摘要
为提高电网中的风电利用率,一个可能途径是通过利用火电机组的蓄热能力,使之获得较快的爬坡速率去响应具有波动性和间歇性的风电出力。本文针对含风电与火电的电力系统经济调度问题,提出一个包含机组蓄热利用决策的优化模型。含蓄热的火电机组与传统火电机组不同,其爬坡能力是动态变化且具有记忆性的,因此需要针对此类机组建立新的爬坡率约束。文中将上述约束转化为等价的线性形式,并采用混合整数规划方法求解。仿真算例结果表明:含蓄热机组所提供的额外爬坡能力使系统中的风电利用率得到了显著提高。
To improve the utilization levels of wind energy in power grids,one possible way is to make use of the heat storage in thermal generators to achieve fast ramping capabilities,so that they can catch up with the fluctuating and intermittent wind power. This paper presents an optimization model considering decisions of thermal unit heat usage for the economic dispatch of wind-thermal power systems containing heat storage units. Output characteristics of such units are distinguished from conventional ones in that their ramp rates are dynamic and with memory,thus new models of ramp rate constraints need to be established. We convert the above constraints to equivalent linear forms,and then solve the problem by using mixed integer programming methods. Numerical results show that additional ramping capabilities from heat storage units lead to substantial improvements in wind power utilization.
出处
《热能动力工程》
CAS
CSCD
北大核心
2017年第S1期74-79,130-131,共6页
Journal of Engineering for Thermal Energy and Power
关键词
机组蓄热
风电利用率
爬坡率
经济调度
混合整数规划
heat storage
wind utilization
generation ramping
economic dispatch
mixed integer programming