This invention belongs to the field of
power grid investment optimization technology, and relates to a
regional power grid investment optimization method based on a multi-
objective programming model. It includes the following steps: Step S1: Considering the decoupling requirements between
regional power grid investment and
electricity generation, a multi-dimensional parameter
system covering investment,
electricity generation, safety, and green / low-carbon parameters is constructed; Step S2: Based on the multi-dimensional parameter
system, a multi-
objective programming model is constructed to maximize the net present value of investment, maximize the
power grid safety margin, and maximize the investment-
electricity decoupling degree; Step S3: An improved multi-objective
particle swarm optimization algorithm is used to solve the model, and the
Pareto optimal solution set is output to obtain the optimal investment scheme. This invention quantifies the decoupling relationship between investment and
electricity generation through a multi-dimensional parameter
system, and optimizes the balance between economic efficiency, power supply safety, and
resource allocation efficiency using a multi-
objective model, solving the problems of excessive
coupling between investment and
electricity generation and insufficient functional value mining in existing planning.