Smart Control Systems for Wind, Solar, and Energy Storage Microgrids
This article explores how intelligent control systems optimize hybrid microgrids, reduce costs, and ensure reliable power supply—perfect for industries, communities, and businesses
The microgrid control system also generates historical data that can be used for cost impact estimation and load and generation forecasting. This allows you to implement energy storage and peak-shaving strategies to reduce energy cost and use renewable sources when they're most advantageous.
The microgrid consists of a behind-the-meter (BTM) solar photovoltaic (PV) system, a battery energy storage system (BESS), a combined heat and power (CHP) generator, and standby diesel generators. We modeled this microgrid by leveraging the ETAP software and performed power system studies for both grid-connected and islanded modes of operation.
Finally, Borhanazad et al. used the multi-objective Particle Swarm Optimization (MOPSO) algorithm to create a microgrid network plan that uses wind and solar power as the main energy sources, a battery bank to store any excess energy produced, and a diesel generator for emergency situations.
An energy management strategy (EMS) was proposed to control energy flow through the Microgrid system, and an analysis was performed on real data of solar radiation, wind speed, and temperature collected from the Biskra region in southern Algeria.
PDF version includes complete article with source references.
Get technical specifications, application guides, and ROI analysis tools for containerized power stations, portable photovoltaic containers, and microgrid energy storage solutions.
18 Industrial Park Road, Midrand
Johannesburg, South Africa 1685
Sales & General: +27 11 568 3400
Technical Support: +27 82 459 7781
Monday - Friday: 8:00 AM - 6:00 PM SAST
Saturday: 8:00 AM - 2:00 PM SAST