WO2023230356A1 - Sélection d'emplacement de charge d'un véhicule électrique entrant pour une grande infrastructure de dépôt de ve - Google Patents

Sélection d'emplacement de charge d'un véhicule électrique entrant pour une grande infrastructure de dépôt de ve Download PDF

Info

Publication number
WO2023230356A1
WO2023230356A1 PCT/US2023/023752 US2023023752W WO2023230356A1 WO 2023230356 A1 WO2023230356 A1 WO 2023230356A1 US 2023023752 W US2023023752 W US 2023023752W WO 2023230356 A1 WO2023230356 A1 WO 2023230356A1
Authority
WO
WIPO (PCT)
Prior art keywords
charging
flexible load
nodes
load
distribution network
Prior art date
Application number
PCT/US2023/023752
Other languages
English (en)
Inventor
Faeza Hafiz
Dmitry ISHCHENKO
Pablo ALMALECK
Original Assignee
Hitachi Energy Usa 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
Priority claimed from US17/826,432 external-priority patent/US20230382260A1/en
Application filed by Hitachi Energy Usa Inc. filed Critical Hitachi Energy Usa Inc.
Publication of WO2023230356A1 publication Critical patent/WO2023230356A1/fr

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
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/67—Controlling two or more charging stations
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/68—Off-site monitoring or control, e.g. remote control
    • 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
    • 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
    • H02J3/381—Dispersed generators
    • 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
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
    • 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
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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]
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • 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
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations

