Modern power systems are becoming vulnerable to false data injection attacks (FDIAs) due to the high penetration of communication components. This research develops a multi-task framework for power systems against FDIAs, which aims to: 1) study the mechanism for the response model of grids to...

This paper proposes a reliability constrained unit commitment problem with combined hydro and thermal generation embedded (RCHTUC), solved by a SLGSO (self-learning group search optimizer). The RCHTUC problem aims at minimizing the sum of fuel costs and start-up costs of thermal plants subject...

This paper presents a novel approach, named the SVR (support vector regression) based SVRLP (support vector regression local predictor) with FNF-SVRLP (false neighbours filtered-support vector regression local predictor), to predict short-term natural gas demand. This method integrates the SVR...

This paper presents a comprehensive model of a small-scale integrated energy based district heating and cooling (DHC) system located in a residential area of hot-summer and cold-winter zone, which makes joint use of wind energy, solar energy, natural gas and electric energy. The model includes...

This paper proposes a model of an integrated energy based direct district water-heating system, which makes joint use of wind energy, solar energy, natural gas and electric energy. The model includes a stand-alone wind turbine generator, heat producers, a water supply network and heating load....

This paper presents the mean-variance (MV) model to solve the power system economic dispatch with wind power integrated, based on the optimal power flow problem. The MV model considers the profit and risk simultaneously under the environment of uncertain wind power, which is formulated as a...