Integrated Quantum Power Flow Computing for Multi-Equation Parallel Solving
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Solution Overview
Problem
The existing quantum power flow algorithm is inefficient when solving multiple power flow equations due to the waste of quantum hardware resources and low computational efficiency, failing to meet the real-time power flow calculation requirements of large-scale power systems.
Innovation Solution
A multi-power flow integrated parallel quantum computing method that integrates multiple power flow equations for computing, utilizing quantum hardware efficiently by constructing a Hermitian matrix and dividing equations into sets based on eigenvalue ranges, and solving them in parallel using quantum algorithms like the HHL algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the current quantum power flow algorithm is used to solve multiple power flow equations, then each equation requires separate quantum circuit setup, but this leads to large total quantum hardware requirements and reduced computational efficiency
Solution Approach 1:
The patent combines multiple power flow equations into a single integrated quantum circuit by merging their respective Hermitian matrices and unknown vectors. Instead of solving each equation separately with individual quantum circuits, the invention creates one unified quantum circuit that processes all equations simultaneously, thereby reducing quantum hardware requirements while maintaining computational efficiency.
Solution Approach 2:
The patent designs a universal quantum circuit structure that can handle multiple different power flow equations through a single integrated framework. The unified circuit uses a common Hermitian matrix construction method and unknown vector organization that accommodates various equation types, making the quantum hardware multi-functional and adaptable to different calculation scenarios without requiring separate dedicated circuits for each equation.
2Reliability
If multiple quantum circuits are set up to solve multiple power flow equations, then each equation can be solved independently, but the total number of quantum hardware required increases significantly
Solution Approach 1:
The patent merges multiple independent quantum circuits into one unified circuit by combining the Hermitian matrices and unknown vectors of multiple equations. This integration maintains the mathematical integrity and solution accuracy of each original equation while eliminating the need for separate quantum hardware instances, thus preserving calculation accuracy with reduced hardware quantity.
3Ease of operation
If separate quantum circuits are used for each power flow equation, then the solution process is straightforward, but the computational efficiency decreases when the number of equations increases
Solution Approach 1:
The patent segments the solution process into distinct phases: first transforming multiple power flow equations into Hermitian matrix form with organized unknown vectors, then solving all segmented equations simultaneously through a unified quantum circuit. This segmentation approach maintains operational clarity and simplicity while achieving high computational efficiency through parallel processing of all equations in one integrated circuit execution.
Data Source
AI summary
A multi-power flow integrated parallel quantum computing method, a system, and a storage medium of a power system relate to the field of power flow calculation and quantum computing technology of power systems. In the multi-power flow integrated parallel quantum computing method, the quantum power flow equations to be solved are classified and integrated, and the quantum calculation of multiple quantum power flow equations to be solved is converted into the quantum calculation of a quantum integrated power flow equation to be solved, which makes full use of the superposition characteristics of quantum calculation. It can significantly reduce the number of quantum hardware used in quantum power flow calculation, and is consistent with the existing quantum power flow algorithm in terms of calculation results and iteration times.