WO2020009649A1 - Procédé et agencement de gestion de la consommation d'énergie dans une mine - Google Patents

Procédé et agencement de gestion de la consommation d'énergie dans une mine Download PDF

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Publication number
WO2020009649A1
WO2020009649A1 PCT/SE2019/050659 SE2019050659W WO2020009649A1 WO 2020009649 A1 WO2020009649 A1 WO 2020009649A1 SE 2019050659 W SE2019050659 W SE 2019050659W WO 2020009649 A1 WO2020009649 A1 WO 2020009649A1
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WO
WIPO (PCT)
Prior art keywords
power
power consumption
local
grids
local power
Prior art date
Application number
PCT/SE2019/050659
Other languages
English (en)
Inventor
Anders Lindkvist
Martin Svensson
Erik SVEDLUND
Victor WESTERGÅRD
Original Assignee
Epiroc Rock Drills Aktiebolag
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 Epiroc Rock Drills Aktiebolag filed Critical Epiroc Rock Drills Aktiebolag
Priority to AU2019298069A priority Critical patent/AU2019298069B2/en
Priority to CA3103213A priority patent/CA3103213A1/fr
Priority to CN201980045097.9A priority patent/CN112352364A/zh
Publication of WO2020009649A1 publication Critical patent/WO2020009649A1/fr

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Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L55/00Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05FSYSTEMS FOR REGULATING ELECTRIC OR MAGNETIC VARIABLES
    • G05F1/00Automatic systems in which deviations of an electric quantity from one or more predetermined values are detected at the output of the system and fed back to a device within the system to restore the detected quantity to its predetermined value or values, i.e. retroactive systems
    • G05F1/66Regulating electric power
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/007Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F1/00Ventilation of mines or tunnels; Distribution of ventilating currents
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F13/00Transport specially adapted to underground conditions
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21FSAFETY DEVICES, TRANSPORT, FILLING-UP, RESCUE, VENTILATION, OR DRAINING IN OR OF MINES OR TUNNELS
    • E21F17/00Methods or devices for use in mines or tunnels, not covered elsewhere
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2310/00The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62The condition being non-electrical, e.g. temperature
    • H02J2310/64The condition being economic, e.g. tariff based load management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving

Definitions

  • the present disclosure relates to methods and arrangements for managing power consumption in a mine. More specifically, the present disclosure relates to method and arrangements for managing power consumption in one or more local power grids comprised in corresponding parts of a mine.
  • a number of different mining machines for mining and rock excavation e.g. face drill rigs, production drill rigs, loaders, haulers, dumpers, rock bolting rigs, cable bolting rigs and concrete spraying machines, are involved in different phases of the mining operation in the mine.
  • a power grid of a mine may comprise one or more transformer substations with grid interdependencies that may vary.
  • a first transformer substation may be considered to supply power to a main power grid, while a second or third transformer substation, connected to the first transformer substation, represent local power grids in the main power grid of the first transformer substation.
  • a specific part of the mine environment e.g., a mine gallery will comprise direct loads, e.g., mining tools or machines being electrically operated directly from the local power grid according to a planned cycle of operations, and indirect loads, e.g., battery operated mining tools or machines capable of being operated in an off-grid mode.
  • the electric grids are often on the edge of their capacity or even under dimensioned to meet the power needs of multiple, simultaneous mining operations, especially in cases where the cycles of operations imply intermittent power needs in the powergrid.
  • Such intermittent power needs may be the result of one or more mining machines performing stationary, high power operations driving one or more power tools of the respective mining machine, such as drilling, which results in high peak loads on the electrical power grid in the mine environment.
  • US 2017/0155253 A1 discloses a background art system and method for power control for an energy storage charging station, e.g., for use in a mine.
  • charging stations are configured to transfer power to a power grid at times of expected high loads or load transients, e.g., to buffer energy in energy storage devices that may be included in the charging station and to release energy from such energy storage devices during times of high load.
  • this object is achieved by a method for managing power consumption in one or more local power grids comprised in corresponding parts of a mine environment, the one or more local power grids connected to a main power grid.
