Energy Conversion and Economics最新文献_第6页

Deep learning for cybersecurity in smart grids: Review and perspectives 智能电网网络安全的深度学习：回顾与展望

Energy Conversion and Economics Pub Date : 2023-06-28 DOI: 10.1049/enc2.12091

Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, Huan Zhao, Jing Qiu, Fushuan Wen, Zhao Yang Dong

{"title":"Deep learning for cybersecurity in smart grids: Review and perspectives","authors":"Jiaqi Ruan, Gaoqi Liang, Junhua Zhao, Huan Zhao, Jing Qiu, Fushuan Wen, Zhao Yang Dong","doi":"10.1049/enc2.12091","DOIUrl":"https://doi.org/10.1049/enc2.12091","url":null,"abstract":"Protecting cybersecurity is a non-negotiable task for smart grids (SG) and has garnered significant attention in recent years. The application of artificial intelligence (AI), particularly deep learning (DL), holds great promise for enhancing the cybersecurity of SG. Nevertheless, previous surveys and review articles have failed to comprehensively investigate the intersection between DL and SG cybersecurity. To address this gap, this study presents a survey of the latest advancements in DL technology and their relevance to SG cybersecurity. First, the functional mechanisms and scope of application of common DL techniques are explored. Subsequently, SG cyberthreats are categorised into distinct types of cyberattacks that have not been systematically examined in previous surveys. Based on this, a thorough review of the application of DL techniques in addressing each cyberthreat along with recommendations and a generalised framework for enhancing cyberattack detection using DL is offered. Finally, insights are provided into the emerging challenges presented by DL applications in SG cybersecurity that are yet to be widely acknowledged, and potential research avenues are proposed to address or alleviate these challenges.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 4","pages":"233-251"},"PeriodicalIF":0.0,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50123897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Optimal decision-making method of transmission lines' maintenance sequence under extreme ice disasters 极端冰灾害下输电线路检修顺序的优化决策方法

Energy Conversion and Economics Pub Date : 2023-06-08 DOI: 10.1049/enc2.12090

Haitao Wang, Zedong Yang, Ning Wang, Haiyang Jiang, Yu Cui, Jinchi Han, Shuguang Li, Changjiang Wang

{"title":"Optimal decision-making method of transmission lines' maintenance sequence under extreme ice disasters","authors":"Haitao Wang, Zedong Yang, Ning Wang, Haiyang Jiang, Yu Cui, Jinchi Han, Shuguang Li, Changjiang Wang","doi":"10.1049/enc2.12090","DOIUrl":"https://doi.org/10.1049/enc2.12090","url":null,"abstract":"Prolonged exposure of power transmission lines to extreme ice disasters in the atmosphere disrupts transmission. First, this study establishes a comprehensive failure probability model for the impact of extreme ice disasters on the transmission lines to better understand and improve the transmission lines' ability to withstand such disasters. It predicts the line failure probability based on the initial design data of the lines. Second, the system's weak points are identified, and the fault scenario set is established using the Monte Carlo state sampling method. Next, the system's state is calculated using the resilience assessment index and the DC optimal load reduction model. Finally, an optimal decision-making method for the transmission line maintenance sequence is proposed from the post-disaster maintenance scheduling perspective. Considering the travel time and maintenance effect, this method can effectively restore the system state in response to extreme ice disasters. The IEEE 30-bus power system is taken as an example of simulation verification. The results show that this method can effectively complete the system load state restoration and improve the transmission system's resilience. It also has certain practicality and good practical application values.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 3","pages":"171-178"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50124787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational social science in smart power systems: Reliability, resilience, and restoration 智能电力系统中的计算社会科学：可靠性、弹性和恢复

