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[IEEE 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Daejeon, Korea (South) (2019.7.28-2019.8.1)] 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Room-temperature bonding of organic films using ultrathin Au intermediate layers for organic integrated optical devices
摘要： Powering cellular base stations with renewable energy are one of the long-term strategies for achieving green networks and reducing their operational costs. As an energy provider, the power grid is evolving into a smarter one, which allows more energy-efficient cellular networks and enables cooperation and interaction with the smart grid. On one hand, cellular networks can use harvested renewable energy and on-site energy storage to reduce their energy costs. On the other hand, the price of electricity depends on the energy load, which will eventually contribute to decreasing the peak consumption and global energy cost. In this paper, we propose new integration architecture for renewable energy-powered cellular networks and the smart grid. The proposed architecture is designed based on the classification and the analysis of the existing proposals and the requirements of the smart grid, renewable energy systems, and cellular networks.
关键词： energy efficiency,integration architecture,Cellular networks,smart grid,renewable energy
更新于2025-09-16 10:30:52
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[IEEE 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Paris, France (2019.9.1-2019.9.6)] 2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) - Flexible control of broadband terahertz radiations from laser plasmas
摘要： This paper presents a novel energy-management method for a microgrid that includes renewable energy, diesel generators, battery storage, and various loads. We assume that the microgrid takes part in a pool market and responds actively to the electricity price to maximize its pro?t by scheduling its controllable resources. To address various uncertainties, a risk-constrained scenario-based stochastic programming framework is proposed using the conditional value at risk method. The designed model is solved by two levels of stochastic optimization methods. One level of optimization is to submit optimal hourly bids to the day-ahead market under the forecast data. The other level of optimization is to determine the optimal scheduling using the scenario-based stochastic data of the uncertain resources. The proposed energy management system is not only bene?cial for the microgrid and customers, but also applies the microgrid aggregator and virtual power plant. The results are shown to prove the validity of the proposed framework.
关键词： microgrid,Controllable load,risk management,smart grid,stochastic optimization,electricity market,renewable energy,energy management
更新于2025-09-16 10:30:52
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Optimal Scheduling of Residential Home Appliances by Considering Energy Storage and Stochastically Modelled Photovoltaics in a Grid Exchange Environment Using Hybrid Grey Wolf Genetic Algorithm Optimizer
摘要： The transformation of a conventional power system to a smart grid has been underway over the last few decades. A smart grid provides opportunities to integrate smart homes with renewable energy resources (RERs). Moreover, it encourages the residential consumers to regulate their home energy consumption in an effective way that suits their lifestyle and it also helps to preserve the environment. Keeping in mind the techno-economic reasons for household energy management, active participation of consumers in grid operations is necessary for peak reduction, valley filling, strategic load conservation, and growth. In this context, this paper presents an efficient home energy management system (HEMS) for consumer appliance scheduling in the presence of an energy storage system and photovoltaic generation with the intention to reduce the energy consumption cost determined by the service provider. To study the benefits of a home-to-grid (H2G) energy exchange in HEMS, photovoltaic generation is stochastically modelled by considering an energy storage system. The prime consideration of this paper is to propose a hybrid optimization approach based on heuristic techniques, grey wolf optimization, and a genetic algorithm termed a hybrid grey wolf genetic algorithm to model HEMS for residential consumers with the objectives to reduce energy consumption cost and the peak-to-average ratio. The effectiveness of the proposed scheme is validated through simulations performed for a residential consumer with several domestic appliances and their scheduling preferences by considering real-time pricing and critical peak-pricing tariff signals. Results related to the reduction in the peak-to-average ratio and energy cost demonstrate that the proposed hybrid optimization technique performs well in comparison with different meta-heuristic techniques available in the literature. The findings of the proposed methodology can further be used to calculate the impact of different demand response signals on the operation and reliability of a power system.