Definitions

  • the embodiments described herein are generally directed to energy management systems, and, more particularly, to the selection of a charging location for a flexible load, such as an electric vehicle (EV), within a charging infrastructure, such as an EV depot.
  • a flexible load such as an electric vehicle (EV)
  • EV electric vehicle
  • An EV depot may include a distribution network comprising multiple EV charging stations, auxiliary loads, and distributed energy resources (DERs), including energy storage.
  • Each EV charging station comprises one or a plurality of chargers configured to deliver electricity to connected electric vehicles (e.g., buses, automobiles, utility trucks, etc.).
  • the distribution network may be managed by an energy management system (EMS), which is generally configured to reduce the costs of electricity consumption.
  • EMS energy management system
  • the distribution network should maintain a certain level of voltage and current, in order to avoid violations of applicable grid code(s). Such violations may impact the connected loads, as well as the stability of the grid to which the distribution network is connected. The likelihood of a violation increases when distributed energy resources are integrated into the EV depot.
  • the energy management system generally prefers to utilize maximum power generation from the renewable energy resources, since renewable energy resources have a lower unit cost.
  • renewable energy resources e.g., a solar power generator, wind power generator, geothermal power generator, hydroelectric power generator, fuel cell, etc.
  • the energy management system generally prefers to utilize maximum power generation from the renewable energy resources, since renewable energy resources have a lower unit cost.
  • the probability of violations, such as over-voltage, in the distribution network also increases.
  • the probability of violations such as under- voltage, in the distribution network, also increases.
  • systems, methods, and non-transitory computer-readable media are disclosed for a new approach to the selection of a charging location for a flexible load within a charging infrastructure.
  • An objective of embodiments is to select a charging location for a flexible load within a load distribution network based on the charging schedule of the flexible load.
  • a further objective of embodiments is to use load flow analysis, during selection of the charging location, to reduce the likelihood of a voltage violation during charging of the flexible load.
  • Another objective of embodiments is to account for the capacity of charging stations during the selection of the charging location.
  • a method comprises using at least one hardware processor to, for at least one flexible load to be charged in a distribution network comprising a plurality of nodes, wherein each of the plurality of nodes comprises one or more charging stations: determine a charging time period associated with the flexible load; execute a load flow analysis on a model of the distribution network, based on a power schedule for existing loads to be charged in the distribution network during the charging time period; based on a result of the load flow' analysis, determine a charging station at one of the plurality of nodes within the distribution network at which to charge the flexible load; and schedule the flexible load to be charged at the determined charging station during the charging time period.
  • the method may further comprise using the at least one hardware processor to control the determined charging station during the charging time period to output power to the flexible load.
  • the flexible load may be an electric vehicle, and the distribution network may comprise a charging depot for electric vehicles.
  • the result of the load flow analysis may comprise an indication of whether or not a voltage violation will occur.
  • the voltage violation may be a violation of a grid code that defines voltage requirements that the distribution network must satisfy.
  • the method may further comprise using the at least one hardware processor to, when the result of the load flow analysis indicates that a violation will occur, exclude any of the plurality of nodes, at which the violation wall occur, from the determination of the charging station at which to charge the flexible load.
  • the violation may comprise an under-voltage.
  • Determining the charging time period may comprise: receiving a schedule associated with the flexible load; and deriving the charging time period from the schedule associated with the flexible load.
  • the flexible load may be an electric vehicle
  • the distribution network may comprise a charging depot for electric vehicles, wherein the schedule associated with the electric vehicle comprises a time by which the electric vehicle is scheduled to depart from the charging depot.
  • the distribution network may comprise one or more distributed energy resources, wherein determining the charging station at which to charge the flexible load comprises, in each of one or more iterations, until determining that a violation will not occur, selecting one of the plurality’ of nodes at which to charge the flexible load, wherein a different one of the plurality of nodes is selected in each iteration: executing an economic dispatch for the distribution network; executing the load flow' analysis on the model of the distribution network, based on the power schedule for existing loads to be charged in the distribution network during the charging time period and charging of the flexible load at the selected node; and determining whether or not the violation will occur based on the load flow? analysis.
  • the violation may comprise an under-voltage at the selected node.
  • the power schedule may comprise setpoints for one or more of the plurality of nodes in the distribution network, and the load flow' analysis may be performed for each of the setpoints in the power schedule.
  • the one or more distributed energy resources may comprise one or more of a photovoltaic power generator, a wind power generator, a fuel cell, a thermal power plant, a hydroelectric power plant, a gasoline-powered generator, or a battery.
  • FIG. 1 illustrates an example infrastructure, in which one or more of the processes described herein, may be implemented, according to an embodiment
  • FIG. 2 illustrates an example processing system, by which one or more of the processes described herein, may be executed, according to an embodiment
  • FIG. 3 illustrates an example distribution network, according to an embodiment
  • FIG. 4 illustrates a process for selecting a charging location for a flexible load within a distribution network, according to an embodiment.
  • systems, methods, and non-transitory computer-readable media are disclosed for selecting a charging location for a flexible load, such as an electric vehicle, within a charging infrastructure, such as an EV depot.
  • a flexible load refers to any load that requires occasional charging (e.g., of an on-board battery) and is capable of being charged at any of a plurality of different locations within the distribution network of a charging infrastructure.
  • a flexible load may require charging according to a flexible or inflexible schedule.
  • the term “flexible load” implies flexibility in charging location, rather than flexibility in scheduling or any other characteristic.
  • the flexible load will be an electric vehicle and the charging infrastructure will be an EV depot
  • the disclosed approach is not limited to electric vehicles in EV depots. Rather, the disclosed approach may be applied to any flexible load within any type of distribution network.
  • Alternative examples of flexible loads include, without limitation, drones, robotic systems, mobile devices, mobile machines, power tools, and the like, and a single charging infrastructure may be configured to charge one or a plurality of types of flexible loads.
  • the term “distribution network” refers to the interconnection of electrical components within the charging infrastructure (e.g., EV depot) that distribute power to the flexible loads.
  • These electrical components primarily include distributed energy resources and charging stati ons, which can be thought of as the “nodes” of the distribution network, and electrical connections, winch can be thought of as the “edges” connecting nodes witinn the distribution network.
  • the disclosed approach may be based on the voltage ranges of nodes within the distribution network, the charging schedules of the flexible loads, the capacities of the charging stations, the energy management of existing distributed energy resources in the distribution network, and/or the like, to thereby prevent or reduce the violation of applicable grid code(s).
  • FIG. 1 illustrates an example infrastructure in which one or more of the disclosed processes may be implemented, according to an embodiment.
  • the infrastructure may comprise an energy management system (EMS) 110 (e.g., comprising one or more servers) which hosts and/or executes one or more of the various functions, processes, methods, and/or software modules described herein.
  • EMS 110 may comprise dedicated servers, or may instead be implemented in a computing cloud, in which the resources of one or more servers are dynamically and elastically allocated to multiple tenants based on demand. In either case, the servers may be collocated and/or geographically distributed.
  • EMS 110 may also comprise or be communicatively connected to software 112 and/or one or more databases 114.
  • EMS 110 may be communicatively connected to one or more user systems 130 and/or charging infrastructures 140 (e.g., EV depots) via one or more networks 120.
  • charging infrastructures 140 e.g., EV depots
  • Network(s) 120 may comprise the Internet, and EMS 110 may communicate with user system(s) 130 and/or charging infrastructure(s) 140 through the Internet using standard transmission protocols, such as HyperText Transfer Protocol (HTTP), HTTP Secure (HTTPS), File Transfer Protocol (FTP), FTP Secure (FTPS), Secure Shell FTP (SFTP), extensible Messaging and Presence Protocol (XMPP), Open Field Message Bus (OpenFMB), IEEE Smart Energy Profile Application Protocol (IEEE 2030.5), and the like, as well as proprietary protocols.
  • HTTP HyperText Transfer Protocol
  • HTTPS HTTP Secure
  • FTP Secure FTP Secure
  • SFTP Secure Shell FTP
  • XMPP extensible Messaging and Presence Protocol
  • OpenFMB Open Field Message Bus
  • IEEE 2030.5 IEEE Smart Energy Profile Application Protocol
  • EMS 110 may be connected to a subset of user systems 130 and/or charging infrastructures 140 via the Internet, but may be connected to one or more other user systems 130 and/or charging infrastructures 140 via an intranet.
  • EMS 110 may be connected to a subset of user systems 130 and/or charging infrastructures 140 via the Internet, but may be connected to one or more other user systems 130 and/or charging infrastructures 140 via an intranet.
  • the infrastructure may comprise any number of user systems, charging infrastructures, software instances, and databases.
  • User system(s) 130 may comprise any type or types of computing devices capable of wired and/or wireless communication, including without limitation, desktop computers, laptop computers, tablet computers, smart phones or other mobile phones, servers, game consoles, televisions, set-top boxes, electronic kiosks, point-of-sale terminals, embedded controllers, programmable logic controllers (PLCs), and/or the like. However, it is generally contemplated that user system(s) 130 would comprise personal computers, mobile devices, or workstations by which agents of an operator of a charging infrastructure 140 can interact with EMS 110.
  • PLCs programmable logic controllers
  • These interactions may comprise inputting data (e.g., parameters for configuring one or more of the processes described herein) and/or receiving data (e.g,, the outputs of one or more processes described herein) via a graphical user interface provided by EMS 110 or a system between EMS 110 and user system(s) 130.
