{"title":"A new method for wind speed forecasting based on empirical mode decomposition and improved persistence approach","authors":"Chengchen Sun, Yue Yuan, Qiang Li","doi":"10.1109/ASSCC.2012.6523347","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523347","url":null,"abstract":"Wind speed forecasting plays an important role in sizing the capacity of the energy storage system and guaranteeing the security and stability of power system. In order to forecast wind speeds more accurately, a hybrid forecasting method based on empirical mode decomposition (EMD) and an improved persistence approach has been proposed in this paper. Employing the EMD technique to decompose the measured wind speeds into many intrinsic mode function (IMF) components and a residue, which represent the original signal in both high-frequency and low-frequency signals. Meanwhile each IMF is analyzed and predicted using Moving Average method (high-frequency signals) and Persistence Approach (low-frequency signals), so does the residue. The sum of the predictive value for each decomposed component is the forecasted data. A set of measured wind speed data from a given wind farm locating at Jiangsu Province in China were modeled using the proposed method and the forecasted results were compared to the measured wind speeds as well as those predicted with other traditional methods. The results indicate that the forecasting precision can be improved with the developed model.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132978945","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}
Chao-Ming Lee, Shin-Han Han, Chen-Hong Zheng, Wei-Song Lin
{"title":"Power split of fuel cell/ultracapacitor hybrid power system by backstepping sliding mode control","authors":"Chao-Ming Lee, Shin-Han Han, Chen-Hong Zheng, Wei-Song Lin","doi":"10.1109/ASSCC.2012.6523325","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523325","url":null,"abstract":"A fuel cell/ultracapacitor hybrid power system supplying an electric vehicle must efficiently split power among distinct power sources while adapting to variations in power demands. This paper shows that a backstepping-sliding-mode controlled two-input, bidirectional dc-dc converter can achieve the end. The two-input design of the converter system enables sharing power demands between the fuel cell and ultracapacitors. The bidirectional design of the converter system allows electrical currents to rush into or out of the ultracapacitors such that either fuel-cell generated current or regenerated current can charge the ultracapacitors. The backstepping sliding-mode control strategy enables the converter system to maintain a stable output voltage while tracking power split commands under nonlinear dynamics and time-varying load. Simulation and experimental results show that the proposed design is efficacious.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130906096","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":"Bee colony optimization of battery capacity and placement for mitigation of voltage rise by P V in radial distribution network","authors":"T. Chaiyatham, I. Ngamroo","doi":"10.1109/ASSCC.2012.6523231","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523231","url":null,"abstract":"At present, the penetration of photovoltaic (PV) power generation in the distribution network tends to increase considerably. However, when the PV sources are located at the ending bus of the radial network, they may cause a reverse power flow and a voltage rise problem. To reduce the voltage rise, the battery energy storage can be used. Nevertheless, the inevitable problem of battery is the high installation cost. The optimal placement and capacity of battery are the vital issue to be considered. In this paper, the bee colony optimization is applied to find the optimal placement and capacity of battery in the radial distribution network for alleviating the voltage rise due to PV sources. Simulation results under several scenarios indicate the superior control effect of the optimized battery over the nonoptimal battery.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131349329","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 probabilistic operation method of power systems with WFs considering voltage and power flow constraints","authors":"T. Nguyen, Trong Nguyen, T. Tsuji, T. Oyama","doi":"10.1109/ASSCC.2012.6523335","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523335","url":null,"abstract":"This paper assesses the fluctuation of voltage and power flow on transmission lines from a probabilistic perspective in power systems with a large amount of Wind Farms (WFs). Economic Load Dispatch (ELD) determines the generation of thermal generators to limit the overloading probability on transmission lines considering the uncertainty caused by the output variation of WFs under N-1 criterion. The redistributed generation of the generators and the uncertain generation of WFs may cause voltage fluctuation. The conventional static condensers (SCs) keeping the system voltage in the proper range are adjusted to avoid this voltage violation. In conventional systems, the SCs have been utilized to keep the system voltage in the proper range when load changes. However, with a large amount of WFs, the size of the voltage fluctuation may be larger due to the output variations of WFs. So, the amount of SCs must be adjusted more precisely considering the effect of the output fluctuation of WFs to prevent the overvoltage risk from being over the predefined value. The control capacity of SC is determined by solving the optimization problem proposed in this study using Particle Swarm Optimization.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115455187","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":"Improving stability for independent power control of wind-turbine Doubly Fed Induction Generator with SFOC and DPC during grid unbalance","authors":"True Pham-Dinh, Nam Anh Nguyen, Hai Nguyen-Thanh","doi":"10.1109/ASSCC.2012.6523256","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523256","url":null,"abstract":"This paper presents modified SFOC of Doubly Fed Induction Generator (DFIG) in wind turbines during grid unbalance for improved stability by using Notch filter to eliminate second order harmonic components. Comparison of the proposed controller with DPC using Notch filters for improvement during grid voltage unbalance is also included. The system consists of an induction generator with slip ring and power electronic converters at both rotor and grid sides. The modifications are applied to rotor side converter for active and reactive power controls of wind turbine. The turbine, generator and control units are also described. The investigation is based on MATLAB/SIMULINK. Simulation results show improved stability of active and reactive powers delivered by DFIG.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115495480","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}
