CN114784790A - Full-load adjusting method and system for distributed energy station - Google Patents
Full-load adjusting method and system for distributed energy station Download PDFInfo
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- CN114784790A CN114784790A CN202210239453.4A CN202210239453A CN114784790A CN 114784790 A CN114784790 A CN 114784790A CN 202210239453 A CN202210239453 A CN 202210239453A CN 114784790 A CN114784790 A CN 114784790A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention discloses a full load adjusting method and a system for a distributed energy station, which comprises the following steps: establishing an equipment model and a system economic model of the distributed energy system; acquiring historical operating data of the distributed energy system according to the user energy characteristics, and constructing a load prediction basic model; correcting a load prediction base model through weather parameters and a user self-declared production plan; dividing the load of the distributed energy system into three load division areas according to the configuration condition of an internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine, and setting different operation optimization strategies in the three load division areas respectively; according to the current load prediction result of the load prediction basic model, determining the load division areas where the user loads are located, executing an operation optimization strategy corresponding to the load division areas by taking the optimal economy as an optimization target, realizing the stable adjustment of the distributed energy system in the load range of 0-120%, and improving the stability and the operation economy of the distributed energy system.
Description
Technical Field
The invention relates to the technical field of distributed energy, in particular to a full-load adjusting method and system for a distributed energy station.
Background
The distributed energy system is a beneficial supplement of a centralized energy supply system, adopts large-capacity equipment and centralized production relative to the centralized energy supply, and then is delivered to users in an area; the distributed energy system is directly oriented to users, produces and supplies energy on site according to the requirements of the users, reduces the loss of an energy conveying process and the construction cost of a pipe network, and has the characteristics of flexible operation, quick start, low emission, high energy utilization rate and the like.
However, due to frequent fluctuation of the load, the operation control method of the distributed energy station is relatively single, the regulation capability of the supply and demand change is relatively extensive, and the distributed energy station in China has the problems of poor operation economy, low comprehensive utilization level and the like.
The existing distributed energy station mainly has the following two typical problems:
(1) the load regulation capacity of a distributed energy station based on an internal combustion engine is insufficient, the existing energy station generally adopts a continuous running mode of the internal combustion engine with more than 50% of load when running at low load, the load regulation range is small, and the problems of low comprehensive utilization rate of energy, poor economy and the like are caused due to unmatched supply and demand;
(2) the existing distributed energy system has a relatively single multi-energy complementary form, peak loads are generally met by a peak boiler or an electric refrigerating unit, and the integration of the multi-energy complementary system is relatively single, so that the system load adjusting capacity is poor, and the overall economy is poor.
Disclosure of Invention
The technical problem to be solved by the present invention is to overcome the defects in the prior art, and thus provide a full load adjustment method and system for a distributed energy station.
In order to achieve the purpose, the invention adopts the following technical scheme:
a full load regulation method of a distributed energy system comprises the following steps:
establishing an equipment model and a system economy model of the distributed energy system, wherein the equipment model comprises an internal combustion engine module, an energy production module and an energy storage module;
acquiring historical operating data of the distributed energy system according to the user energy characteristics, and constructing a load prediction basic model;
correcting the load prediction base model through a load correction factor K1 and a load correction factor K2, wherein the load correction factor K1 is a weather parameter, and the load correction factor K2 is a production plan autonomously declared by a user;
according to the configuration condition of an internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine, dividing the load of the distributed energy system into three load division areas which are respectively a low-load area: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) 100% -100% and peak load interval: 100% -120%, wherein n is the number of internal combustion engines in the internal combustion engine module; different operation optimization strategies are respectively set among the three load division zones;
determining load partition areas where the user loads are located according to the current load prediction result of the load prediction basic model;
and according to the load division area where the user load is located, controlling an internal combustion engine module, an energy production module and an energy storage module of the distributed energy system, and executing an operation optimization strategy corresponding to the load division area by taking the optimal economy as an optimization target.
