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Clean Energy 2024年第2期8卷 89-103页

作者： Zhuan Zhou Jiayu Bian Zhiyong Yu State Grid Xinjiang electric power co. ltdXinjiangChina

With the implementation of China’s carbon-peaking and carbon-neutrality strategy,new energy will achieve leapfrog *** to the good eco.omics of distributed new-energy generation,it can not only save users’own investment,but also help to achieve local co.sumption of new ***,it will also bring about a series of incremental co.ts to the power *** paper first enumerates the co.cept,development status and scheduling mode of a distributed new-energy storage *** on the above,it establishes a new-energy power generation model and an energy storage system charging and discharging model,and proposes a global optimization scheduling model for a distributed new-energy storage system,co.sidering the time-of-use electricity price and taking the lowest total operating co.t of the distributed new-energy power generation system as the objective ***,it proposes a distribution network incremental co.t analysis model based on the penetration of distributed new *** calculation results show that the incremental co.t of grid-co.nected distributed new energy is 1.0849,1.2585 and 1.3473 yuan/kWh,respectively,which indicates that the global dispatching model can optimize the power co.sumption structure of a distributed power generation system,and has the function of peak shaving and valley filling,but the incremental co.t of the distribution network will also increase.

关键词： distributed new energy electrochemical energy storage eco.omic dispatch distribution network co.t time-sharing price

Study on the influence of mechanism dispersion on transient reco.ery voltage distribution of modular DC vacuum circuit breakers

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High Voltage 2024年第2期9卷 346-355页

作者： Chongyang Huang Yongshuai Yin Shuxin Liu Hanwen Du Zengyu Shan Yundong Cao Shurui Yang Key Laboratory of Special electric Machines and High Voltage Apparatus in the Ministry of Education Shenyang University of TechnologyShenyangChina Shenyang power Supply co.pany of State Grid Liaoning electric power co. LtdShenyangChina Chifeng power Supply co.pany of State Grid Mongolia electric power co. LtdChifengChina

A simulation analysis and an experiment are carried out to investigate how the gap difference between the breaks of a direct current vacuum circuit breakers with multi-breaks(MB-DC VCB)caused by the mechanism dispersion of the breaker influences the distribution of TRV among the *** interruption model of MB-DC VCB,co.bining the co.tinuous transition model,is established to analyse the rising rate of transient reco.ery voltage and the dielectric strength reco.ery speed of the breaks for MB-DC VCB under different gap difference *** on the experimental platform of dual break DC vacuum circuit breaker breaking,the co.rectness of the simulation model is verified on a DC VCB with the double-breaks interruption experimental ***,a model is applied to the non-synchronous interruption simulation of a DC VCB with *** relationship between the TRVs of the breaks under different gap difference co.ditions is analysed using the co.parative analysis method,obtaining the maximum gap difference at the moment of breaking *** results of this study show that large-gap breaks have a higher TRV than small-gap breaks(the fracture of the action delay module),with double fractures reaching 1.4 times and triple fractures reaching a maximum of 1.52 times;the ability of small-gap breaks to withstand TRV is weak,giving rise to re-breakdown or even interruption failure;as the number of fractures increases,the maximum gap difference also *** the synchronous interruption ability of the MB-DC VCB is co.ducive to improving the interruption performance and interruption success rate of this type of a circuit breaker.

关键词： TRV transient distribution

High-frequency Resonance Analysis and Impedance Reshaping co.trol of MMC-HVDC System Based on Frequency co.pling Impedance Model

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Journal of Modern power Systems and Clean Energy 2024年第2期12卷 646-657页

作者： Juanjuan Wang Wei Chen Yuekun Liu Chuang Fu Yunming Ye Junjie Feng School of electric power South China University of TechnologyGuangzhouChina Guangdong power Grid co. Ltd.GuangzhouChina electric power Research Institute China Southern Power GridGuangzhouChina

In recent years, high-frequency resonance (HFR) events occurred in several modular multilevel co.verter based high-voltage direct current (MMC-HVDC) projects. The time delay of an MMC-HVDC system is the critical factor that induces HFR. The frequency co.pling affects the impedance characteristics of an MMC and further deteriorates system stability. Therefore, in this paper, a multi-input multi-output admittance model of an MMC-HVDC system is developed to analyze its frequency characteristics. The effects of current loop, power loop, phase-locked loop, and operating point on the MMC frequency co.pling degree are analyzed in detail. Meanwhile, to further suppress HFR in the MMC-HVDC system, an enhanced impedance reshaping co.trol strategy based on the equivalent single-input single-output impedance model is proposed. Finally, the accuracy of the enhanced impedance model and the effectiveness of the impedance reshaping co.trol are verified by electromagnetic transient simulations in PSCAD.

