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Economic and Resilience Benefit Analysis of Incorporating Battery Storage to Photovoltaic Array Generation
摘要： Power systems with photovoltaic (PV) arrays combined with battery backup storage are becoming increasingly used because of their capability of working in power island mode, especially during grid outages. The problem is to decide the optimal battery sizes for PV + battery systems with given solar array sizes, from both power supply reliability and economical perspectives. An optimization method based on the simulation of system operation during grid interruption is developed to investigate the effects of battery size on system output reliability level of meeting load demand with minimum cost. Case studies are conducted for validation according to actual solar irradiation data, load profiles and realistic power interruption statistics. Sensitivity analysis is also performed to explore how system total cost affects islanding capability of a PV + battery system to supply energy to facilities. The finding shows that the decline of battery price not only reduces the lowest system total cost but also improves islanded system generation reliability. The proposed methodology for optimizing battery capacity added to PV array systems can make them grid-outage resilient and economically viable, which can be utilized as a decision-making tool for future PV + battery system expansion.
关键词： Resilient power systems,Resilience,Photovoltaic power island system,Battery backup systems,System design optimization,Solar power storage
更新于2025-09-10 09:29:36
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Review of the solar flux distribution in concentrated solar power: non-uniform features, challenges, and solutions
摘要： Concentrated solar flux distribution in the concentrated solar power (CSP) systems is extremely non-uniform, which can lead to high local temperature and large temperature gradient in solar receivers that will cause great challenges for the safety and efficient operation of the system. This paper introduces the non-uniform flux features in four CSP technologies including the parabolic-trough collector, the linear Fresnel collector, the solar power tower, and the parabolic-dish collector. Challenges including degeneration of the materials, thermal stress and deformation, and overburning are summarized. The corresponding solutions proposed to tackle these challenges are emphatically reviewed, and a recommendation for the optimization of the solar collector is provided from this review, which is that the solar flux distribution and the heat transfer ability of the heat transfer fluid (HTF) should match with each other as well as possible. From this point of view, the existing solutions are classified into two groups. One is optimizing the heat transfer ability of the HTF to match with the flux distribution, which is called the passive approach. The other is homogenizing the flux distribution to match with the identical heat transfer ability of the HTF, which is called the active approach. This review can help to have a better understanding of the non-uniform solar flux features in CSPs, and provide guidance for solving the corresponding challenges.
关键词： Non-uniform temperature,Solar receiver,Concentrated solar power,Non-uniform solar flux,Challenges and solutions,Solar concentrator
更新于2025-09-10 09:29:36
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[IEEE 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Mumbai, India (2018.1.5-2018.1.5)] 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Floating Solar Collector for Hybrid Hydro-Solar Power Plant
摘要： In the current era of energy technology, almost popular branch in engineering which deals about study of conventional and non-conventional source of energy for production of non-conventional source of energy is our motto in this paper and application of floating solar collectors requires hybrid-solar power plant is manly discussed in this paper. The main concept of this paper is to generate the electricity to use of solar energy. Since hydroelectricity is the non –conventional source of energy but with the help of solar p-v panels which is the source of conventional source of energy, we can produce the energy throughout the year. We can utilize renewable source of emery for production of electricity. Solar energy is the rich source of energy for production of energy. Solar energy converted to useful energy indirectly via other energy form. There is some limitation to use solar energy as well as some advantage of use of solar emery.
关键词： Hybrid system,Hybrid hydro Solar power plant,Floating solar collectors,Use of solar energy,Future scope
更新于2025-09-10 09:29:36
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Performance Analysis and Optimization of Fresnel Lens Concentrated Solar Water Heater
摘要： Concentrated solar power (CSP) is a mature and efficient technology to cater the large-scale demand of hot water. Conventional reflectors/mirrors in CSP share 50% of total system cost. High installation as well as O&M cost is the major concern in reflector-based CSP. Apart from the above, manufacturing defects and adverse service environment cause premature degradation of reflectors and substantial drop in efficiency and service life. Performance analysis of an innovative optically concentrated solar water heater (OCSWH) using plurality of Fresnel lenses of poly methyl methacrylate (PMMA) is presented in the work. Size and yield of any solar water heater (SWH) are mainly dependent on its aperture area, output temperature, and mass flow rate, which are termed herein as critical parameters. Series of experimentations is carried out by varying critical design and operating parameters viz. aperture area, outlet temperature, and rate of mass flow, and similar experimentation is also carried out on commercially available flat plate SWH to compare its performance. Loss of heat from riser and header pipes is restricted by application of effective insulation. Substantial improvement in collector efficiency, increase in rate of mass flow, and rise in discharge temperature with reference to flat plate collector are noted. Economics is also studied covering life cycle cost (LCC), life cycle saving (LCS), and energy payback period.
