现代微电网的重要特征是其核心的分布式能源和控制系统普遍依赖网络通信和软件系统。信息与物理系统的集成使得微电网获得了极佳的分布可控性、可扩展性和可观性；然而，恶意网络攻击者由此亦可以利用微电网信息物理系统中各种潜在的漏洞对微电网实施破坏。本文提出一种可编程自适应安全扫描（PASS）技术，用以保护电力电子化微电网系统免受各类电力机器人（power bot）的攻击。这一新技术尤其可以有效抵御三种危害性较大的攻击，即控制器操纵攻击、重放攻击和注入攻击。可编程自适应扫描融合软件定义网络与新的协同检测方法；这一新的安全措施可以使得微电网的互联具有超高的弹性和安全性、低成本与高度自动化等优点。协同检测结合了主动同步扫描和混沌检测两类新技术，可以有效识别电力机器人攻击的类型并对各类攻击快速定位，且不会中断或影响互联微电网的正常运行。可编程自适应安全扫描技术的有效性和实用性在大量实验中得到了确证。

Communication-dependent and software-based distributed energy resources (DERs) are extensively integrated into modern microgrids, providing extensive benefits such as increased distributed controllability, scalability, and observability. However, malicious cyber-attackers can exploit various potential vulnerabilities. In this study, a programmable adaptive security scanning (PASS) approach is presented to protect DER inverters against various power-bot attacks. Specifically, three different types of attacks, namely controller manipulation, replay, and injection attacks, are considered. This approach employs both software-defined networking technique and a novel coordinated detection method capable of enabling programmable and scalable networked microgrids (NMs) in an ultra-resilient, time-saving, and autonomous manner. The coordinated detection method efficiently identifies the location and type of power-bot attacks without disrupting normal NM operations. Extensive simulation results validate the efficacy and practicality of the PASS for securing NMs.