- 标题
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- 实验方案
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Forecasting Solar Power Using Long-Short Term Memory and Convolutional Neural Networks
摘要： As solar photovoltaic (PV) generation becomes cost-effective, solar power comes into its own as the alternative energy with the potential to make up a larger share of growing energy needs. Consequently, operations and maintenance cost now have a large impact on the profit of managing power modules, and the energy market participants need to estimate the solar power in short or long terms of future. In this paper, we propose a solar power forecasting technique by utilizing convolutional neural networks and long–short-term memory networks recently developed for analyzing time series data in the deep learning communities. Considering that weather information may not be always available for the location where PV modules are installed and sensors are often damaged, we empirically confirm that the proposed method predicts the solar power well with roughly estimated weather data obtained from national weather centers as well as it works robustly without sophisticatedly preprocessed input to remove outliers.
关键词： convolutional neural networks,deep learning,long-short term memory,Solar power forecasting
更新于2025-09-23 15:22:29
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Optimal load dispatch of community microgrid with deep learning based solar power and load forecasting
摘要： A deep recurrent neural network with long short-term memory units (DRNN-LSTM) model is developed to forecast aggregated power load and the photovoltaic (PV) power output in community microgrid. Meanwhile, an optimal load dispatch model for grid-connected community microgrid which includes residential power load, PV arrays, electric vehicles (EVs), and energy storage system (ESS), is established under three different scheduling scenarios. To promote the supply-demand balance, the uncertainties of both residential power load and PV power output are considered in the model by integrating the forecasting results. Two real-world data sets are used to test the proposed forecasting model, and the results show that the DRNN-LSTM model performs better than multi-layer perception (MLP) network and support vector machine (SVM). Finally, particle swarm optimization (PSO) algorithm is used to optimize the load dispatch of grid-connected community microgrid. The results show that EES and the coordinated charging mode of EVs can promote peak load shifting and reduce 8.97% of the daily costs. This study contributes to the optimal load dispatch of community microgrid with load and renewable energy forecasting. The optimal load dispatch of community microgrid with deep learning based solar power and load forecasting achieves total costs reduction and system reliability improvement.
关键词： community microgrid,load forecasting,deep learning,Optimal load dispatch,solar power
更新于2025-09-23 15:22:29
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Barriers to and consequences of a solar-based energy transition in Greece
摘要： In Greece, the renewable energy potential and a low-quality building stock constitute the background of a possible low-carbon energy transition. This transition, however, faces significant uncertainties, ranging from long-term effects of the ongoing economic recession and technological lock-ins, to the stability of the regulatory framework and issues of public acceptance. Such uncertainties may eventually give rise to significant barriers to, as well as severe economic and social consequences of, the envisaged transition. Here, in a structured approach to eliciting the knowledge embedded in stakeholders, we identify such risks and explore their dynamics and role in a sustainable transition to a power system that is based on large-scale solar projects and prosuming in the residential sector. We then employ a modelling ensemble, consisting of a macroeconomic dynamic stochastic general equilibrium model and a business strategy assessment model, in order to quantify and evaluate the extent of the identified risks’ impact.
关键词： Modeling,Energy transitions,Fuzzy cognitive maps,Solar power,Greece,Self-consumption
更新于2025-09-23 15:22:29
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[ASME ASME 2018 International Mechanical Engineering Congress and Exposition - Pittsburgh, Pennsylvania, USA (Friday 9 November 2018)] Volume 6A: Energy - Retrofitting Gas Turbine Units Parabolic Trough Concentrated Solar Power for Sustainable Electricity Generation
摘要： Shams1 is hybrid solar/natural-gas concentrated solar power (CSP) plants. The plant is also integrated with a booster gas-fired-heaters for steam superheating. In addition to direct fire-heaters to the heat transfer fluid (HTF) for supplying thermal energy during the night or whenever the solar irradiance level is dimmed. However, there is a more sustainable way to avoid power-generation-outages transient weather conditions without a significant plant reconstruction, i.e. integration with gas turbines. In this study, a thermodynamic model of Shams1 integration with gas turbines is developed to investigate the gas turbine capacity and the exergitic efficiency of the supplied gas with and without the gas turbine involvement. The HTF heaters will receive the needed thermal energy from the gas turbines exhaust gases instead of the direct fire-heater (case1). Another potential is replacing the booster fire heaters with the gas turbine system as well. (case2). A parametric study is conducted to determine the size and the requirements of a gas turbine system for the specified power target demand in addition to a feasibility study for the proposed system. The results showed that using two gas turbines for the HTF heater significantly improved the overall efficiency and reduces the CO2 emission. Replacing the booster heater with two gas turbines improves the efficiency up to excess air factor of 2.5.
