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Implications of COVID-19 for the Electricity Industry: A Comprehensive Review

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CSEE Journal of Power and Energy Systems 2020年第3期6卷 489-495页

作者： Haiwang Zhong Zhenfei Tan Yiliu He Le Xie chongqing kang Department of Electrical Engineering the State Key Lab of Control and Simulation of Power Systems and Generation EquipmentInstitute for National Governance and Global GovernanceTsinghua UniversityBeijing 100084China Department of Electrical and Computer Engineering Texas A&M UniversityCollege StationTX 77843 USA

As COVID-19 sweeps through the whole world,human activities have been changed significantly.Under such circumstances,the electricity sector is deeply affected and faced with great challenges.This paper provides a comprehensive review of the impacts that the pandemic has caused on the electricity sector.Electricity demand has dropped sharply as governments around the world executed lockdown restrictions,while the load composition and daily load profile have also changed.The share of renewable generation has increased against the decline of the total electricity generation.Changed power balance situation and increased uncertainty of demand have posed higher pressure on system operators,along with voltage violation issue and challenges for system maintenance and management.The electricity market is also substantially influenced,while longterm investment in clean energy is expected to be stable.The externality such as emission reduction is also discussed.

关键词： COVID-19 electricity industry energy market pandemic power system

Optimal operation strategy for distributed battery aggregator providing energy and ancillary services

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Journal of Modern Power Systems and Clean Energy 2018年第4期6卷 722-732页

作者： kangning LIU Qixin CHEN chongqing kang Wei SU Guobin ZHONG Department of Electrical Engineering Tsinghua University Guangdong Electric Power Research Institute

The high penetration of distributed renewable energy raises a higher concern for the safe and economic operation of the smart grid. Distributed batteries equipped in demand-side can not only contribute to the reliability and security of the grid, but also make profits by participating in the electricity market, especially when distributed batteries are combined and operated by an aggregator.Considering the well-operated mechanism of performance based regulation(PBR) in the U.S. electricity market, it becomes increasingly lucrative for batteries to participate not only in energy markets for energy arbitrage, but also in ancillary service markets to provide regulation and peakload shaving services. In this study, distributed batteries are operated and coordinated by the aggregator, which simultaneously submits offers to the energy and the ancillary service markets as an individual entity. An optimaldecision model is formulated for the aggregator to determine the operation and bidding strategy for the distributed batteries by considering the characteristics of batteries,including the terms of capacity, efficiency and degradation cost. Finally, a numerical case is conducted to evaluate the benefits of the decision model.

关键词： Distributed storage Electricity market Optimal operation Ancillary service

Load Profiling and Its Application to Demand Response: A Review

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Tsinghua Science and Technology 2015年第2期20卷 117-129页

作者： Yi Wang Qixin Chen chongqing kang Mingming Zhang Ke Wang Yun Zhao Department of Electrical Engineering Tsinghua University Electric Power Research Institute China Southern Power Grid Co.Ltd.

The smart grid has been revolutionizing electrical generation and consumption through a two-way flow of power and information. As an important information source from the demand side, Advanced Metering Infrastructure （AMI） has gained increasing popularity all over the world. By making full use of the data gathered by AMI, stakeholders of the electrical industry can have a better understanding of electrical consumption behavior. This is a significant strategy to improve operation efficiency and enhance power grid reliability. To implement this strategy, researchers have explored many data mining techniques for load profiling. This paper performs a state-of-the-art, comprehensive review of these data mining techniques from the perspectives of different technical approaches including direct clustering, indirect clustering, clustering evaluation criteria, and customer segmentation. On this basis, the prospects for implementing load profiling to demand response applications, price-based and incentivebased, are further summarized. Finally, challenges and opportunities of load profiling techniques in future power industry, especially in a demand response world, are discussed.

