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Table of Content

    25 December 2022, Volume 44 Issue 12
    Digitalization of Power Industry
    Recursive state estimation for digitalized power grids subject to cyber attacks under Round-Robin protocol
    LI Xin, CHENG Kaijie, ZHU Liangkuan
    2022, 44(12):  1-10.  doi:10.3969/j.issn.2097-0706.2022.12.001
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    The problems in the recursive state estimation for digitalized power grids subjected to cyber attacks under Round-Robin(RR) protocol are investigated. Data transmitted between the state estimators and the sensors of a digitalized power grid are vulnerable to the interception of adversaries. As a result,a recursive state estimator for the digitized power grid is proposed which can guarantee the upper bound of error covariance while reducing the impact of cyber assaults on the accuracy of state estimation. A cyber-attack model that comprises denial of service(DoS)and deception attacks is constructed. Moreover,the RR protocol is employed to handle network congestion problems,and the algebraic Riccati equations and stochastic analysis are employed to deduce the upper bound of error covariance. Finally,a simulation example is given to show that the proposed design of recursive state estimators is valid.

    Intelligent fault reasoning method for the substation monitoring system based on LSTM
    FU Hao, ZOU Hualei, ZHANG Tengfei
    2022, 44(12):  11-17.  doi:10.3969/j.issn.2097-0706.2022.12.002
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    The substation fault reasoning rules and analysis applications summarized by human are incomplete,difficult and vulnerable to interfering signals. Fault reasoning's configurations are of low reusability and have to take time sequence of input signals into consideration, which cannot be effectively solved by traditional machine learning algorithms. Thus, a substation intelligent fault reasoning method based on long-short-term memory recurrent neural network (LSTM-RNN) and natural language processing(NLP) technology is proposed. Based on the analysis on the application scenarios of fault reasoning, the overall architecture and key technologies of the intelligent fault reasoning method are expounded. The feasibility of the intelligent fault reasoning method that does not rely on man-made rules is verified by the data of application tests,and the LSTM-RNN works better than other machine learning algorithms in the scenarios that time sequence of signals can be memorized.

    Event-triggered finite-time control for non-linear systems with input hysteresis
    MA Canhong, HUANG Zheng, YAN Yancheng, GONG Qijuan, HUANG Kunfeng
    2022, 44(12):  18-24.  doi:10.3969/j.issn.2097-0706.2022.12.003
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    Aiming at the problem of adaptive compensation event triggered control for uncertain nonlinear systems with input hysteresis,a fuzzy approximation method is proposed to approximate the uncertainties in nonlinear systems. In a backstepping framework,a fuzzy adaptive event triggered compensation control method is designed,and an adaptive compensation event trigger mechanism is proposed to save communication resources. Based on the design,a finite-time control method is designed to ensure that the system state is bounded. Finally,the simulation experiment proves that the method reduces the occupancy of communication resource and effectively guarantees the stability of the system.

    Research on the new power distribution IoT operation and maintenance technology based on cloud-edge collaboration
    ZHANG Xiaorui, JI Ling, FAN Zhongming
    2022, 44(12):  25-32.  doi:10.3969/j.issn.2097-0706.2022.12.004
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    Power distribution networks cover a wide area and connect a massive amount of equipment,which requires substantial manpower to perform inspection by traditional methods.Considering the scarcity of labor force and aging problems of the equipment,it is urgent to replace the manual inspection with automated means.With the development of cloud platform,big data,IoT and integrated energy technologies,the technical architecture of a power distribution IoT operation and maintenance system is evolving with the digital transformation.Problems such as massive information access,unification of models for multi-source devices and cloud data security become increasingly prominent.Thus,a new power distribution IoT operation and maintenance system integrated cloud-edge collaboration and edge autonomy is proposed.The cloud-edge fusion system makes decisions at "cloud" end,implements intelligent computing closer to "edges" and makes collaborative operation and maintenance for cloud and edge.The system is flexible,efficient,open and intelligent,laying a solid foundation for the infrastructure construction of power distribution networks for integrated energy.

