121 results about "Energy system optimization" patented technology

The invention discloses a regional integrated energy system optimization control method. The method comprises the following steps: S1, optimizing a control objective function of the regional integrated energy system; The purposes of the lowest total operation cost and the highest reliability and system emission reduction rate of the regional comprehensive energy system are achieved, and the objective function is divided into an operation cost model, an environment cost model and a system reliability model; including S11, constructing an objective function based on an operation cost model; S12,constructing an objective function based on an environment cost model; S13, constructing an objective function based on the system reliability model; S2, analyzing optimization control constraint conditions of the regional comprehensive energy system; S21, energy balance constraint analysis; S22, performing energy balance constraint analysis; And S23, system operation constraint. The control method aims at achieving the purposes that the total operation cost of the system is lowest, and reliability and system emission reduction rate are highest.

The invention discloses a method for optimizing the operation of a regional integrated energy system considering a load aggregator, First, the day-ahead forecasting data of electric load and day-aheadforecasting data of cold and heat load of the regional integrated energy system are obtained, Load aggregators obtain their respective regional integrated energy system heating and cooling loads taking into account the demand side response according to the specified different demand side response plans, In order to minimize the total operating cost of the regional integrated energy system, network constraint, energy production and conversion equipment constraints, As that constraint of the energy storage equipment and the cold-thermoelectric power balance of the regional integrated energy system are the constraint condition, an optimization model is established to obtain the operation power planning of each energy supply equipment and energy storage equipment, and the operation planning cost under each demand side response plan is compared to determine the optimal load aggregator demand side response plan and the optimal operation planning of each energy supply equipment and energy storage equipment. The method of the invention can effectively improve the economy of the operation of the regional integrated energy system.

The invention relates to a comprehensive energy system optimization dispatching method considering various flexible loads. The comprehensive energy system optimization dispatching method comprises thefollowing steps of 1) building a comprehensive energy system mathematical model comprising a gas turbine power generation system capable of moving, rotating, reducing a load model and storing energyaccording to an excitation compensation mechanism by combining power utilization and dispatching characteristic of each flexible load in the comprehensive energy system; and 2) building supply-demandcombination daily optimization dispatching model, taking total running cost as minimum according to the comprehensive energy system of which power, heat and load can participate in interaction, leading the model into an automatic computer system, solving output of each equipment of the comprehensive energy system by the automatic computer system, and controlling each equipment according to outputto obtain an optimization running result. Compared with the prior art, the comprehensive energy system optimization dispatching method has the advantages that the running cost of the system can be obviously reduced, the difference between peak and valley of the load is reduced, and the peak power utilization pressure is reduced.

The present invention relates to a comprehensive energy system day-ahead economic dispatching method, by which the technical problem that the comprehensive energy utilization efficiency is low due tothe fact that an existing analysis method takes insufficient consideration of the multi-energy coupling effect of heat, electricity and gas can be solved. The method comprises the following steps of S100, establishing an energy efficiency model with economic benefit maximization as a target to meet the requirements of different users for electricity and heat under supply and demand balance and operation constraint conditions; S200, establishing a model objective function, taking the total profit maximization as an objective function, i.e., the total system cost is subtracted from the energy selling profit, wherein the total cost comprises the operation cost of power supply, heat supply and gas supply, the starting cost and the shutdown cost; S300, establishing a model constraint condition,wherein the model needs to meet two types of constraints of the system operation constraint and the operation constraint of each device; and S400, performing linear conversion on the model. Accordingto the method, the segmented linearization is adopted to carry out conversion solution, a good effect is achieved, and important guidance can be provided for researching comprehensive energy system optimization scheduling adapting to the marketization environment.

