Real-time generation scheduling model and its application considering deep peak regulation of thermal power units[J]. 2019, 39(3): 108-113. DOI: 10.16081/j.issn.1006-6047.2019.03.017.
Real-time generation scheduling model and its application considering deep peak regulation of thermal power units
摘要
伴随我国大规模新能源接入和用电峰谷差日趋增大
调峰需求逐步提升
而由于我国电源结构不尽合理
调峰电源紧缺
造成电网调峰困难。深度挖掘火电机组深度调峰能力
分析其运行特性
在常规优化模型的基础上
引入深度调峰出力平稳段运行时间、最小深度调峰时间等约束
并对机组最大最小出力、爬坡等常规约束进行改进
建立考虑火电机组深度调峰的实时发电计划优化模型。采用广东电网实际运行数据进行算例分析
结果满足电网实际运行需求。
Abstract
The demand of peak regulation is gradually growing along with the access of large-scale renewable energy and the gradual increase of electricity peak-valley difference
while the power source for peak regulation is insufficient due to the unreasonable power source structure in China
which causes difficulties in peak regulation of power grid. The deep peak regulation ability of thermal power units is deeply excavated
and their operation characteristics are analyzed. On the basis of conventional optimization model
the constraints such as operation time in stationary segment of deep peak regulation output and minimum deep peak regulation time are introduced
the conventional constraints such as maximum and minimum unit output and ramping are improved
and an optimal real-time generation scheduling model with the consideration of deep peak regulation of thermal power units is built. The practical operation data of Guangdong Power Grid is used for case analysis
and the results meet the requirement of practical power grid operation.
Coordinated planning of thermal generator deep peak regulation and composite energy storage considering carbon emission reduction and new energy consumption
Related Author
QIN Jinghui
SHI Wen
SUN Xiaorong
WANG Jiwen
WANG Zhengfeng
PAN Xueping
ZHU Jianyu
SU Zihang
Related Institution
College of Energy and Electrical Engineering,Hohai University
State Grid Anhui Electric Power Co.,Ltd.
Huaneng Dalian Power Plant
College of Electrical Engineering,Dalian University of Technology
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University