102 results about "Economic optimization" patented technology

One embodiment of the present invention provides an energy-asset control system for utilizing an energy asset to provide one of more modes of operation services. The system includes an economic optimizer configured to identify at least one mode of operation opportunity based on current and/or future market conditions; a prognostics module configured to perform a prognostic analysis associated with the mode of operation opportunity for the energy asset using an existing model, and determine a confidence level associated with the prognostic analysis; and an operation controller. The economic optimizer is further to configured to, in response to the prognostics module determining the confidence level exceeding a predetermined threshold, determine an expected profit of the mode of operation opportunity based on outcomes of the prognostic analysis; and optimize, over a predetermined time period, a usage of the energy asset based on the expected profit of the mode of operation opportunity.

The invention discloses a comprehensive energy system economic optimization scheduling method based on a micro-grid. The method comprises the steps that independent modeling is performed according toenergy production equipment, energy conversion equipment and energy storage equipment in a factory, and an energy supply structure for a comprehensive energy system based on an energy exchange networkis set up; considering a serial working mode and a parallel working mode of an ice storage air-conditioning system, a comprehensive energy system economic optimization scheduling model is further improved, so that the optimization model better meets the practical demand of a project; and optimization scheduling is performed on the micro-grid considering cold and hot electric balance constraint, equipment operation constraint and energy storage equipment constraint with minimum annual operation cost composed of operation and maintenance cost, electricity purchasing cost, fuel cost and stored energy depreciation cost being an optimization objective, and automatic optimization of the factory is realized. The method has the advantages that energy using efficiency at the user side is improved,energy using cost of a user is reduced, economic benefit and the energy utilization rate are increased, and the method is suitable for different types of industrial park comprehensive energy systems.

The invention relates to a management optimization method in the field of alternating-current micro grids, and specifically to a multi-time-scale micro grid energy management optimization scheduling method. Aiming at the problems that the existing studies are incomprehensive on consideration of the running status of a micro grid, not detailed enough on the control strategy in each running status of the micro grid, insufficient on calculation accuracy of the running cost and the like, the method comprises a day-ahead economic optimization scheduling phase and an intraday economic optimization scheduling phase; the former considers the electricity price at peak, valley and flat time, and distributed unit power optimization allocation in the micro grid is performed according to day-ahead photovoltaic and load prediction by using the total running cost including the running and maintenance cost of a lithium battery and a fuel battery, interrupted compensation of an interruptible load, price of electricity sold by a large grid and the like as a target function; and the latter considers the outputs of electricity purchased from the large grid by the micro grid, a super-capacitor and the fuel battery, and an independent control strategy is respectively established for the peak, valley and flat time, so that the control strategies are more specific and detailed.

The invention provides a plan optimization method used for a supply chain of a chemical enterprise. The plan optimization method belongs to the field of optimization methods, and comprises the steps of: acquiring initial parameters of the supply chain, and storing the initial parameters of the supply chain in a data warehouse; determining anticipated market requirements corresponding to the chemical enterprise through adopting a self-matching requirement forecasting algorithm by combining with sales data of the chemical company over the years, constructing a supply chain plan optimization model, setting a plan optimization objective function and constraint conditions in the supply chain plan optimization model, and calculating to obtain an optimal solution of the plan optimization objective function under the constraint conditions; and setting parameter step lengths, automatically constructing different plan optimization production scheduling schemes, calculating a profit correspondingto each plan scheme, and selecting the plan scheme corresponding to the highest profit for optimizing relevant parameters of the enterprise supply chain. The plan optimization method can provide theplan scheme for economical optimization solution when balancing supply and demand, so as to achieve dynamic adjustment of product structure, improve the precision, performability and working efficiency of the plan, and provide information support for production management.

The invention discloses a micro-grid operation optimization method based on a dynamic electricity price. The method is characterized in that fuzzification is carried out on a reference plan exchange power curve delivered by a power distribution network to a micro-grid and a plan exchange power curve of the micro-grid, the Euclid close degree of the two curves is calculated so that the electricity price can be dynamic, a target function taking the dynamic electricity price, operation maintenance cost and pollution discharge treatment cost into consideration is built, and a micro-grid economic optimization operation scheme is solved by means of a particle swarm optimization. Accordingly, the micro-grid can coordinate operation of the power distribution network in the operation optimization process, and influences of micro-grid connection on the power distribution network are reduced.

