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In the present work, a cuckoo search optimisation-based approach has been developed to allocate static shunt capacitors along radial distribution networks. The objective function is adopted to minify the system operating cost at different loading conditions and to improve the system voltage profile. In addition to find the optimal location and values of the fixed and switched capacitors in distribution networks with different loading levels using the proposed algorithm. Higher potential buses for capacitor placement are initially identified using power loss index. However, that method has proven less than satisfactory as power loss indices may not always indicate the appropriate placement. At that moment, the proposed approach identifies optimal sizing and placement and takes the final decision for optimum location within the number of buses nominated with minimum number of effective locations and with lesser injected VArs. The overall accuracy and reliability of the approach have been validated and tested on radial distribution systems with differing topologies and of varying sizes and complexities. The results shown by the proposed approach have been found to outperform the results of existing heuristic algorithms found in the literature for the given problem.

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In this study, optimum values of unknown seven parameters of proton exchange membrane fuel cells (PEMFCs) stack are generated for the sake of appropriate modelling. An objective function is adopted to minimise the sum of square errors (SSE) between the experimental data and the corresponding estimated results. A novel application of grasshopper optimisation algorithm (GOA) is engaged to minimise the SSE subjects to set of inequality constraints. Three study cases of typical commercial PEMFCs stacks are demonstrated and verified under various steady-state operating scenarios. Necessary subsequent comparisons to new results by others found in updated state-of-the-art are made. Sensitivity analysis of defined parameters is carried out. It is found that the PEMFC model is susceptible to the deviations of optimised parameters as the errors are substantially disturbed which signifies the value of the GOA-based method. In addition, performance measures to indicate the robustness of the GOA-based methodology are pointed out. At this moment, dynamic model of the stack is addressed and incorporated to demonstrate its dynamic response. Detailed MATLAB/SIMULINK simulation model is implemented to study the PEMFC dynamic performance. The simulated test cases emphasise the viability and effectivity of the GOA-based procedure in steady-state and dynamic simulations. T r stack time response (s) T t time constant of thermodynamics (s)

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