Optimal Allocation and Sizing of DG in Radial Distribution System-A Review

Niveditha, Ponnapureddy; Sujatha, M.

doi:10.14257/ijgdc.2018.11.6.05

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…For the load-shedding-related strategy, [19,20] demonstrated the effects of various undervoltage load shedding settings on the motor load, and the stability improvement was shown via simulation. In [14,[21][22][23][24][25], the optimal arrangement strategies for DGs and the related voltage regulation schemes are presented. The stability characteristics of load dynamics and reactive power compensation were analyzed in [26,27].…”

Section: Introductionmentioning

confidence: 99%

Analytical Methods of Voltage Stability in Renewable Dominated Power Systems: A Review

2022

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The ongoing development of renewable energy and microgrid technologies has gradually transformed the conventional energy infrastructure and upgraded it into a modernized system with more distributed generation and localized energy storage options. Compared with power grids utilizing synchronous generation, inverter-based networks cannot physically provide large amounts of inertia, which means that more advanced and extensive studies regarding stability considerations are required for such systems. Therefore, appropriate analytical methods are needed for the voltage stability analysis of renewable-dominated power systems, which incorporate a large number of inverters and distributed energy sources. This paper provides a comprehensive literature review of voltage stability analyses of power systems with high levels of renewable energy penetration. A series of generalized evaluation schemes and improvement methods relating to the voltage stability of power systems integrated with various distributed energy resources are discussed. The existing voltage stability analysis methods and corresponding simulation verification models for microgrids are also reviewed in a systematic manner. The traditional and improved voltage stability analysis methods are reviewed according to the microgrid operation mode, the types of distributed generators, and the microgrid configurations. Moreover, the voltage stability indices, which play a crucial role in voltage stability assessments, are critically evaluated in terms of the applicable conditions. The associated modeling and simulation techniques are also presented and discussed. This contribution presents guidelines for voltage stability analysis and instability mitigation methods for modern renewable-rich power systems.

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Section: Introductionmentioning

confidence: 99%

Analytical Methods of Voltage Stability in Renewable Dominated Power Systems: A Review

2022

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“…The Photovoltaic Distributed Generation (PVDG) is therefore, the alternative to solve this problem, because of its benefits and advantages [1]. The optimal allocation of PVDG units in Radial Distribution Network (RDN) plays an important role in benefits' maximizing, such as reducing the network losses and enhancing voltage profiles [2]. To achieve these benefits, the optimal allocation of PVDG units should be well done while considering the objective function, constraints, and the best choice of optimization algorithms [3].…”

Section: Introductionmentioning

confidence: 99%

Optimal location and sizing of multiple distributed generators in radial distribution network using metaheuristic optimization algorithms

2022

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The satisfaction of electricity customers and environmental constraints imposed have made the trend towards renewable energies more essential given its advantages such as reducing power losses and enhancing voltage profiles. This study addresses the optimal sizing and setting of Photovoltaic Distributed Generator (PVDG) connected to Radial Distribution Network (RDN) using various novel optimization algorithms. These algorithms are implemented to minimize the Multi-Objective Function (MOF), which devoted to optimize the Total Active Power Loss (TAPL), the Total Voltage Deviation (TVD), and the overcurrent protection relays (OCRs)?s Total Operation Time (TOT). The effectiveness of the proposed algorithms is validated on the test system standard IEEE 33-bus RDN. In this paper is presented a recent meta-heuristic optimization algorithm of the Slime Mould Algorithm (SMA), where the results reveal its effectiveness and robustness among all the applied optimization algorithms, in identifying the optimal allocation (locate and size) of the PVDG units into RDN for mitigating the power losses, enhance the RDN system's voltage profiles and improve the overcurrent protection system. Accordingly, the SMA approach can be a very favorable algorithm to cope with the optimal PVDG allocation problem.

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“…There is a vast amount of literature on different optimization algorithms implemented for allocation of DGs. Several methods have recently been proposed which they are mostly meta-heuristic algorithms including ant lion [7], artificial bee colony [4], crow search algorithm [8], genetic algorithms [9], grey wolf algorithm [10], harmony search algorithm [11] , tabu search [3], whale optimization algorithm [12] and several variants of particle swarm optimization [13][14] [15]. There are also several deterministic algorithms such as analytical [16], efficient analytical method [17], MILP [18] and MINPL [19].…”

Section: Introductionmentioning

confidence: 99%

Simulation of Energy Consumption in Jaw Crusher Using artificial intelligence models

Eyüboglu¹,

Gül²

2022

REPQJ

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Climate change is the one of the most important issues faced globally and reasons of it must be reduced immediately in every area. Installing distributed power generation (DG) is one of the powerful options for reducing carbon emissions in power generation. However, improper allocation of these assets has several drawbacks. Efficient, novel and robust algorithm which is combination of both k-Means clustering and Particle Swarm Optimization is proposed in order to allocate DGs. Proposed algorithm clusters distribution network buses and selects to most proper cluster to allocate DG in this way it reduces possible buses. Furthermore, sizing and generation constraints of DGs are quite important for allocation. Therefore, several cases including different DG sizes and types are implemented to obtain the best results. Moreover, multiple DG cases are included in the study. Finally, DGs have considered as wind turbines for best cases and cases have analysed in 24 hourly bases including uncertainties both demand and production side. 33 Bus test feeder power losses are reduced up to 69%, 86%, 90% at best cases and 39%, 53%, 55% at including uncertainties by proposed algorithm for cases 1, 2, 3 DG installed, respectively.

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Optimal Allocation and Sizing of DG in Radial Distribution System-A Review

Cited by 5 publications

References 17 publications

Analytical Methods of Voltage Stability in Renewable Dominated Power Systems: A Review

Analytical Methods of Voltage Stability in Renewable Dominated Power Systems: A Review

Optimal location and sizing of multiple distributed generators in radial distribution network using metaheuristic optimization algorithms

Simulation of Energy Consumption in Jaw Crusher Using artificial intelligence models

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