EP3433828A1 - A method and a system for dynamic aggregation of a fleet of power units to provide frequency regulation of a power system - Google Patents
A method and a system for dynamic aggregation of a fleet of power units to provide frequency regulation of a power systemInfo
- Publication number
- EP3433828A1 EP3433828A1 EP17714840.0A EP17714840A EP3433828A1 EP 3433828 A1 EP3433828 A1 EP 3433828A1 EP 17714840 A EP17714840 A EP 17714840A EP 3433828 A1 EP3433828 A1 EP 3433828A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- power
- regulation
- frequency
- units
- reserve
- 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- Withdrawn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
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—ELECTRIC POWER NETWORKS; 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
- H02J3/17—Demand-responsive operation of AC power transmission or distribution networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
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- 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
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- 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 methods and systems for dynamic aggregation of fleets of loads and other power consuming and/or producing units to provide frequency regulation of a power system.
- the invention relates to modern energy systems that are based on smart grids and on the control of loads and other power units located in the grid.
- DSM Demand response management
- TSO Transmission system operators
- DSO Distribution system operator
- a single frequency value can therefore be used to control the virtual power plant operating on a synchronized power system.
- the significance of grid balancing on demand side has grown along the prevalence of renewable power sources, such as wind and solar power and a variety of load and storage types that can store energy. This kind of controllable asset is said to have flexibility, which can be used for example in frequency regulation.
- Power unit types suitable for aggregation and aggregated control are for example electric heating, cooling and ventilation appliances and batteries, e.g. for electric vehicles.
- the presented inventive control logic is planned to operate with these types of units having flexible energy charge and discharge patterns.
- the response is performed according to the hourly prices of energy or on direct requests of the Transmission system operators (TSOs).
- TSOs Transmission system operators
- Frequency regulation is mainly performed by electricity production, such as by ramping up and down hydro power and gas turbines.
- From the publication WO 2015/058279 is known a method for managing a group of energy consuming loads for frequency regulation purposes. The loads are switched on and off according to enablement decisions made in a sequence, in order to provide for the frequency regulation.
- the enablement to turn a load on is determined in a decentralized manner by a controller at each load.
- a communication protocol transfer the enablement requests to frequency regulating means which send out a frequency regulation signal, in response to which grouped load controllers try to optimize the group's ability to match the frequency regulation signal.
- a fleet of power units are dynamically aggregated by a control system at the beginning of a time frame, based on a variety of estimated or measured parameters predicting the energy demand for each unit during the time frame.
- the logic divides the power units to up and down regulation reserves and commands them
- a target may be set for the logic to ensure that the size of the aggregated up and down regulation reserves are, for example, equal in size at a set utility frequency, e.g. 50 Hz. If the utility frequency increases, the size of the up regulation reserve is increased and down regulation is decreased, for example by changing the status of a load from being idle to consume electricity. When the utility frequency falls, the size of the down regulation reserve is increased and the up regulation reserve decreased. In this manner, it is possible to provide fast and gradual regulation both up and down for transmission system operators.
- a set utility frequency e.g. 50 Hz.
- the power units are centrally monitored and controlled by the control system.
- a priority count for each power unit is established based on its present status, the desired utility frequency regulation reserves in both directions (up/down) and other possible factors.
- a revised aggregation of the power units is repeatedly calculated after certain time intervals. The power units are then re-aggregated in order to provide an optimized response to the demand of each power unit while maintaining the frequency regulation target.
- the invention brings more means for the transmission system operators (TSOs) to balance their power system. Also the aggregator and the owners of the power units gain benefit since they receive compensation out of frequency regulation. The invention also enables more solar and wind production since their unbalancing effect on the power system can be neutralized more easily.
- TSOs transmission system operators
- - frequency control can be done both up- and downwards
- the frequency value used in the regulation can be the actual real time frequency value or a frequency value that is for example an average frequency value of the last minute. Using this kind of moving average value prevents the brief changes in the frequency to affect the regulation.
