World energy consumption is rising due to population growth and increasing industrialization. Traditional energy resources cannot meet these requirements with notice to their challenges, e.g., greenhouse gas emission and high lifecycle costs. Renewable energy resources are the appropriate alternatives for traditional resources to meet the increasing energy consumption, especially in electricity sector. Integration of renewable energy resources with traditional fossil-based resources besides storages creates Hybrid Renewable Energy Systems (HRESs). To access minimum investment and operation costs and also meet the technical and emission constraints, optimal size of HRES׳s equipment should be determined. One of the most powerful tools for this purpose is Hybrid Optimization Model for Electric Renewables (HOMER) software that was developed by National Renewable Energy Laboratory (NREL), United States. This software has widely been used by many researchers around the world. In this paper a review of the state-of-the-art of researches, which use HOMER for optimal planning of HRES, is presented.

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Optimal planning of hybrid renewable energy systems using HOMER: A review

Selective harmonic elimination pulse width modulation (SHE-PWM) offers tight control of the harmonic spectrum of a given voltage and/or current waveform generated by a power electronics converter. Owing to its formulation and focus on elimination of low-order harmonics, it is highly beneficial for high-power converters operating with low switching frequencies. Over the last decade, the application of SHE-PWM has been extended to include multilevel converters. This paper provides a comprehensive review of the SHE-PWM modulation technique, aimed at its application to multilevel converters. This review focuses on various aspects of multilevel SHE-PWM, including different problem formulations, solving algorithms, and implementation in various multilevel converter topologies. An overview of current and future applications of multilevel SHE-PWM is also provided.

A Review of Multilevel Selective Harmonic Elimination PWM: Formulations, Solving Algorithms, Implementation and Applications

Economic dispatch using chaotic bat algorithm

Performance analysis of hybrid PV/diesel/battery system using HOMER: A case study Sabah, Malaysia

Performance evaluation of a stand-alone PV-wind-diesel-battery hybrid system feasible for a large resort center in South China Sea, Malaysia

This paper analyzed the potential implementation of renewable hybrid wind/diesel energy system in Pemanggil Island, Malaysia. National Renewable Energy Laboratory's (NREL) HOMER software was used to perform the techno economic feasibility of hybrid wind/diesel energy system. The investigation demonstrated the impact of wind penetration and battery storage on energy production, cost of energy and number of operational hours of diesel generators for the given hybrid configurations. Emphasis has also been placed on percentage fuel savings and reduction in carbon emissions of different hybrid systems. At the end of this paper, suitability of utilizing hybrid wind/diesel energy system over standalone diesel system was discussed mainly based on different wind irradiances and diesel prices.

An evaluation of hybrid wind/diesel energy potential in Pemanggil Island Malaysia

Small Scale PV Monitoring System Software Design

This paper presents a Swarm Intelligence (SI) technique namely Cuckoo Search Algorithm (CSA) which is inspired by parasitic behaviour of Cuckoo birds in reproduction strategy to obtain loss minimisation by solving the Optimal Reactive Power Dispatch (ORPD) problem. The proposed CSA is used to find the optimal combination of control variables such as generator voltages, tap changing transformers' ratios and the value of reactive compensation devices in order to minimise the loss of the transmission system. To demonstrate the effectiveness of CSA, IEEE-57 bus system is used and compared to other techniques available in literature.

Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm

ADVISOR Simulation and Performance Test of Split Plug-in Hybrid Electric Vehicle Conversion☆

This paper presents a differential evolution (DE) algorithm to solve the optimum switching angles problem in the harmonic elimination pulse width modulation (HE-PWM) inverter. Reformulated equations for two-level schemes are proposed to satisfy the DE algorithm. Optimum solutions are found for odd value of switching angles (odd N) case within all range of modulation index M. The DE algorithm needs a relative small amount of generations to reach accurate solutions with appropriate control parameters. The comparison of some common variants in the DE shows that all variants may generate the same precision results by using their best specific crossover rate and mutation factor values. MATLAB/Simulink simulation results confirm that the solutions obtained by the proposed technique can be applied to eliminate the entire undesired specific harmonics as expected by the proposed formulation.

Muhammad Ikram Mohd Rashid

Papers

An evaluation of hybrid wind/diesel energy potential in Pemanggil Island Malaysia

Small Scale PV Monitoring System Software Design

Loss Minimisation by Optimal Reactive Power Dispatch Using Cuckoo Search Algorithm

ADVISOR Simulation and Performance Test of Split Plug-in Hybrid Electric Vehicle Conversion☆

Optimal HE-PWM inverter switching patterns using differential evolution algorithm