Preferably, the step of setting different operation optimization strategies among the three load division zones respectively comprises the following steps:
when the user load is in a low-load interval, stopping the operation of an internal combustion engine module in the distributed energy system, establishing an operation scheme of the energy production module and the energy storage module based on an equipment model and a system economic model and aiming at the optimal economy meeting the load requirement, and controlling the energy production module and the energy storage module to operate according to the operation scheme;
when the user load is in a medium load interval, controlling the internal combustion engine of the internal combustion engine module to run with load of more than 50%, and meanwhile, comparing the fuel consumption, the power generation benefit, the cooling and heating benefit and the comprehensive functional benefit of the energy production module and the energy storage module of the internal combustion engine based on an equipment model and a system economic model under the current load working condition, so as to make an operation scheme of the internal combustion engine module, the energy production module and the energy storage module in the distributed energy system and control the internal combustion engine module, the energy production module and the energy storage module to run according to the operation scheme with the aim of optimal economic performance meeting the load requirement as a target;
when the user load is in a peak load interval, the internal combustion engine of the internal combustion engine module is controlled to operate at 100% of full load, and meanwhile, the energy production module and/or the energy storage module are controlled to supplement and operate insufficient parts, so that the user load requirement is met.
Preferably, the user load comprises one or more of a demand for heat energy, a demand for cold energy, and a demand for electric energy, and the energy production module produces one or more of heat energy, cold energy, and electric energy; the energy storage module stores one or more of thermal energy, cold energy and electric energy.
Preferably, the energy production module comprises a new energy unit, a heating unit and a refrigerating unit, the new energy unit outputs heat energy and/or electric energy based on the current operation scheme, the heating unit outputs heat energy based on the current operation scheme, and the refrigerating unit outputs cold energy based on the current operation scheme;
the energy storage module comprises an electricity storage unit, a heat storage unit and a cold storage unit, wherein the electricity storage unit stores or outputs electric energy based on the current operation scheme, the heat storage unit stores or outputs heat energy based on the current operation scheme, and the cold storage unit stores or outputs cold energy based on the current operation scheme.
Preferably, the method for obtaining historical operating data of the distributed energy system according to the user energy characteristics comprises the following steps:
the Monte Carlo simulation method is adopted to predict the user load and construct a load prediction basic model, and the specific method is as follows,
1) establishing a parameter database containing multi-dimensional influence factors of weather conditions, building types, industrial products and production plans;
2) establishing a mathematical model describing user load and a plurality of influence factors, processing and analyzing uncertain parameters in the model, and determining distribution and corresponding characteristic values of the uncertain parameters;
3) generating a plurality of random numbers according to a given probability distribution;
4) substituting random numbers as parameters of random variables into the mathematical model to obtain a user load value and obtain the probability distribution and the statistical characteristics of the target variables, thereby predicting the peak characteristics and the probability distribution of the user load under the influence of multiple factors.
Preferably, the step of modifying the load prediction base model by the load modifying factor K1 and the load modifying factor K2 comprises the steps of:
1) obtaining a load correction factor K1 according to the actual weather condition and the weather forecast parameters, and obtaining a load correction factor K2 according to the autonomous declaration production plan of the user;
2) modifying the influence factors of the load prediction basic model by using the load modification factors K1 and K2, and amplifying or reducing the weather condition parameters and the production plan parameters in the characteristic parameters;
3) and obtaining the corrected user load peak characteristics and the probability distribution thereof.
Preferably, the step of outputting heat energy and/or electric energy by the new energy unit based on the current operation scheme comprises the steps of:
the new energy unit comprises a photovoltaic device, a photo-thermal device and a wind power device;
when the user load is in a peak load interval, controlling the internal combustion engine of the internal combustion engine module to run at 100% of full load, and preferentially using the electricity storage unit, the heat storage unit and the cold storage unit in the energy storage module to adjust, wherein the insufficient part is supplemented by the new energy unit, the heating unit and the refrigerating unit in the energy production module; if the new energy unit cannot work, the outsourcing power meets the electric energy requirement in the user load, and the heating unit and the refrigerating unit are driven by the outsourcing power to meet the heat energy requirement and the cold energy requirement in the user load.
