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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Ting Li Wei Zhang Ning Chen Minhui Qian Ying Xu School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China EPRI Nanjing China Department of Electrical Engineering & Computer Science University of Central Florida Orlando USA

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

With the emerging technology for distributed generation and urge of improving quality of service of power supply for energy users, more and more Microgrids (MGs) are integrated into the distributed networks to serve the energy users. These Microgrids are gradually formulating a Multi-Microgrid system (MMGS, Multi-Microgrid system), which will play an important role for the future energy supply. Building a centralized control center not only increases the expense of investment, but also brings the issues of maintaining fairness among energy users. To address these problems, this paper proposes a peer-to-peer method for energy trading of MMGS, based on the idea of decentralized trading. An auction-based trading mechanism suitable for peer-to-peer energy trading is proposed first. For this mechanism, the MGs firstly declare their energy buying bids or selling quotations. Then, the market-clearing price is determined by using a unified weight clearing algorithm in a decentralized manner. By applying the edge technology of Blockchain, the implementation of the proposed peer-to-peer energy trading method, including the architecture, procedures, security check, etc., is also discussed. The proposed Blockchain-based energy trading platform can realize the decentralized and autonomous energy trading of MGs within an MMGS. A case study with an MMGS with 10 MG units is provided to demonstrate the effectiveness of the proposed approach.

关键词： Peer-to-peer computing Microgrids Blockchain Distributed power generation Electronic commerce power distribution economics Pricing

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Mechanism underlying constant amplitude oscillation of grid-tied voltage source converters

Mechanism underlying constant amplitude oscillation of grid-...

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8th Renewable power Generation Conference (RPG 2019)

作者： Jianhang Zhu Shicong Ma Xuan Gong Jiabing Hu School of Electrical and Electronic Engineering and State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Wuhan 430074 China Power System Department China Electric Power Research Institute Beijing 100192 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

Small-signal stability is one of the main issues for the safe operation of power system. The traditional studies mainly focus on stability determination of power system, but the issue after system oscillation divergence is seldom involved, which may cause system collapse and trigger protective actions, or oscillate at a constant amplitude with a certain frequency. In this paper, the mechanism of small-signal instability diverging to constant amplitude oscillation (CAO) is studied for grid connected converters, which only considers the nonlinear factors introduced by phase-locked loop (PLL) controller. Based on the nonlinear analysis method of Lyapunov exponent, the CAO is caused by the nonlinear limit cycles, which is investigated for the first time, and the period of nonlinear limit cycle dose not correspond to the unstable modal frequency of small-signal analysis. When the system oscillates stably with constant amplitude, the system model cannot be described by linear-time invariable (LTI) model in constant speed reference frame of base frequency, then the linear-time periodic (LTP) theory is introduced into this case. Based on the Floquet theory, the eigenvalue locus of LTP model in time-domain illustrates the process of unstable system at constant steady-state operating point diverging to a stable system at steady-state trajectory. Finally, the validity of the analysis is verified by simulation.

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Decentralized automatic load management of EV charging network 11

Decentralized automatic load management of EV charging netwo...

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11th IET International Conference on Advances in power system control, operation and Management, APSCOM 2018

作者： Zhang, Jiawei Xia, Shiwei Chan, Ka Wing Department of Electrical Engineering Hong Kong Polytechnic University Hong Kong Hong Kong State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University China

ISBN: (纸本)9781839530043

This paper presents a decentralized automatic load management scheme for managing an EV charging network using the consensus algorithm and a new capacity sharing protocol. The proposed consensus and capacity sharing protocols are capable of handling various charging situations with plug-and-play characteristics. They are distributed and scalable as global information is acquired only by collecting the local knowledge. By considering the charging stations as a multi-agent system (MAS), the proposed protocols also allow for event-triggered switching topology at any time such that on-demand charging requests can be met dynamically. Simulations under different charging scenarios and different protocols are fully evaluated, and demonstrated that the proposed scheme can effectively and efficiently handle large-scale EVs charging with plug-and-play characteristics. © 2018 Institution of engineering and Technology. All rights reserved.

