Optimal dimensioning of grid-connected PV/wind hybrid
In this context, the optimal design of hybrid renewable energy systems (HRES) that combine solar, wind, and energy storage technologies is critical for achieving sustainable
In utilizing the wind and solar complementary system, the first part is the power generation system, load system, control system, grid system, and energy storage system are all smoothed out. Hybrid energy storage implemented in this work consists of battery and thermal storage.
This paper proposes a wind-solar hybrid energy storage system (HESS) to ensure a stable supply grid for a longer period. A multi-objective genetic algorithm (MOGA) and state of charge (SOC) region division for the batteries are introduced to solve the objective function and configuration of the system capacity, respectively.
This paper proposes a new operation strategy for wind and solar hybrid energy storage systems. The strategy is optimized by power allocation and a multi-objective genetic algorithm, and the conclusions are drawn following:
Configuration Results Analysis Using the multi-objective optimization genetic algorithm, the hybrid energy storage potential is optimized by the number of lithium batteries, lead-acid batteries, heat storage tanks, storage cost, and the number of electrochemical energy storage cycles as the objective function.
PDF version includes complete article with source references. Suitable for printing and offline reading.
Download detailed product specifications, case studies, and technical data for our off-grid PV containers and mobile energy storage solutions.
15 Innovation Drive
Johannesburg 2196, South Africa
+27 87 702 3126
Monday - Friday: 7:30 AM - 5:30 PM SAST