the dispatch mode of power system will develop from “generation tracking load” dispatch to the “sourcegridload” smart interactive dispatch. At the same time
both the power supply side and load side have uncertainties. In order to deal with the problem
this paper considers the uncertain factors in three aspects
the uncertainty of wind power output fluctuation
that of load variation
and that of the interactive process. First
the form of characterization for the price elasticity load response probability considering uncertainty is described. Through the price elasticity coefficients
the uncertainty of the price elasticity load response and the range of response are analyzed to reflect the randomness and subjectivity of the response behavior. Then
based on the traditional mathematical model of probabilistic power flow calculation
the uncertainty demand response quantity is regarded as randomly injected variables and introduced in the “wind powerprice elasticity load” interactive probabilistic load flow model to improve the comprehensiveness and accuracy of the demand response mechanism. And the point estimation method is used to calculate the statistical characteristics of power flow value. The digital simulation results of an IEEE 73bus system show that the model uses the priceelasticity load response to bridge the gap due to the power output fluctuation of wind power. Also
the adverse impact on branch power flow is reduced. The point estimation method used to solve the model is expected to effectively deal with both discrete and continuous uncertainties thanks to the high precision and light workload. This work is supported by National Basic Research Program of China (973 Program) (No. 2013CB228206) and State Grid Corporation of China.
Optimal Configuration Method of Generation Capacity for Stand-alone Microgrid with Pumped Heat Energy Storage
Related Author
Zhe CHEN
Luyu WANG
Chuangxin GUO
Guang MA
Jinjiang ZHANG
ZHANG Xiaohui
LI Xue
FU Yunyue
Related Institution
College of Electrical Engineering, Zhejiang University
College of Electrical Engineering, Zhejiang University of Science & Technology
Key Lab of Power Electronics for Energy Conservation and Motor Drive of Hebei Province (Yanshan University)
Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education (Northeast Electric Power University)
Key Laboratory of the Ministry of Education on Smart Power Grids(Tianjin University)