Energy Conversion and Economics Pub Date : 2023-06-07 DOI: 10.1049/enc2.12087

Jaber Valinejad, Lamine Mili, Xinghuo Yu, C. Natalie van der Wal, Yijun Xu

{"title":"Computational social science in smart power systems: Reliability, resilience, and restoration","authors":"Jaber Valinejad, Lamine Mili, Xinghuo Yu, C. Natalie van der Wal, Yijun Xu","doi":"10.1049/enc2.12087","DOIUrl":"https://doi.org/10.1049/enc2.12087","url":null,"abstract":"Smart grids are typically modelled as cyber–physical power systems, with limited consideration given to the social aspects. Specifically, traditional power system studies tend to overlook the behaviour of stakeholders, such as end-users. However, the impact of end-users and their behaviour on power system operation and response to disturbances is significant, particularly with respect to demand response and distributed energy resources. Therefore, it is essential to plan and operate smart grids by taking into account both the technical and social aspects, given the crucial role of active and passive end-users, as well as the intermittency of renewable energy sources. In order to optimize system efficiency, reliability, and resilience, it is important to consider the level of cooperation, flexibility, and other social features of various stakeholders, including consumers, prosumers, and microgrids. This article aims to address the gaps and challenges associated with modelling social behaviour in power systems, as well as the human-centred approach for future development and validation of socio-technical power system models. As the cyber–physical–social system of energy emerges as an important topic, it is imperative to adopt a human-centred approach in this domain. Considering the significance of computational social science for power system applications, this article proposes a list of research topics that must be addressed to improve the reliability and resilience of power systems in terms of both operation and planning. Solving these problems could have far-reaching implications for power systems, energy markets, community usage, and energy strategies.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 3","pages":"159-170"},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50123970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An analysis of distribution planning under a regulatory regime: An integrated framework 监管制度下的分销规划分析：一个综合框架

Energy Conversion and Economics Pub Date : 2023-06-07 DOI: 10.1049/enc2.12088

Aprajay Verma, K Shanti Swarup

{"title":"An analysis of distribution planning under a regulatory regime: An integrated framework","authors":"Aprajay Verma, K Shanti Swarup","doi":"10.1049/enc2.12088","DOIUrl":"https://doi.org/10.1049/enc2.12088","url":null,"abstract":"Distribution system planning is a multifaceted topic involving financial, regulatory, and system level analysis. The wide nature of the topic warrants a holistic study considering all aspects of analysis. The distribution utility is a natural monopoly that is subjected to utility regulation. The regulator can impact customer experience by strategically influencing the planning decisions of the utility. Hence, this paper reviews the existing utility regulation methods in the context of the distribution system and their efficacy in improving certain reliability and efficiency objectives. A two-bus system is used to demonstrate the impact of classical models in alleviating reliability and efficiency issues through demand response. Further, a review is conducted on distribution system planning models without a regulatory regime, and suitable models for holistic analysis are identified. A two-person complete information regulator and utility game with a comprehensive distribution system model at the lower level is proposed. A framework based on the Mixed Integer Bilevel Linear Program (MIBLP) is discussed to find the equilibrium point of the proposed game.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 3","pages":"179-201"},"PeriodicalIF":0.0,"publicationDate":"2023-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50124057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An optimal transport theory based approach for efficient dispatch of transactions in energy markets 基于最优运输理论的能源市场交易高效调度方法

Energy Conversion and Economics Pub Date : 2023-06-04 DOI: 10.1049/enc2.12089

Sreenivasulu Gumpu, N C Sahoo, Balakrishna Pamulaparthy

{"title":"An optimal transport theory based approach for efficient dispatch of transactions in energy markets","authors":"Sreenivasulu Gumpu, N C Sahoo, Balakrishna Pamulaparthy","doi":"10.1049/enc2.12089","DOIUrl":"https://doi.org/10.1049/enc2.12089","url":null,"abstract":"Nowadays, transactive energy markets (TEMs) are emerging as interesting frameworks in deregulated power markets to control the balance of supply and demand in the entire electrical network. Due to wide deployment of renewable energy resources, grid connected micro-grids, and open access transmission and distribution networks, the planning and operation of TEMs become complex. So, an efficient optimal dispatch model for TEMs should be developed to achieve the objectives of TEMs, such as feasible sizes of transactions and optimal dispatch of these transactions with minimal operating costs. The transactive dispatch problem is similar to the resource allocation/matching problem. Recently, optimal transport (OT) has received significant attention in various fields including optimization theory and resource matching problems due to its potency and relevance in modeling and optimization. An OT-based approach is proposed here for optimal dispatch of transactions in energy markets while minimizing the cost of transactions considering the operating constraints of the system. The proposed approach can efficiently determine the feasible sizes of transactions without any security issues. The optimal solutions of the OT-based approach are obtained using a Sinkhorn iterative technique. Also, the load uncertainties are considered in this work to analyse the impacts of load uncertainties on the optimal dispatch of transactions. The numerical simulation results on the modified IEEE 9-bus system, modified IEEE 57-bus system, modified IEEE 118-bus system, and Indian Northern Regional Power Grid (NRPG) system illustrate the efficacy of the proposed OT-based framework.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 3","pages":"213-231"},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50120653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Highly transferable adversarial attack against deep-reinforcement-learning-based frequency control 针对基于深度强化学习的频率控制的高度可转移对抗性攻击

