34results about How to "Promote in situ consumption" patented technology

The invention relates to a microgrid multi-energy joint optimal scheduling method. The method includes: step 1, on the basis of force application conditions of energy supply equipment and operating states of energy storage equipment in different scenes, constructing a physical model of a multi-energy system; step 2, establishing unit mathematical models, including a wind power generator model, a photovoltaic power generation model, a micro-gas turbine model, a fuel cell model and an energy storage model, of the microgrid multi-energy system; step 3, in order to realize lowest comprehensive cost in system operation, constructing a microgrid multi-energy optimal scheduling model by taking DG operation constraints, system safety constraints and multi-energy coupling characteristics into comprehensive consideration; step 4, on the basis of reversed order dynamic planning, solving the microgrid multi-energy optimal scheduling model to obtain a microgrid multi-energy joint optimal operatingstrategy. By the microgrid multi-energy joint optimal scheduling method, operating demands in different scenes can be met, electricity-thermal coordinated optimal scheduling schemes are provided for operating of a comprehensive energy microgrid in different scenes, and high integral operating efficiency and high economic benefits are realized.

The invention discloses a distributed energy transaction execution method, device and apparatus based on a block chain. The method comprises the following steps: before the electric quantity transaction, determining the user type of the participating user and the tradable electric quantity; according to the transaction application broadcast by each node, the bookkeeping node adopts the preset market matching mechanism to determine the transaction information of the participating users; The bookkeeping node broadcasts the transaction information to the block chain network and writes the block chain so as to enable each participating user to execute the electric quantity transaction according to the transaction information. At the end of the electricity trading, according to the actual powergeneration, power consumption data, virtual currency settlement for participating users is performed through smart contracts. The method can realize the collaborative and autonomous operation of distributed energy transactions among users managed and controlled by non-centralized entity institutions, thereby promoting the on-site consumption of distributed renewable energy, ensuring the safety and credibility of energy transaction data, and ensuring the automatic settlement of distributed storage and transaction results.

The invention discloses a multi-objective optimization operation method for a combined cooling, heating and power supply system, which comprises the steps of firstly establishing mathematical models respectively for equipment of a combined supply system and a separated supply system; then respectively calculating the total operation cost, the total carbon emission and the total primary energy consumption of the combined supply system and the separated supply system in allusion to each set of the equipment; building a multi-objective optimization model by adopting a weighting method, then performing single-objective optimization solving on the separated power supply by adopting a mixed integer linear programming solver, finally obtaining an optimization operation strategy of the combined supply system, and being coupled to a ground source heat pump. The multi-objective optimization operation method can effectively improve the energy utilization efficiency of terminal users, alleviate the contraction between energy supply and demand in a regional power grid, promote the local absorption of distributed renewable energy and realize social benefits of the combined supply system to the greatest extent.

The invention relates to an orderly charging control method of an electric vehicle considering new energy consumption, comprising the following steps: 1) adopting a time-sharing electricity price mechanism, dividing a day into 24 time periods according to hours, and charging prices per hour are different; 2) update that power prediction value and the char price of the new energy generation in thetime period before the start of each time period, and determining the charging price of the electric vehicle in the time period by the prediction value of the power generation capacity of the new energy generation in each time period; 3) take that minimum peak-valley difference of the distribution network curve load and the minimum total charge cost of the user as the objective function of the optimization model; 4) build a new energy generation system at that char station, giving priority to char electric vehicles with new energy sources. The purpose of the invention is to provide an electricvehicle orderly charging control method which can reduce the peak-valley difference of the electric network load and the total charge cost of the user, and is also conducive to the on-site consumption of new energy, and can effectively improve the utilization rate of renewable energy of the electric vehicle considering the consumption of new energy.

The invention discloses an optimization method of active distribution system dispatching in industrial parks considering the demand of peak load regulation. The photovoltaic power generation unit PV,the vanadium flow battery energy storage system VRB and the industrial load are used as the active distribution system dispatching units in the industrial park, which participated in the considering of peak load regulation, and the physical models of each dispatching unit are established. The DTMDP model is established to solve the dynamic dispatching optimization problem of active distribution system in industrial parks considering the demand of peak load regulation. The Q-learning algorithm based on simulated annealing is used to solve the DTMDP model, and the optimal control strategy is used to guide the system to choose the reasonable action plan in the actual operation process and realize the system scheduling optimization. The invention can effectively solve the problem of peak shaving demand of the power network under the condition of considering the randomness of the source and the load, promote the local absorption of new energy, and improve the operation economy of the activedistribution system and the operation stability of the power system.

