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[IEEE 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) - Mysore (2017.9.8-2017.9.9)] 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC) - Development, Testing and Performance Analysis of SPV Powered 0.5HP AC Water Pumping System
摘要： This paper presents the implementation and testing of SPV powered 0.5HP AC water pumping system. DC pumps are widely used in SPV based systems. However, the cost employed for DC pumps is much larger in comparison to conventional AC pumps. In the proposed system inverter is designed for 400 W SPV panel connected to 0.5HP pump. The experimental setup is in Energy Park, Basaveshwar Engineering College built (Autonomous), Bagalkot, India. Further, performance analysis of the SPV water pump under varying conditions of solar radiation is carried out. Solar radiation, SPV output, Inverter output, Inverter efficiency, Flowrate from pump, Hydraulic power output and Pump efficiency are experimentally obtained and tabulated. Performance results revealed that, proposed model delivers 45-50 liters of water per minute from the depth of 3m water tank. Maximum efficiency of inverter and entire unit is obtained at highest solar radiation of 1195W/m2. The results indicate the efficient working of the implemented system for at least 4 hrs, between 11:00am to 3:00pm of a day. The proposed the cost and decreases dependency on conventional energy sources, while satisfying the water requirement in small scale agriculture and gardening.
关键词： Inverter,Radiation,Solar photovoltaic system,Hydraulic Head,Centrifugal pump
更新于2025-09-23 15:21:01
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A novel photovoltaic-pumped hydro storage microgrid applicable to rural areas
摘要： This paper proposes a novel photovoltaic-pumped hydro storage microgrid design, which is more cost-effective than photovoltaic-battery systems. Existing irrigation infrastructure is modified in order to store energy at a low cost. This energy storage system pumps water from the bottom of a water well to a reservoir at ground level to store surplus energy in the form of gravitational potential energy. This stored water can be released back to the well through a turbine to generate clean electricity when it is needed, or it can be used for irrigation. This microgrid needs a complex management system that takes into account energy generation, energy demand, water demand, energy tariff, and system losses to determine pump power, turbine flow rate, as well as irrigation times. The proposed energy management system considers the current and future state of the system and compares cost-saving and feed-in income for each decision by using two forecasting methods and a multi-level optimisation algorithm. The performance of the management system is experimentally verified on a real pump and turbine. The objective of this study is not only to manage pump power and turbine flow rate, but also to manage irrigation times and water volume. The results show that adding irrigation and water management assist the energy management system in using stored water more efficiently. As a result, electricity costs are reduced by more than 31% compared to existing management methods. The proposed system is simulated in MATLAB to calculate annual electricity costs. The payback period and lifetime benefit of the proposed storage are calculated to investigate the economic aspects of the system.
关键词： Pumped hydro storage system,Microgrid,Energy management system,Energy storage system,Solar photovoltaic system,Renewable energy
更新于2025-09-19 17:13:59
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Forecasting the Performance of a Photovoltaic Solar System Installed in other Locations using Artificial Neural Networks
摘要： Photovoltaic solar energy has been spread all over the world, and in Brazil this energy source has been getting considerable space in the last years, being driven mainly by the energy crises. However, when installed in regions with low incidence of solar irradiation, this technology presents a loss of efficiency in the generation of energy. As an alternative to this consideration, a power prediction study could be conducted prior to its installation, based on local climate information that directly influences power generation, verifying the feasibility of system implementation and avoiding unrewarded investment. Therefore, the objective of this work is to predict the viability of the installation of a photovoltaic system of 3kWp in different places, with the assist of an Artificial Neural Network. Thus, the feedforward network was used for the training, being trained and validated with the support of MatlabVR , and inserting samples of temperature and solar irradiation as input variables. Through the performance methods, the results are favorable for this application, presenting validations with RMSE% in the range of 13-20% and R of not less than 0.93. The predictions presented RMSE% around 19-25% and average powers close to the real values generated by the PV system.
