The source-load-storage coordination and optimal dispatch from the high proportion of distributed photovoltaic connected to power grids

With the rapid development of distributed PV, many distributed PV devices are connected to the power grid, which is essential to optimize the scheduling in the power grid containing a high proportion of distributed PV. In this paper, a new day-ahead optimal dispatching model of a power system combined with the high proportion of photovoltaic is established. The impact of time-of-use tariffs on customers and the regulation of electricity by energy storage plants are considered in the model. The main contribution of this paper is that providing a better solution for grids with a high proportion of distributed photovoltaic, reducing carbon emissions and improving photovoltaic consumption. A solution approach i.e., Wild horse optimizer (WHO) is employed to optimal dispatch. The results show that compared with the Particle swarm algorithm, using the Wild horse optimizer has saved 16% costs, reduced 28% in thermal power carbon emissions, and increased 24% in distributed PV utilization rates. Wild horse optimizer is a better optimal approach which can reduce distributed PV abandonment rates and decrease costs when applied to the optimal scheduling in the grid with high percentage of distributed photovoltaic.