Generic power flow algorithm for bipolar DC microgrids based on Newton–Raphson method

Lee, Jin-Oh; Kim, Yun-Su; Jeon, Jin-Hong

doi:10.1016/j.ijepes.2022.108357

Cited by 15 publications

(19 citation statements)

References 42 publications

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“…Furthermore, the proliferation of power converters, advancements in smallscale renewable energy resources, and energy storage devices have propelled the development of MVDC distribution technologies, making them a viable choice for providing electrical services to a wide range of customers. Unlike traditional alternating current (AC) distribution networks that require power inverters, MVDC networks enable direct connection to devices operating on DC power [3]. The primary advantage of employing DC technology, as opposed to AC, for supplying electrical power systems at low and medium voltage levels is the absence of reactive power and frequency requirements [4].…”

Section: General Contextmentioning

confidence: 99%

Enhancing PV distributed generator planning in medium‐voltage DC distribution networks: A multi‐design techno‐economic analysis with load demand response

Zellagui,

Belbachir,

Lasmari

et al. 2023

IET Generation Trans & Dist

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Distributed generators have grown in significance for the technical and financial operation of electric power systems in recent years. The integration of these generators into the electrical distribution network (EDN) has experienced rapid growth, primarily driven by advancements in renewable energy sources (RESs), particularly photovoltaic distributed generators (PVDGs). With the increasing implementation of solar energy as a RES, designing the optimal integration of PVDGs into medium voltage direct current (MVDC) networks is crucial to comprehensively analyzing technical and economic factors. To address this issue, a new multiple objective function (MOF) is proposed, which combines various techno‐economic parameters such as total active power loss (APL), voltage deviation (VD), and the investment cost of PVDGs (ICPVDG) installed in the test system. The objective is to minimize the MOF simultaneously to achieve the optimal incorporation of PVDGs. This study aims to solve the allocation problems related to the location and size of PVDG units in the modified MVDC test systems IEEE 27 and 33‐bus. Simulation results demonstrate the superior accuracy and effectiveness of the equilibrium optimization algorithm (EOA) in achieving the minimum MOF. The utilization of multiple PVDG units reduces overall active power losses and improves voltage profiles across all buses.

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Section: General Contextmentioning

confidence: 99%

Enhancing PV distributed generator planning in medium‐voltage DC distribution networks: A multi‐design techno‐economic analysis with load demand response

Zellagui,

Belbachir,

Lasmari

et al. 2023

IET Generation Trans & Dist

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“…Bipolar DC networks are emerging technologies that aid in providing electricity in medium- and low-voltage networks by using three wires associated with the positive ( p ), neutral ( o ), and negative ( n ) poles [ 1 ]. These networks can be considered to be the DC equivalent of the conventional three-phase AC distribution networks given that multiple constant power loads can be connected between their poles.…”

Section: Introductionmentioning

confidence: 99%

“…The authors of [ 1 ] described a generic power flow algorithm for bipolar DC grids that employs the Newton–Raphson method. This method classifies the grid nodes into six types based on their grounding scheme and voltage control mode.…”

Section: Introductionmentioning

confidence: 99%

Solving the Power Flow Problem in Bipolar DC Asymmetric Distribution Networks Using Broyden’s Method

Montoya

Medina-Quesada

Gil-González

2023

Sensors

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This research addresses the power flow analysis in bipolar asymmetric direct current (DC) networks by applying Broyden’s numerical method. This general successive approximations method allows for a simple Newton-based recursive formula to reach the roots of multiple nonlinear equations. The main advantage of Broyden’s approach is its simple but efficient structure which can be applied to real complex nonlinear equations.The power flow problem in bipolar DC networks is still challenging, as multiple operating options must be considered, e.g., the possibility of having a solidly grounded or floating neutral wire. The main goal of this research is to contribute with a generalization of Broyden’s method for the power flow solution in bipolar DC networks, with the main advantage that, under well-defined conditions, this is a numerical method equivalent to the matricial backward/forward power flow, which is equivalent to the successive approximations power flow method. Numerical results in the 21-, 33-, and 85-bus grids while considering two connections for the neutral wire (i.e., solidly grounded at any node or floating) show the effectiveness of Broyden’s method in the power flow solution for bipolar asymmetric DC networks. All numerical simulations were carried out in the MATLAB programming environment.

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“…Electrical distribution networks with DC technology can be built with two topologies, i.e., monopolar and bipolar configurations. Monopolar DC networks correspond to distribution grids with a positive pole and a return wire (neutral) that allow multiple linear and non-linear loads to be interconnected between both conductors, which are supplied with a single voltage magnitude [5]. Bipolar DC grids comprise two poles (positive and negative poles) and a neutral wire that make it possible to connect loads with a monopolar voltage magnitude as well as bipolar loads between the positive and negative poles that experience twice as much voltage in their terminals [2].…”

Section: Introduction 1general Contextmentioning

confidence: 99%

Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

2022

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This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with the inclusion of solar photovoltaic (PV) generators while considering a planning period of 20 years. This problem is formulated through a mixed-integer nonlinear programming (MINLP) model, in which binary variables define the nodes where the PV generators must be located, and continuous variables are related to the power flow solution and the optimal sizes of the PV sources. The implementation of a master–slave optimization approach is proposed in order to address the complexity of the MINLP formulation. In the master stage, the discrete-continuous generalized normal distribution optimizer (DCGNDO) is implemented to define the nodes for the PV sources along with their sizes. The slave stage corresponds to a specialized power flow approach for monopolar DC networks known as the successive approximation power flow method, which helps determine the total energy generation at the substation terminals and its expected operative costs in the planning period. Numerical results in the 33- and 69-bus grids demonstrate the effectiveness of the DCGNDO optimizer compared to the discrete-continuous versions of the Chu and Beasley genetic algorithm and the vortex search algorithm.

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Generic power flow algorithm for bipolar DC microgrids based on Newton–Raphson method

Cited by 15 publications

References 42 publications

Enhancing PV distributed generator planning in medium‐voltage DC distribution networks: A multi‐design techno‐economic analysis with load demand response

Enhancing PV distributed generator planning in medium‐voltage DC distribution networks: A multi‐design techno‐economic analysis with load demand response

Solving the Power Flow Problem in Bipolar DC Asymmetric Distribution Networks Using Broyden’s Method

Solar Photovoltaic Integration in Monopolar DC Networks via the GNDO Algorithm

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