Capacity Limit of Grid-Connected Wind/Photovoltaic Hybrid Power System Based on Interior Point Algorithm

• Published in: Applied Mechanics and Materials Vol. 448-453; pp. 2461 - 2467
• Main Authors: Bai, Xiao Min, Li, Nan, Zheng, Jing Hong, Zhu, Shou Zhen
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.10.2013
• Subjects: Alternative energy sources; Electricity distribution; Genetic algorithms; Hybrid systems; Linear programming; Mathematical models; Optimization; Power plants; Renewable resources; Simulation; Systems stability; Wind farms; Wind power; Capacity Limit; Penetration; Wind/Photovoltaic Hybrid System; Tracking Center Trajectory Interior Point Algorithm; Optimization
• ISBN: 3037859121; 9783037859124
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.448-453.2461

Wind/Photovoltaic hybrid generating system can alleviate power fluctuations caused by the single source and improve the system power supply reliability. In the stage of planning, the grid-connected scheme and capacity limit calculation problem is needed to solve. Under different schemes, the capacity limit is different. This paper established an optimization model of capacity limit of wind/photovoltaic power station, introduced the tracking center trajectory interior point algorithm to solve capacity limit, and demonstrated the validity of the proposed method by a simulation of IEEE 30-node system considering the reserve capacity, and concluded that capacity limit is larger when Wind/Photovoltaic is parallel in heavy load nodes. This method can provide reference for practical system of calculating capacity limit of wind farm or photovoltaic power station and is feasible.