Energy Storage Programming Under Power-Gas Reliability Constraints
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for programming energy storage devices in power-gas coupling systems fail to effectively ensure the reliability and sufficient long-term reserve capacity, particularly due to the lack of comprehensive consideration of the coupling characteristics between the electric power and natural gas systems.
Innovation Solution
A method that utilizes monitoring equipment to gather system parameters, applies Monte Carlo sampling for determining operating states based on component reliability, and employs a programming model with benders decomposition to optimize energy storage device programming, ensuring reliability constraints are met through accurate and efficient programming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional programming methods are used for energy storage devices in power-gas coupling systems, then the programming process is simpler, but the reliability and sufficient long-term reserve capacity of the system cannot be effectively ensured
Solution Approach 1:
The patent segments the power-gas coupling system into distinct components (power system, gas system, energy storage devices) and models their coupling relationships separately. The programming approach divides the system into operational units that can be analyzed independently while maintaining their interconnections, allowing complex reliability assessment without requiring complete system reprogramming.
Solution Approach 2:
The patent introduces an intermediary programming framework that mediates between the power system and gas system through energy storage devices. This intermediary layer captures the coupling characteristics and reliability constraints, enabling reliable programming without directly complexifying the entire system model.
2Measurement precision
If coupling characteristics of power and gas systems are comprehensively considered, then the programming accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent applies local quality by focusing programming accuracy on specific critical components and coupling points where reliability constraints are most significant. Rather than uniformly complexifying the entire system model, the approach enhances precision locally at energy storage device interfaces and coupling characteristics while maintaining simpler modeling elsewhere.
Solution Approach 2:
The patent transforms the complex coupling characteristic modeling into manageable parameter relationships. By changing the representation of coupling effects into standardized parameters and constraints, the methodology achieves high programming accuracy without proportionally increasing computational complexity.
3Productivity
If energy storage devices are programmed without considering natural gas system failures, then the programming process is faster, but the safe and stable operation of electric power system cannot be ensured
Solution Approach 1:
The patent implements preliminary action by pre-establishing reliability constraints and coupling characteristic models that account for natural gas system failures. These preliminary formulations are integrated into the programming framework before actual energy storage device programming occurs, enabling fast execution without sacrificing reliability consideration.
Solution Approach 2:
The patent applies preliminary anti-action by proactively incorporating failure scenario constraints into the programming model. By pre-defining anti-failure measures and reliability boundaries based on natural gas system vulnerability, the approach ensures power system stability without requiring slow iterative analysis during the programming process.
Data Source
AI summary
A method for programming the energy storage device in power-gas coupling system based on reliability constraints is provided. The method includes: obtain the parameters and operation condition of each equipment of the power-gas coupling system in a year; determine the different operating states of the system. A programming model of the energy storage device based on reliability constraints is constructed based on the operating state of the system, and benders decomposition algorithm is adopted to calculate the programming model, so that the programming scheme of the energy storage device is obtained. Considering not only the economy but also the reliability of the system, which is more accurate, comprehensive and effective than the previous programming method; the present invention is of great significance to improve the reliability of the electric power system and ensure the safe and reliable operation of the electric power system.