Paper
16 June 2023 Investment benefit analysis of energy storage systems based on economic operation model
Ye Liao, Ying Li, Junyu Cai, Shaowei Liang
Author Affiliations +
Proceedings Volume 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023); 127030D (2023) https://doi.org/10.1117/12.2683156
Event: Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 2023, Hong Kong, China
Abstract
The economic profit of investment in energy storage systems are investigated with a regional-type grid as the research object. Firstly, the economic operation model of power supply and Energy Storage System (ESS) within the local grid is established, and the optimization model is solved by using hybrid particle swarm algorithm based on heuristic adjustment strategy. In order to reasonably assess the feasibility of the investment scheme, the equivalent net benefit method is designed to discount the economic benefits and investment costs of the ESS to a dispatch cycle based on the discount rate of life of the ESS and cost-benefit analysis. The algorithm gives the equilibrium return mean value point of ESS investment and performs a sensitivity analysis for the impact of investment unit price and price of electricity purchasing on the investment in ESS.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ye Liao, Ying Li, Junyu Cai, and Shaowei Liang "Investment benefit analysis of energy storage systems based on economic operation model", Proc. SPIE 12703, Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023), 127030D (16 June 2023); https://doi.org/10.1117/12.2683156
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Power grids

Particles

Photovoltaics

Systems modeling

Analytical research

Radon

Solar energy

Back to Top