EP3167413A1 - Procédé de gestion d'énergie et dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unité d'habitation ou pour un quartier urbain - Google Patents

Procédé de gestion d'énergie et dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unité d'habitation ou pour un quartier urbain

Info

Publication number
EP3167413A1
EP3167413A1 EP15736244.3A EP15736244A EP3167413A1 EP 3167413 A1 EP3167413 A1 EP 3167413A1 EP 15736244 A EP15736244 A EP 15736244A EP 3167413 A1 EP3167413 A1 EP 3167413A1
Authority
EP
European Patent Office
Prior art keywords
energy management
residential
electricity
power
management method
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.)
Ceased
Application number
EP15736244.3A
Other languages
German (de)
English (en)
Inventor
Heinz HANEN
Frank Diedrich
Valentin BERTSCH
Hannes SCHWARZ
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Evohaus Irq GmbH
Original Assignee
Evohaus GmbH
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 Evohaus GmbH filed Critical Evohaus GmbH
Publication of EP3167413A1 publication Critical patent/EP3167413A1/fr
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/001—Measuring real or reactive component; Measuring apparent energy
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R21/00—Arrangements for measuring electric power or power factor
    • G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
    • G01R21/1331—Measuring real or reactive component, measuring apparent energy
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • 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
    • H02J3/34—Arrangements for transfer of electric power between networks of substantially different frequency
    • 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
    • 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
    • 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
    • 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
    • Y04S20/242—Home appliances

