In a false data injection attack (FDIA), an adversary stealthily compromises measurements from electricity grid sensors in coordinated fashion, with view to evading detection by the power system bad module. A successful FDIA can cause operator perform control actions that compromise either physical or economic operation of system. this letter, we consider some implications for FDIAs arising late 2015 Ukraine Blackout event.

Residential load forecasting has been playing an increasingly important role in modern smart grids. Due to the variability of residents' activities, individual residential loads are usually too volatile forecast accurately. A long short-term memory-based deep-learning framework with appliance consumption sequences is proposed address such problem. It shown that accuracy can be notably improved by including measurements training data. The effectiveness method validated through extensive...

The cyber security of modern power systems has drawn increasing attention in both academia and industry. Many detection defense methods for cyber-attacks have therefore been proposed to enhance robustness systems. In this paper, we propose a new, distributed blockchain-based protection framework the self-defensive capability against cyber-attacks. We present comprehensive discussion on how blockchain technology can be used grid, by using meters as nodes network which encapsulates meter...

The prevalence of distributed energy resources encourages the concept an electricity "Prosumer (Producer and Consumer)". This paper proposes a trading system to facilitate peer-to-peer sharing among prosumers. proposed includes two layers. In first layer, multi-agent is designed support prosumer network, agent coalition mechanism enable prosumers form coalitions negotiate trading. second Blockchain based transaction settlement trusted secure transactions formed in layer. Simulations are...

This paper proposes a coordinated operational dispatch scheme for wind farm with battery energy storage system (BESS). The main advantages of the proposed are that it can reduce impacts power forecast errors while prolonging lifetime BESS. starts from planning stage, where BESS capacity determination method is to compute optimal and based on historical data; then, at operation flexible short-term BESS-wind forecasted generation scenarios. Three case studies provided validate performance...

Modern power systems are rapidly evolving into complex cyber-physical systems. The increasingly interaction among different energy entities calls for a secure, efficient, and robust cyber infrastructure. As an emerging distributed computing technology, Blockchain provides secure environment to support such interactions. This paper gives prospective on using as infrastructure the future grid. Firstly, basic principles of its state-of-the-art introduced. Then, based smart grid model is...

The increasing prevalence of electric vehicles (EVs) calls for the effective planning charging infrastructure. In this study, a multi-objective, multistage collaborative model is proposed coupled EV station infrastructure and power distribution network. aims to minimize investment operation costs system while maximize annually captured traffic flow. uncertainties loads are modeled three different types stations. FISK's stochastic assignment utilized realistic flows. And new class...

Appliance-level load models are expected to be crucial future smart grid applications. Unlike direct appliance monitoring approaches, it is more flexible and convenient mine meter data generate at device level nonintrusively generalise all households with ownership. This paper proposes a comprehensive extensible framework solve the disaggregation problem for residential households. Our approach examines both modelling of home appliances as hidden Markov solving non-intrusive based on...

Advances in bilateral communication technology foster the improvement and development of home energy management system (HEMS). This paper proposes a new HEMS to optimally schedule resources (HERs) high rooftop photovoltaic penetrated environment. The proposed includes three stages: forecasting, day-ahead scheduling, actual operation. In forecasting stage, short-term is performed generate forecasted solar power load profiles; scheduling peak-to-average ratio constrained coordinated HER model...

Two-way communication facilities and advanced metering infrastructure enable residential buildings to be capable of actively participating in demand side management schemes. This paper proposes a new home energy system (HEMS), which optimally schedules the operation resources, with aim minimize home's one-day electricity cost charged by real-time pricing while taking into account monthly basis peak power consumption penalty, charge tariff. To better ensure user's lifestyle requirements, HEMS...

With the continuous development of smart grid and further restructuring power industry, modern systems have been transformed to complex cyber-physical characterized with high renewable energy penetrations, distributed facilities, advanced metering, communication technologies, as well ever-increasing customer awareness. These new trends pose significant challenges for electricity retailers call innovative decision-making methods. To help researchers engineers a better overview...

Correctly anticipating load characteristics of low voltage level is getting increased interest by distribution network operators. Energy disaggregation could be one the potential approaches to exploit massive amount smart meter data fulfill task. Proper individual home appliance modeling critical performance NILM. In this paper, a hierarchical hidden Markov model (HHMM) framework appliances proposed. This aims provide better representation for those that have multiple built-in modes with...