  • data e.g., parameters for configuring one or more of the processes described herein
  • receiving data e.g, the outputs of one or more processes described herein
  • the graphical user interface may comprise screens (e.g., webpages) that include a combination of content and elements, such as text, images, videos, animations, references (e.g., hyperlinks), frames, inputs (e.g., textboxes, text areas, checkboxes, radio buttons, drop-down menus, buttons, forms, etc.), scripts (e.g., JavaScript), and the like, including elements comprising or derived from data stored in one or more databases (e.g., databases) 114).
  • screens e.g., webpages
  • elements such as text, images, videos, animations, references (e.g., hyperlinks), frames, inputs (e.g., textboxes, text areas, checkboxes, radio buttons, drop-down menus, buttons, forms, etc.), scripts (e.g., JavaScript), and the like, including elements comprising or derived from data stored in one or more databases (e.g., databases) 114).
  • databases e.g., databases
  • EMS 110 may execute software 112, comprising one or more software modules that implement one or more of the disclosed processes.
  • EMS 110 may comprise, be communicatively coupled with, or otherwise have access to one or more database(s) 114 that store the data input into and/or output from one or more of the disclosed processes.
  • database(s) 114 Any suitable database may be utilized, including without limitation MySQLTM, OracleTM, IBMTM, Microsoft SQLTM, AccessTM, PostgreSQLTM, and the like, including cloud-based databases, proprietary databases, and unstructured databases.
  • FIG. 2 is a block diagram illustrating an example wired or wireless system 200 that may be used in connection with various embodiments described herein.
  • system 200 may be used as or in conjunction with one or more of the functions, processes, or methods (e.g., to store and/or execute software 112) described herein, and may represent components of EMS 110, user system(s) 130, charging mfrastructure(s) 140, and/or other processing devices described herein.
  • System 200 can be a server or any conventional personal computer, or any other processor- enabled device that is capable of wared or wareless data communication.
  • Other computer systems and/or architectures may be also used, as wall be clear to those skilled in the art.
  • System 200 preferably includes one or more processors 210.
  • Processor(s) 210 may comprise a central processing unit (CPU). Additional processors may be provided, such as a graphics processing unit (GPU), an auxiliary processor to manage mput/output, an auxiliary processor to perform floating-point mathematical operations, a special-purpose microprocessor having an architecture suitable for fast execution of signal-processing algorithms (e.g., digitalsignal processor), a processor subordinate to the mam processing system (e.g., back-end processor), an additional microprocessor or controller for dual or multiple processor systems, and/or a coprocessor.
  • GPU graphics processing unit
  • auxiliary processor to manage mput/output
  • auxiliary processor to perform floating-point mathematical operations
  • a special-purpose microprocessor having an architecture suitable for fast execution of signal-processing algorithms (e.g., digitalsignal processor), a processor subordinate to the mam processing system (e.g., back-end processor), an additional microprocessor or controller for dual or multiple processor systems,
  • auxiliary processors may be discrete processors or may be integrated with processor 210,
  • processors which may be used with system 200 include, without limitation, any of the processors (e.g., PentiumTM, Core 17TM, XeonTM, etc.) available from Intel Corporation of Santa Clara, California, any of the processors available from Advanced Micro Devices, Incorporated (AMD) of Santa Clara, California, any of the processors (e.g., A series, M series, etc.) available from Apple Inc. of Cupertino, any of the processors (e.g,, ExynosTM) available from Samsung Electronics Co., Ltd., of Seoul, South Korea, and/or the like.
  • processors e.g., PentiumTM, Core 17TM, XeonTM, etc.
  • AMD Advanced Micro Devices, Incorporated
  • any of the processors e.g., A series, M series, etc.
  • Apple Inc. Apple Inc. of Cupertino
  • any of the processors
  • Processor 210 is preferably connected to a communication bus 205.
  • Communication bus 205 may include a data channel for facilitating information transfer between storage and other peripheral components of system 200.
  • communication bus 205 may provide a set of signals used for communication with processor 210, including a data bus, address bus, and/or control bus (not shown).
  • Communication bus 205 may comprise any standard or non-standard bus architecture such as, for example, bus architectures compliant with industry standard architecture (ISA), extended industry standard architecture (EISA), Micro Channel Architecture (MCA), peripheral component interconnect (PCI) local bus, standards promulgated by the Institute of Electrical and Electronics Engineers (IEEE) including IEEE 488 general-purpose interface bus (GPIB), IEEE 696/S-l 00, and/or the like.
  • ISA industry standard architecture
  • EISA extended industry standard architecture
  • MCA Micro Channel Architecture
  • PCI peripheral component interconnect
  • System 200 preferably includes a main memory 215 and may also include a secondary memory 220.
  • Mam memory 215 provides storage of instructions and data for programs executing on processor 210, such as one or more of the functions and/or modules discussed herein (e.g., software 112). It should be understood that programs stored in the memory and executed by processor 210 may be written and/or compiled according to any suitable language, including without limitation C/C++, Java, JavaScript, Perl, Visual Basic, .NET, and the like.
  • Main memory 215 is typically semi conductor- based memory such as dynamic random access memory’ (DRAM) and/or static random access memory’ (SRAM).
  • DRAM dynamic random access memory
  • SRAM static random access memory
  • Other semiconductor-based memory types include, for example, synchronous dynamic random access memory’ (SDRAM), Rambus dynamic random access memory (RDRAM), ferroelectric random access memory’ (FRAM), and the like, including read only memory (ROM).
  • Secondary memory 220 may optionally include an internal medium 225 and/or a removable medium 230.
  • Removable medium 230 is read from and/or writen to in any well-known manner.
  • Removable storage medium 230 may be, for example, a magnetic tape drive, a compact disc (CD) drive, a digital versatile disc (DVD) drive, other optical drive, a flash memory’ drive, and/or the like.
  • Secondary memory 220 is a non-transitory computer-readable medium having computer-executable code (e.g., software 112) and/or other data stored thereon. The computer software or data stored on secondary memory 220 is read into mam memory 215 for execution byprocessor 210.
  • secondary memory 220 may include other similar means for allowing computer programs or other data or instructions to be loaded into system 200. Such means may include, for example, a communication interface 240, which allows software and data to be transferred from external storage medium 245 to system 200. Examples of external storage medium 245 may include an external hard disk drive, an external optical drive, an external magneto-optical drive, and/or the like. Other examples of secondary memory 220 may include semiconductor-based memory, such as programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable read-only memory (EEPROM), and flash memory (block-oriented memory similar to EEPROM).
  • PROM programmable read-only memory
  • EPROM erasable programmable read-only memory
  • EEPROM electrically erasable read-only memory
  • flash memory block-oriented memory similar to EEPROM
  • system 200 may include a communication interface 240.
  • Communication interface 240 allows software and data to be transferred between system 200 and external devices (e.g. printers), networks, or other information sources.
  • external devices e.g. printers
  • computer software or executable code may be transferred to system 200 from a network server (e.g., platform 110) via communication interface 240.
  • Examples of communication interface 240 include a built- in network adapter, network interface card (NIC), Personal Computer Memory Card International Association (PCMCIA) network card, card bus network adapter, wireless network adapter, Universal Serial Bus (USB) network adapter, modem, a wireless data card, a communications port, an infrared interface, an IEEE 1394 fire- wire, and any other device capable of interfacing system 200 with a network (e.g., network(s) 120) or another computing device.
  • NIC network interface card
  • PCMCIA Personal Computer Memory Card International Association
  • USB Universal Serial Bus
  • Communication interface 240 preferably implements industry-promulgated protocol standards, such as Ethernet IEEE 802 standards, Fiber Channel, digital subscriber line (DSL), asynchronous digital subscriber line (ADSL), frame relay, asynchronous transfer mode (ATM), integrated digital services network (ISDN), personal communications services (PCS), transmission control protocol/Intemet protocol (TCP/IP), serial line Internet protocol/ point to point protocol (SLIP/PPP), and so on, but may also implement customized or non-standard interface protocols as well.
  • industry-promulgated protocol standards such as Ethernet IEEE 802 standards, Fiber Channel, digital subscriber line (DSL), asynchronous digital subscriber line (ADSL), frame relay, asynchronous transfer mode (ATM), integrated digital services network (ISDN), personal communications services (PCS), transmission control protocol/Intemet protocol (TCP/IP), serial line Internet protocol/ point to point protocol (SLIP/PPP), and so on, but may also implement customized or non-standard interface protocols as well.
  • Communication channel 250 may be a wired or wireless network (e.g., network(s) 120), or any variety of other communication links.
  • Communication channel 250 carries signals 255 and can be implemented using a variety of wired or wireless communication means including wire or cable, fiber optics, conventional phone line, cellular phone link, wireless data, communication link, radio frequency (“RF”) link, or infrared link, just to name a few.
  • RF radio frequency
  • Computer-executable code (e.g., computer programs, such as software 112) is stored in mam memory 215 and/or secondary memory 220. Computer programs can also be received via communication interface 240 and stored in mam memory 215 and/or secondary memory 220. Such computer programs, when executed, enable system 200 to perform the various functions of the disclosed embodiments as described elsewhere herein.
  • computer-readable medium is used to refer to any non- transitory computer-readable storage media used to provide computer-executable code and/or other data to or within system 200.
  • non-transitory computer-readable media are means for providing executable code, programming instructions, software, and/or other data to system 200.
  • the software may be stored on a computer-readable medium and loaded into system 200 by way of removable medium 230, I/O interface 235, or communication interface 240.
  • the software is loaded into system 200 in the form of electrical communication signals 255.
  • the software when executed by processor 210, preferably causes processor 210 to perform one or more of the processes and functions described elsewhere herein.
  • I/O interface 235 provides an interface between one or more components of system 200 and one or more input and/or output devices.
  • Example input devices include, without limitation, sensors, keyboards, touch screens or other touch-sensitive devices, cameras, biometric sensing devices, computer mice, trackballs, pen-based pointing devices, and/or the like.
  • Examples of output devices include, without limitation, other processing devices, cathode ray tubes (CRTs), plasma displays, light-emitting diode (LED) displays, liquid crystal displays (LCDs), printers, vacuum fluorescent displays (VFDs), surface-conduction electron-emitter displays (SEDs), field emission displays (FEDs), and/or the like.
