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Energy Procurement and Retail Pricing for Electricity Retailers via Deep Reinforcement Learning with Long Short-term Memory

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CSEE Journal of Power and Energy Systems 2022年第5期8卷 1338-1351页

作者： Hongsheng Xu Jinyu Wen Qinran Hu Jiao Shu Jixiang Lu Zhihong Yang State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical Electronic Engineering Huazhong University of Science and TechnologyWuhan 430074China NARI Group Corporation Nanjing 211106China School of Electrical Engineering Southeast UniversityNanjing 210096China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

The joint optimization problem of energy procurement and retail pricing for an electricity retailer is converted into separately determining the optimal procurement strategy and optimal pricing strategy,under the“price-taker”*** aggregate energy consumption of end use customers(EUCs)is predicted to solve for the optimal procurement strategy vis a long short-term memory(LSTM)-based supervised learning *** optimal retail pricing problem is formulated as a Markov decision process(MDP),which can be solved by using deep reinforcement learning(DRL)***,the performance of existing DRL approaches may deteriorate due to their insufficient ability to extract discriminative features from the time-series vectors in the environmental *** propose a novel deep deterministic policy gradient(DDPG)network structure with a shared LSTM-based representation network that fully exploits the Actor’s and Critic’s *** designed shared representation network and the joint loss function can enhance the environment perception capability of the proposed approach and further improve the optimization performance,resulting in a more profitable pricing *** simulations demonstrate the effectiveness of the proposed approach.

关键词： Deep reinforcement learning electricity market energy procurement long short-term memory retail pricing

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Online Verification Method for Power grid Frequency Security Considering Multi-Time Scales Frequency Modulation Characteristics 16

Online Verification Method for Power Grid Frequency Security...

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16th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2024

作者： Sun, Zelun Zheng, Liang Li, Tong Luo, Feng Zhou, Haifeng Ruan, Jingjing Tian, Zhihao Laboratory of Smart Grid Protection and Control Nanjing China State Grid Ningxia Electric Power Company Ningxia China

ISBN: (纸本)9798350386127

With the large-scale integration of renewable energy such as wind power and photovoltaics, the power grid now exhibits characteristics of low inertia and reduced anti-interference ability. Consequently, it presents significant risks to the frequency security of the grid. The traditional online security verification of power grid frequency encompasses two distinct working conditions. Firstly, it involves the transient frequency security verification, which focuses on the primary frequency modulation during grid faults. Secondly, it also encompasses the medium and long-term security verification, specifically targeting the secondary frequency modulation under steady-state conditions of the power grid. This method cannot consider the multi-time scales factors of power grid frequency fluctuations. An online verification method for power grid frequency security considering multi-time scales frequency modulation characteristics is proposed. Based on the sliding filter algorithm, disturbance signals of different time scales are generated for simulation verification. Simulation methods are selected based on the fluctuation levels of disturbance signals at various time scales. By considering the priority of the primary and secondary frequency modulation time sequences of the power generating unit, an online security and stability verification method for grid frequency with consideration of multi-time scale frequency response is developed. The dynamic response process of the primary and the secondary frequency modulation of the system is simulated and verified based on the IEEE-39 system. © 2024 IEEE.

关键词： Frequency modulation

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Fault diagnosis method for ship power-system DC–DC converter using augmented WPD and multi-branch CNN-BiLSTM network

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Journal of the Franklin Institute 2025年第9期362卷

作者： Ren, Yuanjie Zhang, Lanyong Shi, Peng Peng, Huimin College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China School of Electrical and Mechanical Engineering The University of Adelaide SA5000 Australia State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Jiangsu Nanjing211106 China

Direct current (DC) –DC converters are indispensable energy conversion devices in medium-voltage DC power systems of ships. Herein, the fault diagnosis problem of bidirectional DC–DC converters is investigated. Considering that the fault diagnosis of bidirectional DC–DC converters requires the effective combination of information from multiple diagnostic signals and differences in characteristic data in different time scales, a parallel stacking of multiple branches based on enhanced wavelet packet decomposition technology is proposed as a hybrid model of a convolutional neural network and bidirectional long short-term memory network. First, a multi-input method is used to extract effective features in the sequence data. Second, a multi-model fusion processing framework is used to perform fault diagnosis analysis on the DC–DC converter. Finally, the squeeze and excitation attention mechanism is used to weight all types of fault features and adaptively obtain them. The important weights of the classification feature maps learned by different branches generate fault classification results. Experimental results reveal that the proposed method can extract highly discriminative features from raw data and exhibits robustness in noisy environments. © 2025 The Franklin Institute

关键词： Convolutional neural networks

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Influence of Capacitive Voltage Transformer Parameters on Harmonic Transmission Characteristics 12

Influence of Capacitive Voltage Transformer Parameters on Ha...