The invention relates to a micro-grid economic and optimal operation and scheduling method based on an improved quantum genetic algorithm. The micro-grid is in a grid-connected mode operation state and comprises multiple micro sources and loads, wherein the loads comprise electric loads and thermal loads; and the micro sources comprise a micro turbine, a wind turbine, a photovoltaic cell, a fuel cell, a storage battery and an electric vehicle. The method comprises the following steps: S1, state information of each load and each micro source in the micro-grid is acquired; S2, with minimum of operation cost and pollutant treatment cost as a target, a multi-target economic scheduling model is built; S3, the improved quantum genetic algorithm is adopted for carrying out optimal solution on the multi-target economic scheduling model, and the optimal active power of each micro source is acquired; and S4, according to the optimal active power of each micro source, active power output by each micro source is controlled. Compared with the prior art, the micro-grid formed by distributed power sources operates in a more economic, flexible and environment-friendly mode, and power generation advantages of the distributed power sources can be taken.

Improvements in methods by which new or used coal fired boilers whether designed for coal or oil or natural gas firing can substantially improve their technical operation and reduce their capital and operating costs by implementing process steps that (a) minimize the adverse impacts of coal ash and slag on boiler surfaces and particulate emissions, which will improve coal combustion efficiency and facilitate the use of oil or gas designed boilers for coal firing, (b) drastically reduce the loss of water used to transport coal in slurry form to power plants, (c) minimize the combined total nitrogen oxides (NO_x), sulfur dioxide (SO₂), mercury (Hg), and carbon dioxide (CO₂) emissions, (d) separate and permanently sequester carbon dioxide and (e) improve the coal and solid fuel combustion efficiency. In the method includes whereby slag formed from solid fuel ashes during combustion in boilers or furnaces is suppressed by introducing additional air in a post-primary combustion zone to lower the combustion gas temperatures below temperatures at which the ash softens or liquefies and adheres to boiler or furnace surfaces.

The invention discloses an economical optimized scheduling method for combined supply of cooling, heating and power type multi-microgrid active power distribution system. The method comprises the steps that optimized modeling is firstly carried out on local scheduling layer wind power generation and energy storing device combined power generation; an optimized result is uploaded to a regional scheduling layer composes of a plurality of combined supply of cooling, heating and power type microgrids and active power distribution networks; and then, various equipment in the combined supply of cooling, heating and power type multi-microgrid are analyzed, and an economical optimized scheduling model is built; the economical optimized scheduling model for the active power distribution network isbuilt; finally, tie line electric power interactive values of the combined supply of cooling, heating and power type multi-microgrid and the active power distribution system are taken as coupling variables, and conditions of convergence are set when two interest body optimized scheduling is solved in parallel; Cplex is called in MATLAB to solve a problem, and a scheduling plan is acquired. The economical optimized scheduling method provides an effective, practical and scientific energy optimized scheduling method, and the promotion and application of energy conservation are facilitated.

The invention puts forward an electric car and cloud energy storage economic scheduling method based on a dynamic non-cooperative game. The method comprises the following steps that: (1) establishingan electric car agent economic optimization scheduling model; (2) establishing a three-party non-cooperative game model; and (3) adopting particle swarm optimization to solve the above model, and determining a final Nash equilibrium point. By use of the method, the concept of V2G (Vehicle-to-grid) and a cloud storage retailer is imported for inhibiting the volatility influence of intermittent energy power generation, an electric car can be used as a load and also can be used as an energy storage characteristic, and electric energy grid-generation commercial operation is realized on a premise that the own requirement of the EV car owner is met, and therefore, the maximum car owner benefits are pursed; and meanwhile, since a cloud energy storage retailer and the EV car owner agent has economic conflicts, on the basis of a non-cooperative game theory, solving is carried out so as to achieve the maximum car owner benefits. Compared with subjectivity that a solution set obtained by a traditional multi-objective optimization algorithm is decided and selected by an administrator, the method disclosed by the invention imports a game theory to improve the flexibility and the intelligence ofelectric energy utilization.

