1348 results about "Integrated energy system" patented technology

The invention discloses a regional integrated energy system operation robust optimization method considering electricity-to-gas conversion and uncertainty, and the method comprises the steps: carryingout the detailed modeling of an electricity-to-gas conversion process according to the principle of an electrochemical reaction, and analyzing the coupling relation between different energy forms ina matrix mode based on an energy center model; establishing a regional comprehensive energy system operation optimization model considering the uncertainty of various load prediction powers, and establishing a two-stage robust optimization model according to a polyhedral uncertain interval; and decomposing the two-stage robust optimization model into a main problem and a sub-problem, converting the sub-problem into an optimization problem of a single target, and carrying out iterative solution to obtain a comprehensive energy system robust optimization scheme. According to the method, the potential of complementary mutual relief and flexible scheduling among multiple energy forms is fully excavated, wind curtailment can be reduced, and the operation economy and flexibility of the comprehensive energy system are improved; and the contradiction between the operation risk and the cost can be coordinated according to the actual condition of the regional integrated energy system.

The invention relates to a design method for an integrated energy system with source-load-storage coordination and interaction. A lot of source-load output scenes are generated via Latin hypercube sampling, and a few of specific probability of planning scenes in which original scene characteristics are reserved are obtained via cluster analysis combined with a scene reduction method. An installedcost model and an operation cost model are established for each piece of equipment, an upper-level optimization model is optimized to minimize the sum of the annual investment conversion cost and theannual operation cost in different probability scenes, a lower-level optimization model is optimized to minimize the annual operation cost in different probability scenes a double-layer planning modelof the integrated energy system with source-load-storage coordination and interaction is established, and different reliable and safe operation constraints are met. The upper-level and lower-level optimization models are solved by an element model global optimization algorithm and a second-order conic optimization method respectively, solving is carried out by interactive iteration till convergence, and the installed capacity and optimal operation scheme of each piece of equipment of the integrated energy system are obtained by optimization. The method can be applied to capacity planning andoptimized design of the multiple energy complementary integrated energy system.

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.

An integrated energy system for a home or other building utilizes a heated reservoir for energy storage. The reservoir is mainly heated by one or more solar collectors. The system also includes an environment-coupled piping loop through which a cooling fluid is circulated such that heat is exhausted from the cooling fluid to the environment. The thermal energy from the reservoir and the cooling fluid are then used in an integrated set of systems that provide space heating, space cooling, and electrical generation. Electricity is generated by a thermoelectric generator that exploits the temperature differential between the reservoir and the cooling fluid. The system may include heating and storage for domestic hot water, and may use excess power for hydrogen production. Backup heating and electrical systems may be provided for.

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 discloses an integrated energy system optimization scheduling method considering a carbon trading mechanism and a flexible load. The technical solution of the invention comprises a stepof modeling a coupling link of an integrated energy system based on an energy center model and outputting electric energy, heat energy and natural gas to supply load demand, wherein input energies areelectric energy and natural gas, a step of introducing the carbon trading mechanism into an integrated energy system scheduling model, comprehensively considering the carbon emissions of an entire energy supply chain, and establishing an over-discharge penalty mechanism, a step of applying the flexible load to the low-carbon economic operation of the integrated energy system, and a step of introducing a power system network constraint, a natural gas system network constraint and an energy center internal constraint on the above basis and establishing an integrated energy system low-carbon economic scheduling model with the goal of carbon trading cost, flexible load scheduling cost and system energy cost. According to the method, the consumption of renewable energy can be promoted, the system energy consumption and carbon emission are reduced, and the comprehensive benefits of the system are significantly improved.

