It has been demonstrated theoretically and experimentally that the Vehicle-to-Grid (V2G) enabled electric vehicle (EV) charger is of a reactive power compensation ability with battery or capacitor connected. To exploit aggregated V2G abilities massively dispersed EV chargers, distributed model predictive control (DMPC) strategy applying to both balanced unbalanced distribution networks (DNs) proposed integrate them into real-time DN voltage regulation. Firstly, based on instantaneous theory...

Due to global climate change, the effect of extreme weather on power systems has attracted extensive attention. In prior-art grid resilience studies, hurricanes or wildfires are mainly defended in terms expected line damages, while they prone trigger short-circuit fault (SCF) evolved with dynamic influence reality. this paper, a fragile model is developed evaluate nodal SCF probability considering insulation aging equipment and condition. Then, response framework for events transmission...

Stability is an important constraint in power system operation and the transient stability constrained optimal flow (OPF) has always received considerable attention recent years. In this paper, defects of existing models algorithms around topic are firstly analyzed, on basis which, a multi-objective optimization method proposed. The basic idea proposed to model as objective function rather than inequality consider classic OPF (TSCOPF) tradeoff procedure using Pareto ideology. Second,...

The allocation of fault current limiters (FCLs) is increasingly challenging in transmission systems these days. Specifically, the utilized deterministic expected short-circuit (SCF) scenarios are prone to cause over-configuration FCLs. Moreover, well-established local switching framework (LSF) renders inappropriate FCL and may further harm system safe operation. Aiming at above deficiencies, a novel 5G-based centralized switch (CSF) as well method allocate such flexible FCLs optimally...

The battery energy storage system (BESS) has been envisaged as an effective solution for renewable accommodation in power systems. However, the residual capacity and maximum of large-scale BESS are highly affected by thermally-induced incidents such degradation Thermal Runaway (TR) propagation. In prior-art studies, impacts on service performance have not well modeled, resulting relatively over-optimistic reliability estimation this paper, grid-connected BESSs its overall systems...

With the rapid urbanization, electrical infrastructure spreads to raw areas without existing loads. How achieve accurate long-term load forecasts based on land use plans is a realistic problem. On other hand, forecasting (LF) should be extended high spatial resolutions guide middle- or low-voltage planning and time domain consider impacts of distribution generations diversified users multi-period system demands. A data-driven bottom-up temporal LF approach proposed in this paper solve these...

High-capacity long-distance transmission lines, such as high-voltage direct-current (HVDC) are vulnerable to extreme weather. Their failures may cause significant power loss and frequency drop in the receiving-end systems, which should be considered system scheduling. In this paper, failure rates of lines subject weather conditions firstly modeled obtain probability events. Then, a novel criterion defined by integration abnormal during primary secondary regulation process is proposed measure...

In some emerging Internet data center (IDC) projects, the waste heat dissipated from IT facilities is being captured and supplied to district heating systems for energy efficiency concerns. From perspective of electricity consumption production, IDCs can be regarded as prosumers, whose spatial temporal flexibility behaviors great significance operation integrated electricity-heat (IEHSs). To explore potential benefits, required modeling dispatching techniques are investigated in this paper....

With the coordination of multiple energies at city level, complexity urban energy system is ever-increasing. Securing reliable operation multi-energy (UMES) has become a challenging task. This article focuses on operational reliability evaluation UMES considering incorporation equivalent storages. First, novel concept dynamic hub proposed, as unified tool to characterize relationships operating conditions diverse components in UMES. Then, temperature-controlled load (TCL) modeled storage...

The wide utilization of gas-fired generation and the rapid development power-to-gas technologies have led to intensified integration electricity gas systems. random failures components in either or system may a considerable impact on reliabilities both Therefore, it is necessary evaluate systems considering their integration. In this paper, novel reliability evaluation method for integrated electricity–gas (IEGSs) proposed. First, network equivalents are utilized represent models generating...