The invention discloses a cooling-heating-power combined supply type multi-microgrid system and an economic optimal dispatching method thereof. The system comprises an energy storage power station anda plurality of microgrids connected with the energy storage power station. The energy storage power station is provided with an energy management system of the energy storage power station, and the micro-grid is provided with an energy management system of the micro-grid. An electric tie line is set up between each micro-grid and the energy storage power station, and the electric bus bar of the micro-grid is connected with the electric tie line so as to be connected to the common connection point of the energy storage power station, so that the electric energy between the energy storage powerstation and each micro-grid flows mutually; the energy management system of the energy storage power station formulates the economic optimal dispatching plan of the multi-grid system of the combinedcooling, heating and power supply, and the micro-grid energy management system of each micro-grid executes the economic optimal dispatching plan, so as to realize the overall economic optimization ofthe operation of the multi-grid system of the combined cooling, heating and power supply. The method not only meets the demand of cooling and heating power load of each micro-grid, but also has no waste of cold, heat and power, and can significantly reduce the economic cost of daily operation.

The invention discloses an economic dispatching method and system for a microgrid based on distributed network control. The method comprises S1: deriving a theoretical optimal output formula of controllable distributed generation DG under a constraint condition according to an economic dispatching model; S2: constructing a communication network according to a microgrid double-layer control model comprising a lower microgrid and an upper communication network; S3: designing a weight matrix according to the upper communication network and obtaining a distributed control law according to the weight matrix; S4: calculating a set value according to the distributed control law, and adjusting the output of the controllable distributed generation DG according to the calculated set value, thereby realizing economic optimal dispatching of the microgrid. The method and the system have the advantages that the total power generation cost of the microgrid can be minimized by realizing equal tiny increase rate of all controllable DGs; convenience is provided for an algorithm design by designing the weight matrix; and the system power balance can be ensured during the iteration process.

The invention discloses a regional comprehensive energy system optimization operation method based on a repeated game model. The method comprises the steps of firstly, performing steady-state modelingand power flow analysis on a power distribution network, a gas distribution network and a micro-energy network in a regional comprehensive energy system; then, considering the interaction influence between a power link and an energy coupling link in the regional comprehensive energy system; using a micro-energy network and a power distribution network as game participants; constructing a repetitive game optimization model of the regional comprehensive energy system by taking the daily operation cost of the micro-energy network and the comprehensive satisfaction of the power distribution network as respective utility functions, and solving the repetitive game optimization model by adopting an adaptive mutation particle swarm algorithm to obtain a game equilibrium optimization result of theregional comprehensive energy system; and finally, verifying the correctness and effectiveness of the regional comprehensive energy system optimization operation method based on the repeated game model. The method can give full play to the active regulation and control effect of the power distribution network, gives consideration to the benefits of the micro-energy network and the power distribution network, and achieves the cooperative economic optimization operation of the regional integrated energy system.

The invention relates to a quick and safe escape system for magnetic suspension rail transit and an implementation method thereof, which are applicable to high/medium/ low-speed bridge beam type magnetic suspension rail system for, in case of emergent, enabling a train to stop in time in any place of the railway, open vehicle-mounted equipment, allow the passengers on the train to escape to a bridge tunnel quickly from a dangerous place so that the passengers can escape to the ground from the ground of the overhead bridge from the safety ladders distributed along the railway. The system and the method can improve escape efficiency considerably and improve safety protection of the magnetic suspension transit system, lower the fireproofing requirement of magnetic suspension train equipment and the like and create conditions for the economic optimization of magnetic suspension vehicle systems. The system and the method are also applicable to other transit systems with the same overhead escape requirement.

The invention relates to a microgrid economic optimal operation design method with a demand response included. The method comprises the following steps: 1) a microgrid optimal design database is built; 2) an optimization model is built, wherein the objective function for the optimization model is the minimum total cost of the microgrid operation, and constraint conditions comprise a power balance constraint, a controllable unit output constraint, a controllable unit ramp constraint, a tie line transmission power constraint and a controllable load capacity constraint; 3) the input variable parameter value needed by the optimization model is acquired from the microgrid optimal design database, an improved genetic algorithm based on chaos optimization is adopted to solve the optimization model, and output data of a decision variable of the optimization model are acquired; and 4) the total microgrid operation costs under all scenes are compared according to the output data of the decision variable, and the optimal scene and the corresponding interruptible load optimal control strategy can be acquired. Compared with the prior art, the method of the invention realizes more reasonable, more economic and more efficient mircrogrid energy utilization from aspects of a demand side and management operation.

