106 results about "Energy planning" patented technology

A system for planning energy supply for energy consumers includes a first sub-system operatively associated with an energy coordinating body, such as an energy management system, and second sub-systems operatively associated with corresponding energy suppliers, such as power plants. A global communication network, such as the Internet, is employed between the first and second sub-systems. Each of the sub-systems includes an interface for exchanging energy planning information between the sub-systems and for negotiating an energy supply specification from the energy supplier to the energy consumers.

A method of price forecasting in an electrical energy supply network and / or load (energy demand) forecasting of a given consumer of electrical energy, in the context of an electrical energy supply network that is adapted to supply electrical energy to a number consumers connected to the network. The method includes developing a multi-regime, regime switching stochastic model for determining day ahead / spot market energy prices using at least one historical profile and subjective opinion from at least one expert; and the multiple regimes correspond to a number of combinations of physical factors. A regime is identifiable by at least three factors. The method thus facilitates identifying the optimal mix of energy hedge and exposure to day ahead / spot market prices for deriving economic benefits in overall energy expenditure.

The present invention provides an energy management system which comprises a data acquisition module, an energy real-time monitoring module, an energy planning management module, an energy comprehensive statistics module, an energy efficiency diagnosis and optimization module, a benchmarking evaluation module, an energy cost analysis module, an environmental-friendly discharge monitoring module and a basic data management module. According to the present invention, an automatic and information technology and an integrated management mode are adopted; production information of different workshops, such as energy consumption, output, production processes, product quality and the like, is integrated; integrated flattened comprehensive dynamic monitoring and digital management are adopted for the four links of purchase and storage, processing and conversion, conveying and distribution and consumption and use; energy balance is improved and optimized; and the management and control integrated system which systemically saves energy and reduces consumption is realized.

The invention relates to a planning management control system for construction energy, which comprises a system setting unit, an energy consumption acquisition unit, an energy auditing management unit, a device energy consumption management unit, an area energy consumption management unit, an energy forecast management unit, an energy consumption alarm and demand control unit, an energy evaluation unit, and an energy planning implement unit, wherein the system setting unit is used for setting the information related to an energy consumption object and a manger; the energy consumption acquisition unit is used for acquiring the energy consumption object; the energy auditing management unit is used for auditing the energy consumption object; the device energy consumption management unit is used for monitoring and managing the device in real time; the area energy consumption management unit is used for monitoring and managing area in real time; the energy forecast management unit is used for performing data statistics and analysis on energy consumption; the energy consumption alarm and demand control unit is used for controlling the demand according to load set, load and contract volume information of the unit; the energy evaluation unit is used for optimizing the energy scheduling and balancing the energy consumption; and the energy planning implement unit is used for making a reasonable energy use plan according to the annual energy index and current energy use condition. The planning management control system for construction energy has various energy-saving management manners and can implement the meticulous energy-saving control according to the annual construction energy-saving target.

The present invention discloses a regional comprehensive energy device and a network dual-layer optimization configuration method, belonging to the field of regional comprehensive energy planning. Themethod comprises the following steps that: comprehensive energy is divided into electrical / gas / thermal / cool energy systems according to load demands, coupling relations among different energy systemsare considered to establish a regional comprehensive energy device and a network planning model consisting of an upper layer planning model and a lower layer planning model, the lower layer planningis employed to perform decoupling solution of the electrical / gas / thermal / cool energy systems, maximum power of the device and the line is output, and feedback is performed to the upper layer; and theupper layer planning considers the device and network installation capacity constraint and performs solution, device capacity and line layout variables are output to regulate the lower layer, iteration solution is performed until convergence, and the device and network planning is achieve according to the obtained device capacity and a line layout result. The regional comprehensive energy device and the network dual-layer optimization configuration method have advantages of coupling planning of the electrical / gas / thermal / cool energy systems, reduction of establishing investment of the comprehensive energy area and reduction of system operation loss.

