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SSRN 2022年

作者： Cong, Yuhang Wall, Peter Osborne, Mark Li, Qi Li, Yigui Terzija, Vladimir School of Electrical and Electronic Engineering The University of Manchester ManchesterM13 9PL United Kingdom Electricity National Control Centre National Grid Berkshire RG41 5BN United Kingdom Chongqing University 174 Shazheng Road Shapingba District Chongqing400044 China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education School of Electrical Engineering Shandong University Jinan250061 China

During each summer, the super grid transformers (SGTs) inside GB transmission network are maintained according to the schedule which is determined by the asset management strategies. The outage of selected transformer often results in an increased loading on the rest of transformers in the adjacent circuits. Any type of faults occurring on circuits or other elements during this period of time is likely to cause overloads on the remaining transformers which could lead to a breach of the Security and Quality of Supply Standards (SQSS). The transformer operational tripping scheme (OTS) is a technique for protecting transformers from overloading by tripping pre-selected groups of generations so that the loading on the monitored transformers can be relieved during the contingencies. An event-based transformer OTS has been constantly armed in the GB network. This paper presents a novel technique to integrate the real time transformer temperature estimation into an existing transformer OTS. This technique improves the OTS by reducing the number of unnecessary generation tripping, which is initiated from the overly conservative transformer ratings. This novel scheme will generate enormous economic benefits as well as provide significant flexibility to the GB system operator – National Grid Electricity system Operator (NGESO). The new scheme is an example of a Wide Area Monitoring, Protection and control (WAMPAC) application. © 2022, The Authors. All rights reserved.

关键词： Temperature distribution

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Novel methodology solving distribution network reconfiguration with DG placement

Novel methodology solving distribution network reconfigurati...

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作者： Gong, Zhiyun Chen, Qing Sun, Kongming Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China

This paper proposes an effective and accurate methodology to solve the smart distribution network reconfiguration problem considering distributed generation (DG) placement, whose objective is to minimise power loss and enhance voltage stability. An intelligent optimisation algorithm using the electromagnetism-like mechanism (ELM) is used to effectively find the best configuration of the network and placement of the DG units simultaneously. ELM is a novel global optimisation algorithm referring to the electromagnetic interaction among the electric charge to search a best location of an individual. To secure the radial nature of the network and avoid creating non-feasible solutions, a novel encoding and decoding method is designed based on an exchanging tie switch sequentially, thereby accelerating the calculation speed. The rationality of codification is theoretically certified thereafter. To assess the performance of the proposed method, simulations are carried out on the IEEE 33- and 69-bus distribution network. The simulation results demonstrate the validity and effectiveness of the proposed method. © 2019 Institution of Engineering and *** right reserved.

关键词： Global optimization

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Static voltage stability domain and power margin for multi-infeed DC system during recovery process 3

Static voltage stability domain and power margin for multi-i...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Yang, Shandong Wang, Hongtao Yang, Dong Ma, Huan Zhao, Kang Key Laboratory of Power System Intelligent Dispatch Control Ministry of Education Shandong University Jinan China Shandong Electric Power Research Institute State Grid Jinan China

ISBN: (纸本)9781728114934

During the recovery of multi-infeed DC system after blackout, utilizing DC transmission to support the load recovery of receiving AC system can largely speed up the recovery process, but it will increase the challenges of voltage collapse at the same time because of the impactful reactive power consumption of DC. In order to avoid voltage collapse and give the power margin for recovery, this paper proposed the static voltage stability domain method to study the static voltage stability of DC participating in recovery. First, the impact of DC power is taken into account by adding DC power as variable parameters to the continuous power flow algorithm. Second, voltage collapse points are calculated using the improved continuous power flow algorithm to shape the static voltage stability domain. Then, the AC/DC power margin is defined as the shortest distance between operating point of system and the boundary of static voltage stability domain. Finally, the AC/DC power margin is calculated by using the normal of the boundary of static voltage stability domain to amend the power growth direction. The proposed AC/DC power margin can not only evaluate the voltage stability margin of multi-infeed DC system, but also guide the power recovery control. The effectiveness of this proposed method is validated in the test system. © 2019 IEEE.

