作者机构：
[马瑞; 郭光] School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha;410114, China;[马瑞; 郭光] 410114, China
通讯机构：
[Ma, R.] S;School of Electrical and Information Engineering, China
摘要：
随着能源互联网建设推进,含能量枢纽和高比例风电主动配电网与输电网交互更加紧密,输配全局潮流计算面临新挑战。该文基于体系(system of systems,SoS)概念,定义输电网和其接入的多个主动配电网为既独立又交互的体系系统,考虑含随机模糊性风电能量枢纽与配电网有功功率双向交互,获取主动配电网与输电网交互状态;进一步考虑输电网规模化风电接入和配网负荷三相不平衡,建立含风电和能量枢纽等的多能耦合三相不平衡主动配电网与输电网交互全局随机模糊潮流So S模型;提出结合随机模糊模拟、输配交互状态、前推回代和牛顿拉夫逊法的模型并行求解算法。改进的IEEE39节点输电网和IEEE33节点配电网算例仿真结果表明文中方法正确有效。
作者机构：
[马瑞; 刘振磊; 贺平平] School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha;410114, China;[禹海峰] Economical and Technical Research Institute of State Grid Hunan Electric Power Co., Ltd., Changsha;410004, China;[马瑞; 刘振磊; 贺平平] 410114, China
通讯机构：
[Ma, R.] S;School of Electrical and Information Engineering, China
摘要：
现有配电网安全域模型和安全距离模型均以确定性描述且未考虑三相不平衡因素,为此,提出了一种三相不平衡主动配电网（active distribution network,ADN）随机模糊安全距离模型及其多目标优化提升方法。在将传统ADN安全域模型拓展到能计及三相不平衡因素基础上,进一步计及风电出力随机模糊性,提出一种三相不平衡ADN安全域和随机模糊安全距离模型;针对不满足安全裕度运行点问题,提出以风电主动控制和无功补偿为手段,建立兼顾安全距离、弃风量和有功网损等多目标优化的随机模糊潮流安全距离提升模型,并结合随机模糊模拟、三相前推回代潮流算法和NSGA-II算法对多目标最优模型求解。改进的三相不平衡IEEE33节点算例仿真及其结果表明了所提方法的有效性。
作者机构：
[马瑞; 秦佳倩] School of Electrical & Information Engineering, Changsha University of Science and Technology, Changsha;410007, China;[马瑞; 秦佳倩] 410007, China
关键词：
Demand response;low-carbon electricity;multi-objective dynamic optimal power flow;NSGA-II;wind generation
摘要：
This paper studies the economic environmental energy-saving day-ahead scheduling problem of power systems considering wind generation (WG) and demand response (DR) by means of multi-objective dynamic optimal power flow (MDOPF). Within the model, fuel cost, carbon emission and active power losses are taken as objectives, and an integrated dispatch mode of conventional coal-fired generation, WG and DR is utilized. The corresponding solution process to the MDOPF is based on a hybrid of a non-dominated sorting genetic algorithm-II (NSGA-II) and fuzzy satisfaction-maximizing method, where NSGA-II obtains the Pareto frontier and the fuzzy satisfaction-maximizing method is the chosen strategy. Illustrative cases of different scenarios are performed based on an IEEE 6-units \ 30-nodes system, to verify the proposed model and the solution process, as well as the benefits obtained by the DR into power system.
关键词：
continuation power flow;double-fed induction generation;random fuzzy;voltage stability security
摘要：
A novel random fuzzy P-Q-V voltage stability security region of power system interconnected with double-fed induction generator high penetration is discussed in the paper. Based on random fuzzy simulation, a novel random fuzzy continuation power flow (RFCPF) method is presented. The RFCPF method contains 2 aspects: Firstly, the double-fed induction generator steady equations are embedded in continuation power flow; secondly, the revised continuation power flow is used to process random fuzzy simulation to obtain the voltage critical points. By using RFCPF method, random fuzzy P-Q-V voltage stability security region is obtained to study the waving characteristic of voltage collapse point, and a novel random fuzzy area of voltage stability region index is proposed to extract the feature of voltage stability. The RFCPF methodology is tested in IEEE 30-bus system, which shows the superiority and practicability of random fuzzy simulation. The simulation shows that the P-Q-V voltage stability boundary is fluctuating with uncertain wind injection, and the random fuzzy area of voltage stability region index reflects the uncertain characteristic of voltage stability more comprehensively.
作者机构：
[马瑞; 王京生] School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha;410114, China;[马瑞; 王京生] 410114, China
通讯机构：
[Ma, R.] S;School of Electrical & Information Engineering, Changsha University of Science & Technology, Changsha, China
