Fawzy Samaa, Abd-Raboh Elhossaini E, Eladl Abdelfattah A
Electrical Engineering Department, Faculty of Engineering, Mansoura University, El-Mansoura, 35516, Egypt.
Sci Rep. 2023 Oct 19;13(1):17831. doi: 10.1038/s41598-023-44977-9.
Most of countries around the world tends to increases the penetration of renewable energies generation in electrical power networks. This led to the emergence of many challenges in these systems, such as congestion of lines, voltage instability, etc. The most important of these problems is the spillage of renewable energies in order to maintain the stability of the power system. However, by using the traditional methods to mitigate the spillage, the stability of the power system may be deteriorated leading to a vulnerable power system against disturbances. This paper proposes a bilevel multi-objective Musical Chairs optimization algorithm for optimal allocation of multi-type flexible AC transmission system (FACTS) devices. The main target of the upper-level is to reduce the wind power spillage with minimize the investment cost of FACTS devices and load shedding, while maximize the voltage stability. Moreover, under different operating scenarios, the lower-level problem captured the market clearing with maintain the system constraints for maximize the social welfare. This leads to a robust and economical operating point where included enough levels of voltage security. The technique proposed in this paper is tested on the IEEE 24-bus modified reliability test system. The results show that the applicability of the proposed algorithm in aiding power system improvement planning for minimizing wind power spillage to integrate wind energy with maximizing the social welfare and improving the loadability and the voltage stability.
世界上大多数国家都倾向于提高可再生能源发电在电网中的渗透率。这导致这些系统中出现了许多挑战，例如线路拥堵、电压不稳定等。这些问题中最重要的是为了维持电力系统的稳定性而出现的可再生能源溢出。然而，通过使用传统方法来减轻溢出，电力系统的稳定性可能会恶化，导致电力系统容易受到干扰。本文提出了一种双层多目标音乐椅优化算法，用于多类型灵活交流输电系统（FACTS）装置的优化配置。上层的主要目标是在最小化FACTS装置投资成本和负荷削减的同时减少风电溢出，同时最大化电压稳定性。此外，在不同的运行场景下，下层问题在维持系统约束的情况下实现市场出清，以最大化社会福利。这导致了一个稳健且经济的运行点，其中包含足够的电压安全水平。本文提出的技术在IEEE 24节点改进可靠性测试系统上进行了测试。结果表明，所提出的算法适用于辅助电力系统改进规划，以最小化风电溢出，将风能与最大化社会福利相结合，并提高负荷能力和电压稳定性。
