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Communication Resources Allocation for Time Delay Reduction of Frequency Regulation Service in High Renewable Penetrated Power System

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CSEE Journal of Power and Energy Systems 2024年第2期10卷 468-480页

作者： Hongjie He Ning Zhang Chongqing KANG Song Ci Fei Teng Goran Strbac State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Electrical and Electronic Engineering Imperial College LondonSW72BULondonU.K

The high renewable penetrated power system has severe frequency regulation problems.Distributed resources can provide frequency regulation services but are limited by com-munication time delay.This paper proposes a communication resources allocation model to reduce communication time delay in frequency regulation service.Communication device resources and wireless spectrum resources are allocated to distributed resources when they participate in frequency regulation.We reveal impact of communication resources allocation on time delay reduction and frequency regulation performance.Besides,we study communication resources allocation solution in high renewable energy penetrated power systems.We provide a case study based on the HRP-38 system.Results show communication time delay decreases distributed resources'ability to provide frequency regulation service.On the other hand,allocating more communication resources to distributed resources'communica-tion services improves their frequency regulation performance.For power systems with renewable energy penetration above 70%,required communications resources are about five times as many as 30%renewable energy penetrated power systems to keep frequency performance the same.Index Terms-Communication resources allocation,commun-ication time delay,distributed resource,frequency regulation,high renewable energy penetrated power system.

关键词： Communication resources allocation communication time delay distributed resource frequency regulation high renewable energy penetrated power system

Guest Editorial: Special Section on Battery Energy Storage Systems for Net-zero Power Systems and Markets

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JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY 2024年第2期12卷 321-322页

作者： Mancarella, Pierluigi Hatziargyriou, Nikos kang, chongqing Univ Melbourne Melbourne Australia Univ Manchester Manchester England Natl Tech Univ Athens NTUA Athens Greece Tsinghua Univ Beijing Peoples R China

Battery energy storage technologies have witnessed both dramatic cost reduction and technical evolution in recent years. This is leading to widespread deployment of battery energy storage systems (BESSs) worldwide, particularly to support operation of power grids with already deep penetration of renewables. Considering the development of new battery technologies with different power-to-energy ratios and for various engineering applications, BESSs could play a strategic role towards a net-zero energy future. New opportunities are emerging for BESSs to participate in several markets, provide different grid services, and perform "value stacking", eventually allowing development of new business cases and improved BESS economics. BESS configurations that are "behind the meter", "in front of the meter", hybrid plants co-located with renewables, and so forth, are only some of the exciting propositions that are being seen in different countries and at different scales, from highly distributed (virtual power plants), to neighbourhood-level (community batteries), to utility scale.

关键词： Meters Costs Battery energy storage system Special issues and sections Net zero Stacking Virtual power plants

Texas Electric Power Crisis of 2021 Warns of a New Blackout Mechanism

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CSEE Journal of Power and Energy Systems 2022年第1期8卷 1-9页

作者： Guanglun Zhang Haiwang Zhong Zhenfei Tan Tong Cheng Qing Xia Chongqing KANG State Key Laboratory of Power Systems the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

The Texas electric power crisis that occurred in February 2021 has drawn great attention internationally due to its severity and for not having been foreseen.In this rapid communication,we classify the 2021 Texas electric power crisis as an energy insufficiency-caused power crisis,which alerts of a new blackout mechanism.Different from capacity insufficiencycaused power crises in the past,the Texas electric power crisis of 2021 directly resulted from the long-duration extreme cold weather as well as fundamentally from the insufficiency of sustainable supply capability of energy.We begin this paper with a brief retrospect of the event and its consequences.Definitions of energy/capacity insufficiency-caused power crises are given,as well as an overview of the supply and demand during the event,based on realistic operation data.Quantitative simulations are then conducted to reveal the underlying reasons for the power crisis and reveal how to better prepare for the future.Finally,several insights and suggestions on handling the new mode of blackout in the future are proposed and discussed.

关键词： Blackout capacity insufficiency energy insufficiency power crisis Texas electric power crisis 2021

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

Low-Carbon Dispatching for Virtual Power Plant with Aggregated Distributed Energy Storage Considering Spatiotemporal Distribution of Cleanness Value

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JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY 2024年第2期12卷 346-358页

作者： Gao, Hongchao Jin, Tai Wang, Guanxiong Chen, Qixin kang, chongqing Zhu, Jingkai Tsinghua Univ Dept Elect Engn State Key Lab Power Syst Operat & Control Beijing 100084 Peoples R China Tsinghua Univ Sichuan Energy Internet Res Inst Chengdu 200016 Peoples R China Shanghai Municipal Elect Power Co Power Dispatching & Control Ctr Shanghai 200122 Peoples R China

The scale of distributed energy resources is increasing, but imperfect business models and value transmission mechanisms lead to low utilization ratio and poor responsiveness. To address this issue, the concept of cleanness value of distributed energy storage (DES) is proposed, and the spatiotemporal distribution mechanism is discussed from the perspectives of electrical energy and cleanness. Based on this, an evaluation system for the environmental benefits of DES is constructed to balance the interests between the aggregator and the power system operator. Then, an optimal low-carbon dispatching for a virtual power plant (VPP) with aggregated DES is constructed, where-in energy value and cleanness value are both considered. To achieve the goal, a green attribute labeling method is used to establish a correlation constraint between the nodal carbon potential of the distribution network (DN) and DES behavior, but as a cost, it brings multiple nonlinear relationships. Subsequently, a solution method based on the convex envelope (CE) linear re-construction method is proposed for the multivariate nonlinear programming problem, thereby improving solution efficiency and feasibility. Finally, the simulation verification based on the IEEE 33-bus DN is conducted. The simulation results show that the multidimensional value recognition of DES motivates the willingness of resource users to respond. Meanwhile, resolving the impact of DES on the nodal carbon potential can effectively alleviate overcompensation of the cleanness value.

关键词： Energy storage Green products Biological system modeling Dispatching Spatiotemporal phenomena Power systems Carbon Distributed energy storage virtual power plant (VPP) spatiotemporal distribution low-carbon dispatching STRATEGY

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

Guest Editorial:Special Issue on Low-Carbon Electricity

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Journal of Modern Power Systems and Clean Energy 2015年第1期3卷 I0001-I0002页

作者： Chongqing KANG The State Key Lab of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing 100084China

Global warming has been one of the most serious worldwide problems for a long time.A very large proportion of the carbon emissions are generated by the electric power industry from fossil fuel combustion.Therefore,the... 详细信息

关键词： promotion electricity sustainable

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）