Integrated Optimal Outage Coordination for Power System Stability
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Solution Overview
Problem
Current methods for outage coordination in energy delivery systems are suboptimal due to the lack of integration among analytical tools, leading to potential instability and price spikes, as they do not effectively consider the impact of outages on system operations and market outcomes.
Innovation Solution
An integrated optimal outage coordination (IOOC) system that uses a processor to obtain initial resource schedules, perform network analysis with full AC power flow, execute security constraint unit commitment functions, and determine optimized outage schedules, thereby coordinating generator resources and load management to minimize costs and ensure market stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional separate outage coordination methods are used, then operational simplicity is maintained, but system stability and market price stability deteriorate due to lack of integration among analytical tools
Solution Approach 1:
The patent combines multiple separate analytical tools (outage coordination, network analysis, security constraint unit commitment) into a single integrated system. The processor executes all three functions within one system architecture, allowing them to share data and coordinates their operations, thereby improving system stability while managing complexity through unified design.
Solution Approach 2:
The integrated outage coordination system performs multiple functions simultaneously: it conducts outage coordination, performs network analysis with full AC power flow, and executes security constraint unit commitment. This multi-functional approach allows a single system to address various aspects of power system operation, improving reliability without requiring separate specialized systems for each function.
2Productivity
If integrated optimal outage coordination is implemented, then market stability and cost minimization are improved, but computational complexity and processing requirements increase
Solution Approach 1:
The system performs network analysis and security constraint unit commitment before finalizing outage schedules. By conducting these computational tasks in advance and using their results to inform outage coordination decisions, the system optimizes market efficiency while managing computational load through staged processing rather than simultaneous complex calculations.
Solution Approach 2:
The integrated system uses feedback loops where network analysis results inform security constraint evaluations, which in turn refine outage coordination decisions. This iterative feedback mechanism allows the system to achieve optimal market outcomes by continuously adjusting decisions based on computed system states, improving productivity through intelligent iteration.
3Measurement precision
If full AC power flow network analysis is performed, then accuracy of transmission constraints is improved, but computational time and processing resources increase
Solution Approach 1:
The system performs full AC power flow network analysis as a preliminary step before outage coordination. By completing this computationally intensive but accurate analysis first, the system obtains precise transmission constraints that guide subsequent decision-making, accepting the time cost upfront to ensure accuracy in critical constraint identification.
Data Source
AI summary
Embodiments provide systems and methods for operating a power system to deliver energy. Embodiments include obtaining initial resource schedules for network analysis using a set of input and data validation functions; performing a network analysis with a full AC power flow in the energy system; executing a security constraint unit commitment function using transmission constraints output from the network analysis; determining an optimized outage schedule using the output of the security constraint unit commitment function; distributing the optimized outage schedule to a generation control and load management system; and directing operation of generator resources and managing loads to deliver energy to customers based on the optimized outage schedule. Numerous other aspects are provided.