一种新的无功电力定价算法

文章在短期边际成本方法的基础上,提出了一种考虑系统的静态电压稳定性、区域无功备用要求和无功电源投资回收的新的无功实时电价模型.在算法上采用并行遗传算法,保证了最优解的全局性,在一定程度上提高了算法的稳健性及计算速度.经IEEE 14节点算例验证,该文的模型和算法是有效的,具有较好的应用价值,并且对无功优化问题具有一定的借鉴意义.

A NOVEL PRICING ALGORITHM FOR REACTIVE POWER

On the basis of short-term marginal cost method a novel pricing model for reactive power is proposed in which the static voltage stability of the system, the demand of regional reactive power reserve and the investment recovery of investment for reactive power are considered. In this method the parallel genetic algorithm is used to ensure the global optimal solution and to improve the calculation speed and the robustness of the method to a certain degree. Verified by the calculation example of IEEE 14 nodes, the presented model and algorithm are effective and applicable and can be available for reference of reactive power optimization.