  • the method comprises obtaining information regarding expected power consumption of direct loads during a predetermined cycle of operation in the one or more local power grids, wherein the direct loads comprise one or more mining consumers connected to the one or more local power grids.
  • the method also comprises obtaining information regarding power consumption of indirect loads when connected to the one or more local power grids, wherein the indirect loads comprise one or more batteries for use in respective battery operated mining machines and wherein, optionally, the indirect loads are connected through respective chargers when connected to the one or more local power grids.
  • the method further comprises predicting one or more time periods of high or low power consumption during the predetermined cycle of operation, wherein high power consumption corresponds to a power consumption above a predetermined peak power consumption indicating threshold and low power consumption corresponds to a power consumption below a predetermined surplus power indicating threshold, and scheduling a power utilization in the one or more local power grids and connected indirect loads during the predicted one or more time periods.
  • the present disclosure provides the advantage of enabling power consumption management to prevent scenarios of overload; using power utilization predictions, based on knowledge of historic power consumption for the relevant mining operations, to enable an averaged power utilization in the grid.
  • the indirect loads e.g., batteries
  • the batteries are scheduled to be charged during one or more time periods of low power consumption during the predetermined cycle of operation; during time periods of high power consumption the batteries may instead be scheduled to provide additional power in the one or more local power grids.
  • scheduling comprises determining a preferred time period for connection of indirect loads during the predicted one or more time periods.
  • the preferred time period is a time period with high power consumption, a time period with low power consumption, or a time period at a predetermined time interval from a time period with high or low power consumption.
  • the present disclosure also provides the advantage of allowing enhanced forecasting for the power provisioning in a local power grid.
  • An operator e.g., a grid operator or an operator of one or more loads, i.e., direct or indirect loads, will be able to plan connection of indirect loads to the grid, e.g., a charging connection, based on the predictions. Consequently, a prediction that a time period of high power consumption is expected within a given time interval, e.g., in two hours time, may be communicated to a mine operator to support a decision to initiate a prompt charging of an indirect load not being in imminent need of recharging.
  • the mining consumer is a mine, a part of a mine, a mine infrastructure, a mining machine or a part of a mining machine.
  • the method further comprises the step of controlling a power distribution between the one or more local power grids and connected indirect loads based on the scheduled power utilization.
  • the controlling of the power distribution comprises controlling a power flow to one or more chargers for charging respective batteries.
  • controlling of the power flow to the one or more chargers comprises allowing a power flow to the one or more chargers for charging respective batteries during predicted one or more time periods of low power consumption.
  • controlling of the power flow to the one or more chargers comprises restricting a power flow to the one or more chargers during predicted one or more time periods of high power consumption.
  • the indirect loads are configured to be connected to one or more inverters that are configured for receiving a direct current from respective batteries.
  • the controlling of the power distribution comprises controlling a power flow from the one or more inverters to the local power grid, e.g., while being connected to respective chargers.
  • the method further comprises determining power consumption in the main grid and controlling a power distribution between the one or more local power grids and connected indirect loads based on the determined power consumption in the main grid.
  • the object is achieved by an arrangement for managing power consumption in one or more local power grids comprised in corresponding parts of a mine environment, the one or more local power grids connected to a main power grid.
  • the arrangement comprises processing circuitry configured to obtain information regarding power consumption of direct loads during a predetermined cycle of operation in the one or more local power grids, wherein the direct loads comprise one or more mining consumers connected to the one or more local power grids.
  • the processing circuitry is also configured to obtain information regarding power consumption of indirect loads when connected to the one or more local power grids, wherein the indirect loads comprise one or more batteries for use in respective battery operated mining machines and wherein, optionally, the indirect loads are connected through respective chargers when connected to the one or more loca l power grids.
  • the processing circuitry is configured to predict one or more time periods of irregular power consumption during the predetermined cycle of operation, and schedule a power utilization in the one or more local power grids and connected indirect loads during the predicted one or more time periods.
  • the processing circuitry comprises multiple processors and wherein at least one processor of the multiple processors is arranged in a local power grid.
  • the at least one processor is arranged in an indirect load of the local power grid.
