Power loss reduction in radial distribution system with multiple distributed energy resources through efficient islanding detection

Choudhry, M.A.; Khan, Hasham

doi:10.1016/j.energy.2010.09.003

Cited by 21 publications

(7 citation statements)

References 27 publications

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“…The results have shown that with the aid of these methods, the performance of passive islanding detection techniques is enhanced and their NDZ can be reduced to almost zero. However, most common way of solving the drawbacks of passive islanding techniques is obtained by using active islanding detection techniques [21][22][23][24][45][46][47].…”

Section: Passive Islanding Detection Techniquesmentioning

confidence: 99%

An islanding detection strategy for distribution network connected with hybrid DG resources

Laghari

Mokhlis

Karimi

et al. 2015

Renewable and Sustainable Energy Reviews

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Average rate of change of reactive power Bio-Mass Mini-hydro a b s t r a c tThe exponential growth in electricity demand has driven the Distributed Generation (DG) technology a boost in the power system. The use of DG is beneficial to power utilities, DG owners', and end-users in terms of reliability, power quality, and economics. However, to fully utilize the benefits of DGs, some technical issues need to be addressed. Islanding condition is one of the most important issue in this context. Until now, several islanding detection techniques have been proposed for detecting the islanding condition. This paper presents a brief overview of existing islanding detection techniques with their relative merits and demerits. Apart from this, the paper presents an islanding detection strategy suitable for hybrid DG resources of mini-hydro and Bio-Mass. The proposed strategy uses average rate of change of reactive power and load shift strategy to detect islanding of the distribution network. The performance of proposed strategy is validated on various islanding and non-islanding events. The results of proposed strategy are compared with other existing techniques in terms of fast islanding detection, and non-detection zone. The simulation results show that the proposed strategy is effective in detecting islanding phenomenon possesses fast detection and negligible non-detection zone region compared to existing islanding detection techniques.

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Section: Passive Islanding Detection Techniquesmentioning

confidence: 99%

An islanding detection strategy for distribution network connected with hybrid DG resources

Laghari

Mokhlis

Karimi

et al. 2015

Renewable and Sustainable Energy Reviews

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“…21 The uncertainty in these renewable generation units is their sources, which are not available in abundant all times because of seasonal and climatic changes. 26 A hybrid model with wind, solar, and diesel generation unit was proposed by Moradi and Abedini 27 to accommodate the distribution system for 5 years period of load variations. 23 Integrating renewable energy sources to a distribution system can reduce the emission and distribution line loss by considering the voltage profile improvement.…”

Section: Introductionmentioning

confidence: 99%

Hybrid renewable energy-based distribution system for seasonal load variations

Kumar¹,

Raja²,

Srinivasan

et al. 2017

Int J Energy Res

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Summary In recent scenario, there is abundant availability of renewable energy resources to satisfy the significant increase in residential, industrial, and commercial demand. This paper presents a novel framework to determine the preeminent size of renewable distributed generators (RDGs) by optimizing the system components such as area required for solar‐photovoltaic modules, swept area occupied by wind turbine blades, and area used by fuel cell. A microgrid with hybrid RDG (h‐RDG) is integrated in distribution system to minimize the distribution loss, substation energy requirement, and improve the voltage level of the load. The power loss minimization is formulated as a nonlinear problem and optimized by the proposed Hybrid Nelder Mead‐Particle Swarm Optimization algorithm. The microgrid location is identified by voltage stability index to improve the stability of system. Further, the system is analyzed for energy flow in different seasonal loading conditions with mixture of residential, industrial, and commercial load. The effective performance of the proposed technique is applied to standard 12‐bus, 69‐bus, and a practical Tamil Nadu (TN) 84‐bus radial distribution system (RDS) for different hybrid combinations of h‐RDG in microgrid. The result proves that the proposed method provides a simple and efficient tool for optimal and flexible use of h‐RDG in microgrid under different climatic changes by simultaneously reducing distribution energy loss and improving voltage profile.

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“…Choudhry and Khan perused existing islanding detection methods and proposed an islanding detection algorithm for voltage profile improvement and power loss reduction in radial distribution networks in the presence of multiple DG resources. In Hovanessian and Norouzi, to detect the island state, a comprehensive islanding detection algorithm based on wavelet transform and rate of change of frequency (ROCOF) method was considered.…”

Section: Introductionmentioning

confidence: 99%

A new controlled superconducting magnetic energy storage for dynamic stabilization of distributed generation in islanding mode of operation

Asadi

Meyar‐Naimi

Jahangiri

2017

Int Trans Electr Energ Syst

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Summary According to IEEE std. 1547, islanding mode is “a condition in which a portion of an Electric Power System (EPS) is energized solely by one or more local EPSs through the associated Point of Common Coupling (PCC) while that portion is electrically separated from the rest of the area EPS”. Therefore, the dynamic instability due to islanding may result in power swing and finally loss of synchronism. Hence, many studies have been done for islanding detection and disconnection of distributed generation (DG) in an EPS. But, these conventional methods eventually lead to the disconnection of the DG units. To improve DG dynamic stability, superconducting magnetic energy storage (SMES) can be used effectively, because SMES have a high‐energy density and fast response. This paper proposes a new method to damp the power swing after DG islanding and to maintain synchronism conditions based on SMES. Hence, the disconnection of the DG units is not required. Also, new controllers are developed for SMES including voltage source converter (VSC), and DC‐DC chopper. The controller structures of VSC and DC‐DC chopper are of PI and fuzzy logic‐based type, respectively. Superconducting coil charging is controlled by the DC‐DC chopper. SMES sizing is performed, based on power swing equations. Hereupon, dynamic load model is considered. Performance of the proposed method is evaluated by defining 12 scenarios such as strong and weak networks with load changing simulated in PSCAD. Simulation results show that the islanded DG stabilization (IDGS) method has good performance to maintain stability margin in a weak network.

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Power loss reduction in radial distribution system with multiple distributed energy resources through efficient islanding detection

Cited by 21 publications

References 27 publications

An islanding detection strategy for distribution network connected with hybrid DG resources

An islanding detection strategy for distribution network connected with hybrid DG resources

Hybrid renewable energy-based distribution system for seasonal load variations

A new controlled superconducting magnetic energy storage for dynamic stabilization of distributed generation in islanding mode of operation

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