# US 10,320,190 B2 · Load profile selection in adaptive dynamic islanding using batteries > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,320,190 B2 - Document ID: US10320190B2 - Status: Granted - Kind: B2 - Application number: 15/014,515 - Filed: 2016-02-03 - Published: 2017-08-03 - Granted: 2019-06-11 - Earliest claimed: 2016-02-03 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Anamitra R. Choudhury; Sampath Dechu - Web page: https://patentgrep.com/patent/US10320190B2 ## CPC - H02J 3/00: Circuit arrangements for AC mains or AC distribution networks - H02J 3/34: Arrangements for transfer of electric power between networks of substantially different frequency - H02J 3/38: Arrangements for feeding a single network from two or more generators or sources in parallel; Arrangements for feeding already energised networks from additional generators or sources in parallel - H02J 9/06: with automatic change-over {, e.g. UPS systems} - G05B 2219/2639: Energy management, use maximum of cheap power, keep peak load low - H02J 3/388: Arrangements for the handling of islanding, e.g. for disconnection or for avoiding the disconnection of power - H02J 2103/30: Simulating, planning, modelling, reliability check or computer assisted design [CAD] of electric power networks - Y02E 60/00: Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation - 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 - G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G) - 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 Methods, systems, and computer program products for load profile selection in islanding using batteries are provided herein. A computer-implemented method includes generating a usage pattern model for a battery based on (i) information pertaining to consumers of the battery, (ii) information pertaining to usage of the battery, and (iii) information pertaining to network outages, wherein the network is linked to the battery; selecting a subset of the consumers of the battery to supply energy from the battery, during a network outage, based on (i) the usage pattern model, (ii) the lifespan of the battery, (iii) performance of the network, (iv) historical consumption data attributed to each of the consumers, and (v) a predetermined minimum amount of energy required to be supplied to the consumers during a network outage; and outputting instructions to activate and/or deactivate distribution components within the network based on said selecting. ## Claims ### Claim 1 A computer-implemented method, comprising: generating a usage pattern model for a battery based on (i) one or more items of information pertaining to multiple consumers of the battery, (ii) one or more items of information pertaining to usage of the battery, and (iii) one or more items of information pertaining to one or more network outages, wherein the network is linked to the battery; selecting a subset of the multiple consumers of the battery, to supply energy from the battery during a network outage, based on (i) the generated usage pattern model for the battery, (ii) a metric pertaining to the lifespan of the battery, (iii) a metric pertaining to performance of the network, (iv) historical consumption data attributed to each of the multiple consumers, and (v) a predetermined minimum amount of energy required to be supplied to the multiple consumers during a network outage; and outputting instructions, based on the selected subset of consumers, to at least one of (i) activate multiple distribution components within the network and (ii) deactivate multiple distribution components within the network; wherein the steps are carried out by at least one computing device. ### Claim 2 (depends on 1) The computer-implemented method of claim 1, wherein the one or more items of information pertaining to multiple consumers of the battery comprises identification of a location of each of the multiple consumers. ### Claim 3 (depends on 1) The computer-implemented method of claim 1, wherein said generating the usage pattern model for a battery is further based on one or more bounds for energy usage for each of the multiple consumers derived from historical usage data attributed to each of the multiple consumers. ### Claim 4 (depends on 1) The computer-implemented method of claim 1, wherein the one or more items of information pertaining to usage of the battery comprises historical usage data of the battery. ### Claim 5 (depends on 1) The computer-implemented method of claim 1, wherein the one or more items of information pertaining to usage of the battery comprises manufacturer data pertaining to one or more characteristics of the battery. ### Claim 6 (depends on 1) The computer-implemented method of claim 1, wherein the one or more items of information pertaining to one or more network outages comprises a duration measure for each of the one or more network outages. ### Claim 7 (depends on 1) The computer-implemented method of claim 1, wherein the one or more items of information pertaining to one or more network outages comprises a frequency measure for each of the one or more network outages. ### Claim 8 (depends on 1) The computer-implemented method of claim 1, wherein the metric pertaining to performance of the network comprises a system average interruption frequency index. ### Claim 9 (depends on 1) The computer-implemented method of claim 1, wherein the metric pertaining to performance of the