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Fully Distributed Economic Dispatch for Cyber-physical Power System with Time Delays and Channel Noises

Journal of Modern Power Systems and Clean Energy 2022年第6期10卷 1472-1481页

作者： Yuhang Zhang Ming Ni Yonghui Sun College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China NARI Group Corporation(State Grid Electric Power Research Institute) Nanjing 211106China NARI Technology Co. Ltd.Nanjing 211106China State Key Laboratory of Smart Grid Protection and Control Nanjing 211106China

Economic dispatch problem(EDP)is a fundamental optimization problem in power system operation,which aims at minimizing the total generation *** fact,the power grid is becoming a cyber-physical power system(CPPS).Therefore,the quality of communication is a key *** this paper,considering two important factors,i.e.,time delays and channel noises,a fully distributed consensus based algorithm is proposed for solving *** critical maximum allowable upper bounds of heterogeneous communication delays and self-delays are *** should be pointed out that the proposed algorithm can be robust against the time-varying delays and channel noises considering generator *** addition,even with time-varying delays and channel noises,the power balance of supply and demand is not broken during the *** simulation studies are presented to validate the correctness and superiority of the developed results.

关键词： Distributed economic dispatch consensus-based algorithm cyber-physical power system time delay channel noises

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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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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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Instantaneous Frequency Measurement and Tracking under Out of Step Oscillation 7

Instantaneous Frequency Measurement and Tracking under Out o...

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7th International Conference on smart grid and smart Cities, ICSGSC 2023

作者： Cai, Ke Su Zhang, Gan Feng Ji, Rong Rong Zheng, Sui Sheng Xia, Cheng Lin Lan, Tian Yu State Grid Electric Power Research Institute State Key Laboratory of Smart Grid Protection and Control Nari Group Corporation NanJing China Ultra High Voltage Branch Company State Grid Zhejiang Powe Company HangZhou China Nari Group Corporation State Grid Eelectric Power Research Institute NanJing China

ISBN: (纸本)9798350305913

As an important operating parameter of the power system, the instantaneous frequency of the current can reflect the actual operating state of the current system, especially when the system is out of step. The characteristics of the current in the oscillation line are analyzed in this paper. An algorithm for measuring instantaneous frequency of current while power system swings is presented, based on the broad definition of angular frequency. According to the feature of the actual power system, a new method for measuring the instantaneous current frequency by real-time sampling is proposed. Finally, the algorithm is simulated on the model of the equivalent systems. When the system swings, the real-time frequency is gained by sampling the current in the line, combined with the frequency of the equivalent machine of both sides. It shows that the obtained current frequency is reasonable and effective, compared to the characteristics of the system. © 2023 IEEE.

关键词： angular frequency instantaneous frequency oscillation sampling

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An Integer Variable Reduction and Neighborhood Search Cutting Plane Method for Security Constrained Unit Commitment 4

An Integer Variable Reduction and Neighborhood Search Cuttin...

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4th International Conference on Power and Energy Technology, ICPET 2022

作者： Ding, Qia Ye, Jun Wang, Mengchang Zhang, Yantao Lu, Chunling Wang, Wen State Key Laboratory of Smart Grid Protection and Control Nanjing China Alibaba Group Alibaba Damo Academy Hangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

Security-constrained unit commitment (SCUC) is the foundation to ensure the safe and economic operation of power systems. A large number of integer variables and complex network security constraints are the main barriers that limit the computation efficiency of the SCUC problem. In this paper, the congestion information is used to identify the units that play a key role in alleviating transmission congestion, in the process of iterative solving of the SCUC. Then the commitment statuses of non-critical units are fixed, and the number of integer variables is reduced. Additionally, a neighborhood search cutting plane is designed and added to the model so as to reduce the branch-and-bound search space of the mixed integer programming problem. The simulation results of the 3375-bus case demonstrate that the proposed method can significantly improve the solving efficiency compared with the traditional method. © 2022 IEEE.

关键词： Complex networks

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Research on Hybrid Active Power Filter and Its Control and protection System for LCC-HVDC

Research on Hybrid Active Power Filter and Its Control and P...

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IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

作者： Wujie Chao Liyu Dai Junwei Huang Mingquan Chen State Grid Fujian Electric Power Research Institute Fuzhou China Fujian Key Laboratory of Protection and Operation Control for Smart Grid Fuzhou China

Filters are key equipment in LCC-HVDC projects. It filters out characteristic harmonics generated by the converter and prevents the effect of harmonics generated by converters on the AC power grid. Currently, most DC transmission projects use passive filters. The first use of hybrid active power filters in the Fujian Guangdong DC interconnection project º This paper introduces the application framework, theory, control and protection system design of hybrid active power filters in LCC-HVDC projects.

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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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Optimal Phase Switch Device Placement Scheme for Low Voltage Distribution Network Considering Load and Renewable Energy Uncertainty

Optimal Phase Switch Device Placement Scheme for Low Voltage...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Liang, Feng Ni, Jianfu Zhu, Hao Xiong, Qingsheng Yu, Zhuofei Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

With the increase of single-phase devices and loads in the power system, the three-phase unbalance problem of the low voltage distribution network is more serious. Besides, the intermittency and volatility of renewable energy increase system uncertainty. To address this issue, this paper proposes a phase switch device placement model for the low voltage distribution network with renewable energy sources. The proposed model combines network reconfiguration and phase switch device to mitigate the three-phase unbalance. Considering the uncertainty of loads and renewable energy output, the proposed model is formulated as a mixed integer linear programming model based on stochastic programming, which can be solved by general commercial solvers and find the global optimal solution. The effectiveness of the proposed model is validated on the IEEE 13 node test feeder. The results show that the proposed model can significantly mitigate the three-phase unbalance of low voltage distribution network. © 2022 IEEE.

关键词： Renewable energy resources

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A Cooperative Development Path in Distribution Networks with Distinct Ownership Based on System Dynamics

A Cooperative Development Path in Distribution Networks with...

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2022 Asia Power and Electrical Technology Conference, APET 2022

作者： Ni, Jianfu Liang, Feng Yu, Tianying Xiong, Qingsheng Zhu, Jinda Nari Group Corporation State Key Laboratory of Smart Grid Protection and Control R&d Department in Nari Technology Nanjing China Xi'an Jiaotong University Smart Grid Key Laboratory of Shaanxi Province Xi'an China

ISBN: (纸本)9781665453349

The system dynamics is an effective tool to study the internal evolution mechanism of a system. In this paper, a distinct ownership interaction causal loop diagram of the distribution network is established by sorting out the relationship chain between distributed PV, distributed gas units, distributed energy storage, distribution company and residents. The distinct ownership co-evolution model of distribution network is further established, and the boundary conditions of distributed power supply construction of distribution network are obtained by analyzing the distribution network test case. The effective path to achieve the dual carbon target is verified. © 2022 IEEE.

关键词： Electric power distribution

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Reliability Assessment of Battery Energy-Storage Module Based on Correlation Analysis 7

Reliability Assessment of Battery Energy-Storage Module Base...

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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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