The invention provides a gridding coordinated planning method of composite energy multi-energy complementation. The method comprises following steps of acquiring current situations of the power grid and energy resource utilization condition information; initial dividing grids in a demonstration area, predicting load and composite energy demands, and correcting a grid division scheme of a geographical information system; formulating constraints and net rack planning rules, constructing a composite energy coordinated development basic model, and formulating a target net rack coordinated planningscheme; formulating a target net rack scheme of each level year and each long-range year, and carrying out composite energy coordinated planning operation management service platform construction; and carrying out economical benefit estimation and providing a demonstration region power distribution network composite energy coordinated development operation mode. According to the invention, the park can be quite properly and rationally planned; a composite energy planning optimal scheme can be obtained; by use of the gridding method of the geographical information system, coordinated planningis carried out, and energy interaction and gradient utilization are achieved; the peak adjusting pressure of the power grid is reduced; and the digestion ability for clean energy is improved.

The invention discloses an industrial estate distribution network collaborative planning method in consideration of multi-energy coupling characteristics, comprising the following steps: S1, investigating the user scale and the industrial development general situation of an industrial estate and collecting information; S2,predicting the energy demand of the industrial estate; S3, establishing various types of energy resource output characteristics models; S4, according to the energy characteristics of the industrial estate, constructing a planning plan objective function and establishing an energy resource constraint condition; S5, according to the analysis of comprehensive energy resource coupling characteristics, analyzing and matching various types of resources; and S6, evaluating the economic and social benefits of the comprehensive energy planning program and obtaining a comprehensive energy synergy collaborative final plan. The method first constructs the planning plan objectivefunction based on bi-level planning, scientifically and reasonably carries out comprehensive energy collaborative planning for the industrial estate on this basis, can obtain a good comprehensive energy collaborative planning plan to compensate for the volatility of renewable energy, and realizes energy interaction and gradient utilization in the industrial estate.

The invention discloses a cement production power consumption prediction method with implicit time series deep belief network, which includes: selecting input variables according to the cement process and performing normalization processing to construct the input layer of the model; determining the initial parameters of the model Complete the initial establishment of the HTS-DBN model, and conduct unsupervised forward training on the model to determine the initial weights and biases; use the BP reverse error correction algorithm to perform supervised reverse fine-tuning on the entire neural network. Use the trained HTS‑DBN model for real-time prediction of electricity consumption in cement production. The HTS-DBN cement energy consumption prediction model established by the present invention solves the time-varying delay problem, can accurately predict the power consumption of cement production, and provides a basis for scientific production scheduling and reasonable energy planning of cement production, thereby providing a basis for cement production. Optimizing production and reducing energy consumption provide the conditions.

The invention discloses an energy planning and strategy support system under energy conservation and emission reduction goals. The system comprises an energy demand prediction module, an energy optimization module and a scenario analysis module. The energy demand prediction module predicts terminal energy demands of departments by multiple methods through scientifically setting future social and economic development parameters; the energy optimization module takes a TIMES energy optimization model as a core, inputs data such as energy efficiency, pollutant emission factors, technical costs and the like, and performs system optimization according to a total cost minimization principle; and the scenario analysis module presets a policy goal, drives the energy optimization module to perform cyclic iteration, selects an optimal fuel and technology combination in a policy scenario, and outputs results such as an energy supply structure, an energy consumption structure, a pollutant emission structure and the like. According to the system, an evolution trend of medium-long-term energy consumption and pollutant emission of areas can be scientifically predicted, so that feasible policy goals and realization paths are proposed for energy transformation under the energy conservation and emission reduction goals.