关键词： Recovery

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Fast Estimation of Total Transfer Capability Considering both Load and Source Uncertainties

Fast Estimation of Total Transfer Capability Considering bot...

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2019 IEEE Sustainable power and Energy Conference, iSPEC 2019

作者： Liu, Wenfeng Liu, Yutian Zhang, Liudong Wu, Haiwei Zhang, Qibing Yang, Ming Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Jiangsu Electric Power Company Jiangsu Electric Power Dispatching and Control Center Nanjing China

ISBN: (纸本)9781728149301

With the development of smart grid and new energy technologies, both load and source uncertainties need be considered in the calculation of total transfer capability (TTC) of power system transmission. Based on deep learning technology and the improved multi-point estimation method, a fast TTC estimation method considering uncertainties of load power, demand response and wind power generation is proposed. The uncertainties are represented by probability distribution of prediction error and Nataf transformation is introduced to deal with the non-normal probability distributions and their correlations. The stacked denoising autoencoder is employed to estimate TTCs of operating scenarios generated by Nataf transform and the improved multi-point estimation method is used to obtain their probability. Simulation results demonstrate that the fast estimation method is able to consider both load and source uncertainties effectively and calculate TTC fast and accurately. © 2019 IEEE.

关键词： Probability distributions

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Economic power Consumption of Large Industrial Customers under power Market Environment

Economic Power Consumption of Large Industrial Customers und...

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IEEE Student Conference on Electric Machines and systems

作者： Wei Hou Mingqiang Wang Xin Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China State Grid Shandong Electric Power Construction Company Jinan China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

With the development of China's power market, more and more large industrial customers are participating in electricity market transactions, and they gradually began to pay attention to economic power consumption issues. Based on real data, this paper analyzes how large industrial customers make the best decisions to lower their electricity payment considering various real characteristics such as order requirement of production lines, specific production process, and continuity of power consumption, etc. The proposed model realizes the economic power consumption by adjusting the daily production schedule of large industrial customers. The feasibility and effectiveness of the proposed model are illustrated by case studies.

关键词： Economics Schedules power demand Production power markets Mathematical model Load modeling

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Reserve optimization Considering Reserve Deployment Process

Reserve optimization Considering Reserve Deployment Process

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IEEE Student Conference on Electric Machines and systems

作者： Zhixin Wang Mingqiang Wang Zhen Fang Jianying Li Jianjie Li Key Laboratoty of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China State Grid Binzhou Supple Company Binzhou China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

In this paper, we propose a reserve optimization model considering the reserve deployment process. The reserve is determined by an endogenous cost/benefit analysis between the scheduling cost and expected interruption cost which is computed by multiplying value of lost load (VOLL) with expected energy not supplied (EENS). The reserve availability of a unit, which depends on its actual ramp rate schedule is considered when computing the EENS. Moreover, an approximate method is proposed to reduce the computation burden and ensure the system security. The efficiency and validity of the proposed method are verified using the IEEE-RTS system.

关键词： Schedules Processor scheduling Computational modeling Security Reliability Optimization Load modeling

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A Method of Fault Diagnosis for Secondary Loop in intelligent Substation Based on Bayesian Algorithm

A Method of Fault Diagnosis for Secondary Loop in Intelligen...

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IEEE Student Conference on Electric Machines and systems

作者： Peng Zong Zhanjun Gao Tao Yang Fengyuan Zhou Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Shandong electric power dispatching control center State Grid Shandong Electric Power Company Jinan China

ISBN: (数字)9781728156224

ISBN: (纸本)9781728156231

In order to improve the accuracy and maintenance efficiency of fault diagnosis for secondary loop in intelligent substation, this paper proposes a fault diagnosis method based on improved Bayesian algorithm. Firstly, the physical loop and virtual loop models of the secondary loop are established according to the SCD file, and their mapping relationship is established. Secondly, the set of suspicious fault components in the secondary loop is obtained according to the abnormal degree table of physical components. Then, the improved Bayesian algorithm is used to evaluate the components in the set of suspicious fault components. Finally, the output of the Bayesian algorithm is the Bayesian anomaly degree of the suspicious fault components. The component with the highest Bayesian anomaly degree is considered as the fault component. In order to detect the effectiveness and the feasibility of the proposed method, this paper conducts a fault diagnosis case and the diagnosis results demonstrate that the proposed diagnosis method can obtain good discriminant result.

