The proposed distributed real-time sharing control algorithm, in which each household independently solves a simple convex optimization problem in each time slot, can quickly adapt to the system ...
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optimal deployment algorithm in constant running time O(1) without considering NFZ, by jointly optimizing UAVs'' flying distances on the ground and service altitudes in the sky. We show that a UAV with larger initial energy storage should be deployed further
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With the development of digital economy technologies, mobile edge computing (MEC) has emerged as a promising computing paradigm that provides mobile devices with closer edge computing resources. Because of high mobility, unmanned aerial vehicles (UAVs) have been extensively utilized to augment MEC to improve scalability and adaptability. However, …
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Energy-saving deployment algorithms of UAV swarm for sustainable wireless coverage. Zhang, Xiao. ; Duan, Lingjie. Recent years have witnessed increasingly more uses of Unmanned Aerial Vehicle (UAV) swarms for rapidly providing wireless coverage to ground users. Each UAV is constrained in its energy storage and wireless coverage, and it …
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In order to minimize energy consumption and achieve a fast. policy response, this paper proposes a joint optimization algorithm for edge caching and. task deployment based on deep Q-learning (DQCD ...
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In particular, a greedy algorithm is proposed to determine the sub-optimal energy storage deployment based on the voltage deviation minimization. The simulations show that time-series analyses in comparison with snapshot analyses give completely different results and change the level of PV hosting capacity.
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Battery storage is critical for integrating variable renewable generation, yet how the location, scale, and timing of storage deployment affect system costs and …
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Introducing energy storage systems (ESSs) in the network provide another possible approach to solve the above problems by stabilizing voltage and frequency. Therefore, it is essential to allocate distributed ESSs optimally on the distribution network …
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When compared to other scenarios, the profit of the dynamic control strategy is extended by 7.63 %, 327.69 % and 9.75 % respectively, and the energy storage life is extended by 10.02 %, 62.89 % and 21.61 % …
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To improve the system''s energy density, some CAES system equipment is added to fill the upper part of the gravity piston in the sealed vessel with high-pressure air. The return pipe is used to ...
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Recent years have witnessed increasingly more uses of Unmanned Aerial Vehicle (UAV) swarms for rapidly providing wireless coverage to ground users. Each UAV is constrained in its energy storage and wireless coverage, and it consumes most energy on flying to the top of the target area, thus leaving limited leftover energy for hovering at its deployed …
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The deployment of utility-scale energy storage systems (ESSs) can be a significant avenue for improving the performance of distribution networks. An optimally placed ESS can reduce power losses and line loading, mitigate peak network demand, improve voltage profile, and in some cases contribute to the network fault level diagnosis.
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Design and strategy for the deployment of energy storage systems in a distribution feeder with penetration of renewable resources IEEE Trans. Sustain. Energy, 6 ( 3 ) ( 2015 ), pp. 1085 - 1092, 10.1109/TSTE.2014.2330294
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Energy-Efficient Edge Caching and Task Deployment Algorithm Enabled by Deep Q-Learning for MEC Li Ma, Peng Wang, Chunlai Du and Yang Li * School of Information Science and Technology, North China ...
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Due to environmental concerns associated with conventional energy production, the use of renewable energy sources (RES) has rapidly increased in power systems worldwide, with photovoltaic (PV) and wind turbine (WT) technologies being the most frequently integrated. This study proposes a modified Bald Eagle Search …
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optimal deployment algorithm in constant running time O(1) without considering NFZ, by jointly optimizing UAVs'' flying distances on the ground and service altitudes in the sky. …
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Energy-Saving Deployment Algorithms of UAV Swarm for Sustainable Wireless Coverage June 2020 IEEE Transactions on Vehicular ... same energy storage should not fly across each other during the ...
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Fully Parallel Algorithm for Energy Storage Capacity Planning Under Joint Capacity and Energy Markets Abstract: Energy storage (ES), with its flexible characteristics, has been …
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For comparison, the reinforcement learning (RL) algorithms can address the shortcomings of rule-based energy management strategies due to their model-free feature. Therefore, this article proposes an energy management strategy based on parallel reinforcement learning (PRL) to improve the efficiency of energy utilization while …
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Heterogeneous battery strategy, with each province flexibly choosing different battery strategies, achieves the lowest power system costs. However, this non-uniform strategy only achieves the ...
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This work proposes an optimal energy-saving deployment algorithm by jointly balancing heterogeneous UAVs'' flying distances on the ground and final service altitudes in the sky and presents a heuristic algorithm to solve the general case by balancing the efficiency and computation complexity well. Recent years have witnessed …
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Compared with traditional ESS deployment methods, our proposed method can reduce the total ESS equivalent investment annual cost by 20% in the selected regional power system in China. Our proposed multi-time …
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We show that a UAV with larger initial energy storage in the UAV swarm should be deployed further away from the UAV station, and we propose an optimal energy-saving deployment algorithm...
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We have aspired as a green and intelligent future, where humans, the built environment, and the nature are interconnected as a cyber-physical system. To such an Internet of Things, the sustainability and robustness of the power system is crucial, and the reliable operation of the battery-backed energy storage systems is key because of their abilities in power …
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The construction and development of energy storage are crucial areas in the reform of China''s power system. However, one of the key issues hindering energy storage investments is the ambiguity of revenue sources and the inaccurate estimation of returns. In order to facilitate investors'' understanding of revenue sources and returns on …
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GES system addressed by this work is a new mechanical storage technology adopting the same functioning principle of pumped hydro energy storage (PHES). The particularity of this innovative system is its independency to geographical restrictions. As seen in Fig. 1, GES is composed of four main components namely, a …
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With the mushrooming of distributed renewable generation, energy storage unit (ESU) is becoming increasingly important in residential energy systems. This letter proposes a fractional programming model to determine the optimal power, and energy capacities of residential ESUs. The objective function maximizes the ratio between the …
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The high variability introduced by renewable generation may lead to a reduction of the available transfer capability (ATC). In this paper, a novel conceptual method of ATC enhancement is proposed which improves the ATC by reducing the variance of the total transfer capability (TTC). Compared to the conventional methods that aim to shift the …
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Lightning search algorithm-based controller for MG energy management system. • Optimized controllers minimize operating cost of the MGs system. • Effectiveness of the scheduling controller is executed based on a real load uncertainty condition. • modeling and ...
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In the current study, the costs and benefits of deploying energy storage system (ESS) are discussed, and the role of ESS in transmission expansion planning (TEP) is investigated. Based on the ...
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Thus, assimilating the dispatchable battery energy storage (BES) is obligatory for renewable DGs to reduce power fluctuations. As compared to the conventional DGs (like gas turbines and reciprocating engines), renewable DGs are non-dispatchable, intermittent and time as well as weather dependent.
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Their purpose is not only to optimize the technical or economic operation of the facilities [13][14][15], but a major focus has also been placed on improving energy security by making the facility ...
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Despite of this, we propose an optimal energy-saving deployment algorithm by jointly balancing heterogeneous UAVs'' flying distances on the ground and final service …
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Firstly, we establish a wind-solar complementary power generation system with a hybrid energy storage comprising lithium-ion batteries and supercapacitors. The system configuration is illustrated in Fig. 1, consisting of a photovoltaic (PV) generation system, wind turbine generators, lithium-ion battery packs, supercapacitors, inverters, …
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