# US 10,873,188 B2 · Dynamic hosting capacity system and method for DER integration and management on distribution utility networks > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,873,188 B2 - Document ID: US10873188B2 - Status: Granted - Kind: B2 - Application number: 16/180,554 - Filed: 2018-11-05 - Published: 2019-05-09 - Granted: 2020-12-22 - Earliest claimed: 2017-11-03 - Assignees: Opus One Solutions Energy Corp. - Applicants: Opus One Solutions Energy Corporation - Inventors: Joshua Wong; Gerhard Walker - Web page: https://patentgrep.com/patent/US10873188B2 ## CPC - H02J 3/381: {Dispersed generators} - G06N 5/01: Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound - G06N 7/01: Probabilistic graphical models, e.g. probabilistic networks - G06N 7/08: using chaos models or non-linear system models - G06Q 50/06: Energy or water supply - H02J 3/003: {Load forecast, e.g. methods or systems for forecasting future load demand} - H02J 3/466: Scheduling or selectively controlling the operation of the generators or sources, e.g. connecting or disconnecting generators to meet a demand - H02J 3/14: by switching loads on to, or off from, the networks, e.g. progressively balanced loading - H02J 7/32: for charging batteries from a charging set comprising a non-electric prime mover {rotating at constant speed} - H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks - H02J 2105/12: supplying households or buildings - Y02B 70/3225: Demand response systems, e.g. load shedding, peak shaving - Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation - Y04S 20/222: Demand response systems, e.g. load shedding, peak shaving - Y04S 40/20: Information technology specific aspects, e.g. CAD, simulation, modelling, system security - H02J: ELECTRIC POWER NETWORKS; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - Y02B: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION - Y04S: SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS ## Abstract A distributed energy resource management system utilizes capacity on a distribution grid to host further distributed energy resource interconnections. In an embodiment, the system utilizes a data store including operational values associated with distributed electric resources on an electric power distribution network and a processor or processors coupled to the data store and in communication with the distributed electric resources. The computer processors are programmed, upon receiving one or more requests, to create 3-phase AC power flows for each location across the electric power distribution network. Optimizations of the 3-phase AC power flows to are used to calculate hosting capacity for each of the locations, for each of a plurality of time intervals, and each of a plurality of types of distributed energy resource, as a dynamic quantity that can change depending on time, day, season, and location. The hosting capacity is translated into calculated operational values which are used to determine and send a direction to actively manage distributed energy resources on the electric power distribution network. ## Claims ### Claim 1 A distributed energy resource management system that utilizes capacity on a distribution grid to host further distributed energy resource interconnections, comprising: a) a data store including a plurality of operational values associated with a plurality of distributed electric resources on an electric power distribution network; and b) one or more computer processors coupled to the data store and in communication with the plurality of distributed electric resources on said electric power distribution network, the one or more computer processors being programmed, upon receiving one or more requests, to: i) create 3-phase AC power flows for each of a plurality of locations across said electric power distribution network, wherein said step of creating 3-phase AC power flows utilizes per phase: voltages, currents, real power, reactive power, and, power factor; and, ii) use optimizations of the 3-phase AC power flows to calculate hosting capacity for each of the plurality of locations across said electric power distribution network, for each of a plurality of time intervals, and each of a plurality of types of distributed energy resource, as a dynamic quantity that can change depending on time, day, season, and location; iii) translate the calculated dynamic hosting capacity into at least one calculated operational value; iv) store said at least one calculated operational value in the data store; and v) read said calculated operational value from the data store and use the calculated operational value to determine and send a direction to actively manage a plurality of distributed energy resources on said electric power distribution network. ### Claim 2 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of creating 3-phase AC power flows utilizes per phase: real loss, reactive losses, asset utilization, and load duration curves. ### Claim 3 (depends on 1) The distributed energy resource management system according to claim 1, wherein said hosting capacity comprises hosting capacity of a feeder on the electric power distribution network. ### Claim 4 (depends on 1) The distributed energy resource management system according to claim 1, wherein said hosting capacity comprises hosting capacity of a substation on the electric power distribution network. ### Claim 5 (depends on 1) The distributed energy resource management system according to claim 1, wherein said data store receives and stores sensor telemetry, and wherein said processor configured to create 3-phase AC power flows comprises a processor configured to use sensor telemetry to create said 3-phase AC power flows. ### Claim 6 (depends on 5) The distributed energy resource management system according to claim 5, wherein said data store further receives and stores a utility network model, and wherein said processor configured to create 3-phase AC power flows comprises a processor configured to use said sensor telemetry and said utility network model to create said 3-phase AC power flows. ### Claim 7 (depends on 5) The distributed energy resource management system according to claim 5, wherein said sensor telemetry comprises SCADA telemetry. ### Claim 8 (depends on 1) The distributed energy resource management system according to claim 1, wherein said hosting capacity comprises hosting capacity of a node on the electric power distribution network. ### Claim 9 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of determining and sending direction comprises sending commands to said distributed energy resources in response to an interconnection request from a specific distributed electric resource. ### Claim 10 (depends on 1) The distributed energy resource management system according to claim 1, wherein said data store comprises a real-time relational database. ### Claim 11 (depends on 1) The distributed energy resource management system according to claim 1, wherein said processor configured to create 3-phase AC power flows comprises a processor configured to use a real-time distribution system state estimation engine. ### Claim 12 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of using the 3-phase AC power flow to calculate hosting capacity comprises performing a scenario analysis. ### Claim 13 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of using the 3-phase AC power flow to calculate hosting capacity comprises calculating a security constraint AC Power Flow. ### Claim 14 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of using the 3-phase AC power flow to calculate hosting capacity comprises performing a multi-constraint optimization. ### Claim 15 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of using the 3-phase AC power flow to calculate hosting capacity comprises using the 3-phase AC power flow in a stochastic and probabilistic engine. ### Claim 16 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of using the 3-phase AC power flow to calculate hosting capacity comprises using the 3-phase AC power flow in a quasi-static time series. ### Claim 17 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises available hosting capacity per node. ### Claim 18 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises available hosting capacity per node and distributed electric resource type. ### Claim 19 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises available hosting capacity for each of a plurality of time intervals. ### Claim 20 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises available hosting capacity for each location on the distribution grid, each of a plurality of time intervals, and each of a plurality of types of distributed electric resource asset. ### Claim 21 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises a location resolved hosting capacity. ### Claim 22 (depends on 1) The distributed energy resource management system according to claim 1, further comprising a step of using the calculated dynamic hosting capacity to determine a schedule for dispatch of distributed energy resources on the electric power distribution network. ### Claim 23 (depends on 1) The distributed energy resource management system according to claim 1, wherein the step of calculating hosting capacity comprises calculating residual load capacity of a feeder or grid segment using historical data. ### Claim 24 (depends on 1) The distributed energy resource management system according to claim 1, wherein the step of calculating hosting capacity comprises calculating residual load capacity of a feeder or grid segment using forecast data. ### Claim 25 (depends on 1) The distributed energy resource management system according to claim 1, wherein said step of calculating hosting capacity comprises calculating residual load capacity of a feeder or grid segment using real-time situational awareness data. ### Claim 26 (depends on 1) The distributed energy resource management system according to claim 1, wherein said calculated dynamic hosting capacity comprises available hosting capacity per phase and distributed electric resource type. ### Claim 27 (depends on 1) The distributed energy resource management system according to claim 1, wherein said 3-phase AC power flows comprise 3-phase AC optimal power flows.