The invention discloses an opportunity constraint planning-based commercial park comprehensive energy system optimization scheduling method. The method comprises: firstly, constructing a commercial park comprehensive energy system model, and on the basis of modeling of energy conversion of all elements in a park, considering uncertainty of new energy output and load, and establishing a commercialpark energy optimization scheduling model based on opportunity constraint planning. The model aims at minimizing the operation cost. An improved immune genetic algorithm and a stochastic simulation hybrid algorithm are adopted for solving, quantitative indexes are established for accompanying unbalance risks in an opportunity constraint planning model, reference is expected to be provided for comprehensive energy system operation scheduling for balancing economy and reliability, and the method has important guiding significance for actual scheduling of the system.

The invention discloses a control-strategy-included optimized scheduling and evaluation system and method of an integrated energy system of an industrial park. The method comprises: at a day-ahead scheduling stage, on the basis of prediction of cold, thermal, and electric load curves, an integrated energy system makes a decision of an optimal day-ahead set output by using the operation economy ofthe integrated energy system as an optimized objective according to performances and capacity parameters of all sets; at a real-time scheduling stage, an obtained load prediction result and a calculated optimal scheduling curve are modified properly in advance for certain time by combining current factor changing situations, and a real-time scheduling instruction is generated at a current time ofoperation of the system to realize system optimization, wherein several kinds of control strategies like off-grid and grid-connected control, direct load control, and user temperature control are usedat the real-time scheduling stage; and on the basis of obtaining the optimal scheduling curve, the system is scheduled further to complete evaluation of energy efficiency indexes like economical, environmental protection, and energy saving indexes of the integrated energy system.

The invention discloses a distribution network expansion planning method considering the optimized operation of a regional integrated energy system. Firstly, a regional integrated energy system modelis established and the internal energy flow relationship is analyzed. Secondly, based on the multi-agent system, a three-layer interactive structure including the main layer, the regional layer and the device layer is built to realize the interaction of different entities on the spatial scale. Then, a bi-level optimization model is established for the distribution network with residential, commercial and industrial regional integrated energy systems. The upper level is used for the expansion planning of distribution network, and the lower level is used for the optimization operation of regional integrated energy systems. Genetic membrane algorithm and sequential quadratic programming are used to solve the upper and lower level models nested nested. Finally, the simulation example shows that the distribution network planning considering the optimal operation of regional integrated energy system can reduce the total cost of planning, improve energy efficiency and new energy consumption rate.

The invention discloses an energy system optimization scheduling method based on multi-working-condition equipment operation. The method comprises the following steps of acquiring an iron and steel enterprise energy system network topology structure, schedulable key equipment information, the historical data of energy production consumption and a corresponding production condition; according to the historical data of the energy production consumption and the corresponding condition, constructing a data set and training a BP neuron network; identifying a current production condition and combining a future period production and a maintenance plan to obtain energy supply and demand data and a unbalanced energy amount of an energy system in a future scheduling period; pre-establishing an equipment unit mathematical model; combining a current condition constraint condition and an unit mathematical model, and using a mixed integer nonlinear programming method to establish an economic operating cost EOC function; and solving an optimal solution and acquiring a distribution scheme. By using the method, aiming at real-time production data, an optimization scheduling scheme is acquired, a single energy medium adjusting defect is overcome, and the energy efficiency and the benefits of a system are comprehensively increased.

The invention discloses an optimal scheduling method of an integrated energy system considering the power-to-gas (P2G) running cost, comprising the following steps: establishing an energy hub model containing P2G, analyzing the influence of the P2G running cost on the system economy and the wind power acceptance capacity on the basis of the model, and establishing a multi-objective day-ahead optimal scheduling model; and coordinating the contradictory relation of the multi-objective day-ahead optimal scheduling model through a weighted fuzzy programming method to realize the transformation from multiple objectives to a single objective. The multi-objective model proposed in the invention takes both the system economy and the wind power acceptance capacity into consideration, and diversified choices can be provided for scheduling decision making.

