Dynamic Economic Dispatching Strategy Based on Multi-time-scale Complementarity of Various Heterogeneous Energy

Abstract

Large-scale new energy incorporation presents great challenges to the power system economic dispatch. Complementary system can effectively enhance the accommodation of new energy. However, current complementary system day-ahead dispatch models have not considered the actual complementary and smoothing effect. Thus, a dynamic economic dispatch strategy based on multi-time-scale complementarity of wind, solar, hydro and thermal power is proposed. Wind, solar and hydro power is bundled as a virtual power (VP) according to their complementary features. The load tracking index is defined to represent the ability of the VP to track the load so that it can well follow the load curve. Meanwhile, a multi-time-scale complementary dispatch model is established, which includes a day-ahead 24h scheduling, an intra-day 4h rolling scheduling and a real-time 15min scheduling. According to the latest forecast, the day-ahead scheduling is amended continually, the VP output is adjusted continually to maintain its good tracking and the best complementary effect is also achieved. An example is calculated to verify that this strategy can effectively improve the actual complementary and smoothing effect of the complementary system, relieve the dispatch pressure as well as reduce the generation cost.