关键词： concentrated solar power,optical concentrator,Fresnel lens solar water heater,Fresnel lens thermal,refractive concentrator
更新于2025-09-10 09:29:36
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LASSO & LSTM Integrated Temporal Model for Short-term Solar Intensity Forecasting
摘要： As a special form of the Internet of Things, Smart Grid is an internet of both power and information, in which energy management is critical for making the best use of the power from renewable energy resources such as solar and wind, while efficient energy management is hinged upon precise forecasting of power generation from renewable energy resources. In this paper, we propose a novel least absolute shrinkage and selection operator (LASSO) and long short term memory (LSTM) integrated forecasting model for precise short-term prediction of solar intensity based on meteorological data. It is a fusion of a basic time series model, data clustering, a statistical model and machine learning. The proposed scheme first clusters data using k-means++. For each cluster, a distinctive forecasting model is then constructed by applying LSTM, which learns the non-linear relationships, and LASSO, which captures the linear relationship within the data. Simulation results with open-source datasets demonstrate the effectiveness and accuracy of the proposed model in short-term forecasting of solar intensity.
关键词： Internet of Things (IoT),Least absolute shrinkage and selection operator (LASSO),Short-term solar power forecasting,Long short term memory (LSTM),K-means++
更新于2025-09-10 09:29:36
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[IEEE 2018 IEEE PES/IAS PowerAfrica - Cape Town, South Africa (2018.6.28-2018.6.29)] 2018 IEEE PES/IAS PowerAfrica - Design of Photo Voltaic (PV) Solar Power Plant to Supply Electricity and to Pump Water to Chele Community
摘要： Most people in Angola are still having problems with accessing electricity and water for daily basis. In Angola only 15% of villages are having electricity and water supply. Along the years the uses of non-renewable energies have been the most used and now they are becoming difficult to access. The challenge is to transmit electricity to village because of grid costs and long distances. Renewable energy sources are a good option because require complicated infrastructure nor a national grid. Chele is a village that is in Cabinda (Angola) and situated more than 100 Km away from Cabinda city. People of Chele community have been experiencing lack of water and electricity supply, and the villagers need to walk more than 8 Km to get water. The lack of electricity in this village is due to the fact that there is no closest national grid to supply electricity and to pump water. The paper reports on a project of providing affordable and sustained electricity and water supply to Chele community. The best way to implement this is to design stand-alone PV Solar Power Plant system to supply Electricity and Pump water to Chele community.
关键词： Motor pump,Design of Photovoltaic (PV) Solar Power Plant,PV Array
更新于2025-09-10 09:29:36
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AIP Conference Proceedings [Author(s) SolarPACES 2017: International Conference on Concentrating Solar Power and Chemical Energy Systems - Santiago, Chile (26–29 September 2017)] - Optimisation of aiming strategies in solar tower power plants
摘要： Inclement weather effects have a direct impact on the efficiency of a Solar Power Tower plant and have the potential to damage the receiver by flash heating. An optimised aiming strategy for the heliostat field mitigates the risk of receiver damage and maximises plant efficiency. A stochastic integer programming approach is applied to optimise the aiming strategy of the heliostat field, with uncertainty in the cloud location, size and density. The optimisation technique is demonstrated with a test case and results are presented for near real-time simulation of the optimal aiming strategy.
