M. Khamitova, Medet Auyenur, Bagdat Kamalbayev, H. Kumar Nunna, S. Doolla
{"title":"A Novel Adaptive Relaying Scheme for Distribution Networks with DG by considering Fault Severities","authors":"M. Khamitova, Medet Auyenur, Bagdat Kamalbayev, H. Kumar Nunna, S. Doolla","doi":"10.1109/SEST48500.2020.9203464","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203464","url":null,"abstract":"The power distribution networks are radially structured, with fuses, reclosures for temporary faults, and relays. After the connection of Distributed Generation (DG) to the power system, it is subject to the in-feed effect which results in different currents flowing through primary and backup relays. Thus, predefined coordination time interval (CTI) will be changed, which in turn, leads to the violence of coordination rule between the relays. This paper proposes a novel adaptive protection scheme for the power network integrated with DG which takes the severity of the fault current into account. Thus, the higher the magnitude of the fault current, the faster will be the breaker action and fault isolation. The solution is to adjust the variable relay parameters including Time Dial Setting (TDS) and Plug Setting (PS) of Inverse Definite Minimum Time (IDMT) relays. According to the proposed algorithm, the relay settings are updated based on the status of the breaker connected to the DG. The paper implemented IEEE 33-bus power distribution network to analyze the influence of DG on the operations of primary and backup relays and to test the proposed algorithm. The simulation results showed that the proposed scheme is effective in maintaining CTI in distribution systems with PV involvement.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116118749","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}
{"title":"Specific and generic unsupervised algorithms for NILM applications","authors":"Gilles Jacobs, P. Henneaux","doi":"10.1109/SEST48500.2020.9203555","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203555","url":null,"abstract":"In a domestic context, NILM applications (Non-Intrusive Load Monitoring) allow users to know their electric consumption per appliance without having to install sensors for each appliance in their house. The aim of this paper is to present an unsupervised approach of the disaggregation problem. This paper follows 3 papers on the same topic. Each of these papers corresponds to a specific building block of the approach described in this paper. This paper aims at giving a top view of our general approach and draws the links between our 3 previous papers.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116453200","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}
{"title":"Local Energy Market Strategy based on the Study of Interconnected Microgrids","authors":"Kittisak Intaprom, P. Wirasanti","doi":"10.1109/SEST48500.2020.9203300","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203300","url":null,"abstract":"Recently, one of the microgrid developments is interested in the energy trading sector to establish local energy market in the distribution system. To understand the microgrids in the energy market, an energy trading strategy in the local energy market based on the study of interconnected microgrids (IMGs), is presented in this paper. The proposed energy trading strategy is introduced in three process layers, i.e., business layer, information layer, and physical layer. The business layer is the dominant layer. It assigns the amount of energy that IMGs have to trade. Consequently, a decision-making process is essential. This paper then proposes fuzzy logic and arithmetic weight method for the decision-making process to calculate the net market demand profile for IMGs. As a result of the business layer, the MGs have to follow the dispatch profile, called the physical layer. This paper utilizes economic dispatch to minimize generation costs. The interaction between a business operator and the microgrid operators is operated via the information layer. To demonstrate the energy trading strategy, evaluate the decision-making process, and economic dispatch, the simulation in DIgSILENT Powerfactory and MATLAB is developed to present the local energy trading with IMGs. As a result, the strategy shows how IMGs can be participated in the day-ahead market of the local energy market.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126556029","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}
