- 标题
- 摘要
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- 实验方案
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[IEEE 2019 54th International Universities Power Engineering Conference (UPEC) - Bucharest, Romania (2019.9.3-2019.9.6)] 2019 54th International Universities Power Engineering Conference (UPEC) - Design of an intelligent MPPT based on ANN using a real photovoltaic system data
摘要： Maximum power point tracking (MPPT) methods are a fundamental part in photovoltaic (PV) system design for increasing the generated power of a PV array. Whilst several methods have been introduced, the artificial neural network (ANN) is an attractive method for MPPT due to its less oscillation and fast response. However, accurate training data is a big challenge to design an optimized ANN-MPPT technique. In this paper, an ANN-MPPT technique based on a large experimental training data is proposed to avoid the system from having a high training error. Those data are collected during one year from experimental tests of a PV system installed at Brunel University, London, United Kingdom. The irradiation and temperature of weather conditions are selected as the input, and the available power at MPP from the PV system as the output of the ANN model. To assess the performance, the Perturb and Observe (P&O) and the proposed ANN-MPPT methods are simulated using a MATLAB/Simulink model for the PV system. The results show that the proposed ANN method accurately tracks the optimal maximum power point and avoids the phenomenon of drift problem, whilst achieving a higher output power when compared with P&O-MPPT method.
关键词： photovoltaic (PV),Perturb and Observe (P&O),Artificial Neural Network (ANN),Maximum power point tracking (MPPT)
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE Milan PowerTech - Milan, Italy (2019.6.23-2019.6.27)] 2019 IEEE Milan PowerTech - Optimal Scheduling of Generators and BESS using Forecasting in Power System with Extremely Large Photovoltaic Generation
摘要： Large scale integration of renewable energy sources (RES) can cause supply demand uncertainty. In Japanese power systems the photovoltaic (PV) generation is growing rapidly. PV forecasting with energy storage systems can be used in Unit Commitment (UC) to reduce these imbalances. In this study Battery Energy Storage systems (BESS) and day-ahead PV forecasting with prediction intervals have been used to examine the imbalances. The day-ahead UC of thermal generators and day-ahead optimal BESS charging and discharging is calculated with different BESS inverter capacities and BESS energy capacities. Then the power shortfall and surplus of PV power in the target day are calculated. The simulation is run for 3 months from April to June 2010 for Kanto area power system of Japan.
关键词： Photovoltaic (PV) forecasting,Unit Commitment (UC),Optimal Power dispatch,Battery Energy Storage Systems (BESS),Prediction Intervals,Mixed Integer Linear Programming (MILP)
更新于2025-09-11 14:15:04
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[IEEE 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Chengdu, China (2019.5.21-2019.5.24)] 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia) - Development of Incentive Model for Photovoltaic Generators to Participate in a Day-ahead Electricity Market in South Korea
摘要： This paper presents the incentive model when Photovoltaic (PV) generator participates in a day-ahead market in South Korea. For this, the current supporting policy for PV generation and rules of a day-ahead market are analyzed. Because of the lack of the incentive model for PV supplier in a day-ahead market, Independent System Operation (ISO) can’t consider PV generation when they plan the short-term supply of the system. Therefore, the proposed incentive model is developed to provide the additional profit to encourage PV supplier to participate in the market based on the accuracy of PV generation bidding. To verify incentive model, the actual data including PV generation, System Marginal Price (SMP) and Renewable Energy Certificate (REC) price are used.
关键词： Day-ahead Electricity Market,Photovoltaic (PV),Energy Storage System (ESS),Incentive Model
更新于2025-09-11 14:15:04
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Maximum Power Point Tracking of Photovoltaic System Based on Reinforcement Learning
摘要： The maximum power point tracking (MPPT) technique is often used in photovoltaic (PV) systems to extract the maximum power in various environmental conditions. The perturbation and observation (P&O) method is one of the most well-known MPPT methods; however, it may face problems of large oscillations around maximum power point (MPP) or low-tracking efficiency. In this paper, two reinforcement learning-based maximum power point tracking (RL MPPT) methods are proposed by the use of the Q-learning algorithm. One constructs the Q-table and the other adopts the Q-network. These two proposed methods do not require the information of an actual PV module in advance and can track the MPP through offline training in two phases, the learning phase and the tracking phase. From the experimental results, both the reinforcement learning-based Q-table maximum power point tracking (RL-QT MPPT) and the reinforcement learning-based Q-network maximum power point tracking (RL-QN MPPT) methods have smaller ripples and faster tracking speeds when compared with the P&O method. In addition, for these two proposed methods, the RL-QT MPPT method performs with smaller oscillation and the RL-QN MPPT method achieves higher average power.
关键词： photovoltaic (PV) system,Q-learning,reinforcement learning,maximum power point tracking (MPPT),Q-network
更新于2025-09-11 14:15:04
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Photovoltaic Roof Tiles: The Influence of Heat Recovery on Overall Performance
摘要： A photovoltaic (PV) roof tile serves both as a roofing material and as an electricity-producing surface. The main aim of the present study was to increase the overall system efficiency of PV tiles by using heat recovery. The chosen strategy was two-fold: determine the operational efficiency of PV tiles and optimize construction to increase the cooling effect when using air as the working medium. A detailed experimental study was undertaken to determine these effects. The results indicated that a combined electrical and thermal efficiency of 24% could be reached. This is promising and proves the potential for air to be the working medium in such systems. Moreover, this shows a direction for future system optimization.
