Cyber-physical attacks are the main substantial threats facing utilization and development of various smart grid technologies. Among these attacks, false data injection attack represents a category with its widely varied types impacts that have been extensively reported recently. In addressing this threat, several detection algorithms developed in last few years. These were either model-based or data-driven algorithms. This paper provides an intensive summary by categorizing them elaborating...

With the increase of vehicle travelling range and decrease expense, Electric Vehicles (EVs) are gaining popularity as a new transport option which offers great opportunity for creating smart city in terms transportation electrification. However, existing research EV charger planning primarily concentrates on optimal location seeking from perspective global optimization. To achieve competitive strategy future, market-based mechanism is proposed problem with case study Sydney where...

The increased complexity of modern energy network raises the necessity flexible and reliable methods for smart grid operation. To this end, article is centered on economic dispatch problem (EDP) in grids, which aims at scheduling generators to meet total demand minimized cost. This proposes a fully distributed algorithm address EDP over directed networks takes into account communication delays noisy gradient observations. In particular, rescaling technique introduced design implementation...

Memristive LSTM networks have been proven as a powerful Neuromorphic Computing Architecture (NCA) for various time series forecasting tasks and are recognized the next generation of AI. However, lack model explainability makes it hard to properly interpret results existing memristive networks, which this NCA unreliable, unaccountable untrustworthy. In paper, an interpretable (IM) network design is proposed forecasting, where mixture attention technique embedded into IM-LSTM cells...

Automatic generation control (AGC) is paramount in maintaining the stability and operation of power grids. Its dependence on communication systems makes it vulnerable to various cyberphysical attacks. False data injection attacks (FDIA) are particularly difficult detect represent a major threat AGC systems. This article proposes novel spatio-temporal learning algorithm that can learn normal dynamics grid with system deal this problem. The first uses long short-term memory autoencoder...

The shared community energy storage system (CESS) can reduce costs by exploiting the complementarity of end-users and economies scale. To further improve economic feasibility CESS, we propose a novel business model pricing method for virtual rental service (VSRS). In this model, users aim to minimize electricity bill renting capacity optimizing its operation, while CESS operator seeks maximize revenue from combination arbitrage VSRS. problem optimal operation problems users' batteries are...

In order to simplify the attitude control for inclined geosynchronous orbit (IGSO) and medium earth (MEO) satellites of BeiDou Navigation Satellite System (BDS) in eclipse seasons, two modes, namely yaw-steering (YS) orbit-normal (ON) mode are used. Significant accuracy degradation is observed orbits determined with purely empirical CODE solar radiation pressure (SRP) model when these switch ON mode. addition, even though BDS IGSO YS mode, SRP show undesirable systematic errors that depend...

This paper proposed a dual-mode distributed economic model predictive control (EMPC) for nonlinear wind- photovoltaic-battery microgrid power system (WPB-MPS). The communications between each subsystem are taken into consideration and the objectives that established based on aspects that: satisfy total demand; make full use of generated by WPB-MPS; optimize battery's state charge; reduce fluctuation exchange with grid. subsystem-based EMPCs work iteratively cooperatively to solve objective...

In the presence of several critical issues during data acquisition in industrial-informatics-based applications, like Internet Things (IoT) and smart grid, this article proposes a novel framework based on compressive sensing (CS) cascade chaotic system (CCS). This can ensure low overhead, confidentiality, authentication. Based CS CCS, three technologies, including CCS-driven CS, local perturbation, authentication mechanism, are introduced proposed article. generates measurement matrix with...

This article focuses on distributed convex optimization problems over an unbalanced directed multiagent (no central coordinator) network with inequality constraints. The goal is to cooperatively minimize the sum of all locally known cost functions. Every single agent in only knows its local objective function and constraint, constrained a privately set. Furthermore, we particularly discuss scenario which interactions among agents whole are subjected possible link failures. To collaboratively...

Plug-in electric vehicles are widely acknowledged as an effective tool for numerous environmental and economic concerns. In this article, a novel model the planning of fast-charging stations is established based on data-driven distributionally robust optimization approach, which aims to minimize expected cost both transportation network distribution network. φ-divergence, statistical measure, utilized establish serviceability constraints. On other hand, modified capacitated flow refueling...

We present EMDB, the Electromagnetic Database of Global 3D Human Pose and Shape in Wild. EMDB is a novel dataset that contains high-quality SMPL pose shape parameters with global body camera trajectories for in-the-wild videos. use body-worn, wireless electromagnetic (EM) sensors hand-held iPhone to record total 58 minutes motion data, distributed over 81 indoor outdoor sequences 10 participants. Together accurate poses shapes, we also provide root trajectories. To construct propose...

Energy sharing has the potential to decrease operation costs by exploiting complementarity of different entities. The further increase microgrids' generation capacity in distribution network could trigger emergence MW-level microgrids aggregator (MGA) participate regional energy market (ESM) and sell excess energy. However, uncertainty renewable will cause failure an economic loss for market. Therefore, a novel two-sided with clearing price risk management is proposed this paper. In order...

The end-edge-cloud orchestration of the virtual power plant (VPP) enables edge server to timely serve community users. By deploying energy storage system (CESS) and peer-to-peer (P2P) market, prosumers can form communities achieve self-sufficiency independence from fuel-based generators. This article proposed a two-stage trading model under orchestration. P2P is first stage where execute automatic bidding process for multiple buyers sellers based on real-time users' profiles...

The pore structure and its complexity heterogeneity control the occurrence states fluidity of shale oil. multifractal theory effectively characterizes structure. In this study, serial technologies were applied to detect systems obtained from Dongying Sag, Bohai Bay Basin in China. characteristics analyzed based on nuclear magnetic resonance (NMR) T2 spectrum. analysis results show that oil reservoirs can be classified into four types their spectra. Type I shales spectra large p2 (1–20 ms),...

The increasing adoption of solar power globally presents an environmentally sustainable alternative to traditional energy sources. However, integrating distributed generation (DG) systems into the grid introduces complexities that can impact grid's reliability and security. While information communication technologies have significantly improved management control DG systems, they concurrently introduce new cybersecurity vulnerabilities. This study explores security stability challenges...