考虑隐私保护的虚拟电厂经济调度策略

doi:10.3969/j.issn.2097-0706.2025.01.010

摘要/Abstract

摘要：

针对现有虚拟电厂分布式经济调度算法只关注收敛性和最优性而忽视隐私保护功能的问题，提出了一种离散系统边加零和噪声的隐私保护策略，通过在通信信道中注入一组零和扰动信号来掩盖原始传输信号。第1次迭代时，该算法要求每个智能体生成一些预先设计好的扰动信号并将其添加到网络的通信链路上。从第2次迭代开始，所有代理都简单地采用传统经济调度算法。该策略与已有经济调度算法相比，可以在不泄露原始传输信息真实值的情况下实现精确的共识收敛，且不需要额外的通信带宽。从隐私保护功能角度分析，该算法可以防止内部诚实但好奇的节点以及外部窃听者窃取隐私；同时，与已有研究相比，放宽了针对内部诚实好奇节点隐私保护的拓扑约束条件。最后通过仿真验证了所提隐私保护机制的有效性。

关键词: 虚拟电厂, 零和扰动, 多智能体系统, 分布式经济调度, 隐私保护

Abstract:

To address the issue that existing distributed economic dispatch algorithms for virtual power plants focus solely on convergence and optimality while neglecting privacy protection，a privacy-protecting strategy that adds zero-sum noise to the edges of discrete systems was proposed. This strategy concealed the original transmitted signal by injecting a set of zero-sum disturbance signals into the communication channel. In the first iteration，each agent generated a pre-designed set of disturbance signals and added them to the network's communication links. Starting from the second iteration，all agents simply followed the traditional economic dispatch algorithm. Compared to existing economic dispatch algorithms，this strategy achieved precise consensus convergence without revealing the true values of the original transmitted information and did not require additional communication bandwidth. From the perspective of privacy protection，the algorithm prevented internal honest-but-curious nodes and external eavesdroppers from stealing private information. Furthermore，compared to existing research，it relaxed the topological constraints for privacy protection against internal honest-but-curious nodes. Finally，the effectiveness of the proposed privacy-preserving mechanism was validated through simulations.

Key words: virtual power plant, zero-sum disturbance, multi-agent systems, distributed economic dispatch, privacy protection

中图分类号:

TK31：TM73

胡杰, 战巧蓉, 田德硕, 李文伟. 考虑隐私保护的虚拟电厂经济调度策略[J]. 综合智慧能源, 2025, 47(1): 79-87.

HU Jie, ZHAN Qiaorong, TIAN Deshuo, LI Wenwei. Economic dispatch strategy for virtual power plants considering privacy protection[J]. Integrated Intelligent Energy, 2025, 47(1): 79-87.

图/表 7

图1

图2

图3

表1

节点相关参数

节点	DG1	DG2	DG3	DG4	DG5	DG6
a_i	0.001 42	0.001 94	0.004 82	0.001 58	0.001 63	0.003 75
b_i	7.20	7.85	7.97	7.35	7.77	7.58
c_i	510	310	310	450	375	165
$P i m i n$ /kW	40	40	50	50	45	45
$P i m a x$ /kW	200	180	150	250	300	200

表1

图4

图5

图6

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