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2022 IEEE power and Energy Society General Meeting, PESGM 2022

作者： Shen, Qian Li, Guanqun Ye, Hua Xie, Yongsheng Chen, Junru State Grid Jinan Power Supply Company Jinan250012 China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China State Grid Xinjiang Electric Power Co. Ltd Urumqi830002 China Xinjiang University Urumqi830046 China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

The synchronization instability is one of the main issues for the operation of grid-following converter (GFL). Analogizing to the synchronous generator mechanism, GFL synchronism can be modelled in the form of swing equation. Thus, under the assumption that the damping is negligible, the equal area criterion (EAC) method is used to determine the GFL synchronization stability. However, in practice the damping is significant and inconstant during the transients. Sometimes, the damping becomes negative during the transients even is positive in the pre-fault, and resulting in the instability. The effect of the damping on the synchronization stability has not been thoroughly investigated. This paper visually reveals this effect. The simulation results show that the negative damping of GFL may lead to an optimistic prediction of synchronization stability by EAC method. © 2022 IEEE.

关键词： Damping

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Optimal Energy Management of Microgrids Using Quantum Teaching Learning Based Algorithm

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IEEE TRANSACTIONS ON SMART GRID 2021年第6期12卷 4834-4842页

作者： Raghav, L. Phani Kumar, R. Seshu Raju, D. Koteswara Singh, Arvind R. Natl Inst Technol Silchar Elect Engn Dept Silchar 788010 India Shandong Univ Minist Educ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Jinan 250100 Peoples R China

Quantum inspired computational intelligence is gaining momentum in the interest of enhancing the performance of existing metaheuristic optimization while solving multi-dimensional nonlinear problems. The microgrid optimal energy scheduling is one such problem that involves multiple distributed energy resources (DER) with volatile characteristics and proficient energy management is essential for their coordination and reducing global carbon emissions. Relatively very few works in the existing literature have attempted to solve this problem using quantum-based algorithms. In this article, a stochastic framework associated with the Quantum Teaching Learning-based optimization (QTLBO) algorithm is devised for the first time to optimize energy flow in the microgrids. Four scenarios concerning seasonal variations are chosen to address the uncertainties related to generated power from DERs with better accuracy. The day-ahead optimum power scheduling configuration of DERs is evaluated for each scenario. The performance of QTLBO is assessed on a grid-connected microgrid network and compared with existing metaheuristic algorithms such as the Real-coded Genetic Algorithm, Differential Evolution, and TLBO. The obtained simulation results prove the superiority of QTLBO in terms of convergence and achieving a global optimum solution by overcoming premature convergence. Further, the proposed stochastic framework is helpful to attain techno-economic benefits to both customers and market operators.

关键词： Microgrids Energy management Optimization Stochastic processes Batteries Quantum computing Uncertainty Microgrid energy management system quantum teaching learning based optimization stochastic optimization

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Low-Voltage Ride-Through Remote Testing Method for Offshore Wind Turbines

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2020年第6期69卷 2905-2913页

作者： Jiang, Zimin Liu, Yutian Shandong Univ Minist Educ Key Lab Power Syst Intelligent Dispatch & Control Jinan 250061 Peoples R China

Grid-connected wind turbines (WTs) are required to have low-voltage ride-through (LVRT) capability. On-site LVRT test is a convincing certificating method. To tackle the limited accessibility and harsh conditions of on-site test for offshore WTs, this paper proposes a remote testing method, which places the testing device on shore to produce the specified fault voltages through a subsea cable to the WT. For further eliminating the effects of introduced cable on LVRT test, a stepwise voltage sag generation strategy is applied to suppress the overvoltage and maintain required voltage sags. First, the LVRT testing requirements and voltage sag specification need to be considered in a practical test are introduced. The stepwise generation strategy and its implementation procedure based on the designed testing device are presented. Second, the effects of submarine cable on the WT- side voltage are analyzed under different generation stages of voltage sags. Next, the testing device's impedance configuration method, based on the derived residual voltage expression, is given to generate the required steady-state voltage sags. Finally, simulation results indicate that with the proposed method, the effects of cable can be eliminated and the required grid faults can be emulated for remote LVRT test.