关键词： Modular multilevel co.verter based high-voltage direct current(MMC-HVDC) high-frequency resonance frequency co.pling impedance model impedance reshaping co.trol

Cloud-Edge co.laborative Federated GAN Based Data Processing for IoT-Empowered Multi-Flow Integrated Energy Aggregation Dispatch

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co.puters, Materials & co.tinua 2024年第7期80卷 973-994页

作者： Zhan Shi electric power Dispatching co.trol Center Guangdong Power Grid Co.Ltd.Guangzhou510030China

The co.vergence of Internet of Things(IoT),5G,and cloud co.laboration offers tailored solutions to the rigorous demands of multi-flow integrated energy aggregation dispatch data *** generative adversarial networks(GANs)are instrumental in resource scheduling,their application in this domain is impeded by challenges such as co.vergence speed,inferior optimality searching capability,and the inability to learn from failed decision making ***,a cloud-edge co.laborative federated GAN-based co.munication and co.puting resource scheduling algorithm with long-term co.straint violation sensitiveness is proposed to address these *** proposed algorithm facilitates real-time,energy-efficient data processing by optimizing transmission power co.trol,data migration,and co.puting resource *** employs federated learning for global parameter aggregation to enhance GAN parameter updating and dynamically adjusts GAN learning rates and global aggregation weights based on energy co.sumption co.straint *** results indicate that the proposed algorithm effectively reduces data processing latency,energy co.sumption,and co.vergence time.

关键词： IoT federated learning generative adversarial network data processing multi-flowintegration energy aggregation dispatch

Thermofluidic investigations of oil natural transformer:Closed-loop modelling and experimental validation

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High Voltage 2024年第1期9卷 230-240页

作者： Yuan Li Yiran Gao Chen Wang Chao Zhu Ying Li Yuankai Wang Guanjun Zhang State Key Laboratory of electrical Insulation and power Equipment Xi'an Jiaotong UniversityXi'anChina electric power Research Institute of State Grid Shaanxi electric power co. Ltd.Xi'anChina TBEA Hengyang Transformer co. Ltd.HengyangChina

Excessively high temperatures inside a power transformer can accelerate the ageing rate and even cause unplanned *** estimating the hot-spot temperature(HST)of a power transformer is important for regulating the load and ensuring long-term *** this study,a closed-loop model of a 110-kV product transformer with an oil natural/air forced(ONAF)co.ling mode is built to predict HST,in which the co.pression ratio of windings,equivalent heat source and radiator geometry are *** to the flow field of the winding,the‘dead oil zone’and reverse oil flow are observed in the horizontal oil *** accuracy of the proposed model is experimentally validated by temperature-rise *** results show that the absolute errors between the measured results and simulation are below 5°C,and the average error is~2°***,the arrangements of windings and radiators are studied to enhance the oil *** adding 5 washers to the high-voltage winding,the average temperature can be decreased by 6°C co.pared with the case without a *** the radiator can also mitigate the characteristic temperatures,and the optimal height difference between the radiator and winding centre is suggested to be 0.66 m.

关键词： winding arrangement adding

RL and AHP-Based Multi-Timescale Multi-Clock Source Time Synchronization for Distribution power Internet of Things

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co.puters, Materials & co.tinua 2024年第3期78卷 4453-4469页

作者： Jiangang Lu Ruifeng Zhao Zhiwen Yu Yue Dai Kaiwen Zeng electric power Dispatching and co.trol Center Guangdong Power Grid Co.Ltd.Guangzhou510600China

Time synchronization(TS)is crucial for ensuring the secure and reliable functioning of the distribution power Internet of Things(IoT).Multi-clock source time synchronization(MTS)has significant advantages of high reliability and accuracy but still faces challenges such as optimization of the multi-clock source selection and the clock source weight calculation at different timescales,and the co.pling of synchronization latency jitter and pulse phase *** this paper,the multi-timescale MTS model is co.ducted,and the reinforcement learning(RL)and analytic hierarchy process(AHP)-based multi-timescale MTS algorithm is designed to improve the weighted summation of synchronization latency jitter standard deviation and average pulse phase ***,the multi-clock source selection is optimized based on Softmax in the large timescale,and the clock source weight calculation is optimized based on lower co.fidence bound-assisted AHP in the small *** shows that the proposed algorithm can effectively reduce time synchronization delay standard deviation and average pulse phase difference.

关键词： Multi-clock source time synchronization(TS) power Internet of Things reinforcement learning analytic hierarchy process

Dynamic Eco.omic Scheduling with Self-Adaptive Uncertainty in Distribution Network Based on Deep Reinforcement Learning

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Energy Engineering 2024年第6期121卷 1671-1695页

作者： Guanfu Wang Yudie Sun Jinling Li Yu Jiang Chunhui Li Huanan Yu He Wang Shiqiang Li State Grid Liaoning electric power co. Ltd.Liaoyang Power Supply CompanyLiaoyang111000China Key Laboratory of Modern power System Simulation and co.trol&Renewable Energy Technology Ministry of Education(Northeast Electric Power University)Jilin132012China Jilin Northeast electric power University Science and Technology development co. Ltd.Jilin132012China

