138results about How to "Improve consumption level" patented technology

The invention relates to a regional energy internet multi-source coordinated optimization operation strategy considering time-of-use power price. The strategy is technically characterized by comprising the following steps that step 1, the initial data parameter of a regional energy internet system is inputted; step 2, cold / heat / electric flexible load response under the time-of-use power price is analyzed, and two classes of response models of cold / heat / electric flexible load are constructed; step 3, a regional energy internet system optimization scheduling model of the minimal economic cost and the operation constraint conditions thereof are constructed; and step 4, the regional energy internet system optimization scheduling model of the minimal economic cost is solved by using a Hessian interior point method. The regional energy internet renewable energy consumption level can be enhanced, and the strategy is also significant for realizing economic and safe operation of the system.

The invention provides a method of solving a robust two-layer optimization model based on wind power prediction and demand response. The robust two-layer optimization model comprises a unit combination optimization model and an economic dispatching optimization model. The method comprises steps: the unit combination optimization model is built; according to the unit combination optimization model, the economic dispatching optimization model is built; and according to the economic dispatching optimization model, the robust two-layer optimization model is built and solved. The robust two-layer optimization model provided by the invention comprises the unit combination optimization part and the economic dispatching optimization part, and considered from two aspects of a power generation side and a demand side, the method of the invention improves the wind power absorption level and solves the problem of uncertainty of wind power output.

The invention discloses a joint planning method for a wind power plant, a power transmission network and energy storage based on a chance-constrained IGDT, which comprises the steps of firstly acquiring wind power plant planning data, energy storage planning data, basic technical data of the system, system operation constraint data and system operation prediction data, and then constructing a joint planning model objective function of the building lower bound of the wind power plant, and building model decision-making constraints; then constructing a joint planning model objective function ofthe building upper bound of the wind power plant, and building model constraints; respectively solving the joint planning model objective functions of the building upper bound and lower bound of the wind power plant according to the a solving algorithm based on the Benders decomposition strategy, and acquiring the optimal planning solution for planning. Compared with a single-aspect planning method, the joint planning method provided by the invention has better economy and wind power utilization efficiency and can better meet various requirements of the system operation, thereby greatly improving the consumption level of wind power, and increasing the investment income of wind power.

The invention discloses a multi-type energy storage joint planning method based on stochastic fluctuation of new energy. The method comprises the following steps: acquiring multi-type energy storage planning data, system basic technical data, system operation constraint data and system operation prediction data; constructing a joint planning model for determining multi-type energy storage locatingand sizing; and solving the joint planning model to obtain the investment and construction quantity / capacity of energy storage equipment of each node to be selected, the investment and operation costof the construction plan under different abandon new energy risk and new energy absorption rate, as well as the electricity utilization rate and capacity utilization rate, and realizing optimal locating and sizing of the energy storage equipment according to the above data. The multi-type energy storage joint planning method disclosed by the invention has higher economical and energy storage utilization efficiency than a single-type energy storage planning method, and can better meet various requirements of system operation, thereby greatly improving the consumption level of new energy.

The invention provides an evaluation method and equipment for absorption of a power grid for new energy power generation, and relates to the technical field of new energy power generation. The evaluation method comprises the steps of acquiring data corresponding to the power grid; determining an input state; performing operation simulation on the power grid by adopting a multi-period direct current optimal power flow model considering peak regulation constraints of the power grid according to the input state to acquire an output state of the power grid, wherein the output state of the power grid comprises an economic index, a new energy absorption index and a power grid line utilization index; performing evaluation on the state of the power grid according to the economic index, the new energy absorption index and the power grid line utilization index, and proposing an expansion planning scheme of the power grid according to an evaluation result. According to the invention, the uncertainty of new energy output power can be effectively considered, the output state of the existing power grid is provided quantitatively, evaluation is performed on the state of the power grid by using various indexes, and the total cost of the power grid can be effectively reduced and the new energy absorption level of the power grid can be improved by using the power grid expansion planning scheme proposed under guidance of the state.

