EP4022730A1 - Procédé de stabilisation d'une grille d'énergie électrique - Google Patents

Procédé de stabilisation d'une grille d'énergie électrique

Info

Publication number
EP4022730A1
EP4022730A1 EP20757253.8A EP20757253A EP4022730A1 EP 4022730 A1 EP4022730 A1 EP 4022730A1 EP 20757253 A EP20757253 A EP 20757253A EP 4022730 A1 EP4022730 A1 EP 4022730A1
Authority
EP
European Patent Office
Prior art keywords
control
forecast
energy
time
time interval
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.)
Pending
Application number
EP20757253.8A
Other languages
German (de)
English (en)
Inventor
Joachim Staats
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.)
STAATS, JOACHIM
Original Assignee
Technische Hochschule Luebeck
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 Technische Hochschule Luebeck filed Critical Technische Hochschule Luebeck
Publication of EP4022730A1 publication Critical patent/EP4022730A1/fr
Pending legal-status Critical Current

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
    • H02J3/003—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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
    • Y04S40/20—Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Definitions

  • an electrical energy system contains the entirety of all the technical facilities required to generate, transmit and distribute electrical energy within certain system boundaries based on control technology.
  • control areas the areas bordered by the system boundaries are referred to as control areas.
  • the withdrawal rate, d. H. the conversion of electrical energy from the network into other forms of energy (which corresponds to energy consumption), for example thermal energy or kinetic energy (e.g. rotational energy), which is taken from the network, per unit of time is defined inversely with a positive sign.
  • the transmission system operator must compensate for the control area deviation as part of its frequency maintenance service by using positive or negative control power, the so-called control reserve. He generally acquires the subscription rights for the control reserve in advance after a prior public invitation to tender from power plants operated at partial load, the so-called rotating reserve, located inside and outside his control area.
  • the control power is initially to be provided by these power plants. When they are used, the corresponding quantities of positive and negative balancing energy must then be supplied.
  • power costs are incurred at the power price, for the supply of the control energy labor costs are incurred at the labor price.
  • the service costs are added to the network usage costs, the labor costs are charged to the balancing group manager for the supply of balancing energy based on the cause.
  • control power is essentially provided by flexible generation, i. E. H. a controllable feed-in of controllable renewable energies such as biogas plants, hydropower or hydrogen, as well as fossil fuels or nuclear energy, and fluctuating generation, d. H. a fluctuating feed-in power from non-controllable renewable energies that depend on the weather, such as wind or solar energy.
  • controllable renewable energies such as biogas plants, hydropower or hydrogen, as well as fossil fuels or nuclear energy
  • fluctuating generation d. H. a fluctuating feed-in power from non-controllable renewable energies that depend on the weather, such as wind or solar energy.
  • analog forecasting algorithms are used for the disclosure of the invention, especially for consumption and generation from renewable energies, in order to minimize the balancing energy.
  • Determination of the in the time interval [t N , t N + Dt] required control energy ⁇ E RL from the time course DPRZ (t) of the control area deviation in the time interval [t N , t N + ⁇ t] Determination of a prognosis for the control area deviation in Time interval [t N , t N + ⁇ t] by a function which uses a method from the field of artificial intelligence, preferably a Markov chain, determining a forecast DE RL ahead for the control energy required in the time interval [t N , t N + ⁇ t] from the forecast for the control area deviation in Time interval [t N , t N + ⁇ t]
  • control energy DE RL in the time interval [t N, t N + .DELTA.t] is required control energy DE RL as the integral of the time course DP RZ (t) of the control area deviation over the time interval [t N, N + .DELTA.t t] determined.
  • the forecast DE RL for the control energy required in the time interval [t N , t N + ⁇ t] is calculated as the product of the forecast for the control zone deviation in the time interval [t N , t N + ⁇ t] and the interval length ⁇ t is determined. In this way, the control area deviation and the forecast for this can be determined in a mathematically simple way.
  • one of the first system serviceability conditions is that a feed management signal Einsman (t) has the value “no feed management” at a certain point in time t or the advance control power DP RZ (t) is negative at point in time t.
  • the forecast feed-in management signal Einsman progn (t N ) in the relevant region at time t N has the value "no feed-in management" or the forecast control area deviation in the time interval I [t N , t N + Dt] is negative.
  • the invention and its preferred embodiments are based on the combination of the prognosis of various variables which determine the balance of energy generation and consumption and thus the flexibility to be used for the system convenience.
  • a significant portion of control energy can be traded within the framework of a smart balancing mechanism at least one hour in advance ("hour ahead") with regard to the determination of pre-control power and planned with regard to the market volume in terms of price as with regard to the amount of energy.
  • a higher proportion of renewable energy can be used per se, in which the regulation via an intraday market is anticipated.
  • 3a shows an hour-ahead prognosis of the advance control power in a control area of the network operator Transnet BW after a prognosis has been added to it System serviceability via the same sign as the forecast control area deviation;
  • FIG. 3b pre-control power for the control zone according to FIG. 3a after a prognosis of its system serviceability has been preceded by an opposite sign to the prognosticated network frequency deviation ("day ahead");
  • the accuracy of the hour-ahead forecast of the control area deviation with a correlation coefficient of 0.42 is significantly high relative to the measured control area deviation.
  • a further field of application is a system-useful hour-ahead forecast of the advance control energy, in which the above-mentioned applications are filtered with regard to system convenience by a combination corresponding to the control loop in FIG. 6.
  • Balancing group managers can use pre-balancing energy from any imbalances in their balancing groups by leaving them unbalanced.
  • the step from the equations first given above, taken alone (i.e. without application of system serviceability conditions) or in combination with one or more steps to determine the system serviceability of a pre-control service (i.e. with application of system serviceability conditions) enables a period of typically 60 min. - Dt RZ for the trading of the pre-balancing energy to be provided by the transmission system operator or for the corresponding decision of a balancing group manager in a smart balancing process.
  • the prognosis without system serviceability can first be compared with the historical measured values for the control area deviation according to the equations given above. This results in a corrected savings potential through advance control energy on the control area balance of 58% for positive control energy and 38% for negative control energy.
  • the dysregulatory system-unserviceable portion of Advance control energy on the control area balance is -8% for positive control energy and -17% for negative control energy.
  • FIG. 4 An interaction diagram of the agents in a forecast-based hour-ahead smart balancing is shown in FIG. 4.
  • the domain model of the software architecture on which CondEx is based in FIG. 7 shows the division of the technical logic and demonstrators of use-case modeling by means of agents which take on roles in the control of the energy system and communicate with one another via type-based messages.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

