The design of intelligent strategies for grid management is a cost-effective solution to increase the hosting capacity of distribution grids without investing in the reinforcement of the grid assets. This paper presents a distributed voltage control algorithm to coordinate Energy Storage Systems (ESSs) and Distributed Generation (DG) in a scenario of high renewable penetration. The proposed control algorithm relies on a dual decomposition approach and aims at mitigating possible voltage rise events occurring in the Low Voltage (LV) grid by solving an optimization problem of power minimization. Instead of using local control strategies, in the proposed solution, the voltage control burden is distributed among all the available resources in the grid, which cooperate to resolve the existing voltage violations. The performance of the developed voltage control has been tested under realistic distribution grid scenarios, using stochastic load profiles together with photovoltaic generation profiles obtained in the presence of both clear sky and cloudy sky conditions. The algorithm is also compared to a strategy that considers only DG management, highlighting the benefits associated to the proposed coordination of DG and Energy Storage Systems (ESSs).
This paper investigates two control approaches to stabilize MVDC microgrids under large perturbations. The control approaches compared here are a 2 Degree of Freedom (2DoF) linear control and a synergetic control for voltage stability of DC microgrids, where loads and generators are interfaced through power electronic converters. The stabilizing control of the bus voltage resides in the converters on the generation side. The stability is challenged by Constant Power Loads (CPLs) that are tightly regulated within their control bandwidth exhibiting incremental negative impedance characteristic. In the scenario of a microgrid the two control approaches are compared in their centralized and decentralized formulation
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.