The invention provides a wind - hydrogen coupling power generation system optimization method and device thereof. The method comprises the following steps: establishing an optimization model of a wind-hydrogen coupling power generation system based on the energy conversion of the wind-hydrogen coupling power generation system and a time recursive constraint of a hydrogen storage system; determining a daily operating profit model of the hydro-hydrogen coupling power generation system according to the established optimization model; optimizing a conversion of electric energy and hydrogen energy of power grid and hydrogen production system in wind-hydrogen coupling power generation system based on a run-day revenue model of wind-hydrogen coupling generation system; adjusting the wind - power output in the run-day revenue model of the wind - hydrogen coupling power generation system, analyzing a new energy consumption of the grid after the introduction of hydrogen production system, and an economic index of the wind-hydrogen coupling power generation system; optimizing system parameters according to the analysis of the new energy consumption of the grid after the introduction of hydrogen production system, and the economic index of the wind-hydrogen coupling power generation system; using hydrogen as a buffer hydrogen to be a by-product, balancing new energy output of each period, increasing system revenue, and improving the level of consumption.

The invention discloses a method for establishing a comprehensive energy system random optimization model considering scene simulation. The method comprises the following steps: processing uncertaintyof wind-solar power supply output and thermoelectric load prediction by using a scene analysis technology in random optimization; carrying out latin hypercube sampling according to source load probability distribution to obtain various operation scenes in different time periods through simulation, then carrying out clustering reduction on the scenes through a Kmeans clustering algorithm, and therefore constructing a typical operation scene set used for system operation optimization. Based on operation scene set, the overall economy of system operation is taken as a target; meanwhile, the overall energy efficiency level and the new energy consumption capability of the system are considered, a distributed comprehensive energy system random optimization model is constructed, a random optimization problem is converted into a deterministic optimization problem in different operation scenes, operation strategies in different optimization periods are generated, the model complexity is simplified, and the economy and the safety stability of the system under the influence of uncertain factors are guaranteed.

The invention discloses an AGC system with wind power participating in peak-shaving and frequency modulation and a control method. A wind power control module is established at a split dispatching AGCend, and a virtual wind power unit corresponding to each provincial dispatching is established in the wind power control module, so as to implement the indirect control of wind power of each provincial dispatching in an area. A wind power control module is established in provincial dispatching AGC to implement wind farm power control. In the split dispatching AGC, a rolling plan is first made onpower generation indexes of each provincial dispatching wind power, the output stability of the virtual wind power units and the stability of the power generation indexes are detected at the same time, and if the virtual wind power units meet that the output and the power generation indexes are both stable, a peak-shaving and frequency modulation mode can be enabled. In the peak-shaving and frequency modulation mode, ACEs are allocated to each virtual wind power unit according to a given ratio. The virtual wind power units are then added with the ACE allocation amount as the frequency modulation increment on the basis of the power generation indexes to obtain the overall control objective, and the provincial dispatching AGC controls the wind farms in the area according to the total controlobjective.

In one embodiment, the present invention includes a method for determining process corner information of an integrated circuit (IC) and controlling at least one analog current for at least one analog circuit of the IC based on the process corner information. More specifically, if the process corner information is indicative of a fast corner IC, the analog current may be scaled down. At the same time that the analog current is scaled down, a current consumption level of digital circuitry of the IC may increase. In this way, overall power consumption of the IC may be reduced to the extent that the analog current(s) are scaled.

The invention discloses a combined decision method for power generation plans of a multi-type power supply. The multi-type power supply includes a power generation system composed of thermal power, wind power and hydropower. According to the combined decision method, an optimal start / stop state of a thermal generating set is selected according to requirement information of the power grid as well as a power balance analysis result; an optimization model coordinated with the multi-type power source is established, active output of wind power-thermal power-hydropower sets is optimized in a combined manner; and the safety of an active output plan of the multi-type power supply is checked, a start / stop plan of a thermal power set is corrected by iteration, and a combined power generation plan of the multi-type power supply is generated finally. According to the method, wind power prediction data is introduced into power balancing, start / stop of the thermal power set is arranged in advance, and a peak-clipping and valley-filling function of a hydropower set is used, so that a combined decision for a power generation plan for the thermal power, wind power and hydropower included power supply is realized, the generating amount of the thermal power set is replaced or reduced, and the clean energy consumption level of the power grid is improved.

