摘要
研究基于函数变换与广义逆矩阵的优化新算法的一般数学表述及最优性判断方法,给出概率无功优化的解析法模型。综合运用优化算法、随机生产模拟和概率模拟方法,研究系统无功补偿合理配置。通过概率、N-1和时段的无功优化,使优化不局限于一个或几个特定方式和负荷水平,以满足负荷随机变化或随时间变化、事故及检修方式及整个时段优化运行的要求。给出计算实例。
The mathematical representation of a new optimization algorithm and the method to recognize the optimality of the results, which based on functional transformations and generalized inverse matrices, and the analysis model of probabilistic reactive power optimization were presented. The optimization technique was used in combination with stochastic production simulation and probabilistic simulation to study the rational configuration of reactive power compensation of power systems. By using probabilistic and N-1 and time reactive power optimization integrally, the optimizations are not refined to one or a few special operation modes and load levels, but meet the demands that the loads fluctuate stochastically or timely in the emergency or maintenance operation modes and in the total operation time. The case studies were provided.
出处
《中国电力》
CSCD
北大核心
2008年第10期10-14,共5页
Electric Power
关键词
无功优化
广义逆矩阵
概率模拟
随机生产模拟
reactive power optimization
generalized inverse matrices
probabilistic simulation
stochastic production simulation