- Frequency regulation is a product, typically sold by an Energy utility company on a frequency regulation market to a Transmission system operator, and the regulation time frame is part of that product.
- Smart grid is a power system of the future, where supply and demand are balanced on different time frames, in addition to power plants, also by smart resources, that are connected to the grid.
- a fleet of power units, as described in this patent, is one form of smart resource.
- Development towards smart grids increases the number of participants in the system and requires sophisticated control methods. Communication in the smart grid between the aggregator and the power units can be done real-time in several fashions.
- a power unit is a device that is able to consume electrical power from the power grid and/or produce electrical power to the grid.
- Such devices are for example electric heating boilers, AC- units, electric vehicles, diesel generator and batteries.
- Power units can have up to three different states which are power consuming/charging state, idle state and power producing/discharging state.
- the inventive method commands power units to these different states according to the frequency value and local requirements that the power unit operation has. By default the power units consume and produce the full nominal power in the I charge and discharge state. In the idle state the consumed and produced electric power is zero.
- Control System A central control computer with associated software, memory, databases and communications capabilities, which is configured to implement the inventive method and system, and therein at least to retrieve and receive information on-line and offline and to issue control commands over to power units connected to the communication network and capable of being remotely controlled.
- Individual power units are often extremely small compared to the size of the power system. With aggregation these units can be grouped so that the size of the aggregation fleet is the sum of the individual power units. Within the aggregation fleet, the units are controlled so that the desired frequency regulation effect is achieved by adjusting the size of the up and down regulation reserves. In the re-aggregation the required states of the power units are re-computed and updated.
- Up regulation reserve consists of power units which can react to decrease of the utility frequency by changing their power unit state in such sense that the utility frequency rises.
- aggregated group of electric boilers consuming electricity can operate as up regulation reserve.
- Down regulation reserve again consists of power units which react to increase of the utility frequency by changing their power unit state so that the utility frequency decreases.
- aggregated group of batteries which are discharging can operate as down regulation reserve.
- Aggregated group of batteries can be in both up and down regulation reserves if they have ability to both charge and discharge.
- Energy demand means a predicted or otherwise calculated understanding of the forthcoming energy consumption or production of a power unit, or an aggregation of such units. For each unit, its energy demand is the basis for calculating the time it should be provided with energy supply or be discharged.
- Time Frame The time period during which the power units subject to aggregation should be provided with energy supply so that they at the end of the time frame are adequately charged, heated or filled, the time frame for a water boiler being for example between 23.00 -07.00 hours.
- Priority Count A value (e.g. an integer 1...N) dynamically assigned to each power unit during the given time frame that controls which power units may be provided with energy supply during the next re- aggregation cycle.
- the priority count may be mainly based on the time in the present status, and/or the amount of time the power unit is still in demand of charging or discharging power within a given timeframe. Under certain circumstances, frequency regulation issues, environmental changes and a device-specific priority classification may also affect the priority count. Such cases may include the distance to a unit(e.g. loss factors), loads dependent on airborne consumer power lines (e.g. before an imminent storm indicating possible power outages), and other weather-based priority overrides, e.g. that all car battery priorities are adjusted downwards in favor of house warming during a sudden cold.
- Fig. 1 shows a schematic view of a fleet of aggregated power unit
- Fig.2 shows an example of a frequency regulation control curve
- Fig. 3 shows the principle of frequency regulation
- Fig. 4 shows a workflow of an inventive system
- Fig. 5 shows a workflow of a control algorithm according to the present invention.
- Fig. 1 Detailed description of Embodiments In Fig. 1 is shown schematically a fleet 10 consisting of power units 1 ... N.
- a subset of the power units (units 5 ... N) may be aggregated to a frequency regulation fleet 11.
- the assignment of power units to group 11 may be based solely on the suitability of the units to be commanded to perform the frequency regulation by an aggregator's control system 12 during the given time.
