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Near-Optimal Day-Ahead Scheduling of Energy Storage System in Grid-Connected Microgrid 并网微电网储能系统近最优日前调度
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467921
T. T. Teo, T. Logenthiran, W. L. Woo, K. Abidi
{"title":"Near-Optimal Day-Ahead Scheduling of Energy Storage System in Grid-Connected Microgrid","authors":"T. T. Teo, T. Logenthiran, W. L. Woo, K. Abidi","doi":"10.1109/ISGT-ASIA.2018.8467921","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467921","url":null,"abstract":"This paper proposes a near-optimal day-ahead scheduling of energy storage system based on the mismatch between supply and demand, state-of-charge and real-time electricity price when deciding how much to charge and discharge the energy storage system. An artificial neural network, the extreme learning machine is used for the day-ahead forecast of the mismatch between supply and demand and real-time electricity market price. After the day-ahead forecast is obtained, the scheduling problem is formulated into a mixed-integer linear programming and implemented in AMPL and solved using CPLEX. This paper also considers the impact of forecasting errors in the day-ahead scheduling. Empirical evidence shows that the proposed near-optimal day-ahead scheduling of ESS can achieve lower operating cost and life-cycle.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127332920","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: 10
Power Alert System using K-Means for Smart Home 基于K-Means的智能家居电力报警系统
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467949
Weixian Li, T. Logenthiran, V. Phan, W. L. Woo
{"title":"Power Alert System using K-Means for Smart Home","authors":"Weixian Li, T. Logenthiran, V. Phan, W. L. Woo","doi":"10.1109/ISGT-ASIA.2018.8467949","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467949","url":null,"abstract":"Smart homes are part of a fundamental smart grid concept for smart cities. Home energy management system (HEMS) became an essential tool for smart homes to monitor electricity consumption and prevent energy wastages. In this paper, a Power Alert System (PAS) is proposed for HEMS to indicate the power consumption level of smart homes. In the proposed system, K-means algorithm is applied to classify power consumption into three levels, namely high, average and low. To evaluate the developed system, real-time unsupervised power consumption data has been collected from a Singapore smart home. In this practical residential environment, the developed system has performed a reliable clustering and created energy awareness for the residents. This classification of the energy consumption was compared with a traditional classification.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128158978","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: 2
Anomaly Warning and Fault Detection in DC Pico-grid with enhanced k-Nearest Neighbours Technique 基于增强k近邻技术的直流微电网异常预警与故障检测
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467961
Y. Quek, W. L. Woo, T. Logenthiran
{"title":"Anomaly Warning and Fault Detection in DC Pico-grid with enhanced k-Nearest Neighbours Technique","authors":"Y. Quek, W. L. Woo, T. Logenthiran","doi":"10.1109/ISGT-ASIA.2018.8467961","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467961","url":null,"abstract":"The $k$-nearest neighbours (kNN) algorithm, which is usually used for classification, is presented in this paper to detect faults and trigger anomaly warnings in a single sensor multiple loads dc pico-grid. Anomalies warning is getting more attention in the recent years as it can used as a trigger for predictive maintenance, which is preferred over repair work after a fault detection. On top of performing its usual duty of load classification in the circuit during normal operation, the kNN algorithm is enhanced with 3 additional techniques to set 3 anomaly criteria for the triggering of alarm when the extracted features of the test object exhibit abnormal behaviours. The experiment is set in a dc pico-grid as there is a growing interest and demand in dc loads. Experiments with various anomalies show that the proposed enhanced algorithm can effectively detect anomalies and faults.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130994400","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
Fast Frequency Control Scheme through Adaptive Virtual Inertia Emulation 基于自适应虚拟惯性仿真的快速频率控制方案
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467920
U. Markovic, Zhongda Chu, P. Aristidou, G. Hug
{"title":"Fast Frequency Control Scheme through Adaptive Virtual Inertia Emulation","authors":"U. Markovic, Zhongda Chu, P. Aristidou, G. Hug","doi":"10.1109/ISGT-ASIA.2018.8467920","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467920","url":null,"abstract":"This paper presents a novel virtual inertia controller for converters in power systems with high share of renewable resources. By combining the analytical study of system dynamics and a Linear-Quadratic Regulator (LQR)-based optimization technique, the optimal state feedback gain is determined, adapting the emulated inertia constant according to the frequency disturbance in the system. The optimality is achieved through trade-off between the critical frequency limits and the required control effort, i.e. utilization of the internal energy storage. The proposed controller is integrated into a state-of-the-art converter control scheme and verified through EMT simulations. The results show a significant improvement in the frequency response compared to an open-loop system, while also preserving drastically more DC-side energy than a non-adaptive controller.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"336 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116826787","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: 25
