Decentralized Daily Scheduling of Smart Distribution Networks with Multiple Microgrids

Abstract

Number of microgrids (MGs) are increasing in distribution systems. They behave more active than previous due to increasing of distributed generations (DG) and active loads. Therefore, it is necessary to consider them in distribution network daily scheduling. Central scheduling of distribution networks does not meet the privacy of MGs customers and it is vulnerable against cyber-attacks. Therefore, it is necessary to develop a decentralized daily scheduling model for distribution-connected resources to preserve the privacy of MGs. Moreover, the scheduling model must coordinate distribution-connected resources with transmission-connected resources. In this paper, a decentralized model for the daily scheduling of smart distribution networks resources is presented to preserve the privacy of MGs. Analytical Target Cascading (ATC) algorithm is used for optimization decomposition. The model considers controllable and non-controllable loads, distributed generations (DG), Renewable Energy Sources (RES) and Energy Storage Systems (ESS). In order to coordinate transmission and distribution connected resources, electricity price at each hour, at the transmission bus, which the distribution network is connected to, is modeled by a price conjecture curve. Base distribution network operator and Microgrids Operators (MGO) jointly compute an optimal schedule for the entire distribution network. The proposed method is applied to a 39-bus test distribution network and simulation results are discussed.