- the control system 12 is serving a frequency regulation market 13 where the aggregator is acting as a service provider, and provides frequency regulation by aggregating the power units 11 with the inventive method.
- Fig.2 shows an example of a frequency regulation control curve, which defines the proportion of up and down regulation reserves that are required in function of frequency.
- a power supply network utility frequency is allowed to vary within narrow limits, the exemplary range being shown is between 49,9 - 50,1 Hz.
- the total regulating power Pw is the combined power production and power consumption of the regulating fleet.
- Fig. 3 is shown the principle of frequency regulation in a simple example.
- the total consumption in W of six aggregated electric heaters is in the example controlled over time in order to contribute to performing frequency regulation according to the frequency values 30.
- the energy consumption curve 31 a half of the heaters are switched on at the 50 Hz level indicated by 32, having then an energy consumption of some 13 kW.
- the frequency falls towards 49,9 Hz at 33, first one and then two heaters are switched off to a minimum power rating of 5 kW, in order to up-regulate the utility frequency 30.
- the implementation may also require a hardware which is located next to the power units, and which can at least perform the commands issued over a smart grid.
- the power output and input can be controlled for example with a relay switch or by communicating directly to the control mechanisms of the power unit, for example using Modbus communication protocol.
- This may require a local hardware device with a communication gateway.
- the unit-specific hardware may measure the actual power consumption of the load, the charge status or discharge power in case of a battery, the water temperature in case of a water boiler, etc. Such additional information alleviates the need for estimates and makes any calculations on power demand or priority count etc.
- the power units need to be prioritized so that the units can be put and held in a state which they require.
- their priority usually increases since they are more prepared to change to another state. This ensures that each unit will be charged or discharged at least enough taking into consideration the local need for the unit. A number of other parameters or circumstances may affect the prioritization and
- charging or discharging of the aggregated units is distributed to make use of the whole time frame T (e.g. night time).
- Each unit type may have its own optimal charging or discharging window or time frame T, depending on the typical usage of the power unit.
- the charging time of each unit is read from a database or estimated, and all loads are then given an initial priority or charging order.
- the charging time can also be negative if the unit needs to discharge energy.
- the current charge status e.g.
- water temperature, battery charge level of the load may be read by the control system, that can be taken into account when a priority count for that load is determined, but in general the task of the initial priorities is just to cause a distributing effect, i.e. not to start charging all loads at the same time. Obviously, the overall task becomes more complex when different loads with different time frames or charge windows are involved, but for each load group with a common time frame T the procedure remains the same.
- a point P which marks the target utility frequency F of the system at 50,075 Hz. From the curve it can be seen that an up regulation reserve URR of 75% is needed, and accordingly a down regulation reserve DRR of 25 % of the total fleet. If the starting point situation of the down vs. up regulation fleets is 40/60%, the control system starts to re-aggregate the power units toward the desired 25/75 % reserve division.
- the priority count starts to reflect the actual need for charging, in order for the load to become adequately charged at the end of its time frame T.
- the inventive system enables that frequency regulation can be done fast also with relay controlled consumption, storages and production in a near-to-linear fashion, and that the regulation can be provided both up and down.
- Fig. 4 a workflow of the inventive system.
- the system is initiated for a new start of workflow, which can be started for example once a second.
- the current frequency regulation control curve 41 (see Fig. 2) and the present utility frequency value 42 are read into the central control unit at 43.
- the task of the control unit 43 is to determinate the share of up regulation reserve and down regulation reserve as described earlier.
- the unit 44 is to determine which power units (consisting of loads, storages and power generating units), considering their priority, are required to meet the desired up and down regulation reserves.
- Tasks 43 and 44 are computed in in a computer that runs the software and algorithms needed to retrieve information and to perform the actions for the blocks 40 - 47. Such a computer corresponds to a control system as explained in the definitions.
- power units 47 are aggregated either to a up regulation reserve or to a down regulation reserve and thus controlled based on the priority of each unit and power impact on the regulation at 45, and on demand forecast and other parameters at 46. These will be explained in more detail later on. Unit aggregation and controlling is continued until the desired ration of up and down regulation is achieved (Fig. 2).
