摘要
针对我国电力行业节能减排的要求,建立了同时考虑调度周期内煤耗量、污染物气体排放量最小的多目标动态优化调度模型,利用模糊集理论使多目标优化问题转化为求取满意度最大的单目标问题。在原对偶解耦内点法的修正方程中引入关于满意度的一系列方程,推导出适合求解多目标动态优化调度问题的算法。IEEE-30节点系统上的测试结果验证了所提模型和算法的可行性和有效性。
According to the energy-saving and emission-reducing request of our power introductory,a dynamic optimal dispatch model is formulated considering both minimum fuel consumption and minimum exhaust emission during dispatching period.The multi-objective optimal problem is reformulated into single objective problem maximizing satisfaction by means of fuzzy set theory.A series of equations about satisfaction are newly added to the KKT（Karush-Kuhn-Tucker） equations,forming a method suitable for the proposed model.The numerical results on IEEE 30-bus system verify the feasibility and effectiveness of the proposed model and method.
出处
《江苏电机工程》
2011年第2期11-15,19,共6页
Jiangsu Electrical Engineering
关键词
原对偶解耦内点法
多目标
动态优化调度
节能减排
primal-dual
interior point method
multi-objective
dynamic optimal dispatch
energy-saving and pollutant emission reducing
