Application of an Extended Crisscross Algorithm in the Wind-Solar-Hydrothermal Power System Dispatching

Abstract

In recent years, domestic renewable energy has developed rapidly, and the total penetration has an obvious growth tendency. Considering the involvement of wind and solar energy, the power generation structure of traditional hydrothermal energy will change. Simultaneously, the wind and solar energy has the characteristics of discontinuous and volatile power generation, such as climate and seasonality, which brings great difficulties to the water-solar-hydrothermal generation energy power system optimization dispatch (WSHTGEPSOD) problem. Recently, a scholar proposed a novel crisscross search optimization (ECSO) algorithm for economic emission dispatch (EED) of traditional pure thermal power system (PTPS) and hydrothermal generation system (HTGS). This algorithm can quickly and stably find the optimal solution set in these systems. The correctness of the solution set has been compared with the optimization results of many scholars', confirming the superiority of ECSO. In order to solve the WSHTGEPSOD problem, this paper will build a combined model based on the wind-solar-hydrothermal power generation system (WSHTGS) model which frequently used in the world. This model entirely considers the maintenance cost of underestimation and overestimation on wind power generation, as well as transmission loss and photovoltaic real-time, then the ECSO is applied in it. The experimental results show that the optimization performance of ECSO on the WSHTGEPSOD problem is superior than that of CSO, and it is verified that the proposed wind-solar-hydro-thermal model can adjust the thermal power generation output in combination with the characteristics of wind, solar and water energy generation under the condition that the entire power generation output remains unchanged, so as to reduce pollution emissions and expand economic benefits.