111 results about "Energy hub" patented technology

There is disclosed a system, computer program and method provided for enabling an energy hub for improved management and optimization of energy utilization (consumption, production and storage). In an embodiment, a computer-implemented energy hub management system comprises a micro energy hub configured to communicate with two or more energy components at a premises. An energy optimization engine has an energy component model for each energy component based on each energy component's operating characteristics, the energy optimization engine adapted to receive at least one input from the two or more energy components and an input from an external data source on any external energy utilization restrictions for the micro energy hub. In response to at least one input from the two or more energy components and any external energy utilization restrictions on the micro energy hub, the energy optimization engine is adapted to issue one or more control signals to at least one of the energy components at the premises to optimize energy utilization based on one or more optimization criteria.

The invention discloses a modeling and optimized dispatching method of an electrical series-parallel system on the basis of an energy center. The modeling and optimized dispatching method comprises the following steps: firstly, establishing an electrical network, a natural gas network and an energy hub model, and coupling the electrical network with the natural gas network through an energy hub to form the electrical series-parallel system; then, taking total energy cost as a target function, and considering various constraint conditions to establish an optimized dispatching mathematic model of the electrical series-parallel system; and carrying out solving by a primal-dual interior-point method, importing a slack variable and a barrier parameter in sequence in a solving process so as to change the model into a model which only contains an equality constraint, then, importing a Lagrange multiplier to obtain a Lagrange function, and solving a non-linear equation set formed by a KKT (Karush-Kuhn-Tucker) condition of the Lagrange function by a Newton method. A constructed example simulation result indicates that an optimization effect on the electrical series-parallel system by the modeling and optimized dispatching method is superior to an independent optimization effect.

The invention discloses an energy hub planning method considering integrated demand response resources. The method comprises the following steps that (1) data acquisition, including weather temperature of different seasons, power load, wind power output, candidate capacity of equipment under planning, investment cost and various parameters for normal operation of the system, is performed; (2) concrete classification and model establishment of the demand response technology are performed according to the controllability of various load; (3) modeling of an energy hub is performed according to the coupling transformation relation of various energy in the energy hub and solution is performed by using cplex; and (4) whether the planning result is more superior after participation of various demand responses is judged and the optimal result is outputted. According to the method, the translatable, transferable and cuttable demand response characteristics of various load are fully utilized toparticipate in planning and operation of the energy hub so that model selection and configuration of various types of equipment can be optimized, the total cost of planning and operation of the energyhub can be reduced and the decision support can be provided for the planning work of the energy hub.

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 aims at absorbing all renewable energy, realizing peak clipping and value filling of the large power grid, improving economical benefit and adjusting accuracy of an energy hub with CCHP, and reducing the transmission cost of natural gas. An energy hub model with a power to gas function, energy storage, CCHP and electric energy feedback is constructed. Factors including a power to gas commissioning factor of a fuel and purchase based electric charge rate structure and nondeterminacy of self gas utilization and wind power output of the energy hub are taken into consideration, the energy hub model is optimized to make the fuel cost of the energy hub minimal and the energy interaction cost of the main grid minimal, and the effectiveness of the constructed energy hub model is determined.

The invention provides a multi-main-body cooperation optimization operation and cost benefit distribution method for comprehensive energy system, and relates to the technical field of integrated energy system economic operation. The method is based on an energy hub concept, and comprises: providing a multi-energy hub cooperative operation mode, and establishing a multi-energy hub economic operation model containing renewable energy power generation and power storage equipment; and analyzing a cost benefit calculation method of each subject participating in cooperation, and distributing the increased cost and benefit for executing a cooperative economic operation strategy on each subject based on a cooperative game theory. According to the method provided by the invention, the characteristics of multi-energy complementation at the energy supply side and load transfer at the energy utilization side of the comprehensive energy system are fully considered. The multi-energy hub optimizationoperation model has economy and effectiveness, the development requirement of a green and low-carbon energy system is met, the cost and benefits of all subjects participating in cooperation are distributed based on a Shapley value method, and a splitting tendency index is designed to verify the enthusiasm of the method for maintaining cooperation stability.

The invention discloses a methane-wind-light full renewable energy system based on an energy hub and a methodthereof. The method comprises the following steps: constructing a full renewable energy system based on a methane-wind energy-solar hub; carrying out detailed modeling on an energy hub containing an energy storage element, processing the energy hub into a linearized matrix which is more adaptive to system optimization scheduling, and then further considering the output uncertainty of wind-solar renewable energy sources; and constructing a day-ahead-real-time two-stage distributed robustoptimization scheduling model based on data driving. According to the invention, the absorption of renewable energy can be promoted, the absorption of biomass energy is promoted, the heat preservation and supply of the biogas digester can be realized in winter, and the stable supply of biogas is guaranteed; and the thermoelectric coupling degree is weakened, the consumption of wind-solar renewable energy sources is effectively promoted, and meanwhile, the comprehensive scheduling cost of the system is reduced.