关键词： Multi agent systems

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A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

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Applied Energy 2019年 235卷 939-953页

作者： Zheng Qian Yan Pei Hamidreza Zareipour Niya Chen School of Instrumentation Science and Opto-electronics Engineering Beihang University Beijing China Key Laboratory of Precision Opto-Mechatronics Technology Ministry of Education Beihang University Beijing China State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 China Department of Electrical and Computer Engineering University of Calgary Calgary Alberta Canada ABB Corporate Research Center Beijing China

With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various methods are presented in the literature to improve wind power forecasting accuracy. Among them, combining different techniques to construct hybrid models has been frequently reported in the literature. Decomposition-based models are a family of hybrid models that firstly decompose the wind speed/power time series into relatively more stationary subseries, and then build forecasting models for each subseries. In this paper, we present a comprehensive review of decomposition-based wind forecasting methods in order to explore their effectiveness. Decomposition-based hybrid forecasting models are classified into different groups based on the decomposition methods, such as, wavelet, empirical mode decomposition, seasonal adjust methods, variational mode decomposition, intrinsic time-scale decomposition, and bernaola galvan algorithm. We discuss decomposition methods in the context of alternative forecasting algorithms, and explore the challenges of each method. Comparative analysis of various decomposition-based models is also provided. We also explore current research activities and challenges, and identify potential directions for future research on this subject.

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Study on deep-peak regulation of coal-gas-hydro power system in Portugal when considering high wind penetration

Study on deep-peak regulation of coal-gas-hydro power system...

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8th Renewable power Generation Conference (RPG 2019)

作者： Zhao Liang Yu Ruoying Chen Peijin Han Bin State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems China Electric Power Research Institute Beijing 100192 China School of Electrical Engineering Southeast University Nanjing 210096 Jiangsu Province China China Electric Power Research Institute Beijing 100192 China

ISBN: (数字)9781839531248

ISBN: (纸本)9781839531255

In the field of renewable energy generation, Portugal is in the leading position in the world. The electricity production of wind farms accounting for one third of the total electricity demand in Portugal. At the same time, the high penetration of wind power in the country's power system brings more uncertainty to net demand, which can bring grave challenges to peak load regulation. Considering the high penetration rate of wind power in Portugal power gird, a model on configuration of peak load regulation resources and a strategy of peak load regulation are established. The model aims to minimize the prime cost of peak load regulation. It is based on the mathematical model of each kind of resource. It also reckons the difference of hydro plants' peak shaving ability in different seasons. Finally, it proves its rationality and practicability through applications on specific examples of Portugal power system. The results show that the study on this model has great importance to peak load regulation in a power system with high penetration rate of new energy resources.

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A Branch Current Reallocation Based Energy Balancing Strategy for the Modular Multilevel Matrix Converter Operating Around Equal Frequency

A Branch Current Reallocation Based Energy Balancing Strateg...

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作者： Fan, Boran Wang, Kui Wheeler, Pat Gu, Chunyang Li, Yongdong State Key Laboratory of Power System Department of Electrical Engineering Tsinghua University Beijing100084 China Department of Electrical and Electronic Engineering University of Nottingham NottinghamNG7 2RD United Kingdom

The modular multilevel matrix converter (M3C) is a promising topology for medium-voltage, high-power applications. Due to the modular structure, it is scalable and capable to produce high quality output waveforms and can be fault tolerant. However, the M3C suffers from low frequency capacitor voltage fluctuation if the output frequency is close to the input voltage frequency, which limits its application in adjustable speed drive fields. This paper presents a theoretical analysis in the phasor domain to find the branch-energy equilibrium point of the M3C when operating with equal input and output frequency first. Then, a branch energy balancing control method based on branch current reallocation is proposed to equalize the energy stored in the nine converter branches. With the proposed method, the M3C can effectively suppress the capacitor voltage fluctuation without injecting common-mode voltage or applying reactive power to the input side. Experimental results are presented to validate the proposed method. © 2017 IEEE.

关键词： Matrix converters

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Consensus Based Distributed Solution of Economic Dispatch Problem for a Micro-Grid 2

Consensus Based Distributed Solution of Economic Dispatch Pr...

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2nd IEEE Conference on Energy Internet and Energy system Integration, EI2 2018

作者： Awais, Muhammad Liu, Nian Abbas, Muhammad Jamshed Shah, Faisal Mehmood Sheh Zad, Haris Waqar, Alia State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing102206 China North China Electric Power University School of Electrical and Electronics Engineering Beijing102206 China Department of Electrical Engineering Riphah International University Islamabad Pakistan

ISBN: (纸本)9781538685495

In this paper economic dispatch problem (EDP) of a micro-grid structure is studied using distributed consensus algorithm based on graph theory. In a power system economic dispatch ensures the optimal power utilization by finding an identical value of incremental cost for each bus. So, the incremental cost is adopted as a consensus term while using local information of mismatch between active power generation and total load demand as feedback in order to solve EDP in this paper. The proposed scheme is fully distributed and requires no leader or central control for achieving consensus. Various cases are used to study the effectiveness of proposed scheme. Simulation results conclude that incremental cost converges to its optimal value whether load demand is varying or generators plug-and-play. © 2018 IEEE.

