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7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

作者： Xiong, Jiali Cai, Qiang Dai, Liyu Li, Zhicheng Lin, Guodong Deng, Chaoping Sun, Jin Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China Fuzhou University College of Electrical Engineering and Automation Fuzhou China

ISBN: (纸本)9781665418195

The battery energy storage technology can be flexibly configured and has excellent comprehensive characteristics. In addition to considering the reliability of the battery energy storage power station when it is connected to the grid, the reliability of the energy storage power station itself should also be considered. The reliability model based on Copula theory was established for battery module, and the reliability of energy storage module was analyzed according to the basic structure of energy storage modules. In this paper, the example analysis is based on the existing simulation model of energy storage module. Then the reliability of energy storage module in the next 20 years is predicted considering the different correlations between battery clusters. © 2022 IEEE.

关键词： Reliability analysis

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Design and Verification of a DC Direct-mounted Energy Storage Topology

Design and Verification of a DC Direct-mounted Energy Storag...

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IEEE Information Technology, Networking, Electronic and Automation control Conference

作者： Junwei Huang Wujie Chao Chaoping Deng Liyu Dai Jinke Wang Electric Power Research Institute of State Grid Fujian Electric Power Co. Ltd. Fuzhou China Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

ISBN: (数字)9798350370805

ISBN: (纸本)9798350370812

The modular multilevel converter based battery energy storage system (MMC-BESS) has the problem of pulsating current affecting battery life, and the high cost of retrofitting traditional modular multilevel converter (MMC) stations. The proposed DC direct-mounted energy storage topology in this paper is battery friendly and required number of battery cells is only 1/6 of MMC-BESS, greatly saving costs. This paper analyzes the topology structure and working principle of DC direct-mounted energy storage devices, and proposes a design method for the DC direct-mounted energy storage devices. The proposed design method is validated through simulation and prototype experiments. The simulation and construction of a DC 750V prototype have verified that the prototype has achieved good charging and discharging functions for DC energy storage, with small fluctuations in DC grid connected current and good power control effect. This study can provide reference and guidance for the design and application of high-voltage and high-capacity direct current energy storage devices that support offshore wind power to move towards the deep sea in the future.

关键词： Multilevel converters Fluctuations Costs Power control Prototypes High-voltage techniques Wind power generation Topology Batteries Energy storage

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The Analysis of AC Faults in AC/DC Hybrid Distribution System with SOP 1

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7th Purple Mountain Forum on smart grid protection and control, PMF2022

作者： Jin, Peng Wu, Tonghua Wu, Hai Hu, Guo Shen, Qian NARI Group Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing211000 China School of Automation Nanjing University of Science and Technology Nanjing210094 China

ISBN: (数字)9789819900633

ISBN: (纸本)9789819900626

AC/DC hybrid distribution system becomes increasingly necessary for integration of distributed renewable energy resources (DER) and management of carbon emissions. However, the fault characteristics of AC/DC hybrid power distribution network are vastly different from traditional AC distribution system for their varied structures. Considering the strong capability in controlling power flow and fault current of soft open point (SOP), this paper establishes the model of AC fault sequence network of hybrid distribution system with SOP, in which positive and negative separation control strategy is adopted by the converter. The model includes traditional AC equivalent network, DC equivalent network, back-to-back converter and its control system, based on which the AC fault characteristics in AC/DC hybrid distribution system are analyzed. Through utilizing PSCAD/EMTDC, different simulation scenarios are carried out to verify the effectiveness of AC fault modeling and analysis method of AC/DC hybrid power distribution system with SOP, thus providing a theoretical basis for AC side protection scheme of AC/DC hybrid system. © State grid Electric Power Research Institute 2023.

关键词： Electric load flow

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Research on control Strategy and Simulation of MMC-HVDC System Based on Battery Energy Storage System

Research on Control Strategy and Simulation of MMC-HVDC Syst...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Liyu Dai Chaoping Deng Wujie Chao Jinke Wang Junwei Huang Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China

This paper presents a method of applying MMC based on battery energy storage system (BESS) to HVDC system to realize power decoupling control on AC and DC side. Firstly, the basic structure and working principle of MMC-HVDC system based on BESS are analyzed. Then, based on the mathematical equivalent model, the MMC-BESS decoupling control method based on DC power control is derived, and the AC-DC power decoupling control is realized. Finally, a +400kV MMC-HVDC system is built on the RTDS platform, and the proposed control strategy and power decoupling effect are verified. The results show that the MMC-BESS control strategy proposed in this paper is effective. The MMC-HVDC system based on BESS can realize active power decoupling control between AC side and DC side, and the unbalanced power between AC side and DC side can be compensated by the charge and discharge of BESS.

