基于实时嵌入式粒子群优化的子输电网无功能力研究

R. Cabadag, U. Schmidt, P. Schegner
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引用次数: 8

摘要

风能是最具竞争力和效率的能源之一,因此,它的使用在世界范围内不断增加。尽管风能在其他可再生能源中相对便宜,但它也存在变数和不确定性。因此,风能的高渗透给电力系统的安全性、稳定性、电能质量和运行带来了一些技术问题。输配电系统运营商(tso和dso)被要求为风电场(WFs)制定必要的电网规范,考虑到一些参数来克服这些困难。本文提出了一种实时嵌入式粒子群优化(RTEPSO)方法来定义WFs的最佳设置,以满足德国典型110 kv分输电网在任何时间的无功需求。换句话说,本文提出的方法是在考虑用户计数箭头系统的情况下,搜索wf的确切工作点来计算连接点(CP)所需的吸收/产生的无功功率。
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Reactive power capability of a sub-transmission grid using real-time embedded particle swarm optimization
Wind energy is one of the most competitive and efficient energy sources and, as a result, usage of it is continuously increasing worldwide. Although wind energy is relatively cheaper among the other renewables, it is also variable and uncertain. Therefore, the high penetration of wind energy causes several technical problems related to security, stability, power quality and operation of power systems. Transmission and Distribution System Operators (TSOs and DSOs) are issued to develop required grid codes for wind farms (WFs) considering a number of parameters to overcome those difficulties. This paper represents a Real-Time Embedded Particle Swarm Optimization (RTEPSO) to define optimal settings of WFs to meet reactive power requirements of a typical German 110 kV-sub-transmission grid at any time. In other words, the proposed approach searches the exact operation points of WFs to calculate required amount of absorbed/generated reactive power at Connection Point (CP) under consideration of Consumer Counting Arrow System.
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