  • the object is achieved by a computer program comprising computer program code which, when executed cause an arrangement according to any of the embodiments of the first aspect to execute the method according to any of the embodiments of the second aspect.
  • embodiments provide the advantage of enabling a balanced and optimized power consumption in a local power grid with regard to the power consumption on the main grid, i.e., the power consumption resulting from power consumption in a multitude of local power grids.
  • Figure 1 schematically illustrates a power system of a mine according to prior art
  • Figure 2 schematically illustrates a power system according to the present disclosure; the power system comprising at least one local power grid connected to a main grid;
  • Figure 3 schematically illustrates an underground mine comprising a plurality of local power grids;
  • Figure 4 is a flowchart illustrating exemplary method steps for managing power consumption in a mine
  • Figure 5 is a block diagram illustrating an example arrangement configured for managing power consumption in a mine.
  • the functions or steps noted in the blocks can occur out of the order noted in the operational illustrations.
  • two blocks shown in succession can in fact be executed substantially concurrently or the blocks can sometimes be executed in the reverse order, depending upon the functionality/acts involved.
  • the functions or steps noted in the blocks can according to some aspects of the disclosure be executed continuously in a loop.
  • the term "local power grid” refers to connected equipment and components in a defined part of a mine environment, e.g., in a mine gallery or in a whole mine.
  • the local power grid is the power grid providing power to the whole mine, i.e., representing the main power grid of the mine.
  • Each local power grids may differ from the other local power grids with regard to mining consumers, e.g., equipment and components, comprised in the local power grid.
  • Such equipment and components may comprise electrical mining machines, battery chargers, batteries, and electrical lines providing the connections between the equipment and components of the local power grid and the main power grid.
  • Such equipment and components may also comprises ventilation equipment, lighting, and transport vehicles operated in the mine or other type of mine infrastrucutre.
  • the main power grid is often on the edge of its capacity or even under-dimensioned to meet the power needs of multiple, simultaneous operations using electrically operated mining machines. This is especially true in cases where the cycles of operations imply intermittent power needs in the power grid. Furthermore, within an existing, already highly loaded main powergrid, charging of a fleet of machines could lead to overloading especially when performed during times of operating other electrically powered tools in the mine environment.
  • FIG. 1 schematically illustrates a local power grid 10 of a mine according to prior art.
  • a part of the mine comprises an electrically operated mining machine 11 directly connected to a branch of the power system as well as a ventilation system 14.
  • a battery operated mining machine 13 is present in the local power grid and charging of the battery operated mining machine is performed by a battery charger 12 comprised in the local power grid.
  • a switchboard/arrangement 18 provides for power control in the local power grid in reaction to power load situations occurring in the local power grid.
  • prior art system provides for overload protection, e.g., applicable to the above explained power needs, but primarily as a means to protect the grid rather than to ensure operational capability.
  • FIG. 2 schematically illustrates a local power grid 20 of a mine according to the present invention.
  • the local power grid comprises an electrically operated mining machine 21 directly connected to a branch of the power system as well as ventilation system 24.
  • a battery operated mining machine 23 is present in the local power grid and charging of the battery operated mining machine is performed by a battery charger 22 comprised in the power system. Charging of the battery may be performed with the battery mounted in the battery operated mining machines, but charging of the battery may also be performed when a fully charged battery replaces a depleted battery in the mining machine and the charging is performed for the battery per se rather than for the battery operated charging machine.
  • the charging station may be used for charging a plurality of batteries that may be dedicated for use in respective mining machines or that may be provided for a battery pool of batteries applicable to a plurality of different mining machines.
  • the local power grid comprises an arrangement for managing power consumption in the local power grid. As illustrated, the arrangement may in part be comprised in the local power grid, but such location arrangement for the arrangement does not preclude the use of the arrangement for also managing power consumption in further local power grids.
  • the arrangement may also be arranged as a centralized entity configured to control power consumption in one or more further local power grids. According to some aspects of the present disclosure, the arrangement may at least in part be remotely operated from a centralized control facility capable of controlling operations in a plurality of local power grids.
  • a switchboard 28 may provide for power control in the local power grid in reaction to power overload situations occurring in the local power grid.