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Improved Droop control for Power grid Considering State-of-charge of Battery Energy Storage

Improved Droop Control for Power Grid Considering State-of-c...

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Electrical Engineering and control Science (IC2ECS), International Conference on

作者： Yuge Chen Zhicheng Li Chaoping Deng Weijun Zhang Shuling Zhang Tongtong Gao Fujian Key Laboratory of Smart Grid Protection and Operation Control Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fuzhou China

The constant droop coefficient (DC) in the traditional f-P and V-Q droop control is not conducive to the state-of-charge (SoC) management of the battery energy storage (BES) system. This paper proposes an improved droop control strategy (DCS) for the power grid which considers both the power frequency adjustment of the power system and the SoC management constraints of the BES. The proposed improved DCS is enabled to adjust the DC according to the SoC status of the BES. Case studies verify the effectiveness of the proposed DCS, which significantly reduces the frequency change deviation in the dynamic process of the weak power grid.

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Assessment of Static Voltage Stability Margin for Power Systems with Causal Decomposition and Reverse Feature-Enhanced Temporal Convolutional Networks

Assessment of Static Voltage Stability Margin for Power Syst...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Haifeng Zhou Xianyu Zha Qi Pan Naishuang Li Jiabin Zhang Jiacheng Liu State Key Laboratory of Smart Grid Protection and Operation Control NARI Group Corporation (China Electric Power Research Institute) Nanjing China

ISBN: (数字)9798350386127

ISBN: (纸本)9798350386134

Rapid and accurate static voltage stability assessment is crucial for the safe operation of large-scale interconnected power grids. Existing methods have failed to effectively filter key input variables in massive measurement data, limiting assessment accuracy. This study proposes an assessment method based on causal decomposition and reverse feature-enhanced temporal convolution networks. Initially, using bottom-layer measurement data as input, key variables are selected through causal decomposition, reducing the original feature set and enhancing computational efficiency. Subsequently, a reverse feature-enhanced temporal convolution model is constructed to fully mine data characteristics and achieve high precision assessment. Validation in an improved four-machine two-area simulation system demonstrates that this method significantly enhances estimation accuracy and algorithm performance while reducing the dimensionality of original variables.

关键词： Adaptation models Accuracy Correlation Convolution Power system stability Predictive models Feature extraction Stability analysis Data models Convolutional neural networks

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High-performance Full Electromagnetic Transient Simulation System of fujian Power grid and its Application 5

High-performance Full Electromagnetic Transient Simulation S...

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5th IEEE Conference on Energy Internet and Energy System Integration, EI2 2021

作者： Li, Zhicheng Tang, Zhijun Zhang, Dongyuan Chao, Wujie Peng, Xiaoyan Leng, Yongjie Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fujian China Electric Power Research Institute State Grid Fujian Electric Power Co. Ltd Fujian Key Laboratory of Smart Grid Protection and Operation Control Fuzhou China Integrated Electronic Systems Lab Co. Ltd. Jinan China

ISBN: (纸本)9781665434256

This paper proposes a high-performance full electromagnetic transient simulation system of fujian power grid. The system is developed based on the General Transient Simulator (GTS), which is a self-developed electromagnetic transient simulation tool. The key technologies of the simulation system, such as the high-performance automatic parallel computing technology and the large time step electromagnetic transient simulation technology, are introduced. The full electromagnetic transient simulation of the AC power system above lOkV in fujian power grid based on the dispatching control cloud platform is realized. Study cases are carried out and the validity and accuracy of the simulation are verified by comparing the actual fault recording data and simulation waveforms. © 2021 IEEE

关键词： Transients

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Optimal Scheduling of Thermoelectricity in Integrated Energy System Based on Waste Heat Recovery from Power to Gas and Flexible Thermoelectricity Ratio 6

Optimal Scheduling of Thermoelectricity in Integrated Energy...

