According to the U.S. Department of Energy, about 40% total energy is consumed on buildings in industrialized countries, among which 68% electricity. Recently research shows that 20%∼30% building consumption can be saved with optimized operation and management without changing structure hardware configuration supply system significantly. Therefore, there a huge potential for savings through efficient operation.

In commercial buildings, about 40%-50% of the total electricity consumption is attributed to Heating, Ventilation, and Air Conditioning (HVAC) systems, which places an economic burden on building operators. this paper, we intend minimize energy cost HVAC system in a multi-zone with consideration random zone occupancy, thermal comfort, indoor air quality comfort. Due existence unknown dynamics models, parameter uncertainties (e.g., outdoor temperature, price, number occupants), spatially...

Zero-carbon clean energy such as hydrogen has been developed rapidly to reduce carbon emissions, gradually promoting them the main supply for multi-energy microgrids (MEMGs), which motivates deployment of hydrogen-based MEMG (H-MEMG). The difficulty H-MEMG scheduling problem is how handle source/load uncertainties ensuring solution feasibility and economics in actual operation. To this end, paper proposes a novel multi-stage adaptive stochastic-robust optimization (MASRO) approach, combines...

A smart building energy system usually contains multiple sources such as power grids, autonomous generators, renewable resources, storage devices, and schedulable loads. Storage devices batteries, ice/heat units, water tanks play an important role in reducing cost systems since they can help sufficiently utilize resources time-of-use electricity prices. It is to plan, schedule, coordinate all the together with loads a facilitated by microgrid technology. To consider above problem...

Smart home is an emerging area that opens up a diverse set of downstream applications, such as dynamic pricing and demand response techniques, whose goals are typically to lower power consumption while providing comfortable convenient services. has been extensively studied, shown be beneficial in people's real lives. Although useful, typical smart platforms work at the "servant" level - highly dependent on user inputs with no predictions human demands which, if well addressed, would...

Recent cybersecurity incidents such as Stuxnet and Irongate alert us to the threats faced by critical cyber-physical systems. These attacks compromise control signals push system unsafe regions meanwhile, inject fake sensor measurements cover ongoing attack. Detecting these Stuxnet-like (SL) still remains an open research issue. This paper analyzes taxonomy, construction, implication of SL in CPS loops. We propose apply moving target defense (MTD) approach that actively changes configuration...

Networked microgrids that integrate the hydrogen fueling stations (HFSs) with on-site renewable energy sources (RES), power-to-hydrogen (P2H) facilities, and storage could help decarbonize transportation sectors. In this paper, to support hydrogen-based networked planning subject multiple uncertainties (e.g., RES generation, electric loads, refueling demands of vehicles), we propose a two-stage stochastic formulation mixed integer conic program (MICP) recourse decisions. Our involves...

This paper proposes a trilevel mixed-integer formulation to coordinately schedule the electricity-hydrogen distribution network (EHDN) with resilience consideration. The rescue hydrogen system is first studied and modeled based on roadway transportation vehicle-to-grid power supply of mobile energy resources (MHERs). Various practical constraints traffic capacity, travel distances time delaying are incorporated. Then, improve economic viability EHDN fulfill load survivability requirement in...

False data injection (FDI) is considered to be one of the most dangerous cyber-attacks in smart grids, as it may lead energy theft from end users, false dispatch distribution process, and device breakdown during power generation. In this paper, a novel kind FDI attack, named tolerable (TFDI), constructed. Such attacks exploit traditional detector’s tolerance observation errors bypass bad detection. Then, method based on extended distributed state estimation (EDSE) proposed detect TFDI grids....

In recent years, hydrogen-based multi-energy systems (HMESs) have received wide attention. However, existing works on the optimal operation of HMESs neglect building thermal dynamics, which means that flexibility loads can not be utilized for reducing system cost. this paper, we investigate an problem HMES with consideration dynamics. Specifically, first formulate expected operational cost minimization related to HMES. Due existence uncertain parameters, inexplicit dynamics models, spatially...

Bad Data Injection (BDI) in Smart Grid is considered to be the most dangerous cyber attack, as it might lead energy theft on end users, false dispatch distribution process, and device breakdown power generation. State Estimation Detection, which are applied reduce observation errors detect data traditional grid, could not bad smart grid. In this paper, three BDI attack cases IEEE 14-bus system designed bypass detection. The potential risks economy security analyzed exploiting MATPOWER. A new...

Many commercial office buildings have become micro smart grids with on-site power generations, storage devices, and uncertain demands. Due to the pervasive nonlinearity randomness of such a multi-energy system, simulation is usually only faithful way accurately describe system dynamics for performance evaluation. However, time-consuming each sample path provides noisy observations. Thus finding optimal energy management policy nontrivial. In this paper, joint schedule problem considered...