Yuntao Ju, Jiankai Wang, Zifeng Zhang. An Improved Power Flow Method to Cope with Non-smooth Constraints of Integrated Energy Systems[J]. CSEE Journal of Power and Energy Systems, 2022, 8(6): 1784-1793.
DOI:
Yuntao Ju, Jiankai Wang, Zifeng Zhang. An Improved Power Flow Method to Cope with Non-smooth Constraints of Integrated Energy Systems[J]. CSEE Journal of Power and Energy Systems, 2022, 8(6): 1784-1793.DOI: 10.17775/CSEEJPES.2019.02950.
An Improved Power Flow Method to Cope with Non-smooth Constraints of Integrated Energy Systems
Integrated energy system applications can significantly improve energy efficiency. In this paper
we establish an integrated energy system containing heat
electricity and gas. The existing power flow (PF) calculation method applied to integrated energy systems (IESs) does not consider non-smooth constraints
such as the piecewise pipeline friction coefficient and generator buses reactive power limits
etc. Mixed integer nonlinear programming (MINLP) is conventionally used to deal with piecewise pipeline friction coefficients in gas network parts
but it is both complex and inefficient. Hence
we develop a piecewise linear function-based fitting method that can reduce the number of integer variables and enhanced the computational efficiency. In the electric network part
if the reactive power of the PV bus violates limits
it will be converted into a PQ bus
which is a non-differentiable and non-smooth constraint. Mixed complementarity problems are conventionally introduced to represent the PV-PQ buses type switching relationship and are addressed by the Newton-Raphson (NR) method. However
the above method is sensitive to the initial point. Here
we introduce a robust projected Levenberg-Marquardt (PLM) algorithm to cope with this issue. We demonstrate the advantages of our method and validate it both in a small-scale system and large-scale network test cases.