network comprises a system average interruption duration index. ### Claim 10 (depends on 1) The computer-implemented method of claim 1, wherein the metric pertaining to the lifespan of the battery comprises a number of charging and discharging cycles of the battery. ### Claim 11 (depends on 1) The computer-implemented method of claim 1, comprising: outputting one or more discharge profiles pertaining to the battery. ### Claim 12 A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a device to cause the device to: generate a usage pattern model for a battery based on (i) one or more items of information pertaining to multiple consumers of the battery, (ii) one or more items of information pertaining to usage of the battery, and (iii) one or more items of information pertaining to one or more network outages, wherein the network is linked to the battery; select a subset of the multiple consumers of the battery, to supply energy from the battery during a network outage, based on (i) the generated usage pattern model for the battery, (ii) a metric pertaining to the lifespan of the battery, (iii) a metric pertaining to performance of the network, (iv) historical consumption data attributed to each of the multiple consumers, and (v) a predetermined minimum amount of energy required to be supplied to the multiple consumers during a network outage; and output instructions, based on the selected subset of consumers, to at least one of (i) activate multiple distribution components within the network and (ii) deactivate multiple distribution components within the network. ### Claim 13 (depends on 12) The computer program product of claim 12, wherein the metric pertaining to performance of the network comprises a system average interruption frequency index. ### Claim 14 (depends on 12) The computer program product of claim 12, wherein the metric pertaining to performance of the network comprises a system average interruption duration index. ### Claim 15 (depends on 12) The computer program product of claim 12, wherein the metric pertaining to the lifespan of the battery comprises a number of charging and discharging cycles of the battery. ### Claim 16 (depends on 12) The computer program product of claim 12, wherein the program instructions executable by a computing device further cause the computing device to: output one or more discharge profiles pertaining to the battery. ### Claim 17 (depends on 12) The computer program product of claim 12, wherein the one or more items of information pertaining to one or more network outages comprises a duration measure for each of the one or more network outages. ### Claim 18 (depends on 12) The computer program product of claim 12, wherein the one or more items of information pertaining to one or more network outages comprises a frequency measure for each of the one or more network outages. ### Claim 19 A system comprising: a memory; and at least one processor coupled to the memory and configured for: generating a usage pattern model for a battery based on (i) one or more items of information pertaining to multiple consumers of the battery, (ii) one or more items of information pertaining to usage of the battery, and (iii) one or more items of information pertaining to one or more network outages, wherein the network is linked to the battery; selecting a subset of the multiple consumers of the battery, to supply energy from the battery during a network outage, based on (i) the generated usage pattern model for the battery, (ii) a metric pertaining to the lifespan of the battery, (iii) a metric pertaining to performance of the network, (iv) historical consumption data attributed to each of the multiple consumers, and (v) a predetermined minimum amount of energy required to be supplied to the multiple consumers during a network outage; and outputting instructions, based on the selected subset of consumers, to at least one of (i) activate multiple distribution components within the network and (ii) deactivate multiple distribution components within the network. ### Claim 20 A computer-implemented method, comprising: generating a usage pattern model for each of multiple batteries connected to a power grid based on (i) one or more items of information pertaining to multiple consumers of the power grid, (ii) one or more items of information pertaining to usage of the battery, and (iii) one or more items of information pertaining to one or more power grid outages; selecting a subset of the multiple consumers of the battery, to supply energy from the battery during a network outage, based on (i) the generated usage pattern model for each of multiple batteries, (ii) historical consumption data attributed to each of the multiple consumers, (iii) a predetermined minimum amount of energy required to be supplied to the multiple consumers during a network outage, and (iv) at least one of (a) a metric that maximizes the lifespan of the battery, (b) a metric that maximizes the number of the consumers to be supplied energy, and (c) a metric that minimizes the number of power supply interruptions for the multiple consumers; and outputting instructions, to a metering infrastructure component within the power grid and based on the selected subset of consumers, to at least one of (i) activate multiple meters within the network (ii) deactivate multiple meters within the network; wherein the steps are carried out by at least one computing device.