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SSRN 2024年

作者： Zhang, Runtao Wang, Lei Zeng, Siming Cheng, Ziwei Su, Can Li, Zhiwei Zhang, Hao State Grid Hebei Electric Power Research Institute Shijiazhuang China Hebei Key Laboratory of Simulation Modeling and Control for Energy Internet Shijiazhuang China State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Baoding071003 China

Distributed photovoltaic systems can actively contribute to the primary frequency regulation of the power grid by reserving capacity. Traditional power reduction methods often employ fixed load reduction ratios, potentially resulting in inadequate frequency regulation capacity and unnecessary reserve power. This paper centers on optimizing power reserve control, starting with the construction of a two-stage model for a photovoltaic grid-connected inverter power generation system. It includes the design of a maximum power estimation method and the implementation of photovoltaic power reduction operation. The article proposes a strategy to utilize photovoltaic backup capacity for achieving primary frequency modulation effects in a short time scale. Additionally, it adopts a variable power reserve ratio operation strategy over the long term, aiming to enhance photovoltaic power generation and optimize solar energy utilization without compromising the grid's frequency and quality. Finally, a MATLAB/Simulink model is developed to validate the effectiveness of the control strategy. simulation results indicate that the proposed strategy satisfies frequency regulation requirements, enhances power generation efficiency, and improves the economic viability of photovoltaic operations. © 2024, The Authors. All rights reserved.

关键词： Frequency modulation

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SOC Balancing Strategy for Parallel-connected power Conversion system based on PQ decoupling control 20

SOC Balancing Strategy for Parallel-connected Power Conversi...

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20th International Conference on AC and DC power Transmission 2024, ACDC 2024

作者： Xiong, Ziyi Chen, Aizuo Zhou, Yanglin Wang, Jinyu Ci, Song Department of Electrical Engineering Tsinghua University Beijing100084 China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing100084 China School of Electrical Engineering Xi'an Jiaotong University Xi'an710000 China

ISBN: (纸本)9781837242672

Nowadays the battery energy storage system (BESS) plays a significant role in power grid due to its excellent function in energy regulation. In most cases, BESS connects to the power grid through power Conversion system(PCS). However, the state of charge (SOC) of different battery modules tend to be different during the working process. The difference between SOC would intensify buckets effect, and the performance of BESS would be degraded due to the abnormal feature (low SOC) of single battery cell. To avoid such shortcoming, it is necessary to eliminate the difference of SOC though control strategy. In this paper, we propose a SOC balancing strategy for parallel-connected power conversion system based on PQ decoupling control, which can also adjust the active power output of each battery module converge to optimization solution. simulation and experimental results from a 2u 700V, parallel-connected power converter system are presented in order to validate the method. © The Institution of Engineering & Technology 2024.

关键词： Battery management systems

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Zoning Voltage Coordination control Method for High Proportion Distributed Photovoltaic power in Distribution Network

Zoning Voltage Coordination Control Method for High Proporti...

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Energy Engineering and power systems (EEPS), International Conference on

作者： Bing Xue Yanfeng Ge Chuang Li Niankang Guo Chenglian Ma Dawei Huang State Grid Yingkou Power Supply Company State Grid Liaoning Electric Power Co. LTD Yingkou Liaoning China Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education (Northeast Electric Power University) Jilin China

ISBN: (数字)9798350375138

ISBN: (纸本)9798350375145

The high penetration of distributed photovoltaic generation into distribution networks has become a major development trend in the future. However, the intermittency and random fluctuations of distributed photovoltaic output have exacerbated voltage violation and fluctuation issues in distribution networks. To address this problem, a distribution network zoning voltage coordination control strategy is proposed. In terms of zoning, voltage sensitivity index information obtained from daily power flow calculations is utilized to analyse and express the impact variation of photovoltaic generation on the voltage of each node. Based on the threshold requirements of voltage variation indices, the zoning of nodes is determined. In terms of zoning voltage coordination control, a strategy of voltage sensitivity control within the partition is adopted, pairing nodes within each partition and utilizing the active and reactive regulation capabilities of photovoltaic generation to control all over-limit voltage within normal range. Furthermore, through the interval distributed voltage coordination control strategy, the interval state variables are equivalenced, and based on the SADMM algorithm, the dynamic reactive power compensation amount between adjacent partitions is optimized to achieve the optimization and suppression of network-wide voltage fluctuations. Taking the IEEE 33-node system as an example, a case study was conducted to verify the effectiveness and feasibility of the proposed strategy in practical applications.

关键词： Photovoltaic systems Reactive power Fluctuations Voltage fluctuations Sensitivity Distribution networks Regulation Indexes Voltage control Optimization

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Analysis of Subsynchronous Torsional Vibration of Wind-Thermal Bundling Delivery system via LCC-HVDC

Analysis of Subsynchronous Torsional Vibration of Wind-Therm...

