EP3284155A1 - Vorsorgliches einspeisen zwischengespeicherter energie in energieversorgungsnetz basierend auf energieverfügbarkeitsvorhersage und energieversorgungssicherheit - Google Patents
Vorsorgliches einspeisen zwischengespeicherter energie in energieversorgungsnetz basierend auf energieverfügbarkeitsvorhersage und energieversorgungssicherheitInfo
- Publication number
- EP3284155A1 EP3284155A1 EP16705151.5A EP16705151A EP3284155A1 EP 3284155 A1 EP3284155 A1 EP 3284155A1 EP 16705151 A EP16705151 A EP 16705151A EP 3284155 A1 EP3284155 A1 EP 3284155A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- energy
- power
- arrangement
- supply network
- control
- Prior art date
- Legal status (The legal status 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 status listed.)
- Withdrawn
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
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- 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
- H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
-
- 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
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems 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
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
Definitions
- the invention relates to an arrangement and a method for managing energy, a computer-readable storage medium and a software program.
- intelligent energy management systems gets the
- DSM Demand Side Management
- DSR Demand Side Response
- an arrangement for managing energy that selectively energizes loadable or dischargeable intermediate energy storage device for temporarily storing (in particular electrical) energy and a
- Control device for example, a processor
- a processor which is set up, based on a predictive model with regard to the future development of energy availability from a power grid and under
- a method of managing energy including energy in a selectively energetically-chargeable or dischargeable one
- Energy buffer storage device discharged therefrom energy and fed into a power grid, based on a predictive model for the future development of
- An exemplary embodiment of the present invention stores a program for managing energy, which program, when executed by one or more processors, performs the method steps described above.
- a software program (formed, for example, by one or more computer program elements, which optionally may also be distributed locally and / or interconnected with communicative data exchange) according to an embodiment of the present invention for managing
- Energy has (or carries out the process steps described above by or controlling these) when executed by one or more processors of the device.
- Embodiments of the present invention can be realized both by means of a computer program, that is to say a software, and by means of one or more special electrical circuits, that is to say in hardware, or in any hybrid form, that is to say by means of software components and hardware components.
- the term "selectively energetically-chargeable or dischargeable energy buffer device” is understood to mean, in particular, an energy buffer device in which, in particular, electrical energy can be temporarily stored in order to supply this energy later, for example, to supply a (for example electrical) load or to or
- the intermediate energy storage device is preferably set up such that it can carry out many (in particular at least 100, more particularly at least 1000, even more particularly at least 10000) energetic charging and discharging cycles.
- Energy buffer device is preferably also only partially loaded or unloaded. Such an energy buffer device can be described as
- Energy buffer operated in times of available energy (for example, from a power grid or from a
- Energy generating device energetically charged and can be discharged in times of scarce energy (for example, to feed back energy into the power grid or to operate a power consumption device).
- An example of an intermediate energy storage device is a
- Prediction mode in particular a prognosis-based decision logic understood on the basis of input data concerning the characteristics, characteristics, operating parameters and / or environmental parameters of a Energy supply network can make a decision as to how the availability of energy from the power grid will develop in the future.
- local energy supply security criterion refers in particular to the local
- Control device and at least one associated
- Energy supply scenarios and energy consumption scenarios can be decided whether a current or foreseeable time (especially within a subsequent limited time interval) to be expected
- Energy requirement of the local arrangement can be met with at least a sufficient (for example, predeterminable) probability to meet the local energy needs.
- the energy fed into the energy supply network by the intermediate energy storage device can then pass through
- the control of the intermediate energy storage device can be such that with a predetermined probability (for example, with a probability of at least 90% or with a probability of at least 99%) bottlenecks in the supply of local energy consumers or loads with (in particular electrical) energy (for Example from the
- Power supply network and / or at least one local area network
- Power generating device which is associated with the arrangement) are avoided. It can, for example, historical energy consumption data
- control can be carried out such that a specifiable local energy supply security criterion (that is, in particular the ensuring of energy availability of a local load in a predetermined period of time with at least one predetermined
- Energy buffer device thus used not only to temporarily store energy from a power grid to
- an intermediate energy storage device may be provided that takes into account not only the local needs for power security in the array, but also the global ones
- the intermediate energy storage device can be used in combination with the
- Control means thus form an intelligent power management system, the at the same time ensures a stable energy supply network, on the other hand, due to the consideration of the energy supply security criterion also includes the local requirements in terms of supply security with energy in the control.
