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Risk-aware Distributed Optimal Power Flow in Coordinated Transmission and Distribution system

Journal of Modern Power systems and Clean Energy 2021年第3期9卷 502-515页

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

Active distribution grids cause bi-directional power flow between transmission system(TS)and distribution system(DS),which not only affects the optimal cost but also the secure operation of the power *** paper proposes a hybrid coordination method to solve the risk-aware distributed optimal power flow(RA-DOPF)problem in coordinated TS and *** operation risk evaluation,the weather-based contingencies are considered in both TS and DS.A hybrid coordination method is developed that entails analytical target cascading(ATC)and Benders decomposition(BD).Moreover,the risk-aware optimal power flow(RAOPF)in TS and risk-based security-constrained optimal power flow in DS have been performed using the BD method considering basic optimal power flow as a master problem,whereas N-1 and N-2 contingencies are considered as *** case studies are performed using the IEEE 30-bus system with generation reserves as a TS and a 13-bus system as a *** results demonstrate the efficacy of the proposed method.

关键词： Analytical target cascading Benders decomposition distribution system preventive and corrective contingen-cies risk awareness transmission system

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An Optimal control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2081-2093页

作者： Zhe Chen Ning Li Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240 Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Department of Automation Tsinghua UniversityBeijing 100084China IEEE

This paper studies a novel distributed optimization problem that aims to minimize the sum of the non-convex objective functionals of the multi-agent network under privacy protection, which means that the local objective of each agent is unknown to others. The above problem involves complexity simultaneously in the time and space aspects. Yet existing works about distributed optimization mainly consider privacy protection in the space aspect where the decision variable is a vector with finite dimensions. In contrast, when the time aspect is considered in this paper, the decision variable is a continuous function concerning time. Hence, the minimization of the overall functional belongs to the calculus of variations. Traditional works usually aim to seek the optimal decision function. Due to privacy protection and non-convexity, the Euler-Lagrange equation of the proposed problem is a complicated partial differential ***, we seek the optimal decision derivative function rather than the decision function. This manner can be regarded as seeking the control input for an optimal control problem, for which we propose a centralized reinforcement learning(RL) framework. In the space aspect, we further present a distributed reinforcement learning framework to deal with the impact of privacy protection. Finally, rigorous theoretical analysis and simulation validate the effectiveness of our framework.

关键词： Distributed optimization multi-agent optimal control reinforcement learning(RL)

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Low-Carbon Dispatch Strategy for Virtual Power Plant Based on Bagging Ensemble Learning Forecasting Method 7

Low-Carbon Dispatch Strategy for Virtual Power Plant Based o...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Li, Guang Dong, Xin Li, Li Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

Virtual power plants (VPPs) struggle with peak-shaving due to unreliable distributed generation (DG) data and the intermittent nature of wind and solar power, impacting carbon emissions. This paper proposes a low-carbon dispatch strategy for VPPs based on a Bagging ensemble forecasting model. Firstly, a VPP dispatch framework based on DG output and load forecasting is established, and a Bagging ensemble forecasting model with feature selection is proposed. Secondly, the control characteristics of flexible industrial, commercial, and residential loads are analyzed to establish a control cost model, which is then integrated with the balanced relationship between wind, photovoltaic, and energy storage, as well as the carbon emission mechanism, to formulate a low-carbon dispatch model. Finally, the simulation results show that the proposed strategy can improve the accuracy of DG output and load forecasting in complex feature environments while realizing the interaction between source-grid-load and reducing the generation and operation costs of the grid. © 2024 IEEE.

关键词： Carbon capture and utilization

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Forecasting-Aided Voltage Estimation for Distribution Network Considering the Integrated Management of Virtual Power Plants Platform 7

Forecasting-Aided Voltage Estimation for Distribution Networ...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Jia, Yujian Liu, Zhao Kan, Changtao Yu, Yue Li, Changgang State Grid Jinan Power Supply Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9798350366945

As more distributed energy sources integrate into distribution networks, issues such as voltage fluctuations and reduced observability become increasingly prominent. Therefore, this paper proposes an algorithm for forecasting-aided state estimation (FASE) in virtual power plants' integrated operation management platform. Firstly, a Bidirectional Long Short-Term Memory (BiLSTM)-Extended Kalman Filter (EKF) algorithm for distribution network FASE is introduced. Secondly, the integrated management of virtual power plant platforms (IM-VPPP) enhances the observability of distribution networks. To evaluate the performance of the proposed method, simulations are conducted using the IEEE 33-bus standard distribution system. Results demonstrate significant advantages of the algorithm in terms of accuracy and robustness. © 2024 IEEE.

