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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Ren, Xiancheng Zhang, Yin Wu, Feng Yuan, Huling Zhang, Jinlong Chang, Haijun Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In a large number of actual power system operation scenarios, the transient instability scenarios are far smaller than the stable operation scenarios. In the case of imbalanced samples, the rapid transient stability assessment based on machine learning will lead to the learning algorithm preferring to the majority of classes with more samples, thus causing the problem of missing judgment for the transient instability scenarios. This paper proposes an under-sampling method for grouping majority class samples based on K-means. Under the constraint that the proportion of stable samples and unstable samples meets certain conditions, the majority of class stable samples are grouped with the center sample and the sample nearest to the center sample as initial values, and the K-means algorithm is adopted. By regrouping the samples of the majority class successively, multiple training sample subsets composed of unstable samples and multiple groups of stable samples are finally formed. Model training is performed for each training sample set, and the evaluation model of the new mode is judged by the comprehensive distance from the unstable center sample and the stable center sample of each sample subset, and then the transient stability judgment is carried out, so as to improve the accuracy of rapid evaluation under the unbalanced condition of training samples. The effectiveness of the proposed method is verified by an actual power grid example. © 2022 IEEE.

关键词： Learning algorithms

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Recent advances and perspectives towards emission inventories of mobile sources:Compilation approaches,data acquisition methods,and case studies

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Journal of Environmental Sciences 2023年第1期123卷 460-475页

作者： Han Jiang Hefeng Zhang Mingliang Fu Zhihui Huang Hong Ni Hang Yin Yan Ding State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation Chinese Research Academy of Environmental SciencesBeijing 100012China Vehicle Emission Control Center of Ministry of Ecology and Environment Chinese Research Academy of Environmental SciencesBeijing 100012China

In recent years,great efforts have been devoted to reducing emissions from mobile sources with the dramatic growth of motor vehicle and nonroad mobile source *** of a mobile source emission inventory is conducive to the analysis of pollution emission characteristics and the formulation of emission reduction *** study summarizes the latest compilation approaches and data acquisition methods for mobile source emission *** motor vehicles,a high-resolution emission inventory can be developed based on a bottom-up approach with a refined traffic flow model and real-world speed-coupled emission *** top-down approach has advantages when dealing with macroscale vehicle emission estimation without substantial traffic flow *** nonroad mobile sources,nonroad machinery,inland river ships,locomotives,and civil aviation aircraft,a top-down approach based on fuel consumption or power is *** ocean-going ships,a bottom-up approach based on automatic identification system(AIS)data is *** typical cases are studied,including emission reduction potential,a cost-benefit model,and marine shipping emission *** and suggestions are given on future research directions for emission inventories for mobile sources:building localized emission models and factor databases,improving the dynamic updating capability of emission inventories,establishing a database of emission factors of unconventional pollutants and greenhouse gas from mobile sources,and establishing an urban high temporalspatial resolution volatile organic compound(VOC)evaporation emission inventory.

关键词： Emission inventory Mobile source Emission factor Emission control policy

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Remote closed-loop test method of safety and stability control system based on step-by-step implementation 2

Remote closed-loop test method of safety and stability contr...

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2nd International Conference on Digital Society and Intelligent Systems, DSInS 2022

作者： Zhao, Wei Hou, Yuqiang Chen, Xiong Xue, Feng Chen, Wei Chen, Luofei Nanjing211106 China State Key Laboratory of Smart Grid Protection and Control Nanjing211106 China PONOVO Power Co. Ltd. Beijing100000 China

ISBN: (纸本)9781510663244

The safe operation of the safety stability control system is an important means to ensure the safe and stable operation of AC and DC power grids. Aiming at the shortage of existing test methods that cannot perform closed-loop testing of field safety stability control systems, a remote closed-loop test method for safety stability control systems based on step-by-step implementation is proposed. Using the simulation results of real-time digital simulation system (RTDS) as the signal source, a remote test platform architecture integrating laboratory and field safety and stability control devices is designed, key modules such as platform management system, test master and test terminal are developed, specific solutions are given for platform communication, and a remote closed-loop test procedure is formulated. Finally, a pilot application is carried out with an actual power grid security and stability control system as an example, and the effectiveness of the proposed method is verified. © 2023 SPIE.

