SG11201900917SA - Distributed resource electrical demand forecasting system and method - Google Patents

Distributed resource electrical demand forecasting system and method

Info

Publication number
SG11201900917SA
SG11201900917SA SG11201900917SA SG11201900917SA SG11201900917SA SG 11201900917S A SG11201900917S A SG 11201900917SA SG 11201900917S A SG11201900917S A SG 11201900917SA SG 11201900917S A SG11201900917S A SG 11201900917SA SG 11201900917S A SG11201900917S A SG 11201900917SA
Authority
SG
Singapore
Prior art keywords
international
systems
pct
applicant
rule
Prior art date
Application number
SG11201900917SA
Inventor
James Frasher
Original Assignee
Zeco Systems Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zeco Systems Inc filed Critical Zeco Systems Inc
Publication of SG11201900917SA publication Critical patent/SG11201900917SA/en

Links

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • 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
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

1 71- O GC O 1-1 O (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 08 February 2018 (08.02.2018) WIP0 I PCT ~~ll~~~~~~~~ 011101010VIIIOH olo omolom iniolioo Immo ow (10) International Publication Number WO 2018/026964 Al (51) International Patent Classification: H02J 3/38 (2006.01) (21) International Application Number: PCT/US2017/045177 (22) International Filing Date: 02 August 2017 (02.08.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/370,515 03 August 2016 (03.08.2016) US (71) Applicant: ZECO SYSTEMS INC. [US/US]; 7083 Hol- lywood Blvd., Los Angeles, California 90028 (US). (72) Inventor: FRASHER, James; 511 N. Minnesota Avenue, Glendora, California 91741 (US). (74) Agent: QUIST, Brooke W. et al.; Seed Intellectual Proper- ty Law Group LLP, Suite 5400, 701 Fifth Avenue, Seattle, Washington 98104-7064 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, (54) Title: DISTRIBUTED RESOURCE ELECTRICAL DEMAND FORECASTING SYSTEM AND METHOD FIG. 1 (57) : A method is disclosed to predict demand pricing events and forecast changes in price based on data collected from a distributed network of control systems and sensors. In one embodiment, the method uses a distributed network of systems and sensors to collect and monitor data that may be used to predict and preempt electrical grid demand events including black outs and brown outs. Through real-time analysis of data such as voltage, frequency, power, temperature from the distributed systems, and the condition of an electrical grid at a specific Sub-Load Aggregation Point (Sub-LAP) are modeled and determine the value of stored energy, energy generation, and load curtailment in advance of market signals. [Continued on next page] WO 2018/026964 Al IMEDIMOM0101011MOHIONEE11IBMINHIMEMOIMIE MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Declarations under Rule 4.17: as to applicant's entitlement to apply for and be granted a patent (Rule 4.17(11)) as to the applicant's entitlement to claim the priority of the earlier application (Rule 4.17(iii)) Published: — with international search report (Art. 21(3))
SG11201900917SA 2016-08-03 2017-08-02 Distributed resource electrical demand forecasting system and method SG11201900917SA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201662370515P 2016-08-03 2016-08-03
PCT/US2017/045177 WO2018026964A1 (en) 2016-08-03 2017-08-02 Distributed resource electrical demand forecasting system and method

Publications (1)

Publication Number Publication Date
SG11201900917SA true SG11201900917SA (en) 2019-02-27

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201900917SA SG11201900917SA (en) 2016-08-03 2017-08-02 Distributed resource electrical demand forecasting system and method

Country Status (7)

Country Link
US (1) US20180048150A1 (en)
EP (1) EP3494624B1 (en)
CN (1) CN110073567B (en)
CA (1) CA3032409C (en)
ES (1) ES2948116T3 (en)
SG (1) SG11201900917SA (en)
WO (1) WO2018026964A1 (en)

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US11025089B2 (en) 2018-11-13 2021-06-01 Siemens Aktiengesellschaft Distributed energy resource management system
CN110896219B (en) * 2019-11-20 2020-10-30 乐清市泰博恒电子科技有限公司 Power network processing system and method based on big data and database
KR20210101081A (en) * 2020-02-07 2021-08-18 삼성전자주식회사 Electronic device for controlling process and method thereof
CN113887776A (en) * 2020-07-03 2022-01-04 绿铜科技公司 System and method for predicting power system by using deep neural network
CN112330090B (en) * 2020-09-25 2022-09-23 江苏方天电力技术有限公司 Low-voltage distribution network data driving service method
CN112132638B (en) * 2020-10-22 2024-04-09 云南电网有限责任公司电力科学研究院 Energy storage internet pricing system and method
CN112737119B (en) * 2020-12-26 2023-07-04 广东电网有限责任公司电力调度控制中心 Method and system for power grid operation data constraint processing
US20230094216A1 (en) * 2021-09-28 2023-03-30 Ford Global Technologies, Llc Systems and methods for providing preemptive vehicle reenergizing alerts
CN114217574A (en) * 2021-10-12 2022-03-22 国网河北省电力有限公司正定县供电分公司 Energy grid construction system and method based on energy and load matching
CN116298482B (en) * 2023-05-25 2023-08-01 常州满旺半导体科技有限公司 Intelligent early warning system and method for voltage data monitoring
CN118017545B (en) * 2024-02-21 2024-09-24 华能山东发电有限公司烟台发电厂 Power grid frequency modulation optimization method and system based on deep learning and control theory

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WO2011121815A1 (en) * 2010-03-29 2011-10-06 株式会社日立製作所 Energy management system, energy management apparatus, and energy management method
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Also Published As

Publication number Publication date
CA3032409C (en) 2023-11-07
EP3494624C0 (en) 2023-06-07
EP3494624A1 (en) 2019-06-12
CN110073567A (en) 2019-07-30
EP3494624A4 (en) 2020-02-12
WO2018026964A1 (en) 2018-02-08
EP3494624B1 (en) 2023-06-07
US20180048150A1 (en) 2018-02-15
CN110073567B (en) 2023-08-15
ES2948116T3 (en) 2023-08-31
CA3032409A1 (en) 2018-02-08

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