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power coordinated strategy of vehicle-to-microgrid integrated hybrid AC/DC microgrids considering electric vehicles as flexible energy storage

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Sustainable Energy, grids and Networks 2025年 43卷

作者： Wang, Hao Yan, Jiawei Kang, Boyang School of Electrical Engineering and Automation Henan Polytechnic University Jiaozuo China Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment Jiaozuo China Jiaozuo Power Supply Company State Grid Henan Electric Power Company Jiaozuo China

Increasing adoption of electric vehicles (EVs) entrance to hybrid ac/dc microgrids (HMGs) would provide flexible energy storage sources (FESSs) to perform vehicle-to-microgrid (V2MG) operation. However, especially in islanded mode, the state of charge (SOC) of traditional energy storage unit (ESU) approaching the critical value of charge/discharge would inevitably lead to unreliable power supply. To solve this problem, a power coordinated strategy of V2MG integrated HMGs considering EVs as FESSs is proposed in this paper. First, a joint energy storage sources (JESSs) dynamic grouping method is presented for traditional ESU and scaled electric vehicle groups (EVGs) within HMGs containing multiple subgrids, which divides ESU and EVGs into panels and sets at the same time scale. Then, the operation modes and conditions of HMGs are classified according to the power surplus/deficient state of each subgrid. Further, this paper designs response priority based on real-time grouping of JESSs to balance the SOC of ESU and formulates power coordination control strategies for abnormal SOC of ESU and subgrid power overlimit, among which the FESSs provide auxiliary service for system power regulation. Finally, the results of the simulation analysis show that the proposed strategy can achieve coordinated regulation of traditional ESU and EV as FESSs in islanded microgrids, reducing the system's dependence on traditional ESU and improving the power supply reliability of microgrid systems. © 2025 Elsevier Ltd

关键词： Hybrid vehicles

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Analysis of Commutation Failure in LCC-HVDC Systems During Unbalanced Conditions Using Sequence Components

Analysis of Commutation Failure in LCC-HVDC Systems During U...

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International Conference on power System Technology (powerCON)

作者： Ahmed Omer Xiaohui Wang Zhenjian Xie Chen Li Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education School of Electrical Engineering Shandong University Jinan China State Grid Jiangsu Electric Power Co. Ltd. Economic and Technological Research Institute Nanjing China

ISBN: (纸本)9781665407380

This paper takes close research on the impact of unbalanced faults in the occurrence of Commutation Failure (CF) in LCC-HVDC inverters, by finding the probability of CF with the phase shift that takes place in case of unbalanced faults. The analyses of the unbalanced system are conducted by using sequence components, a relationship between the phase shift and unbalance ratio is implemented to describe the degree of unbalance in the system. The unbalance ratio is used to quantify the amount of the phase shift that will cause CF in the system, and the probability of CF with respect to unbalance ratio is obtained. Moreover, a mathematical model is implemented to calculate the critical amount of unbalance degree that will cause CF in the system, with different faults applied, the relationship between commutation failure and phase shift is obtained. The mathematical model is verified using PSCAD/EMTDC.

关键词： Fault diagnosis Mathematical models Inverters power systems

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Reliability Evaluation of Distribution grid Considering Flexible grid Connection of Distributed Photovoltaic

Reliability Evaluation of Distribution Grid Considering Flex...

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International Conference on Electronics, Communications and Information Technology (CECIT)

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

ISBN: (纸本)9781665437585

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.

关键词： Photovoltaic systems Fluctuations Distribution networks power grids Mathematical models Permeability Information and communication technology

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Resilient Distributed Predefined Time Secondary control for Cyber-Physical Microgrids

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IET Renewable power Generation 2025年第1期19卷

作者： Junfeng Tan Fan Zhang Yanlu Huang Shuai Zhao Hongyu Su China Southern Power Grid Digital Grid Research Institute Co. Ltd. China Southern Power Grid Artificial Intelligence Technology Co. Ltd. Guangzhou China School of Artificial Intelligence and Automation and Technology and also with the Key Laboratory of Image Processing and Intelligent Control Ministry of Education Huazhong University of Science and Technology Wuhan China

