Optimal dispatching method based on actual ramp rates of power generation units for minimising load demand response time

被引:0
作者
Wei, Mengyao [1 ]
Yang, Zijiang [1 ]
Wang, Jiandong [1 ]
Gao, Song [2 ]
You, Daning [3 ]
机构
[1] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Peoples R China
[2] Shandong Elect Power Res Inst, Jinan, Shandong, Peoples R China
[3] Shandong Elect Power Dispatching Control Ctr, Jinan, Shandong, Peoples R China
关键词
power grids; optimisation; Bayes methods; power generation economics; power generation dispatch; demand side management; probability; numerical analysis; load management; optimal dispatching method; power generation units; optimal load demand changes; total load demand change; minimum response time; actual ramp rates; historical data; piece-wise linear representations; optimisation problem; Bayesian estimators; yield posterior probability distributions; RENEWABLE ENERGY-SOURCES; ANCILLARY SERVICES; OPTIMIZATION; ENHANCEMENT; PERFORMANCE; ALGORITHM; OPERATION;
D O I
10.1049/iet-gtd.2020.1329
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This study proposes a method to determine optimal load demand changes of power generation units, in order to complete a total load demand change for power grids in the minimum response time. The main feature is to exploit the information of actual ramp rates, which are the maximum changing speeds of generated powers in practice from power generation units. The proposed method is composed of two steps. First, actual ramp rates are estimated from historical data based on the piece-wise linear representations of generated powers. Second, optimal values of load demand changes are determined based on the solutions to an optimisation problem minimising the response time. A main challenge is on the uncertainties of estimated actual ramp rates and their effects on the response time. This challenge is resolved by exploiting Bayesian estimators to yield posterior probability distributions of the estimated actual ramp rates, from which the optimal response time and its confidence interval are obtained. Numerical examples are provided to support the proposed method and compare with existing methods.
引用
收藏
页码:6562 / 6568
页数:7
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