Harmonic Power Flow Studies Part I - Formulation and Solution

Dao-zhi, Xia; Heydt, G.T.

doi:10.1109/tpas.1982.317171

Cited by 252 publications

(31 citation statements)

References 3 publications

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“…The formulations of References [18][19][20][21] were used to model a distribution system at the basic and harmonic frequencies. The system was solved using the forward backward sweep power flow method.…”

Section: System Modeling At Harmonic Frequenciesmentioning

confidence: 99%

“…The elements of vectors and sub-matrices were defined in References [18][19][20][21]. In the harmonic power flow, the capacitors were considered as fixed capacitor banks and the capacitor placement was performed for the MC buses.…”

Section: System Modeling At Harmonic Frequenciesmentioning

confidence: 99%

“…Appl. 2020, 25, x FOR PEER REVIEW 6 of Flowchart of Newton-Raphson harmonic power flow algorithm[18,19].…”

mentioning

confidence: 99%

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A Novel Method of Optimal Capacitor Placement in the Presence of Harmonics for Power Distribution Network Using NSGA-II Multi-Objective Genetic Optimization Algorithm

Moghadam

Falaghi

Farhadi

2020

MCA

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One of the effective ways of reducing power system losses is local compensation of part of the reactive power consumption by deploying shunt capacitor banks. Since the capacitor’s impedance is frequency-dependent and it is possible to generate resonances at harmonic frequencies, it is important to provide an efficient method for the placement of capacitor banks in the presence of nonlinear loads which are the main cause of harmonic generation. This paper proposes a solution for a multi-objective optimization problem to address the optimal placement of capacitor banks in the presence of nonlinear loads, and it establishes a reasonable reconciliation between costs, along with improvement of harmonic distortion and a voltage index. In this paper, while using the harmonic power flow method to calculate the electrical quantities of the grid in terms of harmonic effects, the non-dominated sorting genetic (NSGA)-II multi-objective genetic optimization algorithm was used to obtain a set of solutions named the Pareto front for the problem. To evaluate the effectiveness of the proposed method, the problem was tested for an IEEE 18-bus system. The results were compared with the methods used in eight other studies. The simulation results show the considerable efficiency and superiority of the proposed flexible method over other methods.

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Section: System Modeling At Harmonic Frequenciesmentioning

confidence: 99%

Section: System Modeling At Harmonic Frequenciesmentioning

confidence: 99%

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A Novel Method of Optimal Capacitor Placement in the Presence of Harmonics for Power Distribution Network Using NSGA-II Multi-Objective Genetic Optimization Algorithm

Moghadam

Falaghi

Farhadi

2020

MCA

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“…37,38 The second category is steady-state analysis, which is based on load flow programs and the use of frequency-based component models. 39 Steady-state based algorithms are more efficient compared to transient state based algorithms due to their large-scale power system application and less computational time. 33,40 This study aims to determine optimal placement and sizing and of DGs in a distribution system.…”

Section: Matpower Newton-raphson Loadflow and Harmonic Loadflowmentioning

confidence: 99%

An improved gravitational search algorithm for optimal placement and sizing of renewable distributed generation units in a distribution system for power quality enhancement

Kadir

Mohamed²,

Shareef

et al. 2014

Journal of Renewable and Sustainable Energy

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Distributed generation (DG) is an important element to be considered in distribution planning since it plays a major role in stability and power quality improvement. This paper presents a new method for determining optimal sizing and placement of DG in a distribution system. A multi-objective function is formed to minimize the total losses, average total voltage harmonic distortion, and voltage deviation in the distribution system. The improved gravitational search algorithm (IGSA) is proposed as an optimization techniques and its performance is compared with other optimization techniques such as particle swarm optimization (PSO) and GSA. The load flow algorithm from MATPOWER and harmonic load flow was integrated in MATLAB environment to solve the proposed multi-objective function. Finally, the proposed algorithm is tested on the radial 69-bus distribution system with three case studies. The results show that the IGSA performs better than PSO and GSA by giving the best fitness value and the fastest average elapsed time. V C 2014 AIP Publishing LLC. [http://dx.

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“…The HARMFLO and HARMFLO+ computer programs are well-known products that use the combinations of time-and frequency-domain solutions. More details about this model can be found in [15][16][17].…”

Section: Time-or Frequency-domain Device Model Used With Frequency-domentioning

confidence: 99%

Power Electronic Converters

Hase¹

2012

Handbook of Power Systems Engineering With Power Electronics Applications

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Harmonic Power Flow Studies Part I - Formulation and Solution

Cited by 252 publications

References 3 publications

A Novel Method of Optimal Capacitor Placement in the Presence of Harmonics for Power Distribution Network Using NSGA-II Multi-Objective Genetic Optimization Algorithm

A Novel Method of Optimal Capacitor Placement in the Presence of Harmonics for Power Distribution Network Using NSGA-II Multi-Objective Genetic Optimization Algorithm

An improved gravitational search algorithm for optimal placement and sizing of renewable distributed generation units in a distribution system for power quality enhancement

Power Electronic Converters

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