The invention discloses an optimization operation method for a multi-energy power system based on power complementary characteristic analysis. The method is characterized by comprising the steps: establishing a complementary mechanism of multi-energy complementary coordinated power generation in a multi-energy power system; constructing a mathematical model of a complementary index system and a complementary demand based on the complementary mechanism; defining a renewable energy complementary power supply; calculating the required matched water and electricity capacity ratio in the renewableenergy complementary power supply with the minimum complementarity demand as the target; formulating a hierarchical optimization operation strategy of the multi-heterogeneous energy power supply according to the complementarity index; solving the optimization objective function corresponding to each optimization layer by using a particle swarm algorithm, and calculating the output power value of the multi-heterogeneous energy power supply capable of enabling the complementarity index to reach the optimum at each time period. The method is scientific, reasonable, simple and practical, and is capable of improving the renewable energy consumption level.

The invention provides a flexible load scheduling model in a load aggregator and wind power farm coordinate operation mode. The model includes the steps: (1) taking power load governed by a load aggregator as an object to determining flexibility of the load; (2) building the load aggregator and wind power farm coordinate operation mode; (3) taking the consumption requirement of a wind power farm as a basis by a load aggregator, taking a maximum benefit as a goal and building a day-ahead optimal scheduling model. The model is beneficial to guidance of the load aggregator to aggregate the flexible load to participate in a power market, so that wind power consumption level is improved, and all-win of the wind power farm, the load aggregator and a user is realized.

The invention discloses a new energy consumption evaluation method based on a minimum load shedding model. The method mainly comprises the following steps: 1) obtaining data of an electric power system within T years, and constructing an electric power system N-1 preconceive fault set; 2) building a typical operation scene of the electric power system; 3) performing optimized dispatching on a hydropower station of the electric power system, so that the power system can meet a normal operation constraint condition in a normal operation state; 4) inputting electric power system data into a minimum load shedding model to obtain an expected value of the minimum load reduction amount, so that the electric power system meets a fault state constraint condition under the N-1 preconceive fault state; 5) calculating to obtain a new energy penetration rate upper limit and a new energy consumption capacity; and 6) establishing a relation curve of the new energy penetration rate and the expected value of the minimum load reduction amount. The method is suitable for hydroelectric rich regions. According to the method in the invention, the power supply flexibility in the system is fully considered, the new energy consumption level is improved, and the new energy consumption capability of the system is accurately evaluated.

The invention discloses an electric hydrogen comprehensive energy system considering seasonal hydrogen storage and a robust planning method thereof, and the method comprises the steps: establishing across-seasonal hydrogen storage model, and enabling the model to achieve the cross-seasonal complementation according to the difference of renewable energy output and multi-energy demands in differentseasons; secondly, performing modeling on a gas turbine, a draught fan, a photovoltaic device, an energy storage device and the like, and therefore forming the electricity-hydrogen comprehensive energy system with the multi-energy requirements of electricity, heat, cold, hydrogen and the like. According to the three-layer min-max-min robust programming model considering renewable energy output uncertainty, the inner layer adopts a 0-1 variable to represent a cross-seasonal storage charging and discharging state, so that the model needs to be solved by adopting an N-C & CG algorithm. Results show that the method effectively improves the renewable energy permeation level of the electric hydrogen comprehensive energy system, and improves the system economy.

The invention discloses a comprehensive evaluation method for a power grid planning scheme under a wind power grid connection condition, and belongs to the field of power system planning scheme evaluation. The method comprises the following steps of firstly, establishing a to-be-evaluated power grid planning scheme set, then constructing a power grid planning scheme comprehensive evaluation indexsystem comprising five evaluation dimensions and three evaluation levels, and setting the weight of each evaluation index; calculating a score value of a technical layer evaluation index for each to-be-evaluated power grid planning scheme, further obtaining a comprehensive evaluation value of each to-be-evaluated power grid planning scheme, and obtaining a power grid planning scheme with optimal comprehensive evaluation. According to the method, the influence of large-scale wind power grid connection on power grid planning can be considered, and the most reasonable power grid planning scheme is obtained, so that the wind power consumption level is improved, and the operation safety and efficiency of a power system are improved.

