The application discloses to belong to the technical field of power
system planning and optimization, and particularly relates to an optimization method for
distributed power generation and
energy storage joint planning in an active distribution network, comprising: a double-layer robust planning model considering
new energy output uncertainty is established, SOT is used to discretize the probability distribution of
wind power and photovoltaic into a probability sequence and calculate the expected output, and an uncertainty
processing mechanism is embedded to guide DG and
energy storage capacity configuration; a DG and
energy storage joint optimization model based on a double-layer planning framework is constructed, the upper layer optimizes
site selection and capacity determination with the minimum annual total cost as the target, the lower layer optimizes energy storage scheduling with the minimum
daily operation cost as the target, and planning and operation are coordinated; an improved BPSO monitoring
population fitness variance based on
chaos optimization is proposed, and Tent mapping chaos disturbance is dynamically introduced to realize efficient solution and
global optimization of the model. On the PG&E 69
bus system,
line loss can be reduced,
voltage distribution can be improved, and
new energy consumption capacity can be significantly improved.