Towards the end of twentieth century, world has witnessed an amazing economic take‐off in East Asia, especially within territory so‐called “Greater China”, encompassing PRC and Taiwan. Against this cultural background, study surveyed 258 189 employees respectively Taiwan, (Shanghai), to examine generalizability a generic work‐stress model Chinese societies. It further examined sub‐cultural differences processes, by drawing contrast In addition, roles emic constructs primary secondary control...

The battery energy storage system (BESS)-integrated wind farm (WF) has been widely proposed in the literature to reduce variability of power generation. state charge (SOC) feedback strategy is a basic and important keep SOC BESS within its proper range while smoothing out fluctuations WF. In this paper, novel based on short-term forecast scenario analysis proposed. Other than mainly considering real-time information existing strategies, principal idea new estimate varying curve advance...

Battery storage management that involves multiple revenue streams would affect customers' monthly electricity costs. In this article, a three-level model of battery is proposed for achieving various functionalities, including energy arbitrage, peak shaving, and frequency regulation. The original joint optimization problem with the horizon one month decomposed into three subproblems according to time scales, covering daily power baseline decision, hourly regulation capacity submission,...

Abstract Accurately forecasting multi‐load in integrated energy systems is crucial for enhancing overall efficiency and achieving greater economic benefits. However, a strong spatial correlation exists between load meteorology. Graph attention network, kind of neural network model dealing with graph data, can greatly analyse the intrinsic relationship meteorological factors. To this end, prediction multi‐task learning proposed. Firstly, considering complex influencing factors multi‐load,...

This paper presents the design of an electric amphibious vehicle with buoyancy provided by inflatable pontoons, referred to as Electric Inflatable Pontoon (E-IPAMV). To investigate effect pontoon arrangements on resistance performance, maneuverability, seakeeping, transverse stability, and longitudinal stability E-IPAMV, STAR-CCM+ Maxsurf are used solve above performance parameters. A constrained space Latin hypercube experimental is employed, using lengths pontoons at five installation...

With the increase in power receiving proportion and an insufficient peak regulation capacity of local units, receiving-end grid struggles to achieve valley time. To solve this problem while considering potential large-scale charge load electric vehicles (EVs), aggregator-based demand response (DR) mechanism for EVs that are participating time is proposed study. In DR mechanism, profits grid's operation participation willingness EV owners considered. Based on characteristics charging process...

Resilience against major disasters is the most essential characteristic of future electrical distribution systems (EDSs). A multi-agent-based rolling optimization method for EDS restoration scheduling proposed in this paper. When a blackout occurs, considering risk losing centralized authority due to failure common core communication network, available agents after or cyber-attacks identify communication-connected parts (CCPs) with distributed communication. multi-time interval model...

The life loss of batteries caused by the daily operation implies a reduction in capital value, which is essential for economic performance storage-containing systems. Most current studies rarely considered it or simplified to be proportional throughput electricity, due its multi-factor dependence and complexity incorporated into dispatch models. This study presents dynamic evaluation model that considers cumulative effect state charge (SOC) changes. First, based on results battery aging...

Due to the randomness and uncertainty of renewable energy output increasing capacity its access power system, deep peak load regulation system has been greatly challenged. The application storage unit is a measure reduce pressure thermal units. In this paper, joint optimal scheduling model photovoltaic, units established. impacts on operation economy photovoltaic abandonment are studied. comprehensive cost measuring considers fuel that changes with in quadratic function relationship,...

This paper discusses the detectability and asymptotic reconstructability of state two-dimensional (2-D) singular systems. The sufficient conditions 2-D systems are discussed a constructive procedure for designing general observers is provided. an algorithm class full-order observer given. Meanwhile, properties feedback that contain obtained. Two corresponding examples

Backgroud The uncertainty associated with renewable generation and loads imposes various challenges for the economic operation of microgrids. On residential side, energy storage systems are implemented high expectations to enhance photovoltaic power consumption electricity price arbitrage. Aims This paper proposes an expectation-oriented stochastic model optimal management household batteries cope uncertain consumption. Materials & Methods exact cost expectation daily is formulated as...

As a major tool for reducing carbon emissions, the ownership of electric vehicles is increasing year by year. When EV numbers reach certain level, it equivalent to huge load randomly connected network, bringing new challenges daily monitoring and management charging stations. Accurate prediction methods stations with high reliability are basis ensuring safe operation supporting planning decisions construction expansion infrastructure. In this paper, station divided into three categories:...

Recent years, the increasingly decrease of battery energy storage system (BESS) costs makes BESS-assisted fast-charge station economically feasible. Meanwhile, implementation BESS could help distribution network alleviate strike from massive charging load. To ensure fast-charging attaining optimum economic benefit, has to be optimally sized. In this paper, a double-layer optimization method is proposed Figure out sizing optimization, and genetic algorithm (GA) with elitist strategy was used...

Maximizing the return on electric vehicle charging station (EVCS) operation helps to expand EVCS, thus expanding EV (electric vehicle) stock and better addressing climate change. However, in face of dynamic regulation scenarios with large data, multiple variables, low time scales, existing strategies aiming at maximizing EVCS returns many times fail meet demand. To handle increasingly complex scenarios, a deep reinforcement learning algorithm (DRL) based improved twin delayed deterministic...