关键词： load profiling demand response data mining customer segmentation Advanced Metering Infrastructure （AMI）

Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty

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Journal of Modern Power Systems and Clean Energy 2019年第3期7卷 658-664页

作者： Xin FANG Bri-Mathias HODGE Fangxing LI Ershun DU chongqing kang National Renewable Energy Laboratory GoldenCO80401USA Department of Electrical Engineering and Computer Science The University of TennesseeKnoxvilleTN37996USA State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing100084China

This paper proposes an adjustable and distributionally robust chance-constrained(ADRCC) optimal power flow(OPF) model for economic dispatch considering wind power forecasting uncertainty. The proposed ADRCC-OPF model is distributionally robust because the uncertainties of the wind power forecasting are represented only by their first-and second-order moments instead of a specific distribution assumption. The proposed model is adjustable because it is formulated as a second-order cone programming(SOCP) model with an adjustable coefficient.This coefficient can control the robustness of the chance constraints, which may be set up for the Gaussian distribution, symmetrically distributional robustness, or distributionally robust cases considering wind forecasting uncertainty. The conservativeness of the ADRCC-OPF model is analyzed and compared with the actual distribution data of wind forecasting error. The system operators can choose an appropriate adjustable coefficient to tradeoff between the economics and system security.

关键词： Economic dispatch Adjustable and distributionally robust chance-constrained(ADRCC) optimization Wind power forecasting Uncertainty

Incentive mechanism for sharing distributed energy resources

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Journal of Modern Power Systems and Clean Energy 2019年第4期7卷 837-850页

作者： Jianxiao WANG Haiwang ZHONG Junjie QIN Wenyuan TANG Ram RAJAGOPAL Qing XIA chongqing kang Department of Electrical Engineering Tsinghua UniversityBeijing 100084China Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720-1776USA Department of Electrical and Computer Engineering North Carolina State UniversityRaleighNC 27695USA Department of Civil and Environmental Engineering Stanford UniversityStanfordCA 94305USA

To improve the controllability and utilization of distributed energy resources(DERs),distribution-level electricity markets based on consumers’bidding and offers have been proposed.However,the transaction costs will dramatically increase with the rapid development of DERs.Therefore,in this paper,we develop an energy sharing scheme that allows users to share DERs with neighbors,and design a novel incentive mechanism for benefit allocation without users’bidding on electricity prices.In the energy sharing scheme,an aggregator organizes a number of electricity users,and trades with the connected power grid.The aggregator is aimed at minimizing the total costs by matching the surplus energy from DERs and electrical loads.A novel index,termed as sharing contribution rate(SCR),is presented to evaluate different users’contributions to the energy sharing.Then,based on users’SCRs,an efficient benefit allocation mechanism is implemented to determine the aggregator’s payment to users that incentivize their participation in energy sharing.To avoid users’bidding,we propose a decentralized framework for the energy sharing and incentive mechanism.Case studies based on real-world datasets demonstrate that the aggregator and users can benefit from the energy sharing scheme,and the incentive mechanism allocates the benefits according to users’contributions.

关键词： Distributed energy resource(DER) Energy sharing Incentive mechanism Nash bargaining

支持新型储能发展的国际政策与中国发展模式探讨

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电网技术 2024年第2期48卷 469-479页

作者：胡江溢杨高峰宋兆欧康重庆国网重庆市电力公司重庆市渝中区400015 清华大学电机工程与应用电子技术系北京市海淀区100084

大力发展新型储能对支撑新能源消纳,提升电力系统调节能力,构建新型电力系统具有重大意义。在深入研究新型储能产业国内外发展现状以及支撑政策导向的基础上,以重庆电网为例,对我国省级电网新型储能发展3个方面的需求及现状开展分析,同... 详细信息

大力发展新型储能对支撑新能源消纳,提升电力系统调节能力,构建新型电力系统具有重大意义。在深入研究新型储能产业国内外发展现状以及支撑政策导向的基础上,以重庆电网为例,对我国省级电网新型储能发展3个方面的需求及现状开展分析,同时进一步研究并指出当前新型储能盈利模式以及推动其规模化发展所面临的3个主要问题。最后从推动系统友好型“新能源+储能”发展模式、以多元化激励模式加大储能政策支持力度、从多类型市场出发完善储能交易机制3个方面提出解决思路建议,以促进新型储能产业健康发展。

