The resilience and reliability of modern power systems are threatened by increasingly severe weather events cyber-physical security events. An effective restoration methodology is desired to optimally integrate emerging smart grid technologies pave the way for developing self-healing grids. In this paper, a sequential service (SSR) framework proposed generate solutions distribution microgrids in event large-scale outages. solution contains sequence control actions that properly coordinate...

Modern power systems are facing increased risk of disasters that can cause extended outages. The presence remote control switches, distributed generators (DGs), and energy storage (ESS) provides both challenges opportunities for developing post-fault service restoration methodologies. Inter-temporal constraints DGs, ESS, loads under cold load pickup conditions impose extra complexity on problem formulation solution. In this paper, a multi-time step methodology is proposed to optimally...

This paper proposes a distribution system restoration model which is in response to multiple outages caused by natural disasters. The proposed includes the coordination of routing repair crews (RRCs), mobile battery-carried vehicles (MBCVs), and networked microgrids (NMGs) formed soft open points (SOPs). travel time constraints are modeled for each RRC; path charging strategy MBCV; network reconfiguration developed considering optimal operation SOP-based NMGs. presented as mixed-integer...

The dependence on advanced information and communication technology increases the vulnerability in smart grids under cyber-attacks. Recent research unobservable false data injection attacks (FDIAs) reveals high risk of secure system operation, since these can bypass current bad detection mechanisms. To mitigate this risk, paper proposes a data-driven learning-based algorithm for detecting FDIAs distribution systems. We use autoencoders efficient dimension reduction feature extraction...

Resilience is an overarching concept that requires combined efforts from interdependent critical infrastructures to achieve. As the interdependence between power system and natural gas grows, roles of coordination in post-disaster repair will be unneglectable improve resilience two systems. In this paper, a crew dispatch problem for systems proposed. The schedule coordinated co-optimized. Both topology reconfiguration intentional DG islanding are modeled as operational measures further Case...

This paper explores distributed smart grid attack strategies to destabilize power system components using variable structure theory. Here, an opponent is able remotely control multiple circuit breakers within a system, say through data corruption or communication network attack, target synchronous generators application of state-dependent breaker switching. In contrast via single breaker, the multi-switch case provides additional degrees freedom that can lead stealthier and wide-scale...

Large-scale blackouts and extreme weather events in recent decades raise the concern for improving resilience of electric power infrastructures. Distribution service restoration (DSR), a fundamental application outage management systems, provides solutions system operators when outages happen. As distribution generators (DGs) remotely controllable devices are increasingly installed an advanced DSR framework is needed to perform optimally coordinated that can achieve maximal performance. This...

This article proposes an integrated optimization model for unbalanced distribution system restoration after large-scale power outages caused by extreme events. The can coordinate the control actions of multiple types distributed energy resources (DERs), including dispatchable generators (DGs), renewable DGs (mainly wind and solar), storage systems (ESSs). also considers topology flexibility forming dynamic islands through reconfiguration. Besides, optimal dispatch repair crews mobile...

Distribution service restoration (DSR) is critical for improving the resilience and reliability of modern distribution systems by strategically sequentially energizing system components customer loads. Restoring electricity to affected customers also requires multiple crews with different skill sets perform tasks that are procedurally interdependent safety guaranteed. However, in existing DSR practices, switch operations crew dispatch scheduled separately, their interdependence not fully...

To understand security vulnerabilities of communication protocols used in power systems, a real-time framework can be developed to conduct vulnerability studies. The should implement protection mechanisms against and study their effectiveness. In this paper, realtime cyber-physical or test bed is presented. It integrates system simulator the cyber physical smart grids. simulation implemented using Real-Time Digital Simulator (RTDS®) grid simulator, with LabVIEW PXI modules that simulate...

We propose a three-stage resilient unit commitment model which considers uncertain typhoon paths and line outages to improve the power system resilience against events. The proposed solution coordinates resources in response worst-case scenario for each possible path. optimal decision is based on characterization of schedule into three stages preventive control, emergency restoration. Preventive control performed before occurs by quickly adjusting schedule; conducted during shedding local...

A new type of hollow nanostructure featured double metal-organic frameworks shells with metal nanoparticles (MNPs) is designed and fabricated by the methods ship in a bottle around ship. The material, hereinafter denoted as Void@HKUST-1/Pd@ZIF-8, confirmed analyses photograph, transmission electron microscopy, scanning powder X-ray diffraction, inductively coupled plasma, N2 sorption. It possesses various multifunctionally structural characteristics such cavity which can improve mass...

Numerous innovative smart grid technologies are deployed in modern power systems, making a system typical cyber-physical (CPS). The increasing coupling between physical and its communication network requires simulator to run environment for cyber security research. In addition, introduce numerous access points the network, big concern planning operation. this paper, simple real time CPS test bed, implemented RTDS OPNET, is discussed. setup of bed introduced. Results case study simulated...

Cyber security is becoming a major concern of smart grids, as the functionality grid highly dependent on cyber communication. Therefore, it important to study impact attacks grids. This paper discusses several types attacks. Then, presents results studies impacts transient angle and voltage stability due two support devices, SVC STATCOM, in an 8-bus test system. The 8 bus system devices are simulated analysis performed with DSATools™. showed that some modification can make or unstable,...

Privacy leakage is an important issue for social recommendation. Existing privacy preserving recommendation approaches usually allow the recommender to fully control users' information. This may be problematic since itself untrusted, leading serious leakage. Besides, building relationships requires sharing interests as well other private information, which lead more Although sometimes users are allowed hide their sensitive data using settings, being shared can still abused by adversaries...

This letter develops a flexible machine learning detection method for cyberattacks in distribution systems considering spatiotemporal patterns. Spatiotemporal patterns are recognized by the graph Laplacian based on system-wide measurements. A Bayes classifier (BC) is used to train which could be violated when occur. Cyberattacks detected using BCs online. The effectiveness of developed demonstrated through standard IEEE 13and 123-node test feeders.

This paper proposes a stochastic optimization approach for disaster preparation in distribution systems. For an upcoming storm, utilities should have plan that includes warehousing restoration supplies, securing staging sites (depots), and prepositioning crews equipment. Pre-storm planning enables faster more efficient post-disaster deployment of equipment resources to damage locations. To assist making this important preparation, develops two-stage mixed integer linear program. The first...

This paper presents a two-level transactive energy market framework, that enables trading among electric vehicle charging stations (EVCSs). At the lower level, discharging capability of EVs and on-site PV generation are leveraged by individual EVCS for participating in with their peers. Once lower-level is completed, EVCSs trade at upper level through power grid network managed distribution system operator (DSO). The upper-level cleared while satisfying constraints. A cooperative game-based...