- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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[IEEE 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - Paris, France (2018.10.14-2018.10.17)] 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) - A Study on DC Microgrids Voltages based on Photovoltaic and Fuel Cell Power Generators
摘要： DC microgrid based on photovoltaic (PV, 500 WP) and fuel cell (FC, 1 kW) power generators have been designed to operate DC loads at different voltage levels (24 V, 48 V and 110 V). The voltage level in a DC microgrid decides the system efficiency, voltage regulation and the total cost. The system efficiency is shown to depend on the power conversion mode (DC-DC converter) efficiency and ohmic loss (in connecting cables). DC loads used vary from 250 W to 1000 W and according the cable sizing is required to be changed to improve the voltage regulation and to reduce the cable loss. The buck -boost DC-DC converter is used in 24/48 V microgrids, while boost converter is required for 110 V microgrid. The buck-boost converter efficiency is ≈ 85% and the boost converter provides efficiency ≈ 95%. It is shown that 110 V DC voltage level gives optimum performance for low power DC microgrid in comparison with 24 V or 48 V.
关键词： DC Microgrid,Buck-Boost DC-DC converter,Photovoltaics,Fuel cell
更新于2025-09-23 15:23:52
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[IEEE 2018 53rd International Universities Power Engineering Conference (UPEC) - Glasgow, United Kingdom (2018.9.4-2018.9.7)] 2018 53rd International Universities Power Engineering Conference (UPEC) - Feasibility Study for a Solar PV Microgrid in Malawi
摘要： Energy is an enabler for development but electricity access is still unobtainable for over 1 million people in developing countries. In Malawi, less than 12% of the population have access to grid electricity and in rural areas this is as low as 1%. Solar microgrids are emerging as a cost competitive, low carbon and reliable method for offering energy access in developing countries. This paper provides a summary of the process and key findings in assessing technical and financial feasibility of a solar microgrid in Malawi, including system design definition, business model discussion and sensitivity analysis of key parameters through techno-economic modelling. The novel approach developed utilises qualitative and quantitative information gathering and assessment in an iterative way to design a robust energy access solution in the most viable local location. The results show that the upper limit of the ‘expected energy use’ can be up to 5 times higher than the designed energy limit. Higher demand grids are shown to present c.20% lower levelised cost of energy for the cases considered and conversely, the ‘low demand’ grid case is shown to have c.48% higher levelised cost of energy. This represents a significant range of uncertainly in energy use prediction, which if not treated properly will adversely affect both energy access and microgrid business development. The research presented in this paper will address these challenges in the context of Malawi but is broadly applicable to other similar locations.
关键词： Microgrid,Solar PV,Malawi,Rural Electrification
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Aalborg, Denmark (2018.10.29-2018.10.31)] 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Distributed Cooperative Energy Management in Smart Microgrids with Solar Energy Prediction
摘要： Smart Microgrid (SMG), integrated with renewable energy, energy storage system and advanced bidirectional communication network, has been envisioned to improve efficiency and reliability of power delivery. However, the stochastic nature of renewable energy and privacy concerns due to intensive bidirectional data exchange make the traditional energy management system (EMS) perform poorly. In order to improve operational efficiency and customers’ satisfaction, we propose a distributed cooperative energy management system (DCEMS). We adopt recurrent neural network with long short-term memory to predict the solar energy generation with high accuracy. We then solve the underlying economic dispatch problem with distributed scalable Alternating Direction Method of Multipliers (ADMM) algorithm to avoid single point of failure problem and preserve customers’ privacy. In the first stage, each SMG optimizes its operation decision vector in a centralized manner based on one-day ahead solar energy generation prediction. In the second stage, all SMGs share their energy exchange information with directly connected neighboring SMGs to cooperatively optimize the global operation cost. The proposed DCEMS is deployed in our distributed SMGs emulation platform and its performance is compared with other approaches. The results show that the proposed DCEMS outperforms heuristic rule-based EMS by more than 30%. It can also protect customers’ privacy and avoid single point of failure without degrading performance too much compared to centralized EMS.