This paper proposed a resilient distributed predefined-time sliding mode control for islanded AC microgrids with external disturbances caused by noisy circumstances or cyber-attacks. By utilizing the predefined-time convergence theory, the voltage regulation and frequency restoration as well as active power sharing can be achieved within a predefined time, which is directly equal to an adjustable parameter. Furthermore, based on the integral sliding mode control approach, the proposed method can completely compensate the external disturbance. Different from some voltage control methods based on complex second-order consensus, a novel secondary controller is designed by adopting the virtual control technique, such that the voltage regulation can be achieved under a first-order consensus with a corresponding tracking controller. In addition, the direct Lyapunov method is utilized to prove the stability of islanded AC microgrids under the proposed controller, and the analysis of predefined-time convergence is also given. Finally, case studies on a microgrid test system with four distributed generator is built in the MATLAB/SimpowerSystems software environment are conducted to demonstrate the effectiveness and superior performance of the proposed control scheme.

关键词： distributed power generation Microgrids robust control

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Distributionally Multi-level Co-optimization Dispatch Considering Primary and Secondary Frequency Regulation

Distributionally Multi-level Co-optimization Dispatch Consid...

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

作者： Ji, Xingquan Zhang, Yumin Ye, Pingfeng Han, Xueshan Xu, Bo Yin, Ziyang Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Energy Research Institute Co. Beijing China

ISBN: (纸本)9781728143033

Distributed energy resource (DER) including wind power, solar energy and energy storage system (ESS) are connected to the active distribution network (ADN) in various combination ways, which makes the distribution network have interaction. As a bridge connecting the transmission grid (TG) and micro grid (MG), ADN breaks the traditional operation pattern of TG+ADN+MG. Considering the physical connections and shared information among TG, ADN and MG, this paper proposes a decentralized and parallel analytical target cascading (ATC) algorithm for TG+ADN+MG multi-level co-optimization dispatch considering primary and secondary frequency regulation. To explore the synergistic ability of the TG+ADN+MG coping with uncertainties of DER, i.e., wind power, the primary and secondary frequency regulation of TG are implemented to cope with uncertainties. Furthermore, the distributional uncertainties of wind power and load are well modeled by data driven, which is proposed in our previous work [1]. An improved 6-bus system is used to test the proposed model, the numerical results illustrate the effectiveness and efficiency of the proposed method. © 2020 IEEE.

关键词： Wind power

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Multi-objective Planning of Soft Open Point in Active Distribution Network Based on Bi-level Programming

Multi-objective Planning of Soft Open Point in Active Distri...

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2019 IEEE PES Innovative Smart grid Technologies Asia, ISGT 2019

作者： Zhang, Shenxi Zhang, Libo Li, Ke Zhang, Heng Lyu, Jiawei Cheng, Haozhong Key Laboratory of Control of Power Transmission and Conversion Shanghai Jiao Tong University Ministry of Education Shanghai China State Key Laboratory of Power Grid Safety and Energy Conservation China Electric Power Research Institute Beijing China East China Electric Power Dispatching Control Sub-Center of State Grid Shanghai China

ISBN: (纸本)9781728135205

The application and integration of soft open point (SOP) can benefit the operation of active distribution network a lot. This paper proposes a multi-objective SOP planning methodology in active distribution network. The multi-objective SOP planning model is established based on the bi-level programming. The upper level model is solved by the nondominated sorting genetic algorithm-II. The lower level model is transferred to a second-order cone model by using convex relaxation, and it is solved by second-order cone programming method. The modified IEEE 33-bus active distribution network is used to test and validate the effectiveness of the proposed bilevel multi-objective SOP planning method. © 2019 IEEE.

关键词： Second-order cone programming

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Multi-Objective Optimization of Energy Storage Station Configuration in power grids Considering the Flexibility of Thermal Load control

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Energies 2025年第10期18卷 2527-2527页

作者： Kaikai Wang Yao Wang Jin Gao Yan Liang Zhenfei Ma Hanyue Liu Zening Li Energy Internet Key Laboratory of Shanxi Province Taiyuan 030024 China State Grid Shanxi Electric Power Company Economic and Technological Research Institute Taiyuan 030024 China Key Laboratory of Cleaner Intelligent Control on Coal & Electricity Ministry of Education Taiyuan University of Technology Taiyuan 030024 China