In low‐voltage power distribution systems with high penetration of photovoltaics (PVs) generation and electric vehicles (EVs), the over‐voltage problem arises at times because large PV generation, under‐voltage also sometimes simultaneous charging massive EVs. Over‐ problems lead to more difficulties in achieving voltage regulation. Demand response (DR) is expected be promising cost‐effective promoting smart grids, hence, utilisation flexible resources (FRs) through DR can helpful for system...

With the development of advanced metering infrastructure (AMI), electrical data are collected frequently by smart meters. Consequently, load volume and length increase dramatically, which aggravates storage transmission burdens in grids. On other hand, for event detection or market-based demand response applications, service entities (LSEs) want meter readings to be classified specific meaningful types. Considering these challenges, a stacked auto-encoder (SAE)-based mining approach is...

With various components and complex topologies, the applications of high-voltage direct current (HVDC) links bring new challenges to interconnected power systems in aspect frequency security, which further influence their reliability performances. Consequently, this paper presents an approach evaluate impacts HVDC link outage on system considering regulation process during contingencies. Firstly, a multi-state model with different available loading rates (ALRs) is established based its...

With the booming of electric vehicles (EVs) across world, their increasing charging demands pose challenges to urban distribution networks. Particularly, due further implementation time-of-use prices, behaviors household EVs are concentrated on low-cost periods, thus generating new load peaks and affecting secure operation medium- low-voltage grids. This problem is particularly acute in many old communities with relatively poor electricity infrastructure. In this paper, a novel two-stage...

With the development of advanced metering infrastructure, massive smart meter readings are generated and stored in grids, which makes it possible for detecting tremendous social value embedded load data. The majority existing data mining works performed on daily time scale without adequate consideration information between days. To better describe power consumption characteristics users, a approach based weekly curves is proposed this paper. First, piecewise aggregate approximation technique...

Electricity theft decreases electricity revenues and brings risks to power usage’s safety, which has been increasingly challenging nowadays. As the mainstream in relevant studies, state-of-the-art data-driven approaches mainly detect events from perspective of correlations between different daily or weekly loads, is relatively inadequate extract features hours more fine-grained temporal data. In view above deficiencies, we propose a novel detection scheme based on text convolutional neural...

Electricity-driven thermostatically controlled loads (TCLs), e.g., air conditioners (ACs), have been widely utilized in demand response (DR) to provide operating reserve for power systems. However, the rebound effects may occur during recovery process of DR, which can limit quality ACs or even affect reliable operation With community-level smart energy hubs (EH), traditional electricity-driven TCLs be expanded into multi-energy driven (MTCLs), household radiators. Under this circumstance,...

Thermostatically controlled loads (TCLs) have promising regulation potential and are regarded as valuable flexible resources. Due to the relatively lower operating power, TCLs always aggregated participate in various programs. However, intrinsic response delays of aggregation result slower speed limit further implementation fast frequency (FFR) service, which is urgently needed by renewable power systems without sufficient inertias. Therefore, a non-aggregate method based on edge intelligent...

With the increasing interconnection between gas and power networks, a small fraction of failed components caused by extreme events may trigger widespread cascading failures in an interdependent network (IGPN). A question practical interest is how many initially could break down whole network, which can help us determine condition for collapse system. Considering that, resilient region defined expected minimal to system proposed IGPNs analyze resilience from macroscopic perspective. To...

This brief proposes a simulation-driven framework that exploits the Monte Carlo simulation and linear regression method to fit implicit relationship between integral frequency deviation reserve allocations during primary response process of power systems. The fitted model is incorporated into distributionally robust economic dispatch as dynamic constraints optimally schedule system while hedging against uncertain residue. Numerical studies on IEEE 39-bus validate effectiveness in fitting...

The extreme weather disaster is a main threat to the operation of integrated electricity and heat systems (IEHSs), particularly cold wave, which prone cause surges in regional demand for electricity. In IEHSs, Internet data centers (IDCs) consume huge amount generate waste heat. former can be regulated spatially by migrating workloads interconnected network interrupted temporally with equipped backup generators or uninterruptible power supply (UPS), latter captured supplied districts using...