Extremum Power Seeking Control of A Hybrid Wind-Solar-Storage DC Power System

TL;DR

This paper introduces a supervisory control strategy for a hybrid wind-solar-storage DC system that maximizes renewable energy harvesting, balances energy, and ensures efficient power flow with validated simulation results.

Contribution

It proposes a novel supervisory control approach integrating MPPT and SMC for hybrid renewable sources in a DC system, enhancing energy efficiency and system stability.

Findings

Supervisory controller effectively manages energy flow and source balancing.

MPPT and SMC algorithms accurately track maximum power points.

Simulation confirms reliable operation under various contingencies.

Abstract

This paper presents a combined power system with a common dc bus that contains solar power, wind power, battery storage, and a constant dc load (CDL). In wind system, an AC-DC uncontrolled rectifier is used at the first stage and the DC-DC converter is controlled by a maximum power point tracker (MPPT) at second stage. In the solar system, two cascaded boost converters are controlled through a sliding mode controller (SMC) to regulate the power flow to the load. A supervisory control strategy is also introduced to maximize the simultaneous energy harvesting from both renewable sources and balance the energy between the sources, battery, and the load. According to the level of power generation available at each renewable energy source, the state of charge in the battery, and the load requirement, the controller results in four contingencies. Simulation results show the accurate operation of the supervisory controller and functionality of the maximum power point tracking algorithm for solar and for wind power.