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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Kaixiang Yu Yan Zhao Jieyu Liu Xiaoxi Liu Chengze Li Tong Liu Qihang Zhao Bin Yuan School of Electric Power Shenyang Institute of Engineering Shenyang China Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China State Grid Liaoning Marketing Service Center Shenyang China Liaoning Hongcheng Power Supply Co. Ltd. Anshan China School of New Energy Shenyang Institute of Engineering Shenyang China

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

With the reform of the electricity market, the coupling relationship between sources and loads has gradually transformed into a complex competitive structure in which sources and loads interact with each other. The change of energy price will change the usage of load side, and the load usage will in turn affect the energy price. In order to better study the interaction between sources and loads, this paper introduces an energy distributor between the virtual power plant (VPP) and the user group, whose pricing strategy, which is higher than the feed-in tariff and lower than the time-of-use tariff, makes the energy distributor the first choice for the VPP to sell and the user group to buy. First, the revenues of the energy distributor and the VPP are modeled separately with the user groups' spending on purchasing energy as the objective function. Second, the game relationship between the revenues of energy distributors and VPPs and the spending of user groups is analyzed, and the Stackelberg game model is proposed to prove the existence and uniqueness of the equilibrium solution. Finally, the solution is carried out on Matlab by combining heuristic algorithm and solver. The results show that the game model proposed in this paper can not only effectively weigh the interests of energy distributors, VPPs and user groups, but also realize the win-win situation of energy distributors, VPPs and user groups, and provide an effective solution for comprehensive energy utilization.

关键词： Energy Internet Tariffs Games Optimal scheduling Pricing Virtual power plants Linear programming Mathematical models Main-secondary Load modeling

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Study on multi-timescale cascading failure in multi-infeed HVDC systems 5

Study on multi-timescale cascading failure in multi-infeed H...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Song, Kaige Wang, Xiaohui Xie, Zhenjian Li, Chen Chen, Qichao Wang, Fei Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China Economic and Technological Research Institute State Grid Jiangsu Electric Power Co. Ltd. Nanjing China State Grid Economic and Technological Research Institute CO . Ltd State Grid Corporation of China Bejing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With more power electronics deployed in power system, the propagation of cascading failure become more complex and it is necessary to investigate the mechanism of cascading failure in the novel power system. This paper reveals a new cascading failure mode in multi-infeed high voltage direct current (HVDC) systems. Firstly, the mechanism of multi-timescale cascading failure is proposed. Then the simulation results of multi-infeed HVDC systems which is carried out in power system department-Bonneville power administration (PSD-BPA) indicate that the dominant cascading failure modes in different timescales are different and they are coupling with each other. Finally, several dominant factors of different timescale cascading failure modes are pointed out. © 2022 IEEE.

关键词： Failure modes

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Predictive Optimal control of Grid-connected Photovoltaics to Support system Frequency 5

Predictive Optimal Control of Grid-connected Photovoltaics t...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Lu, Zhi Wang, Xiaohui Tian, Xu Wang, Shibin Zhang, Guihong Chen, Qichao Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Jinan China State Grid Qinghai Electric Power Company Economic Research Institute State Grid Corporation of China Xining China State Grid Economic and Technological Research Institute CO . Ltd State Grid Corporation of China Bejing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

With the high penetration of renewable energy in modern power systems, the necessity for photovoltaics (PVs) to support system frequency tends to be apparent. In view of limited available energy, the manner for PVs to participate the system supporting deserves studies. In this paper, a frequency supporting strategy of the grid-connected PVs based on optimal control and predictive algorithm is proposed. Considering the constraints of available energy and the objective to mitigate the frequency deviation, an optimization model is formulated to derive the optimal reference for PV outputs by Gauss pseudo-spectral method. On this basis, the model predictive control strategy is used to track the optimal reference curve, which is expected to demonstrate a better dynamic response. Finally, a simulation example is constructed in PSCAD/EMTDC to validate the correctness and the superiority of the proposed frequency supporting strategy for PVs. © 2022 IEEE.

关键词： Model predictive control

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Research on Dual-Layer Coordinated Optimization Scheduling Model of power system Based on Flow Battery for Renewable Energy Integration

Research on Dual-Layer Coordinated Optimization Scheduling M...

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Chinese control and Decision Conference, CCDC

作者： Xinwei Li Dianyang Li Zhuang Cai Zhi Zhou Guangdong Zhao Jian Feng Power System and New Energy Technology Research Center State Grid LiaoNing Electric Power Supply Co. LTD Electric Power Research Institute Shenyang China Power Dispatching Control Center State Grid Liaoning Electric Power Co. LTD Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

The integration of intermittent and fluctuating renewable energy sources such as wind and solar power into the power grid poses significant challenges for load balancing in the electricity system. To address the insufficient peak load regulation capability after the large-scale integration of renewable energy sources, a dual-layer coordinated optimization scheduling model is proposed by leveraging the rapidly evolving electrochemical energy storage device, namely the flow battery. In the first layer of the model, the objective is to enhance the overall peak load regulation capability of the power system by flattening load peaks and filling load valleys to improve the system's flexibility in load regulation and balance the supply-demand fluctuations. In the second layer of the model, the goal is to minimize the total cost of the power system operation while satisfying the optimization results of the first layer. This is achieved by re-planning the output of each component, including thermal power generation, renewable energy generation, and flow battery energy storage, to minimize the difference between costs and profits, thus reducing expenses. Finally, an improved IEEE 30-node system is used as a case study for simulation validation. The results demonstrate that with the integration of renewable energy sources, leveraging flow batteries for system load regulation enhances the overall peak load regulation capability and reduces the total cost of the system.