The intermittency of renewable energy poses challenges on the reliable and economical operations microgrids. This paper considers a grid-connected microgrid model which consists logistics distribution system, where electric vehicles (EVs) depart from depot, deliver goods to multiple demand loads, then, return depot. Based this, this studies coordinated dispatch strategies EVs smooth load fluctuations while ensuring quality services. A operation is proposed optimize driving routes,...

Centralized Charging Station (CCS) provides a convenient charging and maintenance platform for providing battery delivery services to serve Electric Vehicles (EVs)' swapping demands at points. This article proposes an operational planning framework CCS with integration of photovoltaic solar power sources Echelon Battery System (EBS) comprising batteries retired from EVs (known as CCS-PV-EBS). The system is characterized by secondary using support the centrally serving batteries. A rolling...

This study proposes a two‐stage operational planning framework for the short‐term operation of virtual power plant (VPP). In first stage, stochastic bidding model is proposed VPP to optimise bids in energy market, with objective maximise its expected economic profit. The imbalance costs are considered model. second predictive control (MPC)‐based dispatch real‐time actions. model, information resources continuously updated, and deviations between actual output contracted over MPC horizon...

We present a novel control strategy of charging and discharging batteries in distribution system to optimize the energy transaction cost. With an increased proportion renewable system, real demand curve may significantly deviate from forecast curve, which can lead challenge for company making effective purchase plan. The proposed aims at tracking total mitigate risk encourage demand-side bidding. In this paper, short-term load forecasting, wind power solar forecasting are performed. To...

Cyber security of modern power systems has drawn increasing attention in recent years. This paper proposes a class cyber-topology attacks derived from false data injection attacks, with the aim disturbing operation systems. Three kinds attack are proposed: 1) line-addition attack; 2) line-removal and 3) line-switching attack. By directly misleading decision-making process independent system operator, proposed consequently affects economic system. We establish optimal models for different...

The ever-increasing energy demand and high penetration rate of distributed renewable generation brings new challenges to the planning power distribution networks. This paper proposes an expansion model for networks by considering multiple types resources in side, including shared electric vehicle (SEV) charging stations, solar-based sources, battery storage systems. operational characteristics SEV are considered modeled. proposed aims minimize weighted sum network investment cost, losses,...

The development of battery energy storage system (BESS) facilitates the integration renewable sources in distribution system. Both generation and mobile BESS (MBESS) can enhance reliability MBESS facilitate island operation microgrids. This study proposes a set methodologies to assess power network with penetrations intermittent sources. First, an analytic approach based on Markov models is applied for assessing analysis Then method verified by Monte Carlo simulation extended more complex...

This paper proposes a generalized false data injection attack-based cyber topology attack capable of disturbing conventional transactions in the electricity market. The proposed aims to mislead customers pay higher bills wholesale market by making small, undetected price deviations during each interval over an extended period. In this paper, Australian trading mechanism is considered, which single day proposed, spanning totally 288 5-minute dispatch (attack) intervals. poses no security...

With increasing large-scale wind farms being integrated into the power grids, transmission expansion planning (TEP) increasingly requires more flexibility to account for intermittency as well other uncertainty factors involved in process. In this study, a probabilistic TEP model is proposed planners tackle variability and associated with grid connected farms. Both load forecast output uncertainties are considered model. Other include forced outage rates of lines generators, speed correlation...

This paper gives a comprehensive discussion on applying the cloud computing technology as new information infrastructure for next-generation power system. First, this analyzes main requirements of future grid and limitations current infrastructure. Based this, layered cloud-based model is proposed. Thus, discussed how different categories applications can benefit from For demonstration purpose, develops three specific cloud-enabled applications. The first two demonstrate to develop practical...

With the spread of distributed energy resources, sensing infrastructure, and automation facilities, modern homes are becoming "home microgrids." This paper intends to support this trend proposes a two-stage hierarchical management system for smart by considering both day-ahead actual operation stages. In stage, an efficient scenario analysis approach is developed account residential photovoltaic solar power uncertainty. The performs generation reduction based on Wasserstein distance metric...