关键词： Low-voltage ride-through (LVRT) offshore wind turbine (WT) remote test voltage sag wind power

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Energy Storage Configuration Method for Distribution Network Resilience Enhancement Using Two-Stage Game Optimization

Energy Storage Configuration Method for Distribution Network...

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IEEE International Conference on power and power and Renewable Energy (ICPRE)

作者： Shuai Liu Yuwen Li Heng Zhou Kuan Cao Yutian Liu Development Planning Department State Grid Weihai Power Supply Company Weihai China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

In order to cope with the impact of extreme weather on distribution network, a two-stage multi-objective game optimization-based method of energy storage configuration for distribution network resilience enhancement is proposed in this paper. First, typical scenarios are generated based on N-k contingency as well as distributed photovoltaic (DPV) output characteristics, and evaluation indexes of resilience and economy are established. Then a two-stage multi-objective optimal configuration model is proposed, considering the operating state and resilience demand of distribution network before and after the power supply transfer. Finally, the model is solved by multi-objective particle swarm (MOPSO) and Nash game. Simulation results on the modified IEEE33-node model demonstrate that the proposed method can achieve good equilibrium solution between resilience and economy.

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Wind and PV power Ramp Events Prediction Based on Long Short-Term Memory Network

Wind and PV Power Ramp Events Prediction Based on Long Short...

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Sustainable power and Energy Conference (iSPEC)

作者： Zengwei Wang Zhendong Li Yutian Liu Huan Ma Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China. State Grid Shandong Electric Power Research Institute Jinan China.

With the increasing penetration rate of renewable generation, the challenges arising from its randomness and intermittent nature are becoming more pronounced. In particular, wind and photovoltaic power ramp events pose a serious threat to the secure and stable operation of power systems, and even lead to frequency instability and load shedding. Based on the long short-term memory neural networks (LSTM), this paper proposes a novel renewable power ramp events (RPREs) forecasting approach. First, filter the key tie-lines. Second, the LSTM network was driven by the known time series of wind, PV, load, and tie-line power to forecast the tie-line power for the next hour, thereby determining the adjustable capacity of the tie-line. Finally, the regulatory capability of the grid is considered to judge the occurrence of a power ramping event. Case study demonstrates that the proposed method can effectively predict power ramping events and meets the requirements of online assessment.

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Synchronization Stability of PLL-Based power Converters Connected to Weak AC Grid 6

Synchronization Stability of PLL-Based Power Converters Conn...

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6th Asia Conference on power and Electrical Engineering, ACPEE 2021

作者： Mei, Limin Ding, Lei Wang, Zhihao Cai, Deyu Ding, Ran Wang, Jingran Xu, Haixiang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Jibei Electric Power Company Limited Electric Power Dispatching and Control Center Beijing China

ISBN: (纸本)9781728191591

In this paper, the synchronization stability of converter system based on the phase-locked loop (PLL) is studied, especially when it is connected to a weak AC grid. First, the small signal model considered PLL, power control, current control and voltage feedforward (VFF) control is built. The open-loop transfer function can analyze the stability of the system but hides the dynamic of PLL. So the conjugated circuit is proposed, which describes the dynamics of PLL and the other part separately. Based on the Bode diagrams, we explore how the grid impedance and converter controller parameters influence the stability of the system. In order to verify the analysis results, simulations are conducted in MATlab/Simulink. © 2021 IEEE.

关键词： Phase locked loops

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Distributed load restoration for interdependent transmission-distribution-gas systems considering pipeline gas storage capacity

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INTERNATIONAL JOURNAL OF ELECTRICAL power & ENERGY systemS 2023年第1期153卷

作者： Liang, Kunjie Wang, Hongtao Lin, Zhenzhi Wen, Fushuan Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Zhejiang Univ Sch Elect Engn Hangzhou 310027 Peoples R China

