基于量化隐私保护一致性的热电联产系统分布式协同调度  

Distributed collaborative scheduling of combined heat and power systems based on quantized privacy preserving consensus

作　　者：孔敏雪 彭鑫[1,2] 沈菲菲 伍小龙 江超 钟伟民[1,2] KONG MinXue;PENG Xin;SHEN FeiFei;WU XiaoLong;JIANG Chao;ZHONG WeiMin(Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;Engineering Research Center of Process Systems Engineering,Ministry of Education,East China University of Science and Technology,Shanghai 200237,China;Laboratory of Computational Intelligence and Intelligent System,Beijing University of Technology,Beijing 100124,China)

机构地区：[1]华东理工大学能源化工过程智能制造教育部重点实验室,上海200237 [2]华东理工大学过程系统工程教育部工程研究中心,上海200237 [3]北京工业大学信息学部计算智能与智能系统北京市重点实验室,北京100124

出　　处：《中国科学：技术科学》2024年第9期1736-1746,共11页Scientia Sinica(Technologica)

基　　金：国家杰出青年科学基金(编号:61925305);国家自然科学基金(编号:62173145,62303186);中央高校基本科研业务费专项资金(编号:222202417006);上海人工智能实验室资助。

摘　　要：传统集中式调度无法有效解决大规模能源设备接入导致的实时性欠佳问题.本文通过引入一致性算法,提出复杂通信环境下的热电联产系统分布式优化调度方案.针对决策信息交换过程中存在的隐私性,引入有效的掩码函数,防止各类能源设备在协同调度过程中造成系统敏感信息泄露.在此隐私保护方案的基础上,考虑到通信环境中通信资源有限和分布式通信滞后,提出了一种基于量化隐私一致性算法的分布式优化调度方案,并快速获取能源设备协同调度的最优解.此外,对所设计算法的收敛性进行了严格的理论分析,确保其具有可行性.值得指出的是,本文设计的隐私量化方案也适用于基于加权平均一致算法的协同优化调度.最后,通过对热电联产系统模型进行实验,验证了所提出的算法能够实现供需平衡下的运行成本最小化,并具有良好的收敛性能.The conventional centralized scheduling proves ineffective in addressing the suboptimal real-time performance caused by the largescale integration of energy devices.This paper introduces a distributed optimization scheduling scheme for complex communication environments within a combined heat and power(CHP)system,incorporating consensus algorithm.Regarding the privacy that exists in the decision-making information exchange process,an effective mask function is introduced to prevent the sensitive information of the system from being leaked during the cooperative scheduling process of various types of equipment.Based on this privacy scheme,taking into account the limited communication resources and distributed communication lag in the communication environment,a distributed optimization scheduling scheme based on a quantified privacy consistency algorithm is proposed.This scheme enables the rapid attainment of optimal solutions for the collaborative scheduling of energy devices.Additionally,we conducted a rigorous theoretical analysis on the convergence of the designed algorithm to ensure its feasibility.It is worth pointing out that the privacy quantification scheme designed in this paper is also suitable for distributed optimization scheduling based on the weighted average consensus algorithm.Finally,by experimenting with the CHP system model,we have verified that the proposed algorithm can minimize operating costs while maintaining a balance of supply and demand,and it demonstrates good convergence performance.

关 键 词：热电联产 能源系统 量化一致性 分布式调度 隐私保护 

分 类 号：TM73[电气工程—电力系统及自动化]