The invention discloses a distributed energy system energy optimization regulation and control method fusing demand side response. The method includes the steps that a distributed energy system optimization regulation and control model is established, and the response capacity of user refrigeration equipment is introduced to participate in distributed energy system optimization operation; through considering the heat balance equation of an intra-system building, a mathematical relation between obtained user indoor temperature and output of the refrigeration equipment is described in a quantified mode. On the basis of meeting the requirement for comfort of a user in energy using, dependency on a battery energy storage system is reduced, and economy of distributed energy system operation is effectively improved; the distributed energy system optimization regulation and control model is established, the response capacity of the user side refrigeration equipment is introduced to participate in distributed energy system optimization operation, meanwhile, through considering the heat balance equation of the intra-system building, the mathematical relation between the obtained user indoor temperature and output of the refrigeration equipment is described in the quantified mode, and the comfort of the user is guaranteed. The result shows that through introduction of the user demand response, the energy-using cost can be effectively lowered.

The invention discloses a comprehensive energy system optimization method and system considering the demand side response uncertainty, and the method comprises the steps: establishing the regional comprehensive energy system energy coupling matrix considering the demand side response, proposing the comprehensive demand response linear model, exploring the relationship between the excitation priceand the demand response range, describing the uncertainty of demand response by adopting an interval method, obtaining an interval in which a user participates in the demand response by only needing asmall amount of data, establishing an optimization model taking the lowest operation cost as a target and taking network constraint, equipment constraint, demand side response constraint and power balance constraint as constraints, and providing a solution scheme. According to the method, the energy utilization efficiency of the system can be effectively improved, the operation cost of the regional comprehensive energy system is reduced, the benefit maximization of supply and demand sides is realized, and help is expected to be provided for research of regional comprehensive energy demand response.

The invention discloses an integrated energy system operation scheduling method suitable for a multi-target optimization scene. According to the method, an optimal operation model of a cooling-heating-power integrated energy system under multiple targets is established according to the operation mode of the cooling-heating-power integrated energy system; a multi-target hierarchical progressive parallel algorithm based on an improved NSGA-II is proposed according to model characteristics; a target achieving method is introduced through a non-dominating layer ordering algorithm by changing a convergence judgment condition to improve accelerated convergence; and a parallel calculation scheme is designed according to algorithm characteristics. In this way, on the premise of considering the diversity of an algorithm search solution, the convergence speed of model solving is increased, an obtained scheduling strategy solution set can provide a basis for a user to decide selection of an optimal operation scheme according to different demands, and a thought and a method for realizing multi-target united optimal operation of the cooling-heating-power integrated energy system are provided.

The invention discloses a paper mill cogeneration energy system optimization system and a working method thereof. The system comprises a data collection system, a real-time database, a relational database, a material flow simulation model library, an energy flow simulation model library, an energy flow optimization model library and a human-computer interaction interface which are mutually connected; the system collects key data of energy consumption through the data collection system and stores the key data into the relational database; the material flow simulation model library, the energy flow simulation model library and the energy flow optimization model library calls the data in the relational database for optimization; the optimization result is stored in the relational database; the optimization of an automatic proceed system is called by a field controlling system, such as SCADA, DCS and the like. The system in the invention can realize economic operation of cogeneration energy system, effectively save energy sources, and reduces operation cost or improves profits.

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.

A method, computer program and system for optimizing the usage of energy sources on ships is disclosed. The method involves creating a computer simulation model of a ship, optimized for fuel efficiency. Creating the computer simulation model involves selecting equations from a pool of equations, describing core components and structural features of a ship, and data from a pool of characteristic data for ship's core components and structures. Moreover, a method, computer program, and system for optimizing fuel efficiency of ships by the use of a computer simulation model is disclosed.

The invention discloses a comprehensive energy system optimization method, which comprises the following steps of obtaining system parameters of a comprehensive energy system, and constructing a jointoptimization model based on two-stage random optimization by utilizing the system parameters, wherein the system parameters comprise equipment parameters and line parameters during planning and source load parameters during operation; deconstraining the constraint optimization problem in the joint optimization model to obtain a target joint optimization model of the unconstrained optimization problem; carrying out iterative solution on the target joint optimization model by utilizing an accelerated gradient descent algorithm to obtain system optimization parameters; and utilizing the system optimization parameters to optimize the planning and operation of the comprehensive energy system. According to the method, rapid, effective, real-time and dynamic planning optimization and operation optimization can be carried out on the comprehensive energy system. The invention further discloses a comprehensive energy system optimization device and equipment and a readable storage medium which have corresponding technical effects.