Recent electricity systems have witnessed many power outage events, and the interrupted loads must be restored as soon as possible to reduce the enormous outage losses. However, the ever-increasing interdependencies of the transmission, distribution, and gas systems cause the restoration behaviors of a system to inevitably influence the others, which brings about new impacts on the load restoration decisions. Moreover, the different velocities of power and gas flows cause additional complexities in making load restoration decisions for the whole system. To address these problems, this paper proposes a new load restoration scheme coordinating transmission, distri-bution, and gas systems. Firstly, to respect the information privacy of individual energy subsystems, a distributed load restoration coordination structure is proposed with the interactions of different energy systems and cor-responding load restoration models considering pipeline gas storage capacity caused by slow gas flow dynamics. Based on the distributed restoration coordination structure and considering that discrete variables in load restoration models hinder the efficient calculation, a projection function-based adaptive alternating direction method of multipliers is then proposed with iterative relaxation and projection of discrete variables. Finally, simulation results in the T118-D33-N56 test system and a real-world system in China demonstrate that coordi-nation of transmission, distribution, and gas systems and considering pipeline gas storage capacity can shorten the load restoration time. The proposed solution method also shows good computational performance.

关键词： Transmission Distribution Gas system Load restoration Pipeline gas storage Distributed

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Energy Storage Sizing for IES Considering Carbon Trading and Demand Response

Energy Storage Sizing for IES Considering Carbon Trading and...

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IEEE International Conference on power and Energy Applications (ICPEA)

作者： Lipeng Zhang Kuan Cao Yuwen Li Jie Gao Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China Development Planning Department State Grid Weihai Power Supply Company Weihai China

An optimal energy storage sizing method for integrated energy system (IES) considering carbon trading and demand response is presented in this paper. Firstly, to effectively limit carbon emissions, a reward-penalty laddered carbon trading model is designed to convert carbon emissions into system costs or revenues. Secondly, the integrated demand response (IDR) model for electrical-cold-heat loads is established based on time-of-use price to enhance the operational flexibility and economy. Then, based on these two sub-models, an optimal energy storage sizing model is built to minimize the total life cycle cost including investment, operation and carbon trading cost. Finally, the simulation results indicate that a successful balance between low-carbon and economy can be achieved by the proposed method.

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Distributed Optimal dispatch of Regional Integrated Energy system Considering Electricity-Gas-Heating

Distributed Optimal Dispatch of Regional Integrated Energy S...

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IEEE IAS Conference on Industrial and Commercial power system Asia (IEEE I and CPS Asia)

作者： Nie, Wenzhao Wang, Jing Zhang, Yongkai Qiu, Zhipeng Dong, Encheng Chen, Jian Shandong Elect Power Co Jinan Power Supply Co Jinan Peoples R China Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781665434980

Taking account of day-ahead dispatch of electricity-gas-heating regional integrated energy system, the active power flow model of distribution network, heating network transmission equation and natural gas network model with the consideration of dynamic characteristics of natural gas are first established. Then, a day-ahead dispatch model is established aiming at minimizing the system economic cost. Considering the privacy and opacity of information between electricity-gas-heating entities, based on improved alternating direction multiplier method, a distributed optimization scheduling method is proposed. The augmented Lagrange function of the whole system is decomposed into three sub-problems of electricity, natural gas and heating for iterative solution. Finally, case study verified the effectiveness and validity of the proposed model and optimization method.

关键词： electricity-gas-heating regional integrated energy system(RIES) network model day-ahead optimal dispatch improved alternating direction multiplier method(ADMM)

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Quantitative Analysis of Frequency Dynamics in Real power system 7

Quantitative Analysis of Frequency Dynamics in Real Power Sy...

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7th Asia Conference on power and Electrical Engineering, ACPEE 2022

作者： Qin, Hao Cao, Yongji Zhang, Hengxu Gao, Zhimin Yang, Dong Ma, Huan Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China Technical University of Denmark Department of Electrical Engineering Kgs. Lyngby Denmark State Grid Shandong Electric Power Company State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (纸本)9781665418195

As the proportion of renewable energy sources increases, the randomness and volatility of the frequency increase, and its dynamic behaviors are becoming more complex. In order to clearly characterize the frequency fluctuation characteristics of the power system, the long-term statistical characteristics are analyzed based on the measured data. The bimodal normal distribution is used, and the measured frequency is decomposed into continuous and short-time-scale components using the moving average method. Based on historical data, the derivation law of the frequency fluctuation characteristics of regional power system is explored, and it is found that the frequency fluctuation characteristics of different regions continue to differentiate, and the characteristics of the sending-end power system frequency being higher than the rated frequency and relatively drastic fluctuations are becoming more and more obvious. © 2022 IEEE.

关键词： Normal distribution

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