Renewable energy is boosting the deployment of microgrids (MGs) with stochastic and low inertia nature. To improve operational efficiency MGs while guaranteeing frequency security, a three-stage unit commitment problem proposed, where renewable can be deloaded. In first stage, diesel generators (DGs) are scheduled, responding to uncertainties loads photovoltaic generator output. second outputs DGs optimized reduce cost under uncertain disturbances. third novel PV deloading strategy proposed...

Wind power curve modeling is essential in the analysis and control of wind turbines (WTs), data preprocessing a critical step accurate modeling. As traditional methods do not sufficiently consider WT models, this paper proposes new cleaning method for In method, model-data hybrid-driven (MDHD) outlier detection algorithm constructed, an adaptive update rule major parameters designed based on model mechanism. Simultaneously, because MDHD considers multiple types operating WTs, anomaly results...

Abstract The penetration of offshore wind farms (OWFs) in city‐close power systems is rapidly increasing. System inertia will be further reduced. Active frequency support essential to solve the load control (LFC) problem. Here, dynamic virtual (VIC) method employed enhance stability within permitted operating states OWFs. An adaptive distributed model predictive (DMPC) proposed and applied an interconnected system. VIC‐based LFC derived used construct DMPC. To expand adaptation analytical...

Thermal runaway propagation (TRP) in lithium-ion battery applications causes severe safety hazards. Utilizing phase change material (PCM) with optimized thermal properties can effectively buffer heat diffusion among batteries, thereby potentially inhibiting TRP. However, the realization of such a goal requires an efficient and reliable model along effective optimization strategy. Herein, lumped resistance network is developed for PCM-based module, TRP process calculated two minutes using...

The effective fault diagnosis of the motor bearings not only can ensure smooth and efficient operation equipment but also detect eliminate running in time to prevent major accidents. Based on deep learning algorithm, this article constructs a stacked auto-encoder network. input data are compressed reduced by introducing sparsity constraint, so that network accurately extract characteristics data, recognition ability be improved random noise. simulation result shows overcome shortcomings...

With large-scale integration of electric vehicles, this paper investigates the load frequency control problem in an islanded microgrid with plug-in vehicles (PEVs), which can be regarded as mobile battery energy storages to provide a valuable contribution regulation. A novel fully-distributed strategy is proposed achieve fast regulation microgrids and effective coordination distributed sources. Firstly, based on improved linear active disturbance rejection algorithm realized through...

The photovoltaic poverty alleviation project (PPAP), with functions of clean generation and assistance, is regarded as an effective way to promote energy structure transformation social coordinated development. Improper site selection poses a threat stable profits, which hinders PPAP However, existing index systems fail reflect PPAPs’ characteristics, traditional decision-making techniques are faced some problems such information loss evaluation bias. Therefore, hybrid framework for...

Improving the energy efficiency of data center has become a research focus in recent years. Previous works commonly adopted inlet temperature constraint to optimize thermal environment center. However, temperature-aware method cannot prevent servers from over-cooling. To cope with this issue, we propose thermal-aware workload allocation strategy respect chip constraint. In paper, conducted comparative evaluation performance between and strategies. The strategies adopt POD-based heat...

The frequency regulation has become one of the major subjects in microgrid power system due to complexity structure microgrid. In order solve this problem, paper proposes an improved linear active disturbance rejection control algorithm (ILADRC) that can significantly improve performances through changing feedback law reduce estimation error extended state observer. Then, proposed is employed which demonstrates its effectiveness. parameters controllers are optimized by particle swarm...

The coal mill is one of the important auxiliary engines in coal-fired power station. Its operation status directly related to safe and steady units. In this paper, a model-based deep learning algorithm for fault diagnosis proposed effectively detect state mills. Based on system mechanism model mills, massive data are obtained by analyzing simulating different types faults. Then, stacked autoencoders (SAEs) established combining said with algorithm. SAE trained data, which provide it...

Abstract To enhance the resilience of transmission systems with offshore wind farms before advent typhoons, a proactive unit commitment scheme is proposed. A novel scenario tree proposed to quantify uncertain impacts typhoons on farms, lines, and system states, where inertia support from random state are in‐cooperated. The frequency security constraint captured by multi‐variative piece‐wise linear function, nadir simulated under varying disturbance combinations. problem formulated as...

Highly intermittent renewable energy sources pose new challenges to microgrid operation and control. Thus, many distributed control strategies have been proposed solve this problem. However, for most previous studies, the system frequency fluctuation can be further controlled on basis of optimal strategy. This paper proposes a novel strategy battery storage in an islanded provide desired performance fast recovery. The is implemented through multi-agent based consensus algorithm, which only...

Comparing with the traditional chemical and physical method, electromagnetic water treatment technology draws more attention of researchers for its advantages easy application, small investment, low cost, being pollution free in recent years. However, due to less study formation process adhesion fouling on surface heat exchange equipment, anti-fouling performance cannot be well evaluated. This paper studies numerical simulation flow states circulating cooling tubes a straight shape U-shaped...

ABSTRACT The organic Rankine cycle (ORC) serves as an effective means of converting low‐grade heat sources into power, playing a pivotal role in environmentally friendly production and energy recovery. However, the inherent complexity, strong unidentified nonlinearity, control constraints pose significant challenges to designing optimal controller for ORC systems. To address these issues, this research introduces novel modeling framework Leveraging attention mechanism‐based long short‐term...