Complementarity Evaluation Index System and Method of Multiple Power Sources

In order to specifically make the evaluation of the complementarity of multiple power sources, we classify them into renewable power sources and controllable power sources. Six complementarity evaluation indexes are proposed based on the intrinsic complementarity of renewable power sources and the regulation capability of controllable power sources. To improve the traditional Analytic Hierarchy Process (AHP), we combine the expert group decision-making and Monte Carlo's ideas. To improve the traditional Technique for order Preference by Similarity to an Ideal Solution (TOPSIS), we combine the idea of Euclidean distance and grey correlation from two perspectives of position and shape. Therefore, an evaluation method for the complementarity of multiple power sources is established from these two aspects. Finally, a concrete case is used to verify the validity and rationality of the established evaluation index system and method.