CONTROLLING AN ELECTRICAL ENERGY SUPPLY NETWORK

• US 20130204451A1
• Filed: 10/13/2010
• Published: 08/08/2013
• Est. Priority Date: 10/13/2010
• Status: Abandoned Application

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: Staehle, Samuel Thomas
• Application Number:
  US13/879,450
• Publication Number:
  US 20130204451A1
• Time in Patent Office: Days
• US Class Current: 700/291
• CPC Class Codes: G01W 1/10 Devices for predicting weather conditions computers per se G06; display devices G09
• CPC Class Codes: G06F 1/26 Power supply means, e.g. regulation thereof for memories G11C
• CPC Class Codes: H02J 2300/24 of photovoltaic origin
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy wind motors F03D
• CPC Class Codes: H02J 2300/40 wherein a plurality of decentralised, dispersed or local energy generation technologies are operated simultaneously
• CPC Class Codes: H02J 3/004 Generation forecast, e.g. methods or systems for forecasting future energy generation
• CPC Class Codes: H02J 3/28 Arrangements for balancing of the load in a network by storage of energy
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 10/56 Power conversion systems, e.g. maximum power point trackers
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 70/30 Systems combining energy storage with energy generation of non-fossil origin
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving

Abstract

A method controls an energy supply network supplying electrical loads and into which decentralized energy generators feed. The produced energy amounts depend on a current weather situation around the decentralized energy generators. To increase the stability of voltage, a mathematical network model is provided. The network model specifies a relationship between a current weather situation around the energy generator and the electrical energy produced. Weather prediction data specifying an expected future weather situation for the energy generator is determined from weather data specifying a current weather situation in the local region of the energy generator, and an expected future feed-in of electrical energy by the energy generator is determined. Control signals are generated by a control device for stabilizing a voltage level in network sections in which an expected future feed-in has been determined that will lead to a significant deviation of the voltage level from a desired voltage level.

Claims

1-9. -9. (canceled)

10. A method for controlling an electrical energy supply network supplying final electrical loads with electrical energy and in which decentralized energy generators feed the electrical energy, a produced energy amount of the decentralized energy generators depends on a current weather situation in a region of a respective decentralized energy generator, which comprises the steps of:

providing a mathematical network model in a control device of an automation system of the electrical energy supply network, the mathematical network model specifying a relationship between a current weather situation in a local region of the respective decentralized energy generator and the electrical energy fed by the respective decentralized energy generator into individual sections of the electrical supply network;

transferring to the control device weather data specifying the current weather situation in the local region of the respective decentralized energy generator;

establishing from the weather data by means of the control device weather prediction data specifying an expected future weather situation in the local region of the respective decentralized energy generator;

determining an expected future feeding-in on a part of the respective decentralized energy generator into the electrical energy supply network from the weather prediction data by means of the control device using the mathematical network model; and

creating control signals by means of the control device, the control signals being used for stabilization of a voltage level in the individual sections of the electrical energy supply network, in which, using results of the mathematical network model, the expected future feeding-in of the electrical energy has been established, which leads to a deviation of the voltage level in a respective section from a predetermined nominal voltage level which exceeds a deviation threshold value.

11. The method according to claim 10, which further comprises switching off, via the control signals, selected ones of the final electrical loads which are supplied by the respective section concerned in an event of the determined future feeding-in of the electrical energy into the respective section of the electrical energy supply network specifying a drop in the voltage level in the respective section.

12. The method according to claim 10, wherein in an event of the determined future feeding-in of the electrical energy into the respective section of the electrical energy supply network specifying a rise in the voltage level in the respective section the control signals switch on selected ones of the final electrical loads which are supplied by the respective section concerned, and/or switch off or throttle selected ones of the decentralized energy generators which feed into the respective section.

13. The method according to claim 10, which further comprises performing at least one of:

recording the weather data by measurement devices at the respective decentralized energy generator and is transferred to the control device;

or

providing the weather data by a central weather database and is transferred to the control device.

14. The method according to claim 10, which further comprises establishing the expected future weather situation in the local region of the respective decentralized energy generator using pattern recognition methods which perform a comparison of current weather data with historical weather data stored in the control device and determine from this a probable development of the weather situation in the local region of the respective decentralized energy generator by determining weather prediction data.

15. The method according to claim 10, which further comprises supplying weather forecasting data also to the control device from a weather database which specifies a future weather situation in the local region of the respective decentralized energy generators, and the weather prediction data is also determined using the weather forecasting data.

16. The method according to claim 10, wherein the weather prediction data contains information about at least one of the following values:

cloud cover;

sunlight;

fluctuation range of the sunlight;

wind strength;

wind direction; and

fluctuation range of the wind strength.

17. A control device of an automation system of an electrical energy supply network, the control device comprising:

a processor programmed to control the electrical energy supply network supplying final electrical loads with electrical energy and in which decentralized energy generators feed electrical energy, a produced energy amount of the decentralized energy generators depends on a current weather situation in a local region of a respective decentralized energy generator, said processor programmed to;

provide a mathematical network model in a control device of an automation system of the electrical energy supply network, the mathematical network model specifying a relationship between a current weather situation in the local region of the respective decentralized energy generator and the electrical energy fed by the respective decentralized energy generator into individual sections of the electrical supply network;

transfer to the control device weather data specifying the current weather situation in the local region of the respective decentralized energy generator;

establish from the weather data by means of the control device weather prediction data specifying an expected future weather situation in the local region of the respective decentralized energy generator;

determine an expected future feeding-in on a part of the decentralized energy generator into the electrical energy supply network from the weather prediction data by means of the control device using the mathematical network model; and

create control signals by means of the control device, the control signals being used for stabilization of a voltage level in the individual sections of the electrical energy supply network, in which, using results of the mathematical network model, the expected future feeding-in of the electrical energy has been established, which leads to a deviation of the voltage level in a respective section from a predetermined nominal voltage level which exceeds a deviation threshold value.

18. An automation system, comprising:

the control device according to claim 17.