Liu, T., Chen, J., & Zhang, Y. (2022). Optimal Planning of Mobile Battery Energy Storage in Distribution Network with Soft Open Point. 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). https://doi.org/10.1109/icpsasia55496.2022.9949763
Abstract:
To address the need for high-quality power, the distribution network (DN) is gradually incorporating battery energy storage (BES) and flexible interconnection equipment, such as Soft Open Point (SOP). This paper proposes a mobile battery energy storage (MBES) planning strategy considering multiple scenarios in DN with SOP. Firstly, the fundamental concepts of commonly used equipment like SOP and energy storage are investigated and mathematical models are constructed. Secondly, taking the minimum annual comprehensive investment and network loss cost of DN as the planning goal, a MBES planning model for promoting the economics of the DN under multiple scenarios is established. The nonlinear programming model is transformed into a second order cone model by linearization and convex relaxation, which can achieve an accurate and rapid solution. Finally, the improved IEEE-33 node example is used for simulation, and the MBES and BES planning approaches are compared. Results show that combining MBES with SOP control can not only enhance system efficiency but also reduce voltage fluctuation, demonstrating the effectiveness of the suggested technique.
License type:
Publisher Copyright
Funding Info:
This work was supported by National Key R&D Program of China (2018YFA0702200).