关键词： Solar Power Tower,stochastic integer programming,cloud uncertainty,heliostat field,aiming strategy
更新于2025-09-10 09:29:36
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Blue skies over China: The effect of pollution-control on solar power generation and revenues
摘要： Air pollution is the single most important environmental health risk, causing about 7 million premature deaths annually worldwide. China is the world’s largest emitter of anthropogenic air pollutants, which causes major negative health consequences. The Chinese government has implemented several policies to reduce air pollution, with success in some but far from all sectors. In addition to the health benefits, reducing air pollution will have side-benefits, such as an increase in the electricity generated by the solar photovoltaic panels via an increase in surface solar irradiance through a reduction of haze and aerosol-impacted clouds. We use the global aerosol-climate model ECHAM6-HAM2 with the bottom-up emissions inventory from the Community Emission Data System and quantify the geographically specific increases in generation and economic revenue to the Chinese solar photovoltaic fleet as a result of reducing or eliminating air pollution from the energy, industrial, transport, and residential and commercial sectors. We find that by 2040, the gains will be substantial: the projected solar photovoltaic fleet would produce between 85–158 TWh/year of additional power in clean compared to polluted air, generating US$6.9–10.1 billion of additional annual revenues in the solar photovoltaic sector alone. Furthermore, we quantify the cost of adopting best-practice emission standards in all sectors and find that the revenue gains from the increased solar photovoltaic generation could offset up to about 13–17% of the costs of strong air pollution control measures designed to reach near-zero emissions in all sectors. Hence, reducing air pollution in China will not only have clear health benefits, but the side-effect of increased solar power generation would also offset a sizeable share of the costs of air pollution control measures.
关键词： China,pollution-control,air pollution,solar power generation,economic revenue
更新于2025-09-10 09:29:36
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Investigation and damping of low frequency oscillations of stochastic solar penetrated power system by optimal dual UPFC controller
摘要： Solar power being stochastic and asynchronous in nature, its integration with conventional power generation put so many challenges in damping of low frequency oscillations. This paper presents an investigation of low frequency oscillation and damping of stochastic solar power integrated power system by UPFC dual optimal controller, whose gains are optimized by a novel hybrid particle swarm optimization and improved grey wolf optimizer (PSO-IGWO). The dual controller simultaneously controls modulation index of series and phase angle of shunt converters of UPFC, who co-operate each other, optimizing its efficacy and thereby implementing the advantages of both SSSC and STATCOM. Detail eigen value analysis has been performed with time domain simulations to study the damped oscillatory response of variable and random solar penetration with power system along with interaction of solar power with variable synchronous power generations. For multi machine system multi input single output dual controller is proposed. Maximum sensor and time delay has been considered to design the controller providing a realistic approach. It is observed that random and heavy solar penetration has more detrimental effect on system oscillations and which can be damped heavily with proposed controller, in contrast to PSO, DE, GWO, DEPSO optimized lead-lag and dual controllers.
关键词： low frequency oscillations,damping controller,Solar power,PSO-IGWO,UPFC
更新于2025-09-10 09:29:36
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[IEEE 2018 2nd International Conference On Electrical Engineering (EECON) - Colombo, Sri Lanka (2018.9.28-2018.9.28)] 2018 2nd International Conference On Electrical Engineering (EECon) - Application of Machine Learning Algorithms for Solar Power Forecasting in Sri Lanka
摘要： Reliability and stability of a power system get decrease with the integration of large proportion of renewable energy. Renewable sources such as solar and wind are highly intermittent, and it is difficult to maintain system stability with intolerable proportion of renewable energy injection. Solar power forecasting can be used to improve system stability by providing approximated future power generation to system control engineers and it will facilitate dispatch of hydro power plants in an optimum way. Machine Learning (ML) algorithms have shown great performance in time series forecasting and hence can be used to forecast power using weather parameters as model inputs. This paper presents the application of several ML algorithms for solar power forecasting in Buruthakanda solar park situated in Hambantota, Sri Lanka. The forecasting performance of implemented ML algorithms is compared with Smart Persistence (SP) method and the research shows that the ML models outperforms SP model.
关键词： solar power forecasting,solar power in Sri Lanka,machine learning for forecasting,renewable energy
更新于2025-09-09 09:28:46