The invention relates to the fields of micro-energy grid and distributed energy planning, provides a micro-energy grid multi-objective planning method considering a power-to-gas technology and renewable energy utilization, and has the guiding significance for micro-energy grid planning comprising a wind generator, photovoltaic, cooling, heating and power combined system, a P2GSS, a storage batteryand the like. The invention discloses the micro-energy grid multi-objective planning method based on the power-to-gas technology and renewable energy utilization; the method comprises the steps that(1) modeling of a micro-energy grid is carried out; (2) the whole life cycle cost of the micro-energy grid is calculated on the basis of a full life cycle method, wherein the minimum total life cyclecost, and the lowest annual carbon dioxide emission amount are taken as an optimization objective, and the influence of the electric refrigeration proportion and the electric heating proportion and other operation modes is considered, and a multi-objective optimization configuration method aiming at the capacity of the key equipment of the micro-energy grid is established; and (3) the multi-objective planning method for the micro-energy grid is provided through comparison of different scenes. The method is mainly applied to the micro-energy grid and distributed energy planning occasions.

The invention relates to an energy management system which comprises an energy meter connected with an energy supplying system and a data acquisition controller connected with the energy meter and further comprises an energy management main station, an energy management sub station and an energy management server, wherein the data acquisition controller is connected with the energy management sub station, the energy management sub station is connected with the energy management main station, and the energy management main station is connected with the energy management server. By acquiring energy consumption data of an onsite device, accurate operation conditions of the device can be obtained, the energy consumption data can be converted into graphical statements in various forms, the obtained energy consumption data are analyzed according to requirements, energy planning management and tracking are conducted, technical guide can be provided for optimal economical operation of the device, and the aims of saving energy and improving energy utilization efficiency can be achieved.

The present invention discloses an integrated and optimal scheduling system of an energy system, which is respectively connected with a management information system and a production process control system. The integrated and optimal scheduling system comprises an operation interface, an information monitoring and scheduling function module, a data analysis function module, an energy optimizing function module, an energy planning function module, an event management function module, a functional model base, a relational database, real-time database, an interface module and a manual input interface; wherein, the information monitoring and scheduling function module, the data analysis function module, the energy optimizing function module, the energy planning function module and the event management function module are respectively connected with the operation module and the functional model base; the relational database is respectively connected with the operation interface, the functional model base, the real-time database and the manual input interface; the relational database is connected with the management information system through the interface module; and the real-time database is connected with the production process control system. The present invention can scientifically and accurately schedule the energy supply, and reduce the energy waste and pollutants.

The invention relates to the technical field of electric system energy planning, in particular to a random production simulation algorithm suitable for intermittent energy access. The random production simulation algorithm suitable for the intermittent energy access comprises the following steps that: establishing the time sequence load model of a system, forming an original load time sequence curve, establishing a conventional energy simulation submodel according to the characteristics and the operation situation of a conventional energy power station, and meanwhile, according to the output situations of a photovoltaic power station and a wind power plant, establishing an equivalent multi-state unit model; adopting the established photovoltaic and wind power equivalent multi-state unit model, correcting an equivalent electric quantity function, and calculating photovoltaic generating capacity and wind power generating capacity; and finally, after all units finish being arranged, calculating system production cost, EENS (Expected Energy Not Supplied) and LOLP (Loss Of Load Probability), and ending a random production operation simulation process which contains intermittent energy.

The method comprises the following steps: firstly, field production energy flow data are input into a relational database through a manual input interface, or a real-time database collects the field production energy flow data transmitted by a production process control system and stores the data into the relational database; secondly, the scheduling personnel operates the information monitoring and scheduling function module, the data analysis function module through an operation interface, or triggers an event management function module through an external event, so as to read and write the relational database, or the scheduling personnel reads and writes the relational database through the operation interface or an management information system, transforms the data format of the read data, transmits the data to the operation interface for displaying or printing or to the management information system; thirdly, the scheduling personnel operates an energy optimizing function module and an energy planning function module to adopt the corresponding optimal scheduling for the production energy system according to the displayed or printed data and advice. The present invention can realize the global optimization of the enterprise energy scheduling.

