- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Kalman Filtering Technique for Rooftop-PV System under Abnormal Grid Conditions
摘要： This paper presents a robust extended complex Kalman Filter (RECKF) based control for multifunctional double stage grid-connected solar photovoltaic array (SPVA) system. The main contributions of presented paper, include: 1) real power generation from SPVA fulfils the requirement of the connected loads and it provides the surplus power to the distribution network, 2) it behaves as a distribution static compensator, which performs various functionalities such as grid currents balancing, harmonics mitigation, unity power factor operation, 3) it is capable to operate under polluted grid scenarios such as under voltage, over voltage and imbalanced grid voltages. The SPVA feed-forward term is incorporated in the control technique to enhance the dynamic response of the system. The real coded particle swarm optimization (RCPSO) based metaheuristic approach is used for optimal tuning of the DC link voltage PI (Proportional Integral) controller. Simulation results illustrate the effectiveness of presented control algorithm under variations in point of common coupling (PCC) voltage. Test results illustrate the behaviour of grid-connected SPVA system subjected to various perturbations such as under voltages, over voltages, distorted and imbalanced grid voltages etc. The THDs (Total Harmonic Distortions) of grid currents are achieved well within recommended limits.
关键词： Power quality,Renewable energy,Solar photovoltaic array,Harmonics,VSC,Optimization
更新于2025-09-23 15:23:52
-
Smart Energy Optimization Using Heuristic Algorithm in Smart Grid with Integration of Solar Energy Sources
摘要： Smart grid (SG) vision has come to incorporate various communication technologies, which facilitate residential users to adopt different scheduling schemes in order to manage energy usage with reduced carbon emission. In this work, we have proposed a residential load management mechanism with the incorporation of energy resources (RESs) i.e., solar energy. For this purpose, a real-time electricity price (RTP), energy demand, user preferences and renewable energy parameters are taken as an inputs and genetic algorithm (GA) has been used to manage and schedule residential load with the objective of cost, user discomfort, and peak-to-average ratio (PAR) reduction. Initially, RTP is used to reduce the energy consumption cost. However, to minimize the cost along with reducing the peaks, a combined pricing model, i.e., RTP with inclining block rate (IBR) has been used which incorporates user preferences and RES to optimally schedule load demand. User comfort and cost reduction are contradictory objectives, and difficult to maximize, simultaneously. Considering this trade-off, a combined pricing scheme is modelled in such a way that users are given priority to achieve their objective as per their requirements. To validate and analyze the performance of the proposed algorithm, we first propose mathematical models of all utilized loads, and then multi-objective optimization problem has been formulated. Furthermore, analytical results regarding the objective function and the associated constraints have also been provided to validate simulation results. Simulation results demonstrate a significant reduction in the energy cost along with the achievement of both grid stability in terms of reduced peak and high comfort.
关键词： inclining block rate,real-time pricing,renewable energy sources,appliances scheduling,demand response,genetic algorithm,demand side management
更新于2025-09-23 15:23:52
-
[IEEE 2018 International Conference on Advanced Science and Engineering (ICOASE) - Duhok (2018.10.9-2018.10.11)] 2018 International Conference on Advanced Science and Engineering (ICOASE) - Manufacturing Procedure of a Hybrid Design of Solar Collector (Sterilization and Water Heating) By Solar and Electrical Energy
摘要： The purpose of the research is to design a hybrid solar collector, called (L1). This Collector operates by solar energy during daylight hours, which is approximately (12) hours, the work of the solar collector (L1) continues during night by using electrical power. Solar collector was tested during the period of December - 2017 to May – 2018.The results were excellent where it’s records high temperature during the period from March - May 2018. Temperature recorded more than 100 Co. The outlet water from the solar collector (L1) was sterilized due to the high heating degree of the water, it reached boiling degree. The design of (L1) is suitable for a lot of environment or weather conditions, because it depends on the collection of the solar radiation in a small surface area; in addition, it works in low electrical power. Tests for (L1) were conducted in Basra city, southern Iraq, on latitude 30.5oN and longitude 47.8oE. Manufacturing of this solar collector is very easy with low cost. It can be used it in houses, scientific and health institutions.
