Decision-making based on two-stage bi-level multi-objective particle swarm optimization algorithm for power transmission and transformation project approval

A two-stage multi-subject decision-making model is built for the approval of power transmission and transformation projects and the determination of implementation scheme, which includes two stages (project approval, decision-making) and five indices (security, economy, environmental friendliness, adaptability, coordination). A two-stage multi-objective particle swarm optimization algorithm is proposed to calculate the optimal Pareto solution of the model. A comprehensive evaluation method is adopted to select the optimal implantation scheme. Case study demonstrates the validity and effectiveness of the proposed model.