The aim of this paper is to investigate a novel approach for output feedback damping controller design ofSTATCOM in order to enhance the damping of power system low frequency oscillations (LFO). The design ofoutput feedback controller is considered as an optimization problem according with the time domain-basedobjective function which is solved by a honey bee mating optimization algorithm (HBMO) that has a strongability to find the most optimistic results. The effectiveness of the proposed controller are tested anddemonstrated through nonlinear time-domain simulation studies over a wide range of loading conditions. Thesimulation study shows that the designed controller by HBMO has a strong ability to damping of power systemlow frequency oscillations. Moreover, the system performance analysis under different operating conditionsshow that the φ based controller is superior to the C based controller. پرونده مقاله

The renewable energy sources and plug-in electric vehicles (PEVs) are becoming very popular because of the combination of high fuel costs and concerns about emission issues. This paper presents modelling and control of a Building Integrated Fuel Cell and Plug-in Electric Vehicles (BIFC-PEV) in smart distribution systems. In BIFC-PEV system, conventional building elements could be replaced by special fuel cell and PEV for delivering power to the house. The interest in battery electric vehicles (BEVs) and plug-in electric vehicles (PEVs) has increased due to their impact on redistribution of the pollution from tail pipe to smog stuck, low-cost charging, and reduced petroleum usages. First, the overall configuration of the BIFC-PEV including dynamic models of fuel cell, battery and its power electronic interfacing are briefly described. Then, to distribute the power between power sources, the fuzzy power controller has been developed to stabilize the DC-link power. Simulation results are illustrated to demonstrate the effectiveness and capability of proposed control strategy during different operating conditions in utility grid. پرونده مقاله

Environmental concerns and depletion of nonrenewable resources has made great interest towards renewable energy resources. Cleanness and high potential are factors that caused fast growth of wind energy. However, the stochastic nature of wind energy makes the presence of energy storage systems (ESS) in wind integrated power systems, inevitable. Due to capability of being used in large-scale systems and the lower capital cost, compressed air energy storage (CAES) is one of the favorable storage systems. This paper proposes a model for security-constrained unit commitment (SCUC) with integration of large-scale CAES and wind generation. The SCUC problem is formulated as a mixed-integer linear program (MIP) in which a lossless dc representation of transmission network is used and it has been solved by CPLEX solver using General Algebraic Modeling System (GAMS) optimization package. The IEEE RTS 96-bus systems is used to validate the performance of the proposed method. پرونده مقاله