  • the arrangement and the switchboard may be co-located, but may also be provided as separate entities.
  • the mining machines are presumed to be battery operated.
  • a battery should in the context of the present disclosure be interpreted as an energy storage unit capable of being recharged by means of a connection to a power grid.
  • FIG. 3 illustrates the power grid 30 for an underground mine comprising a plurality mine galleries A-D.
  • the power grid 30 comprises at least one power supply 30a and a plurality of local power grids 30b arranged in respective mine galleries.
  • the local power grids 30b may comprise indirect loads, here represented as batteries 32 for use battery operated mining machines 34 and direct loads, here represented as a single electrically operated mining machine 33.
  • An arrangement 31 is provided in an interface to the one or more local power grids for managing power supply to the one or more local power grids.
  • battery charging stations are provided in each local power grid, e.g., in a neighbourhood of each battery operated mining machines.
  • charging of batteries is configured to be performed when the batteries have been removed from the mining machines.
  • the batteries also represents energy storages from which power may be retrieved and provided to one or more inverters to return power into the local power grid.
  • the battery When connected to an inverter, the battery may be used to provide power to the direct load when a power utilization plan indicates that the power consumption is close to its maximum capacity. Consequently, the batteries may be arranged to provide power within the local power grid, or to one or more further local power grids of the mine.
  • the disclosed method is applicable to the situation of managing power consumption in a part of a mine, e.g., in a mine gallery or in an open pit mine, wherein the local power grid is connected to a main grid capable of providing a limited amount of power to one or more local power grids.
  • the disclosed method is advantageous when faced with a need to optimize power consumption.
  • the method is further advantageous in the scenario where there are power consumption restrictions that need to be observed and where power consumption may vary significantly, e.g., according to one or more cyclic power consumption patterns that reoccurs on a regular and predictable basis.
  • the cyclic pattern may represent a power consumption that varies according to time of day, week or following a predetermined number of hours of operation.
  • the method for managing power consumption in one or more local power grids of a mine environment enables scheduling of power utilization in corresponding parts of the mine environment.
  • the method comprises obtaining S41 information regarding expected power consumption of direct loads during a predetermined cycle of operation in the one or more local power grids, wherein the direct loads comprise one or more mining consumers connected to the one or more local power grids.
  • the direct loads represent any type of electrical load directly powered from a connection to the local power grid.
  • the direct loads may comprises electrically operated infrastructure of the mines, e.g., lighting and ventilation, representing a fairly even base load.
  • the mining machines usually operate according to work cycles.
  • the method comprises obtaining information regarding historic power consumption of the direct loads, e.g., reflecting a work cycle.
  • the obtaining comprises deriving the information from a mine schedule or a scheduling system of the mine comprising such a mine schedule.
  • the mine schedule comprises information relating to the energy/power consumption of each mining machine when performing a specific operation or part of operation.
  • the mine schedule also comprises information relating to a planned cycle of mining operations for a given period of time, e.g., for the next shift, 24 hours, week or any other applicable time interval.
  • the method also comprises to obtain S42 information regarding power consumption of indirect loads, the expected power consumption of indirect loads when connected to the one or more local power grids.
  • the indirect loads comprise one or more batteries for use in respective battery operated mining machines.
  • said batteries may be charged for use in battery operated mining machines, but batteries may also be charged to increase the stability and robustness of the power grid. This is especially true for the scenario where the main power grid is based on renewable energy sources such as as photovoltaic systems and wind generators.
  • the batteries may be comprised and charged in the respective mining machines, or may be removed from the mining machines during charging at a charging station, e.g., a bidirectional charging station.
  • the method further comprises predicting S43 one or more time periods of high or low power consumption during the predetermined cycle of operation, wherein high power consumption corresponds to a power consumption above a predetermined peak power consumption indicating threshold and low power consumption corresponds to a power consumption below a predetermined surplus power indicating threshold, and scheduling S44 a power utilization in the one or more local power grids and connection of indirect loads during the predicted one or more time periods.
  • the threshold for peak power consumption i.e., the peak power consumption indicating threshold, is set to represent a maximum allowed power consumption. During a time period when the threshold is reached, no further loads or power consumption will be allowed in the local power grid.
