Matlb| improved forward push back method for solving power flow of low voltage distribution network

Catalog

1. Abstract

2. Comparison between the traditional forward and backward substitution method and the modified forward and backward substitution method

3.MATLB Code implementation

 4. Simulation results

 

1. Abstract

Residential roof photovoltaic (PV) The share of solar energy in the energy structure of the system is increasing , And electric cars (EV) Finally, the electrification of the transportation sector will be realized , These are some of the main reasons behind the unprecedented technological growth experienced in the past few years . In the past few years, in the low-voltage distribution network (LVDG) . These advances give power distribution systems (DSO) It brings new challenges to the safe and reliable operation of its network . therefore , Have accurate and reliable tools for research 、 It is important to identify potential problems and proactively mitigate them before costly failures or equipment failures occur . The most commonly used tool for such studies is power flow analysis , For a given set of input parameters , It can provide the amplitude and angle of all voltages and currents in the power system . Conventional Gauss-Seidel and Newton-Raphson The power flow method focuses on balancing operation , It is allowed to analyze only positive order . contrary , Distribution system , In especial LVDG, Operating conditions with high unbalance . therefore , Negative sequence component and even zero sequence component cannot be ignored , Therefore, it must be solved by using multiphase analysis . At present, the main methods to solve the power flow problem of distribution network either focus on the current injection based Newton-Raphson Formula or forward and backward substitution .

Forward push back method is radial low-voltage distribution network (LVDG) The most commonly used power flow calculation method in . in the majority of cases ,Kron Reduction method is used to merge neutral line and phase line . however , adopt Kron If the reduction method ignores the influence of neutral wire, important information may be lost , Because in the low-voltage distribution network , Most loads are single-phase connected , And supply power through phase line and neutral line . In this paper , Modify the forward and backward substitution method , To consider the neutral voltage . The test results show that , Understand before conducting a tidal current study LVDG The exact configuration of the neutral conductor is very important , Because it will greatly affect the accuracy of the results .

2. Comparison between the traditional forward and backward substitution method and the modified forward and backward substitution method

Due to the unbalanced characteristics of low-voltage distribution network and the main single-phase load （ Asymmetric load conditions ）, A large part of the total load current flows through the neutral conductor . Especially in the neutral conductor only at MV-LV In the system of substation grounding , This will cause a significant voltage drop at both ends . By using Kron Simplify to simplify the problem and combine the neutral conductor with the phase conductor , Not only will it produce incorrect results , And you lose important information , Because most of the loads in such systems are connected between the phase conductor and the neutral conductor . This paper starts from [1 Draw inspiration from and expand on , Make it applicable only in MV-LV Substation neutral grounding LVDG in . Besides , Also for the use of Kron Reduced traditional forward and backward substitution method ()、 Described in the FBS () And the method of this paper () Made a comparison . The results show that the accuracy and robustness are significantly improved , This shows that in LVDG The importance of knowing the exact configuration of the neutral conductor before conducting power flow studies in .

3.MATLB Code implementation

This article only shows part of the code , All code points ： We are shipping your work details

 4. Simulation results