L'invention concerne un procédé de stabilisation d'une grille d'énergie électrique présentant au moins une zone de commande, comprenant les étapes suivantes relatives à la ou aux zones de commande : la prédiction d'un écart de zone de commande dans un intervalle de temps futur (en commençant par exemple une heure à l'avant) et l'énergie de commande requise dans ledit intervalle de temps à l'aide d'une fonction qui utilise un procédé du domaine de l'intelligence artificielle, de préférence une chaîne de Markov ; et la fourniture de l'énergie de commande prédite et son alimentation dans la grille d'énergie électrique dans l'intervalle de temps futur. Lors de l'utilisation du procédé selon l'invention, une excellente aptitude à planifier quantitativement la demande d'énergie de commande est obtenue, laquelle peut ainsi être manipulée quantitativement en tant qu'énergie de commande secondaire, même par l'intermédiaire d'un marché de puissance journalier. La proportion d'énergie renouvelable fluctuante de l'énergie de commande peut également être augmentée.
EP20757253.8A 2019-08-26 2020-08-11 Procédé de stabilisation d'une grille d'énergie électrique Pending EP4022730A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019212773.8A DE102019212773A1 (de) 2019-08-26 2019-08-26 Verfahren zur Stabilisierung eines elektrischen Energienetzes
PCT/EP2020/072496 WO2021037553A1 (fr) 2019-08-26 2020-08-11 Procédé de stabilisation d'une grille d'énergie électrique

Publications (1)

Publication Number Publication Date
EP4022730A1 true EP4022730A1 (fr) 2022-07-06

Family

ID=72088073

Family Applications (1)

Application Number Title Priority Date Filing Date
EP20757253.8A Pending EP4022730A1 (fr) 2019-08-26 2020-08-11 Procédé de stabilisation d'une grille d'énergie électrique

Country Status (4)

Country Link
EP (1) EP4022730A1 (fr)
JP (1) JP2022550507A (fr)
DE (1) DE102019212773A1 (fr)
WO (1) WO2021037553A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113962429B (zh) * 2021-09-03 2024-04-05 华南理工大学 一种求解负荷置换的优化方法、系统、装置及介质
DE102022105138A1 (de) * 2022-03-04 2023-09-07 Dehn Se Verfahren und System zum Überwachen eines Spannungsnetzes, Verfahren zum Trainieren einer künstlichen Intelligenz zur Prognose eines zukünftigen Zustands eines Spannungsnetzes, Computerprogramm sowie computerlesbarer Datenträger
DE102022129659A1 (de) 2022-11-09 2024-05-16 Westnetz Gmbh Verfahren für ein Lastmanagement eines Niederspannungsnetzes, Lastmanagementsystem und Computerprogrammprodukt

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
BR112015025292A2 (pt) * 2013-04-09 2017-07-18 Siemens Ag método para operação de toda uma rede de suprimento de energia, onde a geração de energia é descentralizada
EP2806520A1 (fr) * 2013-05-22 2014-11-26 Vito NV Système et procédé de commande de réseau d'alimentation électrique
DE102017106465A1 (de) * 2017-03-27 2018-09-27 LichtBlick SE Hybride Nutzung von Energiespeichern
CN109659982B (zh) * 2019-02-02 2022-05-10 河海大学 一种新能源电力系统时滞依赖稳定性的判定方法

Also Published As

Publication number Publication date
WO2021037553A1 (fr) 2021-03-04
DE102019212773A1 (de) 2021-03-04
JP2022550507A (ja) 2022-12-02

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