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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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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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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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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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Multi-Objective Optimization of Magnetic Parameters in Wireless Charging Coupler Based on Deep Belief Network 26

Multi-Objective Optimization of Magnetic Parameters in Wirel...

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26th International Conference on Electrical Machines and Systems, ICEMS 2023

作者： Lan, Yu Jiang, Jinhai Song, Kai Yang, Fengshuo Sang, Lin Wang, Ke Zhang, Zhenjun Zhang, Xuan Li, Xuling Harbin Institute of Technology School of Electrical Energineering and Automation Harbin China Nari Technology CO. LTD. State Key Laboratory of Smart Grid Protection and Operation Control Nanjing China

ISBN: (纸本)9798350317589

The magnetic coupler is the core component of the wireless charging system. Its magnetic parameters have a significant effect on transmission performance. However, the current analytical models used for multi-objective optimization design are inadequate with poor calculation accuracy, leading to challenges in achieving comprehensive multi-objective optimal. This paper proposes an efficient fitness function modeling method for multi-objective optimization based on the deep belief network (DBN), enhancing both the design accuracy and optimization speed. Firstly, a three-dimensional magnetic circuit model is developed to consider the coil, magnetic core, and aluminum plate. Secondly, a loss correlation model of the magnetic coupler is established. Thirdly, the deep belief network (DBN) regression is utilized to obtain an accurate fitness characterization function. Finally, the fractional particle swarm optimization (FPSO) is applied to achieve the Pareto optimal solution of the magnetic coupler's design parameters. In this work, the WPTI rectangular coil is taken as an illustrative example. An optimized design with a coupling coefficient of 0.23, transmission efficiency of 97.5%, and a weight of 9.6 kg is selected for experimental verification. The results demonstrate that the predicted values match the measurements with an error less than 5%. © 2023 IEEE.

关键词： Multiobjective optimization

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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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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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Power System operation Mode Generalization and Stability control Strategy Modification Based on Data-Driven Method 5

Power System Operation Mode Generalization and Stability Con...

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5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yuan, Huling Liu, Panpan Tai, Wei State Key Laboratory of Smart Grid Protection and Control System Protection Laboratory Nari Technology Co. Ltd. Nanjing China Nanjing Dongbo Smart Energy Research Institute Nanjing China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The power grid operating mode will grow more complicated and diversified as power grid structure becomes more complex, as does the high share of renewable energy and the rising permeability of power electronic equipment. As a result, evaluation and analysis methodologies designed for ordinary operating modes will not be able to fulfill the needs of future power system operation planning, analysis, and strategy selection. Therefore, this paper provides a data-driven power system operating mode analysis as well as a technique for selecting a stability control strategy This method first builds the characteristics of the typical scenario is suitable for the operation of the electric properties and the method of data preprocessing, then identifies the typical operation mode through clustering and tightness index saturation point, respectively, and selects the corresponding stability control strategy in place to ensure that the grid can still keep the stable operation unaffected. Finally, an example is generated and examined using real power grid operating data from southwest China to demonstrate the efficacy and dependability of the proposed strategy. © 2022 IEEE.

关键词： Electric power transmission networks

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Steady-state Voltage Security-constrained Optimal Frequency control for Weak HVDC Sending-end AC Power Systems

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Journal of Modern Power Systems and Clean Energy 2024年第2期12卷 658-669页

作者： Qiangqiang Wang Liangzhong Yao Jian Xu Yuping Zheng Wei Li Wei Wang School of Electrical Engineering and Automation Wuhan UniversityWuhan 430072China Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network(Wuhan University) Wuhan 430072China State Key Laboratory of Smart Grid Protection and Control NARI Group Corporation(State Grid Electric Power Research Institute)Nanjing 211106China

Due to the fact that a high share of renewable energy sources(RESs)are connected to high-voltage direct current(HVDC)sending-end AC power systems,the voltage and frequency regulation capabilities of HVDC sending-end AC power systems have *** has resulted in potential system operating problems such as overvoltage and overfrequency,which occur simultaneously when block faults exist in the HVDC *** this study,a steady-state voltage security-constrained optimal frequency control method for weak HVDC sending-end AC power systems is *** integrated virtual inertia control of RESs is employed for system frequency *** dynamic reactive power compensation devices are utilized to control the voltage of all nodes meet voltage security ***,an optimization model that simultaneously considers the frequency and steady-state voltage security constraints for weak HVDC sending-end AC power systems is *** optimal control scheme with the minimum total cost of generation tripping and additional dynamic reactive power compensation required is obtained through the optimization *** are conducted on a modified IEEE 9-bus test system and practical Qing-Yu line commutated converter based HVDC(LCC-HVDC)sending-end AC power system to verify the effectiveness of the proposed method.

关键词： Renewable energy source(RES) high-voltage direct current(HVDC) AC power system optimal frequency control steady-state voltage security dynamic reactive power compensation

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