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Pathway Planning of Nuclear Power Development Incorporating Assessment of Nuclear Event Risk

Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 500-513页

作者： Xinxin Yang yusheng xue Bin Cai School of Electrical Engineering Southeast UniversityNanjingChinaand they are also with State Grid Electric Power Research Institute(NARI Group Corporation)NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina

The nuclear event risk(NER)is an important and disputed factor that should be reasonably considered when planning the pathway of nuclear power development(NPD)to assess the benefits and risks of developing nuclear power more *** paper aims to explore the impact of nuclear events on NPD pathway *** influence of nuclear events is quantified as a monetary risk component,and an optimization model that incorporates the NER in the objective function is *** optimize the pathway of NPD in the lowcarbon transition course of power supply structure evolution,a simulation model is built to deduce alternative NPD pathways and corresponding power supply evolution scenarios under the constraint of an exogenously assigned carbon emission pathway(CEP);moreover,a method is proposed to describe the CEP by superimposing the maximum carbon emission space and each carbon emission reduction(CER)component,and various CER components are clustered considering the emission reduction characteristics and resource endowments of different power generation technologies.A case study is conducted to explore the impact of NER and its risk valuation uncertainty on NPD pathway *** method presented in this paper allows the impact of nuclear events on NPD pathway planning to be quantified and improves the level of coordinated optimization of benefits and risks.

关键词： Low-carbon transition power supply structure evolution nuclear power development(NPD) quantitative analysis nuclear event risk evaluation

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面向恢复决策的新型电力系统恢复目标重要度统一评估

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电力系统自动化 2024年第10期48卷 42-53页

作者：薛峰王昊昊薛禹胜南瑞集团有限公司(国网电力科学研究院有限公司) 江苏省南京市211106

在大停电发生后,如何在恢复过程中充分利用有限的可用容量快速恢复更有价值的恢复目标是电力系统快速恢复供电、减少停电损失的关键问题。充分利用新型电力系统中高占比新能源电源的恢复容量,提出了一种基于新型电力系统恢复目标重要度... 详细信息

在大停电发生后,如何在恢复过程中充分利用有限的可用容量快速恢复更有价值的恢复目标是电力系统快速恢复供电、减少停电损失的关键问题。充分利用新型电力系统中高占比新能源电源的恢复容量,提出了一种基于新型电力系统恢复目标重要度统一评估的恢复决策方法。首先,面向待恢复新能源电源的重要度评估,建立了考虑时空相关性的新能源电源多时步期望序列场景生成方法。其次,考虑储能和柔性负荷的主动协同能力,基于恢复净收益对待恢复独立电源、电源集群和变电站母线等恢复目标建立了重要度统一评估方法,揭示了恢复阶段本质为源网荷协同恢复次序优化结果的特例。然后,以电网恢复方案的期望净收益最大化为目标,建立了面向新型电力系统的源网荷统一协调恢复控制优化模型。最后,基于IEEE 118节点算例系统验证了所提方法可以在恢复过程中进行恢复目标重要度的动态评估,从而有效引导恢复容量的高效分配,最大化恢复收益。

关键词：恢复控制新型电力系统恢复目标重要度评估电源集群

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多馈入直流换相失败与同步电网交互影响机理研究评述

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高电压技术 2024年第7期50卷 2747-2759页

作者：薛峰彭慧敏王玉薛禹胜刘庆龙国电南瑞科技股份有限公司南京211106 南瑞集团有限公司(国网电力科学研究院) 南京211106

换相失败场景下交直流交互影响机理是多馈入直流系统安全稳定控制决策前提。从直流换相失败分类及机理、换相失败影响因素、换相失败评价指标及风险评估4个方面梳理了换相失败与同步电网交互影响机理研究现状,并从直-交、交-直两个角度... 详细信息

换相失败场景下交直流交互影响机理是多馈入直流系统安全稳定控制决策前提。从直流换相失败分类及机理、换相失败影响因素、换相失败评价指标及风险评估4个方面梳理了换相失败与同步电网交互影响机理研究现状,并从直-交、交-直两个角度分析了交直流电网的交互影响,最后介绍了基于受扰轨迹知识提取的交直流系统量化分析方法及应用现状,实例分析单直流换相安全评估方法推广至多直流连续换相失败的可行性,指出基于关断角受扰轨迹提取的量化分析方法能实现多馈入直流换相安全量化评估和换相安全性与系统稳定性的交互影响分析,后续应该理论分析多馈入直流换相失败场景下电压和频率跌落可接受性量化评估的适应性,在多维量化指标空间内,深入探讨同步电网多时间尺度复杂动态响应对多馈入直流换相安全的影响规律,揭示多馈入直流换相失败与同步电网动态响应相互作用机理。

关键词：多馈入直流影响因素评价指标交互影响机理轨迹动力学直流换相安全裕度

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Review on Optimization of Nuclear Power Development:A Cyber-Physical-Social System in Energy Perspective

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Journal of Modern Power Systems and Clean Energy 2022年第3期10卷 547-561页