关键词： experimental study,photovoltaic (PV) roof tiles,heat recovery,efficiency performance of electricity generation,solar light simulator
更新于2025-09-11 14:15:04
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Data-Driven Photovoltaic Generation Forecasting based on Bayesian Network with Spatial-Temporal Correlation Analysis
摘要： Spatio-temporal analysis has been recognized as one of the most promising techniques to improve the accuracy of photovoltaic (PV) generation forecasts. In recent years, PV generation data of a number of PV systems distributed in a geographical locale have become increasingly available. This paper conducts a thorough investigation of the spatial-temporal correlation amongst PV generation data of distributed PV systems. PV generation data of different PV systems located at different sites may exhibit similar time varying patterns. To quantify such spatial correlation, a suitable spatial similarity metric is chosen and its applicability is examined. To evaluate the temporal correlations amongst PV generation data collected from distributed PV systems, a shape-based distance metric is proposed. A data-driven inference model, built on a Bayesian network, is developed for a very short-term PV generation forecast (less than 30 minutes). The model utilizes historic PV generation and weather data, and incorporates the above spatial similarity and temporal correlation to support the PV output forecast. The experiment results show that the proposed method achieves a promising performance compared to a number of baseline methods.
关键词： Photovoltaic (PV) output,Spatial and temporal correlation,Bayesian networks,Forecast
更新于2025-09-11 14:15:04
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Extended Reactive Power Exchange With Faulty cells in Grid tied Cascaded H-Bridge converter for Solar PhotoVoltaic Application
摘要： Fault tolerant operation is a key feature of grid tied PV fed Cascaded H-Bridge (CHB) converter, where the converter operates continuously with faulty bypassed cells. After bypassing the faulty cells, the number of healthy cells decreases, the available dc link voltage reduces and active power among the phases become unequal. As a result, the converter produces unbalanced and distorted grid currents. Moreover, the maximum reactive power exchanged with the grid gets reduced with the available DC link voltage. This paper injection proposes a novel zero sequence voltage technique for balancing the grid currents and preventing over modulation in each cell of the converter. The proposed technique extends the reactive power capability of the converter during post fault condition. Additionally, it also helps in equal active and reactive power flow in each phase of the converter. A new PWM clamping strategy is proposed in this paper to implement the zero sequence voltage addition in the converter. The proposed concept is verified through computer simulation and experimental results.
关键词： cascaded H-bridge (CHB) multilevel converters,PWM clamping strategy,solar PhotoVoltaic (PV),fault tolerance,reactive power,Ancillary services
更新于2025-09-11 14:15:04
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Systematic Analysis and Design of Water Networks With Solar Photovoltaic Energy
摘要： The methodology presented in this article tries to make a water-energy auditing so as to design the same water network characteristics but being supplied by photovoltaic (PV). We identify which data would be required to define the most effective process to follow in order to reach better water and energy consumption efficiency rates. An analytical approach that deals with the optimal sizing of a solar pumping system in direct current microgrid is proposed. This means the combination among a solar PVs system, a storage system, and a converter system that deals with the energy harvesting and charging the batteries used for supporting the pumping water system. The methodology has been validated by two real pumping systems of Zarautz distribution network (Basque Country region). It has been modeled and tested under four scenarios. The results of the simulations carried out have clearly demonstrated both the feasibility and the savings achieved, in terms of the environmental and economic assessment. This will help the water distribution managers to take more informed decisions and design cost-effective strategies while contributing with more sustainable cities.
关键词： solar photovoltaic (PV) grid off systems,Efficient water supply systems,model-based design methodology,water and energy nexus
更新于2025-09-11 14:15:04
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Mitigation Strategy for Duck Curve in High Photovoltaic Penetration Power System Using Concentrating Solar Power Station
摘要： Concentrating solar power (CSP) station is counted as a promising ?exible power supply when the net load power curve is duck-shaped in high photovoltaic (PV) penetration power system, which may lead to the serious phenomenon of PV curtailment and a large-capacity power shortage. This paper presents a mitigation strategy that replaces thermal power station with CSP station to participate in the optimal operation of power system for solving the duck-shaped net load power curve problem. The proposed strategy utilizes the dispatchability of thermal storage system (TSS) and the fast output regulation of unit in the CSP station. Simultaneously, considering the operation constraints of CSP station and network security constraints of the system, an optimization model is developed to minimize the overall cost including operation and penalty. The results obtained by nonlinear optimization function demonstrate that the replacement of concentrating solar power (CSP) station contributes to reducing the PV curtailment and lost load, while increasing the available equivalent slope for power balance. Thus, the proposed mitigation strategy can promote the penetration of PV generation and improve the ?exibility of power system.
关键词： regulation capability,concentrating solar power (CSP) station,duck curve,operation mode,photovoltaic (PV) penetration
更新于2025-09-11 14:15:04
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Co-Design of the PV Array and DC/AC Inverter for Maximizing the Energy Production in Grid-Connected Applications
摘要： Grid-connected Photovoltaic (PV) systems are currently developed by merging a PV array and a DC/AC inverter which are designed separately, without considering the impact of the PV array operational characteristics on the power losses of the DC/AC inverter. In this paper, a co-design technique is presented, where the optimal design parameters of the PV array and DC/AC inverter in a grid-connected PV system are calculated concurrently through a unified design process. The proposed technique enables to optimally match the PV array configuration and the DC/AC inverter structure. A study has been performed, where the PV systems synthesized by applying the proposed co-design technique are compared with PV system configurations comprising PV arrays and DC/AC inverters that have been designed separately, through distinct optimization processes based on various alternative optimization objectives. The design results for two installation sites, with different meteorological conditions during a year, demonstrated that only the proposed co-design optimization technique is capable to ensure the maximization of the annual energy production of the overall grid-connected PV system.
关键词： DC-AC power conversion,Optimization methods,Particle Swarm Optimization (PSO),Renewable Energy Sources (RES),Photovoltaic (PV) power systems
更新于2025-09-11 14:15:04