The invention relates to the technical field of electricity side bidding optimization, in particular to a bidding optimization method considering cross-region consumption of renewable energy sources.The method comprises the following steps of 1, building cost models of a non-renewable energy resource power station and a renewable energy resource power station in cross-region consumption; 2, building quotation models of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 3, building income models of day-ahead markets of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 4, building income models of intra-day markets of the non-renewable energy resource power station and the renewable energy resource power station in cross-region consumption; 5, judging whether ultra-high-voltage line supply and demand meet an ultra-high-voltage line supply and demand balance constraint condition or not; and 6, solving a balance problem with a balance constraint. According to a simulation result, the incomes are maximized by changing corresponding quotation parameters; the consumption level of the renewable energy source power station is improved through the ultra-high-voltage line; and both the non-renewable energy resource power station and the renewable energy resource power station achieve relatively high incomes.

The invention provides a trans-regional connecting line transaction optimization method based on SCUC (Security Constrained Unit Commitment). The method comprises steps of setting parameters of power grids, units and trans-regional connecting lines of input and output areas; selecting a trans-regional power transaction planning method; and establishing an input-output unite security constrained unit commitment model and optimizing model calculation. The technical scheme provided by the invention improves the pertinence of power transaction planning of different regions and different power types, can estimate whether the capacity of the trans-regional connecting line meets expansion requirements or not, and provides the technical support for connecting line capacity expansion.

The invention provides a two-stage optimal dispatching control method for campus energy internet. The specific steps comprise establishing a model of campus energy internet energy equipment; accordingto the cumulative distribution function of wind speed, using the Latin hypercube sampling method to generate the wind speed scene set; according to the wind speed scene set and the wind power outputmodel, obtaining the wind power output initial scene set R; reducing the wind power output initial scene set R by using the synchronous back-generation elimination method, and obtaining the wind poweroutput reduced scene set S; establihsing a two-stage optimal dispatching model of campus energy internet; using a CPLEX solver of the GAMS software to solve the two-stage optimal dispatching model ofcampus energy internet, and obtaining the dispatching control scheme of campus energy internet. The method of the invention can solve the operation and dispatching problem of the park energy internetunder the environment of uncertain wind power output, and improve the operation economy of the park energy internet and the wind power consumption level.

The invention relates to the technical field of electric power system operation and maintenance, in particular to a distributed power transmission network and power distribution network collaborativeeconomic dispatching method, which comprises the following steps: establishing a network structure, and establishing a transmission and distribution combined economic dispatching model based on the network structure, wherein the network structure comprises a power transmission network and n power distribution networks, and the scheduling model comprises an objective function and constraint conditions; and performing external loop iteration solving on the F(x) based on a Newton method iterative calculation method, and performing internal loop initial value distributed iteration solving on FT and median variables, wherein the power transmission network and the power distribution network n respectively output respective scheduling results until the external loop iteration meets the end condition. According to the distributed power transmission network and power distribution network collaborative economic dispatching method, Newton method iterative computation of an outer ring and distributed iterative computation of an inner ring are introduced into optimization computation; a power transmission network and distribution network collaborative dynamic economic dispatching optimization problem is converted into a two-layer iteration problem; and due to the fact that outer-layer iteration is Newton method iteration, secondary convergence is achieved, and distributed accurate and efficient solving of the transmission and distribution collaborative dispatching optimization calculation problem can be achieved.

The invention discloses a regional power grid source network load interaction intra-day plan optimization adjustment method and device. The method comprises: a regional power grid regulation and control mechanism periodically compiling a direct regulation unit and an inter-provincial tie line intra-day initial plan; the provincial power grid regulation and control mechanism compiling an intra-dayinitial power generation plan of the provincial power grid; the regional power grid regulation and control mechanism carrying out whole-grid new energy consumption trend analysis according to the intra-day initial power generation plan of the provincial power grid; when a certain provincial power grid is insufficient in daily new energy consumption capacity and the peak load regulation capacity ofthe direct dispatching unit or other provincial power grids is surplus, optimizing and adjusting the regional power grid source network load interaction intra-day plan, and issuing the adjusted conventional unit power generation plan, the new energy power generation plan, the adjustable load and energy storage calling plan and the inter-provincial power transmission and reception plan to each provincial power grid regulation and control mechanism for scheduling and execution according to the regional power grid source network load interaction intra-day plan. By organizing trans-provincial source network load interaction, the surplus peak regulation capacity of the large power grid is released, and the new energy consumption capacity of the local power grid is improved.

