Resilient decision systems and methods
Disclosed are systems and methods for utilizing a unique elastic command and control architecture to incorporate certain resiliency qualities in power grid management and outage mitigation.
1. A method for adjusting an operating electrical grid, comprising:
(i) executing a compressed decision path comprising:
receiving a state input from an electrical grid device;
providing the state input to a heuristic model trained on historical data from the operating electrical grid to generate a heuristic vote;
providing the state input to a Lower Ambiguity, Higher Uncertainty (LAHU) model to generate a Lower Ambiguity, Higher Uncertainty (LAHU) vote;
combining the heuristic vote and the Lower Ambiguity, Higher Uncertainty (LAHU) vote to generate a compressed decision vote;
(ii) executing an uncompressed decision path comprising:
receiving a series input of operational state data from the electrical grid device and a non-operational or situational awareness input;
providing the series input of operational state data to a historical baseline model to generate a historical vote;
providing the series input of operational state data and the non-operational or situational awareness input to a Higher Ambiguity, Lower Uncertainty (HALU) model to generate a Higher Ambiguity, Lower Uncertainty (HALU) vote;
combining the historical vote and the Higher Ambiguity, Lower Uncertainty (HALU vote to generate an uncompressed decision vote;
(iii) selecting a decision output from among the uncompressed decision vote or the compressed decision vote based on available decision cycle time; and
(iv) adjusting an apparatus in the electrical grid to implement the decision output.
2. The method of claim 1 , comprising sending a command containing the decision output through a communication network to the apparatus.
3. The method of claim 1 , wherein the compressed decision path comprises evaluating the compressed decision vote by comparison to the historical vote.
4. The method of claim 1 , wherein the uncompressed decision output is selected as the decision output, comprising evaluating the decision output by comparison to the compressed decision vote.
5. The method of claim 4 , comprising updating the historical baseline model based on the series input of operational data.
6. The method of claim 4 , comprising updating the heuristic model based on the series input of operational data and the state input.
7. The method of claim 1 , wherein combining the historical vote and the Higher Ambiguity, Lower Uncertainty (HALU) vote to generate the uncompressed decision vote comprises applying a voting algorithm.
8. The method of claim 7 , wherein the voting algorithm employs a comparator threshold.
9. The method of claim 7 , wherein the voting algorithm considers the compressed decision vote.
10. The method of claim 8 , wherein the voting algorithm considers the compressed decision vote.
11. The method of claim 1 , wherein combining the heuristic vote and the Lower Ambiguity, Higher Uncertainty (LAHU) vote to generate the compressed decision vote comprises comparing to the historical vote.
12. The method of claim 1 , comprising, after adjusting the apparatus, receiving a second series input of operational data and updating the historical baseline model based on the second series input of operational data.
13. The method of claim 1 , comprising, after adjusting the apparatus, receiving a second state input and updating the heuristic model based on the second state input.
14. The method of claim 1 , wherein the non-operational or situation awareness input comprises phasor measurement unit (PMU) data.
15. The method of claim 1 , wherein the non-operational or situation awareness input comprises digital fault recorder (DFR) data.
16. The method of claim 1 , wherein the non-operational or situation awareness input comprises meter data.
17. The method of claim 1 , wherein the historical data from the operating electrical grid comprises phasor measurement unit (PMU) data.
18. The method of claim 1 , wherein the historical data from the operating electrical grid comprises digital fault recorder (DFR) data.
19. The method of claim 1 , wherein the historical data from the operating electrical grid comprises meter data.
20. The method of claim 1 , wherein the historical data from the operating electrical grid includes a prior state input from the electrical grid device.