A Smarter Grid Operation: New Energy Management Systems in China

Xin, Yaozhong; Zhang, Boming; Zhai, Mingyu; Li, Qiang; Zhou, Haibin

doi:10.1109/mpe.2017.2779551

Cited by 19 publications

(9 citation statements)

References 2 publications

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“…P L , P G Total capacity of system load/ generation. R 1 Ratio of the static load to the total load.…”

Section: K Regmentioning

confidence: 99%

“…Sichuan and Yunnan provinces), and over 70% of the energy is consumed by East China and Central China where primary energy resources are scared. The UHVAC/UHVDC hybrid power grids are established by the SGCC in these provinces to transmit large-scale electricity eastward [1], [2]. To ensure the safety of energy supply and emission reduction [3], the Chongqing-Hubei back-to-back flexible HVDC interconnection project has been put into operation on June 24, 2019, thus SCG becomes asynchronously interconnected to the Central China-North China AC interconnection system.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Area Automatic Generation Control Scheme Considering Frequency Quality in Southwest China Grid: Challenges and Solutions

Tan

Liu

et al. 2020

IEEE Access

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Southwest China Grid (SCG) is one of the hydropower-rich power grids around the world. SCG has recently been into asynchronous operation mode, it is expected to face challenges in low inertia and frequency stability issues caused by the hydraulic turbine governing system (HTGS), which brings profound changes to the validity and stability for the multi-area automatic generation control (AGC) power systems. This paper analyzes the frequency control problems of SCG according to the operation data from asynchronous operation tests. To overcome the large overshoot and reverse regulation for external disturbances, frequency-based segment values of frequency bias for areas under TBC mode are developed considering multi-deadband effects, and a switching method of control modes for supporting largedisturbance recovery is proposed. Based on the complex and nonlinear of AGC systems, a fuzzy PD+I controller is proposed to reduce the excessively large overshoot. Furthermore, the rule for tuning D gain is established by the sign of change of area control error (ACE), and flexible I-part is applied to the control process based on the relationship between ACE and frequency. Then, we also provide filter-based control strategies with adaptive parameters to effectively coordinate hydropower and thermal power generators. The filter coefficients are computed considering various delays within AGC systems. Some case studies and actual operating conditions demonstrate the efficiency and accuracy of the proposed ideas compared with current control strategies.INDEX TERMS Automatic generation control, hydroelectric power generation, frequency response characteristic, full dynamic simulation. NOMENCLATURE Abbreviations AAL Area control error alarm limit. ACE Area control error. ADI Area control error diversity interchange. AEL Area control error emergency limit. AFC Additional frequency controller. AGC Automatic generation control. ANL Area control error normal limit. AUTOR Automatic base-point with regulation. BAAL Balancing authority area control error limit. CA Control area. CCS Coordinated control system. CG Conventional generator. CPS Control performance standard. D Derivative. DC Direct current. DFT Discrete Fourier Transform. DSA Dynamic Stability Assistant.

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“…P L , P G Total capacity of system load/ generation. R 1 Ratio of the static load to the total load.…”

Section: K Regmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Area Automatic Generation Control Scheme Considering Frequency Quality in Southwest China Grid: Challenges and Solutions

Tan

Liu

et al. 2020

IEEE Access

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“…With the construction of a power supply company's power dispatching data network, the main station has been consecutively connected to all county dispatching services, resulting in further convergence and an increase in information flow in the main station, which puts considerable pressure on the dispatching data network and the main station dispatching automation system [19,20]. Due to access to county transfer automation business, the operation analysis report of power dispatch automation shows that many hidden defects are generated in the information flow, which is very difficult to trace and analyze due to the large amount of data and fast disappearance of information flow [21,22]. The dispatching automation system sometimes encounters the problem of misreporting or omitting information due to misdirected data from communication channels or plant and station general control equipment [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

Luo¹,

Li²,

Yang³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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The emergence of power dispatching automation systems has greatly improved the efficiency of power industry operations and promoted the rapid development of the power industry. However, with the convergence and increase in power data flow, the data dispatching network and the main station dispatching automation system have encountered substantial pressure. Therefore, the method of online data resolution and rapid problem identification of dispatching automation systems has been widely investigated. In this paper, we perform a comprehensive review of automated dispatching of massive dispatching data from the perspective of intelligent identification, discuss unresolved research issues and outline future directions in this area. In particular, we divide intelligent identification over power big data into data acquisition and storage processes, anomaly detection and fault discrimination processes, and fault tracing for dispatching operations during communication. A detailed survey of the solutions to the challenges in intelligent identification over power big data is then presented. Moreover, opportunities and future directions are outlined.

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“…The output of renewable energy power generation (such as wind power and photovoltaic) has natural randomness and volatility. Ensuring the utilization of new energy in the power system is a key problem in the operation of China's power system [4][5]. It is an important means for the power industry of China to ensure the stable utilization of renewable energy in the power system by constructing sufficient transmission channels, configuring energy storage, improving the flexibility of power users, and using digital analysis and application of power business [6][7].…”

Section: Introductionmentioning

confidence: 99%

Effect of the Digital Transformation of Power System on Renewable Energy Utilization in China

et al. 2021

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Power system based on renewable energy is the development direction of power system of China. To further boost the development of China's power industry, the digital transformation of power industry is underway. This study examined the panorama of digital transformation of power industry of China. Through an analysis of digital transformation's effect on renewable energy utilization, three business applications that affect renewable energy utilization were identified: short-term prediction of renewable energy output, renewable energy equipment maintenance, and intelligent power-grid maintenance. The implementation process and effect of the above three business applications are analyzed in detail. The typical representative regions of renewable energy development in China are selected as cases, the effect of the digital transformation of power industry on the efficiency of renewable energy utilization was empirically investigated using the following data covering 2012-2019: the short-term prediction accuracy of renewable energy output, the reduction in the mean time to the fault restoration of renewable energy equipment to the industry average, the reduction ratio of the mean time to power grid fault restoration to the industry average, and the rate of renewable energy utilization. The results indicated that digital transformation boosted the efficiency of renewable energy utilization. Based on the findings, suggestions are proposed for improving the digital transformation of power industry and thereby promoting renewable energy utilization. The first suggestion is to emphasize the scale efficiency of digital application in early stage of digitization and renewable energy development, and emphasize the technical performance of digital application in middle and later stage of development. The second suggestion is to enhance data accuracy, such as meteorological data, historical data for renewable energy power stations, power equipment status data, and strengthen the application of algorithms and computational models. The third suggestion is to improve the overall digitalization rate of the power industry.

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A Smarter Grid Operation: New Energy Management Systems in China

Cited by 19 publications

References 2 publications

Multi-Area Automatic Generation Control Scheme Considering Frequency Quality in Southwest China Grid: Challenges and Solutions

Multi-Area Automatic Generation Control Scheme Considering Frequency Quality in Southwest China Grid: Challenges and Solutions

Intelligent Identification over Power Big Data: Opportunities, Solutions, and Challenges

Effect of the Digital Transformation of Power System on Renewable Energy Utilization in China

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