Definitions

  • Housing units or a city district with a common connection is supplied via the self-flow of a variable-time generation power to the public grid from a decentralized own power generating device and is supplied via the mains power to the housing estate or the city district from the public grid.
  • Described is a system for the management of electrical energy in residential complexes or urban neighborhoods.
  • the object of the invention is an incentive-based consumption optimization while maintaining the comfort.
  • Residential complexes or urban quarters in the sense of this document are residential complexes with spatially or legally separate residential units or groups of residential units that share facilities.
  • the invention relates generally to residential complexes or
  • End time has completed a task. From the time of deciding that a task must be completed by the time this task must be completed, a time interval that is greater than the time that elapses often elapses
  • Household appliance in the form of its operating time needed to complete the task. In such situations, it is possible to vary the operating period of the device within the user-specified time range. It is therefore for the inhabitants of the
  • Electricity costs the amount of which between the electricity costs for the extreme cases mentioned above lies. It is obvious that there are different electricity costs at different times.
  • variable price for the purchase from the public grid by the utility is possible.
  • a time-variable work price is just as conceivable as a performance price, which is based on the power consumed per time interval.
  • Electricity costs work. Such a task is known as a load shift.
  • the challenge is to set the period of operation of electrical consumers so that they cause as low energy costs as possible while fulfilling their expected tasks within the user-specified time corridor.
  • An energy management system is known, for example, from DE 10 2008 043 914 A1 "System with two household appliances and method for energy management of such a system” and from DE 10 2010 048 469 A1 "Energy management system, method for distributing energy in an energy management system, Terminal for an energy management System and central unit for an energy management system ".
  • variable network reference price for electricity from the public network is used as the basis for the control, ie no mixed price from self-generation and external sourcing is used.
  • An energy management system is also known from DE 10 2012 205 192 AI
  • the present invention provides an energy management method for a residential complex with one or more residential units or a city district with a common connection, is supplied via the self-flow of a time-varying generation power to the public power grid from a decentralized own power generating device and the mains power to the housing estate or the city of public power supply is supplied, according to claim 1 and a corresponding
  • the invention described here solves the problem of reducing electricity costs for housing estates without reducing user comfort. This happens by having a
  • Energy Management System determines appropriate data and communicates to the residents, so that it is possible to schedule electrical loads preferably in times of low electricity prices.
  • the prerequisite for this is a timely and sufficiently fine granular recording of both the decentralized generation process and the
  • Load curves of the individual residential units The data will be selected and communicated in a way that will give the inhabitants of the settlement incentives to plan their loads flexibly and thus reduce electricity costs.
  • incentives include, for example, individual savings, reduction of CO 2 emissions caused by individual electricity consumption and comparison of individual consumption data
  • WEG condominium community
  • the inventors have recognized that such individual incentives can be given to the residents of the housing complex by combining meter data of the housing complex as a whole with individual consumption data in a suitable manner. The way of combining will be explained below.
  • the inventors have also recognized that individual consumption bills for the residents of the housing complex can be created by such a combination of meter data of the housing complex as a whole with individual consumption data without having to store individual load profiles of the residents. This is advantageous in terms of data protection concerns.
  • the present invention takes into account the fact that the
  • Load shifting potential of each residential unit does not result exclusively from the individual consumption behavior of the respective inhabitants but also from the consumption behavior of the entire housing estate.
  • the system is also capable of variable subscription prices from the public network, be it time-variable
  • the energy management system calculates forecasts for the future electricity demand on the basis of historical information and on this basis provides the residents with information that can be used for their time planning of energy consumption.
  • the identification and visualization of future electricity costs enables the residents to optimize the consumption time.
  • the energy management system transmits additional information to a
  • Such additional information relate, for example, to the expected C0 2 emissions as a function of time-varying
  • Mixing ratio of decentralized and centrally sourced electricity relate, for example, to parameters which are determined from the comparison of individual consumption data of the inhabitants of a single residential unit compared to suitable reference data of the entire residential complex.
  • Such a parameter is, for example, the representation of the individual energy costs for a certain period of a residential unit compared to the average value of a residential unit in relation to the entire residential complex. Suitable periods are by way of example day, week, month or year. Suitable ratios also refer to the
  • Electricity costs per square meter or electricity costs per resident in the residential complex.
  • Another suitable measure is exemplified by the fact that the power consumption of a particular household appliance group - for example, refrigerator or Wäschetrockner- compared to the average power consumption of all refrigerators or clothes dryer is shown in the condominium. This comparative presentation allows the residents to assess their consumption behavior in relation to that of the entire housing estate and thus to be able to identify possible optimization approaches.
  • Energy management system also their visualization.
  • a particularly simple and intuitively understandable form of the visualization is carried out by a display in the form of a traffic light with 3 possible display colors red-yellow-green. This is switched to green by the energy management system if the current and expected electricity costs are lower than a threshold to be set. In a clear transgression of this
  • a red indicator is displayed to indicate particularly high electricity costs. In all other cases, a yellow indicator is displayed.
  • the energy management system determines the electricity costs for each residential unit of the residential complex under consideration on the basis of their individual power consumption. For each reference time unit (for example quarter of an hour), the system determines the electricity costs as a function of the expected mixing ratio of decentralized and public grid-related share of the electricity demand. This mixed tariff results from the ratio of the decentralized self-generated electricity and the grid reference to the total demand according to the following formula:
