W. Xiong, Li Wang, Renbo Wu, Zhiwei Yang, Hao Liu, T. Bi
{"title":"Method for Identifying PMU Bad Data Based on Long Short-Term Memory Network","authors":"W. Xiong, Li Wang, Renbo Wu, Zhiwei Yang, Hao Liu, T. Bi","doi":"10.1109/SPIES48661.2020.9242974","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9242974","url":null,"abstract":"Phasor measurement units (PMUs) have become one of the most effective tools for state awareness of power systems. However, the complex environment caused PMU data to have quality problems such as data loss, which seriously affected its applications in power systems. This paper proposes a method for identifying PMU bad data based on long short-term memory (LSTM) network. First, the advantages of LSTM in bad data identification are analyzed. Based on the advantages, a two-layer network is constructed, and a decomposition and reconstruction method for original data is proposed. On this basis, two objective functions are defined, and different error characteristics are obtained. A method for determining the threshold of bad data based on decision tree is proposed to realize the identification of bad data. The results by simulations and field data verified PMU data quality is improved, making it better applied to all aspects of the power system.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125257355","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}
Khaidir Ali, L. M. Putranto, Adha Imam, Tumiran, Muhammad Yasirroni
{"title":"Determination of Optimal PV Energy Share Considering Voltage Stability Index","authors":"Khaidir Ali, L. M. Putranto, Adha Imam, Tumiran, Muhammad Yasirroni","doi":"10.1109/SPIES48661.2020.9243039","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243039","url":null,"abstract":"In this study, the FPA (flower pollination algorithm) method is used for optimize the location and capacity of photovoltaic distributed considering voltage stability index (VSI). The proposed method is used in the KTN 03 bus system case study (Yogyakarta city). This operation is conducted for a half-day (10:00 AM - 2:00 PM) operation. There are two scenarios used in this study. Scenario 1 with PV placed on one bus and scenario 2 assuming all buses can be installed PV.The value generated in the two-scenario simulation, the total loss becomes 3.060 MW in scenario 1 and 3.1459 MW in scenario 2. Increased stability index values are seen on all lines. However, the smallest VSI values were obtained at lines 9, 18, and 35. The total energy loss in scenario 1 is 1.5300 MWh and scenario 2 is 1.5729 MWh. The PV energy share was obtained for 4.72% and 5.86% in both scenarios.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"44 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117327992","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}
L. Handayani, A. Abu‐Siada, S. Suwarno, N. Hariyanto, M. Djalal
{"title":"Power System Performance Enhancement using Superconducting Magnetic Energy Storage unit and Proportional Integral Derivative Control","authors":"L. Handayani, A. Abu‐Siada, S. Suwarno, N. Hariyanto, M. Djalal","doi":"10.1109/SPIES48661.2020.9242922","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9242922","url":null,"abstract":"Frequency oscillations in power systems may occur due to sudden load change or system disturbance. Such oscillations may result in unsynchronized and undamped signals. In a multi machine system where all generators must operate in synchronism, undamped oscillations may lead to instability. To overcome this issue, this paper proposes a damping control scheme consisting of Superconducting Magnetic Energy Storage (SMES) and Proportional Integral Differential (PID) controller to effectively damp frequency oscillations in multi-machine systems. Control parameters of the proposed SMES-PID system are tuned using Particle Swarm Optimization (PSO) algorithm. Simulation results reveal the effectiveness of the proposed controller in damping the frequency oscillations and maintain system dynamic and transient stability during various disturbance events. It is shown the design can find better quality solution in minimizing overshoot at frequency variations up to 78 % and accelerating the settling time up to 67 %.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"626 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467522","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}
S. Alzahrani, R. Shah, N. Mithulananthan, A. Sode-yome
{"title":"Dynamic Voltage Signature of Large Scale PV Enriched Streesed Power System","authors":"S. Alzahrani, R. Shah, N. Mithulananthan, A. Sode-yome","doi":"10.1109/SPIES48661.2020.9243088","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243088","url":null,"abstract":"Renewable power generations including flexible demand and energy storage systems leverage significant changes in network operation. Thereby, power systems with high renewable penetration manifest deteriorated resilience to disturbances. Hence, the stable operation of the system could be affected. With a paradigm shift, dynamic voltage stability becomes one of the major concerns for the transmission system operators (TSOs). Predicting the dynamic voltage signature for the transmission system with high penetration of renewables is essential to assist in selecting appropriate corrective control. This paper utilized a comprehensive assessment framework to identify the dynamic voltage signature of the power system with PV and various loads. The voltage recovery index has been chosen as the quantifiable index to extricate the dynamic voltage signature. The applicability of the proposed framework is discussed using simulation studies on the IEEE-39 bus test system.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116779241","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}
Mojtaba Mohseni, M. Abedi, Hossein Jafari, E. Heydarian‐Forushani, A. Al‐Sumaiti
{"title":"Optimal Power and Heat Scheduling of Microgrids under Renewable Generation Uncertainties","authors":"Mojtaba Mohseni, M. Abedi, Hossein Jafari, E. Heydarian‐Forushani, A. Al‐Sumaiti","doi":"10.1109/SPIES48661.2020.9242982","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9242982","url":null,"abstract":"Technology development, government incentives, and global concerns about rising greenhouse gases make the renewable power generations to a viable option in smart microgrids. The uncertainty of renewable energy resources creates essential challenges for microgrid operator in different aspects. Moreover, the future microgrids can also supply the customer’s heat demand due to their proximity to load. On this basis, optimal operation of future microgrids is a complex problem which must be solved in an appropriate way. This paper proposed an integrated power and heat generation scheduling in microgrid context considering the uncertainty of wind and photovoltaic resources through Monte Carlo simulation approach. In order to evaluate the effectiveness of the proposed method, the model has been implemented on a typical microgrid. The obtained results reveal the effectiveness of the presented framework.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124257163","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":"SPIES 2020 List Reviewer Page","authors":"","doi":"10.1109/spies48661.2020.9242938","DOIUrl":"https://doi.org/10.1109/spies48661.2020.9242938","url":null,"abstract":"","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128840488","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}