  • an input and output device may be combined, such as in the case of a touch panel display (e.g., in a smartphone, tablet, or other mobile device).
  • System 200 may also include optional wireless communication components that facilitate wireless communication over a voice network and/or a data network (e.g., in the case of user system 130 that is a smart phone or other mobile device).
  • the wireless communication components comprise an antenna system 270, a radio system 265, and a baseband system 260.
  • radio frequency (RE) signals are transmitted and received over the air by antenna system 270 under the management of radio system 265.
  • antenna system 270 may comprise one or more antennae and one or more multiplexors (not shown) that perform a switching function to provide antenna system 270 with transmit and receive signal paths.
  • received RF signals can be coupled from a multiplexor to a low noise amplifier (not shown) that amplifies the received RF signal and sends the amplified signal to radio system 265.
  • radio system 265 may comprise one or more radios that are configured to communicate over various frequencies.
  • radio system 265 may combine a demodulator (not shown) and modulator (not shown) in one integrated circuit (IC). The demodulator and modulator can also be separate components. In the incoming path, the demodulator strips away the RF’ carrier signal leaving a baseband receive audio signal, which is sent from radio system 265 to baseband system 260.
  • baseband system 260 decodes the signal and converts it to an analog signal. Then the signal is amplified and sent to a speaker. Baseband system 260 also receives analog audio signals from a microphone. These analog audio signals are converted to digital signals and encoded by baseband system 260, Baseband system 260 also encodes the digital signals for transmission and generates a baseband transmit audio signal that is routed to the modulator portion of radio system 265.
  • the modulator mixes the baseband transmit audio signal with an RF carrier signal, generating an RF transmit signal that is routed to antenna system 270 and may pass through a power amplifier (not shown).
  • the power amplifier amplifies the RF transmit signal and routes it to antenna system 270, where the signal is switched to the antenna port for transmission,
  • Baseband system 260 is also communicatively coupled with processor(s) 210.
  • Processor(s) 210 may have access to data storage areas 215 and 220.
  • Processor(s) 210 are preferably configured to execute instructions (i.e., computer programs, such as the disclosed software) that can be stored in mam memory 215 or secondary memory 220.
  • Computer programs can also be received from baseband processor 260 and stored in main memory 210 or in secondary memory 220, or executed upon receipt. Such computer programs, when executed, enable system 200 to perform the various functions of the disclosed embodiments.
  • FIG. 3 illustrates a one-line diagram of an example distribution network of an example charging infrastructure 140, according to an embodiment.
  • charging infrastructure 140 may be an EV depot for charging electric vehicles as the flexible loads.
  • Charging infrastructure 140 is connected to a power grid 310, from which electricity may be purchased.
  • the purchase cost of electricity may vary throughout each day (e.g., higher during the day than at night) and across days (e.g., higher on summer days than winter days), according to a time-of-use (ToU) rate.
  • the ToU rate may assign peak rates, partial-peak rates, and off-peak rates to various time periods (e.g., each hourly interval in a day), representing the cost of electricity during those time periods.
  • Charging infrastructure 140 may comprise one or a plurality of distributed energy resources, including, for example, one or a plurality of battery energy storage (BES) systems 320 and/or one or a plurality of power generators 330, illustrated as power generators 33OA and 330B.
  • Power generator(s) 330 may comprise renewable energy resources (e.g., solar power generator, wind power generator, geothermal power generator, hydroelectric power generator, fuel cell, etc.) and/or non-renewable energy resources (e.g., diesel generator, natural gas generator, etc.).
  • renewable energy resources e.g., solar power generator, wind power generator, geothermal power generator, hydroelectric power generator, fuel cell, etc.
  • non-renewable energy resources e.g., diesel generator, natural gas generator, etc.
  • power generator 330A may be a solar power generator comprising a plurality of photovoltaic cells that convert sunlight into electricity
  • power generator 330B may be a diesel generator that burns diesel gasoline to produce electricity.
  • Charging infrastructure 140 also comprises a distribution network comprising a plurality of nodes, and potentially one or more auxiliary loads.
  • Each node may comprise or consist of a charging station 340, illustrated as charging stations 340A, 340B, 340C, 340D, 340E, 340F, and 340G.
  • Each charging station 340 may comprise one or a plurality of chargers 342.
  • charging station 340F is illustrated with two chargers 342.
  • Each charger 342 is configured to be electrically connected to a flexible load 350, so as to supply electricity to one or more batteries of the flexible load 350.
  • a charging station 340 and/or charger 342 may comprise a processing system 200 that receives commands from a controller (e.g., EMS 110) via communication interface 240, processes the commands using processor 210 and mam memory 215, and controls an actuator (e.g., one or more switches) to swatch the power supply on or off according to the processed commands.
  • a controller e.g., EMS 110
  • an actuator e.g., one or more switches
  • each BES system 320 can function as both a power source (i.e., when discharging) and a load (i.e., when charging).
  • Parameters (e.g., voltage, current, etc.) of each node within the distribution network of charging infrastructure 140 may be monitored by EMS 110 and/or simulated by EMS 110 (e.g., during a load flow analysis).
  • EMS 110 may monitor and/or simulate parameters of nodes within the distribution network, and control one or more components of charging infrastructure, such as charging station(s) 340, charger(s) 342, power generator(s) 330, BES system(s) 320, and/or the like, based on those parameters. This control may be performed periodically or in real time.
  • One or more charging stations 340 may comprise one or a plurality of chargers 342 that are capable of significantly faster charging relative to other chargers 342.
  • There are a number of mechanisms for implementing fast charging primarily centered around increasing wattage by increasing current and/or voltage in the electrical connection.
  • fast charging or “fast-charging” refers to charging that is comparatively fast relative to overall (e.g., average) charging in charging infrastructure 140
  • slow charging or “slow- charging” refers to charging that is comparatively slow relative to overall charging in charging infrastructure 140.
  • a “fast charger” is a charger 342 that is capable of fast charging
  • a “slow charger” is a charger 342 that is not capable of fast charging.
  • EMS 110 may maintain a record (e.g., in database 114) of which charging stations 340 and/or chargers 342 of each charging infrastructure 140 are capable of fast-charging.
  • a record e.g., in database 114 of which charging stations 340 and/or chargers 342 of each charging infrastructure 140 are capable of fast-charging.
  • One or more of the disclosed processes may utilize this record to determine which charging stations 340 and/or chargers 342 are fast charging, when selecting a charging location for a flexible load 350 which may need fast charging.
  • the described processes may be implemented as a hardware component (e.g., general-purpose processor, integrated circuit (IC), application-specific integrated circuit (ASIC), digital signal processor (DSP), field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, etc.), combination of hardware components, or combination of hardware and software components.
  • a hardware component e.g., general-purpose processor, integrated circuit (IC), application-specific integrated circuit (ASIC), digital signal processor (DSP), field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, etc.
  • IC integrated circuit
  • ASIC application-specific integrated circuit
  • DSP digital signal processor
  • FPGA field-programmable gate array
  • FIG. 4 illustrates a process 400 for selecting a charging location for a flexible load 350 (e.g., electric vehicle) within the distribution network of a charging infrastructure 140 (e.g,, EV depot), according to an embodiment.
  • Process 400 may be implemented as software 112, executed by one or more processors 210 of EMS 110. While process 400 is illustrated with a certain arrangement and ordering of subprocesses, process 400 may be implemented with fewer, more, or different subprocesses and a different arrangement and/or ordering of subprocesses. For example, process 400 may omit any one or more of the illustrated subprocesses, so as to comprise or consist of any subset of the illustrated subprocesses. In addition, any subprocess, which does not depend on the completion of another subprocess, may be executed before, after, or in parallel with that other independent subprocess, even if the subprocesses are described or illustrated in a particular order.
  • Process 400 may be executed as incoming flexible loads 350 need to be scheduled for charging. Thus, initially, in subprocess 405, process 400 awaits a request to schedule charging for a new incoming flexible load 350. This request may be received from another process (e.g., within the same EMS 110) or another system that manages the schedules or routes of flexible loads 350, a manual input via a graphical user interface (e.g., provided by EMS 110 or by flexible load 350), the flexible load 350 itself (e.g., a navigational system within and tracking the current route of an electric vehicle as flexible load 350), and/or the like.
  • another process e.g., within the same EMS 110
  • a system that manages the schedules or routes of flexible loads 350 e.g., a manual input via a graphical user interface (e.g., provided by EMS 110 or by flexible load 350), the flexible load 350 itself (e.g., a navigational system within and tracking the current route of an electric vehicle as flexible load 350), and/or the like.
  • process 400 may be executed periodically (e.g., every fifteen minutes) on a batch of new incoming flexible loads 350, to be scheduled for charging, that have accumulated since the last execution of process 400. In either case, as long as there is no new incoming flexible load 350 (i.e., “No” in subprocess 405), process 400 may continue to wait. When there is a new incoming flexible load 350 (i.e., “Yes” in subprocess 405), process 400 may proceed to subprocess 410.
  • a charging time period in which flexible load 350 is to be charged, may be determined from the schedule of the new incoming flexible load 350.
  • This schedule may be received in the request in subprocess 405, stored in a database (e.g., 114) that is accessible to the system implementing process 400 (e.g., accessible to EMS 110), and/or retrieved from another system (e.g., via an API provided by that other system)
  • the charging time period may be determined as the time period between the scheduled arrival of the new incoming flexible load 350 and the scheduled departure of the new incoming flexible load 350, or a portion of this time period (e.g., accounting for a buffer time period before and after charging).
  • subprocess 410 may check the schedule of the new' incoming flexible load 350, including the scheduled arrival time of the flexible load 350 at charging infrastructure 140 and the scheduled departure time of the flexible load 350 from charging infrastructure 140, and determine, as the charging time period, the time period available to charge flexible load 350 prior to its scheduled departure.
