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The increased penetration of photovoltaics (PVs) within power system on both islanded and grid-tied inverters encourages researchers to develop several maximum power point tracking (MPPT) algorithms. The main target of this chapter is to enable PV systems to participate effectively in power systems by harvesting the possible PV maximum power from a solar panel. Two evolutionary algorithms for MPPT were developed and compared, namely particle swarm optimization (PSO) algorithm and the recent cuckoo search (CS). The proposed controllers employ DC/DC boost converter to harvest the maximum power available from the PV resource. System programming and modeling is done using MATLAB/SIMULINK software. The obtained results are compared with the mature perturb and observe (P&O) algorithm under several operating conditions such as irradiance, temperature, and partial shading. The developed controllers require only the PV voltage and current, which makes them economically cost and attractive in the PV transient and steady-state operating conditions.

The increased penetration of photovoltaics (PVs) within power system on both islanded and grid-tied inverters encourages researchers to develop several maximum power point tracking (MPPT) algorithms. The main target of this chapter is to enable PV systems to participate effectively in power systems by harvesting the possible PV maximum power from a solar panel. Two evolutionary algorithms for MPPT were developed and compared, namely particle swarm optimization (PSO) algorithm and the recent cuckoo search (CS). The proposed controllers employ DC/DC boost converter to harvest the maximum power available from the PV resource. System programming and modeling is done using MATLAB/SIMULINK software. The obtained results are compared with the mature perturb and observe (P&O) algorithm under several operating conditions such as irradiance, temperature, and partial shading. The developed controllers require only the PV voltage and current, which makes them economically cost and attractive in the PV transient and steady-state operating conditions.

This paper presents a grid-connected double storage system (DSS) consisting of pumped-storage hydropower (PSH) and battery. The system is supplied by photovoltaics and wind turbines. In the proposed hybrid system, batteries absorb excess renewable energy that cannot be stored in PSH and they cover loads that cannot be supplied from the water turbine. To improve the system performance, a novel energy management strategy for the DSS is proposed. The strategy is based on an optimized factor that governs the charging process of the DSS. The problem of the optimal system design is solved by a non-dominated sorting genetic algorithm (NSGA-II). The multi-objective function considers simultaneously the minimal investment cost and minimal CO2 emissions. A comparative study of photovoltaic/wind/pumped-storage hydropower and photovoltaic/wind/double storage system is performed to show the effectiveness of the proposed strategy in terms of system economic and environmental performance. The considered location of the PSH station is on Attaqa Mountain at Suez (Egypt). The results indicate the effectiveness of the proposed energy management strategy for the storage system from economic and environmental perspectives. Coupling the battery with the PSH reduces the electricity cost by 22.2% and results in minimal energy exchange with the national grid (5% of the annual demand). A sensitivity analysis shows the largest variation of the electricity cost with changing the capital cost of the solar and wind generators. Also, it is observed that when the load increases, the optimal size of the system components increases, but it isn’t proportional with the demand increase as could be expected.

This paper presents a grid-connected double storage system (DSS) consisting of pumped-storage hydropower (PSH) and battery. The system is supplied by photovoltaics and wind turbines. In the proposed hybrid system, batteries absorb excess renewable energy that cannot be stored in PSH and they cover loads that cannot be supplied from the water turbine. To improve the system performance, a novel energy management strategy for the DSS is proposed. The strategy is based on an optimized factor that governs the charging process of the DSS. The problem of the optimal system design is solved by a non-dominated sorting genetic algorithm (NSGA-II). The multi-objective function considers simultaneously the minimal investment cost and minimal CO2 emissions. A comparative study of photovoltaic/wind/pumped-storage hydropower and photovoltaic/wind/double storage system is performed to show the effectiveness of the proposed strategy in terms of system economic and environmental performance. The considered location of the PSH station is on Attaqa Mountain at Suez (Egypt). The results indicate the effectiveness of the proposed energy management strategy for the storage system from economic and environmental perspectives. Coupling the battery with the PSH reduces the electricity cost by 22.2% and results in minimal energy exchange with the national grid (5% of the annual demand). A sensitivity analysis shows the largest variation of the electricity cost with changing the capital cost of the solar and wind generators. Also, it is observed that when the load increases, the optimal size of the system components increases, but it isn’t proportional with the demand increase as could be expected.

This paper presents a grid-connected double storage system (DSS) consisting of pumped-storage hydropower (PSH) and battery. The system is supplied by photovoltaics and wind turbines. In the proposed hybrid system, batteries absorb excess renewable energy that cannot be stored in PSH and they cover loads that cannot be supplied from the water turbine. To improve the system performance, a novel energy management strategy for the DSS is proposed. The strategy is based on an optimized factor that governs the charging process of the DSS. The problem of the optimal system design is solved by a non-dominated sorting genetic algorithm (NSGA-II). The multi-objective function considers simultaneously the minimal investment cost and minimal CO2 emissions. A comparative study of photovoltaic/wind/pumped-storage hydropower and photovoltaic/wind/double storage system is performed to show the effectiveness of the proposed strategy in terms of system economic and environmental performance. The considered location of the PSH station is on Attaqa Mountain at Suez (Egypt). The results indicate the effectiveness of the proposed energy management strategy for the storage system from economic and environmental perspectives. Coupling the battery with the PSH reduces the electricity cost by 22.2% and results in minimal energy exchange with the national grid (5% of the annual demand). A sensitivity analysis shows the largest variation of the electricity cost with changing the capital cost of the solar and wind generators. Also, it is observed that when the load increases, the optimal size of the system components increases, but it isn’t proportional with the demand increase as could be expected.

his paper introduces a 3-level of phase-shift ZVS-PWM with H bridge DC/DC with high power converter at a high-frequency link for arc welding machine. The proposed model has reduced filter size, improved dynamic response and reduced voltage losses on the semiconductor switches. Current doubler circuit is inserted on the secondary side of in a converter, and a high-output current is produced from the secondary-side circuit so, efficiency may be getting better by using current doubler rectifier (CDR). The basics of working the proposed DC/DC converter, test, and analysis are introduced. The power conversion characteristics and power loss analysis are discussed with the marked features. These features create the proposed model suitable for high input current and high voltage applications.

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