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Optimal reactive power planning is one of the major and important problems in electrical power systems operation and control. This is nothing but multi-objective, nonlinear, minimization problem of power system optimization. This paper presents the relevance of New Improved Differential Evolution (NIDE) algorithm to solve the Reactive Power Planning (RPP) problem based on Multi-objective optimization. Minimization of total cost of energy loss and cost of F A C T c o n t r o l e r s installments are taken as the objectives incorporating (RPP) problem. With help of New Voltage Stability Index (NVSI), the critical lines and buses are identified to install the FACTS controllers. The optimal settings of the control variables of the generator voltages, transformer tap settings and provision and parameter settings of the FACT controllers SVC, TCSC, and UPFC are considered for reactive power planning. The approach applied to IEEE 30 and 72-bus Indian system for minimization of active power loss. Simulation results are compared with other optimization algorithm.

<span lang="EN-IN">The paper presents a modified constant voltage (MACV) maximum power tracking algorithm approach for PV array fed brushless DC (BLDC) motor drive for air conditioning application. The proposed algorithm tracks the power instantaneously for sudden changes in solar radiation. The PV power is fed to Voltage source inverter directly without conventional dc dc converter there by reducing the overall cost and high frequency switching losses and efficiency of the system is improved by reducing number of power conversion stages. The appropriateness of the voltage and current controller for PV fed BLDC motor for cooling applications is verified for dynamic changes of solar radiation. The proposed system is designed and modelled and results are verified using MATLAB/SIMULINK software. </span>

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