Systems, methods and apparatus for improved energy management systems with security constrained dynamic dispatch for wind power management

• US 10,167,850 B2
• Filed: 09/14/2015
• Issued: 01/01/2019
• Est. Priority Date: 09/02/2014
• Status: Active Grant

• Current Assignee: Siemens Industry Incorporated (Siemens AG)
• Original Assignee: Siemens Industry Incorporated (Siemens AG)
• Inventors: Chen, Dingguo, Mathine, Matthew Jay
• Primary Examiner(s): Fennema, Robert E
• Assistant Examiner(s): Monty, Marzia T
• Application Number:
  US14/853,082
• Publication Number:
  US 20160273518A1
• Time in Patent Office: 1,205 Days
• CPC Class Codes: F03D 7/045 with model-based controls
• CPC Class Codes: F03D 7/048 controlling wind farms
• CPC Class Codes: F05B 2270/20 to optimise the performance of a machine
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 2300/28 The renewable source being wind energy
• CPC Class Codes: H02J 3/381 Dispersed generators
• CPC Class Codes: Y02E 10/72 Wind turbines with rotation axis in wind direction
• CPC Class Codes: Y02E 10/76 Power conversion electric or electronic aspects
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02P 70/50 Manufacturing or production processes characterised by the final manufactured product
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

Embodiments provide systems, methods and apparatus for controlling an energy delivery system including providing an energy management system (EMS) including a wind power management (WPM) system, the WPM system including a WPM application that includes a security constrained dynamic dispatch (SCDD) application; receiving input data within the SCCD application, the data including real time telemetry and dynamic unit parameters, schedule input data, and critical constraint data; validating the input data for consistency to avoid infeasibilities; pre-processing the validated input data to determine parameters including a total generation amount to be dispatched; formulating an optimization model based on the parameters and data structures storing the validated input data; executing an optimization process on the optimization model to compute a solution; post-processing the solution to determine economic basepoints; and using the determined economic basepoints in controlling operation of the energy delivery system. Numerous other aspects are provided.

Claims

1. A method of controlling an energy delivery system having a windfarm including a plurality of wind powered electric generators, and further having a plurality of non-wind powered electric generators, the method comprising:

providing an energy management system (EMS) communicatively coupled to the plurality of non-wind powered electric generators and the plurality of wind powered electric generators, the EMS including a wind power management (WPM) system, the WPM system including a WPM application that includes a security constrained dynamic dispatch (SCDD) application;

receiving input data within the SCDD application, the input data including real time telemetry, schedule input data, and critical constraint data;

validating the input data for consistency to avoid infeasibilities, and to produce validated input data;

pre-processing the validated input data to determine a first set of parameters including a total generation amount to be dispatched and additional parameters;

formulating an optimization model based on the first set of parameters and one or more data structures storing the validated input data;

executing an optimization process on the optimization model to compute a solution;

post-processing the solution to determine economic basepoints for the windfarm and for the non-wind powered electric generators;

producing a setpoint for the windfarm, such that an amount of power from the wind powered electric generators that is put into the energy delivery system is maximized within a set of security constraints of the energy delivery system;

communicating the setpoint for the windfarm to a remote terminal unit at the windfarm;

operating the plurality of wind powered electric generators of the windfarm to generate power in accordance with the setpoint communicated to the remote terminal unit at the windfarm; and

transmitting the amount of power from the wind powered electric generators via the energy delivery system.

2. The method of claim 1, wherein receiving input data includes receiving static and dynamic data from an interface to a supervisory control and data acquisition system, an interface to an automatic generation control (AGC) system, an interface to a Current Operating Plan database, and an interface to a transmission network application.

3. The method of claim 1, wherein validating the input data includes avoiding infeasibilities due to invalid input data.

4. The method of claim 1, wherein pre-processing the validated input data includes determining a list of wind powered electric generators and non-wind powered electric generators that will participate in dispatch, determining operating modes of the wind powered electric generators and non-wind powered electric generators for each time interval of a dispatch horizon, determining dispatch limits, determining ramp rates, determining resulting cost curves, determining initial outputs, and determining network critical constraints to be considered during dispatch.

5. The method of claim 1, wherein formulating the optimization model includes mapping data structures within the SCDD application to the optimization model.

6. The method of claim 1, wherein formulating the optimization model includes building an objective function and constraints based on the first set of parameters and the data structures storing the validated input data.

7. The method of claim 1, wherein post-processing the solution includes publishing the economic basepoints to a WPM database and to a real time AGC database.