A New Efficient Stochastic Energy Management Technique for Interconnected AC Microgrids

TL;DR

This paper presents a novel stochastic energy management approach for interconnected AC microgrids with high renewable energy penetration, utilizing the Unscented Transform for uncertainty modeling and a linearization technique for AC power flow.

Contribution

It introduces an efficient stochastic framework based on the Unscented Transform and a new linearization method for AC power flow to optimize interconnected microgrid operation.

Findings

Reduces operational costs of interconnected microgrids.

Effectively models uncertainties in market prices, loads, and renewable outputs.

Validates approach on a modified IEEE 69 bus network.

Abstract

Cooperating interconnected microgrids with the Distribution System Operation (DSO) can lead to an improvement in terms of operation and reliability. This paper investigates the optimal operation and scheduling of interconnected microgrids highly penetrated by renewable energy resources (DERs). Moreover, an efficient stochastic framework based on the Unscented Transform (UT) method is proposed to model uncertainties associated with the hourly market price, hourly load demand and DERs output power. Prior to the energy management, a newly developed linearization technique is employed to linearize nodal equations extracted from the AC power flow. The proposed stochastic problem is formulated as a single-objective optimization problem minimizing the interconnected AC MGs cost function. In order to validate the proposed technique, a modified IEEE 69 bus network is studied as the test case.