The invention discloses a
power grid day-ahead optimization scheduling method based on
thermal inertia of a hot water network. The
power grid day-ahead optimization scheduling method based on
thermal inertia of a hot water network utilizes a traditional
power grid day-ahead optimization scheduling model which does not consider the
thermal inertia of a hot water network to simulate scheduling and search the serious period that a
wind driven generator stops working, and then utilizes the thermal
inertia of a hot water network to reasonably adjust the quantity of heat production for scheduling
simulation under the premise that the indoor temperature of a heat
consumer is satisfied, and can reduce the
heat supply power of a
cogeneration unit during the serious period that a
wind driven generator stops working, and can optimize and adjust the reduced
heat supply power to the no-serious period that a
wind driven generator stops working, so the adjustable scope of the power supply power of the
cogeneration unit during the serious period that a wind driven generator stops working can be increased so that more
wind power can access the network; and according to the adjusted quantity of heat production, power grid day-ahead optimization scheduling is performed again. Compared with the prior art, the power grid day-ahead optimization scheduling method based on thermal
inertia of a hot water network can improve the
utilization rate of wind
energy resources and reduce the generating cost under the premise that the indoor temperature requirement of the heat
consumer is satisfied.