The invention discloses a virtual power plant transaction management method based on a blockchain technology, and the method comprises the steps: 1), improving a conventional virtual power plant architecture, and constructing a virtual power plant transaction management framework based on a blockchain; 2) the distributed energy nodes reporting information such as energy types, tradable quotas andthe like for authentication; 3) the virtual power plant aggregator performing optimal scheduling by taking maximization of profit as a target; 4) realizing transaction matching between the distributedpower supply and the load in the virtual power plant by adopting a block chain technology; 5) realizing transaction settlement between the energy purchasing node and the energy selling node; and 6) the virtual power plant aggregator collecting all transaction records within a period of time and generating a data block. According to the transaction management method, point-to-point transaction ofthe distributed energy and the load can be realized, local consumption of the distributed energy is promoted, and the power transaction cost and the energy loss are reduced.

The invention provides an electrolytic manganese residue-based ointment filling material which comprises original electrolytic manganese residues, carbide slag and an electrolytic manganese residue cementing agent, wherein the electrolytic manganese residue cementing agent comprises ground electrolytic manganese residue powder, boiling furnace slag, cement kiln ash, phosphorus slag powder, petroleum coke desulfurized fly ash and additives. A preparation method of the material comprises the following steps: by taking the original electrolytic manganese residues as a basic raw material, adding the carbide slag and the electrolytic manganese residue cementing agent, rapidly stirring for 10-20 minutes, adding water till the water content of the filling material meets a provided value, and further stirring for 10-30 minutes, thereby obtaining the electrolytic manganese residue-based ointment filling material. Compared with a cement type mine filling material, the electrolytic manganese residue-based ointment filling material provided by the invention is good in filling mobility, relatively rapid in strength increase, good in slight swelling property and low in heavy metal leaching concentration.

The invention discloses a new energy grid connection or local absorption system based on an electric energy router. The system includes an AC power grid, an electric energy router and multiple piecesof power equipment. The electric energy router includes an inductor, a cascaded H-bridge bidirectional converter and multiple resonant isolated bidirectional DC/DC converters. The AC sides of multipleH-bridge topologies of the cascaded H-bridge bidirectional converter are cascaded, and are connected to the AC power grid through the inductor. The multiple H-bridge topologies and the multiple resonant isolated bidirectional DC/DC converters are connected in a one-to-one correspondence manner. The DC sides of the H-bridge topologies are connected with the primary DC sides of the resonant isolated bidirectional DC/DC converters. The secondary DC sides of the resonant isolated bidirectional DC/DC converters form a DC bus, and the power equipment is connected to the DC bus. The power equipmentincludes new energy equipment, energy storage battery equipment and load equipment. The new energy grid connection or local absorption system has the advantages of high efficiency, high reliability, wide gain, bidirectional energy transmission, dynamic adjustment of power quality, and the like.

The invention discloses a new energy station energy storage configuration calculation method and system. The method comprises the steps: designing a standardized supply curve for different new energy installation scales, i.e., configuring a new energy station planned output curve after energy storage, and building a supply curve deviation degree index. By weighing the energy storage investment cost and the supply curve deviation cost, a new energy station energy storage configuration optimization model is established, the model can calculate the optimal capacity ratio between the new energy and the stored energy under the condition of the existing new energy installation scale and the load level of the power system, and on the premise of ensuring the energy storage investment economy, the peak regulation pressure of the new energy on the power system is reduced, and the new energy consumption is promoted.

The invention belongs to the technical field of intelligent power grids, and particularly relates to an air conditioner time-sharing scheduling method based on demand response. The air conditioner time-sharing scheduling method based on demand response includes the steps that a power supply operator installs photovoltaic power generation devices connected to the grid for users; the users are classified into two categories according to the temperature variation ranges set for air conditioners by the users, and the users form an alliance along with the photovoltaic power generation devices; the photovoltaic power generation quantity, the baseline load, the power grid power price, the indoor temperature, the outdoor temperature and the rated power of the air conditioners at the current time are obtained; according to the different time periods of the summit time, the flat time and the low tide time of the current power grid power price, the indoor temperature and the outdoor temperature, and in combination with the current photovoltaic power generation quantity, the start and stop of the air conditioners are controlled; the profits gained by the alliance are calculated, the contribution of the two categories of users and the photovoltaic power generation devices to the profits of the alliance is quantified through a Sharpley value method and the profits are distributed. The air conditioner time-sharing scheduling method based on demand response effectively improves the profits of the users and elimination of the photovoltaic resources on the spot, is low in time complexity and low in calculation cost and can be easily achieved on the user side.