    Research and prospect of advanced distribution management system for the digital and intelligent transformation of distribution network
    XIA Xue, ZHANG Ruixi, WANG Lei, DING Ran, ZHAN Yan
    2022, 44(12):  33-39.  doi:10.3969/j.issn.2097-0706.2022.12.005
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    Confronting current energy reform and power system development,there has been substantial changes in the operation and planning of distribution networks.To cope with the challenges of digital and intelligent transformation of distribution networks,cutting-edge information and communication technology,diversified control structure and advanced application algorithm are integrated into advanced distribution management system.After the introduction on the core functions,key technologies and expected benefits of the advanced distribution management system,a multi-stage evolution route for the advanced distribution management system platform construction and development is proposed based on its technical concept and practical application.The route provides a useful reference for the construction of future distribution system with high-penetration renewable energy sources,high integration with the physical information network and interaction between power sources,grids,loads and energy storages.

    Integrated Energy System
    Research on the integrated energy system and the electricity market towards new prosumers
    HOU Luyang, GE Leijiao, WANG Biao, WANG Xuanyuan, XU Lianming, WANG Li
    2022, 44(12):  40-48.  doi:10.3969/j.issn.2097-0706.2022.12.006
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    Energy Internet provides a new sharing platform for the energy supply of integrated energy systems, and Internet of Things and Artificial Intelligence (AI) technologies are driving the transformation of traditional energy consumers to prosumers with AI and economic attributes. However, the participation of distributed energy and energy prosumers brings challenges to the model optimization of integrated energy systems and electricity market design, calling for the development of AI-based integrated solution framework to deal with the optimal allocation of resources, multi-energy complementation and distributed decision-making. To facilitate the fusion of energy prosumers and distributed energy resources into integrated energy systems, the multi-energy complementation and source-grid-power-storage coordinated control of integrated energy systems are studied, and the social and economic characteristics of energy prosumers are analyzed. A comprehensive solution framework taking advantages of game theory, operations research and machine learning is proposed to solve the aforementioned issues. With the support of digital twin and simulation techniques, an electricity market based on digital twin and simulation techniques is constructed to realize the connection and interaction between prosumers and integrated energy systems. The method provides the theoretical guidance and technical support for the establishment of a clean, low-carbon, safe, and efficient energy system and advances the carbon neutrality target.

    Study on the correlation of wind turbine variables under different conditions
    CUI Shuangshuang, SUN Shanxun
    2022, 44(12):  49-55.  doi:10.3969/j.issn.2097-0706.2022.12.007
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    Due to the support of government policies and the maturity of power generation technology, the offshore wind power industry has developed rapidly in recent years. In order to monitor the states of wind turbines and predict the possible high power, the correlations between wind turbine variables are studied. The SCADA system data of an offshore wind farm in Guangdong under all working conditions were collected firstly,to explore the Pearson correlation coefficient, Spearman rank correlation coefficient and Copula entropy of the important state variables of the offshore wind turbines and their applications in variable correlation description. By observing the scatter diagrams of the correlation state variables and analyzing the correlation coefficients numerically, the consistency of the three coefficients in describing the correlation of variables is obtained. Considering the influence of different operating conditions on wind turbine operating characteristics and the superiority of Copula entropy in variable correlation study, a working condition identification method based on K-means is proposed, and wind speed difference,a derived state variable varying with wind turbine operating characteristics,is presented. The correlations of characteristic state variables under working conditions classified by K-means algorithm are analyzed. The results show that the operating characteristics of wind turbines under various working conditions were greatly different, and the correlations of characteristic variables are varied, which should to be analyzed by case.

    Optimal configuration for energy storage system capacity of wind-solar-storage microgrid
    ZHOU Chengwei, LI Peng, YU Bin, YU Tianyang, MENG Wei
    2022, 44(12):  56-61.  doi:10.3969/j.issn.2097-0706.2022.12.008
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    Due to the intermittent and fluctuating characteristics of distributed energies such as solar energy and wind energy, energy storage technology is taken to effectively reduce their output fluctuations and improve their controllability. Based on the analysis on the characteristics of a wind-solar-storage microgrid's output, an optimal capacity allocation model taking the minimum total investment cost, lowest annual load power shortage rate and optimal wind and solar energy abandonment rate of the microgrid system as the optimization objectives is established. The model's optimal capacity allocation schemes under different constraints and operation strategies are obtained by non-dominated sequencing genetic algorithm (NSGA). The results show that the wind-solar-storage microgrid system optimized by the optimal energy storage capacity allocation scheme and NSGA is of a lower total investment cost, and higher power-supply reliability and energy utilization rate.