关键词： Information prediction,Microgrid emulation platform,Distributed algorithms,Energy management system,Demand-side management
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Industry Applications Society Annual Meeting (IAS) - Portland, OR, USA (2018.9.23-2018.9.27)] 2018 IEEE Industry Applications Society Annual Meeting (IAS) - Design and Control of Solar PV-Pico Hydro Based Microgrid
摘要： This study deals with a solar photovoltaic (PV) and pico-hydro based microgrid having a battery energy storage (BES), which transfers uninterruptable power across voltage source converter (VSC) at the common coupling point (CCP). Only one VSC in this system, has the competency to eradicate the power quality problems, compensation of harmonics current, regulation of frequency and voltage under varying loads. A battery energy storage (BES), which is coupled directly to the DC bus, manages the power flow under the changes in loading and variable power generation. A synchronous reluctance generator (SYRG) for pico-hydro generation is used because of its reliability, and cost-effectiveness than other such as permanent magnet brushless generators synchronous generator. The SRFT (Synchronous Reference Frame Theory) control is used to control the system frequency and voltage at PCC. The proposed system uses an INC (Incremental Conductance) technique for extraction of maximum power from a PV array. The smooth performance of the microgrid under various operating conditions, is demonstrated through experimental results, which meet power quality requirement of the IEEE 519 standard.
关键词： Pico-Hydro generation,BES (Battery Energy Storage),Microgrid,SyRG (Synchronous Reluctance Generator),PV (Photovoltaic),Power Quality
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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[IEEE 2018 IEEE PES/IAS PowerAfrica - Cape Town (2018.6.28-2018.6.29)] 2018 IEEE PES/IAS PowerAfrica - Agent Based System for Improved Control and Monitoring of a Solar Driven DC Microgrid
摘要： Control and monitoring processes in the electric field are fundamental aspects in smart grid. Different attributes, systems and mechanisms are required in handling activities from transmission, distribution and consumer side of the electrical network based on advanced technologies. In Tanzania, there still exists manual operations on distribution side and very little on the transmission side. Agent based distributed system has been seen to work successfully which involves the use of artificial intelligence and autonomous actions during the operations and controlling activities. Therefore, in this manner, the generated model based on REPAST simulation tool for solar driven DC microgrid will be achieved to show features of control and monitoring the grid including load shedding technique and demand responses based on pricing. Furthermore, the design of the prototype based on the stated features will be implemented. The advantages and impact of the demonstration can be deployed and used in any community for the application of any renewable energy systems.
关键词： demand response,microgrid,smart grid,Agent based systems
更新于2025-09-23 15:21:21
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Optimal location identification for aggregated charging of electric vehicles in solar photovoltaic powered microgrids with reduced distribution losses
摘要： The battery-powered electric vehicle finds an alternative for fossil fuel-based vehicles in the transportation sector. The charge-discharge power profiles of the battery storage systems (BSS) contribute toward distribution losses, which can be minimized by proper scheduling. Such scheduling gives better results if the charging stations are optimally placed in the solar photovoltaic (PV) powered microgrid. This paper proposes a methodology to identify the optimal location to charge the electric vehicle in the microgrid. The proposed methodology has been developed using particle swarm optimization (PSO)-based optimal power flow (OPF) with an integrated power management (IPM) algorithm. The novelty of the IPM algorithm is the coordinated charging-discharging of the multiple numbers of aBSS of the EVs to reduce the overall distribution losses of the microgrid. The proposed methodology is tested in a standard solar PV powered microgrid network, where the optimal locations to charge the electric vehicles are identified. The daily distribution loss of the network is computed for all possible charging locations of the electric vehicle in the microgrid, and it is found that the distribution loss is minimum for the identified optimal locations. Also, to evaluate the effectiveness of the proposed methodology, the distribution loss analysis is carried out for three test cases; i) un-optimized power flow, ii) PSO based-OPF, and iii) PSO-based OPF with IPM. The case study shows that the PSO-based OPF gives 84% reduction in daily distribution loss compared to the conventional un-optimized power flow test case. The daily distribution loss is further reduced by 8% by incorporating the IPM algorithm in the PSO-based OPF. The utility can thereby encourage the electric vehicle (EV) owners to park their EVs at the optimal locations to reduce the distribution losses.
