- 标题
- 摘要
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- 实验方案
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Numerical simulation analysis of the impact of photovoltaic systems and energy storage technologies on centralised generation: a case study for Australia
摘要： In response to climate change concerns, most of the industrialised countries have committed in recent years to increase their share of Renewable Energy Sources to reduce Greenhouse Gas emissions. Therefore, the rapid deployment of small-scale photovoltaic (PV) systems, mainly in residential applications, is starting to represent a considerable portion of the available electrical power generation and, for this reason, the stochastic and intermittent nature of these systems are affecting the operation of centralised generation (CG) resources. Network operators are constantly changing their approach to both short-term and long-term forecasting activities due to the higher complexity of the scenario in which more and more stakeholders have active roles in the network. An increasing number of customers must be treated as prosumers and no longer only as consumers. In this context, storage technologies are considered the suitable solution. These can be necessary in order to solve and fill the problems of the renewable distributed sources are introducing in the management of the network infrastructure. The aim of this work was to create a model in order to evaluate the impact of power generation considering PV systems in Australia along with a model to simulate Battery Energy Storage Systems (BESSs) and Electric Vehicles future contributions using MATLAB. The methodology used to develop these models was based on statistical assumptions concerning the available details about PV systems installed and current storage technologies. It has been shown that in all the scenarios analysed, the future adoption of rooftop PV panels and impact on the CG is incredibly higher than the uptake of energy storage systems. Hence, the influence on the demand will be driven by the behaviour of the PV systems. Only in the hypothetical scenario in which the installations of BESSs will assume comparable levels of the PV systems, it will be possible to better manage the centralised resources.
关键词： Distributed generation (DG),Photovoltaic system (PV),Electric vehicles (EVs),Battery energy storage system (BESS),Centralised generation (CG)
更新于2025-09-19 17:13:59
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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) - 567 ns Pulses from Passively Q-Switched Er:YLF Laser Generating at 2.81 ??m
摘要： One of the main challenges of integrating distributed generation into the power grid is islanding, which occurs when a disconnected power line is adversely energized by a local distributed generation source. If islanding is not quickly detected, it can present serious safety and hazardous conditions. Conventional passive detection techniques used today are entirely dependent on the parameters of the power system, which under certain operating conditions may fail to detect islanding. In this paper, a novel and efficient passive islanding detection technique for grid-connected photovoltaic-based inverters is presented. In this technique, the ripple content of the inverter output voltage at the point of common coupling is monitored for deviations using time-domain spectral analysis. Islanding is then detected whenever the ripple spectral content exceeds a preset threshold level for a certain period of time. The performance of this technique was extensively tested and quantified under a wide range of operating conditions. It was determined that the proposed technique did not exhibit any non-detection zone and was able to detect all types of islanding cases within 300 ms of the allowed delay time. Furthermore, the proposed technique was found to be robust and inherently immune to other degrading factors, since it is relatively independent of system parameters, power system scaling, or the number of distributed generation sources present within the islanding zone.
关键词： passive islanding detection,Anti-islanding,smart grid,spectral analysis,distributed generation
更新于2025-09-19 17:13:59
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[IEEE 2019 International Conference on Advanced Electrical Engineering (ICAEE) - Algiers, Algeria (2019.11.19-2019.11.21)] 2019 International Conference on Advanced Electrical Engineering (ICAEE) - Power efficiency enhancement in kesterite photovoltaic device by implementation of periodic grating nanowires
摘要： This paper describes operating results with vehicle–solar-grid integration at the GridSTAR facility of Pennsylvania State University. A Ford F-150 converted to a plug-in hybrid electric vehicle was interfaced with the grid via an electric vehicle photovoltaic (EVPV) installation. The EVPV used the vehicle battery to provide frequency regulation ancillary service to the grid overnight when the solar energy of a hypothetical solar array was less valuable than the ancillary service, and the vehicle battery and the solar inverter were otherwise underutilized. The objective is to create an incentive for electric vehicle and solar PV ownership by fully utilizing the vehicle battery and the PV inverter net metering connection to support the grid and earn revenue. The test plan simulated operation of a school bus, which appears to be a particularly suitable application of this technology. The results showed that the vehicle could provide frequency regulation service that meets the technical requirements for revenue generation.
关键词： energy storage,electric vehicles,grid ancillary services,Distributed generation
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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[IEEE 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Rome, Italy (2019.6.17-2019.6.20)] 2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring) - Sector Metalens for Sharp Focusing of Laser Light
摘要： The use of distributed generation and demand-response (DR) programs is needed for improving business models, namely concerning the remuneration of these resources in the context of smart grids. In this paper, a methodology is proposed in which a virtual power player aggregates several small-sized resources, including consumers participating in DR programs. The global operation costs resulting from the resource scheduling are minimized. After scheduling the resources in several operation scenarios, clustering tools are applied in order to obtain distinct resources’ groups. The remuneration structure that better fits the aggregator goals is then determined. Two clustering algorithms are compared: 1) hierarchical; and 2) fuzzy c-means clustering. The remuneration of small resources and consumers that are aggregated is made considering the maximum tariff in each group. The implemented case study considers 2592 operation scenarios based on a real Portuguese distribution network with 548 distributed generators and 20 310 consumers.
