首页> 外文期刊>Power Systems, IEEE Transactions on >Optimal Reactive Power Procurement With Voltage Stability Consideration in Deregulated Power System
【24h】

Optimal Reactive Power Procurement With Voltage Stability Consideration in Deregulated Power System

机译:稳压电源系统中考虑电压稳定性的无功最优采购

获取原文
获取原文并翻译 | 示例

摘要

Power systems are mostly run under stressed operating conditions due to rapidly increasing demand but inadequate expansion in generation and transmission capacity. Thus voltage stability has become a major concern in present day power system operation which depends on the availability and distribution of reactive power. It becomes very important to ensure the presence of sufficient amount of reactive power source in the network for secure and reliable operation of electrical power system. This paper mainly deals with short-term reactive power procurement (RPP) problem assuming an already established real power market. Contributions of this paper are three fold. First, this paper presents three new RPP methods which are formulated as optimum power flow (OPF) problems. OPFs are solved using Artificial Bee Colony (ABC) algorithm as population based stochastic solution methods are more suitable for solving reactive power optimization problem. Second, a detailed analysis of voltage stability for proposed RPP problems are performed for both normal and contingency condition to find out how these new formulations affect voltage stability. Third, proposed methods are compared with the classical RPP formulations, e.g., Minimization of L-index and loss Minimization. Finally results are reported for both test system and a large practical system.
机译:由于需求的快速增长,但是发电和输电能力的扩展不足,电力系统大多在压力条件下运行。因此,电压稳定性已成为当今电力系统运行中的主要问题,这取决于无功功率的可用性和分配。确保网络中存在足够数量的无功功率对电力系统的安全可靠运行变得非常重要。本文主要假设已经建立的有功电力市场来解决短期无功功率采购(RPP)问题。本文的贡献是三方面的。首先,本文介绍了三种新的RPP方法,它们被公式化为最佳功率流(OPF)问题。使用人工蜂群(ABC)算法求解OPF,因为基于种群的随机求解方法更适合解决无功优化问题。其次,针对正常和意外情况对提出的RPP问题的电压稳定性进行了详细分析,以找出这些新配方如何影响电压稳定性。第三,将提出的方法与经典的RPP公式进行比较,例如L指数的最小化和损耗的最小化。最后报告了测试系统和大型实际系统的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号