Operation of distribution networks integrated with hybrid energy storage systems

Abstract

This paper proposes an optimization model to minimize the operating costs of a modern power distribution network integrated with distributed generation (DG), battery energy storage systems (BESS), and hydrogen energy storage systems (HESS). The objective of the proposed model is to minimize the cost of electricity purchased from the transmission grid. The optimization problem is formulated as a mixed-integer second-order cone programming (MISOCP) model, derived from a mixed-integer nonlinear programming (MINLP) formulation via second-order cone representations of the power flow equations. The model is implemented in GAMS using the commercial solver GUROBI and tested on a modified IEEE 33-bus distribution network. The calculation results show the effectiveness of the proposed optimization formulation.