In order to achieve the purpose, the invention also adopts the following technical scheme:
a distributed energy system full load regulation system, comprising:
the distributed energy system comprises an internal combustion engine module, an energy production module and an energy storage module;
the user load module is connected with the distributed energy system;
the system modeling module is used for establishing an equipment model and a system economic model of the distributed energy system,
the load prediction module is used for acquiring historical operating data of the distributed energy system according to the user energy characteristics and constructing a load prediction basic model;
the correction module is used for correcting the load prediction base model through a load correction factor K1 and a load correction factor K2, wherein the load correction factor K1 is a weather parameter, and the load correction factor K2 is a production plan autonomously declared by a user;
the load dividing module is used for dividing the load of the distributed energy system into three load dividing areas which are low-load areas according to the configuration condition of an internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) 100% -100% and peak load interval: 100% -120%, wherein n is the number of internal combustion engines in the internal combustion engine module; different operation optimization strategies are respectively set among the three load division zones;
and the full load optimization module is respectively connected with the distributed energy system and the user load module and used for determining the load division areas where the user loads are located according to the current load prediction result of the load prediction basic model, simultaneously controlling the internal combustion engine module, the energy production module and the energy storage module of the distributed energy system and executing an operation optimization strategy corresponding to the load division areas by taking the optimal economy as an optimization target.
Preferably, the user load comprises one or more of a thermal energy demand, a cold energy demand, and an electrical energy demand, and the energy production module is configured to produce one or more of thermal energy, cold energy, and electrical energy; the energy storage module is used for storing one or more of heat energy, cold energy and electric energy.
Preferably, the energy production module comprises a new energy unit, a heating unit and a refrigerating unit, the energy storage module comprises an electricity storage unit, a heat storage unit and a cold storage unit, the refrigerating unit is connected with the cold storage unit, the heating unit is connected with the heat storage unit, and the new energy unit is connected with one or more of the electricity storage unit, the heat storage unit and the cold storage unit;
the new energy unit is used for outputting heat energy and/or electric energy based on the current operation scheme, the heating unit is used for outputting heat energy based on the current operation scheme, and the refrigerating unit is used for outputting cold energy based on the current operation scheme;
the electricity storage unit is used for storing or outputting electric energy based on a current operation scheme, the heat storage unit is used for storing or outputting heat energy based on the current operation scheme, and the cold storage unit is used for storing or outputting cold energy based on the current operation scheme. .
Compared with the prior art, the invention has the beneficial effects that:
according to the full-load adjusting method and system for the distributed energy system, the load of the distributed energy system is divided into a low-load interval, a medium-load interval and a peak-load interval, corresponding different operation optimization strategies are formulated respectively, then the current user load is judged to fall into a certain load interval according to the prediction of the user load, so that the internal combustion engine module, the energy production module and the energy storage module are controlled to take the optimal economy as an optimization target, the operation optimization strategies corresponding to the load division intervals are executed, the user load requirement is met, the distributed energy system is stably adjusted within the load range of 0-120%, and the stability and the operation economy of the distributed energy system are improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of a full load regulation system of a distributed energy system according to an embodiment of the present invention.
Fig. 2 is a block flow diagram of a full load adjustment method of a distributed energy system according to an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The technical scheme of the invention is further explained in detail by combining the attached drawings:
the invention provides a full load regulation method of a distributed energy system, which comprises the following steps of (1) establishing an equipment model and a system economic model of the distributed energy system, wherein the equipment model comprises an internal combustion engine module, an energy production module and an energy storage module; the system economic model refers to the lowest cost for meeting the load demand, and the lowest cost comprises gas cost, electricity purchasing cost and the like. Of course, when the distributed energy system also includes other devices, the system modeling is a model that needs to include the other devices.