关键词： Graph theory

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Regional wind power forecasting model with NWP grid dataoptimized

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Frontiers in Energy 2017年第2期11卷 175-183页

作者： Zhao WANG Weisheng WANG Bo WANG State Key Laboratory of Operation and Control of Renewable Energy &Storage Systems China Electric Power Research Institute Beijing100192 China Department of Electrical Engineering TsinghuaUniversity Beijing 100084 China State Key Laboratory of Operation and Control of Renewable Energy &Storage Systems China Electric Power Research Institute Beijing100192 China

Unlike the traditional fossil energy, wind, as the clean renewable energy, can reduce the emission of the greenhouse gas. To take full advantage of the environmental benefits of wind energy, wind power forecasting has to be studied to overcome the troubles brought by the variable nature of wind. power forecasting for regional wind farm groups is the problem that many power system operators care about. The high-dimensional feature sets with redundant information are frequently encountered when dealing with this problem. In this paper, two kinds of feature set construction methods are proposed which can achieve the proper feature set either by selecting the subsets or by transforming the original variables with specific combinations. The former method selects the subset according to the criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principal component analysis (PCA). A locally weighted learning method is also proposed to utilize the processed feature set to produce the power forecast results. The proposed model is simple and easy to use with parameters optimized automatically. Finally, a case study of 28 wind farms in East China is provided to verify the effectiveness of the proposed method.

关键词： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component analysis (PCA) locally weighted learning model

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A Semi-smooth Projected Levenberg-Marquardt power Flow Method to Cope With the Constraints Exchange Issue

A Semi-smooth Projected Levenberg-Marquardt Power Flow Metho...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Yuntao Ju Jiankai Wang Zifeng Zhang Jianhua Chen Mingyu Dong Dezhi Li Kun Shi Haibo Zhang College of Information and Electrical Engineering China Agricultural University Beijing China Power control center State Grid Jibei Electric Power Company Beijing China Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique Beijing China China Electric Power Research Institute Beijing China The State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing China

ISBN: (数字)9781728131375

ISBN: (纸本)9781728131382

In the conventional power flow (PF) calculation, when using the PV-PQ bus switching to deal with the problem of the generator buses reactive power limits violation for power systems, this method may cause the power flow calculation to fail. If using the Fischer-Burmeister (FB) function to handle constraint exchange issues, then using the Newton-Raphson (NR) method to solve PF, this operation will lead to a slow convergence. In this paper, a semi-smooth projected Levenberg-Marquardt (PLM) power flow method based on the FB function to deal with the constraints exchange issues is proposed. This method can change the search direction when the constraint exchange positions are at sharp corners, and adjust the size of the trust region to prevent the power flow from divergence due to excessive step size in the iterative process, thus improving convergence and reliability. Furthermore, the traditional power flow calculation method is sensitive to the initial value, which may cause the PF divergence, however the method of PLM proposed in this paper is globally convergent, which is not sensitive to the initial value. Numerical tests implemented on a small 3-bus network and a modified IEEE 118-bus system show that the proposed method is more efficient and robust than existing methods.

关键词： Load flow Convergence Reactive power Mathematical model Optimization Generators

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Electromechanical transient and electromagnetic transient hybrid modeling and simulation of MMC-UPFC project 13

Electromechanical transient and electromagnetic transient hy...

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13th IEEE Conference on Industrial Electronics and Applications, ICIEA 2018

作者： Xiaohui, Ye Yunlong, Fan Haifeng, Li Hang, Meng Xinli, Song Wenzhuo, Liu Yan, Zou Power System Department China Electric Power Research Institute Haidian District Beijing100192 China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source North China Electric Power University Baoding071003 China Electric Power Dispatch and Control Center State Grid Jiangsu Electric Power Company Nanjing210024 China

ISBN: (纸本)9781538637579

The construction of Jiangsu UPFC project has put forward higher requirements for the simulation and modeling of large-scale power electronics equipment. In order to deeply analyze the dynamic response of unified power flow controller based on modular multilevel converter(MMC-UPFC). The study of this paper is based on the MMC-UPFC operation principle and control strategy. We established the electromagnetic transient model framework and conducted a research of IEEE 39 case and South Jiangsu 500kV UPFC project in electromagnetic transient and electromechanical transient hybrid simulation program. Besides, a basic model framework of UPFC is also development in independent designed large-scale power system analysis software package called PSD-PSModel hybrid simulation platform and the MMC-UPFC hybrid simulation capabilities is realized. At the same time, the basic functions of the model are verified by simulation results. The achievement can provide strong technical support for further MMC-UPFC project and educational theory. © 2018 IEEE.

关键词： Simulation platform

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