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Integrated Planning of Charging Piles and Battery Swapping Stations Considering Spatiotemporal Distribution of Electric Vehicles

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CSEE Journal of power and Energy systems 2022年第3期11卷 1236-1252页

作者： Liang Zhang Ruyi Huo Guowei Cai Koh Leong Hai Ling Lyu Peng Wang Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China Energy Research Institute Nanyang Technological University Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore

With the rapid adoption of electric vehicles (EVs), more charging and battery swapping facilities are needed to meet growing demand. However, a single type of charging or swapping facility cannot simultaneously and efficiently satisfy the power supply requirements of diverse vehicle types. In order to solve this problem, a joint planning method of charging piles and charging-battery swapping stations (CBSSs) is proposed in this paper. In this method, the influence of geospatial constraints on the layout scale of charging piles is considered, and the Monte Carlo simulation method is used to predict the spatiotemporal distribution of charging and battery swapping demands of private electric vehicles (PEVs) and the battery swapping demands of taxi electric vehicles (TEVs) respectively. On this basis, the layout scale of charging piles of each functional area is determined during the maximum charging demand period in a day to meet the demands of PEVs for charging convenience. Then, an operating state model of CBSS is established for calculation of the objective function. At the same time, a planning model of CBSSs is established to minimize the annual social comprehensive cost, which takes into account the economy of CBSSs and the battery swapping convenience of EVs. The planning of CBSSs can meet the demands of TEVs and some PEVs for a rapid power supply. Finally, using the urban transportation network of Changchun and IEEE 33-node system as an example, the planning of charging piles and CCBSs in direct charging mode and peak shifting mode are simulated and analyzed. The simulation results show that the proposed method enables PEVs and TEVs to access convenient and rapid power supply, and the planning result of CBSSs in direct charging mode is more economical, while peak shifting mode is more conducive to the safe operation of distribution networks.

关键词： Batteries Planning Charging stations Decision making Costs Electric vehicles Capacity planning

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Load Frequency control of Multi-area power system with Wind power Based on EMPC

Load Frequency Control of Multi-area Power System with Wind ...

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第33届中国过程控制会议

作者： Jing Cui Yumei Li Miaomiao Ma School of Control & Computer Engineering North China Electric Power University State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University

This paper proposes an optimal control strategy based on economic model predictive control(EMPC) for the load frequency control(LFC) problem of multi-area interconnected power system considering wind *** dynamics model of multi-area interconnected power system with wind power is introduced,which considers the state constraints and the control input *** proposed method takes economic performance indices into account that include LFC,fuel loss cost,and wind generation *** evaluate the performance of the proposed EMPC controller,the simulation studies are compared with traditional *** results and analysis show the effectiveness of the proposed method in terms of system frequency regulation and economic performance.

关键词： Economic model predictive control wind power load frequency control multi-area power system

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Distributed Nash Equilibrium Seeking for Aggregative Games with Mismatched Disturbances

Distributed Nash Equilibrium Seeking for Aggregative Games w...

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第34届中国控制与决策会议

作者： Qi Wang Feng Xiao Bo Wei State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University School of Control and Computer Engineering North China Electric Power University

In this paper,we focus on the distributed Nash equilibrium seeking problem for aggregative games for players described by double-integrator *** player in the game is subject to unknown mismatched time-varying *** solve the Nash equilibrium seeking problem with mismatched disturbances,a distributed Nash equilibrium seeking algorithm is *** aggregative games,the proposed algorithm guarantees the convergence of strategies of players to the Nash equilibrium of aggregative games and suppresses the influence of mismatched disturbances.

关键词： aggregative games double-integrator mismatched disturbance Nash equilibrium seeking

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Study on the thermal-electrical balance of the kW-class SOFC stack 17

Study on the thermal-electrical balance of the kW-class SOFC...

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17th International Symposium on Solid Oxide Fuel Cells, SOFC 2021

作者： Li, Biao Lyu, Zewei Han, Minfang Sun, Kaihua Sun, Zaihong Liu, Yang Department of Energy and Power Engineering State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Tsinghua University Beijing100084 China Xuzhou Huatsing Jingkun Energy Co. Ltd. Jiangsu Province 221004 China

ISBN: (纸本)9781607685395

Heat and electricity are deeply coupled in solid oxide fuel cell (SOFC) stacks, and the balance and control between them are vital to the steady working condition and outputs. Therefore, studying the balance mechanism of heat and electricity is important to achieve the safe and stable operation of the SOFC stacks. In this paper, a semi-empirical simulation model of a kilowatt-level SOFC stack was established. Based on this model, the effects of different operating temperatures, flow rates, air to H2 ratios (AHR), and steam to carbon (S/C) ratios on the thermoelectric balance state of the SOFC stack were analyzed. Results show that the I-V curve can be separated into three parts: unbalance zone, unsustainable zone, and the self-heat balance zone by the self-heat balance voltage (SHBV) and the critical voltage (CV). The approximate voltage scope of the balance zone under different conditions is 0.6~0.9 V. © 2021 Electrochemical Society Inc.. All rights reserved.

关键词： Specific heat

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Optimization of emergency load shedding employing social learning-based PSO

Optimization of emergency load shedding employing social lea...

