Robust Planning of the Islanded Hybrid System Including Renewable and Non-Renewable Sources and Stationary and Mobile Storages

Subject Areas : Renewable energy

Farshad Khalafian ¹

1 - Ahwaz Pipe Mills- Karoun Industrial Zone, Ahwaz, Iran.

Received: 2021-05-01 Accepted : 2021-08-24 Published : 2023-05-22

Keywords: Robust Optimization, Hybrid evolutionary algorithm, Stationary and mobile storage, Islanded hybrid system, Renewable sources,

Abstract :

In this paper, the robust planning of the islanded hybrid system (IHS) to create an integrated system with wind turbine, photovoltaic, diesel generator, stationary (battery) and mobile (electric vehicles) storages is presented. The proposed scheme minimizes the planning cost (including construction, maintenance, and operation) of the mentioned sources and storages, and environmental pollution level. This problem is constrained to operation and planning model of the different sources and storages, and power balance constraint in IHS. The proposed scheme is formulated in the Pareto optimization framework based on method of the summation of weighted functions. Also, the bounded uncertainty-based robust optimization (BURO) is used to model the uncertainties of load, renewable power, and energy of mobile storage. Then, the hybrid evolutionary algorithm according to composition of Krill Herd Optimization (KHO) and Grey Wolf Optimization (GWO) algorithms obtains an optimal solution including low standard deviation in the final response. Finally, it is seen that the proposed scheme has a suitable capability in the planning of the proposed system according to economic and environmental viewpoints based on obtained numerical results.

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