- Intermediate energy storage device and / or coupled to the power grid or coupled to be powered by the intermediate energy storage device and / or the power grid with energy may be, for example, a local load such as a heat pump or electric floor heating, or a building area or entire building. Even a building complex can be regarded as an energy consumption device. If the expected energy demand of such an energy consumption device can be estimated with sufficient reliability due to the presence of historical data, then by extrapolating the historical data into the future, the fulfillment of the energy security reliability criterion can be adequately met
- the local area network may be configured to:
- Energy security criterion be indicative of a, in particular predeterminable or predetermined, probability that the
- Power supply network is transmitted.
- network quality characteristic can be understood to mean a characteristic relating to a quality of the energy supply network that prevailed, currently prevails and / or prevails in the energy supply network in the past by doing
- the presence of such disturbance events may be an indicator that the energy supply capacity of the energy supply network is currently below average and due to temporary regeneration in the
- Energy buffer storage device cached electrical energy can be improved.
- the temporal course of the network quality for the control in particular a comparison between a historical average and currently given conditions with respect to the
- the arrangement can automatically recognize the need to fully or partially discharge the intermediate energy storage device to support the power grid, if this is the
- Network quality characteristic should be indicative of what is currently available from the energy supply network and / or affordable in the foreseeable future Energy supply capacity, in particular an energy shortage or a power over supply. In times of energy shortage, the
- Energy buffer storage device to re-energize energy in the power system, whereas in times of energy overload (for example, in strong winds, during which a wind turbine provides more energy than is actually needed), the energy buffer device can act as an energy buffer and be charged and in this period of a supply of energy into the overloaded power grid.
- Power Quality Characteristics an electrical voltage value provided by the energy supply network and / or an electric current value resulting from the power supply and / or a crest factor of the supply provided by the energy supply network and / or at least one particular discontinuous voltage event in the electrical voltage provided by the energy supply network and / or a power provided by the power grid and / or energy and / or flicker events provided by the power grid in the power supply network signal and / or at least one of the harmonics or interharmonics of the electrical or electrical power provided by the power grid and / or a ripple control signal (wherein the so-called ripple control) for remote control of electricity consumers by
- the network quality may be characterized by information regarding an impedance of at least a portion of the power grid.
- a corresponding impedance value may represent the power quality characteristic.
- the detection of the power quality characteristic can be carried out by measuring the impedance for determining an internal resistance of the power supply network. As a result, it can be ensured, for example, that there is no undervoltage (for example less than nominal voltage minus 10%) or no energy input at the end consumer side within the framework of intended energy reference quantities
- the detection of the power quality characteristic may also include a measurement of a time characteristic of impedance (in particular source impedance) and nominal voltage. This allows a concrete statement about a local network utilization status.
- Each of the mentioned forms of network impedance measurement may be used to dynamically estimate the current source voltage, parallel load and internal impedance of the network
- the arrangement may include a power quality detection device that is configured to
- the control device To detect network quality characteristics of the power grid and provide the control device as a basis for the control.
- Net quality detection device can be a sensor that detects indicative measured variables for the network quality.
- a sensor may be Voltmeter, which is the time dependence of the voltage of the
- Energy supply network detected and can determine deviations of an actual course of a desired course.
- the sensor may be an ammeter that can extract data corresponding to a current signal.
- Control device be configured to perform the control based on at least one time derivative, in particular the first derivative and / or the second derivative, the detected network quality characteristic. It has proved to be particularly advantageous to carry out the control of the temporary discharge of the intermediate energy storage device into the network not only based on the value of the network quality itself, but on the basis of its pitch behavior and / or curvature behavior. This allows a much finer tracking of existing and even impending network quality disturbances, since the first or second derivative is more sensitive to such disturbances than the (especially current or voltage) signal of the network quality itself.
- the arrangement may comprise a learning device configured to locate behavior patterns of the device and / or the power supply network in the past and to provide retrieved behavior patterns to the controller as a basis for future control.
- a learning device can realize elements of artificial intelligence, for example neural networks, fuzzy logic or methods of pattern recognition.
- a learning device recognizes certain recurring events (for example, an elevated one)
- This energy requirement may be served by a residual charge of the energy buffer device, for example when the power supply capacity of the power grid is present is restricted.