关键词： microgrid,particle swarm optimization,Battery storage systems,renewable generation,electric vehicle,optimal location
更新于2025-09-23 15:21:01
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[IEEE 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T) - Raipur, India (2020.1.3-2020.1.5)] 2020 First International Conference on Power, Control and Computing Technologies (ICPC2T) - Load Frequency Control of Solar Photovoltaic/Wind/Biogas/Biodiesel Generator Based Isolated Microgrid Using Harris Hawks Optimization
摘要： This study proposes an approximate mathematical model of an isolated microgrid consisting of solar photovoltaic, wind turbine, biogas, biodiesel generators, flywheel and battery storage system for load frequency analysis. A proportional-integral(PI) cascaded through tilt-integral-derivative with derivative filter(TIDF) controller named PI-TIDF is suggested for load frequency regulation of the microgrid. To tune controller parameters a newly proposed harris hawks optimization(HHO) is applied utilizing ITAE fitness function. The superiority of the HHO is established by comparison with other techniques such as GOA, CSA and GA. Then using HHO, comparison between PIDF, TIDF and PI-TIDF is done for load frequency control. From frequency response, it is found that HHO tuned PI-TIDF is having better performance compared to TIDF and PIDF. Lastly, the ability of the suggested technique is examined by changing the frequency and magnitude of disturbances. In the changed disturbance case, proposed control scheme is proved to have satisfactory performance without retuning the controller parameters.
关键词： Microgrid,Load frequency control,Renewable energy sources,Harris hawks optimization,PI-TIDF controller
更新于2025-09-23 15:21:01
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Design, Simulation and Fabrication of a High Gain Low Sidelobe Level Waveguide Slot Array Antenna at X-band with Zero Beam Tilts in Both Azimuth and Elevation Directions
摘要： This paper presents the development of an intelligent dynamic energy management system (I-DEMS) for a smart microgrid. An evolutionary adaptive dynamic programming and reinforcement learning framework is introduced for evolving the I-DEMS online. The I-DEMS is an optimal or near-optimal DEMS capable of performing grid-connected and islanded microgrid operations. The primary sources of energy are sustainable, green, and environmentally friendly renewable energy systems (RESs), e.g., wind and solar; however, these forms of energy are uncertain and nondispatchable. Backup battery energy storage and thermal generation were used to overcome these challenges. Using the I-DEMS to schedule dispatches allowed the RESs and energy storage devices to be utilized to their maximum in order to supply the critical load at all times. Based on the microgrid’s system states, the I-DEMS generates energy dispatch control signals, while a forward-looking network evaluates the dispatched control signals over time. Typical results are presented for varying generation and load profiles, and the performance of I-DEMS is compared with that of a decision tree approach-based DEMS (D-DEMS). The robust performance of the I-DEMS was illustrated by examining microgrid operations under different battery energy storage conditions.
关键词： microgrid,Adaptive dynamic programming,reinforcement learning,evolutionary computing,dynamic energy management system (DEMS),renewable energy,neural networks
更新于2025-09-23 15:21:01
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[IEEE 2019 IEEE Power & Energy Society General Meeting (PESGM) - Atlanta, GA, USA (2019.8.4-2019.8.8)] 2019 IEEE Power & Energy Society General Meeting (PESGM) - A New Remote Tap Position Estimation Approach for Open-Delta Step-Voltage Regulator in a Photovoltaic Integrated Distribution Network
摘要： We describe the general concept and practical feasibility of a dc-based open energy system (OES) that proposes an alternative way of exchanging intermittent energy between houses in a local community. Each house is equipped with a dc nanogrid, including photovoltaic panels and batteries. We extend these nanogrids with a bidirectional dc–dc converter and a network controller so that power can be exchanged between houses over an external dc power bus. In this way, demand-response fluctuations are absorbed not only by the local battery, but can be spread over all batteries in the system. By using a combination of voltage and current controlled units, we implemented a higher-level control software independent from the physical process. A further software layer for autonomous control handles power exchange based on a distributed multiagent system, using a peer-to-peer like architecture. In parallel to the software, we made a physical model of a four-node OES on which different power exchange strategies can be simulated and compared. First results show an improved solar replacement ratio, and thus a reduction of ac grid consumption thanks to power interchange. The concept’s feasibility has been demonstrated on the first three houses of a full-scale OES platform in Okinawa.
关键词： microgrid,power transmission,power system control,dc interconnected power system,smart grid,dc power distribution,DC–DC converter
更新于2025-09-23 15:21:01