WO2016120240A1 - Procédé d'amélioration de la charge d'un réseau à basse tension - Google Patents

Procédé d'amélioration de la charge d'un réseau à basse tension Download PDF

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Publication number
WO2016120240A1
WO2016120240A1 PCT/EP2016/051516 EP2016051516W WO2016120240A1 WO 2016120240 A1 WO2016120240 A1 WO 2016120240A1 EP 2016051516 W EP2016051516 W EP 2016051516W WO 2016120240 A1 WO2016120240 A1 WO 2016120240A1
Authority
WO
WIPO (PCT)
Prior art keywords
network
low
load
voltage
components
Prior art date
Application number
PCT/EP2016/051516
Other languages
German (de)
English (en)
Inventor
Tobias GAWRON-DEUTSCH
Alfred Einfalt
Jan Wieghardt
Yaroslav BARSUKOV
Jürgen Götz
Nicolas GÜMBEL
Ralf MOSSHAMMER
Original Assignee
Siemens Aktiengesellschaft
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 Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Priority to EP16701924.9A priority Critical patent/EP3251076A1/fr
Publication of WO2016120240A1 publication Critical patent/WO2016120240A1/fr

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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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"

Definitions

  • the invention relates to a method for improving the utilization of a low voltage network using a communication network between components of the
  • Local grid transformers may vary depending on the destination grid planning of the respective distribution system operator, but are typically 250 or 400 kVA for rural areas and 630 or 800 kVA for inner city areas.
  • low-voltage network in the sense of this invention designates a part of the distribution network, ie one
  • Section that is powered by a particular local power transformer with electrical energy is powered by a particular local power transformer with electrical energy.
  • Components of the low-voltage network can be:
  • Generators e.g., photovoltaic systems
  • Small wind turbines storage (eg batteries, Heat pumps), eg charging stations for electric vehicles, flexible consumers (eg electric storage heaters, buildings with and without building automation system and
  • actuators convert electrical energy into mechanical motion or other physical quantities (eg pressure or temperature)) and network equipment (transformers, lines, fuses, meters such as smart meters, etc.).
  • the classical grid operation in the electricity supply is due to the increasing penetration of decentralized, usually renewable, power generation plants (DEA, usually in the power range from 3 to 100 kW) before large
  • the smart grid or intelligent power network includes the communicative networking and control of power generators, storage, electrical consumers and network resources in energy transmission and power
  • smart buildings also referred to as smart homes or smart buildings
  • components such as fluctuating generators (e.g.
  • Building automation encompasses the entirety of monitoring, control, and control systems
  • Characteristic feature is the continuous networking by means of a bus system.
  • Building automation systems must therefore optimize the internal requirements of electrical and thermal energy for the individual components of the building, create local (building-related) forecasts and have flexible tariff allocations which have market-specific or network-specific proportions.
  • the energy producing units are in increasingly complex contexts, e.g. one
  • Combined heat and power plant generates electrical energy and heat for a district heating network and / or it is in addition to
  • Cogeneration plant prescribe a reduction in the supply of electrical energy, with the result that less district heating is supplied, but by the operator of the
  • a low voltage network has several active components that work together in the low voltage grid. There are several types of consumers, producers and hybrids. The connected buildings can not have remote-readable counters, with a so-called "smart meter"
  • VPP Virtual Power Plants
  • Feed-in limit which prevents too much power from being fed into the low-voltage grid when a local limit value is exceeded.
  • Component is sufficient, nor that not too strong
  • the individual components in particular the generators, can only be in the green state, where there are no restrictions from the network view and all market mechanisms can be used without restriction, or in the state red, where the network constraints demand hard requirements for the supply and thus local market mechanisms for a limited time are restricted, work.
  • the yellow state within the network boundary conditions, a market-based
  • Low-voltage grid or the energy supplied to the individual market participants (for example VPP, ONS) with regard to the currently valid energy price.
  • the aim of the present invention is to provide the technical
  • the fulfillment of the technical task includes compliance with the network constraints and the guarantee of the permanent power supply of the
  • the economic aspect implies compliance with the utilization of the low-voltage grid (for example by the VPP, producers or consumers) so that the individual components are as economical and efficient as possible
  • network data is sent from controllable (“intelligent") components to a central computer, - Wherein the central computer based on these network data performs a network state forecast and a utilization analysis of the individual controllable components and
  • VPP Virtual Power Plants
  • photovoltaic systems and their storage, small wind turbines, smart meters or smart buildings.
  • small wind turbines small wind turbines
  • smart meters smart buildings.
  • controllable components present utilization of the controllable components is communicated, so possibly the individual controllable