The invention discloses a day-ahead optimal dispatching method of an AC/DC hybrid system containing a power electronic transformer. The method comprises the following steps: introducing the power electronic transformer into the AC/DC hybrid system to establish an objective function of day-ahead optimal dispatching; The steady-state model of power electronic transformer, the constraint conditions of micro gas turbine model, the constraint conditions of energy storage battery model, the power balance constraint conditions of AC system and DC system are established. Based on the above steady-state model, objective function and constraint conditions, the distributed energy consumption and economic optimization of AC/DC hybrid system are realized. The method controls the power transmission between the AC network and the DC network through the power regulating function of the power electronic transformer, and can effectively realize the full consumption of the distributed generation. In addition, the reasonable application of the distributed generation reduces the operation cost of the power system and realizes the economic operation of the AC/DC hybrid system.

The invention relates to an environment-friendly lightweight vegetation block, belonging to environment-friendliness and resource recycling. The vegetation block is made by adding mesh-shaped organic plants, waste slurry of a paper-making factory and a growth retardant PP333 to agricultural wastes, urban organic solid garbage and Chinese medicine slag, coal ash and furfural mushroom residues of a factory and water retaining materials recovered from the garbage; and the vegetation block is mainly used for container factory lightweight seedling culture of a forestry flower industry, desertification governance, sand vegetation recovery, landslide vegetation recovery, urban roof greening, cell high-salt field greening and planting of a football field and a golf course. According to the invention, not only raw material resources is protected, the function of ecosystem balance is increased, and the efficiency of plantation is improved, but also an effective resource recycling path for urban household garbage, agriculture and forestry wastes and factory organic garbage is found out so that renewable resources are subjected to highly economic optimization combination and are more utilized effectively and reasonably.

The invention discloses a micro-grid economic optimization trading method based on cloud energy storage in an electric power market environment, belonging to the technical field of electric power system automation. The method is based on a small amount of distributed energy storage, the energy storage device originally distributed on the user side is centralized to the cloud end to form a centralized cloud energy storage, the objective function of the benefit of selling and purchasing electricity to cloud energy storage and the constraint of charging and discharging of cloud energy storage areincluded by simultaneous microgrid, cloud energy storage sales and purchase pricing constraints, the constraint condition of power purchase in micro-grid determines the joint optimization model of micro-grid system and cloud energy storage, after each micro-grid is regarded as a stakeholder, the amount of electricity sold and the charging and discharging time of each micro-grid are optimized to maximize the economic benefits of the micro-grid. The participation of cloud energy storage reduces the investment cost of energy storage equipment and improves the utilization rate of resources.

The invention, which belongs to the field of customer-side energy management, discloses a block-chain-technology-based regional free power trading method and especially relates to a multi-element-usercollaborative energy management method in an industrial park. The method comprise: collecting data; reporting a travelling plan; predicting a photovoltaic output power consumption curve; erecting a regional energy management model; formulating a collaborative management strategy; and issuing an instruction to a user for a response. The method has the following beneficial effects: all resources like the distributed power supplies, electric vehicles, energy storage, and controllable loads of users in industrial parks are scheduled cooperatively; and intelligent power consumption of the users inthe parks is realizing by taking economic optimization and new energy absorption maximization as objectives.

The invention discloses a charging, swap and storage integrated power station microgrid optimization scheduling method based on a non-cooperative game. The method comprises the steps of constructing apower generation model containing a photovoltaic, wind power, a lead-acid storage battery and a diesel generator; collecting the illumination intensity, temperature and wind speed of the microgrid inthe future day and the load information of the integrated power station, and solving the output condition of each unit according to the model in the step 1; Constructing an upper-layer micro-grid economic operation model with the maximum micro-grid side power generation profit to obtain the marginal cost of micro-grid power generation; Constructing a lower-level integrated power station economicoperation model with the minimum expenditure and dissatisfaction of the integrated power station; Bringing the marginal cost and the requirements of the integrated power station into a game utility function, and optimizing the operation of the integrated power station by using a sliding window method; performing an interactive game between the microgrid and the integrated power station to obtain atime-of-use electricity price and an output curve of each unit; and judging whether the load deviation is smaller than the previous optimization load deviation or not. According to the method, economic optimization of the microgrid and the charging, replacing and storing integrated power station is finally achieved when power balance is achieved.

