Decision Vector-Based Energy Management of ESS and RDG in a Distribution System to Increase Energy Resilience

Effective energy management of the energy storage system (ESS) in conjunction with renewable distributed generation (RDG) units can enhance the resilience of the energy system. In this paper, a new approach utilising decision vectors is introduced for the energy management of devices. The aim of this work is to maximise the profitability of the distribution system by optimal operation of the ESS. In the suggested approach, the initial step involves the introduction of distinct decision vectors for the charging and discharging of ESS, which are determined by the market price, local RDG and demand conditions. Subsequently, the analytical hierarchy process is employed to establish the relative priorities of the decision criteria and to compute the final decision vectors. Finally, the operational schedule for the ESS is determined considering final decision vectors and the operational constraints. The numerical results present the high performance of the proposed method in improving the profitability of the system in different scenarios by optimally managing ESS.