关键词： Renewable energy sources Costs Fluid flow Regulation power grids Batteries Thermal loading

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Optimization strategies for clearing the electric energy and FM market with combined thermal energy and storage

Optimization strategies for clearing the electric energy and...

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Chinese control and Decision Conference, CCDC

作者： Dianyang Li Junjie Sun Qingsong Zhao Huanyu Guo Yunning Feng Bowen Wang Power Dispatching Control Cener State Grid Liaoning Electric Power Co. LTD College of Information Science and Engineering Northeastern University Shenyang China Power System and New Energy Technology Research Center State Grid LiaoNing Electric Power Supply Co. LTD Electric Power Research Institute Shenyang China College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

As a new type of regulation resource with two-way regulation function, energy storage is increasingly involved in automatic generation control and has become the key to the future frequency modulation (FM) auxiliary service market. In this paper, we propose an optimization strategy for market clearing of electric energy and frequency modulation based on the combination of thermal storage, which uses the security constrained unit combination (SCUC) model to determine the unit output plan and storage charging and discharging plan, and is based on the security constrained economic dispatch (SCED) model, with the objective of minimizing the total cost of the electric power system for market clearing. The system frequency stability is maintained by adjusting the output of generating units in order to respond quickly to changes in the system frequency. In this paper, we study the issues related to the participation of solo energy storage in the electric energy and frequency modulation market, including the market demand for frequency modulation auxiliary services, resource allocation strategy, security constrained unit combination (SCUC), and security constrained economic dispatch (SCED), etc., and utilize the data of frequency modulation auxiliary services provided by each unit in the power system to calculate the frequency modulation mileage and the capacity clearing price of each unit, as well as to construct the arithmetic example and evaluate its feasibility and economic benefits.

关键词： Frequency modulation power system stability Regulation Security Thermal loading Thermal energy Optimization

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RESEARCH ON THE PID PARAMETER SELF-TUNING OF THE PRESSURIZER control system OF NUCLEAR power PLANT 29

RESEARCH ON THE PID PARAMETER SELF-TUNING OF THE PRESSURIZER...

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2022 29th International Conference on Nuclear engineering, ICONE 2022

作者： Wang, Hongrui Xing, Kunpeng Zou, Tao Yang, Zhijia Wang, Jingyang Zhang, Pengbin State Key Laboratory of Robotics Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China China Nuclear Power Engineering Co. Ltd Shenzhen China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9780791886373

The pressurizer is an essential part of the safe operation of the nuclear power plant. It contains both the steam phase and the liquid phase, which requires simultaneous control of the pressure and water level, and the control system is strongly coupled. When using the PID control method, it is difficult to tune the parameters, and the difficulty is exacerbated when the set value fluctuates. This paper aims at the multi-input and multioutput pressurizer control system, based on the particle swarm optimization to realize the PID controller parameters self-tuning, adopting the time and absolute error integral as the fitness function to evaluate the merits of the PID parameters, and constantly iterating to update and obtain the PID parameters that better satisfy the current working conditions. For coupled pressurizer control systems, the PID parameter tuning method using particle swarm optimization algorithms can give a group of PID controller parameters that make the system operation stable despite the frequent fluctuation of the set value, and compared with the traditional PID controller parameter tuning method, this method can realize the PID parameter self-tuning, eliminating the trouble of manual tuning. Copyright © 2022 by ASME.

关键词： Nuclear power plants

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A NOVEL PID SELF-TUNING METHOD BASED ON CLOSED-LOOP IDENTIFICATION USED IN NUCLEAR power PLANTS 29

A NOVEL PID SELF-TUNING METHOD BASED ON CLOSED-LOOP IDENTIFI...

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2022 29th International Conference on Nuclear engineering, ICONE 2022

作者： Zhang, Pengbin Xing, Kunpeng Zou, Tao Yang, Zhijia Wang, Jingyang Wang, Hongrui State Key Laboratory of Robotics Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China China Nuclear Power Engineering Co. Ltd Shenzhen China College of Mechanical and Electrical Engineering Guangzhou University Guangzhou China Key Laboratory of Networked Control System Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9780791886472

Nuclear power is one of several significant clean energy and its production capacity is increasing rapidly. This paper proposed a novel PID self-tuning method based on closed-loop identification used in nuclear power plants to deal with the turbine's load tracking problem. A setpoint-shifting method is adopted to achieve the informativity of the closed-loop system, and the PID parameters are designed through an optimization method. For validating the proposed method, this paper modeled a pressurized-water reactor (PWR) nuclear power plant, a complex system consisting of three circuits, through the first principle. The primary circuit contains three main devices: a nuclear reactor, a pressurizer, and a steam generator. The models of these three devices are provided by previous literature separately. The whole model is generated through mass and energy balance. This mechanism model is used as the plant model, while the identified model is used as the control model. The initial PID parameters are set through open-loop identification using an external excitation. Then the proposed method works online to track the turbine's load in time. The effectiveness of the proposed method is illustrated by simulations. Copyright © 2022 by ASME.

