Impact of communication time delays on combined LFC and AVR of a multi-area hybrid system with IPFC-RFBs coordinated control strategy

In this paper, the impact of communication time delays (CTDs) on combined load frequency control (LFC) and automatic voltage regulation (AVR) of a multi-area system with hybrid generation units is addressed. Investigation reveals that CTDs have significant effect on system performance. A classical PID controller is employed as a secondary regulator and its parametric gains are optimized with a differential evolution - artificial electric field algorithm (DE-AEFA). The superior performance of the presented algorithm is established by comparing with various optimization algorithms reported in the literature. The investigation is further extended to integration of redox flow batteries (RFBs) and interline power flow controller (IPFC) with tie-lines. Analysis reveals that IPFC and RFBs coordinated control enhances system dynamic performance. Finally, the robustness of the proposed control methodology is validated by sensitivity analysis during wide variations of system parameters and load.     

Integration of PV system with SMES based on model predictive control for utility grid reliability improvement.

This paper describes the integration of a photovoltaic (PV) renewable energy source with a superconducting magnetic energy storage (SMES) system. The integrated system can improve the voltage stability of the utility grid and achieve power leveling. The control schemes employ model predictive control (MPC), which has gained significant attention in recent years because of its advantages such as fast response and simple implementation. The PV system provides maximum power at various irradiation levels using the incremental conductance technique (INC). The interfaced grid side converter of the SMES can control the grid voltage by regulating its injected reactive power to the grid, while the charge and discharge operation of the SMES coil can be managed by the system operator to inject/absorb active power to/from the grid to achieve the power leveling strategy. Simulation results based on MATLAB/Simulink® software prove the fast response of the system control objectives in tracking the setpoints at different loading scenarios and PV irradiance levels, while the SMES injects/absorbs active and reactive power to/from the grid during various events to improve the voltage response and achieve power leveling strategy.     

Optimization algorithm for ultra-sparse arrays in regional energy focusing

The setting of ultra-sparse arrays is one of key factors for the performance of regional energy focusing.This paper focuses on one of its typical applications:Precision Electronic Warfare by UAV,and proposes an optimization algorithm for ultra-sparse arrays to maximize the performance of regional energy focusing.First,we establish the joint optimization model of the interference waveform and the positions of elements.Second,particle swarm optimization (PSO) is adopted to iterate the positions of elements.Then,the target value of the subproblem is solved for the fitness criterion,as the current array is known in each step of the iteration.Finally,we get the optimal solution of the interference waveform and the ultra-sparse array by this method.Numerical results indicate that the algorithm can optimize the array effectively,and improve the indicators of regional energy focusing obviously.Whether the localization errors of elements exist or not,the algorithm provides a better performance than existing algorithms which only design the interference waveform.     

NDN数据提供者移动支持策略能耗建模与分析

基于数据提供者的移动节点在网络中的不同位置及不同移动速度,结合命名数据网络（NDN）请求者驱动的数据传输模式,提出了3类NDN移动支持策略的网络能耗解析表达式,为NDN移动网络的研究提供了形式化的建模方法.对这3类移动支持策略在不同场景下能耗的分析与比较结果表明,数据流行度分布、移动节点所处位置及移动速度对策略的能耗影响不尽相同,为后续探求最优能效的移动支持策略提供了理论参考.     

基于临场感的遥操作机器人共享控制研究综述

共享控制策略作为基于临场感的遥操作机器人的主要控制模式,能够充分利用操作者的感知、判断和决策能力,也能发挥出机器人自身的优势. 阐述遥操作机器人临场感技术;综述遥操作共享控制策略的发展现状,主要基于触觉反馈引导、运动学限制规避以及共享因子分配等,对各控制策略的原理进行介绍,并梳理和分析遥操作共享控制策略发展中的瓶颈和不足,如共享因素的单一化或僵硬化、时延问题和机器人自主判断能力有限等问题. 针对研究存在的局限性,从3个方面对未来的发展提出展望,分别为提升干预水平、加强机器人意图预测、结合机器学习, 具有一定的指导意义.     

高速精密加工工具系统现状与探讨

综述了新型工具系统的发展过程、特点及应用情况 ,着重分析了HSK工具系统的刚度和承载能力、夹紧力、动平衡、测量技术、材料和热处理等几个关键问题 ,指出了尚待解决的一些重要问题 ,提出了今后研究的途径以及我国开发高速加工工具系统时应采取的策略。     

多样性制导分段进化的基因表达式编程

为了解决基于传统基因表达式编程（GEP）的函数挖掘及其改进算法仍然存在局部优化的缺陷这一问题,提出了以基因组多样性制导的分阶段进化挖掘算法DGGEP。给出了GEP 进化阶段和基因组多样性评估模式的定义;提出了描述进化阶段的进化因子概念和分阶段进化策略;采用动态遗传算子设计和群体规模控制方法,使进化更快速跳出局部最优。实验表明了新算法的有效性,能减少进化停滞代数65％以上,使群体的平均适应度提高12%以上。     

面向碳中和目标的碳捕集、利用与封存发展初步探讨

到2060年力争实现碳中和目标的提出,为中长期我国应对气候变化指明了方向,确定了明确的目标,将对我国能源和经济系统产生深远影响。碳捕集、利用与封存（carbon capture, utilization and storage,CCUS）作为具有大规模减排潜力的技术,是实现碳中和目标不可或缺的重大技术,一直以来受到全球广泛关注,同时有助于我国建立更加具有韧性和弹性的能源系统。本文初步探讨了碳中和目标对CCUS发展带来的新形势和新需求,并对我国CCUS发展的情况和存在的挑战进行了分析,在此基础上提出了近期CCUS发展应重点关注的几方面重点任务,特别是要面向碳中和目标的要求加快构建全面系统的CCUS技术体系,充分发挥其减排和负排放的作用,同时深入研究CCUS在实现碳中和目标过程中的发展路径,统筹协调好在能源部门和工业部门等发展应用的路线图。     

园区综合能源服务利益方运营关系和经营战略

作为综合能源服务领域当前最具落地条件的领域,园区综合能源服务已受到工业、学术界越来越多的关注。园区综合能源服务相关利益方之间存在复杂的业务和利益耦合,亟须通过研究梳理利益方运营关系,指导园区综合能源服务的健康有序发展。通过分析园区综合能源服务的能量流、信息流与资金流,得出利益方运营关系。基于此,以电网企业为例,提出了开展园区综合能源服务发展的经营管理战略,即按照“以点带线、以点带面”的市场开拓思路,以示范项目为引领,拓展综合能源服务项目落地。     

基于恢复价值动态评估的配电网恢复控制决策

配电网停电后,停电场景、恢复进程和应急情况下的负荷职能等均会影响负荷恢复供电的紧急程度,通常根据待恢复对象自身的恢复价值静态设置其重要等级或重要度,这制约了有限恢复资源的精细化管理.为此,考虑冷负荷启动特性与负荷间职能耦合关系对负荷单位恢复价值的影响,考虑间歇性电源出力的可控性对电源恢复价值的影响,结合母线恢复为周边其他待恢复对象带来的潜在恢复价值,同时计及系统供电缺额、恢复代价和恢复操作的不确定性,提出了综合恢复收益、代价和风险的负荷及电源母线恢复价值动态评估方法.以此为基础,建立了配电网供电恢复多进程优化模型及分区并行恢复决策方法.最后,通过仿真分析验证了所提策略能够有效提高恢复资源的利用率.