The incorporation of renewable energy sources into the power grid is pivotal in advancing a sustainable future. According to recent studies, Distributed generation resources can significantly reduce congestion in power networks. However, if these distributed resources are not planned smartly, they can sometimes aid in congestion and losses in the system. To address this issue, this paper employs a sequential approach to identify the optimal locations and sizes of distributed resources to mitigate congestion. This paper utilizes DC Optimal Power Flow (DC-OPF) methodology to compute Locational Marginal Pricing (LMP). Subsequently, Locational Marginal Prices (LMPs) are employed to ascertain the optimal location and size of the distributed source. The scheme is applied on three bus systems on two different simulation platforms, i.e. on the power world simulator and ETAP.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Sequential Hybrid Solution to Alleviate Congestion Utilizing Distributed Generations and FACTs Devices in the Power Network

  • Mohammad Ibrar,
  • Charu Sharma,
  • Pawan Sharma

摘要

The incorporation of renewable energy sources into the power grid is pivotal in advancing a sustainable future. According to recent studies, Distributed generation resources can significantly reduce congestion in power networks. However, if these distributed resources are not planned smartly, they can sometimes aid in congestion and losses in the system. To address this issue, this paper employs a sequential approach to identify the optimal locations and sizes of distributed resources to mitigate congestion. This paper utilizes DC Optimal Power Flow (DC-OPF) methodology to compute Locational Marginal Pricing (LMP). Subsequently, Locational Marginal Prices (LMPs) are employed to ascertain the optimal location and size of the distributed source. The scheme is applied on three bus systems on two different simulation platforms, i.e. on the power world simulator and ETAP.