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This study examines a new approach to selecting the locations of unified power flow controllers (UPFCs) in power system networks based on a dynamic analysis of voltage stability. Power system voltage stability indices (VSIs) including the line stability index (LQP), the voltage collapse proximity indicator (VCPI), and the line stability index (Lmn) are employed to identify the most suitable locations in the system for UPFCs. In this study, the locations of the UPFCs are identified by dynamically varying the loads across all of the load buses to represent actual power system conditions. Simulations were conducted in a power system computer-aided design (PSCAD) software using the IEEE 14-bus and 39- bus benchmark power system models. The simulation results demonstrate the effectiveness of the proposed method. When the UPFCs are placed in the locations obtained with the new approach, the voltage stability improves. A comparison of the steady-state VSIs resulting from the UPFCs placed in the locations obtained with the new approach and with particle swarm optimization (PSO) and differential evolution (DE), which are static methods, is presented. In all cases, the UPFC locations given by the proposed approach result in better voltage stability than those obtained with the other approaches.

Due to its effective contribution to resolve many problems and its positive impact on distribution systems, great attention has been paid to DG during the last decade. In this paper, an efficient approach based on a newly developed metaheuristic that is the Water Cycle Algorithm (WCA) is adopted for the Optimal Incorporation of Distributed Generation (OIDG) in radial distribution systems (RDSs) for real power loss reduction, voltage stability enhancement and voltage profile improvement. Various case studies containing up to two different objective functions are investigated. The methodology adopted in this paper is carried out on the standard 33-bus, 69-bus and 85-bus distribution test systems. Some interesting results are also discussed in this paper. [ABSTRACT FROM AUTHOR]

This paper presents the implementation of the Firefly Algorithm (FA) with an online wavelet filter on the automatic generation control (AGC) model for a three unequal area interconnected reheat thermal power system. The model includes time delay, dead zone, boiler, Generation Rate Constraint (GRC), and high frequency noise components. A novel filtering technique based on wavelet transform is introduced for the purpose of removing noise(s) from the ACE signal. The performance of the filter is measured by formulating a signal integrity index. The simulation results show that the FA is able to outperform the Particle Swarm Optimization (PSO) in obtaining the minimum objective function based on Integral of Time Weighted Squared Error (ITSE). The results also shows that the proposed online wavelet filter performs with a higher degree of efficiency compared to the conventional low pass filter when the practical model of the AGC is analyzed. Further investigation by varying the GRC and time delay parameter confirms the robustness of the FA tuned controller with the online wavelet filter. [ABSTRACT FROM AUTHOR]

Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ) is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

An improvement in service continuity of power supply in distribution system could be achieved through a fast fault location. In line with this objective, a fault location method for a distribution network is proposed in this paper. The method uses non-linear voltage sag profile equations as a means to locate a fault. Considering the possibility of having non-homogeneity of line impedances in distribution network, the voltage sag profile equations are constructed for each section. The possible fault location is estimated by incorporating the measured voltage magnitude and its corresponding phase angle into equation of voltage sag as a function of fault distance. The uncertainty of fault resistance is also considered in this method by constructing the voltage sag equations based on different fault resistance values. The performance of the algorithm is presented using an actual distribution network. [ABSTRACT FROM AUTHOR]

This paper proposes an alternative automated fault location algorithm to locate a faulted section in distribution network using only voltage sag data monitored at the primary substation. A pattern matching approach between simulated voltage sag and measurement is proposed to identify the faulted section. The degree of matching between the actual and simulated one is then used to rank the possible faulted sections. The algorithm has been tested on an actual urban underground distribution network feeder. The results show that most faulted sections can be located by the first attempt. All remaining faulted sections can be found by the second attempt. [ABSTRACT FROM AUTHOR]

Highlights: [•] A novel power management algorithm is developed. [•] An effective power smoothing index is derived. [•] Application of battery storage in smoothing the power fluctuations is investigated. [•] An applicable battery sizing and designing algorithm is proposed. [•] An efficient battery current control algorithm is designed. [Copyright &y& Elsevier]

Abstract: This paper proposes a new algorithm for Distributed Generator (DG) placement and sizing for distribution systems based on a novel index. The index is developed considering stable node voltages referred as power stability index (PSI). A new analytical approach is adopted to visualize the impact of DG on system losses, voltage profile and voltage stability. The proposed algorithm is tested on 12-bus, modified 12-bus and 69-bus radial distribution networks. The test results are also compared and found to be in close agreement with the existing Golden Section Search (GSS) algorithm. [Copyright &y& Elsevier]

Abstract: This paper presents a new approach for optimum simultaneous multi-DG (distributed generation) placement and sizing based on maximization of system loadability without violating the system constraints. DG penetration level, line limit and voltage magnitudes are considered as system constraints. HPSO (hybrid particle swarm optimization) algorithm is also proposed in this paper to find the optimum solution considering maximization of system loadability and the corresponding minimum power losses. The proposed method is tested on standard 16-bus, 33-bus and 69-bus radial distribution test systems. This paper will also compare the proposed method with existing Ettehadi method and present the effectiveness of the proposed method in terms of reduction in power system losses, maximization of system loadability and voltage quality improvement. [Copyright &y& Elsevier]

Highlights: [•] New algorithm is proposed for network reconfiguration using loadability index λ. [•] Continuation power flow is used to find the maximum loadability index λ max. [•] Simplified artificial bee colony algorithm is used to find the optimum solution. [•] Graph theory is used to maintain the radiality of the system. [•] The proposed algorithm has significantly improved the efficiency of system. [ABSTRACT FROM AUTHOR]

Highlights: • A new algorithm is proposed for optimum DG placement and sizing.• I 2 R losses minimization and voltage stability maximization is considered in fitness function.• Bus voltage stability and line stability is considered in voltage stability maximization.• Multi-objective PSO is used to solve the problem.• Proposed method is compared with analytical and grid search algorithm. [Copyright &y& Elsevier]