Given that traditional grid energy storage planning neglects the impact of power supply demand on the effectiveness of storage deployment, the resulting system suffers from limited operational economic performance and restricted renewable energy integration capability. In response to this challenge, this paper presents a multi-objective optimization approach for configuring a distribution network energy storage station (ESS) by incorporating the flexibility of temperature-controlled loads. This approach aims to enhance the efficiency of energy storage utilization, facilitate the local consumption of renewable energy (RE), and achieve mutually beneficial outcomes for both energy providers and consumers. Firstly, a controllable load model for the distribution network was developed, incorporating power balance constraints and the flexibility of temperature-controlled loads. Additionally, an ESS model was formulated, taking into account economic considerations and other influencing factors to ensure optimal deployment and operation. Secondly, this paper introduces a multi-objective optimization strategy for a distribution network ESS, targeting the minimization of both the microgrid operating costs and energy storage allocation costs. The proposed model was solved using the POA-GWO-CSO optimization algorithm to achieve the optimal energy storage deployment and cost efficiency. Finally, the effectiveness of the proposed model was verified through case analysis. The results demonstrate that the proposed grid energy storage optimization configuration model not only satisfies the requirements of both parties, but also enhances the overall system economic performance.

关键词： temperature-controlled load flexibility energy storage station POA-GWO-CSO algorithm multi-objective optimization

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A Multi-factor control System in Greenhouse Based on The Internal Incremental PID Algorithm

A Multi-factor Control System in Greenhouse Based on The Int...

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Electronic Information Technology and Smart Agriculture (ICEITSA), International Conference on

作者： Hongjun Niu Xianghui Liao Yingqian Dai Cong Hu Liubo Zhang Shuangxu Chen Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province School of Electrical and Information Engineering Huaihua University Huaihua China State Grid Yueyang Power Supply Company Yueyang Hunan Province China

ISBN: (纸本)9781665413015

Aiming at the three elements of temperature/humidity/light in the greenhouse, a set of intelligent control system based on internal incremental PID control algorithm is designed. Incremental PID takes the variation of output as the transmission signal, which is based on the last output result. It only needs to collect three consecutive signals to perform precise and efficient control, avoiding repeated integration operations based on the traditional position PID control algorithm. After simulation and analysis, the design scheme based on the internal incremental PID control algorithm is much better than the traditional position PID control algorithm in terms of response speed and sampling frequency.

关键词： Temperature sensors Temperature measurement PI control Software algorithms Green products Position measurement Software

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Modeling and Analysis of Industrial power Load Based on Measured Data

Modeling and Analysis of Industrial Power Load Based on Meas...

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作者： Zhang Yan Wang Huajia Yu Danwen Zhang Gaofeng Li Weichao State Grid Shandong Electric Power Research Institute Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University

With the rapid development of electronic technology, the construction of smart grids has been accelerated. Establishing an accurate load model is of great significance to the stability of distribution network system. Some large-capacity installations with more harmonics and impact, such as electric arc furnaces and wind farm are connected to the grid, which has a serious impact on the power quality of the distribution network. This paper adopts a method of industrial load modeling based on the fitting of measured data, selects electric arc furnace and aluminum rolling mill as typical industrial loads, establishes its model through fitting the measured data,which proves the reliability and accuracy of the load model.

关键词： Modeling and Analysis of Industrial power Load Based on Measured Data

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Maintenance Optimization for Combined Heat and power Unit Based on Opportunistic Maintenance Strategy

Maintenance Optimization for Combined Heat and Power Unit Ba...

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

作者： Zhang, Yumin Ji, Xingquan Yu, Yixiao Xu, Bo Han, Xueshan Zhang, Lin Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Jinan China State Grid Energy Research Institute Co. Beijing102209 China

ISBN: (纸本)9781728143033

Integrated energy system is composed of different multiple energy systems. When the combined heat and power (CHP) unit fails, more than one energy systems can be influenced. Therefore, it is very important to improve the reliability of CHP unit. In this paper, we propose a maintenance decision making model for CHP unit based on opportunistic maintenance strategy. Firstly, the expression of the availability of CHP unit considering opportunistic maintenance is derived. And then, in order to quantify the impact of different maintenance strategies on system operation, system operation risk is given taking electrical load loss and thermal load loss into account. Finally, maintenance decision making model of the CHP unit is established with maintenance constraints. Case studies show that the model can optimize maintenance strategies and improve the reliability of CHP unit and the overall system efficiency. © 2020 IEEE.

关键词： Decision making

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