Energy Internet System Control and Optimization: A Stochastic Risk-Sensitive Control Approach

Abstract

This paper introduces a new control approach for energy Internet (EI) system management. The considered EI system includes multiple AC microgrids (MGs) interconnected via energy routers (ERs). Two control targets are considered to be satisfied. First, due to the stochastic power output change of loads, photovoltaic panels (PVs) and wind turbine generators (WTGs), the resulting AC bus frequency deviation is aimed to be regulated. Second, a constraint for the size of control input is restricted, such that the situation of over-control is avoided. We formulate such EI system management issue into a stochastic risk-sensitive control problem and solve it analytically. It is highlighted that we are focusing on developing engineering applications supported by the existing theoretical results. Indeed, this is the first time that EI system management issue is formulated as a risk-sensitive control problem. We emphasize that the obtained optimal controller is linear with system state, which is easy to be implemented in real-world applications. Simulations show the feasibility and effectiveness of the proposed method.