iEnergy最新文献_第10页

Shaping future low-carbon energy and transportation systems: Digital technologies and applications 塑造未来低碳能源和交通系统：数字技术和应用

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0040

Jie Song;Guannan He;Jianxiao Wang;Pingwen Zhang

引用次数: 9

High-entropy strategy applied to dielectric energy storage 高熵策略在介质储能中的应用

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0023

Qi Li

引用次数: 0

Fully privacy-preserving distributed optimization in power systems based on secret sharing 基于秘密共享的电力系统完全隐私保护分布式优化

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0045

Nianfeng Tian;Qinglai Guo;Hongbin Sun;Xin Zhou

{"title":"Fully privacy-preserving distributed optimization in power systems based on secret sharing","authors":"Nianfeng Tian;Qinglai Guo;Hongbin Sun;Xin Zhou","doi":"10.23919/IEN.2022.0045","DOIUrl":"https://doi.org/10.23919/IEN.2022.0045","url":null,"abstract":"With the increasing development of smart grid, multi-party cooperative computation between several entities has become a typical characteristic of modern energy systems. Traditionally, data exchange among parties is inevitable, rendering how to complete multiparty collaborative optimization without exposing any private information a critical issue. This paper proposes a fully privacy-preserving distributed optimization framework based on secure multi-party computation (SMPC) with secret sharing protocols. The framework decomposes the collaborative optimization problem into a master problem and several subproblems. The process of solving the master problem is executed in the SMPC framework via the secret sharing protocols among agents. The relationships of agents are completely equal, and there is no privileged agent or any third party. The process of solving subproblems is conducted by agents individually. Compared to the traditional distributed optimization framework, the proposed SMPC-based framework can fully preserve individual private information. Exchanged data among agents are encrypted and no private information disclosure is assured. Furthermore, the framework maintains a limited and acceptable increase in computational costs while guaranteeing optimality. Case studies are conducted on test systems of different scales to demonstrate the principle of secret sharing and verify the feasibility and scalability of the proposed methodology.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"1 3","pages":"351-362"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9732629/9954281/09954351.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50209357","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: 3

Computing for power system operation and planning: Then, now, and the future 电力系统运行和规划的计算：当时、现在和未来

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0037

Yousu Chen;Zhenyu Huang;Shuangshuang Jin;Ang Li

引用次数: 3

Programmable heating and quenching for non-equilibrium thermochemical synthesis 非平衡热化学合成的可编程加热和淬火

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0020

Hao Zhao;Yangyang Fu

引用次数: 0

Resilient power grid for smart city 智能城市弹性电网

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0043

Yonghua Song;Can Wan;Xuejun Hu;Hongpei Qin;Kengweng Lao

{"title":"Resilient power grid for smart city","authors":"Yonghua Song;Can Wan;Xuejun Hu;Hongpei Qin;Kengweng Lao","doi":"10.23919/IEN.2022.0043","DOIUrl":"https://doi.org/10.23919/IEN.2022.0043","url":null,"abstract":"Modern power grid has a fundamental role in the operation of smart cities. However, high impact low probability extreme events bring severe challenges to the security of urban power grid. With an increasing focus on these threats, the resilience of urban power grid has become a prior topic for a modern smart city. A resilient power grid can resist, adapt to, and timely recover from disruptions. It has four characteristics, namely anticipation, absorption, adaptation, and recovery. This paper aims to systematically investigate the development of resilient power grid for smart city. Firstly, this paper makes a review on the high impact low probability extreme events categories that influence power grid, which can be divided into extreme weather and natural disaster, human-made malicious attacks, and social crisis. Then, resilience evaluation frameworks and quantification metrics are discussed. In addition, various existing resilience enhancement strategies, which are based on microgrids, active distribution networks, integrated and multi energy systems, distributed energy resources and flexible resources, cyber-physical systems, and some resilience enhancement methods, including probabilistic forecasting and analysis, artificial intelligence driven methods, and other cutting-edge technologies are summarized. Finally, this paper presents some further possible directions and developments for urban power grid resilience research, which focus on power-electronized urban distribution network, flexible distributed resource aggregation, cyber-physical-social systems, multi-energy systems, intelligent electrical transportation and artificial intelligence and Big Data technology.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"1 3","pages":"325-340"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9732629/9954281/09954283.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50329298","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: 7

