摘要
在电力市场环境下,对电力系统环境保护问题加以研究,是当前面临的一个重要问题。该文提出一种考虑了多种污染排放指标的最优潮流问题的新算法。该方法把购电成本及多个污染排放指标计入目标函数,由逐次线性规划内点法求得非劣解集,运用模糊贴近度的概念,从多个非劣解中找出最贴近于理想解的最优解。该方法只需对最优潮流模型作一定的修改,在不添加环保设备的情况下,能有效地减轻火力发电厂对环境的污染。该方法只需对最优潮流模型作一定的修改,在不添加环保设备的情况下,能有效地减轻火力发电厂对环境的污染。通过对IEEE 30节点系统算例的数值分析,验证了算法的有效性。
A new algorithm for solving optimal power flow (OFF) problems is presented with minimizing polluting indexes. The purchase cost and the multiple polluting indexes are counted in the objective function. The problem is solved by an efficient interior point method through successive linear programming. An optimal solution to full extent close to the ideal solution in non-inferior solutions is found by using the concept of fuzzy nearness. Only minor modifications of the optimal power flow model are required to reduce three types of atmospheric pollutions produced by fossil-fired electric power plants without adding new equipments. IEEE 30 bus test system is run. The validity of the algorithm is illuntrated by the numerical results.
出处
《中国电机工程学报》
EI
CSCD
北大核心
2003年第4期21-26,共6页
Proceedings of the CSEE
基金
中国博士后基金项目
