Power Mismatch Estimation in Smart Grid Using Distributed Control

One of the major challenges in the area of smart grids is the management of power between consumers and generators. Traditionally, the power mismatch is managed in a centralized fashion which has major shortcomings of complexity, requires large bandwidth, ineffectiveness, and unscalable. To address these problems, this paper presents a novel distributed mismatch technique in smart grids. In this algorithm, every generation and consumer unit, has to estimate the total power that has been generated, the total load and the power mismatches. The coordination and control of power nodes is achieved through distributed manner. The proposed technique achieves through consensus algorithms. Such distributed technique prevails task sharing, surviving on single link failure, efficient decision making, the fastest convergence, and autonomy for the global power nodes. The technique is suitable for all types of grid in islanded and connected mode. We evaluated optimization factors: rapid convergence, fast computation, scalability and effectiveness. The proposed distributed network examined power systems using random, unreliable, unpredicted, and arbitrary topologies. It explores distributed node convergence, optimality, and status sharing through Graphs and Matrix theories. The communication reliability, link stability, privileges distribution, comparative cost, and adoptability of propose distributed technique has been assessed. Moreover, the proposed scheme is evaluated under different communication topologies and experimental testbed results to explain the effectiveness of the algorithm.