  • the surplus power indicating threshold is predetermined to reflect a power consumption level when there is a surplus power availability. Charging of the batteries may be scheduled to occur during instances when power consumption below the surplus power indicating threshold is predicted. Thus, scheduling results in scheduled plan for charging of indirect loads in the one or more local power grids.
  • the step of scheduling the power utilization in the one or more local power grids and connected indirect loads may further be based on the historic power consumption information.
  • the prediction of the time periods of high and low power consumption is based on the obtained information regarding expected power consumption of direct loads during a predetermined cycle of operation in the one or more local power grids.
  • the time periods of high and low power consumption may also be determined using the above disclosed mine schedule, e.g., with a computing support of a scheduling system of the mine.
  • the prediction may be made for a single local power grid, for a plurality of local power grids and/or for the whole mine. Consequently, power utilization may be scheduled for a single local power grid and connected indirect loads, a plurality of local power grids and respective connected indirect loads or for the whole mine.
  • power utilization may consequently be scheduled for the local power grids of mine galleries A, B, and C-D individually or coordinated.
  • charging of the battery 32a in mine gallery B may be scheduled to be performed at a time period different from charging of batteries 32b in mine gallery C-D, and more specifically at a time period determined to represent a time period of low power consumption.
  • the scheduling may include boundary conditions such as maximum energy content level of each chargeable battery (above which charging is not an option), minimum energy content level (below which discharge is not recommended), and charge/discharge rate (which determines how fast charge and discharge of the energy storage may be performed.
  • the predicting comprises predicting the power utilization over a period of time comprising at least one cycle of operation, i.e., predicting a power consumption representation that may comprise time periods of high power consumption, time periods of low power consumption and time periods of ordinary power consumption. These time periods may have different lengths in time and represent a power consumption during a cycle of operations within the corresponding part of the mine.
  • the scheduling of the power utilization may comprise scheduling of battery charging activities within the local power grid during time periods of low power consumption.
  • the arrangement may be configured as a control system with local control entities, e.g., associated with each battery charger.
  • the scheduling of power utilisation i.e., creating a utilisation plan for the local grid, aims at optimizing power consumption in the mine environment.
  • available energy content in each accessible battery may be considered according to aspects of the disclosure so that a decision to charge or discharge a battery is at least partly based on the value of the available energy within the energy storage and the ability to receive power or deliver power.
  • scheduling of power utilization comprises determining a preferred time period for connection of indirect loads during the predicted one or more time periods.
  • a preferred time period is a time period with high power consumption, a time period with low power consumption, or a time period at a predetermined time interval from a time period with high or low power consumption.
  • the scheduling may also be performed to identify specific instances when connection of an indirect load would be preferable despite the indirect load not being in imminent need of recharging.
  • An operator e.g., a grid operator or an operator of one or more loads, i.e., direct or indirect loads, will be able to plan connection of indirect loads to the grid, e.g., a charging connection, based on the predictions. Consequently, a prediction that a time period of high power consumption is expected within a given time interval, e.g., in two hours time, may be communicated to a mine operator to support a decision to initiate a prompt charging of an indirect load not being in imminent need of recharging. The decision may also be put to the operator, merely indicating a risk that charging at the time when the battery is depleted may take longer time than desirable due to an expected high power consumption in the grid at the time period corresponding to a predicted charging period of the indirect load.
  • the method further comprises controlling S45 a power distribution between the one or more local power grids and connected indirect loads based on the scheduled power utilization.
  • the controlling comprises controlling a power flow to one or more chargers, i.e., enabling a power flow to the one or more chargers for charging respective batteries during predicted one or more time periods of low power consumption and restricting a power flow to the one or more chargers during predicted one or more time periods of high power consumption.
  • the one or more chargers may be bi-directional chargers and may be arranged at one or more charging stations.
  • the control of the power flow may alternatively or additionally be performed by controlling power used in one or more chargers.
  • the one or more chargers or the one or more charging stations comprising the chargers may be configured to execute the charge control by itself. Such charge control may also, optionally be achieved, by a battery management system (BMS) of the battery.