Energy Conversion and Economics Pub Date : 2023-05-31 DOI: 10.1049/enc2.12086

Zhongwei Li, Yang Liu, Peng Qiu, Hongyan Yin, Xu Wan, Mingyang Sun

{"title":"Highly transferable adversarial attack against deep-reinforcement-learning-based frequency control","authors":"Zhongwei Li, Yang Liu, Peng Qiu, Hongyan Yin, Xu Wan, Mingyang Sun","doi":"10.1049/enc2.12086","DOIUrl":"https://doi.org/10.1049/enc2.12086","url":null,"abstract":"With the increase in inverter-based renewable energy resources, the complexity and uncertainty of low-carbon power systems have increased significantly. Deep reinforcement learning (DRL)–based approaches have been extensively studied for frequency control to overcome the limitations of traditional model-based approaches. The goal of DRL-based methods for primary frequency control is to minimise load shedding while satisfying frequency safety requirements, thereby reducing control costs. However, the vulnerabilities of DRL models pose new security threats to power systems. These threats have not been identified and addressed in the existing literature. Therefore, in this paper, a series of vulnerability assessment methods are proposed for DRL-based frequency control with a focus on the under-frequency load shedding (UFLS) problem. Three adversarial sample production methods are designed with different optimisation directions: Q-value-based FGSM (Q-FGSM), action-based JSMA (A-JSMA), and state-action-based CW (SA-CW). Furthermore, combining the advantages of the above three attack methods, a hybrid adversarial attack algorithm is designed, Q-value-state-action-based mix (QSA-MIX), to significantly affect the decision process of the DRL model. In case studies of the IEEE39 bus system, the proposed attack methods had a severe impact on system operation and control. In particular, the high attack transferability of the proposed attack algorithms in a black-box setting provides further evidence that the vulnerability of current DRL-based control schemes is prevalent.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 3","pages":"202-212"},"PeriodicalIF":0.0,"publicationDate":"2023-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50149344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Power disturbance waveform analysis and proactive application in power systems 电力扰动波形分析及其在电力系统中的主动应用

Energy Conversion and Economics Pub Date : 2023-04-24 DOI: 10.1049/enc2.12084

Xianyong Xiao, Yi Zhou, Wenhai Zhang, Yang Wang, Zixuan Zheng, Wenxi Hu

{"title":"Power disturbance waveform analysis and proactive application in power systems","authors":"Xianyong Xiao, Yi Zhou, Wenhai Zhang, Yang Wang, Zixuan Zheng, Wenxi Hu","doi":"10.1049/enc2.12084","DOIUrl":"https://doi.org/10.1049/enc2.12084","url":null,"abstract":"Power disturbances, defined as the waveform distortion of a power system under normal or abnormal conditions, contain considerable system and equipment state information. Obtaining equipment and system state information from power disturbance is very important to ensure the safety of power grids. To adapt to the development of power electronics, informatisation and digitisation of power systems, several applications with waveform-recording devices have obtained large amounts of disturbance waveform data, laying an important foundation for the analysis and application of power disturbance waveform data. First, typical disturbance waveform monitoring devices and a disturbance trigger detection algorithm are introduced. Then, disturbances are classified as switching, fault, or abnormal operations, according to the cause. The characteristics of various typical disturbance waveform data were analysed by combining the simulation and measured data. This paper summarises the application analysis of power disturbance waveform data at both the system and equipment levels. Finally, the construction scheme of a power disturbance waveform data monitoring and analysis platform for two different application scenarios was proposed for commutation failure monitoring and medium-voltage distribution network fault warning. The research conducted here is expected to support the construction of a power disturbance waveform analysis platform.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 2","pages":"123-136"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12084","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50153822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An optimization strategy for enhancing energy consumption performance in digital currency miner's building 一种提高数字货币矿工建筑能耗性能的优化策略

