2011 16th International Conference on Intelligent System Applications to Power Systems最新文献_第5页

Integrating high levels of wind in island systems: Lessons form Hawaii 在岛屿系统中整合高水平的风:来自夏威夷的教训

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082229

N. Miller, D. Manz, Harjeet Johal, S. Achilles, Leon R. Roose, J. P. Griffin

{"title":"Integrating high levels of wind in island systems: Lessons form Hawaii","authors":"N. Miller, D. Manz, Harjeet Johal, S. Achilles, Leon R. Roose, J. P. Griffin","doi":"10.1109/ISAP.2011.6082229","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082229","url":null,"abstract":"Variability of power generation from intermittent resources such as wind and solar plants presents an operational challenge for grid operators. The economic incentives and technical challenges that accompany large amounts of variable generation in island power systems are often much greater. The Hawaiian Electric Company and its subsidiaries, the Maui Electric Company and the Hawaii Electric Light Company have considerable experience in planning and operating power systems with relatively high levels of wind power. The islands of Hawaii and Maui operate power systems with high levels of wind power (more than 10% by energy) and have experienced and addressed challenges associated with the variability and uncertainty of wind power. The island of Maui is anticipating further wind plant deployments in the near future. Recent analyses of possible near-term deployment of large amounts of wind power on the Oahu power system (500MW of wind power; approximately 1200MW peak and 520MW minimum annual load) has shown the potential for this system to accept almost 25% of its energy from wind and solar power. This paper will identify some of the wind integration challenges and highlight the benefits of a variety of strategies that are expected to improve system economics and operational reliability, including proposed modifications to the baseload thermal fleet (deeper turndown, higher ramp rates, and tuned droop characteristics), advanced wind turbine grid support features, new operating strategies, wind forecasting and refinements to the up and down reserve requirements. This paper will present the key findings in the context of useful insights and lessons learned that are relevant to other island power systems considering very high levels of wind power.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126526233","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: 4

Two-layered EPSO for maximizing loadability with FACTS devices 双层EPSO用于最大化FACTS设备的可加载性

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082237

H. Mori, H. Fujita

引用次数: 3

Adapting EV-microgrid concepts to european grid standards related to power quality 使电动汽车微电网概念适应与电力质量相关的欧洲电网标准

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082206

M. Moschakis, E. Karfopoulos, E. Zountouridou, S. Papathanassiou

引用次数: 12

Heuristic optimal restoration based on constructive algorithms for future smart grids 基于建设性算法的未来智能电网启发式最优恢复

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082202

S. Adhikari, F. Li, Qinran Hu, Zhenyuan Wang

引用次数: 5

Transforming continuous attributes using GA for applications of Rough Set Theory to control centers 利用遗传算法变换连续属性，将粗糙集理论应用于控制中心

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082230

M. A. Carvalho, C. H. V. Moraes, G. Lambert-Torres, L. E. B. D. Silva, A. R. Aoki, A. Vivaldi

引用次数: 5

A data-mining based methodology for win forecasting

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082223

S. Ramos, J. Soares, Z. Vale, H. Morais

引用次数: 8

A pareto optimization approach of a Gaussian process ensemble for short-term load forecasting 短期负荷预测的高斯过程集合pareto优化方法

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082231

M. Alamaniotis, A. Ikonomopoulos, L. Tsoukalas

{"title":"A pareto optimization approach of a Gaussian process ensemble for short-term load forecasting","authors":"M. Alamaniotis, A. Ikonomopoulos, L. Tsoukalas","doi":"10.1109/ISAP.2011.6082231","DOIUrl":"https://doi.org/10.1109/ISAP.2011.6082231","url":null,"abstract":"Accurate prediction of load demand remains a challenge for efficient power distribution and becomes critical in the context of smart grid management when the presence of stochastic sources adds to the stochasticity of demand. Short-term load forecasting involving demand prediction in the range of hours or days is of special interest to generators and power customers. A number of methods has been developed for fast and accurate electric power forecasting. Among others, Gaussian process (GP) regression has been used for prediction in the nonlinear problems with promising results. On that direction, an ensemble of Gaussian process regressors modeled as kernel machines is proposed for load forecasting. The use of different kernels accommodates the construction of a group composed of different predictors and its evolution using genetic algorithms. The proposed approach takes the form of a multiobjective problem in which the objectives consist of a set of criteria. In order to optimize all the criteria it needs to use Pareto optimality to identify an accepted solution. The results obtained show that the ensemble of GP predictors outperforms each individual forecaster.","PeriodicalId":424662,"journal":{"name":"2011 16th International Conference on Intelligent System Applications to Power Systems","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121268275","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

ASISTO: An integrated intelligent assistant system for power plant operation and training ASISTO:发电厂运行和培训的集成智能辅助系统

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082189

A. Reyes, P. H. Ibarguengoytia, F. Elizalde, Liliana Sanchez, Alondra Nava

引用次数: 3

Situation-aware Demand Response in the smart grid 智能电网中的态势感知需求响应

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082176

B. Magoutas, Dimitris Apostolou, G. Mentzas

引用次数: 4

Natural optimization applied to medium-term hydrothermal coordination 中期热液配位的自然优化应用

2011 16th International Conference on Intelligent System Applications to Power Systems Pub Date : 2011-11-18 DOI: 10.1109/ISAP.2011.6082235

V. H. Ferreira, G. H. C. Silva

引用次数: 11