Intelligent Street Lighting for Smart Cities 智慧城市的智能街道照明
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467767
C. B. Soh, J. Tan, K. Tseng, W. Woo, J. W. R. Teo
{"title":"Intelligent Street Lighting for Smart Cities","authors":"C. B. Soh, J. Tan, K. Tseng, W. Woo, J. W. R. Teo","doi":"10.1109/ISGT-ASIA.2018.8467767","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467767","url":null,"abstract":"Intelligent lighting is designed to optimize the energy consumption for street lighting. The project aims to reduce energy consumption through designing a Smart lighting control system using a microcontroller. Lighting alone accounts for approximately 20% of the global electricity consumption. In the current situation, public lightings are usually turned on before the local sunset and turned off after the local sunrise where visibility is sufficient. Sensory network incorporating infrared sensor, temperature sensor, light sensors are used for real time vehicular detection and ambient light monitoring. A programmable displays, alert system and a real time clock dimming scheduling, notification and measurements are implemented. The microcontroller acts as a microcomputer to govern the operations of the Intelligent street Lighting system. Evaluation shows that through combining different methodology it allows more energy and cost saving in street lighting","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121958090","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: 7
Overview of Adaptive Protection System for Modern Power Systems 现代电力系统自适应保护系统综述
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467827
C. Chandraratne, T. Logenthiran, R. T. Naayagi, W. L. Woo
{"title":"Overview of Adaptive Protection System for Modern Power Systems","authors":"C. Chandraratne, T. Logenthiran, R. T. Naayagi, W. L. Woo","doi":"10.1109/ISGT-ASIA.2018.8467827","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467827","url":null,"abstract":"Conventional protection system has relays with fixed setting parameters. It becomes difficult to fulfill the protection requirements in variable operation conditions in general power systems. One of the solution to this problem is the adaptive protection which can vary its parameter settings or the operating characteristics in response to changes in the power system. Using such adaptive protection helps to improve the defects of traditional protection system which can make the protection system better: more reliable, sensitive and rapid. These characteristics and functions can be achieved by properly designing the electrical system and the protection scheme. At the same time ensure that the selected protection can detect and isolate all faulted portions of the electrical system. To guarantee the safety of the task of the power system, the protection equipment ought to be upgraded in like manner. Hence, the energetic structure of power system and their different working conditions need the advancement of adaptive protection techniques. This paper provides the concepts for the general and modern power system protections and highlights the adaptive protection scheme. The overall structure of the adaptive protection is described. The recommendations including software and functions for the future power systems are discussed.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"37 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642544","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: 10
Photovoltaic Power Forecasting using LSTM on Limited Dataset 有限数据集上基于LSTM的光伏发电预测
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-20 DOI: 10.1109/ISGT-ASIA.2018.8467934
Vidisha De, T. T. Teo, W. L. Woo, T. Logenthiran
{"title":"Photovoltaic Power Forecasting using LSTM on Limited Dataset","authors":"Vidisha De, T. T. Teo, W. L. Woo, T. Logenthiran","doi":"10.1109/ISGT-ASIA.2018.8467934","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467934","url":null,"abstract":"This paper aims to forecast the photovoltaic power, which is beneficial for grid planmng which aids in anticipating and prediction in the event of a shortage. Forecasting of photovoltaic power using Recurrent Neural Network (RNN) is the focus of this paper. The training algorithm used for RNN is Long Short-Term Memory (LSTM). To ensure that the amount of energy being harvested from the solar panel is sufficient to match the demand, forecasting its output power will aid to anticipate and predict at times of a shortage. However, due to the intermittent nature of photovoltaic, accurate photovoltaic power forecasting can be difficult. Therefore, the purpose of this paper is to use long short-term memory to obtain an accurate forecast of photovoltaic power. In this paper, Python with Keras is used to implement the neural network model. Simulation studies were carried out on the developed model and simulation results show that the proposed model can forecast photovoltaic power with high accuracy.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126905120","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: 20