  • El is the number of kilowatt hours produced by the decentralized generation plant during the period considered and consumed in the housing complex, ie the electricity consumption of the housing estate
  • Tl the costs to be charged per kilowatt hour
  • E2 is the number of kilowatt hours delivered by the grid to the housing estate during the period considered
  • Energy management system displayed as the current value and for the future as a rolling updated forecast.
  • Billing for each residential unit n on the basis of the stored load profiles and the respective mixed tariffs at the time of utilization is possible in principle. This allows the residents of the individual residential units an overview of her
  • Energy management system able to generate and use aggregated load profiles for billing and presentation to the customer. For this, the number of kilowatt hours consumed by the residential unit n in a billing period (for example, year) is added up from the network. Likewise, the number of kilowatt hours consumed by the residential unit n in this period is added up from the decentralized (own) generation. The settlement prices are then calculated by multiplying the kilowatt hours consumed by the applicable tariff according to the following formula:
  • El n ges is the number of kilowatt hours delivered by the photovoltaic system to the residential unit n in the billing period
  • Tl the costs to be charged per kilowatt hour
  • E2 n ges is the number of kilowatt hours delivered by the grid to the residential unit n in the billing period
  • the invention determines
  • C0 2 Emission values It sets the C0 2 value for energy from the photovoltaic system to 0 g / kWh and for the energy from the grid to the values called by the utility.
  • the C0 2 emission values are analogous to the
  • E2 n ges is the number of kilowatt hours delivered by the grid to the residential unit n in the billing period
  • the CO 2 emission values can also be determined for other periods of time by using, instead of E 2 n ges, the number of kilowatt hours delivered by the grid to the residential unit n in this other period.
  • Fig. 1 a typical residential complex
  • Fig. 2 is a diagram of how data of the housing estate determines the degree of self-sufficiency
  • FIG. 3 shows a diagram of how the number of kilowatt hours consumed by the residential unit n in the billing period from the photovoltaic system is determined from the "number of kilowatt hours consumed by the residential unit n the m quarter-hours" from the photovoltaic system, and analogous to the grid current ;
  • FIG. 4 shows a method explained as an exemplary embodiment of the invention as a flow chart
  • Fig. 5 shows an embodiment of a computer based on a block diagram.
  • Fig. 1 shows a typical residential complex.
  • the residential units are located in one or more houses.
  • One or more of the houses are equipped with a photovoltaic system (102).
  • the exemplary embodiment is explained below for the special case that the decentralized generation plant is a photovoltaic system.
  • the invention is generally applicable to other decentralized generation plants, for example for cogeneration units.
  • each housing unit the electrical consumers are connected to electricity meters (103).
  • This counter (103) measures the total electricity consumption of the residential unit.
  • Each unit in a house has its own electrical meter (103).
  • the total photocurrent generated is determined by a production counter (105).
  • the power consumed by all houses is determined in this embodiment by a utility meter (104).
  • the summation counter (106) is a bidirectional meter that measures both the energy flow from the grid to the condominium and the energy flow from the condominium to the grid. The information of counters (104) and (106) is used to determine the mix rate (1001) and PV self-sufficiency (204).
  • the mixed tariff (1001) is determined and displayed by the energy management system. This will be illustrated by the following example:
  • the tariff for electricity from the photovoltaic system since Tl 0,10 € per
  • the energy El generated by the photovoltaic system and consumed in the housing estate is determined, for example, as the difference between the total energy consumed in the housing estate (counter (104)) and the energy supplied from the grid to the housing estate (counter (106)).
  • the mixing tariff results from the weighted addition according to the formula (1001) [(El x T1) + (E2 x T2)] / (El + E2).
  • the mixed tariff in the example is thus 0.13 € / kWh.
  • a photovoltaic self-sufficiency level is determined and displayed by the energy management system.
  • the degree of self-sufficiency is calculated according to the following formula:
  • the degree of self-sufficiency is 67%.
  • Mixed price and self-sufficiency are determined and displayed by the energy management system.
  • the billing for the individual residential unit n is determined by way of example according to the following procedure:
  • the number of kilowatt hours consumed by the residential unit n in the billing period from the photovoltaic system (301) is calculated. This number is called El n ges . It is calculated by summing / adding the numbers El, "the kilowatt hours in the reference quarter from the
  • P n The individual settlement price is determined. This is called P n .
  • FIG. 2 shows how the degree of self-sufficiency (204) is determined from data of the housing estate (202), (203), and how from this and the individual power consumption data (103) the number of kilowatt-hours consumed by the residential unit n in this quarter-hour the photovoltaic system '(205) as well as the number of the residential unit n in this
  • FIG. 2 illustrates the method for a quarter of an hour (201).
  • Fig. 3 shows, as from the "number of the residential unit n the m - quarter hours
  • Fig. 3 illustrates the summation / addition of quarter-hours for the billing period.
  • FIG. 4 The method explained as an exemplary embodiment of the invention is shown in FIG. 4 as
  • the housing complex is connected to the external network via a medium-voltage transformer (107).
  • the transformer (107) is connected to the medium voltage network (108).
  • the information of the bidirectional counter (106) is forwarded to the computer of the energy management system (109). This calculates the current and predicted electricity prices, the key figures and others for the
  • Terminals (110) displayed. Such terminals may be exemplified PCs, tablet PCs or mobile phones.
  • traffic lights 111.
  • the traffic lights visualize the cost situation for electricity with red, green or yellow signal.
  • a green signal is sent when the self-sufficiency level is higher than a threshold.
  • a flashing red signal is shown if the grid connection rises above 70% of the previous year's maximum value and threatens to increase the network service price.
  • Fig. 5 shows an embodiment of a computer (403) based on a block diagram.
  • Processor (501) leads, for example
  • Program memory (504) and / or main memory (503) may be used by the processor (501) to store data, such as counter data or tariff data.
  • Program instructions which are stored in the program memory (504) relate in particular to the determination of at least the said electricity costs.
  • the program instructions may, for example, be comprised of a computer program stored in program memory (504) or loaded into program memory (504), for example from a computer program product, in particular a computer-readable storage medium, or via a network.
  • the processor (501) receives data via interface and data input (502). Data is, for example, meter data or tariff data. Processor (501) generates new data and outputs it via interface and data output (505). The output data is for example visualized / displayed (507) and / or to a traffic light circuit (506).