  • Components can perform a load balance with each other within the same low-voltage network, with a Load balancing usually includes a load shift or a feed change. It should be noted that the load balancing with the help of another
  • the exchange value can be fixed or dynamically according to the current
  • Auctions are determined. Providing some form of flexibility, ie offering, holding and retrieving energy, may be provided by the network operator or
  • Pre-stage network protection consisting essentially of a central computer (computerized system), e.g. in a distribution station of the low-voltage network
  • This pre-primary network protection solves at least two tasks: Firstly, it supports the distribution system operator in predicting the network situation in the future, by making production and consumption forecasts for the low-voltage grid
  • Distribution system operator warn. Producers and consumers can then assess the consequences of such an intervention and take timely countermeasures. If e.g. The distribution system operator wants to throttle the supply of energy via the transformer of the low voltage network in the superimposed medium-voltage network at a given time, can from this point more energy from producers in the low-voltage network or from storage in the
  • Low-voltage network can be fed, and / or the
  • Load reduction of a smart building can be reduced or postponed to later.
  • the network state forecast may be e.g. as a result, the states of the low voltage network provide similar to the network traffic lights: the network may be in the green state, where there are no restrictions from the network view, or in the state red, where in some or all network nodes there are injuries
  • the network state forecast provides a red state in the future, with the above-described flexibilities being retrieved to prevent the red state.
  • the yellow state it is possible to differentiate between two further states, the "yellow-green" state, in which the offered ones
  • a network state forecast is e.g. from a set of network nodes for each existing one
  • Time series are used or created by substitute value generation based on available data time series.
  • the most important time series are the load curve (feed-in power and / or consumption), the expected voltage and
  • the central computer performs a comparison of
  • the central computer provides forecasts, which predict when it will come to problems with network security and what countermeasures will be necessary. In doing so, he is able to by retrieving the available
  • the mesh condition forecast can be of varying complexity
  • the network state forecast which is performed based on the network data of the individual controllable components, is supplemented by forecasts based on weather data and / or historical data. This makes it possible to refine the grid condition forecast.
  • non-controllable components from the central computer for further, non-controllable components a - especially generic - load profile created and this in the
  • Net State Forecast is recorded. This means that even “non-intelligent” components, such as households or buildings without smart meters, can be taken into account in the grid condition forecast.
  • controllable components can be selected for the solution of the network bottleneck.
  • a central computer preferably a separate computer in the local network station of the low-voltage network or in the control room of the network operator is used.
  • the central computer is responsible for a low-voltage network.
  • the central computer is located in the local network station next to the transformer of the
  • Low voltage networks e.g. through virtualization.
  • the virtualization computer is located at a network-topologically useful node, such as a substation or data center.
  • a network-topologically useful node such as a substation or data center.
  • controllable components for example, the building management system or the energy management system for photovoltaic systems
  • time intervals are preferably in the range of 15 minutes to one hour.
  • Time interval of less than 15 minutes only bring about a comparatively small improvement of the overall system.
  • longer intervals could be used to more robustly integrate supraregional VPPs or other networks, for example
  • Network data are sent once a day at a specific time to the central computer, which after the creation of the network state forecast and the load analysis not only the controllable components to perform a
  • Load balancing contacted but possibly also the surrounding low-voltage networks.
  • the invention also relates to a system for carrying out the method according to the invention, comprising
  • Low-voltage network and a central computer wherein controllable components are provided, the network data can be sent to the central computer, and wherein the central computer is designed such that this from the network data, a network state forecast and a
  • Load balancing can be requested.
  • the invention realizes a first time
  • each feed-in node may have its profit
  • the network protection according to the invention can on the one hand be operated regionally, since it takes care of a small part of a low-voltage distribution network, and on the other hand
  • Low-voltage network can be provided.
  • the concept is based on the fact that the individual components exchange information not only about their current state, but also about their schedules (ie their planned future workloads).
  • the invention provides a
  • Network protection e.g., based on fault current analysis.
  • Equipment of the low voltage network up to the limits of the nominal load capacity by building a traffic light system, which is a cooperative behavior of the components of the
  • Low voltage network allows. From the central computer can with the network state forecast also the
  • Network edge conditions e.g., the nominal load capacity