Step 2, acquiring historical operating data of the distributed energy system according to the user energy characteristics, and constructing a load prediction basic model; correcting the load prediction base model through weather parameters (load correction factors K1) and a user self-declared production plan (load correction factors K2);
step 3, dividing the load of the distributed energy system into three load division areas according to the configuration condition of the internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine, wherein the three load division areas are low-load areas: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) × 100% -100% and peak load interval: 100% -120%, wherein n is the number of internal combustion engines in the internal combustion engine module; different operation optimization strategies are respectively set among the three load division zones.
In the prior art, the operation load of the internal combustion engine module can be stably operated only when the load is more than 50%, the load adjustment range of the internal combustion engine operated by a single unit is 50% -100%, the load adjustment range of the internal combustion engine operated by a double unit is 25% -100%, the larger the number of the internal combustion engines is, the larger the load adjustment range of the distributed energy system is, and therefore, the low-load interval and the medium-load interval are divided into 1/(2n) 100%.
And 4, determining the load partition area where the user load is located according to the current load prediction result of the load prediction basic model, controlling an internal combustion engine module, an energy production module and an energy storage module of the distributed energy system according to the load partition area where the user load is located, and executing an operation optimization strategy corresponding to the load partition area by taking the optimal economy as an optimization target.
The load of the distributed energy system is divided into a low-load interval, a medium-load interval and a peak-load interval in advance, an operation optimization strategy is formulated in advance for each load division interval, then the operation scheme of the distributed energy system can be adjusted in advance based on the prediction of the user load, the stable adjustment of the distributed energy system in a load range of 0-120% is realized, and the stability and the operation economy of the distributed energy system are improved.
Preferably, different operation optimization strategies are set among the three load division zones respectively as follows:
when the user load is in a low-load interval, stopping the operation of an internal combustion engine module in the distributed energy system, establishing an operation scheme of an energy production module and an energy storage module based on an equipment model and a system economic model and aiming at the optimal economy meeting the load requirement, and controlling the energy production module and the energy storage module to operate according to the operation scheme;
the low cold and hot load in spring and autumn is taken as an example to explain that: when the low load operation is carried out, the internal combustion engine stops operating, and the system has no gas consumption; the heating and heat storage tank of the electric boiler is used for meeting the regional heat load supply; an electric refrigerator is used for refrigeration, and a cold accumulation tank is used for meeting regional cold load supply; comprehensive energy supply is carried out by taking the lowest cost of new energy power, electricity energy storage and outsourcing power as a target.
When the user load is in a medium load interval, the internal combustion engine of the internal combustion engine module is controlled to run with load more than 50%, meanwhile, based on the equipment model and the system economic model, the fuel consumption, the power generation income, the cooling and heating income of the internal combustion engine and the comprehensive functional benefits of the energy production module and the energy storage module under the current load working condition are compared, the economic optimum meeting the load requirement is taken as a target, the running scheme of the internal combustion engine module, the energy production module and the energy storage module in the distributed energy system is formulated, and the internal combustion engine module, the energy production module and the energy storage module are controlled to run according to the running scheme.
Taking the summer high cooling load as an example: under the working condition, the internal combustion engine runs at a load of more than 50 percent, the frozen water is generated by using the lithium bromide in the flue gas, the electric refrigerator is used for refrigerating, and the cold accumulation tank meets the regional cold load supply; the waste heat of the internal combustion engine, the heating of the electric boiler and the heat storage tank meet the regional heat load supply; the comprehensive energy supply is carried out by taking the lowest cost of gas cost, new energy electric power, electric energy storage and outsourcing electric power as a target.
When the user load is in the peak load interval, the internal combustion engine of the internal combustion engine module is controlled to operate at 100% of full load, and meanwhile, the energy production module and the energy storage module are controlled to supplement the insufficient part to operate, so that the user load requirement is met.