作者： Xinxin Yang Bin Cai yusheng xue School of Electrical Engineering Southeast UniversityNanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina

Nuclear power development is a complex issue spanning cyber,physical,and social systems that is essential to achieving energy security and climate *** the ongoing worldwide trend towards carbon neutrality,the positioning of nuclear power in energy mix should be *** paper aims to present a systematic review of current research on optimization of nuclear power *** concept of cyber-physical-social system in energy(CPSSE)is adopted,which provides a suitable perspective and enables the review of relevant studies to achieve some novel *** on the CPSSE,firstly,a research framework is established and the main research elements in optimization are identified,followed by a proposed conceptual risk-based optimization ***,current studies are analyzed and classified into four categories according to the research *** status quo and limitations are *** is found that the research results of nuclear-specific issues have not been well integrated into the optimization of nuclear *** a relatively reliable power supply,nuclear power is capable of maintaining power and electricity adequacy of the whole system,especially in the case of power shortage caused by long-period low output of renewable energy or extreme external *** superiority should not be ignored in the *** critical factors that should be further considered include disruptive technologies,nuclear safety,energy policies,and stakeholder ***,suggestions are given for future research.

关键词： Carbon emission carbon neutrality cyber-physical-social system in energy(CPSSE) comprehensive evaluation dynamic interactive hybrid simulation energy transition multi-objective optimization

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Optimal Energy Reserve Scheduling in Integrated Electricity and Gas Systems Considering Reliability Requirements

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Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1494-1506页

作者： Hengyu Hui Minglei Bao Yi Ding Yang Yang yusheng xue the College of Electrical Engineering Zhejiang UniversityHangzhouChina the Department of Industrial Systems Engineering and Management National University of SingaporeSingapore State Grid Electric Power Research Institute NanjingChina

With the growing interdependence between the electricity system and the natural gas system,the operation uncertainties in either subsystem,such as wind fluctuations or component failures,could have a magnified impact on the reliability of the whole system due to energy interactions.A joint reserve scheduling model considering the cross-sectorial impacts of operation uncertainties is essential but still insufficient to guarantee the reliable operation of the integrated electricity and natural gas system(IEGS).Therefore,this paper proposes a day-ahead security-constrained unit commitment(SCUC)model for the IEGS to schedule the operation and reserve simultaneously considering reliability ***,the multi-state models for generating units and gas wells are *** on the multi-state models,the expected unserved energy cost(EUEC)and the expected wind curtailment cost(EWC)criteria are proposed based on probabilistic methods considering wind fluctuation and random failures of components in ***,the EUEC and EWC criteria are incorporated into the day-ahead SCUC model,which is nonconvex and mathematically reformulated into a solvable mixed-integer second-order cone programming(MISOCP)*** proposed model is validated using an IEEE 30-bus system and Belgium 20-node natural gas *** results demonstrate that the proposed model can effectively schedule the energy reserve to guarantee the reliable operation of the IEGS considering the multiple uncertainties in different subsystems and the cross-sectorial failure propagation.

关键词： Integrated electricity and natural gas system(IEGS) natural gas reserve electric reserve expected unserved energy cost expected wind curtailment multi-state model operational reliability

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Decision Support System for Adaptive Restoration Control of Distribution System

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Journal of Modern Power Systems and Clean Energy 2022年第5期10卷 1256-1273页

作者： Lili Hao yusheng xue Ze Li Haohao Wang Qun Xu School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjing 211816China State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Key Laboratory of Smart Grid Protection and Operation Control NanjingChina State Grid Qingdao Power Supply Company QingdaoChina

Aiming at the high-dimensional uncertainties of restoration process, an optimization model for distribution system restoration control is proposed considering expected restoration benefits, expected restoration costs, and security risks of the overall restoration scheme. In the proposed model, the effect of security control on restoration process is actively analyzed considering the security control costs of preventive, emergency, and correction controls. A two-layer decision support framework for distribution system restoration decision support system(DRDSS) is also designed. The upper layer of the proposed framework generates the pre-adjustment schemes of operation mode for energized power grid by load transfer and selects the optimal pre-adjustment scheme and the corresponding partitioning scheme based on the partition adjustment results of each pre-adjustment scheme. In addition, it optimizes the spatial-temporal decision-making of the inter-partition connectivity. For each partition, the lower layer of the proposed framework pre-selects the units and loads to be restored according to the pre-evaluated restoration income, generates the table of alternative restoration scheme for coping with uncertain events through simulation and deduction, and evaluates the risk and benefit of each *** the uncertain events in the actual restoration process, the current restoration scheme can be adaptively switched to a sub-optimal scheme or re-optimized if necessary. Meanwhile, the proposed framework provides an information interaction interface for collaborative restoration with the related transmission system. A 123-node test system is built to evaluate the effectiveness and adaptability of the proposed model and framework.