- the energy security criterion can take into account such patterns of behavior. In this way, the power supply security can be increased in a user-specific manner, and yet the amount of energy that is required to be fed back into the energy supply network can be increased. Both local and global requirements can thereby be optimally served.
- Control means may be arranged, the power management based on prediction data for predicting a current from the power grid and / or affordable in the foreseeable future
- Elements of positive energy as well as elements of negative energy balance can thus be taken into account by the forecast data. If a weather forecast predicts cold temperatures, for example, an increased demand for energy from local end consumers can be expected. However, if strong winds are predicted at the same time, an increase in the energy supply due to connected wind turbines of the energy supply network can be expected. However, simultaneous clouding can lead to the expectation that connected solar systems will provide little energy. Based on this and other predictive data, the relationship between power feed and grid draw can be adjusted or even optimized. If appropriate, such predictive mechanisms can also incorporate seasonal insights (for example, "In the summer with the expected high outside temperature and plenty of sun, many air conditioners will draw energy from 1:00 pm to 4:00 pm").
- seasonal insights for example, "In the summer with the expected high outside temperature and plenty of sun, many air conditioners will draw energy from 1:00 pm to 4:00 pm").
- Predictive data contain at least one of the group, which consists of a weather forecast, a weather history, a date, a
- the arrangement may comprise a safety device which is adapted to protect the device from external manipulation. To a disturbance of the
- a data transfer between communicable components of the device and communicatively coupled other entities can be protected.
- the control of the time dependency of the feeding or recovery of the intermediate energy storage device can be accomplished by an encrypted data traffic. This can protect the controller from hacking attacks affecting both local power security and the global
- the arrangement may comprise a recording device, which is set up for recording data indicative of, by means of the control device in FIG.
- Such a recording device can record a history of the control and thereby identify successful as well as unsuccessful control cycles. By recording a
- control may be steadily refined based on empirical data using self-learning algorithms.
- the energy supply can be made even safer in this way.
- the control may be steadily refined based on empirical data using self-learning algorithms.
- the energy supply can be made even safer in this way.
- Control device to be set up, autonomously controlled by the
- autonomous taxes is understood in particular to mean that the control device is completely independent and independent of others
- Control means decides which portion of the energy currently stored in the energy buffer storage device is included in the
- Power supply network is fed, and which remaining portion is used for other purposes (for example, by at least one
- the control can thus be performed without a higher-level control center and is also not dependent on binding control commands that are provided by the power grid. It has been found that the willingness of end users to support the
- Energy supply network by means of temporary energy recovery, which is more pronounced when decision-making power over whether and how much of this recovery remains at the local level and is not dominated by a central control logic of the energy supply network.
- the autonomous control can thus increase the pool of end users, taking into account both local and global needs
- Control can be locally ensured that the energy consumption of the end user can actually be ensured by local energy supply entities.
- Control device to be set up the control not only autonomous from the power grid, but in addition cooperates with other connected to the power grid arrangements with
- Energy buffer device for feeding energy into the
- Control devices are considered and / or in advance and / or in the aftermath of their own taxes with other control devices for tuning or coordinating or synchronizing the control behavior communicates.
- a control algorithm that the controller performs as the basis for controlling the degree of injection of buffered energy into the power grid may also affect the performance of others
- the degree of power feed through an array may be made dependent on the degree of power input by other arrangements (eg, anti-cyclic feed behavior between the arrays may be tuned to supply spikes and thus power oversupply in the power grid through a uniform, uncoordinated power supply
- control logic of a particular arrangement may be adjusted to achieve the goal that control suggestions from other arrangements, if not inconsistent with higher prioritized control principles of the arrangement, are taken into account in their own control logic.
- Control device to other control devices via a
- Communication network can use the other control devices with the
- Prediction model local prediction data which are thus related to the conditions in the arrangement
- external arrangements in particular on the
- Power supply network and / or other arrangements connected to the Energy supply network are connected, related) take into account forecast data, in particular take into account combinatorial.
- a power managed by the arrangement may be less than 30 kW, in particular less than 10 kW, more particularly less than 3 kW.
- the arrangements may therefore be smaller and medium-sized installations, many of which are connected to the
- Power supply network can be connected.
- a weighting may be included between a measure of consideration of the future evolution of energy availability from the power grid and a measure of consideration of the local power security security criterion
- Control means may be arranged, based on the predictive model, a target retransmission time to start the feeding back of in the
- Energy buffer device to detect cached energy in the power grid.
