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8th renewable power Generation Conference, RPG 2019

作者： Yan, Gangui Hu, Wenbo Jia, Qi Wang, Dan Zhou, Guoqing Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

ISBN: (纸本)9781839531255

Large-scale grid-connection of photovoltaic (PV) generation causes the power system to face the problem of insufficient inertia and insufficient frequency modulation capability. One of the important means to solve this problem is to take part in grid frequency regulation actively. On the basis of spare certain active power, this paper puts forward the active power-frequency droop control strategy. By modifying the original control structure of the inverter, PV generation actively takes part in the grid frequency primary regulation. In order to achieve non-error adjustment of frequency, this paper further proposes a secondary frequency regulation control strategy that adapts to different grid-side AGC control modes (constant frequency control mode, constant tie line power control mode and tie line power frequency deviation control mode). The effectiveness and feasibility of the control strategies are verified based on the PSCAD/EMTDC simulation platform. © 2019 Institution of Engineering and technology. All rights reserved.

关键词： Frequency modulation

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power system transient stability margin assessment using steady-state information

Power system transient stability margin assessment using ste...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： An, Jun Mu, Gang Li, Zonghan Liu, Daowei Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Jinlin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

Transient stability margin assessment provides power grid dispatchers with important criteria for decision-making and preventive control. The computational efficiency of online transient stability margin assessment can be largely improved with the use of steady-state information. In this paper, we propose a novel methodology for online stability margin assessment. A multi-swing based strategy that overcomes the false identification issues of previous methods is firstly illustrated. Based on this improved strategy, a composite neural network is constructed and trained offline to establish the mapping relationship between steady-state characteristics and generator transient stability indices. Finally, the trained neural network is utilized for online transient stability margin assessment. The major advantage of the proposed methodology is that we only use steady-state information in the online assessment process therefore system transient stability margin under worst disturbances can be fast and accurately predicted, providing system dispatchers with adequate time for preventive control. The validity of the proposed methodology is demonstrated in the IEEE 39-bus system. © 2019 IEEE.

关键词： Computational efficiency

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Large-Scale Multi-Object Rearrangement

Large-Scale Multi-Object Rearrangement

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Huang, Eric Jia, Zhenzhong Mason, Matthew T. State Grid Liaoning Electric Power Co Ltd Shenyang China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781538660263

This paper describes a new robotic tabletop rearrangement system, and presents experimental results. The tasks involve rearranging as many as 30 to 100 blocks, sometimes packed with a density of up to 40%. The high packing factor forces the system to push several objects at a time, making accurate simulation difficult, if not impossible. Nonetheless, the system achieves goals specifying the pose of every object, with an average precision of +/- 1 mm and +/- 2 degrees. The system searches through policy rollouts of simulated pushing actions, using an Iterated Local Search technique to escape local minima. In real world execution, the system executes just one action from a policy, then uses a vision system to update the estimated task state, and replans. The system accepts a fully general description of task goals, which means it can solve the singulation and separation problems addressed in prior work, but can also solve sorting problems and spell out words, among other things. The paper includes examples of several solved problems, statistical analysis of the system's behavior on different types of problems, and some discussion of limitations, insights, and future work.

关键词： Planning Task analysis Grasping Robots Annealing Trajectory Markov processes

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Reliability Evaluation of a Regional Integrated energy system Based on Complex Network Theory

Reliability Evaluation of a Regional Integrated Energy Syste...

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Sustainable power and energy Conference (iSPEC)

作者： Jifeng Li Kuizheng Song Xingtang He Hao Luo Dalian Electric Power Supply Company State Grid Liaoning Electric Power Supply Co. Ltd Dalian China Dispatching and Control Center State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China Key Laboratory of the Ministry of Education on Smart Power Grids Tianjin University Tianjin China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Northeast Electric Power University Jilin China

ISBN: (纸本)9781665414401

Most of the methods currently used to evaluate the reliability of integrated energy supply mainly consider such systems on a microgrid scale and focus on the effects of interactions among various energy carriers on the overall energy supply reliability of the system. As a result, it is difficult to analyze the system reliability in terms of its topology. Therefore, this paper proposes an approach for evaluating the reliability of a regional integrated energy system based on complex network theory. First, the feasibility of complex network theory application was analyzed based on the structural framework of the regional integrated energy system. Then, a weighted complex network model containing network characteristics was constructed by improving the “distance” parameter in the complex network theory. Employing this model enabled the proposal of reliability evaluation indices, including nodes and the entire system, from the perspective of the system network topology. Finally, the effectiveness and applicability of the developed method were verified by constructing a test system. The application of complex network theory for reliability evaluations of regional integrated energy systems described in this paper provides guidance for planning and constructing future systems at the level of topology reliability.