关键词：新型能源体系新型储能发展新能源市场机制

Long-term Coordination of Transmission and Storage to Integrate Wind Power

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CSEE Journal of Power and Energy Systems 2017年第1期3卷 36-43页

作者： Antonio J.Conejo Yaohua Cheng Ning Zhang chongqing kang ISE and ECE Departments at The Ohio State University ColumbusOHUSA State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

A power system with a high wind power integration requires extra transmission capacity to accommodate the intermittency inherent to wind power production.Storage can smooth out this intermittency and reduce transmission requirements.This paper proposes a stochastic optimization model to coordinate the long-term planning of both transmission and storage facilities to efficiently integrate wind power.Both longterm and short-term uncertainties are considered in this model.Long-term uncertainty is described via scenarios,while shortterm uncertainty is described via operating conditions.Garver’s 6-node system and a system representing Northwest China in 2030 are used to illustrate the proposed model.Results indicate that storage reduces transmission requirement and the overall investment,and allows the efficient integration of wind power.

关键词： Long-term planning storage transmission uncertainty wind power

Linear Three-Phase Power Flow for Unbalanced Active Distribution Networks with PV Nodes

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CSEE Journal of Power and Energy Systems 2017年第3期3卷 321-324页

作者： Yi Wang Ning Zhang Hai Li Jingwei Yang chongqing kang State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

High penetration of distributed renewable energy promotes the development of an active distribution network(ADN).The power flow calculation is the basis of ADN analysis.This paper proposes an approximate linear three-phase power flow model for an ADN with the consideration of the ZIP model of the loads and PV nodes.The proposed method is not limited to radial topology and can handle high R/X ratio branches.Case studies on the IEEE 37-node distribution network show a high accuracy and the proposed method is applicable to practical uses such as linear or convex optimal power flow of the ADN.

关键词： Active distribution network linear power flow PV nodes unbalanced distribution systems ZIP model

面向多元灵活资源聚合的区域综合能源系统主动调节能力评估与优化:关键问题与研究架构

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中国电机工程学报 2024年第6期44卷 2097-2118,I0002页

作者：司方远张宁韩英华窦真兰董启环康重庆电力系统及发电设备控制和仿真国家重点实验室(清华大学电机系) 北京市海淀区100084 东北大学秦皇岛分校河北省秦皇岛市066004 国网上海市电力公司上海市浦东新区200023

区域综合能源系统(regional integrated energy system,RIES)通过对多元灵活资源的整合与协调,在本地多能源供需平衡的基础上优化可调节能力,进而通过共享可调节量实现跨区域能量互济,有望提升能源利用效率,在深入挖掘海量用户可调节潜... 详细信息

区域综合能源系统(regional integrated energy system,RIES)通过对多元灵活资源的整合与协调,在本地多能源供需平衡的基础上优化可调节能力,进而通过共享可调节量实现跨区域能量互济,有望提升能源利用效率,在深入挖掘海量用户可调节潜力,充分发挥系统灵活性价值方面发挥着重要作用。该文首先系统分析多元灵活资源聚合下构建RIES的驱动力和瓶颈,对现有研究概况进行综述。基于当前研究路径,从RIES主动调节能力时空动态演变规律深度挖掘、复杂非线性动态RIES主动调节能力优化、多RIES集群分布式最优协调3个方面,分析RIES研究过程中的关键问题。在此基础上,从RIES“主动调节能力评估、自治协调优化、集群协同控制”3个共同影响系统经济稳定运行的重点问题提出多元灵活资源聚合下RIES的研究架构,并对关键研究内容进行分析和阐述。

关键词：区域综合能源系统灵活性主动调节能力能量共享不确定性分布式优化