- the feeding of the energy from the intermediate energy storage device into the energy supply network can thereby be time-controlled in a targeted manner and, for example, be retained or delayed until local energy security criteria begin the start of the energy supply
- Power supply security criterion indicative of a probability that the energy buffer device is charged up to a predetermined time again at least up to a predetermined Greenegrad (for example, a predetermined percentage, about 80%).
- a predetermined Greenegrad for example, a predetermined percentage, about 80%.
- Local or user-specific features or habits can also be taken into account.
- the arrangement may comprise a local energy generating device for generating energy, wherein the control device is set up to load the energy buffer device with at least part of the generated energy.
- the intermediate energy storage device can be charged not only by the power supply network, but alternatively or additionally by an energy generating device which is arranged locally (for example, a solar system on the roof of a detached house).
- the local area network may be configured to:
- Energy generating device to be selected from a group consisting of a photovoltaic system, a wind turbine, a fuel cell, a combined heat and power plant, an eMobility system and a geothermal system.
- Biomethane / diesel i. in particular on combustion of fuel (solid, liquid and / or gaseous) based generators, or a recuperator of waste heat).
- Control device to be another (that is not in the
- Energy buffer storage device cached energy for supplying a local energy consumer with energy.
- the control device can bring about a balance between fed back into the power grid and provided to supply the local energy consumer with energy share.
- the control device can bring about a balance between fed back into the power grid and provided to supply the local energy consumer with energy share.
- Energy buffer device to be a rechargeable battery.
- other energy storage devices than rechargeable batteries are also possible.
- Capacity cycle of the batteries may include (or may be passed through regularly), as a precaution prevents memory effect, or can be avoided by the control memory effect lasting or regenerated a battery pack.
- Figure 1 shows an arrangement for managing energy according to an exemplary embodiment of the invention.
- Controls of conventional energy storage which are suitable for feeding electricity into a power grid, are designed so that the storage and re-feed power is not or only very rarely in full soupswing be used. For reasons of allegedly necessary or precautionary energy reserves or the pretext of
- Battery saver power stores are rarely operated in full swing (i.e., 0% to 100%) or almost full swing (for example, 10% to 90%).
- Meteorological forecasting models can be used for performance planning. For example, elevation clouds, which can very rapidly massively reduce photovoltaic power production over a medium or large area in a region by condensing an ascending air mass, pose a challenge to power delivery in an intelligent power management system. Because certain energy sources take up to 30 minutes to switch between and feed-in to increase their energy production, it is problematic in a highly photovoltaic or wind-fed environment to provide enough alternative power in the short term;
- a control logic is implemented which is simultaneously network oriented as well
- both aspects may be weighted.
- both aspects may be weighted.
- Batteries are available in which the life is no longer significantly reduced when the charge / discharge power over the entire power range of the battery goes (for example, cycle: 100% -> 5% ->
- predictions from outside may be used.
- information regarding a weather forecast may be used. From the weather forecast "tomorrow the sun shines” can predict that the battery will most likely be fully charged. From the weather forecast "a lot of wind” it can be predicted that more energy will be generated than can be stored, it is also possible, according to exemplary embodiments
- group dynamic effects can be integrated into a forecasting system
- swarm behavior can be understood to mean a behavior that follows a large part of a population: predictions prepared in this way can be fed into a control system from the outside, while a control system can itself (for example, heuristically) forecast one out of a collection of historical data For example, based on local meteorological data
- Mechanisms may also be integrated to ensure that energy recovery is controlled at a lower priority than balancing the deviation of the monthly average power received by the utility (eg, minimizing a 15 minute maximum of related power, since this maximum is a high technical level) Expenses generated on the part of the energy supply network and thus in the
- Needs of the distribution network can be determined and then optimized improvements can be achieved. It can also be implemented as an autonomous control of the recovery power, which in particular regenerates when it is optimal for the power grid (for example, an increased need exists). Through this autonomous self-control is no
- Real-time communication and no hierarchical control needed It can be freely selected for example by the controller, which degree of autonomy is to be used.
- the degree of autonomy can also be adjusted based on the communication offer, the security mechanisms and / or transmitted data.
- Batteries are used, in particular those which despite high Nevertheless, they have a high storage capacity.