关键词： Distribution system restoration pre-adjustment of operation mode load transfer dynamic partitioning risk and benefit security control

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A Distributed Transactive Energy Mechanism for Integrating PV and Storage Prosumers in Market Operation

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Engineering 2022年第5期8卷 171-182页

作者： Peng Hou Guangya Yang Junjie Hu Philip J.Douglass yusheng xue Technical University of Denmark Kongens Lyngby 2800Denmark School of Electrical and Electronic Engineering North China Electric Power UniversityBeijing 102206China Danish Energy Frederiksberg 1900Denmark State Grid Electric Power Research Institute Nanjing 211106China

The decreasing cost of solar photovoltaics(PVs)and battery storage systems is driving their adoption in the residential distribution system,where more consumers are becoming *** this trend is the potential roll-out of home energy management systems(HEMSs),which provide a means for prosumers to respond to externalities such as energy price,weather,and energy ***,the economic operation of prosumers can affect grid security,especially when energy prices are extremely low or ***,it is paramount to design a framework that can accommodate the interests of the key stakeholders in distribution systems—namely,the network operator,prosumer,and *** this paper,a novel transactive energy(TE)-based operational framework is *** this frame-work,aggregators interact with the distribution grid operator through a negotiation process to ensure network security,while at the lower level,prosumers submit their schedule to the aggregator through the *** network security is at risk,aggregators will send an additional price component representing the cost of security(CoS)to the prosumer to stimulate further *** simulation results show that the proposed framework can effectively ensure the economic operation of aggregators and prosumers in distribution systems while maintaining grid security.

关键词： Demand management Prosumer Transactive energy Aggregator Grid security

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A comprehensive review on deep learning approaches in wind forecasting applications

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CAAI Transactions on Intelligence Technology 2022年第2期7卷 129-143页

作者： Zhou Wu Gan Luo Zhile Yang Yuanjun Guo Kang Li yusheng xue College of Automation Chongqing UniversityChongqingChina Shenzhen Institute of Advanced Technology Chinese Academy of SciencesShenzhenGuangdongChina School of Electronic and Electrical Engineering University of LeedsLeedsUK State Grid Electric Power Research Institute NanjingJiangsuChina

The effective use of wind energy is an essential part of the sustainable development of human society,in particular,at the recent unprecedented pressure in shaping a low carbon energy *** wind resource and power forecasting play a key role in improving the wind ***,it has not been well adopted in the real-world applications due to the strong stochastic characteristics of wind *** recent years,the application boost of deep learning methods provides new effective tools in wind *** paper provides a comprehensive overview of the forecasting models based on deep learning in the field of wind *** approaches include timeseries-based recurrent neural networks,restricted Boltzmann machines,convolutional neural networks as well as auto-encoder-based *** addition,future development directions of deep-learning-based wind energy forecasting have also been discussed.

关键词： deep learning deep neural networks learning(artificial intelligence)

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Intelligent Assessment of Active and ReactivePower Flow with Satisfying Accuracy forN-k_(1)-k_(2) Cascading Outages

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Journal of Modern Power Systems and Clean Energy 2021年第5期9卷 986-999页

作者： yusheng xue Yun Liu NARI Group Corporation(State Grid Electric Power Research Institute) NanjingChina School of Electrical Engineering Shandong UniversityJinanChina

Addressed to the N-k_(1)-k_(2) cascading outages,it is computationally burdensome for the reliable calculation of active and reactive power *** paper builds a comprehensive framework with three algorithms,including the distribution factor(DF),the Newton-Raphson(NR),and the first iteration of NR algorithm(termed as 1J).Classifiers are designed to determine whether the NR algorithm should be employed for *** features are extracted upon the analytical error of *** reactive power is partially considered in the 1J but neglected in the DF algorithm,the deviation between the solutions is taken as one crucial *** support vector machine(SVM)is then utilized for classifier *** the deep integration of the causal inference and the statistical paradigm,this framework calculates active and reactive power flows rapidly,reliably,and *** effectiveness and robustness are fully validated in three typical IEEE systems.

关键词： Active power flow algorithm coordination causal algorithm integration of research paradigms N-k_(1)-k_(2)cascading outage reactive power flow

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Quantitative Assessment for Commutation Security Based on Extinction Angle Trajectory

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Journal of Modern Power Systems and Clean Energy 2021年第2期9卷 328-337页

作者： Qi Tao yusheng xue the School of Electrical Engineering Zhejiang UniversityHangzhou 310000China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China

In order to reduce the risk of commutation failure(CF)in the AC/DC hybrid power system,the quantitative analysis on CF is required for on-line assessment and optimal *** paper presents an accurate and reliable method to quantify the commutation security based on the trajectory due to the complexity of the high-voltage direct current(HVDC)***,the characteristics of the extinction angle trajectory are analyzed under both commutation success and failure *** commutation security margin index(CSMI)is then proposed for the HVDC ***,a search strategy for parameter limits is put forward based on the sensitivity analysis of CSMI to accelerate the search speed with a guaranteed accuracy level.A modified IEEE 39-bus power system and an actual large-scale power system with 46 generators and 821 buses are utilized to verify the validity and robustness of the proposed index and strategy.

关键词： AC/DC hybrid power system commutation failure(CF) commutation security margin high-voltage direct current(HVDC) security limit

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