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12th International Conference on Renewable Power Generation, RPG 2023

作者： Li, Xindong Wu, Tonghua Lv, Yichao Jiang, Jiaheng Zhang, Chenhao State Key Laboratory of Smart Grid Protection and Operation Control State Grid Electric Power Research Institute Nanjing China Xi'an Jiaotong University Xi'an China

Capacitive voltage transformer (CVT) has the advantages such as low insulation cost, small size and large electric field strength margin, so it is widely used in voltage measurement, relay protection and high frequency communication. However, CVT has the capacitors and inductors in its structure, these components are sensitive to frequency, so it can not accurately measure harmonics. Considering the stray capacitance and coupling capacitance of capacitive voltage transformer, the broadband response equivalent circuit model of CVT is established, and a cascade hierarchical analysis method is proposed to deduce the complete transfer function. On this basis, the influence of key parameters of CVT on harmonic transmission characteristics is simulated and analysed. The simulation results show that the increase of compensation reactor stray capacitance will make the resistance band move to the low frequency direction, the stray capacitance of the primary side of the intermediate transformer affects the attenuation degree of the high frequency band, and the effect of secondary side of transformer stray capacitance on the frequency response of CVT can be ignored. The results have reference significance for accurate harmonic measurement and manufacturing of CVT. © The Institution of Engineering & Technology 2023.

关键词： Relay protection

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Large generator rotor distortion sensing monitoring technology research 7

Large generator rotor distortion sensing monitoring technolo...

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7th International Forum on Electrical Engineering and Automation, IFEEA 2020

作者： Shaoliang, Zhou Li, Chen Jian, Shen Jianping, Sun State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation State Grid Electric Power Research Institute Co. Ltd Nanjing China

ISBN: (纸本)9781728196275

In view of the shortage of direct measurement method for shafting of large generator sets, this paper proposes a sensor monitoring technology based on illumination emphasis. The article first introduces the research status of the shaft torque of thermal power units, and expounds the theory of mode interference and the theory of twist sensing. Then, the LP mode simulation of single-mode fiber and two-mode fiber is carried out, which is an effective method for symmetrical higher-order mode. Finally, the simulation of the mode interferometer, the spectrum and the phase during twisting is carried out. It is clarified that the non-circular symmetrical mode with π phase difference electric field distribution is the key inducement of the interferometric phase jump and spectrum flipping in twisting measurement. This article provides theoretical guidance for subsequent device fabrication and spectral distortion analysis. © 2020 IEEE.

关键词： Single mode fibers

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Life Prediction Method of Equipment System Based on SVR-Wiener

Life Prediction Method of Equipment System Based on SVR-Wien...

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2021 IEEE International Conference on Sensing, Diagnostics, Prognostics, and control, SDPC 2021

作者： Yan, Bingrong Su, Yan Wang, Jinjun Wen, Tan State Key Laboratory of Smart Grid Protection and Control Nanjing China Nari Group Corporation Nanjing China Nanjing University of Aeronautics and Astronautics Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China Civil Aviation College Nanjing University of Aeronautics and Astronautics Nanjing China

ISBN: (纸本)9781665449762

Aiming at tlie cliaracteristics of liigli reliability, long-life equipment or newly developed equipment with a small number of failure degradation data samples, this paper proposes a method for predicting the remaining useful life of equipment systems based on the fusion of support vector regression (SVR) and drift Wiener process. Firstly, the distribution function of the drift Wiener process is transformed;then, a support vector regression machine method is introduced to establish an optimization model to estimate the parameters of the drift Wiener process, and a life prediction algorithm based on SVR and drift Wiener process is researched and established. Finally, a certain highly reliable and long-life cabin environment system is used as an example to carry out life prediction. The application shows that the method proposed in this paper has better prediction than the traditional maximum likelihood estimation method and moment estimation method in a small sample. © 2021 IEEE.