The invention provides an economical optimal dispatching method for electric-thermal integrated energy system considering transmission loss. The process comprises the following steps: establishing aneconomic optimal dispatching model of the electro-thermal integrated energy system; using the Lagrange function method to analyze the conversion optimization dispatching problem. An iterative algorithm is designed to solve the optimal dispatching problem and the optimal solution is obtained. The optimal value of the economic optimal dispatching model of the electro-thermal integrated energy system, that is, the minimum value of the total cost, is calculated. The invention considers the important influence of the transmission loss on the supply and demand balance of the system and the output optimization of the unit, and considers the electric power network, the thermal pipe network, the electric heating multi-energy coupling, the unit output restriction and the operation restriction many kinds of constraint conditions; on the premise of considering the transmission loss of network, the method can meet the demand of users and reduce the cost of production capacity, so as to improve theeconomic benefits and ensure the safe and stable operation of the system; the fast iterative algorithm is used to convert the quadratic constraint of the electric force equation into affine constraint, which reduces the complexity of the model and has a faster convergence rate.

The invention provides an economic optimization method of energy storage cost and benefit, which comprises the following steps: obtaining energy storage investment cost and benefit information; The obtained energy storage investment cost and income information are brought into the preset energy storage optimization objective function and constraint conditions in the whole life cycle by adopting particle swarm optimization algorithm, and the calculation is carried out to obtain the best economic benefit of the energy storage in the whole life cycle of the photovoltaic application; The optimization objective function and constraint conditions are constructed based on the cost and benefit of the energy storage investment. The technical proposal provided by the invention aims at maximizing thetotal net income in the whole life cycle of the energy storage system, analyzes the income and the expenditure of the energy storage system in the photovoltaic power grid, realizes the maximization of the whole life cycle economic benefit of the energy storage application in the photovoltaic power generation based on the investment cost and the income of the energy storage.

The invention relates to the technical field of power system dispatching and particularly relates to a day-ahead economic optimization dispatching method for an optical-storage-charging energy router, comprising the following steps of 1, establishing a mathematical model of the optical-storage-charging energy router and its components; 2, dividing the whole day into N equal time periods; 3, establishing an economically optimal objective function; 4, establishing a constraint condition; and 5, solving the optimization problem and obtaining a day-ahead economic optimization dispatching result. The method has substantial effects of rationally planning and dispatching the resources of the power grid and each port of the energy router under the condition of comprehensively considering various energy factors. The method optimizes the charging behavior of an electric vehicle, improves the voltage quality of the distribution network, explores the potential of an energy storage device, obtains an economically optimal day-ahead optimization dispatching result, and has a greater advantage than a traditional solution.

The invention provides a method for optimizing a power grid planning scheme based on a comprehensive cost model. According to the method, the comprehensive cost model, which adopts the planning target age limit as a boundary and considers the annual cost and the current value of a planned scheme at the end of the year, is created. The calculating range of the model is the grid equipment (substations and transmission lines) which produces variable amount of costs in the scheme, wherein economic life of old equipment is needed to be forecasted to determine whether needing to update and when updating within the planning period. Meanwhile, fault rate forecast of new and old equipment within the planning period is trained and output through a least square support vector machine algorithm. In addition, when the comprehensive cost model is applied to comparing planning schemes, in order to reduce the influence on error of economic variables, an interval method is adopted. Numerical examples show that economic optimization of the power grid planning scheme is effectively realized by combining the comprehensive cost model with the interval method, and the comprehensive cost model is suitable for planning target age limits in various lengths.

The invention discloses an electrified railway in-phase traction power supply system and a control method thereof. The in-phase traction power supply system comprises a traction transformer, a compensation matching transformer, an in-phase compensation device, an energy storage device and a measurement and control device. The primary side of the traction transformer is connected with a three-phasehigh-voltage bus, and any two terminals of the secondary side are connected with a traction load. The primary side of the compensation matching transformer is connected with the secondary side of thetraction transformer. The alternating current end of the in-phase compensation device is connected with the secondary side of the compensation matching transformer. The energy storage device is connected with the direct current end of the in-phase compensation device. The measurement and control device is connected with the in-phase compensation device and the energy storage device. According tothe invention, cophase supply of the whole railway is realized, and electric phase separation is cancelled; technical and economic optimization of cophase supply of an electrified railway is effectively realized; and the power quality problem of the negative sequence of a three-phase system, which is caused by the electric locomotive load of the electrified railway, is solved.