关键词： Fault diagnosis Substations Protective relaying Maintenance engineering Bayes methods Circuit faults Personnel

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Node importance evaluation in power system restoration considering the impact of DC converter station 3

Node importance evaluation in power system restoration consi...

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3rd IEEE International Conference on Energy Internet, ICEI 2019

作者： Hu, Haizhou Wang, Hongtao Yang, Dong Ma, Huan Zhao, Kang Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Shandong Electric Power Research Institute State Grid Jinan China

ISBN: (纸本)9781728114934

In view of the AC-DC interconnected background, this paper studied the evaluation method of node importance during the grid restoration. Firstly, based on the constraints of DC transmission system start, the processing method for evaluating the electrical property of the converter station was proposed. Next, combined with generator and load capacity, the electrical property index of node was put forward. Then, two indexes were raised from different aspects of power-off network. Finally, with the help of CRITIC weighting method, the three indexes mentioned above were well integrated to identify key nodes. The example showed that this method could not only express the network topology information of the node commendably but also reflect electrical property effectively in current state. © 2019 IEEE.

关键词： Restoration

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A non-unit boundary protection of DC line for MMC-MTDC grids

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2020年 116卷 105538-000页

作者： Zhang, Shuo Zou, Guibin Wang, Chuanjie Li, Jun Xu, Bin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Shandong Peoples R China State Grid Weihai Power Supply Co Weihai 264200 Peoples R China

Due to the low-impedance characteristic, the multi-terminal high voltage direct current (MTDC) grid based on modular multilevel converter (MMC) requires protection to detect and discriminate line faults within several milliseconds, which is a serious challenge for protection. Therefore, this paper proposes a non-unit line protection scheme based on the initial line-mode voltage traveling waves (ILVTWs). Based on the analysis of the traveling wave (TW) propagation characteristics, the transfer functions of ILVTWs under typical internal and external faults are derived. By comparing the differences of the transfer functions in frequency domain, the corresponding protection principles are developed. Besides, a method to determine the protection threshold is elaborated, which is independent of simulation. Extensive simulations show that the proposed protection scheme can accurately operate with high sensitivity and reliability.

关键词： Multi-terminal high voltage direct current (MTDC) grid Modular multilevel converter (MMC) Non-unit boundary line protection Initial line-mode voltage traveling wave (ILVTW) Wavelet transform

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Start-up Sequence Optimization of Units and HVDC for Hybrid Multi-Infeed DC Receiving systems

Start-up Sequence Optimization of Units and HVDC for Hybrid ...

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2019 IEEE PES Asia-Pacific power and Energy Engineering Conference, APPEEC 2019

作者： Li, Peng Wang, Hongtao Yang, Dong Ma, Huan Zhao, Kang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China Shandong Electric Power Research Institute State Grid Jinan China

ISBN: (纸本)9781728108131

Aiming at the problem of unit restoration optimization of hybrid multi-infeed direct current (HMIDC) system, an optimization method for start-up sequence of units and HVDC in HMIDC receiving system with LCC-HVDC and VSC-HVDC participation is proposed. Firstly, the interaction between AC and DC systems in the restoration process is analyzed. Then, the multi-objective optimization model of start-up sequence considering HVDC start-up constraints and operational stability constraints is established. And an algorithm based on fast non-dominated sorting genetic algorithm (NSGA-II) for solving the above model is designed. Finally, the feasibility and effectiveness of the proposed method are verified by using IEEE 39 nodes system as an example. © 2019 IEEE.

关键词： Restoration

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