  • subprocess 410 may also account for other considerations, such as whether the departure time is flexible (in which case, it may be moved back to increase the charging time period) or inflexible (in which case, it cannot be moved back, such that the charging time period is fixed), the charge level that the flexible load 350 will need by its departure (e.g., based on how far or long the flexible load 350 will need to travel before its next charge, as determined from its schedule), the expected charge level that the flexible load 350 will have at its arrival (e.g., based on its current charge level and remaining route), an expected delay between the arrival of the flexible load 350 and the start of charging, variability in the scheduled arrival time of the flexible load 350, and/or the like.
  • the departure time is flexible (in which case, it may be moved back to increase the charging time period) or inflexible (in which case, it cannot be moved back, such that the charging time period is fixed)
  • the charge level that the flexible load 350 will need by its departure e.g., based on how far or long the flexible load 350 will need
  • a load flow analysis is performed on an existing power schedule for distributed energy resources within charging infrastructure 140, given an existing charging schedule, to identify any violations (e.g., voltage violations, such as an over-voltage or undervoltage, current violations, etc.) during a relevant time period that comprises or consists of the charging time period determined in subprocess 410.
  • the existing power schedule and/or charging schedule may be stored in a database (e.g., 114) that is accessible to the system implementing process 400 (e.g., accessible to EMS 110) and/or retrieved from another system (e.g., via an application programming interface (API) provided by that other system).
  • API application programming interface
  • the distribution network of charging infrastructure 140 may be modeled by a distribution-network model that represents each node in the distribution network.
  • a distribution-network model that represents each node in the distribution network.
  • an IEEE 13 bus system may be used for the distribution-network model.
  • the load flow analysis may simulate the power schedule on the distribution-network model, during the relevant time period, to determine whether any nodes in the distribution network produce a violation during the simulation.
  • the power schedule may comprise setpoints for the nodes in the distribution network, and the load flow' analysis may be performed for each of the setpoints in the pow'er schedule during the relevant time period.
  • load flow analysis determines the operating steady state of each node in the distribution network for a given loading (e.g., derived from the charging schedule) in the power schedule during the relevant time period.
  • the steady state of each node may be represented as a set of parameters, such as voltage, phase angle, real power, reactive power, and/or the like.
  • Load flow' analysis may solve for one or more of these parameters (e.g., voltage and phase angle) at each node in the distribution network, as represented in the distribution-network model, using a set of simultaneous algebraic power equations for the nodes in the distribution network, based on the real power and reactive power setpoints.
  • process 400 determines whether or not the result of the load flow analysis, applied in subprocess 415, comprises or indicates any violations. For example, an overvoltage violation may occur when the voltage in the steady state of a node exceeds a predefined threshold. Similarly, an under-voltage violation may occur when the voltage in the steady state of a node is less than a predefined threshold. Violations of other parameters, such as current, may be detected in a similar manner (e.g., using predefined thresholds). These predefined threshold(s) may be defined by a grid code, such as the IEEE 1547 standard for interconnection and interoperability of distributed energy resources with associated electric power sy stems.
  • the IEEE 1547 defines an operating region for continuous voltage operation for its Abnormal Operating Performance Category III as having a low'er bound of 0.88 per unit and an upper bound of 1.1 per unit. Thus, if IEEE 1547 is used for the grid code, a voltage above 1.1 per unit at a node would be determined as an over-voltage violation, and a voltage below 0.88 per unit at a node would be determined as an under- voltage violation. If any violation is detected (i.e., “Yes” in subprocess 420), process 400 proceeds to subprocess 425. Otherwise, if no violations are detected (i.e., “No” in subprocess 420), process 400 proceeds to subprocess 445.
  • subprocess 420 may determine only whether or not the result of the load flow analysis comprises a particular violation, such as an under-voltage, while ignoring other types of violations, such as an over-voltage.
  • any nodes, at which a particular violation occurred during the load flow analysis in subprocess 415, as detected in subprocess 420, may be discarded from consideration.
  • each node in the load flow analysis represents a particular charging station 340.
  • the only particular violation, for which nodes are discarded in subprocess 425 is an under-voltage at the charging station 340.
  • nodes at which an over-voltage occur are not discarded in subprocess 425.
  • nodes may be discarded based on any violation of a. grid code that indicates that a node may not be a suitable charging location for the new incoming flexible load 350.
  • process 400 may initialize a list with all available nodes (i.e., charging stations 340). This list may represent all available nodes from which the charging location for the new incoming flexible load 350 may be selected. In subprocess 425, nodes for which a violation occurred during the load flow analysis in subprocess 415, may be removed from this list, thereby preventing them from being selected as the charging location for the new incoming flexible load 350. In other words, only those nodes remaining in the list wall be considered in s ubsequent subprocesses, and all other nodes will be excluded from the determination of a charging location for the new incoming flexible load 350.
  • process 400 determines whether the new incoming flexible load 350 requires fast charging. If the charging time period, determined in subprocess 410, is too short for the new' incoming flexible load 350 to be charged to a required level with slow charging, subprocess 430 may determine that the new 7 incoming flexible load 350 requires fast charging. Otherwise, if the charging time period, determined in subprocess 410, is sufficient for the new incoming flexible load 350 to be charged to the required level with slow charging, subprocess 430 may determine that the new incoming flexible load 350 does not require fast charging.
  • subprocess 430 may determine that fast charging is required (i.e., “Yes” in subprocess 430) and proceed to subprocess 435. Otherwise, if the charging time period satisfies (e.g., is greater than or equal to) the predefined threshold, subprocess 430 may determine that fast charging is not required (i.e., “No” in subprocess 430, indicating that slow' charging is sufficient) and proceed to subprocess 445.
  • process 400 determines whether any fast chargers are available.
  • the charging schedule may indicate which chargers 342 are being used (from which the unused chargers 342 may be derived) and/or which chargers 342 are not being used.
  • subprocess 435 may analyze the charging schedule to determine whether there are any unused fast chargers 342 (i.e., that are capable of fast charging) available during a sufficient time period, within the charging time period, to charge the new incoming flexible load 350 to a sufficient charge level prior to its departure. If such a fast charger is available (i.e., “Yes” in subprocess 435), process 400 may proceed to subprocess 440. Otherwise, if such a fast charger is not available (i.e., “No” in subprocess 435), process 400 may proceed to subprocess 445.
  • any nodes which do not have an available fast charger, as determined as a requirement in subprocess 435, may be discarded from consideration. For example, in an implementation using a list of available nodes, those nodes without such a fast charger may be removed from the list, thereby preventing them from being selected as the charging location for the new' incoming flexible load 350. In other w'ords, nodes that do not have fast chargers available will be excluded from the determination of the charging location for the new incoming flexible load 350.
  • subprocess 445 the node with a comparatively high voltage, during the preceding load flow analysis, among remaining nodes under consideration, may be selected as the charging location for the new incoming flexible load 350.
  • the remaining nodes under consideration would be those remaining in the list at the time that subprocess 445 is executed.
  • subprocess 445 selects the node with the highest voltage, during the most recent load flow analysis, among remaining nodes under consideration.
  • subprocess 445 may select the node with the highest voltage, during the most recent load flow analysis, among nodes that satisfy one or more other criteria (e.g., connector type, sufficient space to accommodate flexible load 350, etc.).
  • a node having a higher voltage during the load flow analysis generally means that the node is servicing less load than a node having a lower voltage during the load flow analysis.
  • charging the new incoming flexible load 350 at the node with the higher voltage wall minimize the likelihood of an under-voltage violation in the distribution network of charging infrastructure 140.
  • an economic dispatch is executed for the relevant time period, comprising or consisting of the charging time period, based on the charging schedule, modified by the addition of the new incoming flexible load 350 being charged at the scheduled time and at the node selected in subprocess 445.
  • the economic dispatch may be implemented as a software application that is integrated into the software implementing the other subprocesses of process 400.
  • the economic dispatch may be implemented as a software application that is separate from the software implementing one or more other subprocesses of process 400 and provides its output (e.g., to subprocess 455) via an API.
  • the modified charging schedule may be pushed through an API of the software implementing subprocess 450, or alternatively, may be pulled through an API by the software implementing subprocess 450.
  • Economic dispatch refers to the allocation of electricity demand from loads (e.g., flexible loads 350) to distributed energy resources (e.g., BES systems 320 and/or power generators 330), in order to achieve the most economical usage of electricity.
  • loads e.g., flexible loads 350
  • distributed energy resources e.g., BES systems 320 and/or power generators 330
  • an economic dispatch is formulated as an optimization problem in which the objective is to minimize the purchase cost of electricity from grid 310.
  • the basic idea is to prioritize the use of distributed energy resources with low'er marginal costs over the use of distributed energy resources with higher marginal costs and grid 310.
  • the economic dispatch is performed for the relevant time period that includes the charging time period of the new ? incoming flexible load 350 based on a charging schedule that covers at least the relevant time period and includes charging the new incoming flexible load 350 at the scheduled time and at the node selected in subprocess 445.
  • the charging schedule may comprise, for each of one or a plurality of flexible loads 350 to be charged within the relevant time period, a location (e.g., node/charging station 340 and/or charger 342), a time at which charging of the flexible load 350 is scheduled to begin, a duration over which the flexible load 350 is scheduled to be charged, an amount of charge to be supplied to the flexible load 350 and/or a charge level to which the flexible load 350 is to be charged (e.g., to have sufficient charge to complete a scheduled route), a time by which the flexible load 350 must be charged (e.g., to complete the route as scheduled), and/or the like.