关键词： energy storage system,home-to-grid energy exchange,hybrid grey wolf genetic algorithm,home energy management system,photovoltaic generation and smart grid
更新于2025-09-12 10:27:22
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A case study of photovoltaic power generation and its future ramp possibility for Tokyo electric power area
摘要： A case study of rapid variation (ramp event) of photovoltaic (PV) power generation on 18 April 2016 for the Tokyo Electric Power Company (called “TEPCO”) power area is considered in this study. PV system installation in the TEPCO area has been increasing (approximately 10 GW PV system capacity). Quasi real-time monitoring of PV power generation by using satellite-estimated solar radiation is performed. Under assumptions of future PV system installation scenarios (from 21.78 GW to 85.76 GW in the TEPCO area), temporal and spatial variations of PV power generation are estimated.
关键词： Wide Area Monitoring,Smart Grid Technologies,Protection and Control
更新于2025-09-12 10:27:22
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Robust Profit Maximization in Multiperiod Energy Markets with Interval Prediction of Photovoltaics
摘要： In this paper, we formulate an optimal bidding problem in a multiperiod electricity market with the consideration of the uncertain PV output. Based on the proposed strategy, the aggregator of interest operates his dispatchable assets to pursue the largest pro?t by submitting one optimal prosumption curve to the day-ahead market. To deal with a non-convexity issue stemming from the robust optimization problem, we reformulate the problem as its Lagrange dual counterpart. Then, we describe the uncertain range of the PV output by one polyhedral set, with which a new decision variable is introduced. We implement a constraints-generation method to solve the newly formulated problem by splitting it into another two subproblems. Based on one iterative scheme, the two subproblems are solved in sequence, and the solution of the robust optimization problem is obtained when the optimal results of the two subproblems are equal. In the numerical simulation, the pro?ts under di?erent PV lower bounds are presented.
关键词： Smart grid,robust optimization,polyhedral set,optimal bidding,Lagrange duality
更新于2025-09-12 10:27:22
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Sensitivity analysis and optimization of a compressed air energy storage (CAES) system powered by a photovoltaic plant to supply a building
摘要： One of the handicaps of the large-scale integration of solar energy is due to its variability and its intermittency. The main way to overcome this issue is the energy storage technology. Knowing the high cost of batteries and their impact on the environment, we simulate a storage system based on compressed air and acting as a battery system. The CAES consists in storing the air at a high pressure in a tank during the period when the energy source is abundant, i.e., cheap, or when the energy demand is low. The compressed air is later expanded through an air turbine which generates electricity during the high demand periods, i.e. when the energy source becomes very expensive for instance. This system could be used for decentralized electricity supply or in an area with no electric grid. In order to evaluate the feasibility of a Compressed Air Energy Storage system coupled to a photovoltaic plant and a building that represents a reduced power demand, a numerical model that reflects the instant behaviour has been built. The system is composed of a photovoltaic power plant, an air compression system, a storage vessel, an expansion module, a power grid and a building. The inputs used are, on the one hand, the climate data such as ambient temperature and the global solar irradiation and, on the other hand, the load curve of a building or of the group of buildings, which has to be supplied by electricity. The overall system optimization has then been performed after having done a sensitivity analysis of the key parameters. This optimization allows us to find the most suitable size for each component of the system: compressor, tank size and photovoltaic area.
关键词： Smart grid,Energy storage,intermittency,photovoltaic,Renewable energy,Compressed air
更新于2025-09-12 10:27:22
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Coordinative Low-Voltage-Ride-Through Control for the Wind-Photovoltaic Hybrid Generation System
摘要： The wind-photovoltaic (PV) hybrid renewable energy system (HRES), which consists of permanent magnet synchronous generators (PMSG) and PV arrays, is becoming a cost-effective electric source for powering islanded areas. However, high penetration of renewables makes the power system vulnerable to transient voltage faults, which undermines the stability of the future inverter-dominated grid. To address this issue, a coordinative low-voltage-ride-through (LVRT) control scheme is proposed for the operation of the wind-PV HRES in this paper. This control scheme will exploit the maximum energy inertia of the HRES for incorporating the power imbalance between the faulted grid and the renewable generators. An optimization problem is formulated to maximize the renewable energy harvesting within the operational and environmental limitations. To cope with different working conditions, four control processes are coordinated in an optimized manner during the LVRT period, namely (i) Adaptive DC-link voltage control, (ii) PMSG rotating speed control, (iii) PV energy curtailment control, and (iv) Blade pitch angle control. Besides, this control scheme applies a direct output control that can generate stable and accurate current as per grid code requirements. The results of the hardware-in-the-loop (HIL) experiment and the MATLAB-Simulink simulation are provided to verify the effectiveness of the proposed control scheme.