- Up regulation reserve comprises loads that are switched on, batteries being charged or power production units set to idle. When the utility frequency needs to be brought upwards, a change in status of any of these will have the effect of increasing the utility frequency.
- down regulation reserve comprises loads that are switched off, batteries being discharged, or power production units set to discharge energy into the grid. When the utility frequency needs to be brought downwards, a change in status of any of these will have the effect of decreasing the utility frequency.
- batteries being able to discharge energy to a grid may have a third, "idle” status as well, which can be changed in either direction with regard to frequency regulation.
- Table 1 lists units that are in a down regulation reserve.
- a priority group column shows the priority of a unit. The higher the priority, the more the unit needs or "can afford” to be set to a different status in the next re-aggregation.
- the units may be re-aggregated once a second, for example. If a status change is not induced in the next re-aggregation period (e.g. a second), it can anyway happen in later re-aggregation periods in the order of the priority.
- the next column the "time in current state” tells the time a unit has spent in its current state. This unit time in the current status is an important, but not necessarily the only factor when determining the priority of a unit. For example some power units can tolerate shorter times between the change of the state than others.
- the third column tells the current state of the unit.
- the fourth column tells the current state of the unit.
- “Action” displays what unit is in question and what action will be taken in order to put the unit in a new state, i.e. in an up regulation reserve.
- the fifth column tells the power effect of the action in kilowatts (kW).
- the action taken on a unit in Table 1 will put it in a state which will push the utility frequency downwards.
- the unit leaves the down regulation reserve and enters the up regulation reserve, with which the utility frequency may be regulated upwards. For example, if Load 44 is set to charge, it will start consuming energy. This will lower the utility frequency.
- the Load44 will enter the up-regulation reserve, because when switched off again, it will shift the utility frequency upwards.
- the high priority (1) of Load44 means it has been deemed to have a need to be connected to power, i.e. "to charge” soon, in order to perform its duties e.g. as a water boiler in a household.
- a production plant "Production 3" switched from a discharge status, i.e. from feeding a grid, to an idle status will increase the burden on the remaining producers and thus shift the utility frequency downwards.
- Such a production unit then enters the up-regulation reserve, as the utility frequency will shift upwards when the status of the unit is reversed to discharge.
- Table 2 lists units that are in an up-regulation reserve. The action taken on a unit will put it in a state which will push the utility frequency upwards. At the same time, the unit leaves the up regulation reserve and enters the down regulation reserve, with which the utility frequency may be regulated downwards. For example, if Battery 222 is set to discharge, it will start producing energy to the grid. This will make the utility frequency to rise, and the Battery 222 will enter a down-regulation reserve, because when turned to idle or to charge status, it will shift the utility frequency downwards. A high priority of a battery in idle status means it is been deemed to be sufficiently charged, and may be set to discharge. A battery that is not connected to a grid as an energy producer, e.g.
- the battery of an electric car can be set from the status charge to idle to produce an up-regulating effect.
- a production plant "Production 5" switched from an idle status to a discharge status will increase the energy supply to the grid and thus shift the utility frequency upwards.
- Fig. 5 there are shown four stages of an inventive utility frequency regulation process, which is progressing in the direction of the horizontal arrows from left to right.
- the down-regulation reserve is marked DRR and the up-regulation reserve URR, respectively.
- 50a and 50b mark the start of a new cycle for the regulation control process, where 50a marks an initial size of the down regulation reserve DRR, corresponding to the size of the rectangle.
- 50b marks the initial size of the up regulation reserve.
- the target sizes 51c and 5 Id illustrated by dashed lines are calculated for the down and up regulation reserves, respectively.
- the target sizes 51c and 5 Id of the regulation reserves are computed by the control algorithm out of a given target utility frequency and control curve at Figure 2, to create regulation reserves needed to achieve the target utility frequency F.
