TY - JOUR
T1 - A novel linearized power flow approach for transmission and distribution networks
AU - Sereeter, B.
AU - Markensteijn, A.S.
AU - Kootte, M.E.
AU - Vuik, C.
PY - 2021
Y1 - 2021
N2 - Power flow computations are important for operation and planning of the electricity grid, but are computationally expensive because of nonlinearities and the size of the system of equations. Linearized methods reduce computational time but often have the disadvantage that they are not applicable to general grids. In this paper we propose a novel linearized power flow (LPF) technique that is able to handle PQ- and PV-buses, and works on both transmission and distribution networks. This technique is based on previous work on handling PQ-buses by connecting them to artificial-additional ground buses. We extend this idea to PV-buses. Test-cases show that the novel LPF method leads to similar accuracy as nonlinear power flow (NPF) methods while significantly reducing computation time. Therefore, the general LPF methods is a good alternative to NPF methods.
AB - Power flow computations are important for operation and planning of the electricity grid, but are computationally expensive because of nonlinearities and the size of the system of equations. Linearized methods reduce computational time but often have the disadvantage that they are not applicable to general grids. In this paper we propose a novel linearized power flow (LPF) technique that is able to handle PQ- and PV-buses, and works on both transmission and distribution networks. This technique is based on previous work on handling PQ-buses by connecting them to artificial-additional ground buses. We extend this idea to PV-buses. Test-cases show that the novel LPF method leads to similar accuracy as nonlinear power flow (NPF) methods while significantly reducing computation time. Therefore, the general LPF methods is a good alternative to NPF methods.
KW - Constant impedance model
KW - Distribution networks
KW - Linear power flow
KW - Nonlinear power flow
KW - PV-buses
UR - http://www.scopus.com/inward/record.url?scp=85104067322&partnerID=8YFLogxK
U2 - 10.1016/j.cam.2021.113572
DO - 10.1016/j.cam.2021.113572
M3 - Article
SN - 0377-0427
VL - 394
JO - Journal of Computational and Applied Mathematics
JF - Journal of Computational and Applied Mathematics
M1 - 113572
ER -