关键词： Couplings Complex networks Microgrids energy conversion Reliability theory Propagation losses Topology

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Interface algorithm development for PHIL simulations of MMC-HVDC devices via real-time impedance matching

Interface algorithm development for PHIL simulations of MMC-...

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作者： Jiang, Shouqi Li, Guoqing Xin, Yechun Wang, Lixin Wang, Weiru Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China

power hardware-in-the-loop (PHIL) simulation combines the advantages of digital and physical simulations, which is an effective method to study and analyse modular multi-level-converter-based high-voltage direct current (MMC-HVDC) technology. For the damping impedance method (DIM) interface algorithm, a real-time impedance matching method is proposed to improve the stability and accuracy of the PHIL simulation system. The equivalent impedance between the power interface and the MMC converter station is calculated according to the voltage difference and current between them, and the equivalent impedance parameters of MMC, in both de-blocking and blocking modes, are obtained by the Thevenin equivalent models;then the information of the hardware under test impedance is used to update the DIM interface algorithm. In addition, a compensation control method for interface delay is used to reduce the system error. The excellent performance of stability and accuracy is verified by digital simulation results, which show that the proposed DIM interface algorithm is able to keep the PHIL simulation system stable under different kinds of disturbances and the maximum relative error of the active power © 2019 Institution of Engineering and *** right reserved.

关键词： HVDC power transmission

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Distributed Coordinated Emergency Frequency control Strategy for renewables-Rich power systems Based on Multi-Agent Reinforcement Learning

SSRN

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SSRN 2025年

作者： Sun, Zhenglong Han, Junpeng Chen, Weihan Zhang, Rui Liu, Yong Levron, Yoash Belikov, Juri Department of Electrical Engineering Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China The Andrew and Erna Viterbi Faculty of Electrical & Computer Engineering Technion—Israel Institute of Technology Haifa3200003 Israel Department of Software Science Tallinn University of Technology Akadeemia Tee 15a Tallinn12618 Estonia

With the rapid growth of renewable energy in the power system and the implementation of large-capacity LCC-HVDC projects, the frequency support capability of the grid has been reduced. Simultaneously, the renewables-rich grid faces the risk of high-power shocks due to LCC-HVDC blocking. Existing centralized, single-measure approaches and the model-based emergency frequency control (EFC) methods are facing tremendous challenges. To fill this gap, this paper proposes a frequency emergency control method for renewables-rich grids that coordinates LCC-HVDC emergency power support and load shedding. The coordination of the two stabilization measures is modeled as a decentralized partially observable Markov decision process, and a multi-agent reinforcement learning (MADRL) approach is employed to optimize the power of measures for each stabilization control substation. An MADRL algorithm that integrates the system frequency response model is developed to overcome the problem of inaccurate evaluation of centralized action value in the MADRL algorithm used for EFC. This approach allows for the global optimization of the distributed coordination strategy through centralized training. The effectiveness and adaptability of the proposed method are demonstrated through simulations of the modified IEEE 39-bus system. © 2025, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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Short-term Photovoltaic Output Prediction Method Based on Similar Day Selection with Grey Relational Theory

Short-term Photovoltaic Output Prediction Method Based on Si...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zhang, Jiarui Zhong, Wuzhi Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China China Electric Power Research Institute Beijing China

ISBN: (纸本)9781728135205

With the rapid growth of Photovoltaic (PV) power capacity, how to improve the accuracy of PV output prediction becomes an intensive problem. This paper proposes a prediction model to reduce the error of prediction by combining gray correlation theory to select similar days with BP neural network. Firstly, the factors of weather between sample days selected as similar days and forecast days are calculated to find three similar days which have the highest relevance. After that, different weights are assigned to historical data of similar days according to the degree of relevance from large to small and back propagation (BP) neural network is combined to predict the output of PV. Finally, based on the actual measurement data of a photovoltaic power station in Northeast China, this paper validates the positive effects of this model on MATLAB simulation platform. Results show that selecting similar days by grey correlation and combining BP neural network can effectively improve the prediction accuracy of short-term PV output. © 2019 IEEE.