  • Components are sent so that they can be taken into account by the components, so are not exceeded.
  • Fig. 1 is a schematic representation of two conventional
  • Fig. 2 is a schematic representation of two
  • FIG. 3 shows a flow chart for the method according to the invention in connection with the different types of low-voltage networks according to the invention
  • Fig. 1 shows an example of the scheme of two similar low-voltage networks 1, 2, which are supplied via an energy distribution network 3 and each a local power transformer 4 with electrical energy.
  • Each low-voltage grid 1, 2 has non-controllable components, such as buildings 5 or households, and controllable components, such as smart buildings 6 (intelligent buildings - both residential and
  • Smart Buildings 6 have an energy management system that generally coordinates the procurement, conversion, distribution and use of energy, in this case electrical energy. Coordination is foresighted, organized, systematic and taking into account environmental and economic objectives. It comprises organizational and information structures including the necessary technical measures, such as Software.
  • Energy management system therefore includes according to the invention
  • data links e.g., data lines
  • FIG. 1 two virtual power plants VPP1, VPP2 are provided, each with
  • Components of various low-voltage networks 1, 2 are connected, namely in this example with decentralized power generators (photovoltaic 7, wind turbines 8,
  • decentralized - generally relatively small - power generation units such as
  • Biogas plants but also from small wind turbines and mini or micro combined heat and power plants to a network that can provide demand-led electrical power. Virtual because the power plant has more than one location.
  • Power plant VPP1, VPP2 are interconnected via their own data links 11. If now a - represented in Fig. 1 by a lightning - network problem (eg very strong overvoltage over several
  • the controllable local power transformer 4 is first adjusted to the lowest level. In the example, this is not enough and the distribution system operator must prescribe a reduction of the feed-in power to the systems that can receive the signals (Smart Buildings 6 in this example).
  • the central computer 12 is connected by a communication network 13 to the individual components of the low-voltage network 1, 2
  • the communication network 13 may be in a
  • Low-voltage network 1, 2 exist, so that a power line communication (PLC) is realized.
  • PLC power line communication
  • separate data connections can be made or other existing data connections (for example from smart meters) can be used.
  • the smart buildings 6 and generating plants 7, 8, 21 report their timetables, which they have negotiated with the respective VPP operators of the virtual power plants VPP1, VPP2, to the central computer 12 in FIG respective local network station. For example, at 11am, the buildings and power plants send the
  • Infeed timetable for the next day (0-24h). This consists, for example, of a feed-in power in watts for each 15-minute time window (ie 96 values). In the case of buildings, the value can also be negative - the building then draws energy from the grid. To get a more complete picture will not be pre-announced for all
  • Connected components created the network data based on historical data and standard network data.
  • Each newly created network state forecast is transmitted to the buildings 6 and generating plants 7, 8, 21 in a timely manner.
  • Capacity utilization according to utilization analysis could be asked to load balance. Are offered by the components 4, 6-11 total more load balancing than for
  • the central computer 12 selects which load balancing are performed.
  • Utilization analysis and the request for load balancing are carried out by components 4, 6-11, purely voluntarily and only according to internal criteria. Therefore, it is a cooperative system. If every participant acts purely selfish and does not change his behavior, then everyone will
  • the inventive method can as follows in the
  • Low-voltage network 1, 2 are here in power generator 7, 8, 21, electric vehicles or their charging stations 9,
  • Controlled control units 15 which is monitored by a higher-level controller 16 (an object manager, such as a building's energy management system).
  • a higher-level controller 16 an object manager, such as a building's energy management system.
  • information about energy price and / or amount of energy can be exchanged and the controller 16 or the control and regulation units 15 send correspondingly different control commands to the controllable components 4, 6-11.
  • information about energy price and / or electrical power can be exchanged and the controller 16 or the control and regulation units 15 according to others
  • the central computer 12 retrieves the flexibilities offered by the controllable components 4, 6-11, ie the voluntarily offered change of the load, and carries out the load balancing, which includes a load shift or a feed change, so that the red state is prevented can be.
  • the load balance can also be supplemented by another
  • Power or load (continuous arrow) sends control commands that also run on the central computer 12 according to the invention and from this now according to the
  • Control units 15 are forwarded. Just
  • Priority are sent without interference by the central computer 12 directly to the controller 16 and the control and regulation units 15.
  • the central computer 12 operated according to the invention should have such a case of direct penetration, e.g. from
  • Treatment corresponds in Fig. 1) largely avoid. However, it is necessary to provide the possibility of direct penetration.
  • VPP1 first virtual power plant (Virtual Power Plant)
  • VPP2 Second Virtual power plant (Virtual Power Plant)

