Stochastic Planning of the Hybrid System with Wind Turbine and Biomass Energy Unit System besides Battery and Electric Vehicles Parking Lot Considering Storage Degradation

This paper presents the planning of a hybrid system with wind turbines and biomass energy sources, and batteries and electric vehicles parking lot. The proposed scheme minimizes the total costs of construction and maintenance for sources and storage and the degradation cost of storage. It is subject to the operating model of sources, storage, and power electronic converters. To provide clean energy, the priority of supplying the energy demand is given to renewable sources, and then the storages cover the distance between the load profile and the generation power of the sources. Furthermore, the proposed scheme has uncertainties regarding the load, renewable power, and energy consumption of mobile storage devices. In this paper, scenario-based stochastic planning is adopted to model the mentioned parameters. The combined algorithm of Ant lion optimization and Krill Herd optimization extracts a reliable optimal solution with low dispersion in the final response. Finally, the obtained numerical results demonstrate the capability of the proposed scheme in deriving economic planning for the proposed hybrid system, in which the presence of renewable resources leads to the extraction of an environmentally-friendly hybrid system, and the energy management of mobile storage devices reduces the planning cost of the hybrid system by 1.9% compared with a case with their absence.