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6th IEEE Conference on Energy Internet and Energy System Integration, EI2 2022

作者： Yang, Dongmei Gao, Yu Wang, Qi Chen, Yan Guo, Yuchen Wang, Meng Nari Technology Co. Ltd. The State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China Nanjing Normal University School of Nari Electric and Automation Nanjing China

ISBN: (纸本)9798350347159

Aiming at the anti-peak shaving characteristics of wind power and the problem of wind curtailment caused by the 'fixing electricity by heat' of CHP units, an optimal scheduling method in integrated energy systems based on waste heat recovery from power to gas(P2G) and flexible thermoelectricity ratio in CHP is proposed. First, the P2G energy coupling mechanism and the feasibility of P2G waste heat recovery and utilization are analyzed. P2G equipment is introduced into the system and the remaining heat is recycled and utilized to promote wind power grid-connected consumption. Then, the principle of flexible thermoelectric ratio adjustment of CHP is analyzed, so that CHP can adjust the thermoelectric ratio following the trend of wind power output and the energy supply pressure of electric heat load, so as to improve the wind power consumption capacity of the system. Finally, the optimal scheduling model of the integrated energy system is constructed with the goal of minimizing the daily operating cost. The simulation example shows that the proposed scheduling method optimizes the thermoelectric coupling relationship of the system, effectively improves the wind power absorption capacity of the system, and has good social and economic benefits. © 2022 IEEE.

关键词： Wind power

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Source-Load Joint Probability Prediction Based on Transformer Model 5

Source-Load Joint Probability Prediction Based on Transforme...

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5th IEEE International Conference on Artificial Intelligence and Big Data, ICAIBD 2022

作者： Hu, Pingzhao Shan, Xin Hu, Diangang Fu, Jiayu Wang, Chen Zhang, Kaifeng Southeast University Key Laboratory of Measurement and Control of Cse Ministry of Education Nanjing China Co. Ltd. State Grid Nari Technology Co. Ltd. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China State Grid Gansu Electric Power Co. Ltd. Gansu China

ISBN: (纸本)9781665499132

Renewable energy power generation prediction, including wind and photovoltaic power prediction, is usually performed separately from load prediction, while there are significant internal relationships between renewable energy power generation and load consumption. Therefore, exploring the relationship between source and load, and implementing sourceload joint prediction may improve the accuracy of source-load prediction simultaneously. This paper proposes a source-load joint probability prediction method, PCMDT (Probability-CNN-Multi-Decoder-Transformer), based on Transformer model. Firstly, we analyzed the possible aspects of the relationship between renewable energy and load. Then the CMDT(CNN-Multi-Decoder-Transformer) model was used to realize the point prediction of renewable energy power generation and load power. Next, the conditional quantile was obtained by optimizing the quantile loss function (Pinball Loss) to realize the joint probability prediction of source and load. Finally, the model was tested on a public state-level dataset. Comparing the results of source-load joint prediction with non-joint prediction, the proposed model can improve the accuracy of renewable energy and load prediction. © 2022 IEEE.

关键词： Forecasting

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Decision Support System for Adaptive Restoration control of Transmission System

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Journal of Modern Power Systems and Clean Energy 2021年第4期9卷 870-885页

作者： Ze Li Yusheng Xue Haohao Wang Lili Hao School of Electrical Engineering Southeast UniversityNanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChina State Grid Electric Power Research Institute(NARI Group Corporation) NanjingChinaand they are also with State Key Laboratory of Smart Grid Protection and Operation ControlNanjingChina School of Electrical Engineering and Control Science Nanjing Tech UniversityNanjingChina

The power system restoration control has a higher uncertainty level than the preventive control of cascading failures. In order to ensure the feasibility of the decision support system of restoration control, a decision support framework for adaptive restoration control of transmission system is proposed, which can support the coordinated restoration of multiple partitions, coordinated restoration of units and loads, and coordination of multi-partition decision-making process and actual restoration process. The proposed framework is divided into two layers, global coordination layer and partition optimization layer. The upper layer partitions the transmission system according to the power outage scenario, constantly and dynamically adjusts the partitions during the restoration process, and optimizes the time-space decision-making of inter-partition connectivity. For each partition, the lower layer pre-selects restoration targets according to the estimated restoration income, optimizes the corresponding restoration paths, and evaluates the restoration plans according to the expected net income per unit of power consumption. During the restoration process, if the restoration operation such as energizing the outage branch fails, the current restoration plan will be adaptively switched to the sub-optimal one or re-optimized if necessary. The framework includes two operation modes, i.e., the on-line operation mode and training simulation mode, and provides an information interaction interface for collaborative restoration with related distribution systems. The effectiveness and adaptability of the proposed framework is demonstrated by simulations using the modified IEEE 118-bus system.

关键词： Transmission system restoration two-layer decision support framework restoration risk and income restoration uncertainty sand table deduction

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