This letter presents a dual-band rectenna that can harvest ambient RF power of GSM-1800 and UMTS-2100 bands efficiently. The novel is based on broadband 1 × 4 quasi-Yagi antenna array with bandwidth from 1.8 to 2.2 GHz high gains 10.9 13.3 dBi at 1.85 2.15 GHz, respectively. Also, rectifier sufficiently enhance the RF-to-dc conversion efficiency (PCE) level designed for rectenna. Measurement results show PCE 40% an output dc voltage 224 mV have been achieved over 5-k Ω resistor when...

This letter presents a high-efficiency 2.45-GHz rectenna that can harvest low input RF power effectively. A new antenna with simple structure and high gain of 8.6 dBi is proposed for the rectenna. The designed to directly match rectifying circuit at 2.45 GHz mismatch it second third harmonics so use bandpass filter between be eliminated. shows maximum conversion efficiency 83% load resistance 1400 Ω. Furthermore, overall remain 50% low, -17.2 dBm (corresponding density 0.22 μW/cm <sup...

Wind ramps introduce significant uncertainty into wind power generation. Reliable system operation, however, requires accurate detection and forecast of ramps, especially at high penetration levels. In this paper, to deal with the ramp dynamics, a support vector machine (SVM)-enhanced Markov model is developed for short-term forecast, based on one key observation from measurement data that often occur specific patterns. Specifically, using historical turbine outputs recorded an actual farm,...

In this paper, short-term forecast of wind farm generation is investigated by applying spatio-temporal analysis to extensive measurement data collected from a large where multiple classes turbines are installed. Specifically, using the turbines' power outputs recorded across two consecutive years, graph-learning based carried out characterize statistical distribution and quantify level crossing rate farm's aggregate output. Built on these characterizations, finite-state Markov chains...

In this paper, stochastic optimization of economic dispatch (ED) and interruptible load management is investigated using short-term distributional forecast wind farm generation. Specifically, the statistical information generation extracted from historical data, a Markov chain-based model for developed in rigorous framework, which diurnal nonstationarity seasonality are accounted by constructing multiple finite-state chains each epoch 3 h individual month. Based on model, joint ED cast as...

Microgrids, as individual controllable entities that can operate either islanded from or interconnected to main power grid, have emerged a promising solution improving energy efficiency and resilience disturbance. When linked together in self-organized manner, cluster of microgrids significantly enhance the reliability quality for critical load. With this insight, we study self-organization decentralized management microgrid grid after disruptive event. In stage, depending on available...

The transmission of simultaneous and latency-sensitive data puts forth a significant challenge for the smart grid communications. In this paper, we investigate application device-to-device (D2D) communications energy management in electric distribution network. Specifically, develop D2D-assisted relaying framework to exploit spatial diversity differentiated rate requirements, which improves spectral efficiency, especially scenarios that there are faults We study scheduling problem under...

Large-scale and ubiquitous penetration of wind power generation to systems necessitates more conservative provision system reliability by ensuring adequately committed reserve observance transmission constraints. In addition, curtailment due the technical limitations operations, such as congestion, should be efficiently mitigated. To this aim, paper presents a congestion risk-aware unit commitment formulation in two-settlement market environment. The uncertainty impact multicorrelated...

In recent years, the rapid development of Internet Things (IoT) and big data shows huge demand outsourcing computing in cloud to assist some clients with low ability devices fulfill massive processing. mean time, considering uncertainty devices, we should persist security high-efficiency. Uploaded returned results be protected from attack adversary, which guarantees security, while efficiency requires overhead finish whole calculation procedure. this paper, main focus on public verifiable...

In this paper, we propose a stable electrical grid model, in which home with Photo-Voltaic (PV) system and Vehicle to Grid (V2G) capable Electric (EV) can operate both grid-connected islanded modes. The model is used for studying load transients, power-sharing, fault analysis. implemented control overcomes challenging situations such as changing transient conditions by managing the power of battery PV regulating voltage frequency mode. Maximum Power Point Tracking (MPPT) modified include...

Recent years have witnessed tremendous academic efforts and industry growth in machine learning. The security of learning has become increasingly prominent. Poisoning attack is one the most relevant threats to which focuses on polluting training data that needs during process. Specifically, attacker blends crafted poisoning samples into order make learned model beneficial him. To best our knowledge, existing researches about focused either integrity or availability attack, did not unify...

