کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4915780 1428087 2017 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Optimal battery storage operation for PV systems with tariff incentives
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
Optimal battery storage operation for PV systems with tariff incentives
چکیده انگلیسی


- PV - Battery system under FiT incentive is modelled to maximise revenue streams.
- Optimisation model is developed to optimise power flows in the PV-Battery system.
- Real residential PV and demand data is used to simulate the optimisation model.
- Sensitivity analysis on the impact of battery capacity on the model is carried out.
- Impact of unit cost on the adoption of battery storage for PV under FiT is studied.

Many efforts are recently being dedicated to developing models that seek to provide insights into the techno-economic benefits of battery storage coupled to photovoltaic (PV) generation system. However, not all models consider the operation of the PV - battery storage system with a feed-in tariff (FiT) incentive, different electricity rates and battery storage unit cost. An electricity customer whose electricity demand is supplied by a grid connected PV generation system benefiting from a FiT incentive is simulated in this paper. The system is simulated with the PV modelled as an existing system and the PV modelled as a new system. For a better understanding of the existing PV system with battery storage operation, an optimisation problem was formulated which resulted in a mixed integer linear programming (MILP) problem. The optimisation model was developed to solve the MILP problem and to analyse the benefits considering different electricity tariffs and battery storage in maximising FiT revenue streams for the existing PV generating system. Real data from a typical residential solar PV owner is used to study the benefit of the battery storage system using half-hourly dataset for a complete year. A sensitivity analysis of the MILP optimisation model was simulated to evaluate the impact of battery storage capacity (kWh) on the objective function. In the second case study, the electricity demand data, solar irradiance, tariff and battery unit cost were used to analyse the effect of battery storage unit cost on the adoption of electricity storage in maximising FiT revenue. In this case, the PV is simulated as a new system using Distributed Energy Resources Customer Adoption Model (DER-CAM) software tool while modifying the optimisation formulation to include the PV onsite generation and export tariff incentive. The results provide insights on the benefit of battery storage for existing and new PV system benefiting from FiT incentives and under time-varying electricity tariffs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 203, 1 October 2017, Pages 422-441
نویسندگان
, , ,