The invention relates to a multi-source coupled integrated energy system planning method. The method comprises steps that 1), an integrated energy system coupling model is established, and the coupling relationship among cold/heat/electrical/gas energy forms is described through listing mathematics coupling matrixes; 2), regional present situation analysis is carried out; 3), regional energy demand prediction is carried out; 4), energy supply equipment output analysis is carried out; and 5), energy station site selection and capacity setting are carried out, energy station site selection is reasonably determined, an energy station optimization planning target function and a constraint condition establishment solving model are determined, and the optimal energy station configuration capacity is acquired through solving the model. The method is advantaged in that on the condition that cold/heat load demands can be satisfied, site selection and capacity setting of a wind turbine generatorsystem, a photovoltaic electrical station, a gas turbine set and a ground source heat pump set are optimized, and bases are provided for planning and operation of an integrated energy system.

The invention provides a mixed integer nonlinear model optimization method for a region distributed type cooling, heating and power poly-generation system. A distributed energy supply system is designed and optimized according to regional load characteristics, and the guidance is provided for the overall planning of a regional integrated energy system. Through the feedback on the operating state of a model optimized output, the envelop enclosure of an existing building is transformed definitively and exemplarily, so that the load level of a system balance object is reduced. According to the technical scheme of the invention, according to chronological load characteristics, the technology components and the technology parameters of the system are designed, and a production running scene of the poly-generation system is set. Meanwhile, the running state and the running parameters of the CCHP poly-generation system within each hour during the full production period can be accurately simulated and optimized in real time under the consideration of comprehensive benefits. Therefore, a reasonable solution is provided for the design and the optimization of the region distributed type cooling, heating and power poly-generation system, wherein the advantages of economy, environmental protection, energy conservation and the like are simultaneously realized.

The invention, which relates to the technical field of the integrated energy system, provides a stable evaluation and static control method for an electro-thermal-gas integrated energy system. The method comprises: S1, modeling is carried out on an electro-thermal-gas integrated energy system by means of combination of data driving and mechanism driving; S2, screening and correlation identification of abnormal data are carried out; S3, a stable evaluation method is implemented; to be specific, a calculation formula of a stability index is defined by taking power flow calculation of an energy flow and load reduction quantity and wind curtailment quantity calculation as priorities and using determination of exceeding the limit by the energy flow as an evaluation criterion and a system stability evaluation standard comparison table is provided; and S4, static control is carried out, so that a sub-system independent solution problem and a multi-system coordinated solution problem are solved. According to the invention, with the integrated energy system model established by combination of data driving and mechanism driving, prediction of the load changing situation and dual identification of abnormal data of the system are realized, so that stability evaluation and static controlling are carried out on the system accurately and reasonably.

The invention discloses a probability energy flow analysis method for an integrated energy system (IES). According to the method, the concept of probability energy flow widely applied to an electric power system (EPS) is generalized to probability energy flow analysis of the IES, the influence on the state quantity probability distribution of the IES from the uncertainty of electricity, gas and heat loads of the IES and output of a wind power plant is quantitatively evaluated, and therefore a foundation is laid for subsequent network planning, steady-state analysis, optimized dispatching, real-time control, safety analysis and the like of the IES.

The invention provides an evaluation method for evaluating the energy efficiency of an integrated energy system. The method comprises the steps of in each of various integrated energy systems, collecting the parameters of an energy efficiency criterion layer, wherein the equipment of the energy efficiency criterion layer is composed of a distributed power supply, a power distribution network, a thermal network, an energy storage system and a load device, and each device includes at least one indicator; determining the evaluated value Ei of each energy efficiency evaluation index of the energy efficiency criterion layer, determining an index weight coefficient Wi corresponding to each evaluated value Ei, and determining the energy efficiency quantized value E=sigma (Wi*Ei) of an energy efficiency target layer of each integrated energy system, wherein i is a positive integer; comparing the energy efficiency quantized values E of any two integrated energy systems, and the evaluated values Ei of identical energy efficiency evaluation indexes; in an integrated energy system relatively low in energy efficiency quantized value E, screening out an index relatively low in the evaluated value Ei of an energy efficiency evaluation index, and optimizing the equipment having the above energy efficiency evaluation index.

