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7th IEEE Conference on Energy Internet and Energy system Integration, EI2 2023

作者： Chen, Li Yang, Ming Wang, Zewei Li, Peng Wang, Chao Guan, Xiyang Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China New Energy Power Forecast Changji University Changji China

ISBN: (纸本)9798350345094

It's significance to establish a rational model of the randomness of new energy power for the analysis and control of new energy power system. One way to realize the probability prediction of new energy power generation is to model and quantify the probability distribution of prediction error based on the deterministic prediction results. Based on Itô process model, this paper describes the stochastic characteristics of new energy power in the form of stochastic differential equation. Firstly, the model based method is used to construct Itô process parameters under the condition of given statistical model, and the probability distribution of prediction object is obtained by superimposing the probability distribution of prediction error on the deterministic prediction results. Secondly, the method based on historical data is used to estimate the Itô process parameters with the maximum likelihood value given the historical data. Finally, a numerical example proves that Itô process is practical in describing the randomness of new energy sources. © 2023 IEEE.

关键词： Forecasting

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Distributed power Restoration Method Based on Joint control of DGs

Distributed Power Restoration Method Based on Joint Control ...

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2023 International Conference on power system Technology, powerCon 2023

作者： Wang, Ruimei Cong, Wei Tang, Yi Wang, Anning Zhang, Yongjie Gu, Qianshuo Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350300222

As the scale of power system continues to expand, the proportion of distributed generators (DGs) in the smart distribution network has been increasing year by year. To address the problem of power restoration after DGs access, distributed power restoration method based on joint control of photovoltaic unit and pv/battery unit is proposed. Analyzing the control modes of photovoltaic unit and pv/battery unit during distributed power restoration, available capacity and adjustment range are determined based on control principles and operation constraints. Based on this method, the network is gradually converted into Thevenin equivalent circuit, and power restoration calculations are performed while considering the operating characteristics of photovoltaic unit and pv/battery unit. At the same time, power output adjustment is carried out based on voltage and frequency constraints to avoid overvoltage or frequency problems during the power restoration process. Using IEEE 33-node system as an example, then the feasibility of this method is verified. © 2023 IEEE.

关键词： Restoration

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Adjustable Robust Optimal dispatch of Microgrid Cluster with SESS Considering Uncertain Renewable Energy and Load 37th

Adjustable Robust Optimal Dispatch of Microgrid Cluster with...

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37th Annual Conference on power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Chen, Yang Chen, Jian Zhang, Yicheng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Singapore138632 Singapore

ISBN: (纸本)9789819914388

Energy Storage system (ESS) has been utilized extensively to manage the uncertainty of renewable energy output and load demand. To utilize ESS more effectively, the concept of shared energy storage system (SESS) is proposed. This paper proposes an adjustable robust optimization model for microgrid cluster, taking into consideration the uncertain renewable energy and load. The robust adjustment parameter Γ is introduced to adjust the conservative degree of the model. According to the predicted WT and PV outputs, load demand and given Γ, the reserve capacity and pre-scheduling scheme of microgrid cluster are solved. By simulating the actual fluctuation of uncertain parameters and re-scheduling, the robustness and economy of pre-scheduling schemes under different Γ are verified. Simulation results demonstrate that the adjustable robust optimization model is superior to both the deterministic optimization model and the static robust optimization model. Furthermore, comparing the operating costs of each microgrid with ESS and the microgrid cluster with SESS, it is proved that SESS not only reduces the charging and discharging frequency of ESS, but also decreases the requirement for reserve capacity, thereby reducing the operation cost. © 2023, State Grid Electric power.

关键词： Energy storage

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Post-Disaster Recovery Strategy for the Distribution Network Considering Mobile Emergency Resource 37th

Post-Disaster Recovery Strategy for the Distribution Network...

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37th Annual Conference on power system and Automation in Chinese Universities, CUS-EPSA 2022

作者： Qi, Xianglong Chen, Jian Zhang, Yicheng Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan250061 China Singapore138632 Singapore

ISBN: (纸本)9789819914388

Due to the frequent occurrence of extreme natural disasters, the distribution network is vulnerable to significant effect, resulting in partial power supply interruption and the formation of islands. Emergency power supply vehicles (EPSVs) can temporarily restore power supply to the islands during the outage, and repair crews (RCs) are sent to repair faulted lines. To accelerate fault recovery, a two-stage optimization recovery strategy for the distribution network is proposed in this paper. In the first stage, the distribution network reconfiguration model is established to maximize the critical load recovery. In the second stage, according to the reconfiguration result, EPSVs select the islands with the highest emergency degree of failure load to provide power supply. In the meantime, RCs pick the island which still has more load loss to repair the fault line after power supply restoration. Mobile emergency resources (MERs) are continuously sent depending on the results of a two-stage rolling optimization to promptly restore power supply to all loads. The dispatching routes of MPSs considering the dynamic traffic network models are optimized by using Floyd algorithm. The reliability and effectiveness of the proposed strategy are verified by simulation of the IEEE 33- node system. © 2023, State Grid Electric power.