U. Irshad, S. Rafique, M. Hossain, S. Mukhopadhyay
{"title":"Novel Sizing Method of Energy Storage System Considering Intermittent Usage of EVs in a Constrained Grid","authors":"U. Irshad, S. Rafique, M. Hossain, S. Mukhopadhyay","doi":"10.1109/SPIES48661.2020.9243046","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243046","url":null,"abstract":"Charging of electric vehicles (EVs) significantly impact the reliability of the power system. A constrained power grid is a feasible solution to maintain the reliability of the power system. However, in a constrained power grid, it is challenging for the parking lot operator to balance the additional load. The fast and high-power density of batteries makes them a conceivable option for this task if adequately sized. A sizing algorithm is proposed to compute the battery capacity for parking lots while considering the intermittent usage of EVs in a constrained grid. Charging profile of EVs is constructed by considering travel pattern, charging need and driver’s behaviour of EVs. The proposed sizing algorithm avoided over/under-sizing of the battery energy storage system and fulfilled the EV charging demand in the parking lot. The accuracy of the proposed battery sizing algorithm is shown by simulation results, characterized by real data of household travel survey and parking occupancy data.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130421026","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":"Design, Simulation, and Laboratory Experiments of High Voltage Strike for Lightning Protection System in Fishing Boat Model","authors":"H. Prabowo, Bernard Evan Kanigara","doi":"10.1109/SPIES48661.2020.9243108","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243108","url":null,"abstract":"Lightning is a natural phenomenon that often happens. When lightning strikes, the power produced is so large that lightning is very dangerous. One area where lightning often strikes is in the sea. This causes the crew who sailed in the middle of the ocean is vulnerable to lightning strikes. To increase the safety of the ship from the effects of the lightning strike, it needs a lightning protection system in accordance with the type of ship. Lightning protection on ships mainly consists of air termination, down conductor, and ground body. So far, studies on ship protection are only available for metal vessels such as cargo ships and warships. Therefore, studies on the design of lightning protection systems that are suitable for traditional boat types are needed. In this study, the lightning protection system was designed using the rolling sphere method. The design results obtained were then tested using software simulations. Based on the simulation results, the design of the lightning protection system was validated using a high voltage strike laboratory experiment. This experiment was carried out using a voltage impulse stroke to a laboratory-scale ship model. From the results of experiments conducted, the rolling sphere method can be used to determine the height of air termination in the fishing boat. In addition, the addition of conductor cables (overhead wires) can expand the protection zone so that it is better at protecting protection objects.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127469110","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 Hossein Fouladfar, Amir Baharvandi, M. Marzband, N. Saeed, A. Al‐Sumaiti
{"title":"Efficient Energy Managemet System Based on Demand Shifts in Domestic Grid Considering Emission and Tax on Carbon","authors":"Mohammad Hossein Fouladfar, Amir Baharvandi, M. Marzband, N. Saeed, A. Al‐Sumaiti","doi":"10.1109/SPIES48661.2020.9243011","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243011","url":null,"abstract":"Nowadays, there is a global need for energy management to reduce cost, planet damage and dependence on fossil fuels to save energy. In this paper, we suggest an efficient Energy Management System (EMS) with an emphasis on Demand Response (DR), the planning of generation units in the grid and exchanges between the grid and the upstream network, with the aim of reducing the Market Clearing Price (MCP), Emission Reduction (ER) and consequently reductions of Tax on Carbon (ToC). In the proposed problem, technical and economic constraints include any producer/consumer equipment, as well as the DR, ER, ToC, MCP and grid connection requirements to the main upstream network. To find the best possible solution, Particle Swarm Optimization (PSO) methodology is applied. The obtained results showed a noticeable decrease in MCP and ER by 37% and 55%, respectively.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841809","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":"A Multi-Parameter Algorithm for Wind Power Ramp Detection","authors":"Danielle Lyners, H. Vermeulen, M. Groch","doi":"10.1109/SPIES48661.2020.9243078","DOIUrl":"https://doi.org/10.1109/SPIES48661.2020.9243078","url":null,"abstract":"The amount of wind power capacity being integrated to the grid is increasing as wind turbine technology improves and more importance is placed on mitigating climate change. However, the stochastic nature of wind power poses various technical and economic challenges to power system operators who must ensure that load and generation are instantaneously balanced. A phenomenon in wind power that is of primary concern to the wind power operators is wind power ramp events. It is vital to obtain a better understanding of these events to be able to manage it better. This paper proposes a new ramp detection model to improve upon the state-of-the-art ramp detection models. The aim of the algorithm is to segregate wind power signals into increasing and decreasing ramps to facilitate ramp detection as well as ensure that all possible ramps of varying duration are found. The ramp detection model is applied to measured wind power data of a utility size wind farm to evaluate its performance. Results indicate that the identification of wind power ramps with the segmentation method, correspond to visual ramp identification.","PeriodicalId":244426,"journal":{"name":"2020 2nd International Conference on Smart Power & Internet Energy Systems (SPIES)","volume":"16 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114073580","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}