Thermostatically controlled loads (TCLs) are good candidates for direct load control (DLC). They can be aggregated to join the electricity market through a centralized management performed by virtual power plant (VPP). However, there two main concerns that arise when TCLs participate in DLC. The first is related dispatchability of VPP against normal energy demand individual uncertain time-variant environments. second refers tremendous increase communication and computational requirements...

As the problem of three-phase unbalance in a distribution network with distributed generations (DGs) is prominent, multiobjective dynamic reconfiguration method for balance proposed to make more reasonable and effective. Based on power flow calculation process analysis networks DGs, new model comprehensive optimization objectives minimizing factor number switching times are established. A connectivity discrimination based algebraic graph theory adopted quickly remove infeasible solutions,...

Domestic electric water heaters (DEWHs) can provide operational flexibility for load control due to their energy storage capacity. Load forecasting aggregated DEWHs is important providing information of baseline and controlling electricity demand profile without negative impact the normal end use. Advanced metering infrastructures nowadays more possibilities further enhance with bottom-up method. This article proposes a Markov-based error reduction method predict power consumption multiple...

Low inertia, nonlinearity and a high level of uncertainty (varying topologies operating conditions) pose challenges to microgrid (MG) systemwide operation. This paper proposes an online adaptive Koopman operator optimal control (AKOOC) method for MG secondary voltage frequency control. Unlike typical data-driven methods that are data-hungry lack guaranteed stability, the proposed AKOOC requires no warm-up training yet with bounded-input-bounded-output (BIBO) stability even asymptotical under...

In this work we apply a bootstrap method to obtain probabilistic forecasts from past single-valued offered by Numerical Weather Prediction model. The potential of the proposed is assessed with real data four wind farms in Eastern Canada. methodology can be extended other existing point forecasting methods.

Background & Aim: Cycads include two families and 10 genera, representing one of the most primitive taxa extant seed plants, hold important value to scientific research conservation.Among cycads, only about 20 species within genus Cycas have a natural distribution China, which are also endemic China.These primarily found in southwest southeast coast with occupying narrowly distributed area.All this group been classified as first-class national key protected wild plants China due existence...

Energy trading in local energy communities and markets has been receiving high attention recent years owing to the growth of renewables distributed resources prosumer-sides. To trade by prosumers, an management system (EMS) is required not only maximize profit but also coordinate internal resources. In this paper, existing none-convex models for EMS are evaluated with a focus on maximizing trading. It clarified that appropriate guarantee optimality use practice. regard, practical convex...

Abstract With the increase in penetration of wind generation on interconnected power systems, importance ramp forecasting has continuously grown. Large ramps caused by sudden weather changes raise more concerns due to their significant impact system economics and stability. Correct forecasts can help operators utility companies tradeoff risks when scheduling energy electricity market. In this paper, a day-ahead algorithm is developed provide probabilistic for look-ahead times up 48 h using...

With the increase in penetration of wind generation on interconnected power systems, importance ramp forecasting has continuously grown. Large ramps caused by sudden weather changes raise more concerns due to their significantly impact system economics and stability. Correct forecasts can help utility companies trade off risks when scheduling energy electricity market. In this paper, a novel probability algorithm been developed for prediction based similarity search technology with an...

With the development of company, human resource has been increasingly important for a some research shows that positive correlation with company performance. Human capital value is one most company. To satisfy requirements and expansion business, paid dramatic attention to department. In this paper, department Tencent will be shown analyzed. The HR three pillar model practiced by developed new form. significant requirement expand business an strategy promote competitiveness.

Domestic electric water heaters (DEWH) are common residential loads and good candidates for direct load control owing to their energy storage capacity. Power prediction aggregated DEWHs is of great importance controlling them follow desired profile without negative impact the normal end use. Accurate provides extra information optimization during specified time periods. However hysteresis band thermostats randomness end-users' behavior make difficult, especially when aggregation size small....

In this paper, we propose an integrated dynamical model of Connected and Automated Vehicles (CAVs) which incorporates CAV technologies a microscopic car-following to improve safety, efficiency convenience. We rigorously investigate the analytical properties such as well-posedness, maximum principle, perturbation stability proposed in some proper functional spaces. Furthermore, prove that is collision free derive explicit lower bound on distance safety measure.

Thermostatically Controlled Loads (TCLs) are excellent candidates for demand response. Load forecasting of aggregated TCLs is used to help utility companies predict and manage their load demand. This paper presents a generic method that aims at providing accurate forecast different TCL datasets without the need extracting specific predictors. It relies on Data Quantization Dequantization modules processes inputs outputs, group Convolutional Neural Network automatic feature learning...

A comprehensive analysis has been made for the remaining oil of Putaohua layer in Pubei field Songliao basin by using core and logging dynamic data. It is considered that it’s distribution controlled positive structures, lateral fault seal, sedimentary microfacies pattern matching ‘fault-sand’. The forward trap top internal micro-structures on edge block control position enrichment oil; seal affects level underwater distributary channel shallow water delta main sheet sand constitute...

This year, the most attractive current politics and economy news is measures taken by governments to deal with risk caused epidemic. It widely believed that global has suffered seriously from virus. To that, developed countries such as US, Canada, Japan, EU, developing countries, like China, Brazil already announced some policy. As a big country, China worthy be analyzed, compared different period of itself other countries.

This paper proposes an online data-driven Koopman-inspired identification and control method for microgrid secondary voltage frequency control. Unlike typical methods, the proposed requires no warm-up training yet with guaranteed bounded-input-bounded-output (BIBO) stability even asymptotic under some mild conditions. The estimates Koopman state space model adaptively so as to perform effective that can handle nonlinearity uncertainty. Case studies in 4-bus 13-bus test systems (with...

Modern power grids are fast evolving with the increasing volatile renewable generation, distributed energy resources (DERs) and time-varying operating conditions. The DERs include rooftop photovoltaic (PV), small wind turbines, storages, flexible loads, electric vehicles (EVs), etc. grid control is confronted low inertia, uncertainty nonlinearity that challenge operation security, efficacy efficiency. ongoing digitization of provides opportunities to address challenges data-driven control....