44results about How to "Full consumption" patented technology

The invention relates to a low cost and high efficient soundproof material and a manufacturing method thereof, relates to the field of soundproof materials, solves the problems that in the prior art, soundproof materials do not have a prominent soundproofing effect, generate harmful gas, which can harm the human health, and have a high cost; and provides a low cost and high efficient soundproof material. The soundproof material comprises thermoplastic resin and an inorganic filling material, wherein the surface of the inorganic filling material has been processed by a coupling agent processing liquid, the inorganic filling material accounts for 15 to 80 wt% of the total weight of the soundproof material, and the balance being thermoplastic resin. In the soundproof material, the connections among the particles are abnormal, thus the internal friction of the incident sound waves is increased by the structure of the soundproof material, and a relaxation effect is generated to absorb the sound waves. Filling materials with different particle sizes are corresponding to waves in different wavelengths or frequencies, so the soundproof material can reduce sounds in different frequencies. Moreover the soundproof material has a good soundproof effect and is suitable for being promoted and used.

The invention discloses an operation optimizing method capable of coordinating operation risk and wind energy consumption of a power system. The method comprises the steps of 1) predicating a load model of the power system, building a wind power model, and forming a net load power model according to the determined load model and the wind power model; 2) building a right end tail part risk related net load sample and a clockwise rotating backup model, determining that the power does not meet the expected value, building a left end tail part risk related net load sample and an anticlockwise rotating backup model, and determining to remove expected wind quantity value; 3) providing weight coefficients according to step 2), substituting into penalty terms, and building an economic dispatch model; 4) solving the economic dispatch model of the step 3) to obtain the primary dispatch operation mode of the power system; 5) predictably improving the wind speed, enabling the wind power predication model to reach accuracy, modifying the dispatch operation mode obtained in step 4) so as to obtain the optimal operation mode through which the wind power predication information can be fully utilized and the risk can be resisted.

The invention relates to the field of products of sound insulation material, solves the problems in the prior art that the sound insulation material is poor in sound insulation effect, is incomprehensive in high and low frequency sound insulation, causes pollution and is easy to age, and provides an efficient sound insulation material and a manufacturing method thereof. The efficient sound insulation material includes a sound insulation layer, a sound absorption layer, and a bubble layer, wherein the bubble layer is located between the sound insulation layer and the sound absorption layer. The sound absorption layer is made of a sound insulation compound, and the sound insulation compound is prepared by raw materials of the following substances: a thermoplastic resin, inorganic fillers, and a foaming agent, wherein the inorganic fillers account for 15-80wt%, the foaming agent accounts for 5-15wt%, and the rest is the thermoplastic resin. In the efficient sound insulation material, the fillers with different particle diameters correspond to sound waves of different wave bands or frequencies, and thus consumption of sound energy of different frequencies is relatively comprehensive, and the sound insulation effect is good, so the sound insulation material is suitable for popularization and application.

The invention discloses an active power distribution network source network load storage collaborative optimization operation method based on a multi-scene technology. The method comprises steps of firstly carrying out scene division of the active output of distributed renewable energy power generation based on the multi-scene technology, and considering the uncertainty of the active output of the distributed renewable energy power generation; secondly, an active power distribution network source network load storage collaborative optimization model being established with the lowest intra-day comprehensive operation cost of the active power distribution network as the target, and on the basis that only the source load storage collaborative optimization operation model is considered, the load storage collaborative optimization model being established; network reconstruction, reactive power output of a distributed renewable energy power generation inverter and an energy storage inverter and collaborative optimization operation of active power output of distributed renewable energy power generation being also considered, and collaborative optimization operation of active power distribution network source network load storage being realized; and finally, for the active power distribution network source network load storage collaborative optimization model, combining with a particle swarm optimization algorithm to solve a mixed integer programming problem.

The present invention discloses a multi-time-scale active-reactive control method for a multi-source coordinated active distribution network. The method comprises the following steps: (1) wind power,photovoltaic and load power sequences are predicted; (2) uncertain sampling of the source-load prediction error is performed to obtain a scene set covering the entire sampling space; (3) the scene isreduced by the synchronous back substitution reduction technology and a typical scene set is obtained; (4) in a long-time-scale scheduling phase, a control solution for adjusting the device with a limited adjustment times and the charge and discharge state of energy storage are obtained; (5) in a short-time-scale scheduling phase, scheduling instructions for quickly continuously adjusting devicesare solved; (6) in a real-time control phase, the adjustable devices are sequentially adjusted based on the sensitivity analysis of the node voltage so that the safe and stable operation of the powernetwork is ensured. By using the method of the present invention, the coordinated optimization operation of the adjustable devices in the active distribution network and full consumption and efficientutilization of the renewable energy can be realized.