The invention discloses a park operator energy transaction optimization decision-making method based on supply and demand game interaction. The method comprises the following steps: performing detailed modeling analysis on internal energy equipment of a park comprehensive energy system by adopting the concept of an energy hub, establishing a benefit function by taking the net profit of energy purchasing and selling of a park operator participating in the market as a target, and simulating the benefit function through historical transaction strategy data of an energy supplier and a user; basedon the Stackelberg game theory, considering the initiative of energy suppliers and users at the same time, adopting a power-price curve containing profits and marginal costs and a time-sharing unifiedprice respectively, and providing a park operator supply and demand double-side game interaction framework; based on Nash equilibrium definition, enabling mathematical derivation to prove that the game model has a unique equilibrium solution; on the basis of an inverse induction method, adopting a solving algorithm combining a particle swarm algorithm and a CPLEX solver to solve the model, and the method is reasonable in structure, high in practicability and suitable for popularization.

The invention discloses a multi-energy flow transaction-oriented energy hub bidding method and system. The method first establishes a multi-energy flow transaction-oriented energy hub master-slave game bidding strategy model; then processes the energy hub master-slave game bidding strategy model , get the mixed integer linear programming model; and according to the mixed integer linear programming model, calculate the bidding strategy and the maximum operating income of the energy hub; hot sale price. Using the method or system provided by the present invention, fully considering the multi-energy flow trading capabilities of energy hubs with combined heat and power storage and combined heat and power generation functions, a bidding strategy for energy hub operators oriented to multi-energy flow transactions is given, and energy hubs are improved. The income of the operating entity in the multi-energy flow trading market.

The present disclosure discloses a method for optimizing equipment capacity and equipment power of an energy hub system. The method includes establishing an energy hub model containing natural gas boilers, electric boilers, coolers and heat pumps, establishing a bilevel optimized upper model to solve the optimal heat pump capacity, and establishing a bilevel optimized lower model to solve the optimal power utilization of each energy device based on the binary search algorithm of the quadratic function solves the upper model by using the multi-objective evolutionary algorithm NSGA-II to solve the lower model. The optimization method of the present invention can solve the multi-objective bilevel model problem without the help of commercial optimization software. Obtaining a reasonable, efficient and green planning scheme makes the total operating cost and total exhaust gas emissions of the energy hub relatively optimal.

The invention discloses a multi-energy flow integrated power flow decoupling method based on an energy hub in an integrated energy system. The method comprises the steps of (1) establishing basic models of the energy hub, a power network optimization power flow and a natural gas network optimization power flow, (2) establishing a basic architecture of a multi-energy flow optimal power flow problem, (3) constructing a multi-energy flow mathematical expression based on the energy hub, and (4) giving a specific flow of the multi-energy flow integrated power flow decoupling method. The invention decomposes the multi-energy flow optimal power flow problem into a traditional single-energy flow optimal power flow problem and maintains the characteristics of the synchronization analysis of an integrated energy system, and therefore, the multi-energy flow optimal power flow problem is solved well.

The invention discloses a comprehensive energy power distribution system operation domain modeling method which comprises the following steps: defining an energy hub input side tie line power set provided with an automatic control device as a working point based on geographic separation and energy regulation and control of an energy hub, and proposing a comprehensive energy power distribution system operation domain model; setting a multi-energy network and energy hub operation constraint condition in an operation domain solving process according to a safe operation requirement; and setting aboundary point judgment basis by taking the energy hub as a regulation and control means to solve the operation domain model. According to the comprehensive energy power distribution system operationdomain modeling method, visual display of the maximum operation boundary of the comprehensive energy power distribution system and judgment of the operation state of the working point are realized, and the comprehensive energy power distribution system operation domain modeling method can be applied to monitoring, evaluation and regulation of the operation state of the comprehensive energy power distribution system, and assists a dispatcher to formulate a control scheme.

The invention discloses a multi-point linearized probability energy flow method of an integrated energy system with electricity converting to natural gas. The method includes the following steps: firstly proposing an energy hub model containing wind electricity, thermoelectricity combined supply, and electricity converting to natural gas; then conducting quantitative analysis on precision of linearized energy flow equations of a power grid and a natural gas net, and subsequently making a conclusion that the precision of the linearized energy flow of the natural gas net is explicitly lower than that of the power grid. Based on the conclusion, the invention provides a method for calculating the multi-point linearized energy flow. At the same time, the method takes into consideration of the relativity between electricity, natural gas and thermal load and wind velocity, and based on a probability density distribution function of undetermined energy flow injection, adopts the monte carlo simulation method in generating random samples. For each random sample, the method adopts the multi-point linearization method in calculating the energy flow. According to the invention, the method has high calculation efficiency, and at the same time has linearization errors which are within an acceptance scope.

