjust one or more parameters of a cost function based on the relation between the projected state of the electrical system and the one or more parameters to effectuate a change to the electrical system to attempt to comply with the long-term objective.
1. A long-term controller of an electrical system, comprising:
a memory to store a long-term objective for the electrical system;
a communication interface to:
receive one or more feedback variables indicating status of the electrical system; and
transmit one or more long-term parameters to a short-term controller, the one or more long-term parameters associated with the long-term objective; and
one or more processors to:
determine a projected state of the electrical system using the one or more feedback variables;
determine a relation between the projected state of the electrical system and the one or more long-term parameters associated with the long-term objective;
adjust the one or more long-term parameters based on the relation between the projected state of the electrical system and the one or more parameters to effectuate a change to the electrical system toward compliance with the long-term objective; and
provide, via the communication interface, the one or more parameters as adjusted to configure the short-term controller.
2. The long-term controller of claim 1 , wherein the one or more processors provide the one or more parameters to the short-term controller less frequently than the short-term controller provides one or more control values to effectuate a change to the electrical system.
3. The long-term controller of claim 1 , wherein the long-term objective extends over a larger period than one or more objectives of the short-term controller.
4. The long-term controller of claim 1 , wherein the long-term objective comprises controlling a lifespan of a component of the electrical system.
5. The long-term controller of claim 1 , wherein the short-term controller is configured to provide control values for control variables for control of the electrical system over an upcoming time domain, and wherein the long-term controller provides the one or more parameters as adjusted to configure the short-controller during at least a portion of a plurality of upcoming time domains.
6. The long-term controller of claim 1 , wherein the long-term controller provides the one or more parameters as adjusted to the short-term controller for inclusion as long-term parameters in a cost function of an optimizing algorithm of the short-term controller.
7. The long-term controller of claim 1 , wherein the one or more processors are further configured to:
simulate multiple values for the one or more parameters with a projected load for a future time period, wherein the one or more parameters are adjusted to a value of the multiple values that causes the electrical system to come closest to complying with the long-term objective.
8. An electrical control system, comprising:
one or more sensors coupled to one or more components of an electrical system, the one or more sensors configured to measure operating conditions of the one or more components of the electrical system;
a short-term controller to:
determine a set of control values for a set of control variables to effectuate a change to the electrical system toward meeting a short-term objective of the electrical system, the set of control values determined by using an optimization algorithm to identify the set of control values in accordance with one or more constraints and one or more cost elements associated with operation of the one or more components of the electrical system; and
provide the set of control variables to the electrical system to effectuate the change to the electrical system toward the short-term objective; and
a long-term controller-coupled to the short-term controller, the long-term controller configured to:
track the one or more operating conditions of the electrical system;
project a future state of the one or more components of the electrical system based on the operating conditions of the one or more components of the electrical system;
compare the future state to a long-term objective;
determine an adjustment factor for the optimization algorithm to effectuate a change to the electrical system toward the long-term objective based on the comparison; and
provide the adjustment factor to the short-term controller.
9. The electrical control system of claim 8 , wherein the short-term controller provides the control values of the control variables as part of a control plan providing for control of the electrical system over an upcoming time domain, and wherein the long-term controller provides the adjustment factor for use by the first controller during a plurality of upcoming time domains.
10. The electrical control system of claim 8 , wherein the short-term controller is configured to determine the set of control values for the set of control variables more frequently than the long-term controller determines the adjustment factor, and wherein the short-term controller is configured to reuse the adjustment factor until the long-term controller provides a new adjustment factor.
11. The electrical control system of claim 8 , wherein the long-term controller uses a second optimization algorithm, machine learning, or test-driven equations to determine how the adjustment factor will affect the operating conditions and future state of the electrical system.
12. The electrical control system of claim 8 , wherein the operating conditions comprise battery degradation.
13. The electrical control system of claim 8 , wherein the operating conditions comprise battery capacity loss and battery age.
14. The electrical control system of claim 8 , wherein the future state of the energy storage device comprises a projected battery life, and wherein the long-term objective comprises a desired battery life.
15. A method of a controller of an electrical system, the method comprising:
at a first frequency:
determining a set of control values for a set of control variables to effectuate a change to one or more components of the electrical system toward meeting a short-term objective, the set of control values determined using an optimization algorithm; and
providing the set of control variables to the electrical system to effectuate the change to the electrical system toward the short-term objective; and
at a second frequency:
determining a projected state of the electrical system based on operating conditions;
determining a relationship between the projected state of the electrical system and an adjustment factor within the optimization algorithm; and
modifying the adjustment factor based on the relationship to effectuate a change to the electrical system toward a long-term objective.
16. The method of claim 15 , wherein the first frequency is faster than the second frequency.
17. The method of claim 15 , wherein determining the set of control values for the set of control variables comprises determining a plurality of sets of control values to determine a control plan to optimize control of the electrical system over an upcoming time domain.
18. The method of claim 17 , wherein the adjustment factor is applied during at least a portion of a plurality of upcoming time domains.
19. The method of claim 15 , further comprising, at the second frequency, determining the adjustment factor.
20. The method of claim 15 , wherein the long-term objective comprises controlling a lifespan of a component of the electrical system.