潮流分析和鸟群优化在风水协同运行中的应用
摘要：风力发电的随机性导致弃风。考虑在实际发电约束以及电网络约束条件下，运用水电的调峰调频特性，最大化平抑风电出力的波动性，使风电出力与水电出力之和按照计划输出，将风电处理成可供电力系统实施调度计划的稳定发电节点。为了提高风水协同发电总输出功率平稳性，提出了基于鸟群算法的风水协同运行控制方法。在控制系统寻优前进行系统潮流计算，在保证系统潮流安全条件下，有效地控制水轮机组出力，快速追踪期望输出功率。算例验证了上述方法的有效性，并且分析了高弃风惩罚和高功率波动惩罚对风电水电协同运行的影响。
Abstract:The randomness of wind power is the reason of wind power abandonment. Considering the grid flow constraints and load frequency regulation ability of hydroelectric power generator, to smooth wind power output, the output of wind power and hydro power could be controlled according to the plan; therefore, the wind farm could be considered as dispatchable node. In order to improve the stability of the total output power of coordinated hydro and wind power generation, a new method based on bird swarm algorithm was proposed. Through the example analysis, before the control system was optimized, the system flow calculation was carried out to ensure the power flow security. It can effectively control the output power of the hydraulic generator on time, and quickly track the desired output power. The influence of high wind abandonment punishment and high power fluctuation punishment on the coordinated operation of wind power and hydropower.
标题：潮流分析和鸟群优化在风水协同运行中的应用
title:Applications of Power Flow Analysis and Bird Swarm Optimal Algorithm on the Coordinated Hydro and Wind Power Generation
作者：王玺,杨秀媛,范新桥,祁鲲
authors:Xi WANG,Xiuyuan YANG,Xinqiao FAN,Kun QI
关键词：风水协同发电,鸟群算法,调度,潮流计算,
keywords:coordinated hydro and wind power generation,bird swarm algorithm,scheduling,power flow calculation,
发表日期：2018-04-30
- 文件大小:
- 1.79 MB
- 下载次数:
- 60
-
高速下载
|
|