The invention discloses a standardized construction method of an integrated energy system energy hub model. According to the method, a complex integrated energy system energy hub model is divided into simple integrated energy system energy hub models, coupling matrixes of the simple integrated energy system energy hub model are orderly multiplied, and finally a coupling matrix of the whole complex integrated energy system energy hub model is calculated. In the construction process of the coupling matrix, the energy circulation is taken into consideration by means of adding a limit equation to the integrated energy system energy hub model, and the mismatch of the coupling matrixes of the different simple integrated energy system energy hub models is avoided through adding virtual energy conversion equipment. Meanwhile, in the construction matrix modeling process, the concepts of energy storage equipment location and energy side demand response are extended, thereby enabling the energy storage and energy side demand response of an electric power system to be extended to the integrated energy system.

The invention discloses a multi-user energy sharing method based on an electricity-light-biogas multi-energy coupling system, and the method comprises the following steps: building an electricity-light-biogas multi-energy complementary sharing framework which comprises an energy hub unit, a user energy sharing unit and a market bidding unit; establishing a double-layer planning model based on theelectricity-light-biogas multi-energy complementary sharing framework, the objective function of an upper-layer planning model of the double-layer planning model is the maximum profit of the energy hub unit, and the objective function of a lower-layer planning model of the double-layer planning model is the maximum satisfaction degree of user energy consumption; and formulating optimal schedulingarrangement and optimal pricing by utilizing the double-layer planning model so as to maximize the profit of the energy hub unit. The method solves the problems of waste and low utilization rate of wind energy, light energy, biomass energy and the like, ensures that the energy hub unit can obtain the maximum profit, and realizes win-win of users and the energy hub unit.

The invention discloses a method for solving the optimal energy flow of an electrically interconnected integrated energy system based on a second-order cone optimization algorithm. Firstly, an electrically interconnected integrated energy system model composed of an electric power system, a natural gas system and an energy hub is established. Then, the integrated energy system model is transformedinto a convex model which is easy to solve. Then, cut sets are introduced into power system and natural gas system respectively to ensure that the obtained solution is the optimal solution of the original problem. Finally, an example is given to verify the correctness and effectiveness of the proposed algorithm. The invention obtains an efficient and fast optimization method for solving an optimization model of an integrated energy system, and provides support for the optimization operation of an electrically interconnected integrated energy system.

The invention discloses an interval practical security domain modeling method, which is based on a regional comprehensive energy system containing renewable energy sources, considers the uncertainty of the renewable energy sources, and adopts an interval mathematical method for processing; by combining engineering practice, and based on the N1 security criterion of the regional comprehensive energy system and the load of an energy hub output side pipeline section, the method establishes an interval practical safety domain model of the regional comprehensive energy system containing renewable energy, further establishes an interval practical safety boundary model, and proposes an interval practical safety distance model and an interval maximum energy supply capacity model. On the basis, a system dimension reduction observation method and a full-dimensional observation method are established, and the safety of the regional comprehensive energy system containing renewable energy sources can be accurately and quickly analyzed.

The invention relates to an AC/DC hybrid microgrid topology design method based on an energy router. The design method can separate a plurality of AC/DC submicrogrids, and directionally simulate various microgrid topological structures at present and in the future, so as to meet various requirements of microgrid research, including an urban campus-type microgrid, island-type microgrid, and family-type microgrid. The design and implementation of AC/DC hybrid microgrid, on the one hand, can effectively eliminate the negative characteristics such as intermittency and randomness of renewable energy output, provide reliable power supply to distribution network, and improve the efficiency of energy utilization; On the other hand, facing the future, the microgrid will gradually change from a single regional power supply system based on electric energy conversion, storage and transmission to an energy hub with simultaneous integration of multi-energy conversion and interaction such as naturalgas and thermal energy utilization. The hybrid AC/DC microgrid based on the energy router can integrate multiple types of energy systems, which lays a foundation for this.

The invention relates to a park comprehensive energy system low-carbon operation method based on Q learning. The method comprises the steps: establishing a model PIES of a park comprehensive energy system based on the concept of an energy hub; considering the treatment cost of the PIES carbon dioxide emission, and establishing a mathematical optimization model of a PIES low-carbon economic operation strategy by taking the minimum daily operation cost of the PIES as a target; establishing a Markov decision process MDP corresponding to the optimization model, and correspondingly defining a statespace, an action space and a reward function of an MDP problem; and solving the MDP problem by adopting an improved Q learning algorithm, and carrying out initialization improvement on the Q value table by utilizing a reward function. According to the invention, low-carbon operation of the park comprehensive energy system can be realized.

The invention discloses a construction method of an energy hub planning model considering renewable energy sources and demand response, which is suitable for being executed in computing equipment andcomprises the following steps: acquiring basic parameters; establishing an energy hub planning model considering renewable energy sources and demand response by utilizing an interval method, wherein the model comprises an objective function and constraint conditions; and substituting the basic parameters into the model, solving the model by adopting an improved non-dominated sorting genetic algorithm by taking the minimum investment and operation cost of an operator and the highest utilization rate of renewable energy sources as objectives, and outputting the capacity configuration data and output data of each device in the energy hub and a pricing scheme of electricity.