The invention provides a comprehensive energy planning method considering uncertainty of electricity-heat transfer load transfer quantity, which comprises the following specific steps of: 1, establishing a comprehensive energy system planning model by taking an energy center model as a basis, taking electric energy and natural gas as input and taking electric energy and heat energy supply load requirements as output; 2, considering the influence of the electricity-heat transferable load transfer quantity on the comprehensive energy system planning, and processing the uncertainty of the electricity-heat transferable load transfer quantity by adopting a two-stage robust optimization method; and 3, solving the comprehensive energy system planning model to obtain a planning scheme. According to the method, the carbon emission of the system can be reduced, and the reliability and the multi-energy complementation benefit of the system are improved. On the other hand, the uncertainty of the electric-thermal transferable load transfer amount is processed by adopting a two-stage robust optimization theory, so that the uncertainty can be more accurately considered, and the conservative property of the comprehensive energy system planning scheme is flexibly adjusted.

The invention relates to a processing method and device of cold and hot electric load prediction data of area buildings in comprehensive energy planning. The method comprises the steps that (1) a basic sample data accumulation module, a working procedure design module and a data comprehensive analysis processing module are built; (2) the basic sample data accumulation module is used for collecting and storing geographical location information, the building area, property information, population density information, the industry scale and industry structure information and belonging detailed energy distribution information of the area buildings to form a basic sample database; (3) the working procedure design module is used for performing time series distribution prediction on comprehensive loads on the basic of the basic sample database in the step (1), and corresponding data processing steps and data processing forms are designed; (4) the data comprehensive analysis processing module is used for performing comprehensive analysis and calculation on cold and hot electric load prediction data of the area buildings. The invention correspondingly discloses the processing device of the processing method. The processing method and device can build a good foundation and provide the related basis for different energy use.

The invention discloses an air conditioning load forecasting system based on a radiation time series method. The air conditioning load forecasting system based on the radiation time series method comprises a meteorological parameter providing device, a built-in database, a user input side, and a cold and heat load calculating module, wherein the meteorological parameter providing device, the built-in database and the user input side are all connected with the cold and heat load calculating module through data transmission lines. The air conditioning load forecasting system based on the radiation time series method disclosed by the invention effectively calculates the air conditioning load in a building planning stage in real time to successfully complete the regional energy planning task.

The invention discloses a smart energy demonstration zone planning method considering demand side response. The method comprises the following steps: S1, collection of energy resource utilization conditions in a smart energy zone and energy demand forecasting are carried out; S2, a smart energy zone collaborative planning objective function and constraint conditions are built; S3, according to energy characteristics and power consumption demands of important users, a smart energy zone demand side response service platform is built; S4, according to the user demands and the demand side responseservice requirements, a differentiated energy collaborative planning scheme is made; S5, an initial smart energy planning scheme is evaluated and fed back; and S6, a smart energy zone planning schemeis optimized to obtain a final smart energy zone collaborative optimized energy conservation and environment protection planning scheme. Zone energy complementation and cascade utilization can be realized, peak load of certain users is reduced and a peak valley difference is reduced, the power supply reliability and the smart energy utilization efficiency are improved, and purposes of high-efficiency demonstration zone energy utilization, information coordination and interaction, energy conservation and emission reduction and green environmental protection development can be realized.

The invention discloses a method for establishing a comprehensive energy planning and operation joint optimization model, which comprises the following steps of: unifying park equipment type selectionand operation scheduling optimization, performing joint optimization, and selecting an investment planning scheme with better economy by taking the minimum annual comprehensive cost as a target function. Equipment model selection is carried out in the planning stage, different types of equipment are mutually combined to form different planning schemes, and alternative planning schemes meeting theload standard are screened out by taking meeting the maximum load requirement of the park as a hard condition; in the operation optimization stage, for each alternative planning scheme, optimizationcalculation is carried out according to different equipment capacity configurations; and finally, comprehensively considering the cost expenditure situation in the planning and operation process, andselecting an investment planning scheme with better economy by taking the minimum annual comprehensive cost as a target function. According to the method, comprehensive energy system planning and operation control are associated, so that park operation optimization is more comprehensive and reasonable, and a planning operation scheme with better economic indexes is obtained.