  • BMS battery management system
  • the controlling further comprises determining an energy storage capacity of the respective batteries and controlling the power flow to the one or more chargers based on the determined energy storage capacity.
  • the method further comprises obtaining information regarding the power consumption in the main grid and controlling a power distribution between the one or more local power grids and connected indirect loads based on the determined power consumption in the main grid.
  • the scheduling of the power utilization in the one or more local power grids comprises obtaining price information relevant for the main grid, calculating a price per power unit depending on the expected or actual load on the grid and scheduling the power utilization based on the calculated price per power unit.
  • the indirect loads are configured to be connected to one or more inverters that are configured for receiving a direct current from respective batteries.
  • the controlling of the power distribution comprises controlling a power flow from the one or more inverters to the local power grid, e.g., through the respective chargers.
  • the batteries or any other energy storage entities in a local power grid may be introduced for peak shaving, supplying power to the local power grid or to one or more neighboring local power grid during time periods when predictions indicate a risk for overload in the respective local grid.
  • connectivity between the indirect loads, e.g., the one or more batteries, and respective local power grids may be ensured by means of the chargers, that may comprise the one or more inverters.
  • the inverters may of course also be directly associated with the indirect loads, e.g., by being comprised in the indirect loads.
  • FIG. 5 is a schematic block diagram illustrating an example arrangement 50 configured for managing power consumption in a mine by managing power consumption in one or more local power grids comprised in corresponding parts of a mine environment, the one or more local power grids being connected to a main power grid.
  • the arrangement comprises processing circuitry 51 configured to obtain information regarding power consumption of direct loads during a predetermined cycle of operation in the one or more local power grids, wherein the direct loads comprise one or more mining consumers, e.g., mining machines, connected to the one or more local power grids and to obtain information regarding power consumption of indirect loads connected to the one or more local power grids, wherein the indirect loads comprise one or more batteries for use in respective battery operated mining machines.
  • the processing circuitry is further configured to predict one or more time periods of irregular power consumption during the predetermined cycle of operation, and schedule a power utilization in the one or more local power grids and connected indirect loads during the predicted one or more time periods.
  • Figure 5 also illustrates an example computer program product 52 having thereon a computer program comprising instructions.
  • the computer program product comprises a computer readable medium such as, for example a universal serial bus (USB) memory, a plug-in card, an embedded drive or a read only memory (ROM).
  • the computer readable medium has stored thereon a computer program comprising program instructions.
  • the computer program is loadable into a processing circuitry 51 comprised in the arrangement 50. When loaded into the processing circuitry 51, the computer program may be stored in a memory 51b associated with or comprised in the processing circuitry and executed by the processor 51a. According to some embodiments, the computer program may, when loaded into and run by the processing circuitry, cause execution of method steps according to, for example, the method illustrated in Figure 4 or otherwise described herein.
  • the computer program is loadable into data processing circuitry, e.g., into the processing circuitry 51 of Figure 5, and is configured to cause execution of embodiments for managing power consumption in one or more local power grids comprised in corresponding parts of a mine environment, when the computer program is run by the processing circuitry.
  • the example arrangement of Figure 5 may, for example, be configured to perform method steps described in connection with Figure 4.
  • the arrangement may, at least in part, be provided as a centralized, e.g., cloud based application.
  • a cloud based application is configured to receive the obtained information relating to expected power consumption of direct loads and the expected power consumption of indirect loads, e.g., by means of wireless communication, and to schedule the power utilization based on the received information.
  • Power utilization may be scheduled for local power grids within one mine environment or for local power grids of a plurality of mine environments.
  • the processing circuitry comprises multiple processors and wherein at least one processor of the multiple processors is arranged in a local power grid.
  • respective processors, and optionally memories may be arranged within respective local power grids or within an indirect load of a local power grid.
  • the processors of the local power grids are connected, at least communicatively, to an arrangement that may be configured to coordinate the scheduling of a power utilization in the one or more local power grids and connected indirect loads.
  • the arrangement may be arranged at a location remote from the local power grids or the indirect loads.
  • the described embodiments and their equivalents may be realized in software or hardware or a combination thereof.
