Prospect Theory-Based optimal configuration of modular mobile battery energy storage in distribution network considering disaster scenarios.

• Decision makers' subjective perceptions are considered in the configuration. • MMBES can earn extra benefit in disaster scenarios. • Credit capacity of MMBES is used to calculate the years of delaying expansion. • Case study verifies the feasibility of the MMBES optimal configuration method. The comprehensive utilization of energy storage and the resilience of power grid in disaster scenarios are critical research objects in distribution network. However, the traditional literatures were mainly focused on the fixed energy storage devices. Meanwhile, conventional energy storage planning did not consider its utility in disaster scenarios. In this paper, a prospect theory-based optimal configuration of modular mobile battery energy storage (MMBES) is proposed to tackle the shortcomings. To better leverage the capabilities of MMBES, operation and coordination under normal, fault and disaster scenarios are studied, and five attributes of the energy storage configuration are extracted by analyzing various beneficial types. Then, a prospect theory-based optimal configuration model is established to maximize the comprehensive prospect value with the consideration of uncertain disaster scenarios. Sub-models of network loss reduction, reliability improvement, delay of network expansion, outage cost in disaster scenarios, and installation cost are well integrated. Finally, the established non-linear optimization model is solved by utilizing the differential evolution approach. Case studies demonstrate that the flexible application of MMBES can significantly improve the comprehensive benefits and that the optimal configuration can reflect the preference of decision makers. [ABSTRACT FROM AUTHOR]