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5th International Conference on power and Renewable Energy, ICPRE 2020

作者： Jiang, Shan Liang, Jiabi Zhu, Ke Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728190266

With the increasing application of disturbance waveform data, a general disturbance detection technology faced with various transient waveforms has practical significance for simplifying the detection process of specific disturbances and improving the accuracy of the specific disturbance detection. To this end, a detection algorithm for transient disturbance waveforms based on the probability density of remaining data is proposed in this paper. Firstly, the method of obtaining the remaining waveform data and its probability density is presented. Then, the probability distribution law of noise in power waveform data is studied based on the field measured data. Finally, according to the probability density difference of the remaining waveform data in adjacent periods, a transient waveform detection algorithm based on Wasserstein distance between probability densities is established. The threshold is determined by the box plot. A large amount of field measured data verifies the effectiveness of the proposed disturbance detection algorithm. © 2020 IEEE.

关键词： Probability density function

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A control Strategy Based on Deep Reinforcement Learning Under the Combined Wind-Solar Storage system

A Control Strategy Based on Deep Reinforcement Learning Unde...

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3rd IEEE Student Conference on Electrical Machines and systems (SCEMS)

作者： Huang, Shiying Yang, Ming Zhang, Changhang Yun, Jiangyang Gao, Yuan Li, Peng Shandong Univ Key Lab Power Syst Intelligent Dispatch & Control Jinan Peoples R China

ISBN: (纸本)9781728156224

The cooperation of hybrid system composed of wind power, photovoltaic power and energy storage system(ESS) in the power market can effectively help improve the income of renewable generation. The traditional power network scheduling approach usually starts with power prediction and then optimizes the scheduling, which can easily lead to information loss and modeling error. To solve this problem, this paper proposes an energy storage system control strategy based on deep reinforcement learning (DRL) in the scene of the combined wind-solar storage system. Deep Q Network (DQN) algorithm is introduced to realize the coordination of the control of the ESS with the output of wind power and photovoltaic power, so as to maximize the benefits of renewable energy generators in the power market.

关键词： energy storage system photovoltaic power wind power deep reinforcement learning control strategy

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Security Assessment of Interdependent Electricity-Gas Networks

Security Assessment of Interdependent Electricity-Gas Networ...

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2020 IEEE Sustainable power and Energy Conference, iSPEC 2020

作者： Wei, Tongxin Chu, Xiaodong Liu, Yutian Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728191645

Integrated energy networks are superb energy system configurations. There emerges many types of integrated energy networks, in which interdependent electricity-gas networks are commonly implemented ones. Security assessment the integrated energy network is a vital research topic, which is studied in this paper. First, the models of interdependent electricity-gas networks are shown with the coupling mechanism analyzed. Second, security assessment of the interdependent networks is implemented, in which the loss of load is selected as the indicator weighing security. Third, security assessment on the test electricity-gas networks is conducted. Simulation results demonstrate the effectiveness of the proposed security assessment strategy. © 2020 IEEE.

关键词： Network security

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An Open Source Simulation Toolkit for Large-Scale Electrical power system Static and Dynamic Studies

An Open Source Simulation Toolkit for Large-Scale Electrical...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Li, Changgang Wu, Yue Zhang, Hengxu Liu, Yutian Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9781728143033

This paper is an overview of Simulation Toolkit of Electrical power systems (STEPS). STEPS is an open-source toolkit designed for the education of power system simulation. STEPS has an independent kernel which is coded in C++ to achieve better computational efficiency. STEPS also provides a python module named stepspy to provide higher-level functions to simplify the operations. power flow solution is implemented and options are included in STEPS to maintain a balance between speed and convergence. Based on the power flow solution, dynamic simulation of large-scale systems with renewable sources is also implemented in STEPS. Abundant additional options are provided to achieve better accuracy and speed. Detailed steps to install STEPS, approaches to use stepspy, and the way to use Python paralleling computing are discussed. Cases are given to show the performance of the power flow options provided in STEPS. Dynamic simulation and efficiency of Python parallel when generating samples for research are also presented in this paper. © 2020 IEEE.

关键词： Python

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Communication Structure Design of controllable Residential Loads

Communication Structure Design of Controllable Residential L...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Ge, Xin Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9781728143033

A large number of controllable loads on the user side, especially scattered and flexible controllable residential loads, plays an important role in the safe, reliable and economic operation of the power grid. At present, they have been widely used in many aspects of the power grid such as demand-side management, dynamic security enhancement, etc. In order to achieve the integration of multiple controllable loads in the power grid, not only a reliable control strategy is required, but also need a communication structure with good performance including strong load-carrying capacity, low latency and appropriate network throughput. This communication structure would support the transmission of data packets or control commands between the controllable loads and the power grid. This paper proposes a three-tier communication structure of controllable residential loads, establishes a corresponding model based on OPNET and simulates in four different scenarios by collecting three statistics to verify the feasibility of this model. © 2020 IEEE.

关键词： Electric power transmission networks

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Evaluation Method of Static Voltage Stability in Multi-infeed HVDC system during power system Restoration 5

Evaluation Method of Static Voltage Stability in Multi-infee...