关键词： Restoration

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Distributed Stochastic Security Constrained Unit Commitment for Coordinated Operation of Transmission and Distribution system

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CSEE Journal of power and Energy systems 2021年第4期7卷 708-718页

作者： Aamir Nawaz Hongtao Wang Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong UniversityJinan 250000China

With the high penetration of renewable energies in modern power systems,deterministic coordination algorithms are facing two major problems:one is degradation in accuracy if fewer scenarios are utilized for uncertainty evaluation while second is the high computational time if a high number of scenarios are considered for better accuracy・In both cases,the efficiency of the algorithm is degraded・To solve these problems in coupled transmission system and distribution systems(TSDS),probabilistic coordination algorithms are adopted to solve with less *** this paper,a TSDS probabilistic coordination model is proposed to solve the coordinated security-constrained unit commitment problem.A mean and standard deviation matching based probabilistic analytical target cascading algorithm has been utilized for evaluation of TSDS coordination *** of solving each scenario as a separate problem,the proposed algorithm considers a single coordination problem with probabilistic characteristics as shared variables and hence,achieves fast convergence・Different case studies are performed to prove the efficacy of the proposed *** verify that the proposed algorithm reduces computational time and resources for large-scale systems.

关键词： Distribution system mean probabilistic analytical standard deviation target Cascading transmission system

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Design of Trading Adjustment Mechanism for Energy Storage in Electricity Market Based on Equivalent Net Load Fluctuation 6

Design of Trading Adjustment Mechanism for Energy Storage in...

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6th International Conference on Energy, Electrical and power Engineering, CEEPE 2023

作者： Song, Shihang Zhang, Li Qi, Zhiqiang Wang, Haibo Wang, Yuxi Su, Xinyan Chen, Guanting Wang, Fukun Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Jinan China State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350348279

As the proportion of renewable energy connected to grid increases continuously, the volatility and uncertainty of its output affect the safe operation of the power system, so it is necessary to adjust the trading mechanism of electricity market. As a high-quality flexible resource, energy storage becomes an important means to deal with the challenge caused by renewable energy. How to improve the mechanism of electricity market to better play the role of energy storage is worthy of in-depth research. This paper proposes a trading adjustment mechanism for energy storage in electricity market based on the fluctuation degree of equivalent net load, and establishes a joint market model of energy market and frequency regulation market including storage power station. The example simulation shows that the trading adjustment mechanism proposed in this paper can effectively enhance the role of energy storage, and has a good effect on improving the fluctuation degree of net load and reducing system operating costs. © 2023 IEEE.

关键词： power markets

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Distributed Photovoltaic power Forecasting Method Based on AP Clustering and Transfer Learning

Distributed Photovoltaic Power Forecasting Method Based on A...

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2024 IEEE IAS Industrial and Commercial power system Asia, I and CPS Asia 2024

作者： Yang, Baolong Yang, Ming Bu, Qiangsheng Wang, Chuanqi Zhang, Yuanhe Li, Menglin Luo, Fei Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan China Research Institute State Grid Jiangsu Electric Power CO. LTD. Nanjing China

ISBN: (纸本)9798350352290

Highly accurate photovoltaic (PV) power forecast technology can provide a scientific basis for grid planning to ensure safe, economical, and efficient grid operation. The investment cost for a specialized power prediction system for each PV plant is high. Consequently, a distributed PV (DPV) power forecast method based on affinity propagation (AP) clustering and transfer learning is proposed in this paper. First, the dynamic time warping (DTW) algorithm determines the similarity of power curves between DPV plants;on this basis, multiple DPV power plants in the area to be forecasted are divided into station clusters by using AP clustering;and the PV power plants in each station cluster are divided into source and target domain by transfer learning, combined with long-short term memory (LSTM) network, the power forecasting model is established, and enabling transfer of power models from source to target domain. Finally, data from 20 DPV plants in China are used to demonstrate the effectiveness of the approach. Compared to separate modeling, the proposed method reduces the average training time by 58% while maintaining the forecasting accuracy. © 2024 IEEE.