The invention discloses a user-level comprehensive energy system optimization scheduling method based on multiple time scales, and the method comprises the steps: building an objective function and aconstraint condition of the day-ahead and day-inside two-stage optimization scheduling of a comprehensive energy system, and providing a controllable unit start-stop plan and output for ensuring the economic and environment-friendly operation of the system in the day-ahead stage; in intra-day stage, achieving hierarchical control according to dynamic characteristics and time constant differences of cold and hot energy and electric energy, wherein the upper layer stabilizes the cold and hot energy power fluctuation with long scheduling duration, and the lower layer stabilizes electric energy power fluctuation with short scheduling time; and correcting the unit output through unit regulation and control penalty cost guidance and adjustment range constraint rolling. Economic and environment-friendly operation of the system can be achieved, prediction deviation of cold and hot energy loads, electric energy loads and renewable energy sources can be compensated in a layering mode along withreduction of the time scale, and safe, stable, efficient and economical operation of the comprehensive energy system is guaranteed.

The invention provides a block chain-based energy system optimization method in complex scenarios after initialization. The optimization problem is solved through the nodes of the whole network, the node with the fastest solution obtains the block bookkeeping right and broadcasts it to the whole network, blocks received by other nodes are verified for correctness, the verified block is the globaloptimal solution of the convex optimization model of the power system, and can be confirmed and broadcasted to the whole network. The energy block chain model proposed by the invention can meet the requirements of the security, openness, throughput and the like of the complex optimization scene of the power system, and has the landing and application capability.

The invention discloses a monitoring diagnosis system of a paper-making machine drying part energy system, comprising a data preprocessing and guiding module for storing a uniform format and a unit of acquired logistic data of a paper-making machine drying part into a relational database module, the relational database module for storing and converting data, an energy system diagnosis model database for diagnosing and analyzing the logistic data stored in a relational database, a human-computer interaction interface for calling and displaying a diagnosis report obtained by the energy system diagnosis model database, and an energy system optimization scheme knowledge base and an optimization algorithms library for carrying out optimum design on the drying part system according to the diagnosis result of the energy system diagnosis model database module. By adopting the system and the method, the energy-using circumstance of the paper-making machine drying part can be comprehensively monitored in real time and automatically controlled, and the energy can be saved by 3-7%.

The invention discloses a regional comprehensive energy system optimization scheduling method considering disaster recovery. The method comprises the following steps: firstly establishing an economicdispatching model and an energy storage maximization dispatching model, then carrying out weighted fuzzy processing on the economic dispatching optimization model and the energy storage maximization dispatching optimization model, establishing a regional comprehensive energy system optimization dispatching model considering disaster recovery, and carrying out solving to obtain an operation mode. According to the invention, the problem that the regional integrated energy system does not have disaster recovery resistance during economic operation can be avoided; the problem that the cost is toohigh when the regional integrated energy system operates with disaster recovery as the target can be avoided, and the contradiction relation between the economy and disaster recovery resistance of system operation can be well balanced according to the occurrence probability of natural disasters and the damage condition to the system after occurrence.

The invention discloses a comprehensive energy system optimization method considering characteristics of a natural gas pipe network and a heat supply pipe network. The invention discloses a comprehensive energy system optimization method. The method comprises the following steps: 1) constructing an energy center equipment model containing multi-energy flow coupling equipment and energy storage equipment; 2) constructing an energy network model containing a power network, a natural gas pipe network and a heat supply pipe network; and 3) taking the minimum total cost in the operation period of the comprehensive energy system as an optimization target, considering the construction constraint and the operation constraint of the comprehensive energy system, and establishing a comprehensive energy system optimization model considering the characteristics of the natural gas pipe network and the heat supply pipe network. A technical scheme of comprehensive energy system collaborative planningcan be provided, and the comprehensive energy utilization rate is improved while the system flexibility is enhanced.