The invention discloses a random production simulation method taking participation of various power supplies in peak load regulation and application thereof. The random production simulation method comprises the following steps: 1) acquiring an annual load curve; 2) removing annular output of wind power, photovoltaic power and nuclear power from the annular load curve to obtain a continuous load curve, and partitioning the continuous load curve into a base load, a shoulder load and a peak load according to an annual load level; 3) building an equivalent electric quantity function according tothe continuous load curve; and 4) realizing output of a thermal power unit and a hydropower unit at different stages according to the equivalent electric quantity of the base load, shoulder load and peak load to obtain random production simulation data of a power system. Compared with the prior art, the random production simulation method has the advantage of improving the peak load regulation capability of a regional power grid.

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.

The invention discloses a photovoltaic capacity configuration method suitable for a cascade water-light complementary energy power generation system. The photovoltaic capacity configuration method comprises the steps: a peak load curve and a base load curve of a typical load of the power generation system is generated; a photovoltaic power generation output probability model based on k-means is established; based on the peak load curve, the base load curve and the photovoltaic power generation output probability model and through establishing an operation simulation model of the cascade water-light complementary energy power generation system, the power generation income of the complementary energy power generation system can be calculated; based on the calculated power generation income and through establishing an investment cost income of the complementary energy power generation system, the photovoltaic installed capacity with the maximum net income is selected as the optimal configuration capacity of the power generation system. Thus, configuration of photovoltaic capacity of a cascade hydropower energy base can be achieved, resource waste caused by excessive photovoltaic investment is avoided, and meanwhile the investment income of a cascade water-light complementary energy power generation system is maximized.

The invention discloses a regional complex two-stage economic dispatching method considering water-light-storage complementation. The method comprises the following steps: combining a plurality of regions which comprises a solar power station, a pumped storage power station, an interruptible load and a transferable load into a regional complex; constructing an internal optimization function of theregional complex, and obtaining a decision result of the regional complex through the optimization function; optimizing the decision model through the scheduling center according to the decision result of the regional complex to obtain a scheduling decision result of the scheduling center; according to the decision result of the regional complex and the scheduling decision result of the scheduling center, determining the calling of controllable elements in the regional complex and the transaction condition between the regional complex and the outside; and determining a scheduling strategy ofthe scheduling center according to the calling of the controllable elements in the regional combination body and the transaction condition of the regional combination body and the outside to obtain ascheduling plan. According to the invention, the cost of the regional combination body is reduced, the absorption capability of the water-light storage system for new energy is improved, and the source electricity quality is improved at the same time.

A wind-solar-storage complementary system demand response strategy based on correlation analysis comprises the following steps: selecting a load tracking coefficient to analyze the correlation betweenvarious power supply signals and loads in a wind-solar-storage complementary system; establishing a demand response basic theoretical model based on a demand price elasticity theory; establishing a wind-solar-storage complementary demand response optimization model based on correlation analysis; and solving the established wind-solar-storage complementary demand response optimization model by adopting a particle swarm algorithm. An electricity price strategy is used as a random particle, and an optimal real-time electricity price strategy is solved by continuously optimizing the indexes including the load peak-valley difference, the average electricity price difference and the load tracking coefficient after the demand response, so that a load curve is matched with a wind-solar-storage complementary power generation curve to the maximum extent, and the purpose of fully consuming the output of the wind power on the power generation side is achieved. According to the invention, full consumption of new energy on the power generation side can be realized.

The invention discloses a multi-level control method for a high-proportion photovoltaic access alternating-current and direct-current hybrid microgrid. A system is sequentially divided into three levels, namely a microgrid local control layer, a PET power flow control layer and a power distribution network area control layer. A typical scene set is generated according to the uncertainty of photovoltaic output, and photovoltaic and energy storage devices are bundled to serve as a control main body to complete the control of the level 1; a PET control mode is set according to the network type connected with the PET port, and a PET port control variable is adjusted to complete the control of a layer 2; and other flexible controllable resources in the superior power grid area are adjusted according to the control result of the level 1 to complete the control of the level 3. The method has high flexibility and practicability, photovoltaic output uncertainty, system voltage quality and operation economy are considered, different control targets are set for different levels in the AC-DC hybrid microgrid, the autonomous operation capability of each microgrid area is utilized, the control difficulty is simplified, and interconnection interaction and coordination control among the micro-grid areas are realized.