关键词： Forecasting

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Review of cyber physical system and cyber attack modeling 12

Review of cyber physical system and cyber attack modeling

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12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2020

作者： Fan, Haofei Ni, Ming Zhao, Lili Li, Manli State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation Nari Technology Co. Ltd Nanjing China

ISBN: (纸本)9781728157481

Cyber Physics Systems consists of physical systems and information systems. Modern power systems are increasingly dependent on information systems, experts and scholars are paying more and more attention to cyber attacks on CPS. This paper first introduces the existing research on cyber physical power system. Then this paper reviews the current status of existing cyber attacks. Finally, the modeling method for CPS is summarized such as correlation characteristic matrix, graph theory, complex network theory, finite state machine, mathematical programming and cellular automata method. These methods have vital theoretical and practical significance for the research of cyber physical power system. © 2020 IEEE.

关键词： Graph theory

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Non-intrusive load perception and flexibility evaluation for electric vehicle charging station: a deep learning based approach 5

Non-intrusive load perception and flexibility evaluation for...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi China Southeast University School of Electrical Engineering Nanjing China State Key Laboratory of Smart Grid Protection and Control Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

Electric vehicles have the advantages of zero carbon emission, high energy efficiency and simple structure, and have been widely used today. Under the control of V2G, electric vehicles can be used as loads and distributed power sources, and become participants in the operation of auxiliary systems. Aiming at how to evaluate the load states and controllability of electric vehicle charging stations, this paper proposes a load sensing method for electric vehicle charging stations based on unsupervised learning and non-intrusive load monitoring. The proposed load sensing method firstly establishes the load sensing model according to the unsupervised learning strategy, and then uses the neural network model of the supervised learning strategy to evaluate the available regulation capability, so as to realize the load perception and regulation capability evaluation of the electric vehicle charging station. Through the verification of simulation data, it is proved that the proposed method has good performance in the evaluation of load perception and controllability of electric vehicle charging stations, which provides a feasible solution to the practical implementation of auxiliary responses by electric vehicles. © 2022 IEEE.

关键词： Electric vehicles

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A Day-ahead Scheduling Strategy for Electric vehicles Based on Converted Economical Objective 5

A Day-ahead Scheduling Strategy for Electric vehicles Based ...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Bai, Chenhui Wang, Jiarui Deng, Jiewen Liu, Yu Wang, Yi State Key Laboratory of Smart Grid Protection and Control China School of Electrical Engineering Southeast University Nanjing China Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

In recent years, with the rapid development of electric vehicles (EVs), the connection of a large number of EVs to the power grid has adversely affected the economic operation and system stability of the power grid. Therefore, research on the effective dispatch of EVs is of great significance. This paper proposes a day-ahead scheduling strategy for EVs based on converted economical objective, which makes full use of the flexibility of EV loads, takes into account the interests of the grid side and the user side, and reduces the negative impact of EVs connected to the grid. For the limitation of the objective function with the smallest variance, objective function converts the technical index of grid load peak-to-valley difference into an economic index with the smallest charging cost for users, and uses CPLEX to solve the day-ahead scheduling model of small-scale fast charging stations. The calculation example shows that this strategy can effectively reduce the peak-to-valley difference of grid load, which proves the rationality of the strategy. © 2022 IEEE.

关键词： Electric vehicles

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Fuzzy Adaptive PI Circulating Current Suppressing control for MMC-HVDC 6

Fuzzy Adaptive PI Circulating Current Suppressing Control fo...

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6th IEEE Information Technology, Networking, Electronic and Automation control Conference, ITNEC 2023

作者： Chao, Wujie Huang, Junwei Deng, Chaoping Dai, Liyu State Grid Fujian Electric Power Research Institute Fuzhou350007 China Fujian Key Laboratory of Protection and Operation Control for Smart Grid 350007 China

ISBN: (纸本)9781665460033

Recent years, modular multilevel converter (MMC) is one of the most promising topologies applied to high voltage direct current transmission (HVDC). In order to solve the circulating currents caused by structural defects of MMC, a fuzzy adaptive PI circulating current suppressing controller is proposed based on mathematical model of MMC and functioning fuzzy subset inference method: The fuzzy number is calculated according to the error of system state, error variation, membership function and fuzzy control rules;The center of gravity method is used for defuzzification, and finally the PI parameters are modified. Finally, the PSCAD/EMTDC simulation model with fuzzy adaptive PI controller is established. The results show that the fuzzy adaptive PI circulating current suppressing controller is effective for MMC-HVDC. © 2023 IEEE.

关键词： controllers

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