Abstract

L'invention concerne un procédé d'amélioration de la charge d'un réseau à basse tension (1, 2) en utilisant un réseau de communication (13) entre les composants du réseau à basse tension. Des données de réseau des composants commandables (4, 6-11) sont envoyées à un ordinateur central (12) qui, en se basant sur ces données de réseau, effectue une prévision d'état du réseau et une analyse de charge des composants commandables (4, 6-11) individuels, puis réalise une comparaison de la prévision d'état du réseau et de l'analyse de charge entre les composants commandables (4, 6-11) individuels, après quoi les composants commandables (4, 6-11) individuels qui peuvent modifier leur charge conformément à l'analyse de charge sont invités à procéder à une compensation de charge.
PCT/EP2016/051516 2015-01-29 2016-01-26 Procédé d'amélioration de la charge d'un réseau à basse tension WO2016120240A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP16701924.9A EP3251076A1 (fr) 2015-01-29 2016-01-26 Procédé d'amélioration de la charge d'un réseau à basse tension

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ATA50068/2015 2015-01-29
AT500682015 2015-01-29

Publications (1)

Publication Number Publication Date
WO2016120240A1 true WO2016120240A1 (fr) 2016-08-04

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Cited By (7)

* Cited by examiner, † Cited by third party
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WO2018193097A1 (fr) 2017-04-21 2018-10-25 Wobben Properties Gmbh Station de charge pour charger plusieurs véhicules électriques, en particulier des voitures électriques
DE102017123374A1 (de) * 2017-10-09 2019-04-11 Westnetz Gmbh Multiple Verwendung von Energiespeichern
DE102018109078A1 (de) * 2018-04-17 2019-10-17 Wobben Properties Gmbh Ladestation zum Laden von Elektrofahrzeugen
DE102018109077A1 (de) * 2018-04-17 2019-10-17 Wobben Properties Gmbh Ladestation zum Laden von Elektrofahrzeugen
DE102018125529A1 (de) * 2018-10-15 2020-04-16 Wobben Properties Gmbh Dynamisches Windkraftwerk
EP3778292A1 (fr) * 2019-08-14 2021-02-17 Wobben Properties GmbH Procédé de fonctionnement d'une station de charge pour véhicules électriques et station de charge
CN117390233A (zh) * 2023-12-11 2024-01-12 中国建筑西南设计研究院有限公司 一种建筑工程中供电网络系统的负荷容量传递方法和系统

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DE102012103081A1 (de) * 2011-04-08 2012-10-11 Sma Solar Technology Ag Optimiertes Lastmanagement
DE102013222277A1 (de) * 2013-03-15 2014-09-18 Cbb Software Gmbh Steuerung von dezentralen Energieerzeugern und/oder Verbrauchern in einem elektrischen Verbundnetz

Cited By (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018193097A1 (fr) 2017-04-21 2018-10-25 Wobben Properties Gmbh Station de charge pour charger plusieurs véhicules électriques, en particulier des voitures électriques
DE102017108562A1 (de) * 2017-04-21 2018-10-25 Wobben Properties Gmbh Ladestation zum Laden mehrerer Elektrofahrzeuge, insbesondere Elektroautomobile
US11192465B2 (en) 2017-04-21 2021-12-07 Wobben Properties Gmbh Charging station for charging multiple electric vehicles, in particular electric cars
DE102017123374A1 (de) * 2017-10-09 2019-04-11 Westnetz Gmbh Multiple Verwendung von Energiespeichern
DE102018109077A1 (de) * 2018-04-17 2019-10-17 Wobben Properties Gmbh Ladestation zum Laden von Elektrofahrzeugen
WO2019201781A1 (fr) 2018-04-17 2019-10-24 Wobben Properties Gmbh Station de charge destinée à charger des véhicules électriques comprenant un équipement de commande pour la détermination d'une capacité équivalente d'accumulateur d'un accumulateur virtuel de précharge et procédé associé
WO2019201771A1 (fr) 2018-04-17 2019-10-24 Wobben Properties Gmbh Station de charge et procédé de charge de véhicules électriques
CN112313854A (zh) * 2018-04-17 2021-02-02 乌本产权有限公司 包括用于虚拟预充电存储器的等效存储器容量的控制装置的用于对电动车辆充电的充电站和所属的方法
DE102018109078A1 (de) * 2018-04-17 2019-10-17 Wobben Properties Gmbh Ladestation zum Laden von Elektrofahrzeugen
US11491888B2 (en) 2018-04-17 2022-11-08 Wobben Properties Gmbh Charging station for charging electric vehicles, comprising a control device for determining an equivalent storage capacity of a virtual precharge store, and associated method
US11697354B2 (en) 2018-04-17 2023-07-11 Wobben Properties Gmbh Charging station with control device and method for charging electric vehicles
DE102018125529A1 (de) * 2018-10-15 2020-04-16 Wobben Properties Gmbh Dynamisches Windkraftwerk
WO2020078876A1 (fr) 2018-10-15 2020-04-23 Wobben Properties Gmbh Centrale éolienne dynamique
EP3778292A1 (fr) * 2019-08-14 2021-02-17 Wobben Properties GmbH Procédé de fonctionnement d'une station de charge pour véhicules électriques et station de charge
DE102019121848A1 (de) * 2019-08-14 2021-02-18 Wobben Properties Gmbh Verfahren zum Betreiben einer Ladestation für Elektrofahrzeuge
CN117390233A (zh) * 2023-12-11 2024-01-12 中国建筑西南设计研究院有限公司 一种建筑工程中供电网络系统的负荷容量传递方法和系统
CN117390233B (zh) * 2023-12-11 2024-02-13 中国建筑西南设计研究院有限公司 一种建筑工程中供电网络系统的负荷容量传递方法和系统

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