关键词： Real time systems

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Research on control Strategy and Simulation of MMC-HVDC System Based on Battery Energy Storage System 3

Research on Control Strategy and Simulation of MMC-HVDC Syst...

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3rd International Conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Dai, Liyu Deng, Chaoping Chao, Wujie Wang, Jinke Huang, Junwei Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (纸本)9798350382426

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS. © 2023 IEEE.

关键词： BESS control Strategy HVDC MMC

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Quantitative Intelligent Evaluation of Transient Power Angle Stability based on Cluster Grouping

Quantitative Intelligent Evaluation of Transient Power Angle...

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2022 Power System and Green Energy Conference, PSGEC 2022

作者： Ren, Xiancheng Xu, Taishan Zhang, Yin Bao, Yanhong Wu, Feng Zhang, Jinlong State Key Laboratory of Smart Grid Protection and Control Nari Technology Co. Ltd. Nanjing China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

Aiming at the problem that it is difficult to achieve the quantitative evaluation of transient power angle stability based on artificial intelligence, a quantitative intelligent evaluation method of transient power angle stability based on cluster grouping is proposed. Firstly, the key features of transient power angle stability are selected by the method of comprehensive physical mechanism and data mining. According to the difference requirement parameters of the key features of the train samples, the similar samples are minimized and clustered into groups. The center sample of each group is determined based on the comprehensive minimum of the stable mode difference index. Based on each group of center samples, a transient power angle stability margin estimation model is established and parameters are optimized by linear programming. Determine the effective group to which the new mode belongs by the effective mode distance of each group of samples. Use the model corresponding to each effective group to estimate the margin of the new mode, and take the minimum value of the estimated margin of all effective groups as the estimated value of the transient stability margin of the new mode to realize quantitative intelligent evaluation of transient power angle stability. The effectiveness of the proposed method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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Mn-MOF derived manganese sulfide as peroxymonosulfate activator for levofloxacin degradation: An electron-transfer dominated and radical/nonradical coupling process

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Journal of Environmental Sciences 2023年第8期130卷 197-211页

作者： Xiaolin Han Wei Zhang Shuai Li Congyu Cheng Qi Yu Qilong Jia Lei Zhou Guangli Xiu State Environmental Protection Key Laboratory of Environmental Risk Assessment and Control on Chemical Process School of Resources and Environmental EngineeringEast China University of Science and TechnologyShanghai 200237China Shanghai Environmental Protection Key Laboratory on Environmental Standard and Risk Management of Chemical Pollutants East China University of Science and TechnologyShanghai 200237China Shanghai Institute of Pollution Control and Ecological Security Tongji UniversityShanghai 200092China

Recently,transitionmetal sulfides have attractedmuch attention due to their better catalytic capacities as peroxymonosulfate(PMS)activator than their metal oxide ***,the systematic studies on PMS activation using transition metal sulfides are still *** this work,manganese sulfide(MnS)materials were synthesized via a MOFs-derived method and utilized for PMS activation to degrade levofloxacin(LVF)in water for the first *** expected,MnS exhibited remarkable LVF degradation efficiency by PMS activation,whichwas distinctly higher than Mn_(2)O_(3).The results of quenching experiments,electro spin resonance identification and electrochemical tests indicated that electron-transfer progress was the dominant mechanism inα-MnS/PMS ***,the presence of ^(1)O_(2) and radicals further became the removal of LVF byα-MnS/PMS system into a radical/nonradical coupling *** superior electrical conductivity ofα-MnS thanα-Mn_(2)O_(3) was revealed by DFT calculations,which resulted in the higher catalytic capacity ofα-*** result of XPS also indicated the S species in MnS accelerated the recycle of Mn(IV)/Mn(II)and then promoted the generation of ***,the influence of various environmental conditions on LVF removal and the reusability ofα-MnS were also investigated,which demonstrated the high application potential ofα-MnS/PMS ***,six possible pathways of LVF oxidation in the system were proposed based on the identified byproducts and their ecotoxicity was evaluated with ECOSAR *** work promotes the fundamental understanding of PMS activation byα-MnS and provides useful information for practical application of manganese sulfide in water treatment.

