在对M RD进行力学性能试验研究的基础上,提出一个新的力学模型—双s igm o id模型。该模型的突出优点是考虑了施加电流、激励性质等因素的影响,且参数识别容易、物理概念清晰。在不同激励性质和电流下,该模型与试验结果相比均能较准确...在对M RD进行力学性能试验研究的基础上,提出一个新的力学模型—双s igm o id模型。该模型的突出优点是考虑了施加电流、激励性质等因素的影响,且参数识别容易、物理概念清晰。在不同激励性质和电流下,该模型与试验结果相比均能较准确地描述M RD低速区的滞回非线性及在高速区的饱和特性。展开更多
Demand response(DR)is usually regarded as a valuable balancing and reserve resource that contributes to maintaining power balance and integrating renewable energies.However,the price elasticity curve of the DR resourc...Demand response(DR)is usually regarded as a valuable balancing and reserve resource that contributes to maintaining power balance and integrating renewable energies.However,the price elasticity curve of the DR resources is influenced by consumers’behavioral uncertainty and therefore is difficult to predict.Consequently,additional risk may be introduced to composite power system reliability.Considering that,this paper investigates a reliability assessment of composite power system considering both the merits and potential uncertainty involved in the DR.First,the psychological behavior and consumption behavior of consumers are characterized in the DR modeling.A novel DR uncertainty index(denoted as I^(U))measures uncertainty of consumer’s behavior when electricity price changes.Then,an advanced Sigmoid cloud model is proposed to depict the comprehensive uncertain mapping relationships between price and I^(U).Moreover,an improved demand elasticity matrix is proposed,in which price-quantity elastic coefficients are modified by the I^(U)index.Finally,a reliability assessment framework for a composite power system is developed considering the uncertain price-based DR model and a k-means algorithm is used to accelerate the assessment process.Accuracy and effectiveness of the proposed method are investigated through the case study on RBTS,RTS79 and RTS96 reliability test systems.展开更多
基金financially supported by the National Natural Science Foundation of China (No. 51475165,11462004)the Natural Science Foundation of Jiangxi Province of China (No. 20151BAB206035)+1 种基金Jiangxi Provincial Foundation for Leaders of Academic and Disciplines in Science (No. 20162BCB22019)the Educational Commission Project of Jiangxi Province of China (No. GJJ150525)
基金supported by the National Natural Science Foundation of China(52107072).
文摘Demand response(DR)is usually regarded as a valuable balancing and reserve resource that contributes to maintaining power balance and integrating renewable energies.However,the price elasticity curve of the DR resources is influenced by consumers’behavioral uncertainty and therefore is difficult to predict.Consequently,additional risk may be introduced to composite power system reliability.Considering that,this paper investigates a reliability assessment of composite power system considering both the merits and potential uncertainty involved in the DR.First,the psychological behavior and consumption behavior of consumers are characterized in the DR modeling.A novel DR uncertainty index(denoted as I^(U))measures uncertainty of consumer’s behavior when electricity price changes.Then,an advanced Sigmoid cloud model is proposed to depict the comprehensive uncertain mapping relationships between price and I^(U).Moreover,an improved demand elasticity matrix is proposed,in which price-quantity elastic coefficients are modified by the I^(U)index.Finally,a reliability assessment framework for a composite power system is developed considering the uncertain price-based DR model and a k-means algorithm is used to accelerate the assessment process.Accuracy and effectiveness of the proposed method are investigated through the case study on RBTS,RTS79 and RTS96 reliability test systems.
