5results about How to "Maximize consumption" patented technology

The invention discloses a cooperative control method for an airship array high-altitude wind power integrated power generation system for seawater hydrogen production. The cooperative control method comprises the following steps: 1) constructing each single energy system physical model; 2) integrating the single energy system models into a hybrid energy system model; the hybrid energy system model comprises a load model and a contact power deviation dynamic physical model between energy systems, and is used for describing the overall operation condition and the energy distribution condition of the hybrid energy system; 3) based on the hybrid energy system model, designing a tie line power and frequency deviation control model for detecting the frequency deviation and tie line power deviation of the hybrid energy system; and 4) according to the frequency deviation of the hybrid energy system and the tie line power deviation, adjusting a pre-formulated multi-energy power generation system complementary and cooperative control strategy, and solving an optimal output plan of each energy system so as to maximize the new energy consumption rate and improve the seawater electrolysis hydrogen production efficiency. According to the invention, the energy supply stability and reliability can be improved.

The present invention relates to a charging station scheduling method based on photovoltaic power generation prediction, comprising: obtaining historical user data of a target charging station, predicting the peak power consumption W1, flat power consumption W2 and valley power consumption W3 of the target charging station in a unit time according to the historical user data; optimizing and solving the prediction of the photovoltaic installed capacity R when P reaches the maximum value according to the peak power consumption W1, flat power consumption W2 and valley power consumption W3 of the target charging station in a unit time, and a preset optimization function P=[P1*(W1-L1)+P4*L1]+[P2*(W2-L2)+P4*L2]+[P3*(W3-L3)+P4*L3]; providing multiple charging modes during the charging process, and dynamically adjusting the charging parameters of the target charging station. Through the present invention, the utilization efficiency of the charging station is improved, and the charging costs of the charging station and users are reduced.

An information processing apparatus (50) capable of calculating an appropriate route for a vessel (1) including a wind power propulsion unit (10, 10A, 10B, 10C, 10D) configured to propel a hull (11) by wind power, and a vessel (1) is provided. An information acquisition unit (51) acquires area information that is created based on the operation information acquired in each area by another vessel (1B) and includes information relating to at least one of weather and hydrographic condition in the area. Since the area information is information based on an actual operation information of another vessel (1B), the area information more accurately indicates a state of the weather and hydrographic condition in each area than the weather / hydrographic condition forecast. Therefore, a route calculation unit (52) can calculate a route suitable for propulsion by wind power in consideration of the accurate state of weather and hydrographic condition for an area covering a wide range. From the above, it is possible to calculate an appropriate route for the vessel (1) including the wind power propulsion unit (10) configured to propel the hull (11) by wind power.

The invention discloses a medium-voltage direct-current off-grid new energy microgrid which comprises a plurality of medium-voltage direct-current sub-grids and a medium-voltage direct-current main grid distribution board, in each medium-voltage direct-current sub-grid, a new energy station and an energy storage device are connected to a low-voltage direct-current distribution board, the low-voltage direct-current distribution board is connected to a medium-voltage direct-current sub-grid distribution board through a first DC / DC boost converter, and the medium-voltage direct-current sub-grid distribution board is connected to a medium-voltage direct-current main grid distribution board through a second DC / DC boost converter. The medium-voltage direct-current sub-network distribution board is connected to the medium-voltage direct-current main network distribution board, the medium-voltage direct-current main network distribution board is connected with a DC / DC buck converter through a plurality of direct-current fuses, and the DC / DC buck converter is connected with an adjustable load. The invention further discloses a medium-voltage direct-current off-grid new energy microgrid control method. According to the medium-voltage direct-current off-grid new energy micro-grid and the control method thereof, on the premise that the operation safety and stability of the system are guaranteed, maximum consumption of new energy output is achieved, the cooperative control difficulty of the system is reduced, the dependence of system source-load interaction cooperative control on a communication and energy management system is reduced, and the power supply reliability is improved.

The application discloses a kind of fusion network reconstruction and real-time scheduling collaborative optimization method, device and equipment, it is related to power system dispatching control technical field, and the section flow prediction result is obtained by sensitivity matrix, and section flow prediction result is determined to exceed limit state, and can quickly determine limit section;Then in the case where section exceeds limit, with the target of eliminating overload and maximizing new energy consumption, network reconstruction optimization model is established and power supply network is reconstructed, obtains the power supply network after reconstruction, can quickly remove the hard constraint of line overload and section limit, finally constructs dispatching optimization model, and real-time AGC dispatching optimization is carried out to the power supply network after reconstruction using dispatching optimization model, can realize economic operation and consumption maximization, optimize resource allocation within the safe topological boundary, guide dispatching system to preferentially reduce traditional unit output, through the collaborative optimization of network reconstruction and real-time scheduling, effectively improve the adjustment speed.