The invention provides an electrical interconnection integral energy system optimization operation analysis method based on probability trend; the method comprises the following steps: modeling, considering couplings between models, analyzing operation modes, wherein the modes include a fixed hot point FTL mode, a fixed electric heat FEL mode, and a mixed operation FHL mode; analyzing uncertain factors, wherein the uncertain factors comprise load, wind power plant output and photovoltaic power plant output randomness; using a point estimation method to build sampling points according to distribution conditions of each random variable; using a heredity algorithm to solve the generating cost minimum cost under various operation modes, thus obtaining the generating cost statistics amount. The method applies three operation modes under the integral energy system probability trend, parses the whole system generating cost changes caused by the state variable changes under the three operation modes, calculates the whole integral energy system generating cost, searches the optimal operation mode according to the generating cost probability distribution curve under the three operation modes, and thus providing references for electric power scheduling personnel.

The invention relates to a comprehensive energy system optimization scheduling method and system. The method comprises the steps that the obtained source load characteristic matching degree of each comprehensive energy system is substituted into a pre-established system function distribution layer optimization model, the cooling, heating and power supply amount and the load distribution ratio of each comprehensive energy system are obtained, and overall scheduling is conducted on the comprehensive energy systems on the basis of unit output of the comprehensive energy systems. The invention discloses an optimal scheduling method and system for a comprehensive energy system. According to the optimal scheduling method, the economical efficiency is ensured, the characteristics of the two sidesof the source load can be taken into consideration, the complementary characteristics of different types of loads and the interconnection and mutual aid capacity of all comprehensive energy systems are brought into full play, collaborative optimization scheduling of the multiple comprehensive energy systems in the region is achieved, and compared with a traditional optimization operation mode, the method has higher operation benefits.

The invention relates to a cyclic regeneration environmentally-friendly energy system optimization set. A hydraulic power and temperature difference generating system is used for converting energy, optimizing the system and automatically controlling an output and input energy feedback distribution ring and a bus and has sharply increased power density, output power and efficiency and stability. The power of a power station is 450 to 750 percent of that of the original power station and can reach 1389 percent of that of the original power station to the maximum extent, so that the capacity of human energy and electric power can be expanded by 90 to 300 percent. The invention also relates to a thermal energy high-grade recycling device and a thermal energy high-grade recycling method. Various kinds of known energy can be input and output; and proper energy such as heat energy, temperature difference energy, hydraulic energy, air energy, solar energy, wind energy, terrestrial heat, waste heat and the like which is input and output or arranged and combined is automatically controlled. Valuable energy cannot be consumed; the optimization set is widely used for low-cost energy, electric power, heat, refrigeration, motive power, transportation tools, equipment and the like; and the problems of energy and environmental friendliness are radically solved.

The invention discloses a multi-objective optimization method and optimization system for a regional integrated energy system. The method comprises the following steps: firstly, determining a multi-dimensional optimization objective of the regional integrated energy system; then, on the basis of a known regional integrated energy system optimization target, constructing a model framework of the regional integrated energy system, and carrying out modeling on energy conversion equipment, distribution equipment, transmission equipment, electricity storage equipment and other equipment in the regional integrated energy system; meanwhile, setting constraint conditions, including energy balance constraint, energy conversion equipment output constraint, tie line transmission power constraint and energy storage constraint. And finally, solving the established multi-objective optimization model to obtain an iterative optimization process of multi-objective optimization and a final multi-objective optimization solution set. According to the method, a multi-objective optimization scheme of the regional integrated energy system is provided, and the requirement of the regional integrated energy system for coordinating multiple optimization objectives is met.