K. Nandha, P. H. Cheah, B. Sivaneasan, P. L. So, D. Wang
{"title":"Electric vehicle charging profile prediction for efficient energy management in buildings","authors":"K. Nandha, P. H. Cheah, B. Sivaneasan, P. L. So, D. Wang","doi":"10.1109/ASSCC.2012.6523315","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523315","url":null,"abstract":"Predicting the charging profiles of electric vehicles (EVs) connected to a building incorporated with a Building Energy Management System (BEMS) will improve the energy efficiency of the building. The predicted charging profiles along with the forecasted load data can be utilized for calculating vehicle to grid (V2G) capacity and for performing load/source scheduling. In this paper, an Artificial Neural Network (ANN) based model is proposed for predicting the charging profiles of EVs connected to a building. The ANN model considers the previous charging profiles, initial State of Charge (SOC) and final SOC for predicting the charging profile of the EV. A BEMS simulation tool is developed using National Instruments LabVIEW to analyze the functionality of the model. Using the predicted charging profiles and forecasted building load, EV scheduling is demonstrated for a typical day. The V2G capacity available for peak saving is also computed and load/source scheduling is performed accordingly.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116183858","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":"Implementation an adaptive fuzzy NARX controller for MPPT PV supplied DC pump motor","authors":"H. Anh, N. Phuc","doi":"10.1109/ASSCC.2012.6523327","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523327","url":null,"abstract":"This paper presents an application of a novel fuzzy NARX model for the identification of the optimal operating point of a PV supplied DC motor pumping system. A modified genetic algorithm (GA) is used to train the proposed fuzzy NARX-based controller for the identification of the maximum power point of the solar panel. The developed algorithm based on matching of the solar panel to the motor load through a buck-boost power converter so that the combined system can operate at the optimum point. The input parameters to the fuzzy NARX model are solar radiation and working temperature meanwhile the output parameter is the converter chopping ratio corresponding to the maximum power output of the solar panel or gross mechanical energy output (GME) of the combined PV system. The converter chopping ratios at different solar radiation and temperature are obtained from the adaptive fuzzy NARX-based controller. Simulation results proved the performance and efficiency of the proposed fuzzy MISO NARX controller.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123612119","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. Cha, Haoran Zhao, Qiuwei Wu, J. Østergaard, T. S. Nielsen, H. Madsen
{"title":"Evaluation of energy storage system to support Danish island of Bornholm power grid","authors":"S. Cha, Haoran Zhao, Qiuwei Wu, J. Østergaard, T. S. Nielsen, H. Madsen","doi":"10.1109/ASSCC.2012.6523271","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523271","url":null,"abstract":"This paper presents a real-time evaluation and simulation approach of energy storage system (ESS) based on large renewable-based electricity generation, which can be used for grid support. The ESS is designed to maintain power quality as a primary regulation, while the conventional generation units handle the secondary frequency regulation to mitigate ramping issues. The real time models of Bornholm distribution grid, which is the combination of an aggregated wind power generation and the energy storage system (ESS) has been used to test the system and control approach in a real time grid simulator to identify the improvement of the grid support capability. The interactive simulation platform with real-time energy forecasting data running online with a link to the Bornholm power system data are being used to measure and validate the system performance with and without storage after a disturbance.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128623991","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":"Outage planning method for electrical power facilities using MOGA","authors":"K. Matsushita, Chihaya Murakami, S. Iwamoto","doi":"10.1109/ASSCC.2012.6523274","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523274","url":null,"abstract":"A new outage planning method using a Multiobjective Genetic Algorithm (MOGA) is proposed for electric power facilities. Generally, outage planning is intensively performed in spring and autumn during which the power demand is lower. However, electric power companies are increasingly installing facilities because of increased power demand and the complexity of the power system. Therefore outage planning must be carried out with greater efficiency. Outage planning is typically instigated by an expert in power system operation, and time and labor is required to generate a plan that considers operation constraints since this is a large combinatorial problem. Hence, this paper develops a new smart automated outage planning method. The method proposed in this paper using MOGA can generate outage plans efficiently and can reduce the experts' burdens. Furthermore, the proposed method can consider trade-off relations, such as that between costs and CO2 emissions, and optimize them. To confirm the validity of the proposed method, simulations were conducted using the IEEJ EAST 10-machine-O/V system model.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126220904","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":"Efficient trust node aware routing in ZigBee communication network of smart grid","authors":"Yichi Zhang, Weiqing Sun, Lingfeng Wang","doi":"10.1109/ASSCC.2012.6523286","DOIUrl":"https://doi.org/10.1109/ASSCC.2012.6523286","url":null,"abstract":"ZigBee plays a crucial role in the smart grid communication system primarily due to its low cost when transmitting information. Ad hoc On-Demand Distance Vector (AODV) Routing protocol has been used in ZigBee Network layer. As complicated structures are deployed in the smart grid, a secure communication network environment is needed for facilitating effective data communications. Trust nodes can be added to ZigBee for monitoring the network traffic for malicious attacks. In this paper, two approaches are proposed for adding trust nodes to the AODV hop-by-hop routing algorithm. Scenarios of route searching in mesh networks with different sizes are simulated by including at least one trust node in each route. Evaluation results indicate both security and efficiency could be ensured by adding the trust nodes into the ZigBee communication network.","PeriodicalId":341348,"journal":{"name":"2012 10th International Power & Energy Conference (IPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128467651","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}