论文标题
电力网络中分布式最优计划的隐私
Privacy of distributed optimality schemes in power networks
论文作者
论文摘要
电力网络中本地发电和可控需求单位的参与不断增加，激发了分布式方案的控制。同时，它提出了两个问题。在这些单元之间实现最佳功率分配，并确保发电/需求概况的隐私。这项研究考虑了设计分布式最佳方案的问题，该方案保留了次要频率控制时间内的发电和可控需求单位的隐私。我们提出了一个共识方案，其中包括其动态中的发电/需求概要文件，在知识内部动态的知识时，将此信息保持私密。但是，可以使用其内部模型的知识来推断释放曲线。我们通过提出一个隐私保护计划来解决此问题，该计划可确保无法从通信的信号中推断出生成/需求。对于两种提出的方案，我们都提供分析稳定性，最佳性和隐私性保证，并表明满足了二级频率控制目标。提出的方案是分发的，可以在本地进行验证，并且适用于任意网络拓扑。我们的分析结果通过140个总线系统上的模拟进行了验证，我们证明所提出的计划提供了增强的隐私属性，实现了最佳功率分配并保留电力网络的稳定性。
The increasing participation of local generation and controllable demand units within the power network motivates the use of distributed schemes for their control. Simultaneously, it raises two issues; achieving an optimal power allocation among these units, and securing the privacy of the generation/demand profiles. This study considers the problem of designing distributed optimality schemes that preserve the privacy of the generation and controllable demand units within the secondary frequency control timeframe. We propose a consensus scheme that includes the generation/demand profiles within its dynamics, keeping this information private when knowledge of its internal dynamics is not available. However, the prosumption profiles may be inferred using knowledge of its internal model. We resolve this by proposing a privacy-preserving scheme which ensures that the generation/demand cannot be inferred from the communicated signals. For both proposed schemes, we provide analytic stability, optimality and privacy guarantees and show that the secondary frequency control objectives are satisfied. The presented schemes are distributed, locally verifiable and applicable to arbitrary network topologies. Our analytic results are verified with simulations on a 140-bus system, where we demonstrate that the proposed schemes offer enhanced privacy properties, enable an optimal power allocation and preserve the stability of the power network.
