Battery energy storage system and microgrid controller
View Patent ↗This invention is directed to systems and methods that track a specified stored energy level profile for a BESS in a microgrid. The systems and methods including using a control algorithm that tracks the stored energy level profile for the BESS. The controller algorithm includes a Kalman Filter design for a model-based state reconstruction to overcome sensor/communication errors during real-time operation. The latter is important to guarantee the ability of the microgrid to continue its seamless operation during periods of erroneous sensor measurements or flawed communication.
1. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads, wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager, wherein the microgrid controller is operable to adjust an output frequency of the inverter with a control algorithm function in response to a state of a frequency of the microgrid, a power transfer state of the load manager, and an energy profile for the BESS, wherein the algorithm uses a model-based state reconstruction to compensate for sensor and/or communication errors during real-time operation.
2. The microgrid system of claim 1 , wherein the control algorithm function uses real-time feedback measurement of the absolute or relative measure of the stored energy level of the BESS, continuous generation of power demand or current demand signals for the BESS, and corrects, via the model-based state reconstruction, measurements representing the absolute or relative measure for the stored energy level of the BESS.
3. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads, wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager, wherein the microgrid controller is operable to adjust an output frequency of the inverter in response to both a state of a frequency of the microgrid and a power transfer state of the load manager,
wherein the microgrid controller is operable to implement, in conjunction with the control algorithm function, a Kalman filter operation to generate a model-based state reconstruction of a stored energy profile for the BESS.
4. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager wherein the microgrid controller is operable to adjust an output frequency of the inverter in response to both a state of a frequency of the microgrid and a power transfer state of the load manager,
wherein the microgrid controller is operable to generate, using a control algorithm function, a stored energy profile for the BESS, and wherein the received energy level measurement data is an absolute measure of energy stored in the BESS.
5. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads, wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager, wherein the microgrid controller is operable to adjust an output frequency of the inverter in response to both a state of a frequency of the microgrid and a power transfer state of the load manager,
wherein the microgrid controller is operable to generate, using a control algorithm function, a stored energy profile for the BESS, and wherein the received energy level measurement data is a relative measure of energy stored in the BESS.
6. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads, wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager, wherein the microgrid controller is operable to adjust an output frequency of the inverter in response to both a state of a frequency of the microgrid and a power transfer state of the load manager,
wherein the microgrid controller is operable to generate, using a control algorithm function, a stored energy profile for the BESS, and wherein the microgrid controller is further operable to generate a feedback data stream comprising measurement data associated with operation of at least one of the BESS, the one more renewable energy sources, the inverter, and combinations thereof.
7. The microgrid system of claim 6 , wherein the microgrid controller is further operable to generate a reference data stream comprising reference data associated with desired stored energy levels for the BESS.
8. The microgrid system of claim 7 , wherein the microgrid controller is further operable to generate a control data stream comprising control data for selectively controlling the amount of electrical energy stored in the BESS, wherein the amount of electrical energy stored in the BESS is determined accordance therewith.
9. The microgrid system of claim 8 , wherein the microgrid controller generates the control data stream by subjecting a least a portion of the feedback data stream and the reference stream to a feedback control algorithm function.
10. The microgrid system of claim 9 , wherein the control data stream includes at least one of current dispatch commands transmitted to the BESS, AC real power dispatch commands transmitted to the inverter, and combinations thereof.
11. A microgrid system comprising:
a battery energy storage system (BESS”) configured to store direct current (DC) electrical energy therein;
one or more renewable energy sources configured to generate electrical power;
a plurality of power consuming loads;
a load manager coupled between the BESS and the one or more renewable energy sources and the plurality of power consuming loads, wherein the load manager includes an inverter configured to provide power to and receive power from the BESS and convert the DC electrical energy of the BESS; and
a microgrid controller coupled to the load manager, wherein the microgrid controller is operable to:
adjust an output frequency of the inverter in response to both a state of a frequency of the microgrid and a power transfer state of the load manager;
receive power measurement data associated with a power production of the one or more renewable energy sources;
receive energy level measurement data associated with an energy level of the BESS;
selectively control an amount of electrical energy stored in the BESS based on at least a portion of the power measurement data and the energy level measurement data; and
generate a feedback data stream comprising measurement data associated with operation of at least one of the BESS, the one more renewable energy sources, the inverter, and combinations thereof, and wherein the microgrid controller is operable to adjust an output frequency of the inverter with a control algorithm function in response to a state of a frequency of the microgrid, a power transfer state of the load manager, and an energy profile for the BESS, wherein the algorithm uses a model-based state reconstruction to compensate for sensor and/or communication errors during real-time operation.
12. The microgrid system of claim 11 , wherein the microgrid controller is operable to generate, using a control algorithm function, a stored energy profile for the BESS.
13. The microgrid system of claim 12 , wherein the microgrid controller is operable to implement, in conjunction with the control algorithm function, a Kalman filter operation to generate a model based state reconstruction of a stored energy profile for the BESS.
14. The microgrid system of claim 12 , wherein the received energy level measurement data is an absolute measure of energy stored in the BESS.
15. The microgrid system of claim 12 , wherein the received energy level measurement data is a relative measure of energy stored in the BESS.
16. The microgrid system of claim 11 , wherein the microgrid controller is further operable to generate a feedback data stream comprising reference data associated with desired stored energy levels for the BESS.
17. The microgrid system of claim 16 , wherein the microgrid controller is further operable to generate a control data stream comprising control data for selectively controlling the amount of electrical energy stored in the BESS, wherein the amount of electrical energy stored in the BESS is determined accordance therewith.
18. The microgrid system of claim 17 , wherein the microgrid controller generates the control data stream by subjecting a least a portion of the feedback data stream and the reference stream to a feedback control algorithm function.
19. The microgrid system of claim 18 , wherein the control data stream includes at least one of current dispatch commands transmitted to the BESS, AC real power dispatch commands transmitted to the inverter, and combinations thereof.
20. The microgrid system of claim 1 , wherein the model-based state reconstruction models an effect of random fluctuations in the dynamic progression of the stored energy in the BESS.
21. The microgrid system of claim 1 , wherein the microgrid controller adjusts the output frequency of the inverter to achieve a desired state of charge profile for the BESS.
22. The microgrid system of claim 1 , wherein the microgrid controller continuously processes a reference data stream and a feedback data stream to compute a desired active power dispatch for the inverter to either charge, discharge, or level the energy or charge level of the BESS.
23. The microgrid system of claim 1 , wherein the control algorithm function includes an error detection threshold set to detect a measurement error based upon deviation from a reconstruction model of stored energy in the BESS.
24. The microgrid system of claim 1 , wherein the microgrid controller comprises a Phasor Measurement Unit to provide real-time updates on the electrical properties and real/reactive power flow of the microgrid and compensates for unanticipated real/reactive power fluctuations in real time by switching the BESS between storage and delivery.
25. The microgrid system of claim 1 , wherein the microgrid controller comprises a Phasor Measurement Unit to provide real-time updates on the electrical properties and real/reactive power flow of the microgrid and a decoupling filter achieve the decoupling of real and reactive power flow at a coupling of the microgrid to a main grid.