The invention relates to a comprehensive energy system of electric, cold and thermal multi-terminal requirements, and particularly to a comprehensive-energy-system optimization method based on doubleconstraint conditions of optimal environment emission and thermal-exergy utilization. The method is based on constituent elements of a cold, thermal electric triple-supply system of fired gas, a fired-gas boiler, an electric refrigerator and a photovoltaic+energy storing system of the comprehensive energy system, all types of market values of greenhouse-gas (carbon) emission, benefits of environment tax saving, a green certificate of renewable energy and energy use right of a highly efficient fired-gas energy station are all standardized as comparable prices through a carbon emission accounting method based on terminal consumption and other methods according to all the elements of the system; and a system ratio interval of optimal thermal-exergy utilization is obtained by initial derivation, and then ratio composition of all subsystems of the comprehensive energy system corresponding to a smallest total amount of greenhouse-gas and pollutant emission is finally selected through simulation, measurement, calculation and verification on total amounts of greenhouse-gas and pollutant discharge. The method has the advantage of realizing system matching degree optimization for features ofcleanness and high efficiency of the comprehensive energy system.

The invention discloses a comprehensive energy system optimization method considering different energy storage operation strategies. The method comprises the following steps: S1, establishing an energy center model; S2, obtaining an energy flow equation in the energy center through the energy center model, wherein the energy flow equation comprises a power system equation, a thermodynamic system equation and a cooling system equation; S3, respectively formulating a balanced load operation strategy and a peak-valley combined operation strategy of the battery energy storage system; S4, respectively planning a cooling system, a heating system and a power supply system in the comprehensive energy system; S5, establishing an optimization model of the comprehensive energy system, wherein the optimization model comprises annual total cost and constraint conditions; and S6, calculating and solving the optimization model of the comprehensive energy system by adopting a genetic algorithm.

An embodiment of the invention discloses an energy system optimization dispatching method and device. The method comprises the following steps: according to uncertain variables in an energy system and probability distribution of the uncertain variables, constructing a scene set under gas generation and steam electricity demand uncertainty; constructing an uncertainty model for energy system optimization dispatching according to the scene set; and solving the uncertainty model to obtain an optimization dispatching scheme of the energy system. According to the technical scheme, coordinated optimization dispatching of multi-energy mediums under an uncertain environment is realized, the energy system is allowed to operate economically and economic benefit of an enterprise is improved.

The invention discloses a novel refrigeration system with an energy system optimization device. The refrigeration system is mainly characterized in that: the energy system optimization device is arranged in the conventional refrigeration system loop consisting of a compressor, a condenser and an evaporator. The energy system optimization device is connected with the condenser and the evaporator and can realize the heat exchange of low-temperature gas flowing out of the evaporator and high-temperature gas flowing into the condenser or high-temperature liquid flowing out of the condenser to improve the degree of supercooling of a refrigerant and achieve the effect of optimizing the efficiency of an air conditioning. Meanwhile, the energy system optimization device heats the gas, separates the liquid from the gas, makes the liquid reserved in the energy system optimization device until the liquid is completely heated and vaporized, prevents the liquid from flowing into the compressor, reduces the vibration and noise of the compressor, and effectively improves the operating efficiency of the compressor. Thus, the novel refrigeration system has the advantages of lowering energy consumption, improving the quality and service life of the refrigeration system and stably operating.

The invention provides an optimized operation method of a cool and thermal power comprehensive energy system. The optimized operation method comprises the steps of: 1) taking the optimal overall operating economic efficiency of the cool and thermal power comprehensive energy system as the core, considering multi-time scale characteristics of the cool and thermal power comprehensive energy system,and constructing a system operating total cost minimum objective function; 2) establishing an equipment constraint model and a power balance constraint model as the multi-time scale characteristics ofthe cool and thermal power comprehensive energy system are considered, and regarding the equipment constraint model and the power balance constraint model as constraint conditions of the system operating total cost minimum objective function; 3) and adopting a branch and bound method, and solving the system operating total cost minimum objective function according to the constraint conditions instep 2). For the complex structure and operation mechanism of the cool and thermal power comprehensive energy system, the optimized operation method can improve the energy utilization rate, reduces the operating cost, and realizes the optimized operation of the cool and thermal power comprehensive energy system.