| 1. |
- Chamorro Vera, Harold Rene, et al.
(författare)
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Smart Renewable Energy Communities - Existing and Future Prospects
- 2021
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Ingår i: 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 1-6
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Konferensbidrag (refereegranskat)abstract
- Existing power systems are both weak and vulnerable when it comes to environmental threats, whether these occur due to natural disasters like earthquakes and hurricanes or extreme weather phenomena like torrential rains and hail. Under these circumstances, urban and rural communities are continuously evolving towards more self-balanced, self-sustainable electrical arrangements. This paper gives a brief overview of the existing energy community models, the technologies involved, and the services, along with some background in order to illustrate how these come about and what the conditions and requirements are to advance such initiatives, from both the private and the public sectors.
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| 2. |
- Javidsharifi, Mahshid, et al.
(författare)
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Optimum sizing of photovoltaic-battery power supply for drone-based cellular networks
- 2021
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Ingår i: Drones. - : MDPI AG. - 2504-446X. ; 5:4
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Tidskriftsartikel (refereegranskat)abstract
- In order to provide Internet access to rural areas and places without a reliable economic electricity grid, self-sustainable drone-based cellular networks have recently been presented. However, the difficulties of power consumption and mission planning lead to the challenge of optimal sizing of the power supply for future cellular telecommunication networks. In order to deal with this challenge, this paper presents an optimal approach for sizing the photovoltaic (PV)-battery power supply for drone-based cellular networks in remote areas. The main objective of the suggested approach is to minimize the total cost, including the capital and operational expenditures. The suggested framework is applied to an off-grid cellular telecommunication network with drone-based base stations that are powered by PV-battery systems-based recharging sites in a rural location. The PV-battery system is optimally designed for three recharging sites with three different power consumption profiles with different peak and cumulative loads. Results show that the optimal design of the PV-battery system is dependent on geographical data, solar irradiation, and ambient temperature, which affect the output power of the PV system, as well as the power consumption profile, which affects the required number of PV panels and battery capacity.
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| 3. |
- Keivanimehr, Mehran, et al.
(författare)
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Load Shedding Frequency Management of Microgrids Using Hierarchical Fuzzy Control
- 2021
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Ingår i: 2021 World Automation Congress (WAC). - : Institute of Electrical and Electronics Engineers (IEEE). ; , s. 216-221
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Konferensbidrag (refereegranskat)abstract
- Frequency control is one important issue in autonomous operating mode of Microgrids (MGs). In stand-alone microgrids, when generation power is not enough, it is inevitable to shed some parts of the load. This paper presents a decentralized fuzzy controller for optimal load shedding in MGs. The proposed controller which is separately installed for each load center uses a hierarchical fuzzy controller approach to make the optimal decision. Three inputs of the hierarchical fuzzy controller are the power of non-critical load, the load energy not supplied and its interruption frequency. From a specific time of the past, these inputs are calculated for all load centers, and updated periodically. The non-critical part of the loads which can be shed to survive network. Each decentralized controller of the loads has a bilateral communication with the microgrid central controller to transact some information, periodically. Simulation results on a typical microgrid with several load buses showing the effectiveness of the proposed method.
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| 4. |
- Rwegasira, Diana, 1985-
(författare)
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Agent-Based System for Enhanced Controlling and Monitoring of a Solar Driven DC Microgrid
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- The early efforts in grid computing started as a project to link supercomputing sites, but have now grown far beyond their original intent. This has led to the introduction of smart systems such as smart grids for power systems, and e-health systems for the health sector. The smart grid system has provided many solutions with regards to energy management, energy efficiency resources, accessibility of power supply, controlling and monitoring of the electric system, etc. An agent-based system has been seen to work successfully in electric sectors which involve the use of artificial intelligence and autonomous actions during the operations and controlling activities. These significant facts of the agent-based system have led to the design and implementation of smart systems to reduce human interventions. In this thesis, controlling and monitoring are the significant aspects of the provision of an autonomous system in the upper layer of the microgrid. The proposed approach involves the use of the solar-driven DC microgrid as a source of power with a capacity of 48V DC. An agent-based control is a technology used for deploying the load shedding technique with a demand response scheme, which enhances the sharing of power among individuals. The target usage is for low voltage appliances such as lighting and charging activities of low power consumption devices, which can be applied to the areas without access to electricity. Firstly, the analysis of the existing applications, simulation platforms, and algorithms in the agent-based system was done. Secondly, the simulation model based on solar DC microgrid was developed for critical and non-critical loads. It involves three main agents which are: - solar agent, storage agent, and load agent. This was further extended to include the demand response scheme for the pricing algorithm to provide flexibility in the model. The model runs with different scenarios such as static loads, dynamic loads, and also provides the mechanism to integrate with the agent-based hardware platform. Using the simulation model, the requirements for designing and implementation the DC microgrid was deduced. Finally, the deployment of the prototype was done to demonstrate the control and monitoring aspects using an agent-based system. The test-bed is designed with low-cost and high-performance devices which concluded the best usage of the agent-based system. The performance of the proposed solar DC microgrid was analyzed using different aspects, including energy cost, and scalability. The advantages and impact of this research can be applied in any community for the application of various renewable energy systems.
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