摘要
该文在充分考虑了电力系统静态安全约束和电力系统暂态稳定性约束的条件下,提出了基于改进粒子群算法求取并网风电场最大准入功率的智能计算方法。相比较于近似线性规划方法,粒子群算法能快速有效地通过寻优得到最佳解,同时通过对粒子群算法的改进,有效避免了粒子群寻优可能产生的局部极小化问题。通过在EPRI-36节点系统上进行仿真分析,验证了所提方法的有效性,同时对影响风电场准入功率极限的相关因素进行了分析。对于实际风电接入系统,确定其准入功率极限非常重要。
Under the static security constraints and transient stability constraints, a particle swarm optimization for deter- mining wind power penetration limit in power system was presented. Compared with approximate linear programming method, PSO can quickly and efficiently receive optimal solution through the optimization. Through the improvement of PSO, the global optimal searching ability of the proposed algorithm is further improved and it can avoid the local mini- mum trap. The method mentioned in this article is proved to be effective through using EPRI-36 example. At the same time, the other relevant factors which impact wind power limit are also analyzed. It is important to analysis in the eventu- al detennination of its maximum wind power injection.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2010年第5期630-635,共6页
Acta Energiae Solaris Sinica
基金
国家高技术研究发展(863)计划(2008AA05Z216
2007AA05Z249)
高等学校学科创新引智计划(B08013)
国家自然科学基金(50877026)
关键词
风力发电
粒子群算法
准入功率极限
风电并网
wind power
particle swarm optimization
wind power penetration limit
wind power integration
