Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid. (September 2016)

• Record Type: Journal Article
• Authors: Yang, Lian; Tai, Nengling; Fan, Chunju; Meng, Yuanye
• Is Part Of: Renewable energy. Volume 95(2016)
• Page Start: 202
• Page End: 212
• Publication Date: 2016-09
• Subjects: Microgrid energy management -- Fluctuation stabilize -- Battery energy storage system -- Air source heat pump -- Double fuzzy logic; Renewable energy sources -- Periodicals; Power resources -- Periodicals; Énergies renouvelables -- Périodiques; Ressources énergétiques -- Périodiques; 333.794
• DOI: 10.1016/j.renene.2016.04.019
• Languages: English
• ISSNs: 0960-1481

Abstract

Abstract: The energy consumption statistics of buildings have shown that in China, 50%–70% of the annual energy consumption is consumed by cooling and heating systems, the majorities are air conditions and hot water supply. To cut down the investment of BESS, this paper studies the application of Air Source Heat Pump (ASHP) in a photovoltaic/Battery Energy Storage System (PV/BESS) microgrid. Energy dispatching strategy is proposed to take advantage of the thermal storage, and fluctuation stabilization strategy is proposed based on the decouple characteristics between Heat Pumps (HPs) and terminal devices. As the characteristics of fluctuation and the inputted capacity of ASHP should be considered during the stabilization, there are too many input variables for traditional fuzzy logic algorithm. According to this, this paper proposes an improved fuzzy logic algorithm, Double Fuzzy Logic (DFL) algorithm, to involve in all the necessary variables. At last, a case is simulated to verify the feasibility of the energy dispatching and fluctuation stabilization strategy. The results have verified that ASHP can decrease the capacities of PV/BESS and stabilize the fluctuation effectively. Highlights: Application of Air Source Heat Pump in a PV/BESS microgrid. Fluctuation stabilization strategy is proposed. Reduce the capacity of BESS and cost of microgrid. Improved Double Fuzzy Logic algorithm is proposed.