An efficient load flow solution for distribution system with addition of distributed generation using improved harmony search algorithms

Tyagi, Aditya; Kumar, Keshav; Ansari, M. A.; Kumar, Bhavnesh

doi:10.1186/s43067-020-00014-7

Cited by 11 publications

(4 citation statements)

References 29 publications

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“…The estimation of the state variables in electrical systems corresponds to an essential study in electrical engineering [1], since the variables, i.e., the magnitudes and angles of the voltages in all the nodes of the network, allow us to determine the operative conditions of the grid [2], such as active and reactive power losses, grid efficiency, conductors' chargeability, etc. The determination of these variables is widely-known in the literature as the power flow problem [3]. The mathematical representation and the solution of the power flow problem in power systems are typically developed using the Newton-Raphson method or its derived methods due to its efficiency and robustness regarding the number of iterations and the quadratic convergence rate [4].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Power Flow Methods Applied to AC Distribution Networks with Single-Phase Representation

2021

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This paper presents a comparative analysis of six different iterative power flow methods applied to AC distribution networks, which have been recently reported in the scientific literature. These power flow methods are (i) successive approximations, (ii) matricial backward/forward method, (iii) triangular-based approach, (iv) product linearization method, (v) hyperbolic linearization method, and (vi) diagonal approximation method. The first three methods and the last one are formulated without recurring derivatives, and they can be directly formulated in the complex domain; the fourth and fifth methods are based on the linear approximation of the power balance equations that are also formulated in the complex domain. The numerical comparison involves three main aspects: the convergence rate, processing time, and the number of iterations calculated using the classical Newton–Raphson method as the reference case. Numerical results from two test feeders composed of 34 and 85 nodes demonstrate that the derivative-free methods have linear convergence, and the methods that use derivatives in their formulation have quadratic convergence.

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Section: Introductionmentioning

confidence: 99%

A Comparative Study on Power Flow Methods Applied to AC Distribution Networks with Single-Phase Representation

2021

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“…operating the module at its full output, MPPT improves the PV performance [42][43][44][45][46][47]. Conventional MPPT techniques, such as perturb and observe (P&O) and incremental conductance (InC), have been shown to introduce oscillations in the MPP region and struggle to track fast temperature and irradiance variations [48].…”

Section: Diferent Maximum Power Tracking Controllers Bymentioning

confidence: 99%

Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter

Singh

Ansari

Tripathy

et al. 2023

International Transactions on Electrical Energy Systems

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Power management in advanced grid systems requires the seamless integration of diverse renewable energy sources. This study investigates the optimization of a grid-connected system comprising a photovoltaic (PV) solar panel, energy storage system, fuel cell (FC), and diesel generator (DG) using the bioinspired metaheuristic technique called jellyfish optimization (JF). The objective is to maximize power generation from the PV system under normal and partial shading conditions. The performance of JF is compared against particle swarm optimization (PSO) using various parameters. As India heavily relies on solar PV, the results highlight JF’s exceptional effectiveness in extracting maximum power during partial shading scenarios. Inspired by the active and passive motions of jellyfish in the ocean, the JF algorithm is utilized. To further optimize the power output, the system is integrated with an efficient battery management system, PEM fuel cell stacking, and diesel generators. The system’s performance is analyzed using fast Fourier transform (FFT) to evaluate harmonic distortions, which consistently meet the limits specified in IEEE STD 1547-2018. Furthermore, unscented Kalman filter-based analysis is employed to assess total harmonic distortion (THD) and power rating for the grid system across various renewable energy scenarios. The contribution of the jellyfish optimization (JF) algorithm lies in its ability to efficiently and effectively maximize power generation from the PV system, regardless of normal or partial shading conditions. JF, a bioinspired metaheuristic optimization technique, successfully emulates the collective behavior of jellyfish in the ocean to identify optimal solutions. In this study, JF outperforms particle swarm optimization (PSO) in terms of power generation under partial shading conditions. Notably, JF exhibits remarkable capability in exploring the search space and discovering the global optimum, even when the system operates under challenging conditions. Overall, this study demonstrates the tremendous potential of JF in maximizing power generation in grid-connected systems with renewable energy sources while also highlighting the benefits of integrating additional components to further enhance the system performance.

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“…A. Kumar et al [7], discussed the integration of PV mode operated distributed generation (DG) in distribution network and an improved harmony search algorithm for robust and effective power flow. S.S. Reddy et al [8], determine the optimal location and sizing of distributed generation (DG) using PSO, IEEE-37 bus unbalanced distribution network is analyzed with and without integration of DG to enhance the loading capacity of the system and reducing power losses.…”

Section: Dg Integrationmentioning

confidence: 99%

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

Kumar

Bhadoriya

et al. 2023

Preprint

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This article presents a load flow analysis strategy for an operational active distribution feeder network. ETAP is used for load flow calculation while MATLAB is utilized for optimized operation of feeder components. Integration of wind and photovoltaic (PV) distribution generator is considered along with static compensator capacitor banks. The optimal operation of the feeder network is achieved by analyzing the feeder parameters such as total power loss, nodal voltage drop, and reactive power requirement. Static capacitor banks operation is optimized using feeder parameters. Under-load and over-load scenarios are executed and tested to achieve real-life operational scenario of diverse loading. Standard IEEE-33 bus feeder network is used for this study. A wide range of scenarios are performed in the case study and results are presented in both graphical and numerical format.

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An efficient load flow solution for distribution system with addition of distributed generation using improved harmony search algorithms

Cited by 11 publications

References 29 publications

A Comparative Study on Power Flow Methods Applied to AC Distribution Networks with Single-Phase Representation

A Comparative Study on Power Flow Methods Applied to AC Distribution Networks with Single-Phase Representation

Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter

Optimized Load Flow Solution of An Active Distribution Feeder Under Diverse Loading

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