{"title":"Computing the boundary of simple power system feasible region based on the optimization method","authors":"Linlin Hu, Jinli Zhao, Jia Hongjie, Xiaolong Guo, Qiang Zeng","doi":"10.1109/ISGT-ASIA.2012.6303241","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303241","url":null,"abstract":"In this paper, an optimization method is proposed to compute the power flow feasible region's boundary. The boundary points of maximum load are directly and accurately computed through a non-linear programming model. The security constraints such as equipment restrictions and voltage constraint are introduced into the study of the feasible region. The feasible region's boundary with security constraints is successfully calculated on the WSCC 3-generator and 9-bus system and the impact of the security constraints on the region is analyzed.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115802079","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 prediction method for photovoltaic power generation with advanced Radial Basis Function Network","authors":"H. Mori, M. Takahashi","doi":"10.1109/ISGT-ASIA.2012.6303116","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303116","url":null,"abstract":"This paper proposes a new method for short-time generation output prediction of PV systems. The proposed method is based on the hybrid intelligent system of GRBFN (Generalized Radial Basis Function Network) of ANN (Artificial Neural Network) and DA (Deterministic Annealing) Clustering. RBFN is one of ANNs that provide the good performance. However, it has an open problem in constructing RBFN with the good accuracy. To improve the performance, this paper introduces two strategies: one is to use DA of global clustering to select the good initial values of the center and the width of radial basis functions and the other is to use GRBFN to determine the center and the width through the learning process appropriately. As a result, the proposed method provides better results than the conventional ones. The proposed method is successfully applied to real data of short time prediction of PV systems.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116140792","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":"Industry load composition proportion forecasting of substation based on SVM","authors":"Chunguang He, Xinran Li, Z. Xu, Weijian Liu, Jinming Guo, Huilin Ouyang","doi":"10.1109/ISGT-ASIA.2012.6303139","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303139","url":null,"abstract":"A new methodology based on support vector machines (SVM) for the industry load proportion forecasting of a substation is presented to solve the problem that parameters of substation composite load model are randomly time-varying. The SVM algorithm is used to forecast a substation daily load curve and extract characteristic quantities of the substation daily load. Based on this, typical characteristic quantities of each industry are obtained through fuzzy C-means clustering with the consumer daily load curve from load control system and then project weights on the substation daily load characteristic quantities respectively. Load proportion of each industry is finally worked out by further calculation of the weights. According to the characteristics of a region's electricity, this prediction method is taken to forecast industry load composition proportion of a substation in the region on its summer peak load day. The result shows that the approach is consistent with the actual operation of the grid.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973682","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":"Circuit breaker coil modeling and operation monitoring using feature extraction","authors":"A. Forootani, A. Afzalian, A. Melli","doi":"10.1109/ISGT-ASIA.2012.6303201","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303201","url":null,"abstract":"This paper presents a novel model of a circuit breaker coil based on electromechanical energy conversion principles which can be employed in circuit breaker condition monitoring. The proposed model takes into account the following: the coil core, springs, magnetic arm and coil. Based on this model, different parameters such as: Friction, the circuit breaker control circuit, inductance of the core and tolerances of the components can affect on coil current are considered. In the evaluation phase the effects of these parameters on coil current are studied and four functions are provided to detect the coil's faults.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122818249","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":"The management policy of regional electric vehicles considering peak load shifting","authors":"Jiajia Xu, Xin Ai, H. Qin, Yuchen Zhu","doi":"10.1109/ISGT-ASIA.2012.6303250","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303250","url":null,"abstract":"The large-scale operation of electric vehicles is the inevitable tendency of automobile industry. The great number of electric vehicles putting into the grid provides a mobile energy storage power station which is a developing direction of smart grid. However, both the charging and discharging procedures of electric vehicles can detrimentally impact the performance of the distribution grid. This paper proposes a management policy considering peak load shifting for coordinating regional electric vehicles charging and discharging. Moreover, the influence to the load curve of scale charging and discharging in this management mode is simulated based on MATLAB.