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2021 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2021

作者： Xie, Yongsheng Feng, Changyou Gai, Chenhao Li, Changgang State Grid Xinjiang Electric Power Corporation Xinjiang Urumqi China State Grid Corporation of China Beijing China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education China Shandong Jinan China

ISBN: (纸本)9781665439602

Emergency load shedding (ELS) is an essential measure to prevent power system accidents from expanding. Economy and security need to be optimized comprehensively for ELS. In this paper, an ELS optimization model is established, which takes the minimum load shedding amount as the objective function and the transient angle security, transient voltage deviation acceptability, transient frequency deviation acceptability, maximum controllable load as constraints. The social learning-based particle swarm optimization (SL-PSO) algorithm is proposed to solve the ELS optimization problem, which adopts adaptive parameters. The portable and open-source power system dynamic simulation toolkit (STEPS) is used for numerical simulation to check the feasibility of the solution. Finally, the efficiency of the solution is improved by parallel computing. The proposed model and algorithm are validated with the IEEE 39 bus test system. © 2021 IEEE.

关键词： Particle swarm optimization (PSO)

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Extended Load Flexibility of Utility-Scale P2H Plants: Optimal Production Scheduling Considering Dynamic Thermal and HTO Impurity Effects

arXiv

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arXiv 2023年

作者： Qiu, Yiwei Zhou, Buxiang Zang, Tianlei Zhou, Yi Chen, Shi Qi, Ruomei Li, Jiarong Lin, Jin College of Electrical Engineering Sichuan University Chengdu610065 China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing100087 China

In the conversion toward a clear and sustainable energy system, the flexibility of power-to-hydrogen (P2H) production enables the admittance of volatile renewable energies on a utility scale and provides the connected electrical power system with ancillary services. To extend the load flexibility and thus improve the profitability of green hydrogen production, this paper presents an optimal production scheduling approach for utility-scale P2H plants composed of multiple alkaline electrolyzers. Unlike existing works, this work discards the conservative constant steady-state constraints and first leverages the dynamic thermal and hydrogen-to-oxygen (HTO) impurity crossover processes of electrolyzers. Doing this optimizes their effects on the loading range and energy conversion efficiency, therefore improving the load flexibility of P2H production. The proposed multiphysics-aware scheduling model is formulated as mixed-integer linear programming (MILP). It coordinates the electrolyzers’ operation state transitions and load allocation subject to comprehensive thermodynamic and mass transfer constraints. A decomposition-based solution method, SDM-GS-ALM, is followingly adopted to address the scalability issue for scheduling large-scale P2H plants composed of tens of electrolyzers. With an experiment-verified dynamic electrolyzer model, case studies up to 22 electrolyzers show that the proposed method remarkably improves the hydrogen output and profit of P2H production powered by either solar or wind energy compared to the existing scheduling approach. Copyright © 2023, The Authors. All rights reserved.

关键词： Profitability

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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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Harmonic/Inter-harmonic Detection Method Based on Variational Mode Decomposition and Hilbert Transform

Harmonic/Inter-harmonic Detection Method Based on Variationa...

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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Quanzheng Li Xinfu Pang Donglai Wang Key Laboratory of Regional Multi-Energy System Integration and Control of Liaoning Province Shenyang Institute of Engineering Shenyang China Tieling Power Supply Company State Grid Liaoning Electric Power Co. Ltd. Tieling China

In order to improve the detection accuracy of harmonics/inter-harmonics in power harmonic signals, a new harmonic detection method based on the combination of variational mode decomposition (VMD) and Hilbert transform (HT) is proposed. The intrinsic mode functions (IMF) are obtained by decomposing the harmonic signal using VMD, Then the characteristic parameters of each order IMF component, including instantaneous amplitude, instantaneous frequency and instantaneous energy, are obtained by combining HT transform. simulations of four harmonic detection methods, such as VMD-HT, EEMD, HHT and FFT, are performed. The simulation results show that the VMD-HT method effectively overcomes the defects of HHT and FFT, which are sensitive to noise, in harmonic detection, and removes noise to a greater extent, which is conducive to improving the recognition accuracy and precision and better meets the practical application requirements.

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Reliability Evaluation of Distribution Grid Considering Flexible Grid Connection of Distributed Photovoltaic 2

Reliability Evaluation of Distribution Grid Considering Flex...

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2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021

作者： Li, Zecheng Sun, Yanying Feng, Chen State Grid Ningxia Electric Power Research Institute Yinchuan China School of Mechanical Electronic and Information Engineering Beijing100083 China Shandong University The Key Laboratory of Power System Intelligent Dispatch and Control Jinan China

ISBN: (纸本)9781665437578

Aiming at the problem that the flexible access of distributed photovoltaics to the distribution network affects its reliability, this paper establishes a model of the distributed photovoltaic output probability based on the typical output characteristics of distributed photovoltaics firstly. Subsequently, the power grid risk assessment indicators are determined to facilitate the quantification of distribution network risks, including voltage over-limit, power over-limit, and load loss risk indicators. Finally, a distribution network model containing distributed photovoltaic grid-connected is established on the MATLAB simulation platform, and the risk assessment of the distribution network containing distributed photovoltaic grid-connected is carried out. © 2021 IEEE.

关键词： Risk assessment

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