{"title":"Operation Management for Next-Generation of MVDC Shipboard Microgrids","authors":"Zahra Shajari, J. Guerrero, M. Hossein Javidi","doi":"10.1109/SEST48500.2020.9203288","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203288","url":null,"abstract":"Next generation of shipboard microgrids should be adaptable with different types of power sources to address a solution for the growing demand of energy, rising energy prices and environmental pollution reduction. In addition, they should supply complicated power consumers. To achieve these purposes, there is an increasing focus on integration of Alternative Power Sources (APSs) and Energy Storage Systems (ESSs) for future modern ships. These efforts have led to more complex Shipboard Power Systems (SPS) than traditional alternatives. Moreover, SPSs may operate in various operating states. Hence, exact evaluation of system dynamic behaviors has become a major concern and require an effective simulation-based modeling. This paper developed modeling and simulation of All-Electric Ship (AES) based on Medium Voltage Direct Current (MVDC) power system using APSs and ESSs in order to investigate the dynamic performance of Next-Generation MVDC-SPS. The proposed simulation-based Model has been studied in different operational modes consist of normal, alert, emergency and restorative states in MATLAB/Simulink tool. The obtained results verify the model performance.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129059456","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}
{"title":"Participation of High-Temperature Heat and Power Storage System coupled with a Wind Farm in Energy Market","authors":"Mohammad Ali Lasemi, A. Arabkoohsar","doi":"10.1109/SEST48500.2020.9203502","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203502","url":null,"abstract":"One of the main challenges of energy storage units in renewable power plants is determining an efficient and optimal energy trading strategy as the majority of the electricity should be traded in the day-ahead market when no highly-accurate forecast data about wind energy availability is in access. High-Temperature Heat and Power Storage (HTHPS) system is a new energy storage technology that has received special interest from the leading energy companies in Northern Europe. In this paper, a novel model is presented to determine the optimal participation of the HTHPS system coupled with a wind farm in the energy market including the heat and electricity market. It is supposed that the owner of the mentioned system makes a decision based on forecasted data for wind generation and energy prices. The proposed problem is introduced in the optimization problem framework as a non-convex optimization problem. The simulation is carried out on a real case study related to a wind farm in Denmark coupled with an air-based HTHPS system and the results reveal the significant efficiency and appropriate performance of the proposed model to detect the best bidding strategy.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130353160","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}
{"title":"Smart LED Lighting System for Energy Efficient Industrial and Commercial LVDC Nanogrid Powered Buildings with BIPV","authors":"A. Shankar, V. K., B. Babu, A. Durusu","doi":"10.1109/SEST48500.2020.9203067","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203067","url":null,"abstract":"Due to rapid urbanization, inclination in the energy demand has been experienced in the recent years which posed the threat of energy security and global warming. Artificial lighting in buildings shares an impactful amount of energy consumption, which needs to be minimize. Semitransparent building integrated photovoltaic (BIPV) cells have the potential of generating clean energy and allowing the daylight harvesting in the building, which can minimize the energy consumption across lighting by a great extent. In this paper opportunities of energy saving across low voltage DC (LVDC) nanogrid powered LED lighting in an industrial building by considering daylight harvesting and BIPV cells has been investigated. Results reflects that a significant amount of energy can be conserved across LED lighting by utilizing BIPV cells which allows daylight through it in the room. Moreover, a notable amount of clean energy can also be generated using semitransparent BIPV cells.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122404881","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}
Pablo Diaz-Cachinero, J. I. Muñoz-Hernandez, J. Contreras
{"title":"A Probability-Based Algorithm for Electric Vehicle Behaviour in a Microgrid with Renewable Energy and Storage Devices","authors":"Pablo Diaz-Cachinero, J. I. Muñoz-Hernandez, J. Contreras","doi":"10.1109/SEST48500.2020.9203106","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203106","url":null,"abstract":"The recent growth in the use of Electric Vehicles (EVs) in transportation systems has increased their importance in electrical power systems. In unison, new entities and ways of operating electrical power systems have emerged. An example of this is the concept of microgrid. In this paper, a probability-based algorithm is developed to simulate the behaviour of EVs. This algorithm is based on data of initial State of Charge (SOC), plugin/out times, types of vehicles and chargers. The algorithm uses the Monte Carlo method to perform its simulations. Also, a two-stage stochastic energy scheduling model for a Microgrid (MG) is proposed to make a day-ahead optimal decision in the first stage. Real-time operations, including wind/solar power, baseload demand and the EV demand variability, are minimised in the second stage. Finally, the model is tested in a case study to verify its correct behaviour and applicability. The case study is implemented using profiles obtained from historical data and the algorithm developed for that purpose.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124193934","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}