Proposed Optimised Smart Grid System using Multi-Agent System 基于多智能体系统的优化智能电网系统
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-18 DOI: 10.1109/ISGT-ASIA.2018.8467814
Weixian Li, T. Logenthiran, V. Phan, W. L. Woo
{"title":"Proposed Optimised Smart Grid System using Multi-Agent System","authors":"Weixian Li, T. Logenthiran, V. Phan, W. L. Woo","doi":"10.1109/ISGT-ASIA.2018.8467814","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467814","url":null,"abstract":"Smart grid is a two-way communication power grid that leads to a reliable and efficient electrical distribution grid. Smart grid technology provides a more productive usage of electricity through Artificial intelligence (AI). This paper shows the potential of implementing an optimised smart grid system with the use of Multi-Agent System (MAS) in a power grid environment. It optimises the electricity efficiency and distribution of smart grid on different level. The efficient communication of MAS and algorithm of Energy Management System (EMS) both work together to reduce electricity wastage while optimizing consumers comfort, electricity cost and reduce overloading of power supply. Thus, the optimised smart grid system was designed and developed with the use of MAS for its IEEE FIPA standards compliant communication system. Simulation studies carried out on the proposed system shows its potential to provide the optimal solutions to achieve better electricity distribution efficiency and electricity bill price. This paper demonstrates how the influences of different level of EMS with MAS decision making system will affect the smart grid.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131965726","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
Energy Flexibility from Prosumers and BESS Coordination to Support Distribution Network Operation 产消者的能源灵活性和BESS协调以支持配电网运营
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-18 DOI: 10.1109/ISGT-ASIA.2018.8467901
T. Vo, P. Nguyen
{"title":"Energy Flexibility from Prosumers and BESS Coordination to Support Distribution Network Operation","authors":"T. Vo, P. Nguyen","doi":"10.1109/ISGT-ASIA.2018.8467901","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467901","url":null,"abstract":"With the new Dutch regulation on banning the newly-built petrol vehicles by 2030, urban areas are predicted in the short-term local congestion situation dues to the high penetration level of electric vehicles. These vehicles with fast charging technologies require a high electric demand over some hours to charge their batteries. In order to provide a feasible solution at the utility level to that problem, large-scale battery energy storage systems (BESS) are considered as vital means to provide flexibility and effectively support the local networks. However, the capital cost of the BESS is still a main concern leading to a cost-effective operation schedule is required to ensure the desirable power quality while the lifetime of BESS is extended. This paper investigates the solutions to the power congestion problem and under-voltage issue of a Dutch medium voltage network around the Amsterdam Arena stadium once the penetration of electric vehicles keeps increasing in the years to come. The coordination scheme among BESS is then proposed to ensure the maximum life span of BESS. The numerical results from this work confirm the feasibility and effectiveness of the large-scale BESS in modern distribution networks and suggest the potential benefit that the stadium owner could gain when their BESS system supports the local network.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"57 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134127355","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
Effect of DFIG Wind Farm Fault Currents on the Transformer Differential Relaying Performance DFIG风电场故障电流对变压器差动继电性能的影响
2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) Pub Date : 2018-09-18 DOI: 10.1109/ISGT-ASIA.2018.8467823
H. Nguyen-Duc, Y. Nakanishi
{"title":"Effect of DFIG Wind Farm Fault Currents on the Transformer Differential Relaying Performance","authors":"H. Nguyen-Duc, Y. Nakanishi","doi":"10.1109/ISGT-ASIA.2018.8467823","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2018.8467823","url":null,"abstract":"Nowadays, the wind energy is one of the fastest growing renewable energies in the world. The increasing presence of wind farms with electronic controls pose several issues for the protective relaying systems. The issues with conventional protection relays when applied to wind farm protection is due to the fact that short circuit currents from wind farm, especially those based on type III and type IV, are fundamentally different from short-circuit currents of synchronous generators. This paper investigates the performance of a typical differential protection scheme for a 110kV power transformer which connects a DFIG wind farm to the grid. The simulation results show that wind farm short circuit current might cause incorrect relay operation.","PeriodicalId":126140,"journal":{"name":"2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115925671","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: 6
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