Research on Flexible Control Strategy of Controllable Large Industrial Loads Based on Multi-Source Data Fusion of Internet of Things

Chen, Guangyu; Zhang, Xin; Chun-hu, Wang; Zhang, Yang-Fei; Hao, Sipeng

doi:10.1109/access.2021.3105526

Cited by 10 publications

(3 citation statements)

References 21 publications

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“…The rapid development of the IIoT has brought about many innovations and efficiency improvements, but it is also accompanied by a series of severe security challenges. Device diversity and complexity make security management even more difficult [18,19]. In industrial environments, there are various types of IoT devices that may come from different manufacturers and use different communication protocols and standards, so uniform security standards and management become very challenging.…”

Section: Iiot Security Challengesmentioning

confidence: 99%

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Nie

2024

JCSANDM

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The security threat of IIoT is becoming increasingly serious. In order to address this challenge, security access control technology based on the ZTM model has become a hot research topic. The aim of this study is to conduct in-depth analysis and research on the security access control technology applied by the ZTM model in industrial Internet of Things environments. By analyzing the current challenges of IIOT security and the limitations of traditional security models, this paper proposes a series of security access control technologies related to the ZTM model, aiming to quantify and evaluate the effectiveness of access control policies, zero trust of the system, and comprehensive risk assessment. By using empirical research methods, this study verified the feasibility of the proposed technology in actual industrial Internet of Things environments and demonstrated the significant effect of the ZTM model in reducing security risks and improving system credibility. The experimental results showed that the optimized security access control technology improved security performance by 28% and the missed detection rate was as low as 3.2%. This study provides useful insights for practical applications in the field of secure access control and provides a solid foundation for future research.

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Section: Iiot Security Challengesmentioning

confidence: 99%

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Nie

2024

JCSANDM

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“…This paper conducts research on improving the flexibility of the EIL, fully tapping into the regulatory capacity of the EIL while meeting the economic requirements of the EIL. Strengthening the interaction with the source side via the EIL is beneficial for compensating for the insufficient peak shaving capacity of thermal power units [19]. In [20], the EIL is introduced into the carbon emission market, along with the self-generation (SG) and load-scheduling models.…”

Section: Introductionmentioning

confidence: 99%

Research on Two-Stage Regulation Method for Source–Load Flexibility Transformation in Power Systems

Hao,

Wang,

Liu

et al. 2023

Sustainability

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Under the premise of continuously increasing the grid-connected capacity of new energy, the fluctuation and anti-peak shaving characteristics of wind power have always constrained the development of green power systems. Considering the characteristics of power system flexibility resources, this paper introduces a two-stage regulation approach for power systems with enhanced source–load flexibility. In the day-ahead stage, an advanced peak regulation transformation is employed, leveraging the combined heat storage device of conventional thermal power units to enhance their peak regulation capability. Additionally, the Energy Intensive Load (EIL) is integrated into the regulation system. A two-level coordinated optimization model is developed, incorporating wind power integration and dispatching power allocation, with the aim of optimizing wind power integration and achieving the optimal allocation of dispatching power. In the intra-day stage, the connection of wind plants and energy storage devices is utilized to minimize the wind power fluctuations and improve the control ability over wind power variations. Compared with traditional methods, the wind power consumption in Scenario 1 and Scenario 2 increases by 2741.1 MW/h and 2478.5 MW/h respectively. Furthermore, the inclusion of an energy storage device in the intra-day stage significantly reduces the wind power fluctuations, maintaining a stable fluctuation rate within ±1%. Therefore, this method can effectively improve the level of wind power consumption and reduce the impact of real-time fluctuations on the power system.

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“…As wind power, photovoltaic, and other new energy sources are greatly affected by the natural environment and have obvious randomness and volatility (Liu Y et al, 2021;Hao C A et al, 2021;Guo T et al, 2020), full consumption of wind power may cause a peak-tovalley difference, deep peak regulation, and sharp increase in peak regulation cost (Ming D A et al, 2021;Wei H et al, 2022;Wang J et al, 2021;Chen et al, 2021) and even cause a potential operation risk of the power grid (Zhou Y et al, 2021;Dall'Anese et al, 2018;Cheng et al, 2019;Deng et al, 2019;Luo et al, 2019). Therefore, when the wind power output is large and the load is low, selectively discarding part of the wind power output can not only reduce the operation risk of the power grid but also help to improve the flexibility of power grid dispatching and the overall economic benefits.…”

Section: Introductionmentioning

confidence: 99%

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

Zhang

Yang²,

Xie³

et al. 2023

Front. Energy Res.

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In view of the large output of wind power during the load trough time, the peak regulation cost may increase sharply, and the traditional hourly dispatch may not be able to accurately track the load fluctuation due to the fluctuation of renewable energy. In this paper, based on different time granularities, an adaptive segmented double-layer economic scheduling model of the net load curve considering reasonable wind abandonment is constructed. The model can better cope with net load changes while reducing the load peak-to-valley difference. First, a reasonable wind abandonment model is established under different time granularities of 5 min, 15 min, 30 min, and 1 h; Then, based on the static thinking of the net load curve by time period, the load change in the hourly scale is fully considered without changing the total number of dispatching periods so that each dispatching period can adaptively select the duration according to the change of net load gradient, and a self-adaptive subsection model of the net load curve is established to minimize the total running cost. Finally, taking IEEE-30 nodes as the example system, the NSGA-II algorithm and CPLEX solver are used to solve the model. The results verify the economy and feasibility of the proposed model.

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Research on Flexible Control Strategy of Controllable Large Industrial Loads Based on Multi-Source Data Fusion of Internet of Things

Abstract: This project has been partially funded by the science and technology project of Heilongjiang Electric Power Co., Ltd., and is funded by the open fund of the collaborative innovation center of Jiangsu distribution network intelligent technology and equipment (XTCX202003).

Cited by 10 publications

References 21 publications

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Analysis and Research on Secure Access Control Technology of Industrial Internet of Things Based on ZTM Model

Research on Two-Stage Regulation Method for Source–Load Flexibility Transformation in Power Systems

Curve and double-layer economic dispatching considering reasonable wind abandonment under different time granularities

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