Energy Conversion and Economics Pub Date : 2023-04-24 DOI: 10.1049/enc2.12085

Hossein Akbarnavasi, Masoumeh Bararzadeh Ledari, Alireza Ghadertootoonchi

{"title":"An optimization strategy for enhancing energy consumption performance in digital currency miner's building","authors":"Hossein Akbarnavasi, Masoumeh Bararzadeh Ledari, Alireza Ghadertootoonchi","doi":"10.1049/enc2.12085","DOIUrl":"https://doi.org/10.1049/enc2.12085","url":null,"abstract":"Cryptocurrencies, as a way of extraction, are categorized into two main groups of non-mineable and mineable. Bitcoin (BTC), the most famous mineable digital currency, utilizes the Proof of Work (PoW) algorithm for maintaining network solidarity. Its mining process is done by devices known as application specific integrated circuits (ASICs), which consume electricity and turn it into heat. They shall operate within an accepted temperature range of around 25°C; otherwise, they will face an efficiency drop; consequently, all mining sites require a proper cooling system. This study aims to investigate the problem of high energy consumption for cooling in digital currency mining sites and to present a solution for that via optimizing the capacity and operation of the chiller and ice thermal storage system (ITS). The results show the utilization of the ITS system reduces the operational costs by 10%, and the ITS system provides 1320 kWh of cooling energy during peak hours. Finally, the sensitivity analysis results considering the impact of the electricity tariff on the size and operation of the system have confirmed that with an increase in peak time tariff, the role of the ITS system in cost reduction increases.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 2","pages":"137-157"},"PeriodicalIF":0.0,"publicationDate":"2023-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12085","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50153823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Taxonomy of outlier detection methods for power system measurements 电力系统测量中异常值检测方法的分类

Energy Conversion and Economics Pub Date : 2023-04-20 DOI: 10.1049/enc2.12082

Viresh Patel, Aastha Kapoor, Ankush Sharma, Saikat Chakrabarti

{"title":"Taxonomy of outlier detection methods for power system measurements","authors":"Viresh Patel, Aastha Kapoor, Ankush Sharma, Saikat Chakrabarti","doi":"10.1049/enc2.12082","DOIUrl":"https://doi.org/10.1049/enc2.12082","url":null,"abstract":"The new emerging technologies utilize various sensors, deployed in an ad-hoc manner to reduce energy consumption in data communication. The data collected from these sensors is huge and have a high possibility of being polluted by outliers. Therefore, researchers are trying to develop better and faster outlier detection techniques that can handle large amount of data. In this paper, the research works from the year 2000 to 2022 have been reviewed. Several fundamental and latest outlier detection methods are discussed and categorized on the basis of statistical properties, density, distance, and clustering. The other methods discussed in this paper are ensemble methods and learning-based methods. The definitions, causes of outliers, and different methods of outlier detection are discussed. Further, one of the efficient methods from each category of the method is implemented on synthetic data of the IEEE 13-bus distribution system. The IEEE 13-bus system is assumed to have a Multi-Function Meter (MFM) at each line in the system. The data captured is injected with a fixed number of outliers at a given instant. Thereafter, the performance of all the methods is tested based on the number of outliers being detected.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 2","pages":"73-88"},"PeriodicalIF":0.0,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12082","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50152574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrogen-powered smart grid resilience 氢动力智能电网弹性

Energy Conversion and Economics Pub Date : 2023-04-18 DOI: 10.1049/enc2.12083

Jiayi Han, Jianxiao Wang, Zhihao He, Qi An, Yiyang Song, Asad Mujeeb, Chin-Woo Tan, Feng Gao

{"title":"Hydrogen-powered smart grid resilience","authors":"Jiayi Han, Jianxiao Wang, Zhihao He, Qi An, Yiyang Song, Asad Mujeeb, Chin-Woo Tan, Feng Gao","doi":"10.1049/enc2.12083","DOIUrl":"https://doi.org/10.1049/enc2.12083","url":null,"abstract":"With an increasing frequency of natural disasters and security attacks, the safe and stable operation of smart grid has been challenged unprecedently. To reduce the economic loss and social impact caused by power outage accidents, it is urgent to develop and improve the smart grid technology, and strengthen the disaster resistance and recovery capability of smart grids when faced with extreme events. As an efficient and flexible secondary energy source, hydrogen is crucial in improving the resilience of smart grid and supporting energy security. To further promote the deep integration of hydrogen systems and smart grid and improve the energy system resilience, the resilience of smart grids supported by hydrogen is assessed in this study. First, a technical framework of hydrogen-powered smart grid resilience is established, and the value of hydrogen-powered smart grid resilience is analysed considering different time frames (before, during and after an extreme event) of smart grids facing extreme events. Then, hydrogen-powered smart grid resilience is investigated from perspectives of pre-prevention regulation, in-process correction regulation, and post-recovery regulation. Finally, future direction for hydrogen-powered smart grid resilience is investigated and related policy suggestions are provided.","PeriodicalId":100467,"journal":{"name":"Energy Conversion and Economics","volume":"4 2","pages":"89-104"},"PeriodicalIF":0.0,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/enc2.12083","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50136722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1