2007 International Conference on Intelligent Systems Applications to Power Systems最新文献_第5页

Price Forecasting of Japan Electric Power Exchange using Time-varying AR Model 基于时变AR模型的日本电力交易所价格预测

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441658

K. Ofuji, S. Kanemoto

{"title":"Price Forecasting of Japan Electric Power Exchange using Time-varying AR Model","authors":"K. Ofuji, S. Kanemoto","doi":"10.1109/ISAP.2007.4441658","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441658","url":null,"abstract":"In this article, we built a state space model to analyze the price time series in Japan electric power exchange(JEPX) spot market. In building the model, we aimed to achieve the following two goals that the model was able to a) forecast prices with reasonable accuracy, and b) understand the underlying market dynamics by decomposing the price time series into a reasonable set of contributing factors. To capture the time-variability of the contributing factors to price, self-AR(autoregressive) process was introduced to allow continuous change in the magnitude of influence from each explanatory variable. To estimate the model, Kalman Filter algorithm was applied for stepwise recursive estimation. After optimizing the model under the maximum likelihood method(MLM) coupled with minimum AIC(Akaike information criteria) conditions, the model was able to decompose the 15:00-15:30 JEPX spot electricity strip price into a couple of the most contributing factors with significant time-dependencies. Our model also yielded as good a forecasting accuracy with conventional AR econometric model estimated with ordinary least square method(OLS), with a squared error of about 1.12 [yen/kWh] per forecasting period.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"253 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132385742","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: 9

Generator Load Profiles Estimation Using Artificial Intelligence 基于人工智能的发电机负荷分布估计

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441586

A. Ugedo, Enrique Lobato

引用次数: 6

Development of an Educational Simulator for Particle Swarm Optimization and Economic Dispatch Applications 面向粒子群优化和经济调度应用的教育模拟器的研制

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441693

Woo-Nam Lee, Yun-Won Jeong, Jong-Bae Park, Joong-Rin Shin, K.Y. Lee

{"title":"Development of an Educational Simulator for Particle Swarm Optimization and Economic Dispatch Applications","authors":"Woo-Nam Lee, Yun-Won Jeong, Jong-Bae Park, Joong-Rin Shin, K.Y. Lee","doi":"10.1109/ISAP.2007.4441693","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441693","url":null,"abstract":"This paper presents a windows-based educational simulator with user-friendly graphical user interface (GUI) for the education and training of particle swarm optimization (PSO) technique for mathematical optimization problems and economic dispatch (ED) applications. The main objective for developing the simulator is to provide information with the electrical engineering undergraduate students that the up-to-date artificial intelligent (AI) techniques including PSO are actively used in power system optimization problems. The simulator can be used as a lecturing tool to stimulate an interest in the power system engineering of the undergraduate students. The students can be more familiar with the optimization problems including power system ED problem through the iterative uses of the simulator. Also, they can increase understandings on PSO mechanism by the homework on the optimal design of several control parameters such as inertia weight, acceleration coefficients, and the number of population, etc. In the developed simulator, instructors and students can select the optimization functions and set the parameters that have an influence on PSO performance. The simulator is applied not only to mathematical optimization functions but also to economic dispatch (ED) problems with non-smooth cost functions, which is designed so that users can solve other mathematical functions through simple additional MATLAB coding.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"195 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117015134","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

Neuro-Fuzzy Based Coordination Control in a Distribution System with Dispersed Generation System 基于神经模糊的分散发电配电网协调控制

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441688

R. Liang, Xian-Zong Liu

{"title":"Neuro-Fuzzy Based Coordination Control in a Distribution System with Dispersed Generation System","authors":"R. Liang, Xian-Zong Liu","doi":"10.1109/ISAP.2007.4441688","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441688","url":null,"abstract":"To maintain the customer voltage profile within a specified region is very important when a dispersed generation system (DGS) is connected to a power distribution system. This paper presents an approach based on an artificial neural network (ANN) combined with a fuzzy system to solve the coordination control problem in a distribution system with DGS. The main purpose is to find the proper tap position for the main transformer under load tap changer (ULTC) and reactive power outputs for the static var compensator (SVC) and DGS, i.e., using the proposed approach to design a coordination controller, such that the reactive power flow through the main transformer can be restrained and voltage profiles on the buses improved. To reduce the repair cost for the main transformer ULTC, the number of operating ULTCs must be minimized. The constraints that must be considered include the voltage limits on the secondary bus and DGS bus, and the reactive power output limits for the SVC and DGS. To demonstrate the usefulness of the proposed coordination control scheme based on the ANN and fuzzy system, a simplified distribution system is performed. The results show that a proper coordination can be reached using the proposed approach.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126518855","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: 12

Differential Evolution and its Applications to Power Plant Control 差分进化及其在电厂控制中的应用

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441675

J. H. Van Sickel, Kwang Y. Lee, J. Heo

引用次数: 57

Optimum Fault Current Limiter Placement 最佳故障限流器放置

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441611

J. Teng, Chan-nan Lu

引用次数: 31

Eigenvalue Based Wide Area Dynamic Stability Control of Electric Power Systems 基于特征值的电力系统广域动态稳定控制

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441649

T. Hiyama, Wei Zhang, S. Wakasugi

引用次数: 3

Balance Programming between Target and Chance with Application in Building Optimal Bidding Strategies for Generation Companies 目标与机会平衡规划及其在发电公司最优竞价策略构建中的应用

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441639

G. Lu, F. Wen, X. Zhao, C. Chung, K. Wong

引用次数: 0

An Intelligent Adaptive Reclosure Scheme for High Voltage Transmission Lines 一种高压输电线路智能自适应重合闸方案

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441609

Xiangning Lin, Bin Wang, Z. Bo, A. Klimek

{"title":"An Intelligent Adaptive Reclosure Scheme for High Voltage Transmission Lines","authors":"Xiangning Lin, Bin Wang, Z. Bo, A. Klimek","doi":"10.1109/ISAP.2007.4441609","DOIUrl":"https://doi.org/10.1109/ISAP.2007.4441609","url":null,"abstract":"A criterion using residual voltage and fuzzy decision to improve the successful rate of reclosing is proposed. Residual voltage of the faulted phase still remains after a single phase to ground fault occurs followed by the faulted phase breaking because distributed parameters of the high-voltage transmission line and coupling capacitance between one phase and another phase transmission lines exist. Therefore, the residual voltage can be used to distinguish between permanent faults and transient faults of transmission lines. However, a permanent fault may be regarded as transient one when permanent single-phase fault to ground occurs near either end of the transmission line according to the existing residual voltage scheme. In this case the system stability will be threaten. In order to overcome this problem, a new scheme using fuzzy decision is proposed in this paper, the information of capacitance coupling voltage and the boundary condition will be used to revise the present criteria, so that the correct rate of judgment can be improved extremely. A classical model with two inputs and one output is used to design the fuzzy controller, a STD industrial control computer system is used as the hardware platform. The analysis and test results show that the new criterion can be widely applied in protective relaying with reclosing, especially digital relaying of power systems.","PeriodicalId":320068,"journal":{"name":"2007 International Conference on Intelligent Systems Applications to Power Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133686786","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

Long-term Price Range Forecast Applied to Risk Management Using Regression Models 长期价格区间预测在回归模型风险管理中的应用

2007 International Conference on Intelligent Systems Applications to Power Systems Pub Date : 2007-11-01 DOI: 10.1109/ISAP.2007.4441656

F. Azevedo, Z. Vale, Paulo Moura Oliveira

引用次数: 8