In this paper, a cloud energy storage(CES) model is proposed, which firstly establishes a wind- PV -load time series model based LHS and K-medoids to complete the scenario generation and reduction. MOPSO algorithm is used to achieve the centralized energy storage configuration with voltage, load volatility, and the total cost of social energy.
What is a user-side energy storage optimization configuration model?
Subsequently, a user-side energy storage optimization configuration model is developed, integrating demand perception and uncertainties across multi-time scale, to ensure the provision of reliable energy storage configuration services for different users. The primary contributions of this paper can be succinctly summarized as follows. 1.
How does energy storage configuration optimization work?
First, we build an energy storage configuration optimization model based on the user's one-year historical load data to optimize the rated power and capacity of the energy storage, and then calculate the costs and benefits of energy storage, and make a judgment on whether the user is suitable for additional energy storage.
What is a lifecycle user-side energy storage configuration model?
A comprehensive lifecycle user-side energy storage configuration model is established, taking into account diverse profit-making strategies, including peak shaving, valley filling arbitrage, DR, and demand management. This model accurately reflects the actual revenue of energy storage systems across different seasons.
How is energy storage configured?
The energy storage is configured based on the load data for a total of one year from 1 December 2019 to 30 November 2020. Based on the load characteristics of the example in this paper, energy storage only participates in energy scheduling during working days. There are a total of 252 working days in the selected configuration of energy storage.
Does demand perception affect user-side energy storage capacity allocation?
Consequently, a multi-time scale user-side energy storage optimization configuration model that considers demand perception is constructed. This framework enables a comparative analysis of energy storage capacity allocation across different users, assessing its economic impact, and thus promoting the commercialization of user-side energy storage.
What is the current energy storage configuration model?
The current energy storage configuration model does not fully consider the relevant technical parameters and performance characteristics of energy storage. Energy storage is mainly involved in energy scheduling as one of the multiple devices in the integrated energy system.