Economic power flow adjustment technique using series capacitor and generator output adjustment for generation configuration change

Abstract

As a response to economic growth, electric power utilities installed many electric power facilities to meet power demand. However, these facilities have aged and should be replaced in the near future. Moreover, after the Great East Japan Earthquake, significant power flow changes in power system would likely to happen. Therefore, for electric power facilities planning, it is necessary to solve such power flow problems. In this paper, we assume a protracted loss of generation capabilities in a nuclear power plant and examine the resulting load changes. We propose the use of series capacitors on nonheavily loaded lines to alleviate load differences among transmission lines. We also propose the concept of mitigation flow sensitivity (MFS). By installing series capacitors at effective locations and determining compensation amounts by prioritizing the MFS, we can solve the power flow problems. We carry out simulations to confirm the validity of the proposed method.

Parallel deep reinforcement learning‐based power flow state adjustment considering static stability constraint

“…A practical active power flow adjusting method based on the sensitivity analysis of the DC load flow model is presented in [10]. The authors in [11] proposed the concept of mitigation flow sensitivity which is used to install series capacitors on non-heavily loaded lines to alleviate load differences among transmission lines. However, whether it is the optimal power flow or the index constructed, when applied to an actual large-scale power grid, the effect and convergence of the above methods are probably poor due to complex constraints and the large scale of the power grid.…”