2022 4th Global Power, Energy and Communication Conference (GPECOM)最新文献_第10页

Artificial Neural Network based Cost Estimation of Power Losses in Electricity Distribution System 基于人工神经网络的配电系统损耗成本估算

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815721

Gökhan Gören, B. Dindar, Ö. Gül

{"title":"Artificial Neural Network based Cost Estimation of Power Losses in Electricity Distribution System","authors":"Gökhan Gören, B. Dindar, Ö. Gül","doi":"10.1109/gpecom55404.2022.9815721","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815721","url":null,"abstract":"Electrical energy demand is increasing day by day with developing technology and increasing population. The limitation of resources reveals the importance of efficient use of energy. While the electrical energy is delivered to the final consumer, losses occur in the transmission and distribution grids. These losses may be due to technical and non-technical reasons. Higher losses cause more energy to be produced to compensate for this loss, making the system heavy loaded. It increases the cost of electricity and reduces its quality. For these reasons, Turkish Energy Market Regulatory Authority (EMRA) determines the loss-theft ratio of distribution companies with the ceiling price application, which is a penalty-reward method, in order to increase the performance of distribution networks. Due to these regulations, distribution companies make investments in order to improve their loss-theft ratio. The location and cost of losses must be known to predict investment. Due to the variable loads in the networks, it is difficult to measure and store the losses continuously. It requires a large amount of data and it is a time consuming process. The main purpose of this study is to estimate the losses in the distribution grid using artificial neural networks (ANN) instead of calculating them. Thus, an economical and fast methodology has emerged for distribution networks. The forecast results and the actual energy losses in this study are very close. In this study, firstly, the losses in the electricity distribution networks were calculated by using the load loss factor (LLF). With the obtained data set, future predictions were made using artificial neural networks. The costs of the estimated and calculated lost energies were calculated and compared.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123912760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimal BLDC Motor Control Using a WOA-based LQR Strategy 基于woa的LQR策略的无刷直流电机最优控制

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815609

Sumit Sharma, N. Sharma, M. Bajaj, Vineet Kumar, F. Jurado, S. Kamel

引用次数: 2

Data Driven Approach for Long Term Forecasting of Renewable Energy Generation 可再生能源发电长期预测的数据驱动方法

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815777

S. Gugaliya, Durgesh D, S. Kumar, A. Sheikh

{"title":"Data Driven Approach for Long Term Forecasting of Renewable Energy Generation","authors":"S. Gugaliya, Durgesh D, S. Kumar, A. Sheikh","doi":"10.1109/gpecom55404.2022.9815777","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815777","url":null,"abstract":"With the recent issues of the fossil fuels extinction for the electricity generation there is a paradigm shift towards renewable energy sources (RES) based generation. Even though the RES are clean source of energy, it suffers from the issue of intermittency due to the dependency on environmental condition. To address this the paper focuses on the forecasting of solar and wind power generation data using the available data to mitigate the effect of electricity demand-supply mismatch and facilitate the demand-side management program. For achieving this claims the paper implements the Dynamic Mode Decomposition (DMD) algorithm for forecasting the solar and wind generation. The DMD is a strategy for predicting system states by reducing data down into its primary modes, which are derived from a series of training data. The primary modes are useful for determining the system’s behaviour and projecting future states even in a noisy environment. Using the DMD algorithm the RES such as solar and wind energy data is predicted in different test scenarios. To test the effectiveness of prediction algorithm the evaluation metrics are calculated and from the prediction results and the metrics data available it can be claimed that the DMD algorithm performs better in different case scenarios.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124397518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-Fidelity Electric Vehicle Energy Consumption Modelling and Investigation of Factors in Driving on Energy Consumption 高保真电动汽车能耗建模及行驶能耗影响因素研究

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815789

I. Kocaarslan, M. A. Zehir, Ege Uzun, Enes Can Uzun, Mustafa Emin Korkmaz, Yigit Cakiroglu

引用次数: 0

Analysis of Unicast/Broadcast Switch Over with Regard to Resource Allocation for Future Cellular Networks 基于未来蜂窝网络资源分配的单播/广播切换分析

