Secure and decentralized framework for energy management of hybrid AC/DC microgrids using blockchain for randomized data

Abstract

Optimal management and performance of renewable hybrid microgrids (MGs) is a serious subject because of the voltage level / equivalent kind and also various kinds of distributed generation (DG) and load on components of AC and DC. This framework needs a robust and distributed optimal planning frame to avoid the central control method applied in traditional MGs. Therefore, this paper introduces a secured blockchain-based framework for the optimal management and analysis of renewable hybrid MGs in multi-agent distributed structures. The proposed structure firstly divides the hybrid microgrid (MG) into several agents and afterward, utilizes a distributed formula for solving the optimal planning issue. Various agents have the capability of exchanging restricted data together till a consensus is reached among them via multiple iterations. Applying the alternating direction technique, it has been proven that the ultimate operating point of consensus is the universal optimal solution for the cost operation of a hybrid MG. According to the nonlinear and non-convex properties of the augmented Lagrangian formed in this offered structure, an optimization algorithm based on the Whale Optimization Algorithm (WOA) has been offered to solve this offered augmented function and afterward, a useful stochastic planning process such as unscented transformation (UT) has been used. The possibility and satisfactory efficiency of this offered model are investigated on an IEEE system.