A Global Optimal Benchmark for Energy Management of Microgrid (GoBuG) Integrating Hybrid Energy Storage System

Abstract

This paper proposes a general benchmark for evaluating online/real-time energy management strategies (EMS) for microgrids (uG) supported by hybrid energy storage systems (HESS). A multi-objective optimal control problem with multiple control/state variables, multiple control/state constraints, and multiple boundary conditions is introduced to reduce power losses, prevent the HESS from oscillations, and increase source lifespan, which is handled by using an alternative Pontryagin’s minimum principle and inheriting finite difference methods. On that foundation, the multi-objective Global optimal Benchmark for uG (referred to as GoBuG) is constructed and assessed via several numerical scenarios, including a real case study of a uG located in Bạch Long Vĩ island, Việt Nam. The assessment shows that GoBuG is tens of times faster than conventional methods like dynamic programming when computing EMS in the islanded uG with a single battery ESS. Moreover, for uG consisting of HESSs, while dynamic programming is unable to provide solutions, GoBuG remains superior with high accuracy, reliability, and speedy computation. With its superior performance, the proposed GoBuG is therefore compatible with benchmarking purposes for general uG systems.