Energy Storage Planning Project

Also, the existing widely-used method in energy storage planning, that embeds the system frequency response model into the optimization model to deal with inertia shortage demand, is unfeasible to be directly used in the CES business model due to the data confidentiality problem.

At present, there are many researches related to the optimal planning and operation of energy storage systems under sharing economies such as CES and SES. In, two kinds of decision-making models for the CES participants were established based on perfect forecasting information and imperfect information, respectively.

In, an optimal sizing planning strategy for energy storage was formulated for maintaining the frequency stability under power disturbance, and a scenario tree model was used to describe the uncertainties of wind power forecast in the optimization framework.

Based on this evaluation results, a bi-layer optimal energy storage planning model for the CES operator is established, where the upper-layer model determines the installed capacity of lithium (Li-ion) battery station and the lower-layer model determines the optimal schedules of the CES system.

The optimal energy storage investment plan should be made with full consideration of existing energy storage resources. Therefore, to quantify the capability of DHS-based E -EES, the baseline working point of the CHP unit should be estimated before the optimization.

The applications of energy storage for the power system operator are diverse. At present, energy storage has already been widely used in peak-shaving, frequency regulation, back-up reserve, black startup, etc. These functions are mainly provided by pumped hydro storage in China which is mainly invested by the power system operators themselves.