{"title":"Distributed Machine Learning for Resilient Operation of Electric Systems","authors":"M. Hadi Amini, Ahmed Imteaj, J. Mohammadi","doi":"10.1109/SEST48500.2020.9203368","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203368","url":null,"abstract":"Power system resilience is crucial to ensure secure energy delivery to electricity consumers. Power system outages lead to economical and societal burdens for the society and industries. To mitigate the socio-economical impacts of a power outage, we need to develop efficient algorithms to ensure resilient operation of the power system. In this paper, we first explain the notion of data-driven resilience. Then, we present a pathway of leveraging edge intelligence to improve resilience. To this end, we propose a novel distributed machine learning paradigm. Our proposed structure relies on local Resilience Management Systems (RMS) that serve as intelligent decision-making entities in each area, e.g. an autonomous micro-grid or a smart home can act as RMS. The RMS agents, which are available in different areas, can share their local data (i.e., a microgrid's operational data) with their neighboring RMS to coordinate their decisions in a distributed fashion. This will provide two major advantages: 1) distributed intelligence replaces centralized decision-making leading to robust decision-making and enhanced resilience; 2) since local data are locally shared among all entities within an RMS, if one of the RMS agents fails to communicate with the rest of network, we still can maintain a feasible solution (which is not necessarily optimal). Finally, we presents different scenarios in the simulation results section that showcases the system performance for two buildings under various outage scenarios.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128016625","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}
Mohammad Amin Jarrahi, Farzad Roozitalab, M. Arefi, M. Javadi, J. Catalão
{"title":"DC Microgrid Energy Management System Containing Photovoltaic Sources Considering Supercapacitor and Battery Storages","authors":"Mohammad Amin Jarrahi, Farzad Roozitalab, M. Arefi, M. Javadi, J. Catalão","doi":"10.1109/SEST48500.2020.9203135","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203135","url":null,"abstract":"The tendency to use renewable energies in DC microgrids (MGs) has been increased in the past decades. Due to the unpredictable behavior of renewable resources, it is vital to utilize energy storage resources in the MG structure. The generation sources and storages in DC MGs should be chosen in order to meet the maximum demand in both grid-connected and islanded mode. Also, penetration of power electronic based devices is essential to connect these resources to the network. The control of these devices are another challenge in this regard. So, a proper configuration along with an efficient control approach is needed for development of DC MGs. In this paper, a new structure for DC MG is presented which includes solar photovoltaic (PV) as generation sources and supercapacitor and battery as storages. Furthermore, an innovative control method based on voltage variations is introduced for the proposed structure. It is shown that simultaneous usage of battery and supercapacitor improves the performance of the MG in handling the abrupt load changes in the both grid-connected and islanded mode operations. To evaluate the performance of the proposed structure and control algorithm, different conditions are simulated in MATLAB/Simulink software and the results are presented. The results confirm a high degree of performance for proposed structure and control method.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121250523","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}
André Kummerow, Cristian Monsalve, Dennis Rösch, Kevin Schäfer, S. Nicolai
{"title":"Cyber-physical data stream assessment incorporating Digital Twins in future power systems","authors":"André Kummerow, Cristian Monsalve, Dennis Rösch, Kevin Schäfer, S. Nicolai","doi":"10.1109/SEST48500.2020.9203270","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203270","url":null,"abstract":"Reliable and secure grid operations become more and more challenging in context of increasing IT/OT convergence and decreasing dynamic margins in today’s power systems. To ensure the correct operation of monitoring and control functions in control centres, an intelligent assessment of the different information sources is necessary to provide a robust data source in case of critical physical events as well as cyber-attacks. Within this paper, a holistic data stream assessment methodology is proposed using an expert knowledge based cyber-physical situational awareness for different steady and transient system states. This approach goes beyond existing techniques by combining high-resolution PMU data with SCADA information as well as Digital Twin and AI based anomaly detection functionalities.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"102 Suppl 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129072144","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}