METHOD AND SYSTEM FOR OPERATING AN AUTONOMOUS ENERGY SUPPLY NETWORK

• US 20170256948A1
• Filed: 03/01/2017
• Published: 09/07/2017
• Est. Priority Date: 03/01/2016
• Status: Active Grant

• Current Assignee: Siemens AG
• Original Assignee: Siemens AG
• Inventors: FROEHNER, WIEBKE, REISCHBOECK, MARKUS, WERNER, THOMAS
• Granted Patent: US 10,263,427 B2
• Time in Patent Office: Days
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: G05B 2219/2639 Energy management, use maximum of cheap power, keep peak load low
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2300/10 The dispersed energy generation being of fossil origin, e.g. diesel generators
• 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 2310/10 The network having a local or delimited stationary reach
• CPC Class Codes: H02J 2310/16 The load or loads being an Information and Communication Technology [ICT] facility
• CPC Class Codes: H02J 2310/64 The condition being economic, e.g. tariff based load management
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• 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: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 50/10 Energy trading, including energy flowing from end-user application to grid

Abstract

An autonomous energy supply network has energy producers and energy consumers that are driven by a local control device. The following steps reduce the parameterization outlay required for the operation of the autonomous energy supply network: provision of model data of the autonomous energy supply network in a data memory of a computing device superordinate to the local control device, the model data specifying the respective energy producers and their operating parameters; determination of an operating plan for the autonomous energy supply network with the computing device by using the model data, the operating plan specifying the operating state of the autonomous energy supply network during a particular time interval; transmission of the operating plan to the local control device; and driving of the energy producers and/or the energy consumers according to the specifications of the operating plan by the local control device.

Claims

1. A method of operating an autonomous energy supply network, the energy supply network including a plurality of energy producers and a plurality of energy consumers, and a local control device configured to drive at least one of the energy producers and energy consumers, the method comprising:

providing model data of the autonomous energy supply network in a data memory of a computing device that is superordinate to the local control device, the model data specifying the respective energy producers and associated operating parameters;

determining an operating plan for the autonomous energy supply network with the computing device by using the model data, the operating plan specifying an operating state of the autonomous energy supply network during a particular time interval;

transmitting the operating plan to the local control device; and

driving one or both of the energy producers and the energy consumers with the local control device according to specifications of the operating plan.

2. The method according to claim 1, wherein:

the step of determining the operating plan by way of the computing device for the respective time interval comprises determining an expected delivery power of the respective energy producers; and

using the expected delivery power of the respective energy producers in order to determine the operating plan.

3. The method according to claim 2, which comprises:

determining a weather forecast for a location of the autonomous energy supply network for the respective time interval by way of the computing device; and

for those energy producers whose delivery power depends on a current weather condition at the location of the respective energy producer, determining an expected delivery power for the respective time interval by using that information of the weather forecast which is relevant for the operation of the respective energy producer, and at least some of the model data.

4. The method according to claim 1, which comprises acquiring the model data as user entries via a data editor provided by the computing device or connected thereto, and storing the model data in a data memory of the computing device.

5. The method according to claim 1, wherein the computing device is a data processing device configured as a cloud computer system.

6. The method according to claim 1, wherein the operating plan for the respective time interval comprises an overall operating plan, which specifies an electrical power at a network connection point of the autonomous energy supply network, and partial operating plans for the energy producers and/or energy consumers of the autonomous energy supply network.

7. The method according to claim 6, wherein the partial operating plans respectively comprise at least one specification of an activation state and a setpoint value for the power output or the power demand of the respective energy producer or energy consumer.

8. The method according to claim 7, wherein the partial operating plans also comprise a specification of costs which are incurred during an energy production of the respective energy producer or the energy consumption of the respective energy consumer.

9. The method according to claim 6, which comprises:

during operation of the autonomous energy supply network by the local control device, forming a current power balance of the autonomous energy supply network as a difference between a power delivered to the autonomous energy supply network and a power drawn therefrom;

determining with the local control device a positive reserve power and a negative reserve power of the autonomous energy supply network;

comparing the current power balance with the positive reserve power and the negative reserve power; and

using a result of the comparing step for driving the energy producers.

10. The method according to claim 9, which comprises:

when a power balance is less than or equal to the positive or negative reserve power, driving the respectively switched-on energy producers correspondingly in order to adapt their power to be delivered; and

when the power balance which is greater than the positive or negative reserve power, modifying an activation state of at least one energy producer.

11. The method according to claim 10, which comprises, if a power balance is greater than the positive or negative reserve power and there is no further energy producer whose activation state can be modified, modifying an activation state of at least one energy consumer.

12. The method according to claim 1, which comprises:

acquiring measurement values which specify an operating state of the energy producers and/or energy consumers and/or of the entire autonomous energy supply network at a network connection point by way of the local control device during operation of the autonomous energy supply network;

transmitting at least some of the measurement values and/or values derived therefrom to the computing device; and

determining with the computing device an updated operating plan for the current time interval or a time interval subsequent thereto by using the transmitted measurement values and/or the values derived therefrom.

13. The method according to claim 1, which comprises:

determining with the computing device respective operating plans for a plurality of autonomous energy supply networks; and

driving the respective energy producers and/or energy consumers of the plurality of autonomous energy supply networks by the respective local control device according to the specifications of the respective operating plan.

14. A system for operating an autonomous energy supply network, the autonomous energy supply network having a number of energy producers and a number of energy consumers, the system comprising:

a local control device configured to drive the energy producers and/or the energy consumers; and

a computing device that is superordinate to said local control device, said computing device including a data memory for providing model data of the autonomous energy supply network, which specify the respective energy producers and their operating parameters;

wherein

said computing device being adapted to determine an operating plan for the autonomous energy supply network by using the model data and to transmit the operating plan to sid local control device, the operating plan specifying an operating state of the autonomous energy supply network during a particular time interval; and

said local control device being configured to drive the energy producers and/or the energy consumers according to the specifications of the operating plan.

15. The system according to claim 14, wherein:

the system is configured to operate a plurality of autonomous energy supply networks; and

the respective autonomous energy supply networks each having a respectively assigned local control device connected to said computing device.