关键词： CSP,Topping and Bottoming Cycles,CSP/Gas Integration,Concentrated Solar Power
更新于2025-09-23 15:22:29
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[IEEE 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Beijing, China (2018.10.20-2018.10.22)] 2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2) - Concentrating Solar Power Station Optimal Operation Model
摘要： With the improvement of energy structure, large scale grid connection of renewable energy, as a new technology for absorbing solar energy, concentrating solar power generation uses a thermal storage system to make it a schedulable resource without increasing the uncertainty of the system. This paper considers the energy transfer process and the thermal energy conversion efficiency among the concentrating solar modules, and constructs their basic operation models respectively. Through the design of different operating modes, the examples are simulated. The values of key parameters are taken into account to optimize the operation results. The impact of the analysis shows that concentrating solar power plants have certain advantages in dealing with solar energy uncertainty, prolonging production cycles, improving the utilization efficiency of heat storage tanks, and economic efficiency.
关键词： Concentrating solar power,renewable energy,thermal energy storage,optimal operation
更新于2025-09-23 15:22:29
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[Energy, Environment, and Sustainability] Advances in Solar Energy Research || Supercritical Carbon Dioxide Solar Thermal Power Generation—Overview of the Technology and Microchannel Receiver Development
摘要： The supercritical carbon dioxide (sCO2) power cycle is being considered for solar thermal central receiver systems in the United States. The cycle lends to increased high-temperature input that is expected of the next-generation concentrating solar thermal power (CSP) systems. Power block efficiencies of about 50% can be achieved for recompression cycles at an input temperature of approximately 720 °C. Additionally, the power block is compact and less complex, raising the possibility of using thermal-storage-coupled CSP sCO2 technologies for modular (*100 MW) peak-load power plants. Three pathways toward providing solar thermal input to the sCO2 cycle have been proposed by various research groups—the molten salt receiver pathway, the solid particle receiver pathway, and the gas-phase receiver pathway. The first two technologies have the advantage of sensible thermal storage within the solid/fluid medium passing through the receiver. In the gas receiver pathway, there is a need for coupling a sensible or latent heat storage technology. Several key technologies are needed to enable the realization of the sCO2 solar thermal technology, key among them being the receiver and thermal storage. In this chapter, some of the key gas-phase receiver technologies are discussed. The group’s past and recent work on the development of microchannel solar thermal receivers for sCO2 is emphasized.
关键词： Solar thermal,Efficiency,Supercritical carbon dioxide,Microchannel,Receiver,Concentrating solar power
更新于2025-09-23 15:21:21
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[Energy, Environment, and Sustainability] Advances in Solar Energy Research || Techno-Economic Potential of Large-Scale Solar Deployment in the US
摘要： PV system generates electricity with minimum environmental impact reduces than conventional greenhouse gas emission and consequently reduces the effects of global warming. In late of 2014, the Indian government announced an ambitious target of 100 GW installation capacity of solar PV systems by 2022. Since then, India has achieved notable progress towards this goal and has installed 20 GW cumulative solar capacity with 9.6 GW in 2017 alone. Based on the 2015 MIT Energy Initiative, by 2050, a major fraction of the world’s electric power will come from solar sources. However, this poses many technical and economic challenges on the electrical infrastructure. In this chapter, we focus on the US case, by studying the technical and economic potentials of large-scale deployment of the most commonly recognized types of solar; photovoltiac (PV) and concentrated solar power (CSP) at different locations in the US. The technical potential is assessed based on grid interconnection topologies, and solar system performance. The economic potential is evaluated based on several metrics such as the levelized avoided cost of energy (LACE) and levelized cost of electricity (LCOE), and the possibility of integration into the electricity markets. The economic potential also covers the subsidies, taxes, policies, and incentives for large-scale solar deployment. Two simulation case studies are implemented on two large-scale solar PV and CSP projects at different locations in the US to evaluate their techno-economic potentials.
