Security Constrained Dynamic Dispatch for Wind Power
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Solution Overview
Problem
The integration of intermittent renewable energy sources, particularly wind power, poses challenges for energy management systems in ensuring reliable and cost-effective power distribution, as existing systems are designed for continuous power and struggle to accommodate the variability of renewable energy sources.
Innovation Solution
A security-constrained dynamic dispatch (SCDD) system within an energy management system (EMS) that includes a wind power management (WPM) application, which uses real-time telemetry and dynamic unit parameters to optimize the dispatch of wind power and other resources, ensuring grid security and economic efficiency by formulating an optimization model to determine economic basepoints for generation units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional security constrained economic dispatch (SCED) is used for power distribution, then system reliability and security are maintained, but the ability to accommodate intermittent renewable energy sources like wind power is insufficient
Solution Approach 1:
The patent implements dynamic dispatch capabilities that allow the SCED system to adapt to real-time variations in wind power generation and load demands. The system continuously updates dispatch decisions based on current system conditions, enabling it to accommodate intermittent renewable energy while maintaining security constraints through real-time optimization rather than static scheduling.
2Loss of energy
If wind power generation is maximized to achieve optimal economic benefits, then energy losses are minimized, but grid security may be compromised due to the intermittent nature of wind power
Solution Approach 1:
The system incorporates feedback mechanisms that continuously monitor wind power generation, system load, and security constraint violations. Based on this feedback, the optimization model dynamically adjusts dispatch decisions to maximize wind power utilization while preventing security violations. The feedback loop enables the system to learn from past performance and improve future dispatch decisions.
Solution Approach 2:
The patent changes key operational parameters dynamically based on system conditions. Instead of fixed dispatch schedules, the system adjusts generation levels, transmission flows, and storage charging/discharging rates in real-time based on wind availability, load demands, and security constraints. This parameter flexibility allows maximization of wind power while maintaining grid security.
3Adaptability or versatility
If real-time optimization is implemented to accommodate wind power variability, then adaptability to renewable energy improves, but computational complexity and processing requirements increase
Solution Approach 1:
The optimization problem is segmented into manageable components: security constraint checking, economic optimization, and wind power accommodation are handled as separate but coordinated sub-problems. This segmentation allows the use of specialized algorithms for each component, reducing overall computational complexity while maintaining real-time adaptability to renewable energy variations.
Data Source
AI summary
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.