Systems and methods consistent with the present invention allow an energy consumption index to be generated from DR response data and influencer data. The energy consumption index may indicate the energy consumption of a consumer before receiving a DR signal, the change in the consumption after the consumer receives a DR signal, and the consumer's propensity to respond to a DR signal. Systems and methods consistent with the present invention also allow energy providers to monitor, forecast, and plan for changes in consumer demand for energy. Various energy planning tools may facilitate an energy provider's ability to monitor, forecast, and plan for such changes.

The invention discloses an energy-substitution environmental protection potential calculating method, and the method is characterized in that the method comprises the following steps: firstly buildinga terminal total energy consumption prediction model based on a method of structured analysis; carrying out the prediction of the main variables based on historical data and a planning file: economicoutput, industrial structure and energy intensity; measuring the terminal total energy consumption in a planning year through a model, and then measuring the terminal energy consumption of coal, petroleum, electricity and natural gas in the planning year without consideration to the energy substitution, and predicting a renewable energy and natural gas supply consumption upper limit in the planning year through historical data and an energy planning file; predicting a carbon emission upper limit of the planning year through the total carbon emission and the historical data of the unit GNP carbon emission intensity and an energy conservation and emission reduction target; finally calculating the energy-substitution environmental protection potential of the planning year. The method is clear in calculation logic, is high in data collection accuracy, is simple and convenient in calculation process, is high in operability, and can quickly and accurately achieve the measurement of the energy-substitution environmental protection potential.

The invention provides a comprehensive energy integrated system based on standardization. Sensing information is acquired through a sensing layer and is converted into a transmission signal. Each corresponding transmission signal is transmitted through the transmission layer. By arranging a platform layer, especially a platform layer comprising a data middle station, an AI middle station, a service middle station and an Internet of Things management platform, the comprehensive energy integrated system finally achieves the following effects: (1) the comprehensive energy integrated system is ubiquitous in the Internet of Things in both transverse and longitudinal dimensions; (2) urbanization and decentralization of a platform family are achieved; and (3) comprehensive energy planning, specifically, big data, Internet of Things, artificial intelligence, edge computing and other technologies are fully utilized in each link of energy planning, production, transmission, consumption and the like, so that wisdom is embodied in the full life cycle of energy, and users are supported to carry out energy monitoring, production regulation and control, operation and maintenance operation, energyservice, data mining and other applications.

The invention relates to the technical field of energy planning, and more specifically relates to a distributed energy management system based on the Internet. The distributed energy management system comprises a core layer, a connection layer and an application layer; the core layer has an open-type interface capable of connecting to big data and cloud computing platforms of the energy interconnection network; the connection layer is used for compiling corresponding input-output subprograms, and connects the tasks of the core layer and the application layer via an open-type information interface; the application layer automatically invokes data, models and algorithms of the core layer according to the requirements to complete energy planning and management. The system includes 14 pieces of software and a large amount of programs on the basis of databases; each piece of software or subprogram of the software adopts module structures; the pieces of software have unique functions and are mutually organically connected; the system can be used in a top-down integral solution beginning with top-level design, in analysis and calculation of specific links of an project based on the independent function of each piece of software, in design of new projects, and in estimation and reconstruction of constructed projects.

The invention discloses a method for predicting an energy usage demand. The method comprises: a processing device in an energy planning system obtains a first request for representing the need of energy usage demand prediction of an ith year in a planning region; by responding to the first request, the processing device obtains a target output reaching progress of the ith year of the planning region and basic load calculation data for energy usage demand prediction from a database, wherein the target output reaching progress is a proportion of a practical load to a designed load; and the processing device obtains a load energy usage prediction value of the ith year of the planning region based on the target output reaching progress and the basic load calculation data.