  • the charging schedule may be updated periodically (e.g., every fifteen minutes) to reflect the current or expected status of each flexible load 350.
  • the charging schedule may comprise a schedule for more than one time period to be considered (e.g., all future time periods for which charging has been scheduled), as long as it includes the schedule for the relevant time period during which the new incoming flexible load 350 is to be charged.
  • the economic dispatch in subprocess 450 may generate a power schedule that specifies the power to be output from each of the distributed energy resource(s) (e.g., BES systems 310 and/or power generators 330) in charging infrastructure 140 during the relevant time period under consideration, in order to satisfy flexible loads 350 in the charging schedule for the relevant time period under consideration, including charging of the new incoming flexible load 350 at the node selected in subprocess 445, while minimizing the cost of electricity during the relevant time period under consideration.
  • the distributed energy resource(s) e.g., BES systems 310 and/or power generators 330
  • the power schedule may comprise, for each distributed energy resource to be used during the relevant time period under consideration, an identity of the distributed energy resource, a time span during which the distributed energy resource is scheduled to output power (e.g., discharged from a BES system 320 or generated by a power generator 330), an amount of power to be output by the distributed energy resource, one or more setpoints of the distributed energy resource, and/or the like.
  • the economic dispatch may consider equality constraints (e.g., power balance, state of charge balance of flexible loads 350, etc.) and inequality constraints (e.g., maintaining loads at a certain value at the point of common coupling, maintaining threshold levels of the state of charge of flexible loads 350, preconditioning flexible loads 350, availability of flexible loads 350, etc.).
  • subprocess 455 a load flow analysis is performed on the power schedule that has been produced by the economic dispatch in subprocess 450, given the charging schedule, as modified with the charging of the new incoming flexible load 350 at the node selected in subprocess 445, for the relevant time period, comprising or consisting of the charging time period determined in subprocess 410.
  • the load flow'- analysis in subprocess 455 may be similar or identical to the load flow analysis in subprocess 415, except that the charging schedule has been modified to account for the charging of the new incoming flexible load 350 at the node selected in subprocess 445, and the power schedule has been updated by the economic dispatch in subprocess 450.
  • any description of the load flow analysis with respect to subprocess 415 applies equally to the load flow analysis in subprocess 455.
  • process 400 determines whether or not the result of the load flow analysis, applied in subprocess 455, comprises or indicates a particular violation at the node selected as the charging location for the new incoming flexible load 350 in subprocess 445.
  • subprocess 460 may determine whether or not an under-voltage occurred at the selected node during the load flow analysis.
  • An under-voltage at the selected node may indicate that the selected node is not suitable to charge the new' incoming flexible load 350 during the scheduled time.
  • no under-voltage at the selected node may indicate that the selected node is suitable to charge the new incoming flexible load 350 during the scheduled time.
  • process 400 proceeds to subprocess 465. Otherwise, if the particular violation is not detected at the selected node (i.e., “No” in subprocess 460), process 400 proceeds to subprocess 470. It should be understood that a violation may be detected (i.e., “Yes” in subprocess 460) when the result of the load flow analysis comprises an under-voltage violation or otherwise indicates that an undervoltage will occur at the selected node, whereas no violations may be detected (i.e., “No” in subprocess 460) when the result of the load flow analysis does not comprise an under-voltage violation or otherwise indicate that an under-voltage violation wall occur at the selected node.
  • any violation of a grid code that indicates that the selected node may not be a suitable charging location for the new' incoming flexible load 350 may be detected in subprocess 460.
  • the selected node, which faces the particular violation (e.g., undervoltage) as determined in subprocess 460 is discarded from consideration. For example, in an implementation using a list of available nodes, the node, selected in the preceding iteration of subprocess 445, may be removed from the list, thereby preventing that node from being selected again as the charging location for the new' incoming flexible load 350. In other words, the node will be excluded from the determination of the charging location for the new incoming flexible load 350. Thus, process 400 may return to subprocess 445 to select a different available node.
  • Process 400 may address such a scenario by initiating an exception handling process or other mechanism.
  • an exception handling process may modify the existing charging schedule to move loads 350 with flexible charging times to different charging times in order to free up charging stations 340 during the charging time period for the new' incoming flexible load 350, move flexible load 350 that are scheduled for a fast charger, but do not need fast charging, to a slow charger in order to free up a fast charger for the new incoming flexible load 350, reroute the new' incoming flexible load 350 or another flexible load 350 in the charging schedule to another charging infrastructure 140 (e.g., under management of the same EMS 110), relax the requirement of fast charging for the new' incoming flexible load 350 (i.e., if fast charging would otherwise be determined as required in subprocess 430), select a node with the least likelihood of an under-voltage violation for the new' incoming flexible load 350 in the event that the load flow analysis
  • subprocess 470 once a node has been selected that does not produce any violations detected by the load flow analysis in subprocess 455, charging of the new incoming flexible load 350 at the node selected in the most recent iteration of subprocess 445 is added to the existing charging schedule.
  • This final charging schedule may be used to schedule the various loads, including flexible load 350, within the relevant time period.
  • the final power schedule, output by the most recent iteration of the economic dispatch in subprocess 450 may be used for scheduling power output by distributed energy resources (e.g., BEM system(s) 320, power generator(s) 330, etc.) during the relevant time period.
  • the final charging schedule and/or the final pow'er schedule may be used to inform control decisions during the relevant time period.
  • the final charging schedule is used to route flexible loads 350.
  • an EMS 110 or another system may generate textual, visual, and/or navigational commands to route an electric vehicle, as the flexible load 350, to the scheduled EV depot, as the charging infrastructure 140, the scheduled charging station 340 and/or charger 342 within the EV depot 140, and/or other scheduled destination.
  • the commands may be provided to a console within the electric vehicle to display visual aids that guide a driver of the electric vehicle to the scheduled destination.
  • navigational commands may be provided to a control system (e.g., electronic control unit (ECU)) of the electric vehicle or drone to automatically guide the autonomous electric vehicle or drone to the scheduled destination.
  • ECU electronice control unit
  • the final power schedule may be used by EMS 110 or another system to generate control commands for one or more BES systems 320, power generators 330, charging stations 340, and/or other electrical components of charging infrastructure 140.
  • EMS 110 may generate a control command and send the control command, via network(s) 120, to the relevant electric component in charging infrastructure 140, which may then execute the received control command.
  • EMS 110 may send a control command to a distributed energy resource (e.g., BES system 320, power generator 330, etc.) to thereby control the distributed energy resource to generate and/or output power during one or more scheduled time periods and not output power outside of the one or more scheduled time periods.
  • EMS 110 may send a control command to a charging station 340 to thereby control the charging station 340 to output power to a connected flexible load 350 during one or more scheduled time periods and not output power outside of the one or more scheduled time periods.
  • Charging infrastructure 140 may comprise an EV depot for charging a fleet of electric vehicles (e.g., operated by a municipal mass transit system, utility company, trucking company, construction company, taxi company, waste management company, etc.), personal electric vehicles, and/or the like, as flexible loads 350.
  • a municipal mass transit system such as a bus depot
  • each electric bus has a. route that it must service according to a. route schedule.
  • each electric bus must be charged to at least a sufficient level of charge to complete its scheduled route and must leave the EV depot by a certain time in order to comply with the route schedule.
  • the disclosed embodiments may be applied to a microgrid comprising one charging infrastructure 140 or a system of two or more distinct charging infrastructures 140.
  • a single EMS 110 may manage the power and charging schedules for a plurality of charging infrastructures 140 (e.g., operated by the same operator).
  • the charging schedule may encompass charging at charging stations 340 across the plurality of charging infrastructures 140
  • the power schedule may encompass power generation in the distributed energy resources across the plurality of charging infrastructures 140.
  • the available nodes to be considered by process 400 for the charging location of the new incoming flexible load 350 may include nodes across the two or more charging infrastructures 140.
  • the disclosed embodiments may select a charging location for an incoming flexible load 350, within one or more charging infrastructures 140, while accounting for voltage ranges of nodes within the distribution network (e.g., in subprocesses 415-425, 445, and 455-465), the charging schedules of flexible loads 350 (e.g., in subprocess 430), the capacity of charging stations 340 (e.g., in subprocesses 435-445), the energy management of distributed energy resources in the distribution network (e.g., in subprocesses 415, 450, and 455), and/or the like.
  • accounting for one or more of these factors helps a charging infrastructure 140 avoid violations of the applicable grid code by maintaining voltage and/or current levels within acceptable limits. In turn, this enables the operator of charging infrastructure 140 to avoid penalties, resulting from violations, and ensure compliance with a schedule of flexible loads 350.
  • Combinations, described herein, such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of A, B, and C,” “one or more of A, B, and C,” and “A, B, C, or any combination thereof’ include any combination of A, B, and/or C, and may include multiples of A, multiples of B, or multiples of C.
  • combinations such as “at least one of A, B, or C,” “one or more of A, B, or C,” “at least one of A, B, and C,” “one or more of A, B, and C,” and “A, B, C, or any combination thereof’ may be A only, B only, C only, A and B, A and C, B and C, or A and B and C, and any such combination may contain one or more members of its constituents
  • A, B, and/or C may comprise one A and multiple B’s, multiple A’s and one B, or multiple A’s and multiple B’s.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