The invention provides a commodity displaying method and device, and an electronic device, and relates to the technical field of electronic commerce. The method comprises steps of receiving searching information sent by a buying terminal; according to the searching information, selecting first displaying information from commodity displaying information; and sending the first displaying information to the buying terminal, wherein the buying terminal is a client terminal needing to buying commodities, and the commodity displaying information comprises commodity image information and video links. According to the embodiment of the invention, problems of poor purchasing experience of the consumers and reduction of consumption level of the consumers in the current network shopping mode are solved.

An embodiment of the invention provides a wind / light energy and hydropower unit combined regulation simulation system and a method at a transmission and reception end of a power network, The simulation system includes: wind / light energy model of transmission network and hydro-generator model of receiving network, wind / light energy model and hydro-generator model run together, and the fluctuation of target power output of wind / light energy model is compensated by hydro-generator model; The model of hydropower unit includes turbine model, diversion system model, hydrogenerator model and turbinegoverning system model. The turbine governing system model includes governor model and mechano-hydraulic servo system model. The simulation system provided in the embodiment of the invention developswind / light. Wide-area joint simulation of hydroelectric generating units. Under the background of large-scale new energy consumption difficulty, it provides a new way for UHV once-through hydro-generator units to absorb wind power across regions, which is of engineering application value to achieve cross-regional wind power consumption and improve the new energy consumption level of the whole grid.

The invention discloses a photovoltaic consumption method based on response difference of flexible load demands. The photovoltaic consumption method includes the steps of 1) establishing a photovoltaic consumption model containing thermal power generation and response difference of multi-type flexible load demands, 2) determining correlation parameters of a thermal power set in a power grid, 3) determining previous photovoltaic generating capacity in each time period; 4) obtaining electricity price elastic coefficient and original electricity price of flexible loads of the industrial type, the business type and resident type, and determining the previous power consumption of each time period of each type, 5) solving the model in the step (1) according to the steps 2)-4), and 6) solving the previous time-of-use electricity price of the flexible loads of the industrial type, the business type and resident type according to the solved result of the step 5). The time-of-use electricity price is used as an excitation means for flexible loads of the industrial type, the business type and resident type. The electricity price scheme can be changed according to the previous loads and photovoltaic prediction results, various flexible load resources can be fully dispatched, and the photovoltaic consumption level can be improved.

The invention belongs to the technical field of power system automation, and particularly relates to a multi-target day-ahead optimal scheduling method for a multi-power-supply power system. The method comprises the following steps: (1) obtaining a system operation mode, load prediction data and renewable energy power generation prediction data of the next day; (2) establishing a multi-target day-ahead optimal scheduling model of the multi-power-supply power system; (3) solving the model by adopting a particle swarm optimization algorithm; and (4) generating a day-ahead scheduling strategy according to a solving result. According to the method, the operation characteristics of various types of generator sets can be comprehensively considered, a day-ahead optimization scheduling scheme which meets the safety requirement, makes full use of renewable energy sources and is reasonable in economy is formulated, safe and economic operation of a power system is ensured, and meanwhile, the renewable energy source consumption level is improved.

The invention discloses an energy monitoring and management system based on an energy storage device and a management method thereof. The energy monitoring and management system based on the energy storage device comprises an energy storage device-based terminal unit, energy control devices, an intensive energy monitoring and management platform, a power grid operation system, a market trading system and a user operation system, wherein the energy storage device-based terminal unit is physically connected with an external power supply and is in wired or wireless communication connection with the energy control devices; the energy control devices are in wired or wireless communication connection with the intensive energy monitoring and management platform; the energy control devices are inwired or wireless communication connection; and the intensive energy monitoring and management platform is in wired or wireless communication connection with the power grid operation system, the market trading system and the user operation system respectively. The application efficiency of the energy storage device can be better enhanced, power demands of a user side can be better met, the energyutilization level is improved, and the social and economic benefits and the environmental friendliness are enhanced on the whole.