The invention discloses an energy planning method and an energy planning system. The energy planning method comprises the steps of obtaining a plurality of enterprises existing in a target area; obtaining historical energy consumption project information of the plurality of enterprises and historical energy consumption information in one-to-one correspondence with the historical energy consumptionproject information; obtaining an energy consumption prediction model according to the historical energy consumption project information of the plurality of enterprises and the historical energy consumption information corresponding to the historical energy consumption project information; optimizing the energy consumption prediction model to obtain an optimized energy consumption prediction model; obtaining energy consumption information according to the new energy consumption project information of the plurality of enterprises and the optimized energy consumption prediction model; and carrying out energy planning according to the energy consumption information. The method has the advantages that the energy consumption condition of the target area can be accurately predicted, and then the condition of excessive energy supply or insufficient energy supply is effectively reduced.

The present invention provides a provincial level low-carbon energy program analysis method. The method comprises the following steps: A) determining the quantity demanded of the whole demand side according to the economic analysis prediction, the energy supply and demand prediction and the electric power demand prediction; B) determining the supply of the whole supply side according to the cleaning energy development layout and the coal power development layout; C) determining whether the electric power supply is balance or not, if the electric power supply is balance, directly outputting the analysis result, and if the electric power supply is not balance, performing the step D); and D) comparing external electric economical efficiency according to the constraint of the energy, determining the external electric incoming optimization strategy, and outputting the analysis result. On the basis of software assistance, the objective of building the model is to form and determine a provincial level energy program planning idea and method based on carbon emission reduction so as to provide the scientific basis for the whole energy planning, improve the integrated social investment benefit and indirectly reduce the discharge of environmental pollutants.

The invention relates to a method of energy big data acquisition key value extraction. The main technical is characterized of determining a business target and data mining target for business comprehension, comprehending the business, sieving high-value data, building an energy big data evaluation model, evaluating and analyzing whole energy conditions of an enterprise via the big data evaluation model, providing rational instructions and decisions and advices for overall energy planning and development of the enterprise according to an evaluation analysis result. The method is rationally designed; on one hand, great utilization value is provided to electric power enterprise profits and control level via classic data collection; on the other hand, guidance can be provided to energy enterprises energy efficiency assessment and energy ways; and enterprise overall operation level can be improved via supports of chain relative ratio and year-on-year data.

The invention discloses a fuel gas distributed comprehensive energy planning and deploying method based on layered multi-energy coupling. The method comprises the following steps: analyzing energy consumption data in a park according to energy consumption characteristics of users in the park, classifying energy data of the users in the park according to energy consumption analysis data, and comparing configuration schemes of different types of energy to obtain an energy configuration scheme; the energy configuration scheme is calculated through an algorithm, calculation results are compared, and the configuration scheme with the better calculation result is selected for optimization design; obtaining interactive information of a user for the configuration scheme, analyzing and processing the interactive information, and optimizing the park distributed energy. According to the invention, the energy consumption data in the park is analyzed. The configuration scheme is calculated and optimized. The configuration scheme is further optimized according to the interaction information of the user. The configuration scheme is optimized in an omnibearing manner. The fineness of the energy deployment scheme is improved. The omission of the optimized scheme and information of related units is avoided.

The invention provides a multi-target new energy source planning method and device. The method is applied to the technical field of the new energy source planning. The method comprises the following steps: collecting output data of a typical wind power plant and a photovoltaic power station; for new energy sources in different grid-connecting ways in the region, constructing a multi-target optimization model in the nearby consumption, minimum system network loss and minimum electricity purchasing cost; and determining the new energy source grid-connecting location and installed capacity according to the output data and the multi-target optimization model. The multi-target new energy source planning method and device provided by the invention can effectively improve the generation utilization efficiency of the new energy plant station in the region, and the wind-abandoning and light-abandoning risk is reduced.

The invention provides an energy landscape spatial planning method, belonging to the spatial planning technology field. The energy landscape spatial planning method can determine a biomass energy development guidance strategy of Hei Longjing province through production potential analysis, constructs a spatial planning improvement strategy on the basis of a cross study of energy planning and spatial planning through energy supply and demand analysis and spatial and temporal variation prediction and can effectively reduce consumption of non-renewable energy. The energy landscape spatial planningmethod is applicable to the energy landscape spatial planning field of the big, medium and small cities.