@article{zha-zha-21-aa-multopt,
  author = {Hongfen Zhang and Youchao Zhang},
  title = {Research on Interval Multi-Objective Optimal Power Flow in {AC-DC} Systems Considering Wind Power Fluctuation},
  month = feb,
  year = 2021,
  doi = {10.1177/0309524X21992772},
  comment = {Uses AA to model power flow, combined with particle swarm},
  abstract = {Aiming at the influence of the uncertainty of power system operating parameters such as wind power fluctuation on AC-DC hybrid system, an interval optimal power flow calculation method based on interval and affine arithmetic is proposed in this paper. First, AC and DC interval power flow model is constructed based on the relationship between interval and affine arithmetic, and the uncertainties such as the new energy generation output of the system are expressed as interval variables; static security performance index (PI) is introduced in AC-DC multi-objective optimal power flow objective functions, which take the system’s power generation cost and network loss into account; the Pareto optimal solution set is distributed uniformly in space by using the particle swarm algorithm to solve the interval optimal power flow model. Finally, MATLAB simulation examples are used to verify that the method can optimize the system’s power generation cost, network loss and static safety index while considering wind power fluctuation.}
}