Hourly wind power ramps in ERCOT are studied by applying extreme value theory. Mean excess plot reveals that the tail behavior of large hourly indeed follows a generalized Pareto distribution. The location, shape, and scale parameters distribution then determined using mean least square technique, from which risk measures including α quantile at conditional calculated.

Multi-quality charging, which provides the electric vehicles (EVs) with multiple levels of charging services, including quality-guaranteed service (QGS) and best effort (BES), can guarantee quality for qualified EVs in vehicle-to-grid (V2G) network. To perform multi-quality evaluation on attributes is necessary to determine level be offered this EV. However, EV owner's privacy such as real identity, lifestyle, location, sensitive information may disclosed during authentication. In paper, we...

Wireless power transfer network (WPTN) is composed of nodes and routes, which can supply for group devices. In the WPTN, it difficult to build a definite route under random node distribution condition. this article, dynamical construction optimization strategy proposed adapt distribution. order establish among grouping nodes, each designed switch its role flexibly through topology switching method. Furthermore, in process route, method shows that transition smooth. Then, an actual WPTN with...

The transportation industry is rapidly transitioning from Internal Combustion Engine (ICE) based vehicles to Electric Vehicles (EVs) promote clean energy. However, large-scale adoption of EVs can compromise the reliability power grids by introducing large uncertainty in demand. Demand response with a controlled charge scheduling strategy for mitigate such issues. In this paper, deep reinforcement learning- developed individual considering user&amp;rsquo;s dynamic driving behavior and...

Short-term wind farm power forecasting is studied by exploiting the spatio-temporal correlation between individual turbine's output. A multivariate time series model for generation developed using vector autoregression (VAR). In order to avoid possible over-fitting issues caused a large number of autoregressive coefficients and impact on performance VAR models, sparsified coefficient matrix constructed utilizing information direction, speed farm's layout. Then, parameters are obtained...

Power system flexibility is becoming increasingly critical in modern power systems due to the quick switch from fossil fuel-based generation renewables, old-fashioned infrastructures, and a sharp rise demand. If complies with financial restrictions responds quickly unforeseen shifts supply demand, it can be considered flexible. It ramp up production during periods of high demand or increase unanticipated scheduled events. The broad use renewable energy grid provide environmental economic...

In this paper, the development of a Parallel Kalman Filter for bilinear model in presence correlation between process and measurement noise is discussed. The developed theory implemented estimation both states parameters power system networks using measurements from synchronized Phasor Measurement Units (PMUs). Dynamics comprise dynamics representation, coming PMUs are represented as observation model. Correlation voltage phasor well noises parameter considered. method to estimate phasors...

The recent spike in microgeneration of renewable energy is demanding a smart, reliable, secured and efficient technology to enable Peer (P2P) trading. Due the inherent characteristics, blockchain has been preferred for realizing P2P However, implementations trading so far are suffering from critical challenges such as security, privacy scalability. In this paper, we introduce platform that leverages popular addresses these concerns. particular, multilayered semi-permissioned based along with...

In this paper, a novel scheme for subsynchronous oscillation detection and modal parameter estimation is proposed, by leveraging the rich information contained in high-rate phasor measurements as well effectiveness of synchrosqueezing transform multimodal signal analysis. Specifically, an instantaneous time-frequency representation voltage/current first obtained applying to real-time data collected measurement unit. The non-zero coefficients quantify undamped frequency components original at...

We study stochastic optimization of economic dispatch (ED) and interruptible load management using short-term distributional forecast wind farm generation. Specifically, we develop a Markov-chain-based model for generation based on spatial temporal characteristics the turbine power output in farm. Built model, joint ED is cast as problem. The proposed problem compared with deterministic persistence also scenario-based formulation which uses all possible states. Numerical studies, modified...

Real-time actuation of scheduled reserve capacity in power system operations with high penetration wind is prone to failure on account unexpected shortcomings network transfer capability. In this paper, a graph partitioning-based zoning method incorporated into the security-constrained unit commitment improve deliverability operating reserves zone and mitigate possible congestions caused by uncertain power. A representation proposed which edge weights are quantified likelihood secure...