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1.浙江大学电气工程学院,浙江省杭州市 310027
2.贵州电网有限责任公司电力调度控制中心, 贵州省贵阳市 550002
3.浙江大学NGICS大平台,浙江省杭州市 310027
李知艺(1989—),男,通信作者,博士,研究员,博士生导师,主要研究方向:智能配电网、电力信息安全与隐私防护理论。E-mail:zhiyi@zju.edu.cn
袁涔(1995—),男,硕士,主要研究方向:电力系统优化调度与隐私保护。E-mail:yuancen986@163.com
杨福(1989—),男,硕士,工程师,主要研究方向:电力系统调度运行与控制。E-mail:hustyangfu1314@163.com
收稿:2022-06-14,
修回:2022-09-02,
网络出版:2022-11-08,
纸质出版:2023-04-25
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李知艺,袁涔,杨福等.云计算环境下配电网调度决策模型诱骗式隐私保护方法[J].电力系统自动化,2023,47(8):80-88.
LI Zhiyi,YUAN Cen,YANG Fu,et al.Deception-based Privacy Preservation Method of Dispatch Decision-making Model for Distribution Network in Cloud Computing Environment[J].Automation of Electric Power Systems,2023,47(8):80-88.
李知艺,袁涔,杨福等.云计算环境下配电网调度决策模型诱骗式隐私保护方法[J].电力系统自动化,2023,47(8):80-88. DOI: 10.7500/AEPS20220614007.
LI Zhiyi,YUAN Cen,YANG Fu,et al.Deception-based Privacy Preservation Method of Dispatch Decision-making Model for Distribution Network in Cloud Computing Environment[J].Automation of Electric Power Systems,2023,47(8):80-88. DOI: 10.7500/AEPS20220614007.
随着“新基建”“东数西算”等国家重大工程快速推进,云计算成为新型电力系统调度决策的重要依托手段。针对云计算过程潜藏的信息安全风险,基于主动诱骗理念提出了适配配电网调度决策模型的隐私保护方法。该方法通过构建与真实配电网伴生的随机化虚拟配电网,在防止隐私信息泄露的前提下保持了调度决策模型的稀疏性,进而整体提升云计算效率。首先,结合仿射变换原理,探讨了现有调度决策模型隐私保护方法面临的求解效率低下问题。其次,根据无标度网络模型,设计了伴生虚拟配电网生成方法,并推导了不同配电网结构之间的转换原理,提出了虚拟调度决策模型构建方法。然后,设计了基于双重校验机制的云计算框架,通过不同服务商云计算结果的相互验证,进一步保证结果的正确性和可信度。最后,基于6节点、IEEE 906节点系统进行数值实验,验证了所提方法的有效性和实用性。
With the rapid advancement of new infrastructure and channel computing resources from the east to the west in China
cloud computing becomes an important supporting means for the dispatch decision-making of the new power system. For the potential information security risks during the cloud computing process
based on the concept of proactive deception
a privacy preservation method adapted to the dispatch decision-making model for the distribution network is proposed. By constructing a randomized virtual distribution network associated with the real distribution network
this method maintains the sparsity of the dispatch decision-making model on the premise of preventing privacy disclosure
thereby improving the overall efficiency of the cloud computing. First
combined with the principle of affine transformation
the problem of low solution efficiency faced by the existing privacy preservation method for the dispatch decision-making model is discussed. Secondly
according to the scale-free network model
the generation method of the associated virtual distribution network is designed; the conversion principle between different distribution networks is deduced; and the construction method of the virtual dispatch decision-making model is proposed. Then
a cloud computing framework based on the double-check mechanism is designed to ensure the correctness and credibility of the results through the mutual validation of cloud computing results from different service providers. Finally
numerical experiments are carried out based on 6-bus and IEEE 906-bus system to verify the effectiveness and practicability of the proposed method.
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