- the decision as to whether and how much energy is fed back into the energy supply network can be determined by the controller itself. This can be done based on
- Network needs This can be done for example by a parameterization that allows to determine how high user and / or owner needs are to be weighted against the needs of the power grid.
- a self-learning mechanism can also be used and / or basic data of a cost model can be taken into account.
- Such systems may also be small systems that are constructed by an end user.
- Control device for controlling a fuel cell can be formed with battery storage, with the battery, a time can be bridged until the fuel cell is at operating temperature (the above-mentioned
- Residual energy is in this case the minimum to start the cell).
- a controller may be used to control an eMobility system that includes at least one battery that is capable of generating power
- the learning (and hence the projection of the behavior) of the user behavior or mobility needs may be advantageous in order to realize both a precautionary emptying of the battery and the user needs (for example with respect to a desired arrival time at the destination). cover.
- a control device may be used to control a battery used in connection with a combined heat and power plant.
- a control device may be used to control a battery whose
- Regenerative power is coordinated by means of an intelligent energy management system.
- Control device for controlling a battery-based
- Regenerative device which by Demand Side
- the described principle for expanding the data offer or for clarifying the decision data of an online-based prediction device is described.
- Control device can be formed as an autonomous independent decision unit, which is both a separate device, an embeddable system part or part of a storage system.
- Control be realized by app, with control parameters by a
- control of a memory-based power feedback unit may be performed so as to take precautionary decisions based on prediction mechanisms
- the prediction schemes may be local and / or autonomous.
- the memory may be a battery system. It is advantageously possible
- a local regenerative power can be relatively small (for example less than 3 kW, less than 10 kW or less than 30 kW).
- Storage amount can also be small (for example, less than 1 kWh, smaller as 10 kWh or less than 100 kWh).
- the degree of control related to network optimization to the extent of control related to user and / or owner needs may be set and / or parameterized and / or
- Parts of the prediction can be on one
- Current feedback unit can be performed such that it autonomously and independently decides when an ideal recovery time is due to predictive mechanisms.
- Parameters of the power quality measurement can be:
- FIG. 1 shows an arrangement 104 disposed in a building 104 for locally managing energy within the building 104 according to an exemplary embodiment of the invention.
- the arrangement 100 arranged in the building 104 cooperates with a power supply network 108, a communication network 182 and further decentralized arrangements 100, of which only one is shown by way of example in FIG.
- the arrangement 100 ⁇ is associated with another building 144 and manages energy locally within the other building 144.
- the building 104 is a single-family house and the other building 144 is also a single-family house.
- At the building 144 is a photovoltaic system as
- Power generating device 102 is provided.
- a floor heating is installed as a power consumption device 136 and a
- Heat pump provided as an energy generating device 102, which supplies the floor heating with energy.
- the power generation device 102 in turn is supplied with electrical energy via a power line 190, which is provided by the power supply network 108.
- the heat pump draws the energy it supplies to the underfloor heating system
- a control computer 250 also located in the building 104, controls the power management of the building 104.
- the control computer 250 has a security device 116 (eg, a firewall) to control the security
- a controller 106 may be a respective processor of the respective one
- Control computer 250 may be formed.
- the energy supply network 108 is represented by a plurality of
- Wind power generating devices 188 are formed, which provide their individual energy contributions of a power management device 192 and scales their energy supply capacity with the currently available amount of wind energy. If the wind changes, the energy supply capacity of the volatile energy supply network 108 changes. By feeding in electrical energy, which can be stored in the buildings 104, 144 in the intermediate energy storage devices 130 of the arrangements 100, 100 ⁇ formed as rechargeable batteries according to FIG.
- Power supply network 108 are stabilized when, for example, the
- Wind power generating devices 188 present or future supply only a small amount of energy due to current calm. The respective
- Control device 106 controls charging or discharging operations of the respectively assigned energy buffer device 130.
- the arrangement 100 thus acts to locally manage energy in the building 104.
- End-chargeable energy buffer device 130 for buffering electrical energy that has been taken from the power grid 108 and / or produced by the power generator 102 and (at least at the time of generation) is not otherwise required.
- the controller 106 of the device 100 is configured based on a predictive model of the future development of
- Energy buffer device 130 discharged energy stored therefrom and is fed into the power grid 108.
- control device 106 takes into account in the context of
- the controller 106 controls the loading or
- indicative data can advantageously be used for the historical user behavior.
