Abstract
Managing combined heat and power system (CHPS) is key for the integrated energy system. Traditionally, DC power flow model is used to model the power flow of distribution system in CHPS. However, DC power flow model cannot describe distribution network accurately due to the ignorance of line loss. The nonlinearity of the heat network constraints make the problem nonconvex, so it's difficult to solve the optimal solution. In this paper, a mixed integer second-order cone programming (MISOCP) method is proposed to try to analyze the CHPS. The second-order cone relaxation method is applied to distribution network to consider the effect of voltage, reactive power and line loss on CHPS and the piecewise linear approximation method is applied to manage the nonlinear heat network constraints. Finally, a 65 nodes CHPS test case is used to validate the method.
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