A New Power Flow Model With a Single Nonconvex Quadratic Constraint: The LMI Approach
2022 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, E-ISSN 1558-0679, Vol. 37, no 2, p. 1218-1229Article in journal (Refereed) Published
Abstract [en]
In this paper, we propose a new mathematical model for power flow problem based on the linear and nonlinear matrix inequality theory. We start with rectangular model of power flow (PF) problem and then reformulate it as a Bilinear Matrix Inequality (BMI) model. A Theorem is proved which is able to convert this BMI model to a Linear Matrix Inequality (LMI) model along with One Nonconvex Quadratic Constraint (ONQC). Our proposed LMI-ONQC model for PF problem has only one single nonconvex quadratic constraint irrespective of the network size, while in the rectangular and BMI models the number of nonconvex constraints grows as the network size grows. This interesting property leads to reduced complexity level in our LMI-ONQC model which in turn makes it easier to solve for finding a PF solution. The non-conservativeness, iterative LMI solvability, well-defined and easy-to-understand geometry and pathwise connectivity of feasibility region are other important properties of proposed LMI-ONQC model which are discussed in this paper. An illustrative two-bus example is carefully studied to show different properties of our LMI-ONQC model. We have also tested our LMI-ONQC model on 30 different power-system cases including four ill-conditioned systems and compared it with a group of existing approaches. The numerical results show the promising performance of our LMI-ONQC model and its solution algorithm to find a PF solution.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2022. Vol. 37, no 2, p. 1218-1229
Keywords [en]
Mathematical model, Linear matrix inequalities, Numerical models, Transmission line matrix methods, Computational modeling, Reactive power, Matrix converters, AC power flow, Bilinear Matrix Inequalities (BMI), convex optimization, ill-conditioned networks, Linear Matrix Inequality (LMI), quadratic constraint
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-310543DOI: 10.1109/TPWRS.2021.3104928ISI: 000766686300037Scopus ID: 2-s2.0-85113251401OAI: oai:DiVA.org:kth-310543DiVA, id: diva2:1649542
Note
QC 20220404
2022-04-042022-04-042022-06-25Bibliographically approved