Results 1 to 10 of about 6,815 (151)
全球能源互联网, 2023 微网在分布式新能源消纳、负荷优化、提高能源利用效率等方面具有重要作用。但新能源出力的间歇性、负荷侧用电行为的随机性导致微网成为一个动态的复杂系统，难以通过准确的物理模型刻画，给微网优化运行带来巨大挑战。深度强化学习（deep reinforcement learning，DRL）通过与环境交互试错寻找最优策略，不依赖于新能源出力和负荷的精确建模，适用于解决序贯决策问题，在求解含有大量不确定性的微网优化运行难题时具有优势。为此，从DRL原理、DRL在单个微网以及微网群优化运行中的应用进行了综述与分析 ...
周翔, 王继业, 陈盛, 王新迎
doaj +1 more source
Research on Protection Scheme of DC Microgrid Integrated with Fault Current Limiting Control Technology [PDF]
, 2023 [Introduction] With the development of new loads, such as distributed power sources and electric vehicles, DC(Direct Current) microgrids have the advantages of fewer commutation links and lower system losses than AC(Alternating Current) microgrids, and ...
Bingyao ZHENG +6 more
core +1 more source
Research on Fault Current Controller of DC Microgrid [PDF]
, 2023 [Introduction] With the rapid development of AC/DC distribution networks and distributed generation technology, the role of DC microgrids in distribution networks is becoming increasingly important and will become an important component of future ...
Cong LIN, Fang GUO, Xiangfeng LI
core +1 more source
基于可进化 PID 的含电动汽车孤岛微电网负荷频率控制策略 [PDF]
全球能源互联网, 2023 电动汽车（electric vehicle，EV）作为具有车网互动（vehicle-to-grid，V2G）能力的移动储能组件，为微电网的频率稳定提供了更为灵活的控制方案。但是，分布式电源与电动汽车所具有的强非线性，也给微电网频率控制带来了新的挑战。为此，提出了一种基于可进化PID的含电动汽车微电网频率控制策略。首先，考虑电动汽车移动性和用户充电行为随机性，以及电动汽车充电站容量在日内的阶段性突变，建立了由电动汽车充电站、微型燃气轮机与分布式电源组成的微电网系统。其次，将PID与深度确定性策略梯度 ...
范培潇 +4 more
doaj +1 more source
Partitioning Method of Virtual Microgrid Based on Electrical Coupling Strength [PDF]
, 1978 © 2019 Automation of Electric Power Systems Press. With the fast development in the research of smart grid and Energy Internet, more and more distributed renewable energy and energy storage devices are connected into distribution networks, intelligent ...
Wu, C +5 more
core +4 more sources
基于DE-RBF 混合优化算法的微电网自适应下垂控制策略 [PDF]
全球能源互联网, 2023 孤岛微电网因线路阻抗各异，采用传统下垂控制无法实现功率按分布式电源容量比例分配，会产生电压/频率偏差。为此，提出一种基于DE-RBF混合优化算法的自适应下垂控制策略。首先，构建下垂控制的两逆变器并联微电网系统动态模型，应用差分进化 （differential evolution，DE） 算法获得多个平衡点的优化下垂控制参数。为提高系统的动态响应速度与稳定性，通过训练径向基 （radial basis function，RBF） 神经网络，对每个平衡点参数进行校正。进而，通过增加RBF神经网络的隐含层数量，
吴丽珍, 魏建平, 丁安邦, 陈伟
doaj +1 more source
Wireless Autonomous Power Flow Control in Converter-Fed Microgrids [PDF]
, 2014 When total apparent power of the energy storage system (ESS) interfacing converter is fixed, the higher the requirement on reactive power in the microgrid system with distributed multiple converters, the weaker the ability of ESS to balance theactive ...
Guerrero, Josep M. +4 more
core +2 more sources
, 2023 能源革命和数字革命方兴未艾，正共同推动中国能源电力系统向新型电力系统转型升级。人工智能有助于新型电力系统实现精准建模、高效分析及智能决策控制，是新型电力系统构建的关键支撑技术。通过对人工智能在电力系统源、网、荷、储等关键环节的预测、建模、分析、优化控制等核心应用的现状进行综述，对元学习、无监督预训练、可解释性与人机混合增强等人工智能领域的技术发展和其在新型电力系统的应用进行分析展望 ...
周翔, 王新迎, 赵日晓*, 闫冬
core +1 more source
Analyzing the weights and its variation of the three delays in EPA network [PDF]
, 2012 Three delay factors of EPA micro segment:queuing delay,node information processing delay and transmission and propagation delay was analied,and the weight influence of the three major factors of delay on the real-time performance was discussed,through ...
De-jiu DENG +2 more
core +1 more source
基于模型预测控制的光储发电系统VSG频率控制方法 [PDF]
, 2022 随着光伏发电装机规模大幅提升，电力系统转动惯量不断降低，虚拟同步发电机（virtual synchronous generator，VSG）技术被广泛采用以应对日益严峻的电网稳定性问题。为进一步提高VSG技术对系统稳定性的改善作用，提出基于模型预测控制的VSG频率控制方法。该方法首先在同步发电机转子运动方程和逆变器下垂控制方程基础上建立VSG可优化的离散模型，再通过模型预测控制（model predictive control，MPC）预测VSG转子角频率的运动轨迹 ...
张志丹 +3 more
core +1 more source