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815805

M. Younes, Y. Louét

{"title":"Analysis of Unicast/Broadcast Switch Over with Regard to Resource Allocation for Future Cellular Networks","authors":"M. Younes, Y. Louét","doi":"10.1109/gpecom55404.2022.9815805","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815805","url":null,"abstract":"The number and variety of mobile applications are increasing at an unprecedented and unforeseen rate. To cope with the traffic growth, simultaneous Base Stations (BSs) transmission in broadcast mode will play a particularly important role, as it has been identified as one of the candidate Fifth Generation (5G) technologies, as highlighted in the Third Generation Partnership Project (3GPP) research projects and standard documents. In this context, this paper starts from a scenario of dense BSs deployments and focuses on the study and analysis of the switching threshold between unicast and broadcast cellular downlink transmission modes. Specifically, we provide the threshold number of users per BS at which the broadcast mode becomes more advantageous than the unicast mode in terms of resource utilization. This objective is achieved by considering in the modeling of the cellular network that the location of the BSs is generated according to the Poisson Point Process (PPP) instead of the traditional hexagonal model, taking into account the intercellular interference. This work also addresses the issue of the impact of the variation of some parameters such as the transmission power of the BSs, the density of the BSs, the number of antennas per sector in unicast mode (with beamforming), the size of the simultaneous transmission area in broadcast mode and the outage probability of the system, on the switching threshold under various system conditions.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134067594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market 基于Keras的土耳其日前电力市场出清价格预测

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815603

Mikail Purlu, B. Turkay, Cenk Andic, E. Aydin, Bilal Canol, Burak Kucukaslan

{"title":"Market-Clearing Price Forecasting Using Keras in Turkish Day-Ahead Electricity Market","authors":"Mikail Purlu, B. Turkay, Cenk Andic, E. Aydin, Bilal Canol, Burak Kucukaslan","doi":"10.1109/gpecom55404.2022.9815603","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815603","url":null,"abstract":"The market-clearing price determined in the electricity market is of great importance for the market players trading in electricity. The market-clearing price constitutes the core of the buying and selling transactions in the electricity market. Knowing what the price of the product, service or commodity to be bought and / or sold would be, provides a great competitive advantage to the relevant party over the person or organization carrying out the relevant commercial activity. It is important to successfully predict the market-clearing price in the market in order to set strategy and game plan and implement risk management. For this purpose, in this study, a model using only publicly available input data on Keras, a deep learning library, is used to predict hourly market-clearing price in Turkish Day-Ahead Electricity Market. Despite the high economic and financial uncertainty and price fluctuations in 2021, the proposed model showed a high performance with a MAPE value of 2.5% and it is clear that the model is successful and applicable in real market conditions.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"63 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131874001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Protection and Operating Scheme Integrated into a Grid-Edge Microgrid 一种集成到电网边缘微电网的保护和运行方案

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815714

K. Wheeler, Harun Buyukkocabas, Michael Simone, Jia Guo, Elizabeth Lee, Bryan Winger

引用次数: 1

An Estimation Algorithm for Distributed Hierarchical Control Used in Microgrids 微电网中分布式层次控制的估计算法

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815771

A. Calpbinici, E. Kabalci, E. Irmak

引用次数: 1

Experimental Impact Analysis of the Refrigerator Cable Distributions on Conducted Electromagnetic Emission 电冰箱电缆分布对传导电磁辐射影响的实验分析

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815723

Arda Maro, Gokturk Poyrazoglu

引用次数: 0

Verifiable Security and Privacy Provisioning Protocol for High Reliability in Smart Healthcare Communication Environment 面向智能医疗通信环境的高可靠性可验证安全与隐私配置协议

2022 4th Global Power, Energy and Communication Conference (GPECOM) Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815685

V. O. Nyangaresi, Z. Abduljabbar, Junchao Ma, Mustafa A. Al Sibahee

{"title":"Verifiable Security and Privacy Provisioning Protocol for High Reliability in Smart Healthcare Communication Environment","authors":"V. O. Nyangaresi, Z. Abduljabbar, Junchao Ma, Mustafa A. Al Sibahee","doi":"10.1109/gpecom55404.2022.9815685","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815685","url":null,"abstract":"Critical patient data collected by body sensor units and transmitted over public wireless communication channels is exposed to numerous privacy and security attacks. As such, there is need for deployment of robust security solutions to uphold integrity, confidentiality and availability. In addition, the resource constrained nature of sensor nodes require efficient authentication protocols in terms of computation power, energy, bandwidth and storage requirements. To this end, many protocols based on public key infrastructure, blockchain and bilinear pairings are unsuitable for deployment in these sensor networks. Apart from efficiency shortfalls, most of the conventional security protocols cannot withstand majority of the typical wireless body area networks attacks. To this effect, a verifiable security and privacy provisioning protocol based on elliptic curve is presented in this paper. The reliability of the proposed is demonstrated via its robustness under Dolev–Yao (D-Y) and Canetti-Krawczyk (CK) threat models. On the other hand, its lightweight and efficient nature is investigated using execution time and bandwidth requirements, which are shown to be the least when compared with other schemes.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"26 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122585823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4