    Exploration on the transformation of energy supply enterprises to integrated energy service providers in industrial parks
    GU Jing, ZHANG Haizhen, RUAN Huifeng, LUO Chengxin, LIU Xinxi, WANG Mingxiao
    2022, 44(12):  62-67.  doi:10.3969/j.issn.2097-0706.2022.12.009
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    In order to deal with environmental pollution, greenhouse effect and energy shortage,integrated energy service is becoming an important development direction in energy industry.With the profound changes in energy production mode and energy consumption concept,new demands for integrated energy services continuously emerge.Many energy supply enterprises are transforming to integrated energy service providers.How to cultivate core competitiveness in the fierce market competition has become the key of the transformation.Taking an energy supply enterprise in an industrial park in Shanghai as an example,the supply-side transformation scheme of the enterprise shifting to a comprehensive energy service provider is made.By taking photovoltaic power generation,integrated PV-storage-charging system and other technologies,the enterprises are of better adaptability to the new energy development situation,improved service ability for users and higher profitability simultaneously.

    Study on source-grid-load-storage cooperative optimization of an electrified quay from the perspective of zero carbon
    DUN Wenbin, CHEN Ye, WANG Dawei, MA Xiaohui
    2022, 44(12):  68-74.  doi:10.3969/j.issn.2097-0706.2022.12.010
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    On the way to achieve "dual carbon" target,deep electrification of port transportation systems and multi-element integration of smart microgrids are the results of transportation and energy interconnection. A source-grid-load-storage cooperative optimization model of an electrified quay aiming at minimizing the purchase cost of electricity is constructed. The model takes power balance constraint, power purchase-sale constraint, wind-PV power output constraint, energy storage output constraint and transferable load constraint into consideration. Taking the Section C quay of Tianjin Port as the example, three typical days with the source approximately equals to load, larger than load and smaller than load are selected for the case study. And the operation performances under three regulation schemes, regulating energy storage only, regulating transferable load only and cooperatively regulating storage and load, are verified. The simulation results show that the three schemes can realize the source-grid-load-storage timing regulation, reduce the cost and increase the revenue of the quay. Energy storage plays the dominant role in operation regulation. In the scenario that the source approximately equals to load, the cooperative regulating scheme can cut the original cost by 15.34%,showing the best performance. Finally, the results of carbon emission reduction are discussed. It is concluded that "zero carbon emissions" of a quay is affected by multiple factors, such as time-series characteristics of source and load, time-of-use price, quantity of purchased and sold and accounting boundary, but it is not strictly positively correlated with the minimization of power purchase cost.

    Research on the development path of integrated energy service platforms for power generation enterprises in value chain reconstruction
    HUANG Baole, LI Peng, XING Zheng, GAO Bo, ZHAO Jing
    2022, 44(12):  75-80.  doi:10.3969/j.issn.2097-0706.2022.12.011
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    Building integrated energy service platforms that integrate internet and advanced information technologies with energy production,transmission,storage,consumption and marketing is a new development form of "Internet + "smart energy industry.Firstly,based on the summary on the current situation of integrated energy service platforms,the importance of the platform for the development of integrated energy services is expounded.Then,a development path for integrated energy service platforms of power generation enterprises is proposed which includes energy supply,market transaction and services into its value chain.The path improves the core competitiveness of the platform by matching supply and demand and providing diversified services,common services and energy management.Finally,the overall architecture and core business functions of the platform are described in detail,and the supports of data mining analysis technology and service package recommendation technology are studied.The path provides a feasible scheme for the design,development and application of an integrated energy service platform for power generation enterprises.