关键词： solar irradiation,renewable energy,electrical systems,energy efficiency,power forecasting,feedforward,artificial neural network,root mean square error,solar photovoltaic system,distributed generation
更新于2025-09-19 17:13:59
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Cooperative Management for PV/ESS-Enabled Electric-Vehicle Charging Stations: A Multi-Agent Deep Reinforcement Learning Approach
摘要： This paper proposes a novel multi-agent deep reinforcement learning method for the energy management of distributed electric vehicle charging stations with a solar photovoltaic system and energy storage system. In the literature, the conventional method is to calculate the optimal electric vehicle charging schedule in a centralized manner. However, in general, the centralized approach is not realistic under certain environments where the system operators for multiple electric vehicle charging stations handle dynamically varying data, such as the status of the energy storage system and electric vehicle-related information. Therefore, this paper proposes a method that can compute the scheduling solutions of multiple electric vehicle charging stations in a distributed manner while handling run-time time-varying dynamic data. As shown in the data-intensive performance evaluation, it can be observed that the proposed method achieves a desirable performance in terms of reducing the operation costs of electric vehicle charging stations.
关键词： solar photovoltaic system,energy management,electric vehicle charging stations,multi-agent deep reinforcement learning,energy storage system
更新于2025-09-16 10:30:52
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Assessment of the Carbon and Cost Savings of a Combined Diesel Generator, Solar Photovoltaic, and Flywheel Energy Storage Islanded Grid System
摘要： The use of diesel generators to provide power for islanded grids has been the technology of choice but they generate substantial carbon emissions unless the part or all the fuel comes from a renewable source. Notwithstanding this, the engine must be sized to meet maximum demand and will operate ine?ciently at part load most of the time, which is particularly bad for a synchronous constant speed engine. Given the availability of low cost solar photovoltaic (PV) systems, it is very enticing to ?t a diesel generator and allow the engine to be turned o? during PV generation. However, this combination will not work without some form of energy storage since it takes time for the engine to start, leading to gaps in supply and instability of the system. Lithium-ion batteries are typically considered to be the best solution to this problem because they have a high response rate, costs are lower, and they are available as products. However, they will su?er from the limited cycle and calendar life due to high cycling requirements in the application described. It is, therefore, proposed that a ?ywheel system could o?er a lower lifetime cost alternative since only short duration bridging power storage is needed and ?ywheels of appropriate design can o?er lower power cost than Lithium-ion battery systems. Flywheels are particularly attractive since they have a very high calendar with almost an in?nite cycle life and are fully recyclable at the end of life. This research, therefore, presents an assessment of the ?ywheel energy storage system (FESS) as an alternative to electrochemical batteries to supplement solar PV systems backed up by diesel generators. The model of an islanded PV system combined with a diesel generator and a FESS supplying power to a residential load is implemented in MATLAB/Simulink. The results of the analysis for the cases with and without storage based on a number of di?erent charge-discharge strategies provide evidence to support this hypothesis.
关键词： dynamic model,standalone hybrid system,solar photovoltaic system,backup diesel generator,flywheel energy storage
更新于2025-09-12 10:27:22
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Economic and performance evaluation of grid-connected residential solar photovoltaic systems in Northwest China
摘要： The purpose of the study is to assess and compare the economy and performance of a hypothetical 5 kWp grid-connected residential solar photovoltaic (PV) system with and without batteries in Northwest China. The performance and economic analysis of the grid-connected residential PV system in five locations (Xi’an, Lanzhou, Xining, Yinchuan, and Urumqi) of different Northwest China has been performed through System Advisor Model (SAM) software developed by National Renewable Energy Laboratory (NREL) using the typical meteorological year (TMY) data of EnergyPlus weather database. The results indicate that the feasible system comprises 16 Shanghai JA Solar Technology JAM6-72-275 mono-crystalline modules rated at 275Wp, two GCI-3K-2G-H inverters rated at 2,990 W, and without flooded lead acid battery storage. The grid-connected PV systems are economically viable in the five locations, whereas the grid-connect PV/battery systems are not viable under the existing assumptions. The loan term has the greatest impact on the real LCOE and NPV compared to the considered sensitivity variables when the range of variation is within ±20%.