  • the embodiments may be performed by general purpose circuitry. Examples of general purpose circuitry include digital signal processors (DSP), central processing units (CPU), co-processor units, field programmable gate arrays (FPGA) and other programmable hardware.
  • DSP digital signal processors
  • CPU central processing units
  • FPGA field programmable gate arrays
  • the embodiments may be performed by specialized circuitry, such as application specific integrated circuits (ASIC).
  • ASIC application specific integrated circuits
  • the general purpose circuitry and/or the specialized circuitry may, for example, be associated with or comprised in an apparatus such as a wireless communication device or a network node.
  • Embodiments may appear within an electronic apparatus comprising arrangements, circuitry, and/or logic according to any of the embodiments described herein. Alternatively or additionally, an electronic apparatus may be configured to perform methods according to any of the embodiments described herein. Generally, all terms used herein are to be interpreted according to their ordinary meaning in the relevant technical field, unless a different meaning is clearly given and/or is implied from the context in which it is used.
  • the method embodiments described herein discloses example methods through steps being performed in a certain order. However, it is recognized that these sequences of events may take place in another order without departing from the scope of the claims. Furthermore, some method steps may be performed in parallel even though they have been described as being performed in sequence. Thus, the steps of any methods disclosed herein do not have to be performed in the exact order disclosed, unless a step is explicitly described as following or preceding another step and/or where it is implicit that a step must follow or precede another step. In the same manner, it should be noted that in the description of embodiments, the partition of functional blocks into particular units is by no means intended as limiting. Contrarily, these partitions are merely examples. Functional blocks described herein as one unit may be split into two or more units. Furthermore, functional blocks described herein as being implemented as two or more units may be merged into fewer (e.g. a single) unit.

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

La présente invention concerne un procédé et un agencement de gestion de la consommation d'énergie dans un ou plusieurs réseaux électriques locaux compris dans des parties correspondantes d'un environnement de mine, lesdits réseaux électriques locaux étant reliés à un réseau électrique principal. Le procédé consiste à obtenir des informations concernant la consommation d'énergie attendue des charges directes pendant un cycle de fonctionnement prédéterminé dans lesdits réseaux électriques locaux, les charges directes comprenant un ou plusieurs consommateurs d'exploitation minière reliés auxdits réseaux électriques locaux et à obtenir des informations concernant la consommation d'énergie attendue des charges indirectes lorsqu'elles sont reliées auxdits réseaux électriques locaux, les charges indirectes comprenant une ou plusieurs batteries destinées à être utilisées dans des machines d'exploitation minière actionnées par batterie respectives. Le procédé consiste en outre à prédire une ou plusieurs périodes de temps de consommation d'énergie élevée ou faible pendant le cycle de fonctionnement prédéterminé, la consommation d'énergie élevée correspondant à une consommation d'énergie au-dessus d'un seuil prédéterminé d'indication de consommation d'énergie de crête et la consommation d'énergie faible correspondant à une consommation d'énergie au-dessous d'un seuil prédéterminé d'indication d'énergie excédentaire. L'utilisation d'énergie est programmée pour lesdits réseaux électriques locaux et des charges indirectes reliées pendant lesdites périodes de temps prédites.
PCT/SE2019/050659 2018-07-04 2019-07-03 Procédé et agencement de gestion de la consommation d'énergie dans une mine WO2020009649A1 (fr)

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AU2019298069A AU2019298069B2 (en) 2018-07-04 2019-07-03 Method and arrangement for managing power consumption in a mine
CA3103213A CA3103213A1 (fr) 2018-07-04 2019-07-03 Procede et agencement de gestion de la consommation d'energie dans une mine
CN201980045097.9A CN112352364A (zh) 2018-07-04 2019-07-03 用于管理矿井中的电力消耗的方法和装置

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SE1850849A SE543908C2 (en) 2018-07-04 2018-07-04 Method and arrangement for managing power consumption in a mine
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SE543908C2 (en) 2021-09-21
SE1850849A1 (en) 2020-01-05
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CA3103213A1 (fr) 2020-01-09
CN112352364A (zh) 2021-02-09

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