- the down regulation reserve 51a need to be increased 5 la -> 5 lc
- the up- regulation reserve 5 lb need to be reduced 5 lb -> 5 Id, respectively
- the control algorithm transfers loads and other units between the up and down regulation reserves DRR and URR according to what has been described in connection with tables 1 and 2.
- the power units have also some local constraints in their operation. For example, a boiler may reach the maximum water temperature before its estimated time, and will not draw energy anymore as its own thermostat has switched it off. The same applies to a fully charged electric vehicle battery in which case the unit cannot operate as up or down regulation reserve. In these cases, if such device-specific status information is available to the grid, the control system 12 may substitute these units with new ones to join the frequency regulation fleet. It is also possible that in some locations all of the local units cannot be operating at the same time, due to bottlenecks in the electricity grid, and the control system has to take this into account.
- Example 1 - Heating apparatus the controlled load is an electric water heater (boiler, geyser).
- the heating is preferably performed during the night 23:00-7:00 when, in general, only little warm water is used and electricity is often cheap.
- the time frame T given for heating the water to be at the target temperature in the morning is 8 hours.
- the control algorithm receives a forecast of the total time required to heat the water for this time period.
- the forecast can be calculated for example by dividing the total consumed energy by the water heater during the previous day with the nominal power rating of the load, e.g. 3 kW. This estimate can be adjusted for example with a weekday, a holiday or a temperature factor, if real-time information on the water temperature in the boiler can be transmitted to the control system.
- the control algorithm allocates the water heater to frequency regulation during wanted hours within the time frame T.
- the criteria for the schedule can be for example level of the compensation for the frequency regulation, the price of the electricity or any identified requirements of the power units.
- the control algorithm may read which power units are part of the regulation fleet and starts to command these units according to the desired utility frequency and other priorities.
- the algorithm keeps track how much power the boiler still requires to satisfy its demand, and determines a priority count for them. It is also taken into account that the boiler does not change its state too often. If the boiler does not switch on despite the ON command, the algorithm may conclude that a thermostat of that boiler prevents additional heating. In this case, the control algorithm can replace the boiler with another to join the aggregation fleet and/or update the priority count of the load in such mean that it stays as long as possible in the idle state, for example to zero in the down regulation reserve.
- Example 2 Electric car batteries or accumulators.
- the controlled load is the battery pack of an electric car. Charging of the batteries may be controlled during weekdays from 19:00-7:00, when it is most likely the cars are parked at their charging post.
- the time frame T is 12 hours. During weekends, the time frame may be longer, and during vacation periods, when the car may be away long periods from its charging point, the load may not be taken into account in a frequency regulation scheme at all.
- the charging post is a fixed installation e.g. at the home of the car owner.
- the control algorithm may receive a measured and exact charge status of the batteries, and determine from that the total charge time needed to achieve a full charge at the end of the given time frame T.
- the charging time can be calculated from historical data, technical specifications (if available) concerning the particular battery pack, and also the outside temperature, which affects both the charge level attainable and the charging time.
- the charging post may be provided with e.g. a selectable charging current, which then adds some flexibility and opportunities for further optimization of the charging event.
- the control algorithm allocates the battery charger to frequency regulation and schedules the charging during the given time frame T.
- additional criteria for the schedule may exist, such as the price of the electricity (e.g. night vs. daytime pricing), change of the ambient temperature or the power rating caused by e.g. a cabin heater switched on in the car, which may change the requirements of the load.
- the control algorithm reads which chargers are part of the regulation fleet and starts to command these loads to charge or to be idle according to the desired utility frequency and other priorities.
- the controlled loads are of mixed constitution.
- suitable loads are at least those with at least a limited capacity of storing energy such as air conditioning units, ventilation units and heat pumps.
- smaller distributed power generating units such as generators, wind and solar power plants can be controlled. They may not consume electric energy but their production may be controlled.
- Other distributed power unit can be batteries, these units can often be controlled in frequency regulation with three different status: charge, discharge and idle.
