A hierarchical approach for the energy management of geographically close microgrids connected through a dedicated AC power network is proposed in this paper.The proposed approach consists of a two-layer energy manage...A hierarchical approach for the energy management of geographically close microgrids connected through a dedicated AC power network is proposed in this paper.The proposed approach consists of a two-layer energy management system(EMS)for networked microgrids.In the lower layer,each micro grid solves its own economic dispatch problem through a distributed model predictive control approach that respects capacity limits and ramp-rate constraints of distributed generation.In the upper layer,the energy trading in the network of microgrids decides how to optimally trade the energy based on the marginal cost information from the lower layer in order to improve global optimization objectives,e.g.,social welfare.In order to solve the trading problem,a consensusbased algorithm and a replicator dynamics algorithm are proposed assuming that the marginal cost function of the microgrid is known and linear.It is shown that both algorithms converge to the same solution,which is equivalent to the minimization of operation costs.The consensus-based algorithm is extended in order to tackle more general marginal cost functions and trading network constraints.Moreover,the effect of ramp constraints and network limits is studied.Simulations show the effectiveness of the proposed algorithms for three interconnected microgrids with different characteristics.展开更多
基金This work was supported in part by ISAGEN S.A.E.S.P under the project P15.245422.017Pilot Energy Solution for La Guajira,Colombia+1 种基金by the scholarship Rodolfo Llinás of the CEIBA foundation and the District of Bogotáproject Colciencias DNP 2013000100129"Incremento en las estrategias sustentables en el uso del recurso de energía eléctrica para la población vulnerable de Cundinamarca".
文摘A hierarchical approach for the energy management of geographically close microgrids connected through a dedicated AC power network is proposed in this paper.The proposed approach consists of a two-layer energy management system(EMS)for networked microgrids.In the lower layer,each micro grid solves its own economic dispatch problem through a distributed model predictive control approach that respects capacity limits and ramp-rate constraints of distributed generation.In the upper layer,the energy trading in the network of microgrids decides how to optimally trade the energy based on the marginal cost information from the lower layer in order to improve global optimization objectives,e.g.,social welfare.In order to solve the trading problem,a consensusbased algorithm and a replicator dynamics algorithm are proposed assuming that the marginal cost function of the microgrid is known and linear.It is shown that both algorithms converge to the same solution,which is equivalent to the minimization of operation costs.The consensus-based algorithm is extended in order to tackle more general marginal cost functions and trading network constraints.Moreover,the effect of ramp constraints and network limits is studied.Simulations show the effectiveness of the proposed algorithms for three interconnected microgrids with different characteristics.
