摘要
利用储能平抑风电波动时,应当保证并网功率爬坡率满足国家风电并网标准中的相关要求。文中研究了抑制风电爬坡率的风储联合优化控制方法。根据国家标准中"有功功率变化"的文字说明,提出了新的风电并网功率爬坡率的数学表达,并提出同时考虑弃风和储能控制手段的风储联合控制方法,以风储联合运行的效益最大化为目标,利用风功率超短期/短期预测数据进行滚动优化控制。基于实际的风电场数据设计了算例系统,并采用遗传算法求解。结果表明该控制方法能够保证风储联合发电功率满足国家风电并网标准对风电有功功率变化的要求。
To comply with the national standard of wind power integration, the fluctuations of wind power must be mitigated. An optimization control method of wind/storage hybrid system is proposed, which can suppress the wind power ramp rate and meet the ramp rate requirement in the standard. A mathematical expression for wind power ramp rate is presented as per the definition of active power change in the national standard. Based on the ultra-short-term/short-term wind power prediction, a rolling optimization model which adopts wind curtailment control and storage control is established to maximize the total profit of wind/storage hybrid system. The model is solved by genetic algorithm. A test case is developed based on the parameters of a practical wind plant to show its effectiveness.
出处
《电力系统自动化》
EI
CSCD
北大核心
2013年第13期17-23,共7页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51177019)
国家高技术研究发展计划(863计划)资助项目(2011AA05A105)
国家电网公司科技项目"大规模风电并网调度运行支撑关键技术研究与应用"~~
关键词
风力发电
储能
爬坡率控制
有功功率变化
弃风
滚动优化
风电并网
wind power
storage
ramp rate control
active power change
wind curtailment
rolling optimization
wind power integration