The peak cooling load in summer is taken as an example for explanation: under the working condition, the internal combustion engine runs at 100% load, the residual insufficient load is refrigerated by using the electric refrigerator, and the cold accumulation tank meets the peak cold load supply of the region; an electric boiler heating and heat storage tank is used for meeting the peak heat load supply of a region; comprehensive energy supply is carried out by taking the lowest cost of new energy power, electricity energy storage and outsourcing power as a target.
The user load in the embodiment of the invention comprises one or more of heat energy demand, cold energy demand and electric energy demand, and the energy production module produces one or more of heat energy, cold energy and electric energy; the energy storage module stores one or more of heat energy, cold energy and electric energy. Taking the user load comprising the heat energy demand, the cold energy demand and the electric energy demand as an example, the energy production module can produce heat energy, cold energy and electric energy, and the energy storage module can store and output the heat energy, the cold energy and the electric energy to the user side. The energy production module is connected with the energy storage module and the user side, when the load of the user side is low, the energy production module can convey heat energy, cold energy and electric energy to the energy storage module for storage, and when the load of the user side is high, the energy production module and the energy storage module can convey the heat energy, the cold energy and the electric energy to the user side simultaneously.
Preferably, the energy production module comprises a new energy unit, a heating unit and a refrigerating unit, the new energy unit outputs heat energy and/or electric energy based on the current operation scheme, the heating unit outputs heat energy based on the current operation scheme, and the refrigerating unit outputs cold energy based on the current operation scheme. The new energy unit includes new energy supply devices such as photovoltaic device, light and heat device, wind power plant, and the unit of heating can include the device that heats through electricity or high temperature flue gas such as the module, the heat exchanger group of heating of electric boiler, flue gas hot water lithium bromide unit, and the refrigerating unit can include the device through electricity or high temperature flue gas refrigeration such as the refrigerating module of electric refrigerator, flue gas hot water lithium bromide unit. The internal combustion engine module is mainly used for burning fuel to generate electric energy and high-temperature flue gas.
The energy storage module comprises an electricity storage unit, a heat storage unit and a cold storage unit, the electricity storage unit is a storage battery pack, the heat storage unit is a heat storage tank, the cold storage unit is a cold storage tank, the electricity storage unit stores or outputs electric energy based on the current operation scheme, the heat storage unit stores or outputs heat energy based on the current operation scheme, and the cold storage unit stores or outputs cold energy based on the current operation scheme.
Preferably, in an embodiment of the present invention, the step of outputting heat energy and/or electric energy by the new energy unit based on the current operation scheme includes the following steps:
the new energy unit comprises a photovoltaic device, a photo-thermal device and a wind power device; the energy supply of the new energy unit has intermittence and fluctuation, so that the embodiment of the invention can stabilize the fluctuation problem of the new energy unit by matching the energy storage unit and the new energy unit.
Specifically, when the user load is in a peak load interval, the internal combustion engine of the internal combustion engine module is controlled to operate at 100% of full load, and meanwhile, the electricity storage unit, the heat storage unit and the cold storage unit in the energy storage module are preferentially used for adjustment, and the deficiency parts are supplemented by the new energy unit, the heating unit and the refrigerating unit in the energy production module; if the new energy unit cannot work, the outsourcing power meets the electric energy requirement in the user load, and the heating unit and the refrigerating unit are driven by the outsourcing power to meet the heat energy requirement and the cold energy requirement in the user load.
According to the characteristics of user energy, historical operating data of a distributed energy system are obtained, a method for constructing a load prediction basic model can be the prior art, the user load can be predicted by adopting the existing load prediction algorithm, the Monte Carlo simulation method is adopted to predict the user load to construct the load prediction basic model, and the specific method comprises the following steps:
1) establishing a parameter database containing multi-dimensional influence factors of weather conditions, building types, industrial products and production plans; the building type comprises the determined parameters of the function positioning, the volume ratio, the total building area, the building height and the like of the building, and the internal space layout of the building is simplified in the planning stage to take the same type of building as a whole; industrial products are electrical appliances or equipment that generate cooling, heating and power loads.