关键词： AP clustering distributed photovoltaic power plant clusters LSTM transfer learning

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HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC STATION UNDER NO-LOAD CHARGING CONDITION 20

HIGH-FREQUENCY OSCILLATION ANALYSIS OF WIND FARM-SIDE MMC ST...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Yang, Yongqing Ye, Hua Li, Guanqun Yang, Jialun Zhao, Yujing Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University 17923 Jingshi Road Jinan China State Grid Jinan Power Supply Company Jinan China

ISBN: (纸本)9781837242672

Existing research on high-frequency oscillation indicates that the high-frequency oscillation during no-load charging of modular multilevel converter (MMC) station is primarily linked to time delay and the ground capacitance of AC lines. Nevertheless, a high-frequency oscillation around 2000 Hz has been observed in Rudong high voltage direct current project even when the AC lines are not connected. Except time delay, there still exists another key factor of the high-frequency oscillation, i.e., the transformer stray capacitance. This paper delves into the interaction among the dynamics of MMC station and the transformer. And the mechanism of high-frequency oscillation under no-load charging condition is determined. Firstly, the harmonic state space (HSS) model of MMC station considering the effect of stray capacitance is established. By plotting the eigenvalue trajectory, the essentiality of taking into account stray capacitance is elucidated. Subsequently, a simplified model is obtained by neglecting the dynamics of elements with low participation in the oscillation modes. Next, the mechanism of high-frequency oscillation is clarified according to impedance characteristics. Finally, the impact of proportional gain and shear frequency on small signal stability is revealed. The correctness and accuracy are identified by electromagnetic transient simulations. © The Institution of Engineering & Technology 2024.

关键词： Eigenvalues and eigenfunctions

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Topology Identification for Distribution systems Based on Bayesian Nonparametric Model and Gaussian Mixture Ensemble Kalman Filter 9

Topology Identification for Distribution Systems Based on Ba...

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9th Asia Conference on power and Electrical Engineering, ACPEE 2024

作者： Zhang, Tingting Zhang, Wen Shandong University School of Control Science and Engineering Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China

ISBN: (纸本)9798350309638

To ensure the secure and reliable operation of active distribution systems (ADSs), it is essential to efficiently and accurately identify their time-varying topology. This paper proposes an estimation-based topology identification (TI) method for ADSs considering topology changes. The TI problem is formulated by a forecasting-aided estimation model, which is depicted by a discrete-time switching state-space model. The topology change process is described by a Bayesian nonparametric model that allows TI with limited knowledge of topology libraries. Then the Gaussian mixture ensemble Kalman filter (GM-EnKF) is employed to carry out the TI, where the underlying probability density is approximated by using Gaussian mixture model. In this case, the proposed method become capable of handling the unavoidable non-Gaussian noises in realistic distribution systems. Test results on various ADSs validates the effectiveness of the proposed GM-EnKF-based TI method on accurate and efficient topology identification. © 2024 IEEE.

关键词： Topology

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An Optimal Scheduling Strategy for Wind-PV and Multi-Type Energy Storage Co-Generation system 6

An Optimal Scheduling Strategy for Wind-PV and Multi-Type En...

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6th International Conference on power and Energy Applications, ICPEA 2023

作者： Ma, Huan Tian, Hao Zhang, Kunpeng Liu, Yutian Shandong Electric Power Research Institute Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350359053

Multi-type energy storage is essential for managing fluctuations in renewable energy power and increasing the consumption rate of renewable energy. In this paper, an optimal scheduling strategy for the co-generation system comprising wind power, photovoltaic power, electrical energy storage, and hydrogen energy storage is proposed. The strategy consists of a global optimization model and an application-oriented Pareto optimal solution screening methodology. The global optimization model establishes a multi-objective optimization model based on meteorological prediction information that considers the intended output power completion of the co-generation system, the remaining equivalent power of the energy storage plant, and the equivalent production of hydrogen. The NSGA-II is utilized to solve the global optimization model and obtains multiple Pareto optimal solutions. The optimal solutions are screened by applying the application-oriented Pareto optimal solution screening methodology. Finally, a co-generation plant in Shandong Province is presented to validate the effectiveness of the proposed approach in mitigating wind variability and encouraging the adoption of renewable energy sources. © 2023 IEEE.

关键词： Multiobjective optimization

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