The invention discloses an efficiency-considered multi-objective optimization scheduling method for an ORC-containing park integrated energy system. The method comprises the following steps: step 1, constructing the park integrated energy system; step 2, constructing a multi-objective optimization scheduling model; and step 3, aiming at the multi-objective optimization scheduling model in the step 2, solving by adopting an NSGA-II algorithm. According to the dispatching method, bidirectional coupling between the power grid and the heat supply network is achieved, the economic cost and carbon emission of the system are reduced, and the wind power and photovoltaic absorption capacity is effectively improved.

The invention belongs to the field of recycling of urban and industrial waste resources, and particularly relates to a modified concrete brick containing sludge gasification dry distillation slag anda preparation method thereof. The modified concrete brick is prepared from the following raw materials in percentage by mass: 50%-70% of the gasification dry distillation slag, 15%-25% of cement, 10%-15% of water and 0.01%-0.05% of an accelerant, wherein the ratio of powder to slag in the gasification dry distillation slag is (1-2): 3. The preparation method comprises the following steps: airing the gasification dry distillation slag until the moisture content is less than or equal to 10%, passing through a double-roll crusher, controlling the particle size of coarse particles to be 5-15mm, screening out powder by virtue of a 3mm sieve, weighing cement, the gasification dry distillation slag, the accelerant and water, and uniformly mixing the cement, the gasification dry distillation slag,the accelerant and water; and pouring the mixture into a mold, performing compression molding, demolding, and performing natural curing. The municipal sludge is dried, granulated and gasified to obtain the sludge gasification dry distillation slag, and the sludge gasification dry distillation slag is used as a raw material for preparing the modified concrete brick, thereby being beneficial to environmental protection and lowering the production cost of factories.

The invention relates to a high-chromium-slag detoxification formula and a synergistic light aggregate production process. The formula comprises the following raw materials in percentage by mass: 60-80% of chromium slag, 15-40% of aluminum-silicon concentrate and 1-5% of a compound additive. The aluminum-silicon concentrate comprises one or more of clay, potassium feldspar, quartz, aluminum oxide, flint clay, mullite and kaolinite. And the compound additive plays a role in reduction and fluxing. The raw materials are dried, metered, crushed, ball-milled, granulated, fired and screened to obtain a fired lightweight aggregate product. Compared with the prior art, the specific gravity of the chromium slag in the formula is increased to 80%, the firing temperature is reduced to 900-1000 DEG C on the basis that hexavalent chromium in the fired lightweight aggregate product is thoroughly reduced and cured by adding the compound additive, and trivalent chromium cannot be oxidized due to temperature reduction under the condition of no cooling process. On one hand, thorough harmlessness of the chromium slag is achieved, and on the other hand, complete recycling of the chromium slag is achieved.

The invention discloses a time sequence simulation method for making a monthly electric energy transaction plan in consideration of multiple energy sources, belongs to the technical field of monthly electric energy transaction plan making of an electric power system, and comprises the following steps of: firstly, establishing a monthly electric energy transaction plan modeling strategy according to the actual demand of the monthly electric energy transaction plan: proposing a monthly electric energy transaction plan modeling method and constructing a monthly electric energy transaction plan model structure; secondly, modeling each part of the model according to an established monthly electric energy transaction plan modeling strategy: a plan monthly model cost function part, a plan monthlymodel constraint condition part, a subsequent monthly model cost function part, a subsequent monthly model constraint condition part and a whole-year electric energy production fair constraint part;and finally, optimizing and solving the model to obtain a final monthly electric energy transaction plan. The time sequence simulation method is introduced into monthly electric energy transaction plan making, staged modeling is carried out according to plan months and subsequent months, and finally a monthly electric energy transaction plan model capable of guaranteeing feasibility and fairness is obtained.

The invention relates to a smart energy management and control system based on a cloud platform. The system comprises the following steps: building a Spark platform in a central cloud server, storingreal-time data through employing a NoSQL database, analyzing and processing a real-time data flow based on a cloud computing method, classifying a data source in the Spark platform through employing aTwitter Storm real-time data processing framework, extracting the processed, analyzed and fused data into an edge cloud server through a 5G network, and carrying out training and modeling; and enabling an application end to integrate the algorithm model established in the edge cloud server with the data of the central cloud server, and scheduling the whole new energy power generation system through an AI algorithm to form a closed-loop energy cloud scheduling system. According to the invention, wide interconnection with a power supply terminal, a user terminal and other parties is realized, new energy planning and layout are effectively guided, and positive effects in aspects of promoting new energy scientific development, ordered grid connection, high-efficiency consumption and the likeare achieved.