- the arrangement 100 is designed as a database
- Recording device 118 is provided which is adapted to record data indicative of by means of the control means 106 in the
- Power supply network 108 indicative data can be used, which can also be used by the controller 106 for controlling.
- a learning device 112 of the arrangement 100 can be adapted to those in the
- Recording device 118 stored data to access
- a weighting (eg 40% to 60%) between a measure of taking into account the future evolution of energy availability from the utility grid 108 and a measure of consideration of the local energy security criterion in determining the
- the controller 106 controls the amount of the
- Energy buffer device 130 in the power supply network 108 fed energy beyond based on a time course of a network quality characteristic of the power grid 108th Die
- Power quality characteristic measured by a power quality sensing device 110 eg, a voltmeter that continuously measures power supply voltage supplied by power grid 108 on power line 190
- a power quality sensing device 110 eg, a voltmeter that continuously measures power supply voltage supplied by power grid 108 on power line 190
- the power quality detector 110 provides the controller 106 with the detected power quality parameter (eg, the measured supply voltage) as the basis for controlling power management.
- the detected power quality parameter eg, the measured supply voltage
- Power supply network 108 to further improve, the controller 106, the first and / or second derivative of the detected
- Power quality parameter for example, the slope and / or curvature of the supply voltage over time
- the prediction data used for the predictive model may take into account a weather forecast.
- a weather forecast it can be assumed that the energy demand within the building 104 for heating increases, so that an increased demand for energy from the energy supply network 108 is to be expected.
- a thunderstorm with strong winds and heavy cloud overcapacities of the energy generated by the wind power generating devices 188 and only a low energy production of the
- Photovoltaic system formed energy generating device 102 of the
- the detected network quality and / or the weather forecast indicate that the power grid 108 will be in the foreseeable future (for example, due to
- the controller 106 may control the energy buffering means 130 to wholly or partially store the energy currently stored in it
- Power supply network 108 feeds. If she
- Energy buffer device 130 is discharged completely or partially, the controller 106 decides based on the determination of what duration the predictive model, the persistence of energy shortage predicts and what amount of energy discharge the
- the detected network quality and / or the weather forecast indicate that the energy supply network 108 is suffering from an energy surplus for the foreseeable future (for example because of strong winds).
- Control means 106 the energy buffer device 130 to control that they (even if currently in the building 104, no special energy requirement prevails) with energy from the overloaded
- Power supply network 108 is charged. This will do that
- Power supply network 108 in turn stabilized.
- the detected network quality and weather forecast indicate that the power grid 108 will be normal for the foreseeable future
- the controller 106 may charge or discharge the intermediate energy storage device 130, depending on whether excess energy is currently being generated in the building 104 or insufficient power is being generated.
- the predictions may be supplemented or replaced by one or more local sensors 146, such a local sensor 146 may be, for example, a wind sensor on the roof of the building 104.
- the control computer 250 may include the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for example, the security device 116 (for
- a firewall for example) to protect the device 100 from an external hacker attack that might interfere with the controller.
- Respective control devices 106 of the respective arrangements 100, 100 ⁇ are for autonomously controlling a time course of an infeed quantity of
- the control logic also has a cooperative component.
- the controllers 106 are for mutual cooperation in feeding energy into the system Power supply network 108 is formed.
- the arrangements 100, 100 ⁇ communicate with each other via communication interfaces via a communication network 182, for example the Internet.
- tuning or time synchronization of the power feed into the power grid 108 is communicable between the individual
- the network shown in FIG. 1 has a central one
- Coordinating device 184 which is coupled via the communication network 182 unidirectional or bidirectionally communicable with the control devices 106.
- the coordinator 184 may be from one of
- Arrangements 100, 100 ⁇ for controlling this arrangement 100, 100 ⁇ receive indicative data in the past and can transmit them to the other arrangements 100, 100 ⁇ .
- the central coordinating device 184 may also transmit operational optimization suggestions to the assemblies 100, 100 ⁇ , but which are not bound by its control means 106th
- FIG. 1 further shows a portable user terminal 120 in the form of a mobile telephone, which is coupled to the control unit 106 in a communicable manner by a wireless connection 152.
- the user may enter all the control commands for the control computer 250, similar to the user interface 114.
- the user terminal 120 may also replace the user interface 114 in another embodiment.
- the processor of the user terminal 120 may replace the controller 106 and thus take control of the system 100.