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  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Power Engineering (AREA)
  • Development Economics (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

L'invention concerne un procédé de gestion d'énergie et un dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unités d'habitation ou pour un quartier urbain avec un branchement commun par lequel une installation décentralisée de production autonome d'électricité fournit au réseau électrique public son propre courant avec une puissance de production variable dans le temps et par lequel le réseau électrique public fournit du courant du réseau public à l'ensemble d'habitations ou au quartier urbain. Le procédé est configuré de manière à : déterminer le besoin non couvert par l'installation décentralisée de production autonome d'électricité correspondant au degré d'alimentation par le réseau public 1-S d'électricité et le besoin couvert par l'installation décentralisée de production autonome d'électricité correspondant au degré d'auto-alimentation S d'électricité de l'ensemble d'habitations ou du quartier urbain ; détecter une dépendance temporelle de la consommation électrique d'une unité d'habitation ; et déterminer des coûts d'électricité pour l'unité d'habitation de l'ensemble d'habitations ou du quartier urbain en tenant compte de la dépendance temporelle déterminée du degré d'alimentation par le réseau public et du degré d'auto-alimentation ainsi que de la dépendance temporelle détectée de la consommation d'électricité de l'unité d'habitation et des tarifs respectifs pour l'électricité du réseau public et pour l'électricité de production autonome.
EP15736244.3A 2014-07-08 2015-07-08 Procédé de gestion d'énergie et dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unité d'habitation ou pour un quartier urbain Ceased EP3167413A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102014010071.5A DE102014010071A1 (de) 2014-07-08 2014-07-08 Energiemanagementsystem zur anreizbasierten Verbrauchsoptimierung
PCT/EP2015/065610 WO2016005451A1 (fr) 2014-07-08 2015-07-08 Procédé de gestion d'énergie et dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unité d'habitation ou pour un quartier urbain

Publications (1)

Publication Number Publication Date
EP3167413A1 true EP3167413A1 (fr) 2017-05-17

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP15736244.3A Ceased EP3167413A1 (fr) 2014-07-08 2015-07-08 Procédé de gestion d'énergie et dispositif de gestion d'énergie pour un ensemble d'habitations avec une ou plusieurs unité d'habitation ou pour un quartier urbain

Country Status (4)

Country Link
US (1) US20170161847A1 (fr)
EP (1) EP3167413A1 (fr)
DE (1) DE102014010071A1 (fr)
WO (1) WO2016005451A1 (fr)

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DE102015111198A1 (de) * 2015-07-10 2017-01-12 Deutsche Telekom Ag Verfahren zur Steuerung der Lastverteilung in einem Stromnetz

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Also Published As

Publication number Publication date
US20170161847A1 (en) 2017-06-08
DE102014010071A1 (de) 2016-01-14
WO2016005451A1 (fr) 2016-01-14

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