most citedTwo-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process

107 citations · 183 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2019★ 29 cited

Security-Constrained Multi-Objective Optimal Power Flow for a Hybrid AC/VSC-MTDC System with Lasso-based Contingency Filtering

Yahui Li, Yang Li

In order to coordinate the economy and voltage quality of a meshed AC/VSC-MTDC system, a new corrective security-constrained multi-objective optimal power flow (SC-MOPF) method is…

math.OC2018★ 12 cited

Two-Step Many-Objective Optimal Power Flow Based on Knee Point-Driven Evolutionary Algorithm

Yahui Li, Yang Li

To coordinate the economy, security and environment protection in the power system operation, a two-step many-objective optimal power flow (MaOPF) solution method is proposed. In s…

math.OC2018

Optimal Power Flow for AC/DC System Based on Cooperative Multi-objective Particle Swarm Optimization

Yahui Li, Yang Li, Guoqing Li

In order to unifiedly coordinate economy and voltage deviations, a novel multi-objective optimal power flow (MOPF) algorithm is proposed for an AC/DC system with VSC-HVDC based on…

eess.SY2018★ 35 cited

Online Static Security Assessment of Power Systems Based on Lasso Algorithm

Yahui Li, Yang Li, Yuanyuan Sun

As one important means of ensuring secure operation in a power system, the contingency selection and ranking methods need to be more rapid and accurate. A novel method-based least…

math.OC2018★ 107 cited

Two-stage multi-objective OPF for AC/DC grids with VSC-HVDC: Incorporating decisions analysis into optimization process

Yang Li, Yahui Li, Guoqing Li +2

A two-stage solution approach for solving the problem of multi-objective optimal power flow (MOPF) is proposed for hybrid AC/DC grids with VSC-HVDC. First, a MOPF model for hybrid…