Voltage Regulation Service Pricing in Cyber-Physical Distribution Networks With Multi-Dimensional Meteorological Uncertainties

IF 7.9 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY IEEE Transactions on Network Science and Engineering Pub Date : 2024-12-09 DOI:10.1109/TNSE.2024.3512580

Zhaobin Wei;Zhenyu Huang;Zhiyuan Tang;Huiming Chen;Xianwang Zuo;Haotang Li;Haoqiang Liu;Jichun Liu;Alberto Borghetti

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Abstract

Uncertainties of distributed renewable energy and load demand induced by meteorological factors pose a significant challenge to the voltage quality of the distribution network. This paper addresses this issue from a cyber-physical perspective, by proposing a novel voltage regulation (VR) service pricing for the distribution network. Specifically, an improved nonparametric kernel density estimation method characterized by adaptive variable bandwidth is proposed to measure the coupling among different meteorological factors. The intervals of photovoltaic power and air-conditioning load are defined by a novel affine algorithm with high performance, integrated with mandatory boundary and space approximation techniques. The distribution-level VR market is based on an affiliated layered communication architecture characterized by cloud-edge-terminal collaboration and message queue telemetry transport protocol. A grid-aware voltage regulation interval optimization model is proposed to determine the voltage regulation service price through an electrical distance-based rule. Case studies show that the proposed price can significantly facilitate robust VR decisions, promote the voltage-friendly behavior of VR service providers, and reduce the VR cost by about 20.96% compared to the currently adopted pricing mechanisms.

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具有多维气象不确定性的信息-物理配电网电压调节服务定价

分布式可再生能源和由气象因素引起的负荷需求的不确定性对配电网的电压质量提出了重大挑战。本文从网络物理的角度解决了这一问题，提出了一种新的配电网电压调节（VR）服务定价。具体而言，提出了一种改进的自适应变带宽非参数核密度估计方法，用于测量不同气象因子之间的耦合。结合强制边界和空间逼近技术，采用一种高性能的仿射算法定义光伏发电和空调负荷的区间。分布级VR市场基于以云边缘终端协作和消息队列遥测传输协议为特征的附属分层通信架构。提出了一种电网感知的调压区间优化模型，通过基于电距离的规则确定调压服务价格。案例研究表明，与目前采用的定价机制相比，拟议的价格可以显著促进稳健的VR决策，促进VR服务提供商的电压友好行为，并将VR成本降低约20.96%。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.