关键词： simulation platform

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Planning of active power distribution network based on source-network-load collaborative optimization

Planning of active power distribution network based on sourc...

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The 16th IET International Conference on AC and DC power Transmission (ACDC 2020)

作者： Z. Jiang Q. Yu A. Li Y. Xiong G. Long Y. Liu Ministry of Education (Northeast Electric Power University) Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Jilin 132012 China Tsinghua University State Key Laboratory of Power Systems Department of Electrical Engineering Beijing China

With the fast development of renewable energy generation, the randomness and volatility seriously threaten the stability of the power system. In order to improve the consumption rate of renewable energy and the economic benefit, the source-network-load collaborative optimization is put forward and widely used in the power system. And the active power distribution network which consists of the energy storage devices and flexible load is the best carrier to realize it. Based on the active power distribution network planning, this paper firstly designs an economic index covering construction cost and operation cost as the optimization objective. Then with the physical constraints consisting of the physical features of generation units, energy storage devices and flexible load, the source-network-load collaborative optimization model of active power distribution network is established. Finally, a case of city distribution network is presented to verify the effect of source-network-load collaborative optimization and the efficiency of the optimization model.

关键词： power distribution planning power distribution reliability distributed power generation power distribution economics renewable energy sources optimisation energy storage

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An Optimization Method Based on Time-Sharing energy Complementation to Determine Transmission Capacity of Wind-CSP Plants Combined system

An Optimization Method Based on Time-Sharing Energy Compleme...

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2019 IEEE PES Innovative Smart Grid Technologies Asia, ISGT 2019

作者： Cui, Yang Zhang, Huiquan Huang, Siyu Xu, Boyang Key Laboratory of Modern Power System Simulation and Control Renewable Energy Technology Ministry of Education Northeast Electric Power University Ji Lin China Shenzhen Power Supply Co.ltd Shenzhen China

ISBN: (纸本)9781728135205

Since northwest China has abundant wind and solar resources, constructing the concentrating solar power (CSP) plant near to the wind-generated electricity factory tend to a common form of energy exploiting. How to size for the capacity of the transmission line to meet the demand of delivery of the wind-concentrated solar power (CSP) plant system becomes an intensive problem. Based on the theory of time-sharing energy complementarity, this paper proposes a mathematical optimization model of the integrated output of Wind farm and CSP plant to suppress the power fluctuations. Then, by independently considering the impacts of the thermal storage capacity of CSP plant, the capacity optimization model of transmission line of wind power-CSP combined system is established. The case result demonstrates that the proposed method can reduce the investment cost of transmission line by reasonably configuring the thermal storage capacity of CSP. Moreover, the proposed strategy significantly improves the utilization rate of the transmission line and increases the comprehensive income of the joint generation system. © 2019 IEEE.

关键词： Concentrated solar power

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Generator model validation and parameter calibration based on PMU measurement data 3

Generator model validation and parameter calibration based o...

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3rd IEEE International Conference on energy Internet, ICEI 2019

作者： Zhang, Yanjun Jiang, He Gao, Kai Zhang, Jian Liu, Jiaqi Wang, Yupeng State Grid Liaoning Electric Power Co Ltd. Shenyang China Key Laboratory of Modern Power System Simulation and Control and Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin China

ISBN: (纸本)9781728114934

power system dynamic simulation is an important tool for us to master the dynamic behavior of power systems. It is very important to ensure the credibility of simulation results. Dynamic model validation and calibration has become one of the important applications of concern. In this paper, the method of using the dynamic data recorded by the phasor measurement unit (PMU) to improve the accuracy of the generator model is proposed, including model validation and model parameter id-entifycation. In model validation, the playback of the distur-bance event is used to simulate the response of the model for comparison with the measurement information of the PMU. If the simulation result is inconsistent with the actual mea-surements, the model parameters are not accurate. In the parameter identification step, the perturbation method is used to calculate the trajectory sensitivity of the parameter, and the problematic parameters causing the simulation error is iden-tified, then artificial intelligent method is used to automatically calib-ration the problematic parameters. Finally, other perturbation data is used to validate the credibility of the calibrated generator model, and the results obtained proved that the final calibration model is superior to the existing model. © 2019 IEEE.

关键词： Phasor measurement units

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