Research on Optimization Model of Power Grid Project Investment

For the multi-criteria decision-making problem of portfolio investment in power grid construction projects, the modern portfolio theory is used to construct a portfolio optimization model based on adaptive particle swarm optimization algorithm under the constraints of power demand, grid enterprise investment capability and reliability level in this paper. For the shortcomings of slow convergence and long operation time of particle swarm optimization, the change of inertia weight is used to change the update mode of particle position, which improves the convergence speed of the algorithm. The portfolio optimization model provides an applicable decision-making method for complex grid optimization investment decisions, and builds a complex grid optimization investment decision management process based on power demand and investment capability.