Cooperative Grid Dispatching for Hydro-Thermal Renewable Integration
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Solution Overview
Problem
Existing power grid transmission and distribution dispatching methods face challenges of low efficiency, low flexibility, and high complexity, making it difficult to ensure safe and efficient operation of power transmission systems.
Innovation Solution
A power grid transmission and distribution cooperative dispatching method is introduced, which involves collecting data, performing economic dispatching modeling on a hybrid hydro-thermal power system, linearizing nonlinear terms, and using Benders decomposition for accelerated solving to optimize dispatching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If traditional thermal power generating units are used to maintain system stability, then power balance self-adjustment capacity is improved, but renewable energy integration capability deteriorates
Solution Approach 1:
The patent segments the power system into transmission network and distribution network parts, with the transmission system providing stable backbone support and the distribution system integrating renewable energy through microgrids and distributed resources. This segmentation allows each part to fulfill its specialized function while maintaining overall system stability and renewable energy integration capability.
Solution Approach 2:
The patent changes the operational parameters of thermal power units by implementing flexible operation modes that allow them to adjust output rapidly in response to renewable energy fluctuations. This enables thermal units to maintain system stability while accommodating variable renewable energy input through dynamic parameter adjustment rather than fixed operation modes.
2Productivity
If Benders decomposition is used to solve the economic dispatching model, then computational efficiency is improved, but model accuracy deteriorates
Solution Approach 1:
The patent applies Benders decomposition to segment the complex economic dispatching model into master problem and subproblems that can be solved iteratively. This segmentation transforms an intractable large-scale optimization problem into manageable components, achieving computational efficiency while maintaining model accuracy through coordinated solution of decomposed parts.
Solution Approach 2:
The patent introduces Benders cuts as intermediary elements that transfer information between the master problem and subproblems. These cuts act as mediators that progressively refine the solution by eliminating infeasible regions, ensuring that the decomposed solution converges to the optimal solution of the original undecomposed model.
3Device complexity
If nonlinear terms are linearized in the economic dispatching model, then computational complexity is reduced, but solution accuracy deteriorates
Solution Approach 1:
The patent transforms nonlinear parameters and variables in the economic dispatching model into linear forms through mathematical transformations and approximations. This parameter change strategy converts nonlinear constraints and objective functions into linear equivalents that can be efficiently solved by linear programming algorithms while preserving the essential characteristics of the original nonlinear model.
Solution Approach 2:
The patent employs linearization as a computationally inexpensive approximation method that sacrifices some precision for significant gains in computational efficiency. The linearized model serves as a practical substitute for the complex nonlinear model, providing sufficiently accurate solutions for real-time power system operation where computational speed is critical.
4Device complexity
If transmission and distribution networks operate independently, then organizational simplicity is improved, but resource allocation efficiency deteriorates
Solution Approach 1:
The patent segments the power system into transmission and distribution networks with clearly defined functional boundaries and responsibilities. The transmission system handles bulk power transmission and macro-level dispatching, while the distribution system manages local power allocation and micro-level control. This segmentation maintains organizational simplicity through clear division of labor while enabling efficient resource allocation through coordinated operation at each level.
Solution Approach 2:
The patent merges the transmission and distribution networks into a coordinated cooperative dispatching system where both levels work together through standardized interfaces and communication protocols. This merging enables optimal resource allocation by allowing the transmission system to consider distribution-level constraints and the distribution system to utilize transmission-level resources, achieving overall system efficiency while maintaining operational simplicity through modular architecture.
Data Source
AI summary
Disclosed is a power grid transmission and distribution cooperative dispatching method and system in a power market environment, relating to the technical filed of power market. The method includes: power grid transmission and distribution data are collected, and economic dispatching modeling is carried out on a hybrid system containing hydro-thermal power; linearization processing is carried out on nonlinear terms in the model; and accelerated solving is carried out on the model by adopting Benders decomposition, so that power gird transmission and distribution cooperative dispatching is optimized. The integration capacity of the power system containing hydro-thermal power to the renewable energy is enhanced, and the utilization efficiency of resources is improved, and the solving process is simplified in the present invention.