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124179757","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":"Detection of voltage flicker based on atomic method","authors":"Ning Wang, Linchuan Li, Qing-quan Jia","doi":"10.1109/ISGT-ASIA.2012.6303367","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303367","url":null,"abstract":"Paper presents a new voltage flicker detection method based on atomic method. Design voltage flicker coherent dictionary by analyzing characteristic of voltage flicker, which decrease the calculation work of the Matching Pursuits (MP) algorithm. Use the MP algorithm to extract the fundamental component and voltage flicker. By analyzing the parameters of voltage flicker, we can identify the voltage flicker detection is current or not. Simulation data results confirm the effectiveness of the proposed method, and obtaining accuracy.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"86 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126279881","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":"Power fiber to the home service three nets fusion","authors":"Chenggang Wang, Zhi-ming Wang, Wei-chun Ge","doi":"10.1109/ISGT-ASIA.2012.6303276","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303276","url":null,"abstract":"Power fiber to the home is to point to in the low voltage communication access network by using optical fiber composite in low voltage cables, With low voltage power lines will be optical fiber laying, realize to the table in the house, with passive optical network technology, can carry electricity information collection, intelligent power consumption two-way interaction, “three nets fusion” business.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125944866","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}
Qiming Cui, Sheng Wei Liu, Hong Xing Liu, Zhihui Wang
{"title":"Application research of the production system-type expert system shell Pro/3 under Smart Grid","authors":"Qiming Cui, Sheng Wei Liu, Hong Xing Liu, Zhihui Wang","doi":"10.1109/ISGT-ASIA.2012.6303156","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303156","url":null,"abstract":"Pro/3 v1.1.1-the production system-type expert system shell based on Visual Prolog6.2 is introduced. The parameter rule function of inexact rules was corrected in the Pro/3. Its corrective code is given. The expert system about shopping and assessment of a current transformer was implemented by researching the Pro/3. The goal of the expert system is that it gives a degree of suitability (membership grade) description for preference current transformer to a user by analysing a request and preference of the user for the current transformer brand, type, price etc. and deriving sentences for making decision. The sentences and application of rules are partly illustrated in the paper. Finally, the result of practice verifies the validity and the practicability of the expert system.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130069950","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":"Micro-grid connected/islanding operation based on wind and PV hybrid power system","authors":"Z. Dongmei, Zhang Nan, Liu Yanhua","doi":"10.1109/ISGT-ASIA.2012.6303168","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303168","url":null,"abstract":"The micro-grid technology that integrates distributed generations, energy storage element and loads is an effective approach to solve the interconnection of large-scale distributed generations with power grid. Wind and solar can be complementary to each other in time, therefore wind and PV hybrid power system could make full use of clean energy and have high reliability. Smooth switching between grid-connected mode and islanding mode is important to micro-grid stable operation. In this paper a micro-grid model based on wind and PV hybrid power system is built with DigSILENT/PowerFactory. The improved control strategy of P-Q control and droop control combination is proposed and the transition state simulation as to the micro-grid mode switching process is carried out. The result shows that this advanced control strategy can ensure power balance and reasonable power assignment, it also could keep connected bus voltage and micro-grid frequency stable during micro-grid mode switching.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121796696","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":"Non-technical loss detection using smart distribution network measurement data","authors":"Y. Lo, Shih-Che Huang, Chan-nan Lu","doi":"10.1109/ISGT-ASIA.2012.6303316","DOIUrl":"https://doi.org/10.1109/ISGT-ASIA.2012.6303316","url":null,"abstract":"Nowadays distribution system operators are equipped with many real time operation data from SCADA, intelligent electronics devices (IED), automatic meter reading (AMR) and advanced metering infrastructure (AMI) systems. Customer and transformer loading data obtained from AMI system at different time intervals give an opportunity to develop a distribution state estimation (DSE) algorithm. DSE is enabler of many smart distribution applications. In this paper, a DSE based quasi real time search for potential irregularity of electricity usage is presented. The proposed approach can be used to reduce non-technical loss in the distribution network.","PeriodicalId":330758,"journal":{"name":"IEEE PES Innovative Smart Grid Technologies","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121927962","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}