关键词： Hybrid,solar collector,sterilization,Water heating,Renewable energy,Solar energy
更新于2025-09-23 15:22:29
-
[IEEE 2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) - Beirut, Lebanon (2018.11.1-2018.11.2)] 2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) - The first BIPV plant in Lebanon: performance analysis of hybrid configuration with diesel generator
摘要： Building integrated photovoltaic (BIPV) system is a technology where radiant energy and heat are treated. This system helps in developing the building to become energy producer instead of energy consumer. It can function as buildings envelop and supply electric power for buildings. In this paper, a pilot BIPV system is studied with respect to aesthetical and technical requirements, and installed on the fa?ade of an office building in Beirut. The aim of the research is to test the energy performance of the BIPV system through modelling and experimental investigation in hybrid configuration with building back-up diesel generators – a Lebanese particularity due to utility shortage in power supply. This first BIPV project in Lebanon has a capacity of 30 kWp. It has a special architectural integration benefiting from available solar energy estimated to be around 2000 kWh/m2/ year to produce electric power, and reduces the consumption of diesel generators that runs the building during working hours.
关键词： renewable energy,case study,photovoltaic system,building integration,BIPV,solar energy
更新于2025-09-23 15:22:29
-
Energy Harvesting Wireless Communications || Energy Harvesting in Next-Generation Cellular Networks
摘要： To handle the explosive growth of mobile traffic, next-generation cellular network will deploy more and more small-cell BSs (SBSs) in addition to the macro base stations (MBSs). The resultant network, namely, the heterogeneous network (HetNet), provides capacity boost on one hand but brings more energy consumption with the densely deployed SBSs on the other hand. In fact, due to the dynamics of wireless traffic load, many BSs are lightly loaded but almost work at their peak power, due to the elements like power amplifiers and supporting circuits. Unfortunately, these BSs can hardly be turned off for the coverage guarantee. To solve this problem, a new separation architecture called hyper-cellular network (HCN) is proposed, and the main idea is to decouple the function of control signaling from the function of data transmission, such that the data coverage can match the traffic dynamics in a more elastic way. Under HCN, SBSs are only utilized for high data rate transmission, whereas MBSs guarantee the network coverage and provide low data rate service. Therefore, SBSs can be turned off to save energy without worrying about the user coverage. To this end, its nature is to further power SBSs with renewable energy to save more grid power consumption. However, due to the randomness of renewable energy arrivals, it is challenging to manage wireless resource and the on-off states of energy harvesting (EH) BSs. It can be more challenging in HCN. First, diverse types of SBSs may be equipped with different kinds of energy sources, making the energy arrival statistically nonuniform over the space. In addition, the traffic load is nonevenly distributed across different base station (BS) tiers and also not in accordance with the energy arrivals over the spatial and temporal domains. To this end, on top of the techniques introduced in Chapter 4, in HCN the key to match the random energy arrival with the traffic load variation over time and space is to jointly optimize the working states of SBSs and the user traffic offloading. Although traffic offloading has been extensively studied in grid-powered cellular networks, the conventional offloading methods cannot be directly applied as they do not consider the energy states of BSs. Accordingly, energy-aware traffic offloading schemes are needed, and some energy-aware traffic offloading schemes have been proposed for single-tier homogeneous networks and two-tier HCN with one renewable energy-powered SBS, respectively. In the first part of the chapter, we will illustrate how to coordinate the on-off switching of SBSs with inter-tier traffic offloading, under the scenario with different types of SBSs, powered by various energy sources. The goal is to minimize the on-grid power consumption of the whole HCN system while satisfying the quality of service (QoS) requirements of users. Another emerging technology of next-generation cellular networks is to exploit edge caching with proactive services, like push. While the initial motivation of proactive caching and push is to reduce the duplicated content transmissions, and thus reduce the core network traffic load as well as the content delivery delay, it is also beneficial to address the mismatch between the energy and traffic in renewable energy-powered SBSs. Specifically, the contents can be cached at the storage of SBSs and then pushed to users earlier than the actual demands when there is sufficient harvested energy. The users can successfully get the contents when they actually require it even if at that time the SBS does not have enough energy for transmission. Consequently, the energy waste due to the battery overflow can be avoided as the harvested energy can be used effectively and timely. It can be viewed as transferring the harvested energy along with the timeline to the future to match the random energy arrival with the traffic needs. In the second part of this chapter, we will demonstrate the concept of integrating proactive service provisioning with EH HCN and provide a detailed study on the optimal policy design for content push from an EH-based SBS.
