32 results about "Low-carbon power" patented technology

The invention relates to a low-carbon intelligent park resource-load coordination optimization method, and the method comprises the steps: initializing time t as zero, and enabling the time t to serve as the start point; initializing parameters of all time periods, and inputting state data; calculating the total carbon emission of a conventional set in the time period, the carbon emission limit of this time period and the carbon excessive emission cost; calculating the power generation cost of the conventional set and the generalized cost of wind power, and obtaining resource-load coordination call cost; determining a target function and a constraint condition, and consuming large-scale wind power through adjusting the output of a thermal power generating unit. The method solves a problem of resource-load coordination optimization of a low-carbon power system with a wind farm, finds an optimal solution to an optimization model, and achieves the system safety, economic and low-carbon targets.

A DC micro-grid consistency sliding mode control method including bus voltage compensation and power distribution comprises: firstly, constructing an independently-operating DC micro-grid system, comprising an environment-friendly low-carbon power generation distributed power supply, an energy storage system and some DC loads commonly used by a micro-grid; presetting a bus voltage reference valueof the direct-current microgrid; providing the consistency sliding mode control method considering voltage regulation and current correction control. The controller controls the bus voltage when the system fluctuates, so that the bus voltage is recovered to a set value, the voltage and current values are regulated through sliding mode control, and high precision of load power distribution is achieved.

The invention discloses an overload adjusting method for a power transmission network. The method comprises that a shortest electrical distance between any two nodes in the power transmission network is obtained an a shortest path manner, and a shortest path set is formed; a line A0B0 is determined to be overloaded, and according to the shortest path set, a nearest node A1, a second nearest node A2 to a farthest node Am of the node A0 as well as a nearest node B1, a second nearest node B2 to a farthest node Bm of the node B0 are obtained; and output adjustment is carried out on a normal thermal plant set. According to the invention, nearby adjustment is carried out via the shortest path manner, thereby rapidly reducing the overload of the line with fewer adjustment times, and minimizing the influence of line overload on the operation stability of the electrical network; and fossil fuel consumption and corresponding carbon discharge caused by generating set adjustment are considered, so that output power of the normal thermal generating set is adjusted in priority, waste of clean low-carbon power supply as water and wind power is avoided as possible, and the influence of line overload on carbon discharge of a system is minimized.

The invention relates to a new energy and coal-fired power plant coupled low-carbon power generation system using green ammonia as a carrier, which belongs to the field of new energy power consumption and coal-fired power plant carbon reduction, and comprises an energy power generation device, an electrolytic hydrogen production tank, an air separation device, an ammonia synthesis tower, an ammonia supply system, an ammonia burner and a pulverized coal boiler, the output end of the energy power generation device is connected with power interfaces of the electrolytic hydrogen production tank and the air separation device, a hydrogen outlet of the electrolytic hydrogen production tank is communicated with a hydrogen inlet of the ammonia synthesis tower, and a nitrogen outlet of the air separation device is communicated with a nitrogen inlet of the ammonia synthesis tower. An ammonia burner is arranged on the wall face of a hearth of the pulverized coal boiler, green ammonia synthesized by the ammonia synthesis tower is conveyed to the ammonia burner through an ammonia supply system and finally sprayed into the pulverized coal boiler to be burnt, and part of fire coal is replaced. Green hydrogen and green nitrogen are prepared by using new energy electric power, then green ammonia which is more convenient to convey and store is synthesized, and finally the green ammonia is outwards conveyed as an energy carrier, so that the problem of new energy grid-connected conveying is effectively relieved.

The invention discloses a loss reduction quantitative empirical method for an energy-saving transformer based on electricity quantity loss amortized computation and belongs to the field of power distribution network low-carbon power research. The loss reduction quantitative empirical method includes the following steps of 1, measuring of network electricity quantity losses; 2, collection of measuring point loads of the head segment of a circuit; 3, demonstration of the loss-reduction effect. The electricity quantity loss value is converted to the same benchmark, quantitative comparison of energy-saving electricity quantity is achieved, real energy-saving electricity quantity obtained after the energy-saving transformer is mounted can be obtained, the loss-reduction effect of the energy-saving transformer is quantified, it is beneficial to popularization of the energy-saving technology, and a theoretical basis is provided for energy conservation and emission reduction work of the nation.