The invention relates to an industrial dangerous waste treating system and method and aims at providing an industrial dangerous waste treating system and method. The waste heat and the disposing capability of a cement kiln are fully utilized, so that low-cost operation is achieved in treatment of industrial dangerous waste, and the purposes of stabilization, reduction, harmlessness and reclamation are achieved. According to the scheme, the industrial dangerous waste treating system comprises a feeder, a dangerous waste breaking device, a mixer and a plunger pump which are connected in sequence. The output end of the plunger pump is connected to a smoke chamber at the tail of the outer cement kiln. The industrial dangerous waste treating system and method are suitable for treating dangerous waste.

The invention provides an interactive comprehensive energy system real-time regulation and control method of a three-layer linkage mechanism, which is used for solving the production and consumption information collaboration problem of a comprehensive energy system so as to promote new energy consumption and efficient utilization. In the method provided by the invention, the first layer adopts theproposed expandable global quadratic heuristic programming algorithm to distribute the output of the traditional generator set and distribute the output sum of other comprehensive energy sources. Andthe second layer adopts a proposed fast contraction scheduling optimization algorithm to solve various comprehensive energy output optimal combinations. And the third layer adopts a proposed micro-granularity real-time control algorithm to regulate and control various distributed energy sources, flexible loads and energy storage equipment. According to the three-layer linkage mechanism method, each layer of regulation and control executes a flexible energy distribution strategy according to the real-time information of the respective region and the previous layer, and the problem of comprehensive energy flexible cooperative control is solved.

A cold and hot gas combined supply dispatching method for a flexible area comprehensive energy system comprises the steps of: stepwisely introducing electricity-to-gas two-stage operation and the combined refrigeration technology of an electric refrigerator and a lithium bromide absorption refrigerator and carrying out modeling respectively; then establishing an RIES optimal scheduling model by taking the sum of the power system network loss in the RIES and the cost of purchasing energy from a superior network as an objective function, and giving a power, gas, heat and cold power balance constraint relationship of the RIES; converting the originally built model into a mixed integer second-order cone programming model by using linearization and second-order cone relaxation technologies; calling a Cplex algorithm package on the Matlab provided with the Yalmip optimization toolbox by using the established model according to the predicted operation curves of the fan, the photovoltaic system and various loads, and carrying out optimization solution on the Matlab provided with the Yalmip optimization toolbox; and analyzing the economic benefits generated by SOP and P2G technologies and a lithium bromide absorption refrigerator for reducing the system network loss and cost and improving the wind and light absorption capacity of the system. The invention further comprises a cold and hot gas combined supply dispatching system of the flexible area comprehensive energy system.

The invention discloses a charging station control method and system and an electronic device. The charging station control method comprises the following steps: judging whether the charging stationcontrol system is in a grid-connected operation state or not through an energy scheduling system; if not, the charging station control system being in an off-grid operation working state; if yes, judging whether the charging station control system is in a rectification state or not, if the charging station control system is not in the rectification state, the charging station control system beingin a feed network operation working state, and if the charging station control system is in the rectification state, the charging station control system being in a multi-energy coordinated operation working state. According to the invention, on-line variable-power charging of the vehicle is realized, so that maximization of station energy utilization is achieved.

The invention discloses a multi-source energy storage type regional comprehensive energy low-carbon operation optimization method considering electricity-to-gas conversion, and the method comprises the steps: firstly building an electricity-heat-gas interconnected comprehensive energy system model according to a natural gas network and power network structure, a comprehensive electricity-to-gas model, a combined heat and power generation model, an electric boiler model, a carbon capture system model and an energy storage model; and then, establishing a target function and constraint conditions corresponding to the electricity-heat-gas interconnected comprehensive energy system model, and finally, establishing a single-target continuous optimization spiking neural P system, and solving the target function by adopting the single-target continuous optimization spiking neural P system to obtain the lowest cost of energy scheduling and the output condition of each energy unit system. The on-site consumption of wind power can be improved, the carbon emission of the power grid side is reduced, the reutilization rate of CO<2> generated by the power grid side is improved, and a sustainable development direction is provided for environmental protection.

The invention relates to a flexible charging method and system considering travel demands of an electric vehicle user, which can perform linear processing on a charging and discharging model of an electric vehicle and realize flexible regulation and control on charging and discharging power and time periods of the electric vehicle. Through a chance constraint planning method, the state of charge when the electric vehicle leaves reaches the SOC expected by a user, and the voltage range of a power grid is set as soft constraint, so that the soft constraint meets a certain confidence level, and the flexibility of charging and discharging behaviors of the electric vehicle is utilized to cope with the random fluctuation of renewable energy output. And under the condition of ensuring the travel demand of the electric vehicle user, the optimization of the target function is realized. According to the method, the uncertainty caused by renewable energy sources with output as random variables can be processed, the on-site consumption of the renewable energy sources is promoted, and meanwhile, the burden caused by concentrated charging of a large number of electric vehicles to a power grid is reduced.