关键词： power system faults,Hybrid renewable energy system,low-voltage-ride-through,smart grid
更新于2025-09-12 10:27:22
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Grid Connected-Photovoltaic System (GC-PVS): Issues and Challenges
摘要： Smart grid is the key technology for an effective utilization of the Renewable Energy Sources (RES). The utilization of RES for the generation of electricity is increasingly gaining interest of researchers during the last decades. The main reason behind this is global incentivization, the increasing price of petroleum products, climate issues and deregulations in the energy market. As the Government of India, (MNRE i.e. Ministry of New & Renewable Energy) is targeting to generate 20000 MW power through grid-connected solar PVS by the year 2022 therefore, the main focus in this paper has been presented on power generation through grid-connected PVS. The emerging smart grid technology has enabled the grid-connected PVS as an evolving process in today’s world for electrical power generation. However, apart from so many advantages, there are several issues and challenges associated with the integration of PVS to the electric utility grid hence, the investigation to find out available possible solutions to overcome these issues becomes essential in order to enhance the performance of grid-connected PVS. The most severe constraint associated with this emerging technology is it high penetration level. If during low load conditions there is some mismatch found between the real power output and the load profile characteristics of PVS then it may result into large reverse power flow, high power losses or severe voltage violation. In this paper, several issues and challenges associated with the integration of solar PVS with the electric utility grid are presented.
关键词： Renewable Energy Sources,Grid Connected-Photovoltaic System,harmonics,voltage stability,RES,frequency stability,smart grid,GC-PVS
更新于2025-09-11 14:15:04
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[IEEE 2017 IEEE 44th Photovoltaic Specialists Conference (PVSC) - Washington, DC (2017.6.25-2017.6.30)] 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC) - Scalability of the Vector Quantization Approach for Fast QSTS Simulation
摘要： Quasi-static time-series (QSTS) provides the necessary simulation fidelity on the impact that new energy resources would have on a specific distribution system feeder. However, this simulation can often take 10-120 hours for a single study, on traditional computers. The vector quantization approach proposed in [1] demonstrated very attractive computational time reduction for feeders with limited number of input time-series profiles and few distribution system voltage control elements. In this work, we expend on this algorithm and address this issue to model feeders of any complexity while maintaining a high computational time reduction. We demonstrate a 98.7% reduction on a real distribution system feeder with 2969-bus, 3 load/PV profiles, and 8 voltage regulating elements.
关键词： power system simulation,power system planning,photovoltaic systems,smart grid
更新于2025-09-11 14:15:04
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Intelligent approach-based hybrid control algorithm for integration of solar photovoltaic system in smart grid environment
摘要： Integration of solar PV as a distributed generator (DG) require efficient and coordinated control measures for the proper synchronization. In this paper, a hybrid control algorithm for single stage solar photovoltaic (PV) system integrated with low voltage (LV)/medium voltage (MV) grid is proposed. The hybrid algorithm utilizes I cos ? technique and quasi-Newton back-propagation (QNBP) neural network (NN). The main contributions of the present work are: i) support the utility grid by feeding power and connected loads, ii) provide harmonics elimination, reactive power compensation, load balancing, iii) also works in power factor correction (PFC) and zero voltage regulation modes, iv) provides power quality improvement. The proposed control of grid tied PV system provides very fast response during static and dynamic conditions. The obtained results are compared with other well-established algorithms available in the literature. The comparison of the proposed algorithm is done on the basis of various parameters such as DC voltage undershoot and overshoot, settling time and THD in grid currents. The developed system is demonstrated in MATLAB/SIMULINK platform. Using the proposed algorithms there is significant improvement of 1.1% in total harmonic distortion (THD) of source current. The results of proposed controllers are experimentally validated on a developed laboratory protype.
关键词： hybrid control algorithm,power quality improvement,quasi-Newton back-propagation neural network,smart grid,solar photovoltaic system
更新于2025-09-11 14:15:04