The invention discloses a negative carbon emission system and a method thereof. Carbon dioxide molecules can be fixed by growing plants through plant photosynthesis. When the wavelength of photons that cause the plant synthesis are properly designed to enhance plant photosynthesis of plants. A LED light source, whose carbon footprint is lower than a threshold value and the conversion efficiency ishigher than a threshold value, is adopted. A low carbon power supply with carbon footprint lower than a threshold value such as a solar panel is used. When the combination is realized, carbon dioxidemolecules absorbed by plants through photosynthesis are more than emitted carbon dioxide molecules, long term negative carbon emission is realized, and the system can be used to capture carbon dioxide.

The invention provides a low carbon power grid planning method considering demand side management. The method comprises the following steps of (1) establishing a low carbon power grid planning mode; and (2) establishing a low carbon power grid planning model. In the invention, influences of the demand side management and low carbon development on power grid planning are analyzed. From four aspects of basic data collecting, power load forecasting, electrical check calculation and economic evaluation, the influences of the demand side management and low carbon development on a power grid planning process are specifically analyzed. Competitiveness of a low carbon power supply can be increased, low-carbon performance of a power supply structure is promoted, an integral low carbon level of a system is promoted too and energy saving low carbon development is realized.

The invention discloses a low-carbon power machine which is formed by combining a box body or N box bodies. A motor, a generator, a centralized controller and a battery pack are installed on the box body; the motor is in power connection with the input shaft end of a boosting transfer mechanism device; the generator is in power connection with the output shaft end of an output rotating speed fine tuning device; the battery pack is electrically connected with the input end of a centralized controller device; the generator is electrically connected with the input end of the centralized controller device; the output end of the centralized controller device is electrically connected with the motor; the output end of the centralized controller device is electrically connected with a battery pack charger; the centralized controller device is provided with an inverter, a frequency converter, a transformer, a charger, a component and a circuit board; and the boosting transfer mechanism device is provided with two groups of crank shafts which are symmetrical right and left and are overlapped in the upper layer and the lower layer, connecting rods, levers and clutches which are organically combined. The invention has the advantages of high power output efficiency, low carbon, energy saving, zero emission and beneficial small, medium, low-power and high-power development and production.

The invention discloses a rolling optimization scheduling method based on self-adaptive change of energy scheduling time. The method comprises the following steps: S1, establishing a power load model and an energy output model; s2, determining a multi-objective function of the low-carbon power generation dispatching model by taking the lowest power generation energy consumption and the lowest carbon emission of the power system as optimization objectives; s3, the low-carbon power generation dispatching optimization model with the double optimization targets can be converted into a single objective function with the goal of minimizing the total electric energy production cost represented by the power generation energy consumption and the total carbon emission cost of the power system; s4, introducing feedback control, and correcting a current scheduling strategy by using a real-time measurement value to reduce scheduling deviation; and performing rolling optimization on the target function. According to the scheme, on the premise of ensuring the safety and stability of the power system, the operation cost of the novel power system can be reduced, and the economy and safety of system operation are improved.

The invention discloses a solar health water cup. The solar health water cup comprises a cup body and an intelligent controller, wherein the intelligent controller is embedded into the outer surface of the lower part of the cup body; a solar battery panel is arranged at the upper part of the intelligent controller; a display screen is arranged under the solar battery panel; control press keys are arranged under the display screen; a horn is arranged at the lower part of the intelligent controller; the lower part of the side surface of the intelligent controller is provided with a USB (universal serial bus) interface; an electronic control module and a rechargeable lithium battery are arranged in the intelligent controller; the current converted by the solar battery panel is stored into the rechargeable lithium battery via the electronic control module. The solar health water cup has the advantages that the structure is simple, the environment-friendly and low-carbon power supply function of the solar battery panel is realized, the control press keys are manually controlled to set the water drinking amount, the operation is simple and easy, and the understanding of operation methods is easy for users.

The invention discloses a source network load storage multivariate ubiquitous optimization scheduling method for clean energy consumption. The method comprises the following steps: S1, determining a target function of a day-ahead low-carbon power generation scheduling model; s2, setting constraint conditions of the day-ahead low-carbon power generation dispatching model; s3, converting the low-carbon power generation dispatching optimization model into a single-target optimization model; s4, establishing a quantitative model of the carbon emission external cost; s5, establishing a risk assessment model, determining the operation risk indexes of the power system, calculating the weight omega E of each index by using an entropy method, calculating the weight omega A by combining an analytic hierarchy process, obtaining the final weight omega, and solving the safety comprehensive risk value of the power system in each time period; and S6, calculating a weight coefficient in the objective function based on a linear weighting method of a zero-sum game, and substituting the weight coefficient back into the original dual-objective optimization model to obtain an optimal power generation plan. According to the scheme, the carbon emission can be greatly reduced, and the method has guiding significance for establishing a lower-energy-consumption strong smart power grid.