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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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Value Set-Based Method for Solving Stability Boundary of systems With Uncertain Time Delays

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IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 2025年 22卷 12213-12227页

作者： Ye, Hua Shi, Xiubao Chu, Xiaodong Liu, Yutian Sun, Shumin Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Shandong Res Inst Ind Technol Jinan 250101 Peoples R China State Grid Shandong Elect Power Res Inst Jinan 250003 Peoples R China

Existing methods for computing stability boundary of systems with multiple uncertain time delays are either conservative or suffer from low computational efficiency. Addressing this challenge, a value set based method is proposed to solve stability boundary for time delays with high efficiency. Firstly, the characteristic quasi-polynomial of the system is constructed in the periodic multiplication between frequency and time delays (FDM) space. Subsequently, the characteristic quasi-polynomial is transformed by the value set approximations, which is then refined through parameter space subdivision to achieve the required accuracy. Finally, the stability boundary is solved by traversing the parameter space with a bisecting step size. This method is characterized by its efficiency without introducing conservativeness, which is achieved through the decreasing step size space traversal. Numerical examples and a case study based on a microgrid with three distributed generators (DGs) that introduce communication delays are served to validate the accuracy and *** to Practitioners-This paper proposes a value set based method to solve stability boundary of the system with multiple uncertain time delays. The method is developed based on the necessary and sufficient criteria. The method leverages the periodicity of FDM and employs a variable step traversal algorithm to decrease the computational burden and achieve high efficiency. Notably, this method can be used for systems with multiple time delays, regardless of the range or quantity of the delays. This method is effective for analyzing systems with multiple time delays, offering support for controller design and enhancing system stability.

关键词： Delay effects Numerical stability Stability criteria Delays power system stability Asymptotic stability Accuracy Mathematical models Vectors Uncertainty Small signal stability time delay stability boundary uncertainty value set method zero exclusion principle microgrid

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power system Fault Diagnosis Method Based on Intuitionistic Fuzzy Sets and Incidence Matrices

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IEEE TRANSACTIONS ON power DELIVERY 2023年第6期38卷 3924-3938页

作者： Shao, Ning Chen, Qing Dong, Yuzhan Ding, Wei Wang, Lei Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China State Grid China Technol Coll Jinan 25002 Peoples R China

Fault diagnosis is critical to ensuring the stable and reliable operation of power systems. Currently, power system fault diagnosis faces two challenges. One is that fault diagnosis methods do not fully consider power system scale and topology changes. The other is that the uncertainty of alarm information yields inaccurate fault diagnosis results. To address the above problems, this article proposes a fault diagnosis method based on intuitionistic fuzzy sets and incidence matrices. First, the fault area is searched, and its incidence matrices are constructed. Then, the intuitionistic fuzzy numbers are assigned to the incidence matrices using proposed assignment rules to form intuitionistic fuzzy incidence matrices while considering the missing alarm information. Finally, the fault diagnosis model based on intuitionistic fuzzy incidence matrices and its reasoning process are utilized to diagnose the fault area. The case studies illustrate that the proposed method has high accuracy and fault tolerance. The fault diagnosis model is independent of the power system scale and can adapt to topology changes. Moreover, the reasoning process is low-complexity and easy to implement. The proposed method is demonstrated to satisfy the demand for online fault diagnosis in large-scale power systems.

关键词： Fault diagnosis power systems Circuit faults Circuit breakers Topology Fuzzy sets power system faults Alarm information fault diagnosis incidence matrix intuitionistic fuzzy set power system

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Sequential Disaster Recovery Strategy for Resilient Distribution Network Based on Cyber-Physical Collaborative Optimization

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IEEE TRANSACTIONS ON SMART GRID 2023年第2期14卷 1173-1187页

作者： Sun, Xiuchuan Chen, Jian Zhao, Haoran Zhang, Wen Zhang, Yicheng Shandong Univ Key Lab Power Syst Intelligent Dispatch Control Minist Educ Jinan 250061 Peoples R China Agcy Sci Technol & Res Inst Infocomm Res Singapore 138632 Singapore

A novel two-stage sequential disaster recovery strategy for resilient cyber-physical distribution power systems (CPDPSs) is proposed with consideration of cyber-physical collaborative optimization. In the first stage, a mixed-integer linear programming (MILP) model is formulated based on the integration of a transportation network (TN), a cyber network (CN) and a physical network (PN) to achieve efficient load recovery. Additionally, a 'repair-event-triggered' mechanism is proposed to facilitate effective and collaborative optimization among physical maintenance crews (PMCs), cyber maintenance crews (CMCs), and a distribution network recovery model (DNRM). In the second stage, PMCs and CMCs are rescheduled to repair the remaining damaged components with the lowest time cost after all the power supplies are restored. The effectiveness and applicability of this proposed model are validated using the IEEE 33 bus system and the PG & E 69 bus system.

关键词： Maintenance engineering Load modeling Indexes Distribution networks Resilience Couplings power systems Cyber physical power distribution system maintenance crews recovery strategy resilience

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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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