关键词： push,cellular networks,renewable energy,proactive caching,traffic offloading,quality of service,small-cell base stations,Markov decision process,Energy harvesting,hyper-cellular network
更新于2025-09-23 15:22:29
-
[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
-
Wind Speed Extrapolation using Machine Learning Methods and LiDAR Measurements
摘要： Accurate wind energy assessments require wind speed (WS) at the hub height. The cost of WS measurements grows enormously with height. This paper utilizes deep neural network (DNN) algorithm for the extrapolation of the WS to higher heights based on measured values at lower heights. LiDAR measurements at lower heights are used for training the system and at higher heights for performance analysis. These measurements are made at 10, 20, . . . , and 120 m heights. First, the measured WS values at 10–40 m were used to extrapolate values up to 120 m. In the second scenario, the WS at 10–50 m were used to extrapolate values up to 120 m. This continued until the last scenario, in which the WS at 10–100 m were used to estimate values at 110 and 120 m. A relationship between heights of measurements and the accuracy of the WS estimation at hub height is presented. The WS extrapolated using the present approach is compared with the measured values and with local wind shear exponent (LWSE)-based extrapolated WS. Furthermore, to analyze the performance of the DNN relative to other machine learning methods, we compared its performance with that of classical feedforward artificial neural networks trained using a genetic algorithm to find the initial weights and the Levemberg–Marquardt (LM) method (GANN) for training. The mean absolute percent error between measured and extrapolated WS at height 120 m based on measurements between 10–50 m using DNN, GANN, and LWSE are 9.65%, 12.77%, and 9.79%, respectively.
关键词： wind speed profile,renewable energy,machine learning,Extrapolation
更新于2025-09-23 15:22:29
-
[IEEE 2018 Seventh Balkan Conference on Lighting (BalkanLight) - Varna, Bulgaria (2018.9.20-2018.9.22)] 2018 Seventh Balkan Conference on Lighting (BalkanLight) - Renewable energy sources and lighting
摘要： Photovoltaic system is one of the promising renewable energy technologies. In this paper lighting system based on renewable energy sources is developed and analysed. The proposed system in the paper is designed to power lighting in common areas of residential buildings. A block diagram and system unites are presented in paper. Calculations of the costs have been presented.
关键词： Renewable energy sources,LED,lighting
更新于2025-09-23 15:22:29
-
A Short Term Day-Ahead Solar Radiation Prediction Using Machine Learning Techniques
摘要： The task of solar power forecasting becomes vital to ensure grid constancy and to enable an optimal unit commitment and cost-effective dispatch. Each year latest techniques and approaches appear to increase the exactitude of models with the important goal of reducing uncertainty in the predictions. The aim of the paper is to compile a big part of the knowledge about solar power forcing, to focus on the most recent advancements and future trends. Firstly, the inspiration to achieve an accurate forecast is presented with the analysis of the economic implications it may have. To address the problem superlative prediction models are rummaged by us using machine learning techniques. We make a comparison between multiple regression techniques for creating prediction models, along with linear least squares and support vector machines using multiple kernel functions. Predictions are analyzed by us in our experiments for the day ahead solar radiation data and it is shown that a machine learning approach yields feasible results for short-term solar prediction. The proposed model achieves a root mean square error improvement of around 29% compared to others proposed model except one.
关键词： Forecasting,SVR,Renewable energy,Short-term,Machine learning
更新于2025-09-23 15:22:29
-
Breaking the Stagnant Spell: How Blockchain is Disrupting the Solar Energy Industry
摘要： The energy sector has experienced insignificant growth over the past few decades, despite the global shift towards renewable resources. As Blockchain technology and the IoT begin to disrupt multiple industries, utilities and individuals are both presented with the opportunity to capitalize on the fastest‐growing energy source. Therefore, the purpose of this paper is to investigate the current pain points facing the solar power sector and discuss existing blockchain‐based solutions to mitigate said issues.
关键词： Disrupt,IoT,Blockchain,Renewable Energy,Solar Grid,PV
更新于2025-09-23 15:22:29