摘要
电网消纳扰动性风电的能力是制约风电发展的瓶颈。传统火电机组负荷响应速率较低难以完成这一要求。供热机组热网中大量管道、换热器、散热器具有很大的蓄热能力,可以在短时间内利用其蓄热提高其负荷响应能力。在实验验证这一思路的基础上,通过对自动发电控制(AGC)负荷指令进行非线性多尺度分解,构造了供热机组负荷指令,针对典型供热机组简化非线性动态模型,设计了一种机组优化控制系统方案,可以在不影响热用户的前提下,充分利用供热热网蓄热,大幅度提高机组负荷响应速率,补偿风电随机性扰动。
The ability of absorbing the disturbance of wind power generation has become a bottleneck to the development of the wind power. Because of the lower load response rate, traditional thermal power units cannot meet the requirement. The pipe line, heat exchanger and radiator in the heat supply network of heat supply units have huge capacity of thermal storage, which can be used to improve the load response rate within a short time. Based on the idea of experimental verification, by nonlinear multi-scale decomposing of automatic generation control （AGC） load order, the load order of heat supply units is constructed. According to the simplified nonlinear dynamic model of typical heat supply units, the optimization control scheme for units is designed. The scheme can take full advantage of the thermal storage in the heat supply network, which can improve the load response rate of the units drastically and can compensate the stochastic disturbance of wind power generation without the influence on the heat consumer.
出处
《电力系统自动化》
EI
CSCD
北大核心
2014年第6期26-32,共7页
Automation of Electric Power Systems
基金
国家重点基础研究发展计划(973计划)资助项目(2012CB215203)
中央高校基本科研业务费专项资金资助项目(11QG73)~~
关键词
风电并网
供热机组
调峰
调频
蓄热
优化控制
wind power integration
heat supply unit
peak load regulation
frequency regulation
thermal storage
optimization control
