Results 1 to 10 of about 589 (107)
An Improved Deep Reinforcement Learning Method for Dispatch Optimization Strategy of Modern Power Systems [PDF]
Entropy, 2023 As a promising information theory, reinforcement learning has gained much attention. This paper researches a wind-storage cooperative decision-making strategy based on dueling double deep Q-network (D3QN). Firstly, a new wind-storage cooperative model is
Suwei Zhai +4 more
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Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side [PDF]
Sensors, 2022 As an efficient way to integrate multiple distributed energy resources (DERs) and the user side, a microgrid is mainly faced with the problems of small-scale volatility, uncertainty, intermittency and demand-side uncertainty of DERs.
Jinsong Sang, Hongbin Sun, Lei Kou
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Distributed control strategy of temperature control loads considering switch life loss
电力工程技术, 2022 As important demand-side resources, thermostatically controlled loads (TCLs) have great potential in suppressing fluctuations in renewable energy. However, traditional TCLs control strategy usually does not consider the control cost and the life loss ...
LI Zixuan +5 more
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Demand Response Optimal Dispatch and Control of TCL and PEV Agents with Renewable Energies
Fractal and Fractional, 2021 Demand response (DR) flexible loads can provide fast regulation and ancillary services as reserve capacity in power systems. This paper proposes a demand response optimization dispatch control strategy for flexible thermostatically controlled loads (TCLs)
Jianqiang Hu, Jinde Cao
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Ancillary Services Provided by Aggregated Thermostatically Controlled Loads in Power Demand Side
Nantong Daxue xuebao. Ziran kexue ban, 2020 Among the loads of smart grid, the thermostatically controlled loads(TCLs) as the main adjustable load have a large percent, and reasonable guidance and control of them towards an orderly consumption play a key role in the stable operation and ...
HU Jianqiang;MEI Haifeng;FANG Kun;DAI Andong
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A Day-Ahead Scheduling of Equivalent Energy Storage Model Considering Minimum-On-Off Time
IEEE Access, 2020 In order to make Thermostatically Controlled Loads (TCLs) better meet the scheduling requirements, a day-ahead scheduling of equivalent energy storage model that takes into account of the minimum-on-off time is established.
Meng Zhang +3 more
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IEEE Access, 2020 Among various kinds of flexible loads resources in power system, the thermostatically controlled loads (TCLs) are considered as the excellent candidates for the demand response (DR) programs due to the heat/cool storage characteristics.
Li-Min Cheng, Yu-Qing Bao
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Energies, 2021 Non-cooperative scheduling games can be used to coordinate residential loads in order to achieve a common goal while accounting for individual consumer’s interests, privacy, and autonomy.
Luciana Marques +2 more
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Exploiting Integrated Demand Response for Operating Reserve Provision Considering Rebound Effects
IEEE Access, 2022 Electricity-driven thermostatically controlled loads (TCLs), e.g., air conditioners (ACs), have been widely utilized in demand response (DR) to provide operating reserve for power systems.
Xiaoming Zhou +6 more
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Energies, 2020 Thermostatically controlled loads (TCLs) can effectively support network operation through their intrinsic flexibility and play a pivotal role in delivering cost effective decarbonization.
Vincenzo Trovato +2 more
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