关键词： levelized cost of electricity,grid-connected residential solar photovoltaic system,economic,Performance,net present value
更新于2025-09-12 10:27:22
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Engineering design development of 52,5 KiloWatt peak solar photovoltaic system for industrial Rooftop building
摘要： The purpose of this research is to develop on-grid engineering design of 52,5 KW photovoltaic system on Industrial Rooftop Building. The development of solar photovoltaic system is to satisfy high demand of electrical energy for industry, offices, and public with minimum cost. Taking consideration of green energy, solar energy might be chosen as an alternative to generate electric power by utilization of Rooftop on industrial building. This research was conducted using broad database of meteorological data i.e. global daily horizontal solar irradiance. Additionally, Rooftop photovoltaic development, layout plan, photovoltaic array connection, Single Line Diagram and structure support photovoltaic module were developed using Helioscope and PV Syst software. Based on 6 months’ period simulation, annual energy produced on Rooftop is 1043.88 kWh/kWp, Global Horizontal Irradiance (GHI) 1301.96 kWh/m2, actual Global Horizontal Irradiance 5.6%, and performance ratio (PR) 80.30 % and capital Rooftop photovoltaic project forecast. This results can be used for industrial and big office in west Indonesian recommendation to develop solar energy system on Rooftop building
关键词： solar photovoltaic system,PV Syst,on-grid,industrial rooftop,Helioscope
更新于2025-09-12 10:27:22
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Solar Photovoltaic Array Reconfiguration using Magic Su-Do-Ku algorithm for Maximum Power Production under Partial Shading Conditions
摘要： Power generation using photovoltaic (PV) array diminishes during shading. Under the conditions, the solar PV modules are exposed to dissimilar solar irradiation. The power vs voltage curve and current vs voltage curve of such PV array consist of multiple peaks in its characteristics and consequently the mismatch losses occur. This paper explores the power enhancement in PV array, which is exposed to partial shading conditions, through Magic Su-Do-Ku based static reconfiguration. The previous suggested static reconfiguration strategies attain poor power enhancement due to ineffectual shade dispersion. This proposed Magic Su-Do-Ku based interconnection arrangement overcomes these drawbacks to attain uniform shadow dispersion without altering the Total-Cross-Tied (TCT) connections. The power enhancement of the PV array has been analyzed through its P-V characteristics, mismatch loss, and effect of shade dispersion on its maximum power point (MPP) with different shading patterns. The performance of suggested arrangement shows good results for various shading patterns.
关键词： Magic Su-Do-Ku pattern,Mismatch losses,Solar Photovoltaic system,Static reconfiguration,Partial shading
更新于2025-09-11 14:15:04
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Intelligent approach-based hybrid control algorithm for integration of solar photovoltaic system in smart grid environment
摘要： Integration of solar PV as a distributed generator (DG) require efficient and coordinated control measures for the proper synchronization. In this paper, a hybrid control algorithm for single stage solar photovoltaic (PV) system integrated with low voltage (LV)/medium voltage (MV) grid is proposed. The hybrid algorithm utilizes I cos ? technique and quasi-Newton back-propagation (QNBP) neural network (NN). The main contributions of the present work are: i) support the utility grid by feeding power and connected loads, ii) provide harmonics elimination, reactive power compensation, load balancing, iii) also works in power factor correction (PFC) and zero voltage regulation modes, iv) provides power quality improvement. The proposed control of grid tied PV system provides very fast response during static and dynamic conditions. The obtained results are compared with other well-established algorithms available in the literature. The comparison of the proposed algorithm is done on the basis of various parameters such as DC voltage undershoot and overshoot, settling time and THD in grid currents. The developed system is demonstrated in MATLAB/SIMULINK platform. Using the proposed algorithms there is significant improvement of 1.1% in total harmonic distortion (THD) of source current. The results of proposed controllers are experimentally validated on a developed laboratory protype.
关键词： hybrid control algorithm,power quality improvement,quasi-Newton back-propagation neural network,smart grid,solar photovoltaic system
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE Industry Applications Society Annual Meeting - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Industry Applications Society Annual Meeting - Control of Single Phase Solar Photovoltaic Supply System
摘要： This work deals with the modified multilayer fifth order generalized integrator (MLFOGI) based grid tied single phase solar photovoltaic (PV) system employing fuzzy logic control (FLC) based maximum power point tracking (MPPT) algorithms. The MLFOGI is used to extract the fundamental component of grid voltage under polluted grid due to voltage sag, swell, harmonics, frequency variations and dc offsets. The FLC based MPPT is capable to extract optimum energy under change in weather conditions. It offers fast dynamic response under reduced PV voltage oscillation. The proposed system is developed on MATLAB 2018a and obtained results shows the feasibility of system control and Total Harmonics Distortions (THDs) of grid current are in acceptable limits as per IEEE-519 standard.
关键词： Multilayer Fifth Order Generalized Integrator (MLFOGI),Maximum Power Point Tracing (MPPT),Fuzzy Logic Control (FLC),Voltage Source Inverter (VSI),Solar Photovoltaic System (SPV)
更新于2025-09-11 14:15:04