关键词： MnS Metal organic frameworks PMS Levofloxacin Electron-transfer pathway

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Mechanical responses and acoustic emission behaviors of coal under compressive differential cyclic loading(DCL):a numerical study via 3D heterogeneous particle model

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International Journal of Coal Science & Technology 2023年第3期10卷 136-154页

作者： Zhengyang Song Yunfeng Wu Yong Zhang Yi Yang Zhen Yang State Key Laboratory of Water Resource Protection and Utilization in Coal Mining BeijingChina Department of Civil Engineering University of Science&Technology BejingBeijing 100083China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines Anhui University of Science and TechnologyHuainan 232001China

The stability of coal walls(pillars)can be seriously undermined by diverse in-situ dynamic *** on a 3D par-ticle model,this work strives to numerically replicate the major mechanical responses and acoustic emission(AE)behaviors of coal samples under multi-stage compressive cyclic loading with different loading and unloading rates,which is termed differential cyclic loading(DCL).A Weibull-distribution-based model with heterogeneous bond strengths is constructed by both considering the stress-strain relations and AE *** previously loaded samples were respectively grouped to indicate two DCL regimes,the damage mechanisms for the two groups are explicitly characterized via the time-stress-dependent variation of bond size multiplier,and it is found the two regimes correlate with distinct damage patterns,which involves the competition between stiffness hardening and *** numerical b-value is calculated based on the mag-nitudes of AE energy,the results show that both stress level and bond radius multiplier can impact the numerical *** proposed numerical model succeeds in replicating the stress-strain relations of lab data as well as the elastic-after effect in DCL *** effect of damping on energy dissipation and phase shift in numerical model is summarized.

关键词： Differential cyclic loading(DCL) Particle model Acoustic emission(AE) Discrete element method(DEM)Damage mechanism

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Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory

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CSEE Journal of Power and Energy Systems 2022年第5期8卷 1338-1351页

作者： Hongsheng Xu Jinyu Wen Qinran Hu Jiao Shu Jixiang Lu Zhihong Yang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical Electronic Engineering Huazhong University of Science and TechnologyWuhan 430074China NARI Group Corporation Nanjing 211106China School of Electrical Engineering Southeast UniversityNanjing 210096China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

The joint optimization problem of energy procurement and retail pricing for an electricity retailer is converted into separately determining the optimal procurement strategy and optimal pricing strategy,under the“price-taker”*** aggregate energy consumption of end use customers(EUCs)is predicted to solve for the optimal procurement strategy vis a long short-term memory(LSTM)-based supervised learning *** optimal retail pricing problem is formulated as a Markov decision process(MDP),which can be solved by using deep reinforcement learning(DRL)***,the performance of existing DRL approaches may deteriorate due to their insufficient ability to extract discriminative features from the time-series vectors in the environmental *** propose a novel deep deterministic policy gradient(DDPG)network structure with a shared LSTM-based representation network that fully exploits the Actor’s and Critic’s *** designed shared representation network and the joint loss function can enhance the environment perception capability of the proposed approach and further improve the optimization performance,resulting in a more profitable pricing *** simulations demonstrate the effectiveness of the proposed approach.

关键词： Deep reinforcement learning electricity market energy procurement long short-term memory retail pricing

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Improved Droop control for Power Grid Considering state-of-charge of Battery Energy Storage 3

Improved Droop Control for Power Grid Considering State-of-c...

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3rd International Conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Chen, Yuge Li, Zhicheng Deng, Chaoping Zhang, Weijun Zhang, Shuling Gao, Tongtong Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (纸本)9798350382426

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid. © 2023 IEEE.

关键词： battery energy storage (BES) droop control frequency regulation state-of-charge

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Comparison and improvement of key feature selection methods for intelligent assessment of transient power angle stability 5

Comparison and improvement of key feature selection methods ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Zhang, Yin Xu, Taishan Ren, Xiancheng Bao, Yanhong Wu, Feng Zhang, Jinlong Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

key feature selection is of great significance for intelligent assessment of transient power angle stability of power system. This paper proposes a key feature selection method for improved Relief. Through analyzing and comparing the applicability of correlation coefficient, mutual information and Relief, three representative key feature selection methods, in the intelligent assessment of transient angle stability of power system, the applicability of Relief is better. The Relief index reflects the strength of the feature to classify transient power angle stability and instability. By eliminating redundancy and increasing the weight of unstable samples, the accuracy of index calculation and the ability to adapt to sample imbalance are improved. Based on improved Relief, feature is selected by iterative optimization, which can automatically screen out the optimal key feature set. The effectiveness of the method is verified by an example of power grid. © 2022 IEEE.

关键词： Transients

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