关键词： Concentrated solar power,Heat transfer fluid,NPV,LCOE,Thermal energy storage,Photovoltaic system,LACE,Payback period,Mounting system
更新于2025-09-23 15:21:21
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MPC Algorithm With Reduced Computational Burden and Fixed Switching Spectrum for a Multilevel Inverter in a Photovoltaic System
摘要： Renewable energy has gained significant attention of researchers in the last years, mainly due to the importance of using unlimited energy sources to supply homes, industries, cities and countries. In this context, this document focuses on the solar injection by employing a neutral point clamped (NPC) topology together with utilization of a maximum power point tracking (MPPT) and space vector modulation (SVM) techniques. Model predictive control (MPC) is employed to manage the currents and track their references. The proposed algorithms do not employ a cost function to decide which voltage to apply resulting in a spread frequency spectrum, and instead, a concentrated SVM spectrum is imposed. Notwithstanding, the DC link capacitors voltage balance is ensured and the computational burden is notably reduced as compared to traditional Finite Set Model Predictive Control (FS-MPC). Nevertheless, the consistent results are a consequence of the critical analysis that shows the feasibility of the proposal and guarantees the good performance of the entire system in simulated and experimental platforms.
关键词： Fixed switching spectrum MPC,AC-DC power converters,Fast MPC,Predictive control,Solar power generation
更新于2025-09-23 15:21:01
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[IEEE 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Munich, Germany (2019.6.23-2019.6.27)] 2019 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC) - Quantum States of Heralded Photons
摘要： In this paper, the design and the development of a remote system for continuous monitoring of leakage currents and ground currents in high voltage electrical substations are proposed. Based on wireless local area network technology, the system can be used to monitor continuously a variety of plants within the substation and has low power consumption with inbuilt overvoltage protection. It consists of a transmitter module equipped with a data acquisition (DAQ) system connected to leakage current and voltage sensors, and a receiver module connected to a remote controller for data processing and storage. The principle of operation and the characteristics of the various components of the system are described. Validation tests have been used to verify its performance in three different test situations: A) laboratory monitoring of the leakage current and voltage of a distribution surge arrester; B) laboratory measurement of the leakage current of an outdoor insulator; and C) ?eld monitoring of the earth current and potential rise of high-voltage tower. The measured results are in close agreement with those recorded directly through a DAQ card with ?ber-optic and coaxial cable connected systems. Data processing is carried out at the receiving end so that the monitored parameter is displayed continuously or at speci?ed time intervals. The operation of the system has been tested and proved resilient under high-frequency interference signals such as those generated by corona and surface discharges.
关键词： wireless transmission,solar power,surge arrester,data acquisition,high-voltage substation,leakage current measurement,insulator,WLAN system,Continuous monitoring
更新于2025-09-23 15:21:01
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[Advances in Intelligent Systems and Computing] Knowledge Engineering and Management Volume 214 || Knowledge-Based Decision System for Sizing Grid-Connected Photovoltaic Arrays
摘要： In this paper we have developed a methodology and a numerical model for sizing photovoltaic (PV) arrays for grid-connected power consumers. The decision variables proposed are the PV contribution to the power demand and a transfer factor. The latter is a new index that we have de?ned, and it constitutes key knowledge for decision making when aiming to reduce power transfers between a local power system and the electric grid. The developed model generates days of solar irradiance and calculates PV power output for commercial PV modules. Sizing diagrams are presented that illustrate how the PV capacity, for a speci?c location and a local power demand, affects the PV contribution to the demand and the power trades with grid. For the particular simulation conditions studied, the sizing diagrams show PV contribution saturation levels and global transfer factor minimums.
关键词： Photovoltaic solar power,Renewable energy,Optimization,Sizing
更新于2025-09-23 15:21:01