关键词： Nuclear power plants

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Multiple Cross-Attention and Multi-Task Learning Based Model for Multi-Energy Load Forecasting with Hybrid Time Granularities

SSRN

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SSRN 2024年

作者： Zhang, Yunfei Shen, Jun Li, Jian He, Dawei Chen, Xu Liu, Danyang School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China Sichuan Energy Internet Research Institute Tsinghua University Chengdu610213 China

Accurate multi-energy load forecasting is the premise of on-demand energy supply, which plays an important role in scenarios of integrated energy system, etc. Although several related studies have been carried out, little attention has been paid to different forecasting demands of various loads, and the accuracy needs to be further improved. Therefore, a new multi-energy load forecasting model based on multiple cross-attention and multi-task learning is proposed in this paper to handle loads with hybrid time granularities, and achieve higher accuracy and more balanced forecasting performance. The proposed model mainly consists of time granularity preprocessing module, Informer expert module and multiple cross-attention module. Comparative experiments are conducted to verify the superiority of the proposed model. Results show that the introduction of multiple cross-attention module can reduce the root mean square errors by 8.08%- 67.05% and the imbalance index by 79.17%. The Informer expert also has better robustness and stability, and the root mean square errors can be reduced by more than 30.09% compared with other experts. In comparison with other mainstream models, the proposed model performs better than the Multi-gate Mixture-of-Experts based models and other single models on multi-energy load forecasting tasks, which verifies the advancement of the proposed model. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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LVRT During-fault-stage Equilibrium Point is Unnecessary for Renewable Grid-tied systems

LVRT During-fault-stage Equilibrium Point is Unnecessary for...

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power system and Green Energy Conference (PSGEC)

作者： Yayao Zhang Min Cheng Meng Zhan Jiawei Yu Yihua Zhu Mingkang Wu State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan China Yunnan Power Grid China State Key Laboratory of HVDC Electric Power Research Institute China Southern Power Grid China National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Electric Power Research Institute China Southern Power Grid China

ISBN: (数字)9798350365573

ISBN: (纸本)9798350365580

Transient synchronous stability of renewable grid- tied systems is of paramount importance. Most of previous studies focused on the grid-tied converter in the low voltage ride through (LVRT) during-fault stage and performed stability analysis based on the belief that if the system has (or has no) a stable equilibrium point in the during-fault stage, the system will be stable (or unstable). Therefore, it has been broadly accepted that the existence and/or stability of equilibrium point in the during-fault stage is necessary. However, the whole LVRT contains four different stages and the during-fault stage is only one among them. The transient synchronous stability of whole system should be determined by the initial state in the late post-fault stage and the attraction basin of its equilibrium point. The late post-fault stage is essential for stability and all four stages are important. Clearly treating the during-fault stage as the whole LVRT stages makes the nonlinear switched dynamics problem be greatly simplified and, certainly, is incomplete. In order to clarify this point, this paper analyzes the influence of existence (or nonexistence) of equilibrium point in the during-fault stage on the transient synchronous stability of permanent magnet synchronous generator grid-tied system. We can find that the existence of an equilibrium point in the during-fault stage is only a sufficient condition, rather than a necessary condition. The theoretical analysis is also verified in the hardware-in-the-loop experiment Therefore, a large number of previous studies and results on the transient synchronous stability of renewable grid-tied systems are incomplete and questionable.

关键词： Sufficient conditions Stability criteria Switches Voltage power system stability Synchronous generators Permanent magnets Nonlinear dynamical systems Transient analysis Magnetic switching

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Conflict Mechanism Analysis Method for Electric Vehicles Participating in Multiple Types of power Grid Ancillary Services

Conflict Mechanism Analysis Method for Electric Vehicles Par...

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International Conference on power system Technology (powerCON)

作者： Yinjuan Xue Qifang Chen Haiqing Cai Mingchao Xia Haohan Gu School of Electrical Engineering Beijing Jiaotong University Beijing China State Key Laboratory of HVDC Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System CSG Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid National Energy Power Grid Technology R&D Centre Electric Power Research Institute China Southern Power Grid Guangzhou China

As the high-quality flexible resource of the grid, electric vehicles (EVs) can provide multiple auxiliary services for the grid at the same time. However, due to the one-way charging and discharging of EVs, as well as the limitation of power and capacity, which may cause availability conflicts when EVs participate in different auxiliary services simultaneously. This paper focuses on the analysis of the conflict mechanism of EVs participating in the secondary frequency regulation and peak shaving ancillary services at the same time. The impact mechanism between different auxiliary services in this conflict mode is revealed from the two aspects of limit conflict and charging and discharging instruction conflict, and the results of availability conflict of the two types of auxiliary services are verified and analyzed through simulation examples.

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