Significantly improved high-temperature energy storage performance of commercial BOPP films by utilizing ultraviolet grafting modification 利用紫外线接枝改性显著提高商用BOPP薄膜的高温储能性能

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0046

Qingguo Chi;Tianqi Wang;Changhai Zhang;Hainan Yu;Xindong Zhao;Xu Yang;Qingquan Lei;Hong Zhao;Tiandong Zhang

{"title":"Significantly improved high-temperature energy storage performance of commercial BOPP films by utilizing ultraviolet grafting modification","authors":"Qingguo Chi;Tianqi Wang;Changhai Zhang;Hainan Yu;Xindong Zhao;Xu Yang;Qingquan Lei;Hong Zhao;Tiandong Zhang","doi":"10.23919/IEN.2022.0046","DOIUrl":"https://doi.org/10.23919/IEN.2022.0046","url":null,"abstract":"Commercial biaxially oriented polypropylene (BOPP) film capacitors have been widely applied in the fields of electrical and electronic engineering. However, due to the sharp increase in electrical conduction loss as the temperature rises, the energy storage performance of BOPP films seriously degrades at elevated temperatures. In this study, the grafting modification method is facile and suitable for large-scale industrial manufacturing and has been proposed to increase the high-temperature energy storage performance of commercial BOPP films for the first time. Specifically, acrylic acid (AA) as a polar organic molecular is used to graft onto the surface of commercial BOPP films by using ultraviolet irradiation (abbreviated as BOPP-AA). The results demonstrate that the AA grafting modification not only slightly increases the dielectric constant, but also significantly reduces the leakage current density at high-temperature, greatly improving the high-temperature energy storage performance. The modified BOPP-AA films display a discharged energy density of 1.32 J/cm\u0000<sup>3</sup>\u0000 with an efficiency of >90% at 370 kV/mm and 125 °C, which is 474% higher than that of the pristine BOPP films. This work manifests that utilizing ultraviolet grafting modification is a very efficient way to improve the high-temperature energy storage performance of commercial BOPP films as well as provides a hitherto unexplored opportunity for large-scalable production applications.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"1 3","pages":"374-382"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9732629/9954281/09954350.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50329296","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: 3

Equilibrium mechanism between dc voltage and ac frequency for ac-dc interlinking converters 交直流互联变换器直流电压与交流频率的平衡机制

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0042

Haixu Shi;Kai Sun;Xiaochao Hou;Yunwei Li;Haihao Jiang

引用次数: 1

Shaping future low-carbon renewable energy systems 塑造未来低碳可再生能源系统

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0047

引用次数: 0

Adaptive probabilistic load forecasting for individual buildings 单栋建筑的自适应概率负荷预测

iEnergy Pub Date : 2022-09-01 DOI: 10.23919/IEN.2022.0041

Chenxi Wang;Dalin Qin;Qingsong Wen;Tian Zhou;Liang Sun;Yi Wang

{"title":"Adaptive probabilistic load forecasting for individual buildings","authors":"Chenxi Wang;Dalin Qin;Qingsong Wen;Tian Zhou;Liang Sun;Yi Wang","doi":"10.23919/IEN.2022.0041","DOIUrl":"https://doi.org/10.23919/IEN.2022.0041","url":null,"abstract":"Building-level load forecasting has become essential with the support of fine-grained data collected by widely deployed smart meters. It acts as a basis for arranging distributed energy resources, implementing demand response, etc. Compared to aggregated-level load, the electric load of an individual building is more stochastic and thus spawns many probabilistic forecasting methods. Many of them resort to artificial neural networks (ANN) to build forecasting models. However, a well-designed forecasting model for one building may not be suitable for others, and manually designing and tuning optimal forecasting models for various buildings are tedious and time-consuming. This paper proposes an adaptive probabilistic load forecasting model to automatically generate high-performance NN structures for different buildings and produce quantile forecasts for future loads. Specifically, we cascade the long short term memory (LSTM) layer with the adjusted Differential ArchiTecture Search (DARTS) cell and use the pinball loss function to guide the model during the improved model fitting process. A case study on an open dataset shows that our proposed model has superior performance and adaptivity over the state-of-the-art static neural network model. Besides, the improved fitting process of DARTS is proved to be more time-efficient than the original one.","PeriodicalId":100648,"journal":{"name":"iEnergy","volume":"1 3","pages":"341-350"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/9732629/9954281/09954286.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50209358","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: 3