中国电机工程学报2025，Vol.45Issue(8)：2936-2945,中插7,11.DOI:10.13334/j.0258-8013.pcsee.232192
基于光量子计算机的虚拟电厂分布式资源解聚合优化方法
Disaggregation Optimization of Distributed Resources in Virtual Power Plants Based on Optical Quantum Computer
摘要
Abstract
Quantum computers serve as platforms for high-performance quantum computing and its practical applications.With unique operational characteristics,they require scientifically feasible application methods tailored to specific scenarios and problems to leverage quantum advantages.This paper presents a quadratic unconstrained binary optimization(QUBO)model construction method for distributed resource disaggregation optimization in virtual power plants,based on optical quantum computing.It provides conversion methods for penalty terms in QUBO models corresponding to optimization objectives,equality constraints,and inequality constraints,establishing a practical quantum computing paradigm for power system optimization.Furthermore,a redundant constraint identification method and qubit sharing mechanism are developed,specifically considering virtual power plant operations to minimize required qubits.Utilizing the team's self-developed optical quantum computer,application tests demonstrate the feasibility and effectiveness of solving virtual power plant disaggregation problems.This breakthrough in solving power system optimization problems with optical quantum computers paves the way for addressing large-scale power system optimization challenges in the future.关键词
量子计算/光量子计算机/虚拟电厂/分布式资源/二次无约束二值优化Key words
quantum computing/optical quantum computer/virtual power plants/distributed resources/quadratic unconstrained binary optimization(QUBO)分类
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郭梦婕,王晗,严正,张文博,陶玮,周新生,文凯,马寅,魏海..基于光量子计算机的虚拟电厂分布式资源解聚合优化方法[J].中国电机工程学报,2025,45(8):2936-2945,中插7,11.基金项目
国家自然科学基金项目(52107116,U2166201).Project Supported by National Natural Science Foundation of China(52107116,U2166201). （52107116,U2166201）