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China International Electrical and Energy Conference (CIEEC)

作者： Yue Zhao Gangui Yan Zhenyang Wang Shuang Ren Dazhong Wang Jianyu Guo dept. Ministry of Education Key Laboratory of Modern Power System Simulation control and Green Power Technology Northeast Electric Power University Jilin China

Recently, Wind-thermal bundled transmission via LCC-HVDC has become the main way of wind energy development and utilization in my country at present and in the future. The complex interaction between wind turbines, thermal power units, and LCC-HVDC needs to be further studied. In this paper, aiming at the direct-drive wind turbine group, thermal power unit and HVDC, the linearization model of the system is established, and the interactive coupling relationship between the connected equipment and the electrical damping of the thermal power unit is analyzed, and the mechanism of torsional vibration of thermal power unit shafting caused by wind-thermal bundling via LCC-HVDC is studied. mechanism. Based on the complex torque coefficient method, the influence of factors such as wind speed, control parameters, HVDC transmission power and control parameters on the electrical damping coefficient of thermal power units is studied. Finally, a time-domain simulation model is built in PSCAD/EMTDC, and the effectiveness of the electrical damping coefficient analysis results is verified through time-domain simulation and time-frequency analysis.

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A Data-Physics Fusion-Based Approach to power system Equivalent Inertia Assessment 7

A Data-Physics Fusion-Based Approach to Power System Equival...

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7th IEEE Student Conference on Electric Machines and systems, SCEMS 2024

作者： Zhou, Chihan Kan, Changtao Li, Gengkun Zhai, Pengming Tian, Guojie Liang, Shuang Zhang, Shuolin State Grid Kunming Power Supply Company Kunming China State Grid Jinan Power Supply Company Jinan China State Grid Zhejiang Electric Power Co. Ltd. Lishui Supply Branch Lishui China Wenshan Power Supply Bureau of Yunnan Power Grid Co. Ltd. Grid Metering Center of Yunnan Power Grid Co. Ltd. Wenshan China Shandong Tianyu Changtong Energy Group Co. Ltd. Qingdao China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China

ISBN: (纸本)9798350366945

In order to solve the error problem of the traditional inertia assessment method, a power system equivalent inertia assessment method incorporating machine learning technology is proposed. First, a physical model of single-machine equivalence is used, combined with a convolutional neural network (CNN) with self-adaptive and learning capabilities as a machine learning model. Second, the strongly correlated feature quantities are selected as inputs by analyzing the model structure and calculating the correlation between the inertia time constant and other feature quantities. In addition, the computational results of traditional evaluation methods are incorporated into the data model inputs, and the model parameters are optimized using the particle swarm optimization (PSO) algorithm. The simulation results prove that the proposed method has certain advantages in improving the accuracy of inertia estimation compared with the traditional method. © 2024 IEEE.

关键词： Convolutional neural networks

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Thermodynamic Analysis of Space Regenerative Orc (Srorc) system for Automotive Waste Heat Recovery

Thermodynamic Analysis of Space Regenerative Orc (Srorc) Sys...

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2021 International Conference on Applied Physics and Energy Development, APED 2021

作者： Tong, D.H. Kong, X.H. Li, M. Liu, X. Huang, G.L. Wang, X.P. State Key Laboratory of Engine Reliability Weichai Power Co. Ltd. Weifang261061 China State Key Laboratory of Automotive Simulation and Control Jilin University Changchun130025 China

In this paper, the space regenerative ORC (SRORC) system is proposed. In SRORC system, the superheated working fluid is divided into two parts after it works completely in the expander. The performance of SRORC system is studied, the performance of ORC system and SRORC system under different conditions are compared and analyzed. From the perspective of latent and sensible heat, the mechanism of using space regeneration to improve the performance of SRORC system is explored. The models of ORC system and SRORC system are built by Aspen plus software. R245fa is chosen as the working fluid because of its excellent performance. The simulation results show that compared with the evaporation temperature, the evaporation pressure has greater influence on the performance of SRORC system under B75 condition. Under C25, B50, A75, B75, and B100 conditions, compared with ORC system, the net output power of SRORC system is increased by 30.7%, 30.3%, 34.4%, 33.2% and 34%, the thermal efficiency is increased by 4.3%, 4.36%, 4.97%, 4.79% and 4.89%, the exergy efficiency is increased by 11.13%, 10.28%, 10.36%, 10.69% and 10.02%, the recovery efficiency of engine power is increased by 3.92%, 2.55%, 2.9%, 2.91% and 3.36%, respectively. The heat recovery rate of IHE-ORC system and SRORC system are 13.7kW and 24.8kW under B75 condition. In SRORC system, liquid working fluid can recover sensible and latent heat of superheated working fluid, and the latent heat accounts for most of the heat recovered. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Thermoanalysis

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Coordinated control Strategy of Grid-Connected Photovoltaic Generation system 8

Coordinated Control Strategy of Grid-Connected Photovoltaic ...

