Abstract
The optimal configuration of energy storage capacity is an important issue for large scale solar systems. a strategy for optimal allocation of energy storage is proposed in this paper. First various scenarios and their value of energy storage in PV applications are discussed. Then a double-layer decision architecture is proposed in this article. Net present value, investment payback period, internal rate of return are taken as the outer objective function, energy storage capacity is the optimal variables. The investment cost of energy storage system is taken as the inner objective function, the charge and discharge strategy of the energy storage system and augmentation are the optimal variables. Finally, the effectiveness and feasibility of the proposed model and method are verified through case simulations. The results show that the comprehensive evaluation index can be aimed at the concerns of energy storage investors, comprehensively evaluate the feasibility of the energy storage project, and obtain the corresponding energy storage scale when the comprehensive evaluation index is the highest.
Highlights
Solar energy resources are abundant and widely distributed throughout the world, and Photovoltaic (PV) power generation technology is the most promising technology of renewable energy power generation technology
Asia is expected to drive the trend of solar photovoltaic power generation and become a world leader in solar photovoltaic energy
The investment cost of energy storage system is taken as the inner objective function, the charge and discharge strategy of the energy storage system and augmentation are the optimal variables
Summary
Solar energy resources are abundant and widely distributed throughout the world, and Photovoltaic (PV) power generation technology is the most promising technology of renewable energy power generation technology. Increasing investment in solar photovoltaic energy is critical to accelerating the development of future energy. Large scale PV power plant plus storage has become an important configuration for the development of global energy. Cai: Energy Storage Sizing Optimization for Large-Scale PV Power Plant with the decline in battery prices and the sharp decline in the price of PV BOS equipment, solar plus storage applications have become more widespread [6]. The literature [8] emphasized the configuration and structure of energy storage in PV power plants, and compared the efficiency, but did not study in-depth how to optimize the capacity. Reference [17] has established a multi-objective optimal configuration model from the technical perspectives of peakshaving and valley-filling capacity, voltage quality and power regulation capacity of energy storage applications.
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