关键词： Power distribution networks

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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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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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High-order harmonic soliton generation in a passive hybrid mode-locking fiber laser 8

High-order harmonic soliton generation in a passive hybrid m...

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8th Symposium on Novel Photoelectronic Detection Technology and Applications

作者： Guo, Yuqing Chen, Jie Yang, Lingzhen Wang, Juanfen College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

A tunable repetition-rate, high-order harmonic soliton is realized in a passively hybrid mode-locked all-fiber laser by using a carbon nanotube and nonlinear polarization rotation (NPR) technique. At different polarization states with appropriate pump power, the laser can operate at tunable harmonic solitons of 1st, 3rd, 7th, 11th, 17th, 22th, and 29th, corresponding to the fundamental repetition rate ranging from 18.22MHz to 528.5MHz, which was mainly caused by the NPR effect and intracavity spectral filtering effect. © 2022 SPIE

关键词： Solitons

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controllable helical collapse caused by a nonlinearity-related Gouy phase shift

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Physical Review A 2024年第2期110卷 023529页

作者： Dan Wang Xin Zhang Rui-Wei Li Fan Feng Lin Lu Hui Feng Biao Feng Shao-Ding Liu Zhong-Quan Nie Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering College of Physics College of Electrical and Power Engineering College of Advanced Interdisciplinary Studies

Helical filamentation of optical fields has gained significant attention due to its potential physical properties, complexity, and practicality. However, conventional methods of manipulating filament formation face a major challenge in achieving controllable helical filamentation. We propose a method to manipulate helical collapse based on a nonlinearity-related Gouy phase shift. This method is triggered by the nonlinear interaction between vector vortex beams and anisotropic Kerr media. It is uncovered that, in the absence of the vortex, the radially polarized beam can only form the multifilament at specific locations in a BaF2 crystal. Nevertheless, once the vortex is attached, the beam can rotate based on the multifilament. The direction and angle of the rotation can be controlled by varying the topological charge number of the vortex phase. In addition, spin-orbit coupling and a rotational nonlinear refractive phase shift are generated during the helical collapse process. Finally, the physical mechanism behind this helical collapse is illustrated by a nonlinearity-related Gouy phase shift. This research presents a different approach to controlling optical field collapse and filamentation, with potential applications in various fields, including optical communications, optical manipulation, and optical microprocessing.

关键词： Light-matter interaction Nonlinear optics Self-focusing Third order nonlinear optical processes Femtosecond laser irradiation Kerr effect

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Design and Experimental Validation of a Worm-Like Tensegrity Robot for In-Pipe Locomotion

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Journal of Bionic Engineering 2023年第2期20卷 515-529页

作者： Xiaolin Dai Yixiang Liu Wei Wang Rui Song Yibin Li Jie Zhao School of Control Science and Engineering Shandong UniversityJinan250061China Engineering Research Center of Intelligent Unmanned System of Ministry of Education Jinan250061China Shandong Research Institute of Industrial Technology Jinan250061China State Key Laboratory of Robotics and System Harbin Institute of TechnologyHarbin150080China

Traditional rigid-body in-pipe robots usually have complex and heavy structures with limited flexibility and *** soft in-pipe robots have great improvements in flexibility,they still have manufacturing difficulties due to their reliance on high-performance soft *** structure is a kind of self-stressed spatial structure consisting discrete rigid struts connected by a continuous net of tensional flexible strings,which combines the advantages of both rigid structures and soft *** applying tensegrity structures into robotics,this paper proposes a novel worm-like tensegrity robot for moving inside ***,a robot module capable of body deformation is designed based on the concept of tensegrity and its deformation performance is ***,the optimal parameters of the module are obtained based on the tensegrity *** deformation ability of the tensegrity module is tested ***,the worm-like tensegrity robot that can crawl inside pipes is developed by connecting three modules in *** performance and load capacity are tested on the prototype of the worm-like tensegrity robot by experiments of moving in horizontal pipe,vertical pipe,and elbow *** results demonstrate the effectiveness of the proposed design and suggest that the robot has high compliance,mobility,and adaptability although with simple structure and low cost.

关键词： Bio-inspired robot Soft robot application Tensegrity structure Pipe crawling

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