关键词： demand response (DR) programs,Clustering,distributed generation (DG),smart grids
更新于2025-09-19 17:13:59
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Application of static network reconfiguration to minimize power consumption from grid for photovoltaic systems
摘要： Photovoltaic (PV) is one of the distributed generation growing worldwide, a proper method to increase the hosting capacity of PV with low cost is becoming an interesting topic. This paper researched how the total grid purchase of power systems can be decreased by applying static network reconfiguration. The problem is formulated as a load flow which aims to minimize the total grid purchase under thermal and voltage constraints. The effectiveness of the approach and the significant benefits obtained by static reconfiguration options in term of total grid purchase are demonstrated using a modified benchmark distribution system. It was found that applying static network reconfiguration to this specific test system with two PVs gave minimum power consumption from grid.
关键词： power consumption,Photovoltaic systems,distributed generation,static network reconfiguration,grid purchase
更新于2025-09-19 17:13:59
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Non-communication and artificial neural network based photovoltaic monitoring using the existing impedance relay
摘要： This paper deals with developing a new technique based on artificial neural networks (ANN) for monitoring of the remote grid connected photovoltaic (PV) plant. An ANN utilizes the existing impedance relays’ measurements located at switchgear panel to monitor the PV power generated. Also, the proposed technique is able to monitor the power consumed by the load at the distribution side. The simple proposed technique can monitor and decide the reverse power flow in the distribution feeder. Furthermore, the proposed method identifies an index which diagnosis the PV plant performance. The estimated power from the ANN is compared with the PV generation from real time recorded weather data at the distribution site, and the performance index is obtained accordingly. This technique does not employ any communication infrastructure as usually used in the classical monitoring techniques available in the literature. This advantage makes the proposed scheme very highly attractive from the economical point of view.
关键词： Distance relay,Non-communication monitoring,Photovoltaic distributed generation,Photovoltaic array,Artificial neural network
更新于2025-09-19 17:13:59
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[IEEE 2018 Australasian Universities Power Engineering Conference (AUPEC) - Auckland, New Zealand (2018.11.27-2018.11.30)] 2018 Australasian Universities Power Engineering Conference (AUPEC) - Location and Sizing of Distributed Generation Photovoltaic (DGPV) via Multi-Objective Pareto Algorithm
摘要： This paper proposes a new multi-objective technique to solve the problem of optimal location and sizing of Distributed Generation Photovoltaic system (DGPV) transmission network. The technique: Multi-objective Chaotic Mutation Immune Evolutionary Programming (MOCMIEP) was developed based on Pareto optimality to solve the DGPV location and sizing problem. The proposed technique determines the optimal location and sizing of DGPV, therefore will minimize the multiple objective functions, namely the active power losses and Fast Voltage Stability Index (FVSI) simultaneously. The method was tested on IEEE 118-Bus Reliability Test System (RTS). The results revealed that the proposed technique had the ability to acquire a set of Pareto solutions for the decision maker to choose depending on the system priorities.
关键词： Pareto optimal,Multi-objective,optimal,Distributed Generation Photovoltaic (DGPV),Fast Voltage Stability Index (FVSI)
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Local volt/VAr Control in Distribution Networks with Photovoltaic Generators
摘要： The Distributed Generation (DG) is characterized by the production of electricity connected to the distribution network or to the local network consumers, using renewable or non-renewable resources, technology. Excessive use of DG systems connected to the distribution network may regulation, compromising the system control and protection devices and the reliability, due to the voltage increase in the DG connection point. In this context, this work presents an analysis of frequency that performs a photovoltaic data transmission interface with an electric grid, as a new possibility of voltage control and reactive power (volt/VAr) in sets with the usual instruments of control used in electricity distribution networks. The analysis consists of performing the volt/VAr control from the frequency inverters in low or medium voltage networks, where the inverter assists in voltage regulation through the insertion and/or absorption of reactive power in the distribution system. In order to demonstrate the proposed methodology application, tests were performed on a standard IEEE 13 node in the OpenDSS? software, comparing the voltage profiles and position adjustment of voltage control for a given DG penetration index and different inverter operating conditions.
关键词： OpenDSS?,Distributed generation,Voltage Regulation,volt/VAr control
更新于2025-09-16 10:30:52
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[IEEE 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Gramado, Brazil (2019.9.15-2019.9.18)] 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America) - Analysis of the attractiveness of photovoltaic microgeneration as a function of geographic and economic parameters
摘要： When it comes to distributed microgeration, photovoltaic energy has become a long-term investment. Brazil has an excellent location for the exploration of this energy and has shown an exponential growth in recent years. In addition, the increase in electricity tariffs and legal security, further favor this growth. This article presents an analysis of the economic attractiveness of the distributed photovoltaic microgeneration as a function of geographic location, taking into account the influence of regional costs, taxes, incentives and availability of the primary source. As a case study the 27 capitals of Brazil are analyzed and the merit figures of the financial analysis are used. being, internal rate of return, net present value and payback. The result is a map of attractiveness that can efficiently assist the investor in action planning, with risk reduction and better indicators of economies of scale.
关键词： distributed generation,economic viability,photovoltaic and payback
更新于2025-09-16 10:30:52