An IoT-Enabled Stochastic Operation Management Framework for Smart Grids

【Author】 Wang, Bo; Ma, Hengrui; Wang, Fei; Dampage, Udaya; Al-Dhaifallah, Mujahed; Ali, Ziad M.; Mohamed, Mohamed A.

【Source】IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

【影响因子】9.551

【Abstract】The idea of Internet of Things (IoT) has revolutionized the smart grids by providing the opportunity for remote control and monitoring of the distributed generations (DGs), switches, renewable sources and electrical loads. This study investigates the smart grid concept along with IoT in the automation and optimal energy management of these grids incorporating the high uncertainties of the renewable energy sources and plug-in hybrid electric vehicles (PHEVs) charging demand. A private blockchain technology is developed to make secure data transactions. A novel stochastic structure according to the scenario generation is developed to capture the power randomness of these sources. It is tried to assess the switching effect on the energy management based on remote control in the IoT bed. Moreover, a new optimizer using the social spider algorithm (SSA) is proposed which helps in scheduling the smart grid in an economic way. In addition, a modified method is developed which can suitably enhance the SSA convergence and thus get into more optimal switching and scheduling programs. The proposed model is investigated using an IEEE test system.

【Keywords】Smart grids; Costs; Switches; Renewable energy sources; Stochastic processes; Internet of Things; Automation; Internet of Thing (IoT); energy management; smart grids; renewable energy sources; PHEVs

【发表时间】

【收录时间】2022-07-25

【文献类型】理论性文章

【主题类别】

区块链应用-实体经济-能源领域