A novel network model for optimal power flow with reactive power and network losses

By Zhifang Yang, Haiwang Zhong, Qing Xia, Chongqing Kang. 2017

60 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f3eb1ab403b9a44a63798af30ff197ff5a34fe79

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Qing Xia
2. Chongqing Kang
3. Mladen Kezunovic
4. Amiya R. Nayak
5. Sushmita Ruj
6. Jinfeng Ren

In Electrical and Electronic Engineering

1. D. Bogdanov
2. Christian Breyer
3. Chongqing Kang
4. Qing Xia
5. Anjan Bose
6. Haiwang Zhong
7. Mladen Kezunovic
8. Amiya R. Nayak

Citations in the corpus

• Power transmission and distribution losses – A model based on available empirical data and future trends for all countries globally (2019, methodology): “One way is to simulate the network operations using 73 optimal power flow (OPF) methodology, for which several different realisations of the algorithm have been 74 developed [10], [11], [12].”
• A Linearized OPF Model With Reactive Power and Voltage Magnitude: A Pathway to Improve the MW-Only DC OPF (2018, methodology): “Although the simplified network models may increase operational costs, jeopardize market inefficiency, and even threaten the security, most system operators still use the DC OPF method instead of the numerous AC OPF algorithms [12].”