The invention discloses a DC sending-end hydropower station optimal scheduling method compatible with receiving-end power grid peak regulation requirements. The method comprises the steps: carrying out modeling construction on the hydropower short-term optimization scheduling problem to obtain a mathematical model; after calculation conditions are set, linearizing an objective function firstly, performing linearization processing on nonlinear objective constraints on the premise that precision is allowed, and then converting an original highly-non-convex mixed integer nonlinear programming model into a mixed integer linear programming model, and solving the model on the basis of the mixed integer linear programming model through employing an optimization solver. The model provided by theinvention has relatively high calculation efficiency; the formulated power transmission plan effectively responds to the peak regulation demand of each receiving-end power grid, the peak-valley difference of the power grid is remarkably reduced, the power transmission limitation of the direct-current tie line is met, the executability of the direct-current tie line plan is improved, and the trans-regional coordinated operation of the sending-end hydropower station, the high-voltage direct-current tie line and the receiving-end power grid is realized.

The invention relates to a mobile phone shell with crystals and diamonds embedded in colored patterns and a manufacturing method thereof, wherein ornaments such as the crystals, the diamonds and the like are embedded on the surface of the mobile phone shell with the colored patterns, the surface of the mobile phone shell is a colored pattern surface, holes are formed in the colored pattern surface, and solid crystals or the diamonds and precious stones are embedded in the holes. The mobile phone shell and the manufacturing method thereof have the advantages that: 1, the aim of manufacturing any colored drawing pattern on the mobile phone shell or the surface of a protective shell is fulfilled by adopting a computer-aided design technique and a manufacturing technique; 2, the solid crystals or the diamond and the precious stones are embedded on the colored pattern surface on the surface of the mobile phone shell, and the crystals, the diamonds and the precious stones embedded in the colored patterns are like shining stars, therefore, the consumption level of a mobile phone is improved, and the demands of specific people are satisfied; and 3, with the adoption of the design of a colored pattern surface enamel layer, the colored patterns have the advantages of permeability, glossiness, abrasion resistance and strong adhesive force.

The invention proposes a unit start-stop random optimization method based on chance constrain convex relaxation. The optimization method comprises a step of establishing a model for calculating the economic cost of operation after combining a renewable energy unit with a conventional thermal power unit, a step of adopting a convex relaxation algorithm for opportunity constraint and transforming astochastic dynamic economic dispatch cost model generated by change constraint into a deterministic economic dispatch cost model and a convex optimization problem that is easy to solve, and a step ofsolving the deterministic economic dispatch cost model and an objective function. According to the optimization method of the present invention, a unit start-stop strategy is optimized, the risk of apower system is effectively reduced, by controlling the start and stop of the traditional thermal power unit and the renewable energy unit, the level of consumption of renewable energies such as windand light is improved, and the contradiction between the operation risk and operation cost of the power system is solved efficiently and quickly.

The invention relates to blueberry dumpling balls and a processing method thereof. Each blueberry dumpling ball comprises a wrapper and stuffing, wherein the wrapper is made from glutinous rice flour, blueberry powder, water and oil-soluble grease; and the stuffing is made from minced white gourd, fresh blueberry jam, white granulated sugar, vegetable oil and blueberry fruits. The processing method comprises the steps of preparing the wrapper, blending the stuffing, and making into dumpling balls. Through adding blueberry components in the wrappers and stuffing of dumpling balls, the types and flavor of dumpling balls are increased, the dumpling balls are more diverse, more rich and more coordinative, and more conform to the continuously improved consumption level of people.

The invention discloses an energy-saving optimization method for new energy and thermal power bidirectionally supplying power for high energy carrying loads. The method comprises the steps of building a model to carry out ultra-short period power prediction on wind electric power data in a future preset time slot, adopting an existing load prediction mathematical model to carrying out ultra-short period power prediction on high energy carrying load data in the future preset time slot, judging whether wind electric power meets the demands of normal production operation of high energy carrying loads in the future preset time slot or not, adopting wind electricity to supply power for the high energy carrying loads directly if the wind electric power meets the demands of the normal production operation of the high energy carrying loads in the future preset time slot, and building an energy-saving optimization model of supplying power for the high energy carrying loads through the new energy and the thermal power bidirectionally if the wind electric power cannot meet the demands of the normal production operation of the high energy carrying loads in the future preset time slot. The energy-saving optimization method for the new energy and the thermal power bidirectionally supplying power for the high energy carrying loads has the advantages of being high in reliability and energy utilization rate, and good in energy-saving effect.