US 11,798,104 B2
System and methods for continuous optimization and real-time control of multiple energy assets
Anastasios Rousis, London (GB); and Dimitrios Tzelepis, Glasgow (GB)
Assigned to SMART POWER NETWORKS LTD, London (GB)
Appl. No. 18/245,487
Filed by SMART POWER NETWORKS LTD, London (GB)
PCT Filed Jun. 29, 2021, PCT No. PCT/IB2021/055800
§ 371(c)(1), (2) Date Mar. 15, 2023,
PCT Pub. No. WO2022/058803, PCT Pub. Date Mar. 24, 2022.
Claims priority of application No. 2014887 (GB), filed on Sep. 21, 2020.
Prior Publication US 2023/0260058 A1, Aug. 17, 2023
Int. Cl. G06Q 50/06 (2012.01); H02J 3/38 (2006.01); H02J 3/00 (2006.01)
CPC G06Q 50/06 (2013.01) [H02J 3/004 (2020.01); H02J 3/381 (2013.01); H02J 2203/10 (2020.01); H02J 2203/20 (2020.01)] 12 Claims
OG exemplary drawing
 
1. A system for continuous optimization and real-time control of multiple energy assets utilized by a plurality of nodes in a distributed energy network having different energy sources, wherein the multiple energy assets comprise electric power, heat and transport, the system comprising:
a plurality of control devices, with each of the plurality of control devices associated with one of the multiple energy assets in one of the plurality of nodes, each of the plurality of control devices is configured to determine and communicate a status information of the associated energy asset in the corresponding node, and to control settings and set triggers for the associated energy asset for regulating utilization thereof by the corresponding node; and
a software module configured to:
receive status information, from the plurality of control devices, for each of the multiple energy assets for each of the nodes via the plurality of control devices;
construct a network topology for the distributed energy network providing correlation between the multiple energy assets based on the received status information;
collect data, including forecast information, for each of the multiple energy assets in the distributed energy network;
formulate a constrained optimization problem based on the constructed network topology and the collected data;
compute a solution to the formulated constrained optimization problem to determine one or more of settings, control commands and triggers for the associated energy asset, for the plurality of control devices, in the corresponding node to provide integration and optimization of the multiple energy sources and multiple energy assets in the distributed energy network; and
determine unified control loops, indicative of real-time, dynamic operating characteristics of the distributed energy network for the multiple energy assets, to be executed by the plurality of control devices therein.