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5th Asia Conference on power and Electrical Engineering, ACPEE 2020

作者： Ai, Hongyu Wang, Hongtao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728152813

Considering the coordination of restoration path selection and power recovery control, this paper proposes a static voltage stability evaluation method for multi-infeed HVDC (MIDC) system. Firstly, a multi-infeed comprehensive short circuit ratio (MISCR) index is applied to evaluate the voltage stability at the converter bus. The continuous power flow method is used to evaluate the static voltage stability margin of other AC nodes, which can not only be used as the safety constraint of power recovery, but also give the weak nodes of the system and guide the power recovery control. Then, the influence of restoration path on HVDC support capability is studied, a multi-infeed short circuit ratio offset (MSCRO) index is proposed to optimize the restoration path. When the restoration path is determined, MISCR can be used to calculate the maximum DC power that can be accessed and the voltage stability margin is obtained by continuous power flow method. Therefore, the purpose of making use of DC power to speed up the recovery process and ensure the safety of recovery is achieved. The IEEE 39 buses test system is taken as an example to verify the feasibility and effectiveness of the proposed method. © 2020 IEEE.

关键词： Recovery

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Spinning Reserve Optimization under Multiple Time Resolution Unit Commitment Module

Spinning Reserve Optimization under Multiple Time Resolution...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Li, Jianying Wang, Mingqiang Fang, Zhen Wang, Zhixin Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Shandong University Jinan China

ISBN: (纸本)9781728143033

Spinning reserve is the unused capacity of synchronized units and it is used to address the unforeseen events during power system operations. This paper proposes a spinning reserve optimization method under the multiple time resolution unified unit commitment and economic dispatch model. Finer time resolution and detailed modeling will be used during the first few hours of the scheduling cycle, while coarser time resolution and simplified modeling will be used during the remaining hours. The spinning reserve is determined by minimizing the running cost, start-up cost, shut-down cost, reserve cost and the expected interruption cost. In order to overcome the computation intractability introduced by EENS, EENS is formulated as linear function of the system spinning reserve. It is found that the multiple time resolution model is fit for determining multiple type of reserves rather than single type of reserve. The efficiency and validity of the proposed method is verified using the IEEE-RTS system. © 2020 IEEE.

关键词： Scheduling

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Topology Estimation of power Distribution Grids Using Graphical Model

Topology Estimation of Power Distribution Grids Using Graphi...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Deng, Chonghong Chu, Xiaodong Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of the Ministry of Education Jinan China

ISBN: (纸本)9781728143033

Distribution networks represent the final tier in electric networks consisting of medium and low voltages lines that connect the distribution substations to the loads. Traditionally, distribution networks have been operated in a radial topology, with access to a lot of distributed renewable energy, the topology of distribution networks changes very frequently. power distribution networks suffer from a lack of real-time observability, estimation of the topology is a critical problem for its observability and control. In this paper, a new method based on graphical is proposed, which uses the voltage measurements collected from the grid to estimate the topology of radical networks. The learning method is based on Euclidean distance and minimum spanning tree Kruskal algorithm. The performance of the method is verified by simulation of a distributed test case. © 2020 IEEE.

关键词： Graphic methods

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Efficient Multi-Port Bidirectional Converter With Soft-Switching Capability for Electric Vehicle Applications

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IEEE ACCESS 2021年 9卷 107079-107094页

作者： Faraji, Rasoul Ding, Lei Rahimi, Tohid Farzanehfard, Hosein Hafezi, Hossein Maghsoudi, Mohammad Shandong Univ Sch Elect Engn Key Lab Power Syst Intelligent Dispatch & Control Minist Educ Jinan 250061 Peoples R China Isfahan Univ Technol Dept Elect & Comp Engn Esfahan *** Iran Tampere Univ Fac Informat Technol & Commun Tampere 33720 Finland

In this paper, to solve the hard-switching operation problem and the lack of existing a bidirectional power flow path from output to the energy storage device of the conventional three-port converter, a new soft-switched bidirectional multi-port converter is proposed. A large number of switches, different power flow paths which vary in each operating mode, and changing the outputs and their power levels are some of the challenges to provide soft-switching conditions in multi-port converters. In the proposed converter, by changing the topology of the conventional three-port converter, the bidirectional power exchangeability between ports is provided. Moreover, a soft-switching cell is added, which can operate independently from the output power levels. Less number of components with low volume is one of the important features of this multi-port converter. Due to the soft-switching operation of the proposed converter, the size of passive components and heat-sink is reduced. In addition, by the use of coupled inductors in the soft-switching cell, only one magnetic core is used and thus, single-stage power conversion is achieved and conduction loss is reduced. In this paper, the converter operating modes are presented, and design considerations are discussed. Finally, a 200 W-200 V prototype is implemented, and the theoretical analysis is validated by the experimental results.

关键词： Inductors Switches Topology Load flow Snubbers Magnetic cores Zero voltage switching Multi-port converter dc-dc converter soft-switching electric vehicle hybrid power systems

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Analysis of Subsynchronous Oscillation Caused by Integration of New Wind Farm via MMC-HVDC

Analysis of Subsynchronous Oscillation Caused by Integration...

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2020 IEEE/IAS Industrial and Commercial power system Asia, I and CPS Asia 2020

作者： Zhang, Xi Ye, Hua Qi, Bin Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China

ISBN: (纸本)9781728143033

The integration of new wind farm via modular multilevel converter based high-voltage direct current (MMC-HVDC) will lead to subsynchoronous oscillation (SSO). The SSO will activate the protection of MMC-HVDC, and then the whole system will shut down. In order to address this problem, the propagation and distribution of SSO in the whole system are derived. First, the model of wind farms integrated into the power grid through MMC-HVDC is established. Second, the characteristics of SSO caused by the integration of new wind farm is analyzed. The process of propagation of SSO from wind farms to MMC-HVDC is derived. By calculating the instantaneous power of the MMC bridge arms, the frequencies of SSO components present in the system are calculated. The SSO components frequency relationship among wind farm, MMC-HVDC and power grid is revealed. Finally, the correctness of the theoretical analysis is validated by time-domain simulations. © 2020 IEEE.

关键词： Wind farm

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