Energy dispatch strategy for a photovoltaic–wind–diesel–battery hybrid power system

• Published in: Solar energy Vol. 108; pp. 412 - 420
• Main Authors: Tazvinga, Henerica, Zhu, Bing, Xia, Xiaohua
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.10.2014; Elsevier; Pergamon Press Inc
• Subjects: Applied sciences; Closed loop systems; Direct energy conversion and energy accumulation; Disturbance; Electrical engineering. Electrical power engineering; Electrical power engineering; Electrochemical conversion: primary and secondary batteries, fuel cells; Energy; Energy consumption; Energy management; Energy. Thermal use of fuels; Engines and turbines; Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc; Exact sciences and technology; Hybrid energy system; Intermittent nature; Mathematical models; Natural energy; Operation. Load control. Reliability; Optimization scheme; Photovoltaic cells; Power networks and lines; Power supply; Predictive control; Wind energy; Intermittent nature; Energy management; Optimization scheme; Disturbance; Hybrid energy system; Dispatching problem; Diesel fuel; Power supply; Hybrid system; Wind energy; Robustness; Photovoltaic generator; Predictive control; Closed loop; Energy flow; Energy distribution; Diesel engine; Secondary cell; Power electronics; Energy source; Summing circuits; Solar energy; Open loop; Energy demand; Hybrid power systems; Hybrid power supply; Comparative study
• ISSN: 0038-092X; 1471-1257
• DOI: 10.1016/j.solener.2014.07.025

•An energy dispatch model of a PV–wind–diesel–battery hybrid system is proposed.•Model predictive control is applied to the hybrid system.•Model maximizes use of renewable energy and minimizes of diesel generator usage.•Effect of seasonal variations in demand, wind and solar resources on fuel cost is shown.•Diesel consumption is higher in winter than in summer. In this paper, an energy dispatch model that satisfies the load demand, taking into account the intermittent nature of the solar and wind energy sources and variations in demand, is presented for a solar photovoltaic–wind–diesel–battery hybrid power supply system. Model predictive control techniques are applied in the management and control of such a power supply system. The emphasis in this work is on the co-ordinated management of energy flow from the battery, wind, photovoltaic and diesel generators when the system is subject to disturbances. The results show that the advantages of the approach become apparent in its capability to attenuate and its robustness against uncertainties and external disturbances. When compared with the open loop model, the closed-loop model is shown to be more superior owing to its ability to predict future system behavior and compute appropriate corrective control actions required to meet variations in demand and radiation. Diesel consumption is generally shown to be more in winter than in summer. This work thus presents a more practical solution to the energy dispatch problem.