- the control algorithm need to read the information of all units and decide within the framework of its own frequency regulation time frame how to optimize the load control from a frequency regulation and unit requirement point of view.
- During mornings and evenings when the consumers are using hot water and driving their cars, forming of frequency regulation fleets of such loads may not be possible.
- some aggregation may again be possible, as electric cars are again parked at a secondary charging post at workplaces, and the boilers may need re-heating. Wind and especially solar energy are also available more at daytime, so when these power assets feed a significant amount of power into the grid, they can be aggregated and regulated as well.
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Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FI20165255A FI128279B (en) | 2016-03-24 | 2016-03-24 | A method and a system for dynamic aggregation of a fleet of power units to provide frequency regulation of a power system |
| PCT/FI2017/050147 WO2017162910A1 (en) | 2016-03-24 | 2017-03-03 | A method and a system for dynamic aggregation of a fleet of power units to provide frequency regulation of a power system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3433828A1 true EP3433828A1 (en) | 2019-01-30 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP17714840.0A Withdrawn EP3433828A1 (en) | 2016-03-24 | 2017-03-03 | A method and a system for dynamic aggregation of a fleet of power units to provide frequency regulation of a power system |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3433828A1 (en) |
| FI (1) | FI128279B (en) |
| WO (1) | WO2017162910A1 (en) |
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| DE102019127054A1 (en) * | 2019-10-08 | 2021-04-08 | EnBW Energie Baden-Württemberg AG | Method for providing an electrical supply variable in an electrical supply system and device for carrying out the method |
| US12499462B2 (en) * | 2020-08-18 | 2025-12-16 | The Texas A&M University System | Methods, systems, and computer readable media for model-free privacy preserving thermal load management |
| CN114050585B (en) * | 2021-11-22 | 2024-07-09 | 国网上海市电力公司 | Coordinated control method for forming a virtual power plant using air conditioning loads in communication base stations |
| CN114709817B (en) * | 2022-03-08 | 2024-07-05 | 国网浙江省电力有限公司经济技术研究院 | An optimization method for demand-side load resources to participate in the interaction between power grid supply and demand |
| FI20225769A1 (en) | 2022-09-02 | 2024-03-03 | Elisa Oyj | Management of a distributed energy storage arrangement, DES |
| CN116388218B (en) * | 2023-03-15 | 2024-03-26 | 华能澜沧江水电股份有限公司 | Three-time frequency modulation method for power system |
| FI20245486A1 (en) * | 2024-04-17 | 2025-10-18 | Elisa Oyj | Computer-implemented method for managing third-party resources in a virtual power plant |
| FI20245503A1 (en) * | 2024-04-19 | 2025-10-20 | Vaasan Yliopisto | Provision of aggregated balancing capacity to an electricity grid |
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| US20120271475A1 (en) * | 2005-03-08 | 2012-10-25 | Jackson Kit Wang | Systems and methods for modifying utility usage |
| WO2015056109A2 (en) * | 2013-08-06 | 2015-04-23 | Systemex-Energies International Inc. | Power control device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US8706650B2 (en) * | 2009-01-14 | 2014-04-22 | Integral Analytics, Inc. | Optimization of microgrid energy use and distribution |
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2016
- 2016-03-24 FI FI20165255A patent/FI128279B/en active IP Right Grant
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2017
- 2017-03-03 EP EP17714840.0A patent/EP3433828A1/en not_active Withdrawn
- 2017-03-03 WO PCT/FI2017/050147 patent/WO2017162910A1/en not_active Ceased
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| US20120271475A1 (en) * | 2005-03-08 | 2012-10-25 | Jackson Kit Wang | Systems and methods for modifying utility usage |
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Also Published As
| Publication number | Publication date |
|---|---|
| WO2017162910A1 (en) | 2017-09-28 |
| FI20165255A7 (en) | 2017-09-25 |
| FI128279B (en) | 2020-02-28 |
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