Au fur et à mesure que l'utilisation de ressources d'énergie renouvelable augmente à l'intérieur d'infrastructures de charge, le risque que la charge d'une charge supplémentaire à l'intérieur de l'infrastructure de charge crée une violation du code de réseau applicable augmente également. Dans un mode de réalisation, un emplacement de charge est sélectionné pour une charge entrante sur la base d'une analyse de flux de charge pour ainsi atténuer le risque d'une violation. Ce processus de sélection peut également tenir compte du programme de charge de la charge et de la capacité de stations de charge disponibles (par exemple, une charge rapide par rapport à une charge lente).
PCT/US2023/023752 2022-05-27 2023-05-26 Sélection d'emplacement de charge d'un véhicule électrique entrant pour une grande infrastructure de dépôt de ve WO2023230356A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US17/826,432 2022-05-27
US17/826,432 US20230382260A1 (en) 2022-05-27 2022-05-27 Charging location selection of an incoming electric vehicle for large ev depot infrastructure
EP22201124.9A EP4283812A1 (fr) 2022-05-27 2022-10-12 Sélection d'emplacement de charge d'un véhicule électrique entrant pour une infrastructure de dépôt ev de grande taille
EP22201124.9 2022-10-12

Publications (1)

Publication Number Publication Date
WO2023230356A1 true WO2023230356A1 (fr) 2023-11-30

