Multi-Energy System Planning via Security Region Intersection
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Solution Overview
Problem
Current methods for security region analysis in multi-energy systems lack universality, portability, and fail to provide explicit analytical expressions, leading to suboptimal planning results due to inadequate consideration of load capacity in operation scenarios.
Innovation Solution
A method and apparatus for planning a multi-energy system based on security region identification, involving the establishment of a matrix model to describe energy conversion relationships, identification of feasible domains under various operation scenarios, calculation of a security region by intersecting these domains, and determination of a target scheme with the highest load fitness rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current security region analysis methods are used in multi-energy systems, then analysis can be performed, but the methods lack universality and portability, and fail to provide explicit analytical expressions
Solution Approach 1:
The patent applies universality by developing a security region analysis method that can be applied to various multi-energy system configurations and operation scenarios. The method uses a standardized mathematical framework with matrix models that can accommodate different energy conversion elements (N ≥ 1) and various operational conditions, making the analysis approach universally applicable across different system architectures while maintaining the ability to provide explicit analytical expressions through the defined mathematical procedures.
Solution Approach 2:
The patent replaces traditional numerical or simulation-based security region analysis with a mathematical analytical approach using matrix models and linear programming. By substituting computational mechanics with analytical mathematics, the method provides explicit analytical expressions that directly characterize security regions without requiring iterative numerical solutions, thereby eliminating information loss and providing closed-form solutions for multi-energy system planning.
2Productivity
If alternative planning schemes are evaluated without considering load capacity in operation scenarios, then planning can be completed, but suboptimal planning results are obtained
Solution Approach 1:
The patent applies preliminary action by evaluating the load capacity and security regions of alternative planning schemes during the planning stage itself, rather than waiting for operation. The method calculates security regions and assesses load capacity constraints for each alternative scheme before final selection, ensuring that planning decisions are made with full awareness of operational limitations. This preliminary evaluation prevents suboptimal planning by incorporating reliability considerations into the planning process from the outset.
Solution Approach 2:
The patent implements feedback by using the calculated security regions and load fitness rates to iteratively evaluate and compare alternative planning schemes. The analysis provides feedback on how each scheme performs under different operation scenarios, allowing planners to select schemes that optimize both productivity and reliability. The feedback mechanism ensures that planning decisions are informed by quantitative assessments of load capacity and security constraints.
Data Source
AI summary
A multi-energy system planning method is disclosed based on security region identification. The method includes obtaining alternative planning schemes from a multi-energy system planning department; for each alternative scheme, establishing a matrix model for describing energy conversion relationships in the multi-energy system, in which the multi-energy system comprises N energy conversion elements, N being an integer greater than or equal to 1; identifying N feasible domains of the multi-energy system under N operation scenarios, in which the i-th energy conversion element is out of operating under the i-th operation scenario, and calculating a security region of the multi-energy system by intersecting the identified feasible domains under N operation scenarios; calculating a load fitness rate of each alternative scheme based on each security region; and selecting an alternative scheme with the highest load fitness rate as a target scheme for planning the multi-energy system.