The modern world of digital communication hinges on the reliability and security of its underlying protocols. Among these, the Open Charge Point Protocol (OCPP) stands out as a cornerstone for electric vehicle charging stations. However, ensuring its robustness requires systematic testing against potential vulnerabilities. Enter OCPPStorm, a sophisticated fuzzer tailored for the OCPP protocol. This research presents a comprehensive dive into OCPPStorm and its triad of fuzzing techniques. First, the Random Fuzzer serves as a foundational mechanism, autonomously selecting OCPP message types, fuzzing, and subsequently dispatching them to a central system for response analysis. The State Machine Fuzzer takes a more structured approach, permitting users to input correct sequences of OCPP messages that emulate a "state machine".