Family

ID=86861881

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2023/023752 WO2023230356A1 (fr) 2022-05-27 2023-05-26 Sélection d'emplacement de charge d'un véhicule électrique entrant pour une grande infrastructure de dépôt de ve

Country Status (1)

Country Link
WO (1) WO2023230356A1 (fr)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190184850A1 (en) * 2017-12-01 2019-06-20 California Institute Of Technology Optimization Framework and Methods for Adaptive EV Charging
US20190202315A1 (en) * 2016-05-06 2019-07-04 Audi Ag Assignment of motor vehicles to charging stations
US20200254897A1 (en) * 2019-02-08 2020-08-13 Ford Global Technologies, Llc System and method for battery-electric vehicle fleet charging
US20200376972A1 (en) * 2019-05-28 2020-12-03 GM Global Technology Operations LLC Mobile direct current fast charger customer-vehicle-station matching system
US20210086647A1 (en) * 2019-09-20 2021-03-25 AMPLY Power, Inc. Real-time electric vehicle fleet management
US20210203177A1 (en) * 2019-12-31 2021-07-01 Nio Usa, Inc. Vehicle charging scheduler
US20220009372A1 (en) * 2020-07-09 2022-01-13 Weave Grid, Inc. Optimized charging of electric vehicles over distribution grid
US20220153156A1 (en) * 2018-02-19 2022-05-19 Power Hero Corp. Methods and devices for wireless and local control of the two-way flow of electrical power between electric vehicles, between evs and electrical vehicle supply equipment(s), and between the evse(s) and the electricity grid

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190202315A1 (en) * 2016-05-06 2019-07-04 Audi Ag Assignment of motor vehicles to charging stations
US20190184850A1 (en) * 2017-12-01 2019-06-20 California Institute Of Technology Optimization Framework and Methods for Adaptive EV Charging
US20220153156A1 (en) * 2018-02-19 2022-05-19 Power Hero Corp. Methods and devices for wireless and local control of the two-way flow of electrical power between electric vehicles, between evs and electrical vehicle supply equipment(s), and between the evse(s) and the electricity grid
US20200254897A1 (en) * 2019-02-08 2020-08-13 Ford Global Technologies, Llc System and method for battery-electric vehicle fleet charging
US20200376972A1 (en) * 2019-05-28 2020-12-03 GM Global Technology Operations LLC Mobile direct current fast charger customer-vehicle-station matching system
US20210086647A1 (en) * 2019-09-20 2021-03-25 AMPLY Power, Inc. Real-time electric vehicle fleet management
US20210203177A1 (en) * 2019-12-31 2021-07-01 Nio Usa, Inc. Vehicle charging scheduler
US20220009372A1 (en) * 2020-07-09 2022-01-13 Weave Grid, Inc. Optimized charging of electric vehicles over distribution grid

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ALSHAHRANI SALEM ET AL: "Electric Vehicles Beyond Energy Storage and Modern Power Networks: Challenges and Applications", IEEE ACCESS, vol. 7, 1 August 2019 (2019-08-01), pages 99031 - 99064, XP011737965, DOI: 10.1109/ACCESS.2019.2928639 *

Similar Documents

Publication Publication Date Title
CN111439163B (zh) 控制装置以及计算机可读存储介质
CN111446729B (zh) 控制装置以及计算机可读存储介质
JP6037013B2 (ja) 充電状態管理方法、充電状態管理装置およびプログラム
CN113228453B (zh) 容量控制装置和计算机可读存储介质
CN111967804B (zh) 基于移动充电设备主动配电的调度系统
EP3016237A1 (fr) Procédé permettant de réguler la puissance de charge, système permettant de réguler la puissance de charge, et programme
KR102210084B1 (ko) 신재생 에너지 연계형 전기차 충전 스테이션의 운영 및 관리 시스템
US10103575B2 (en) Power interchange management system and power interchange management method for maintaining a balance between power supply and demand
EP3599696A1 (fr) Système de chargement, dispositif de gestion de chargement, procédé de commande et programme
US10673240B2 (en) Power control apparatus, power control method, and recording medium
US10054918B2 (en) Emulator for optimizing energy consumption management systems
US10608436B2 (en) System and method for optimal aggregation of small-scale energy storage
CN103713852A (zh) 一种信息处理方法、服务平台及电子设备
WO2021171850A1 (fr) Système et procédé de sortie d'action recommandée et programme
KR20140038622A (ko) 전력저장시스템의 충방전 분배장치 및 그 방법
EP4283812A1 (fr) Sélection d'emplacement de charge d'un véhicule électrique entrant pour une infrastructure de dépôt ev de grande taille
WO2023230356A1 (fr) Sélection d'emplacement de charge d'un véhicule électrique entrant pour une grande infrastructure de dépôt de ve
US20120323754A1 (en) Apparatus and methods for use in the sale and purchase of energy
Xie et al. Analysis of controllable capacity for electric vehicle battery swapping stations
EP4199290A1 (fr) Système de gestion de l'énergie par contraintes de réseau pour la charge et la programmation de dépôts de véhicules électriques
AU2022409596A1 (en) Network constraint energy management system for electric vehicle depot charging and scheduling
EP3696747A1 (fr) Équipement de gestion du fonctionnement de véhicules électriques
EP4371807A1 (fr) Commande optimisée de dépôts d'énergie à l'aide de systèmes de système de charge multi-locataire
Shinohara et al. Development of an integrated control system using notebook PC batteries for reducing peak power demand
EP4372641A1 (fr) Système et procédé de commande de charge de flotte de véhicules électriques ou de fonctionnement de micro-réseau prenant en compte une approche heuristique pour prolonger la durée de vie de la batterie

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 23732307

Country of ref document: EP

Kind code of ref document: A1