Economic analysis of energy storage peak shaving projects

What is peak shaving in power system?

In the power system, the load usually shows “peak” and “valley” differences. It refers to the fact that the load is higher during certain times of the day and lower during other times of the day. In order to meet the peak demand, the power system needs to carry out peak-shaving.

Does es capacity enhance peak shaving and frequency regulation capacity?

However, the demand for ES capacity to enhance the peak shaving and frequency regulation capability of power systems with high penetration of RE has not been clarified at present. In this context, this study provides an approach to analyzing the ES demand capacity for peak shaving and frequency regulation.

What is peak shaving?

Peak-shaving refers to the reasonable adjustment of power system according to the change of power load to ensure the reliability and stability of a power supply. In the power system, the load usually shows “peak” and “valley” differences.

Will energy storage become the second largest peak-shaving resource?

By 2030, the scale of energy storage will expand rapidly, becoming the second largest peak-shaving resource in addition to thermal power units, as shown in Table 1. With the abundance of peak-shaving resources and the development of power auxiliary service market, the optimization of peak-shaving cost of power system has become an urgent problem.

Does energy storage affect peak-shaving cost?

On the other hand, references [35, 36] do not consider the impact of energy storage utilizing peak and off-peak electricity price arbitrage on the peak-shaving cost of the power system, thus failing to fully utilize the peak-shaving capabilities of energy storage.

How to improve peak-shaving capacity of Ningxia power system?

Utilizing the deep regulation capability of thermal power units and energy storage for peak-shaving and valley filling is an important means to enhance the peak-shaving capacity of the Ningxia power system. There are existing references on the economic optimization of operation using energy storage and thermal power units.