摘要
针对提高风电消纳能力的储能优化配置问题,提出了综合考虑风储系统、常规机组和电网相互关系的储能随机规划模型。模型首先通过序贯蒙特卡洛仿真法准确模拟了风储联合系统的长期运行特性,然后利用模拟数据计算风电场弃风比例指标,进而提出了以弃风比例为约束、投资成本最小的储能功率和容量配比优化方法。基于IEEE RTS系统进行了仿真计算,模拟结果体现了风电场弃风的季节性和日特性,验证了所提模型的有效性,并进一步讨论了储能类型和风电时空特性对储能配置方案的影响。
In allusion to the problem of energy storage optimization configuration for improving wind power absorption, a stochastic programming model for energy storage comprehensively considering of interaction of wind storage system, con- ventional units and power grids is proposed. Firstly, the model correctly simulates long-term operational characteristic by means of sequence Monte Carlo simulation method, uses simulating data to calculate proportional index of wind power cur- tailment in the wind power field, and then proposes an optimizing method for matching stored power and capacity which takes wind power curtailment as constraint and minimizes investment cost. On the basis of IEEE RTS system, simulating cal- culation is carried out and results reflect seasonality and daily characteristic of wind power curtailment in the wind power filed and verify effectiveness of the model. It also further discusses affect on energy storage configuration scheme by energy storage types and temporal and spatial characteristics of wind power.
出处
《广东电力》
2015年第12期19-24,共6页
Guangdong Electric Power
基金
国家自然科学基金项目(51190101)
国家高技术研究发展计划(863计划)资助项目(2011AA05A112)
关键词
储能配置
风电消纳
随机规划
序贯蒙特卡洛仿真
弃风比例
energy storage configuration
wind power absorption
stochastic programming
sequential Monte Carlo simula- tion
wind power curtailment proportion
