摘要
为解决目前中国面临的风电消纳难题,提出利用多元发输电资源在年度、月度等长时间周期,以及在跨区跨省等更大范围协调消纳,可提升风电等清洁能源的消纳水平。建立以系统运行成本最小为目标的长周期大范围风电消纳的电力电量联合优化模型,解决了时段耦合的电力电量联合优化建模,多元发电、发输电协调优化建模等长周期优化的关键问题,通过混合整数规划加以求解,实现了长周期大范围风电消纳的定量决策。利用某区域电网的电力系统实际算例对模型进行测试,算例分析表明,模型能够在长周期协调优化不同类型的发电机组与输电线路,提升风电消纳水平。
In order to solve wind power accommodation problem in China,this paper proposes to take advantage of clean energy”s long-term seasonal fluctuation characteristics over annual or monthly period,or to utilize the complementary nature of power supply and load characteristics in different regions.By building power and energy joint optimization model for long-term large-range wind power accommodation to minimize system operating costs,key problems like temporal-coupling power and energy joint optimization modelling problem, multi-generation, generation and transmission coordinative optimization modelling problem are solved.In addition,quantified decision making for long-term large-range wind power accommodation is achieved by using mixed integer programming (MIP).The model is tested with a practical example of a regional grid power system.The numerical example shows that the model can coordinately optimize different types of generating units and transmission lines in a long period,and improve the accommodation level of wind energy.
出处
《电力系统自动化》
EI
CSCD
北大核心
2015年第18期145-150,共6页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(51477157)
国家电网公司科技项目(DZN17201400039)
江苏省社会科学基金项目(14EYD004)
中国电力科学研究院创新基金资助项目(DZ83-14-001)
南京工程学院创新基金项目(14EYD004)~~
关键词
风力发电
清洁能源
消纳能力
长周期
大范围
电力电量
联合优化
wind power generation
clean energy
accommodation capacity
long-period
large-range
power and energy
joint optimization