- An executable for this control software can be stored or installed in the user terminal 120 in the form of an app.
- current events may be communicated through the wireless link 152 to the mobile user terminal 120 so that a user may be kept informed of the power relationships in the building 104.
- the Internet can also for a forecast forecast on the future energy needs or the future energy volume from the Power supply network 108 indicative data are obtained. For example, via the communication interface 182, weather data from one
- Weather service facility 186 be obtained. No real-time transmission is required to operate the system, but can increase control accuracy if present.
- the system illustrated in FIG. 1 can be used to balance local energy supply interests with global energy requirements
- End user device or a subset of the end user devices refers understood. In particular, this can also be understood to mean only an amount of energy relevant to a local load on the distribution structure. Furthermore, the term "transmitted energy” can either generate an amount of energy generated (for example, by the power grid or a power supply)
- Power generation unit of an end user device or a consumed power amount (for example, from a power consumption unit of a power unit)
- transmitted energy may be the result of a generated energy in use of the distribution structure and in terms of the energy consumed.
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- Engineering & Computer Science (AREA)
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- Supply And Distribution Of Alternating Current (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
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DE102015102435.7A DE102015102435A1 (de) | 2015-02-20 | 2015-02-20 | Vorsorgliches Einspeisen zwischengespeicherter Energie in Energieversorgungsnetz basierend auf Energieverfügbarkeitsvorhersage und Energieversorgungssicherheit |
PCT/EP2016/053388 WO2016131885A1 (de) | 2015-02-20 | 2016-02-17 | Vorsorgliches einspeisen zwischengespeicherter energie in energieversorgungsnetz basierend auf energieverfügbarkeitsvorhersage und energieversorgungssicherheit |
Publications (1)
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EP3284155A1 true EP3284155A1 (de) | 2018-02-21 |
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EP16705151.5A Withdrawn EP3284155A1 (de) | 2015-02-20 | 2016-02-17 | Vorsorgliches einspeisen zwischengespeicherter energie in energieversorgungsnetz basierend auf energieverfügbarkeitsvorhersage und energieversorgungssicherheit |
Country Status (3)
Country | Link |
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EP (1) | EP3284155A1 (de) |
DE (1) | DE102015102435A1 (de) |
WO (1) | WO2016131885A1 (de) |
Families Citing this family (5)
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DE102017208392B4 (de) | 2017-05-18 | 2022-02-24 | Audi Ag | Verfahren zum Betreiben einer Ladevorrichtung für ein Kraftfahrzeug während eines Ladevorgangs sowie Ladevorrichtung und Kraftfahrzeug |
WO2020080006A1 (ja) * | 2018-10-18 | 2020-04-23 | 日本碍子株式会社 | エネルギーマネジメントシステム、独立システム、及び独立システムの運用方法 |
DE102019210352A1 (de) * | 2019-06-28 | 2020-12-31 | Siemens Aktiengesellschaft | Verfahren zum Betreiben eines Energiespeichers |
DE102020100008A1 (de) * | 2020-01-02 | 2021-07-08 | Innogy Se | Elektrisches Versorgungssystem für ein Gebäude |
CN117996816A (zh) * | 2024-03-29 | 2024-05-07 | 江苏谷峰电力科技股份有限公司 | 用于风光柴储分队级储能的智能控制方法及*** |
Family Cites Families (4)
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JP5178242B2 (ja) * | 2008-02-29 | 2013-04-10 | 株式会社東芝 | エネルギー貯蔵装置の運転計画作成方法および運転計画作成装置 |
US8768873B2 (en) * | 2011-05-03 | 2014-07-01 | Space-Time Insight | Space-time-node engine signal structure |
US20140156028A1 (en) * | 2012-11-30 | 2014-06-05 | General Electric Company | Cloud-based bi-directional messaging system for home appliance control |
GB201310939D0 (en) * | 2013-06-19 | 2013-07-31 | Chargesync Ltd | Charging electronic devices |
-
2015
- 2015-02-20 DE DE102015102435.7A patent/DE102015102435A1/de not_active Withdrawn
-
2016
- 2016-02-17 EP EP16705151.5A patent/EP3284155A1/de not_active Withdrawn
- 2016-02-17 WO PCT/EP2016/053388 patent/WO2016131885A1/de active Application Filing
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DE102015102435A1 (de) | 2016-08-25 |
WO2016131885A1 (de) | 2016-08-25 |
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