Traditional optimal scheduling methods are limited to accurate physical models and parameter settings, which aredifficult to adapt to the uncertainty of source and load, and there are problems such as the inability to make dynamicdecisions co.tinuously. This paper proposed a dynamic eco.omic scheduling method for distribution networksbased on deep reinforcement learning. Firstly, the eco.omic scheduling model of the new energy distributionnetwork is established co.sidering the action characteristics of micro-gas turbines, and the dynamic schedulingmodel based on deep reinforcement learning is co.structed for the new energy distribution network system with ahigh proportion of new energy, and the Markov decision process of the model is defined. Seco.dly, Seco.d, for thechanging characteristics of source-load uncertainty, agents are trained interactively with the distributed networkin a data-driven manner. Then, through the proximal policy optimization algorithm, agents adaptively learn thescheduling strategy and realize the dynamic scheduling decision of the new energy distribution network ***, the feasibility and superiority of the proposed method are verified by an improved IEEE 33-node simulationsystem.

关键词： Self-adaptive the uncertainty of sources and load deep reinforcement learning dynamic eco.omic scheduling

Investigating Periodic Dependencies to Improve Short-Term Load Forecasting

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Energy Engineering 2024年第3期121卷 789-806页

作者： Jialin Yu Xiaodi Zhang Qi Zhong Jian Feng State Grid Zhejiang Jiaxing electric power co. Ltd.Jiaxing314000China State Grid Zhejiang electric power co. Ltd.Hangzhou310000China

With a further increase in energy flexibility for customers,short-term load forecasting is essential to provide benchmarks for eco.omic dispatch and real-time alerts in power *** electrical load series exhibit periodic patterns and share high associations with metrological ***,current studies have merely focused on point-wise models and failed to sufficiently investigate the periodic patterns of load series,which hinders the further improvement of short-term load forecasting ***,this paper improved Autoformer to extract the periodic patterns of load series and learn a representative feature from deep deco.position and *** addition,a novel multi-factor attention mechanism was proposed to handle multi-source metrological and numerical weather prediction data and thus co.rect the forecasted electrical *** paper also co.pared the proposed model with various co.petitive *** the experimental results reveal,the proposed model outperforms the benchmark models and maintains stability on various types of load co.sumers.

关键词： Load forecasting transformer attention mechanism power grid

Cyber-Physical Resilience Enhancement for power Transmission Systems with Energy Storage Systems

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CSEE Journal of power and Energy Systems 2024年第2期10卷 844-855页

作者： Wenhao Zhang Dongyang Rui Weihong Wang Yang Guo Zhaoxia Jing Wenhu Tang School of electric power Engineering South China University of TechnologyGuangzhou 510640China Guangzhou Zhiguang electric co. Ltd and Zhiguang Research Institute(Guangzhou)Co.LtdGuangzhou 510765China

In a power system, when extreme events occur, such as ice storm, large scale blackouts may be unavoidable. Such small probability but high risk events have huge impact on power systems. Most resilience research in power systems only co.siders faults on the physical side, which would lead to overly idealistic results. This paper proposes a two-stage cyber-physical resilience enhancement method co.sidering energy storage (ES) systems. The first stage calculates optimal planning of ES systems, and the seco.d stage assesses resilience and enhancement of ES systems during the disaster. In the proposed model, cyber faults indirectly damage the system by disabling monitoring and co.trol function of co.trol center. As a result, when detection and response process of physical faults are blocked by cyber failures, serious load shedding occurs. Such a cyber-physical co.pling mechanism of fault, response, restoration process is demonstrated in the modified IEEE Reliable Test System-79 (RTS-79). Simulation results show co.pared with the physical-only system, the cyber-physical system has a more accurate but degraded resilient performance. Besides, ES systems setting at proper place effectively enhance resilience of the cyber-physical transmission system with less load Shedding.

关键词： Cyber-physical faults energy storage systems resilience enhancement transmission systems

co.bined Optimal Dispatch of Thermal power Generators and Energy Storage co.sidering Thermal power Deep Peak Clipping and Wind Energy Emission Grading Punishment

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Energy Engineering 2024年第4期121卷 869-893页

作者： Junhui Li Xuanzhong Luo Changxing Ge Cuiping Li Changrong Wang Key Laboratory of Modern power System Simulation and co.trol&Renewable Energy Technology Northeast Electric Power UniversityMinistry of EducationJilin132012China Songyuan power Supply co.pany State Grid Jilin Electric Power Co.Ltd.Songyuan138000China Changchun power Supply co.pany State Grid Jilin Electric Power Co.Ltd.Changchun130021China Jilin electric power co. Ltd.Jilin Songhuajiang Thermal Power Generation Co.Ltd.Jilin132012China

Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into ***,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy co.trol is designed and introduced,and the optimal grid-co.nected power of wind energy is determined as a result of minimizing the peak cutting co.t of the ***,co.sidering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of ***,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and eco.omy of system peak clipping.

关键词： BESS wind energy deep peak clipping virtual peak clipping wind energy emission grading punishment