摘要
提出一种考虑风电时空分布特性和运行风险约束的多风电场准入容量分析方法。通过引入Copula函数刻画风电场群并网时各风电场出力在时间上的随机性和在空间上的相关性。在综合考虑线路及旋转备用风险的基础上,建立了一定风险阀值下的多变量、非线性优化模型,并利用基于蒙特卡洛模拟技术的改进粒子群爬山混合算法求解。以含2个风电场的IEEE-30节点系统为算例,仿真结果表明了风电时空分布特性、风险水平和备用容量等因素对准入容量的重要影响,并验证了上述方法的可行性和有效性。
Considering spatial and temporal distribution characteristics of wind power generation and operation risk constraints, a method to analyze the acceptable capacity of multi wind farms is proposed. The temporal randomness and spatial correlation of all wind farms during the grid-connection of wind farm group are depicted by Copula function. Synthetically considering risks of transmission lines and spinning reserve, a nonlinear multivariable optimization model under a certain risk threshold is established and solved by Monte Carlo simulation based hybrid algorithm of improved particle swamp optimization（PSO） with hill climbing algorithm. Taking IEEE 30-bus system containing two wind farms as example, simulation results show that the factors such as spatial and temporal distribution characteristics of wind power generation, the risk level and the reserve capacity greatly impact the acceptable capacity of wind farm group, and both feasibility and effectiveness of the proposed method are validated.
出处
《电网技术》
EI
CSCD
北大核心
2014年第7期1861-1866,共6页
Power System Technology
基金
国家自然科学基金项目(51107109)~~