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 a multi-region integrated energy system operation method based on an operation optimization model. The method comprises the steps that 10) a thermal network energy transmission general model is established and simplified into a thermal network energy flow model and a thermal network flow- temperature equation, and a thermal network operation cost model is established; 20) based on a CCHP operation optimization model, the thermal network energy flow model is combined to establish a multi-region integrated energy system operation optimization model; and 30) a multi-region integrated energy system operates according to the operation optimization model established in the step 20). The method can realize thermal energy exchange in different regions, realizes unified scheduling of equipment in different regions, enables the equipment to work in the best condition as much as possible, realizes the optimal work coordination, and improves the energy system economy.

The invention discloses an expansion planning optimization method for electricity-gas-heat integrated energy system with wind power, comprising the following steps: (1) modelling an energy center including an energy center electric input vector and a gas input vector, CHP, PTG, an initial system, a heat pump system, a power storage system, a heat storage system and an electric, thermal and gas load; (2), carrying out refined expression on the uncertainty of the wind power according to the set time period; (3), according to the modeling in step (1) and the refined expression in step (2), establishing an IES expansion optimization planning model containing wind power, and using a two-stage planning solution strategy based on scene method to obtain the final energy system expansion result. As the couple planning of the power, the gas and the heat sources can reduce the overall planning cost, the economy of the system is greatly improved, and the expansion plan combined with the local wind power access capacity and the load level has a very critical influence on the system economy.

The invention discloses a multi-period power flow optimization method for electricity-gas interconnected integrated energy system, which comprises: (1) obtaining electricity-gas interconnected integrated energy system information; (2) construct electricity-gas interconnected integrated energy system multi-period scheduling model according to the system information; (3) converting the nonlinear andnon-convex equations of gas pipeline flow and pressure in the multi-period dispatching model of electricity-gas interconnected integrated energy system into the natural gas power flow model with enhanced second-order cone constraints. (4) solving the converted the multi-period dispatching model of electricity-gas interconnected integrated energy system and the obtaining optimal solution. (5) by taking the optimal solution as the initial value, performing linearization iterative solution on the converted the multi-period dispatching model of electricity-gas interconnected integrated energy system by using DCP method until the natural gas system meets the power flow constraint strictly. (6) outputting The final solution at the end of iteration as the optimal power flow solution in the future. The invention can effectively carry out multi-period power flow optimization.

The invention discloses a multi-dimensional optimization method of an integrated energy system based on an improved whale algorithm. The method models the integrated energy system, takes the minimum overall operation cost as an objective function, takes the balance conditions of electricity, heat and cold as a constraint condition, and adopts the improved whale algorithm to obtain the global optimal solution of the objective function. The improved whale algorithm is based on the traditional whale algorithm by introducing adaptive weights and Cauchy mutation. On the one hand, the invention improves the global searching ability of the whale algorithm and avoids falling into local optimization; On the other hand, the local searching ability is improved, the convergence speed and precision areimproved, and the stability is good.

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 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 provides a regional integrated energy system energy storage configuration method considering an electric/thermal flexible load, and the method comprises the steps: firstly comprehensively analyzing the composition of the electric load and the thermal transmission characteristics of a heat supply system, and building an electric/thermal flexible load model; then, on the basis of the architecture of the known regional integrated energy system, establishing a model of each energy assembly, meanwhile, setting constraint conditions, including energy balance constraint, energy assembly output constraint, tie line transmission power constraint and energy storage constraint; secondly, considering system energy consumption, investment, operation and maintenance and compensation cost, and establishing an economic single-objective optimization model; and finally, based on the LINGO18.0 software, solving the established energy storage optimal configuration model to obtain the optimal output of each device and the optimal capacities of the storage battery and the heat storage tank. According to the method, the regional comprehensive energy system is subjected to energy storage optimization configuration, and the energy utilization efficiency is improved.