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8th Asia Conference on power and Electrical Engineering, ACPEE 2023

作者： Zhang, Jian Zhang, Hengxu Cao, Yongji Liu, Xiaoming Zou, Shihao Ma, Ruicong Shandong University Key Laboratory of Power System Intelligent Dispatch Control of the Ministry of Education Jinan China Shandong University Academy of Intelligent Innovation Jinan China Economic and Technological Research Institute State Grid Shandong Electric Power Company Jinan China

ISBN: (纸本)9798350345520

The development and utilization of renewable energy is imperative, and photovoltaic power generation has broad development prospects. However, photovoltaic power generation systems are limited by many external conditions, which bring more problems to power output and grid connected power quality. Therefore, in order to make better use of photovoltaic power generation, this paper proposes a coordinated control strategy of the grid-connected photovoltaic generation system. The operating principle, mathematical model, and output characteristics of photovoltaic cells are analyzed. Then, the MPPT algorithm and the operating principle of DC/DC converters are studied. Moreover, the structure and control strategy of grid connected inverters are analyzed. A simulation model of a three-phase photovoltaic grid-connected inverter system is established, and a control strategy based on grid voltage orientation is adopted. A case study is conducted to verify the proposed control strategy. © 2023 IEEE.

关键词： Maximum power point trackers

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Bi-Level Joint Planning of Transmission Network and Energy Storage system to Enhance Flexibility

Bi-Level Joint Planning of Transmission Network and Energy S...

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2023 International Conference on power Energy systems and Applications, ICoPESA 2023

作者： Meng, Xiangfei Sun, Yi Zou, Shihao Cao, Yongji Zhang, Hengxu Liu, Rui Wang, Xian Wang, Yao Economic and Technological Research Institute State Grid Shandong Electric Power Company Jinan China Shandong University Key Laboratory of Power System Intelligent Dispatch and Control Ministry of Education Jinan China Shandong University Academy of Intelligent Innovation Jinan China

ISBN: (纸本)9798350345605

The high proportion of renewable energies make the operation state of the power system more complicated. This paper proposes a bi-level joint planning approach considering the flexibility of the power system, which proposes for the transmission network and energy storage. By building a network flexibility index and adding a flexibility objective function, a bi-level optimization model is established to improve the power system flexibility and reducing investment cost. In addition, the outer model is solved by the snake optimization algorithm. The analysis results show that the joint planning model can effectively improve the flexibility of power system, and has economic advantages compared with the transmission lines expansion. © 2023 IEEE.

关键词： Energy storage

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Optimised Configuration of Multi-Energy systems Considering the Adjusting Capacity of Communication Base Stations and Risk of Network Congestion

SSRN

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SSRN 2024年

作者： Yang, Dongfeng Wang, Xi Sun, Yong Yang, Jingying Liu, Xiaojun Jiang, Chao Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China State Grid Jilin Electric Power Co. Ltd Changchun130000 China

The high percentage of renewable energy sources presents unprecedented challenges to the flexibility of power systems, and planning for the system's flexibility resources has become a necessary research area. Thus, this study constructs a flexibility quota mechanism and a two-stage model for the optimal configuration of multi-energy system coupling equipment to satisfy the growing demand for flexibility in city-level electricity-gas-heat-storage coupling systems. First, it examines the relationship between supply and demand for system flexibility, leading to the design of a flexibility quota mechanism. Subsequently, the power supply method for communication base stations shifts from direct networking to a hydrogen fuel cell supply. This flexibility quota mechanism encourages communication operators to actively engage in flexibility quota trading. Simultaneously, the safety constraints of heterogeneous energy-[A1] flow subsystems are considered while conducting comprehensive capacity planning for the coupling equipment of a multi-energy system. Finally, an optimisation strategy is proposed under the established capacity planning scheme for determining the siting and capacity of energy storage plants to address the potential transmission blockage risk in the power network. The case analysis utilised the IEEE 14-node grid-7-node gas network-8-node heat network test system, demonstrating that the constructed model enhances the system economy and mitigates transmission blockage risk, while enhancing the flexibility adjustment capability of the city-level multi-energy coupled system. © 2024, The Authors. All rights reserved.

关键词： Electric power transmission networks

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Real-time Optimal Energy Management of Combined Cooling, Heating and power systems Based on Knowledge conlusion

Real-time Optimal Energy Management of Combined Cooling, Hea...

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China International Electrical and Energy Conference (CIEEC)

作者： Chunjiang He Yijian Wang Yang Xu Yang Cui State Key Laboratory of Power Grid Security and Energy Conservation China Electric Power Research Institute Beijing Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin

Combined Cooling, Heating and power(CCHP) system is an important way to improve the efficiency of energy utilization and wind power consumption. In this case, increasing the operational flexibility of CCHP systems can help increase renewable energy consumption and reduce carbon emissions. So, it is necessary to provide real-time optimal energy management(OEM) for CCHP systems. In this paper. Firstly, a new training method is proposed for the LightGBM to improve the accuracy of real-time wind power prediction. In addition, to solve the nonlinear OEM of CCHP in real-time, a novel deep reinforcement learning algorithm-Soft Actor-Critic, is used in this paper. By combining the mechanism of CCHP with the reward function through knowledge fusion, the non-convex models can be translated into Markov Decision Processes(MDP), and then according to the Bellman optimal equation, the real-time optimized operation of the CCHP system is realized. Finally, the effectiveness of the proposed policy is verified by the actual operation data of a CCHP system in Northwest China.

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