2) Establishing a mathematical model describing the user load and a plurality of influence factors, processing and analyzing uncertain parameters in the model, and determining the distribution and corresponding characteristic values of the uncertain parameters; input parameters of the mathematical model comprise deterministic parameters and random variables, wherein the deterministic parameters mainly comprise parameters such as building area, height limit, floor height, bottom edge length, outdoor air temperature and enthalpy value all year round, hot water temperature and the like in a distributed energy system region; the random variable is the weather condition, including outdoor temperature, sunny, rain, snow, etc., and the probability distribution of the random variable is calculated according to experience and historical data.
3) Generating a plurality of random numbers according to a given probability distribution;
4) substituting random numbers as parameters of random variables into a mathematical model to obtain a user load value, and then obtaining probability distribution and statistical characteristics of a target variable through a large amount of simulation calculation, thereby predicting the peak value characteristics and the probability distribution of the user load under the influence of multiple factors.
The influence of the weather parameters (load correction factor K1) and the user self-declared production plan (load correction factor K2) on the user load is large, so the embodiment of the invention further comprises the following steps:
1) acquiring a load correction factor K1 according to the actual weather condition and the weather forecast parameters, and acquiring a load correction factor K2 according to the autonomous declaration of a production plan by a user;
2) modifying the influence factors of the load prediction basic model by using the load modification factors K1 and K2, and amplifying or reducing the weather condition parameters and the production plan parameters in the characteristic parameters;
3) obtaining the corrected user load peak characteristics and the probability distribution thereof,
as shown in fig. 1, an embodiment of the present invention further provides a full load regulation system of a distributed energy system, including
The distributed energy system 10 comprises an internal combustion engine module 11, an energy production module 12 and an energy storage module 13, wherein the internal combustion engine module 11 is used for producing electric energy and high-temperature flue gas, the energy production module 12 can be used for producing partial electric energy, heat energy and cold energy, and when the productivity of the energy production module 12 is sufficient and the user load is low, the energy storage module 13 can be used for storing the electric energy, the heat energy and the cold energy;
the user load module 20 is connected with the distributed energy system 10 and issues load requirements to the distributed energy system 10;
a system modeling module 31 for establishing a plant model and a system economic model of the distributed energy system 10,
the load prediction module 32 is configured to obtain historical operating data of the energy load of the distributed energy system 10 according to the user energy characteristics, and construct a load prediction base model;
the correcting module 33 is used for correcting the load prediction base model through a weather parameter (a load correcting factor K1) and a user self-declared production plan (a load correcting factor K2), wherein the weather parameter is the current weather condition;
the load dividing module 34 is configured to divide the load of the distributed energy system 10 into three load dividing regions, which are low load regions, according to the configuration of the internal combustion engine module 11 in the distributed energy system 10 and the stable operation characteristic of the internal combustion engine: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) 100% -100% and peak load interval: 100% -120%, where n is the number of internal combustion engines in the internal combustion engine module 11, in the prior art, the operating load of the internal combustion engine module needs to be more than 50% of load to stably operate, and the load adjustment range of the internal combustion engine operated by a single unit is 50% -100%, and the load adjustment range of the internal combustion engine operated by two units is 25% -100%, and the greater the number of internal combustion engines, the greater the load adjustment range of the distributed energy system 10, so that the low-load interval and the medium-load interval are divided into 1/(2n) 100% in the embodiment of the present invention; different operation optimization strategies are respectively set among the three load division zones;
and the full-load optimization module 30 is respectively connected with the distributed energy system 10 and the user load module 20, and is configured to determine a load division area where the user load is located according to a current load prediction result of the load prediction basic model, control the internal combustion engine module 11, the energy production module 12 and the energy storage module 13 of the distributed energy system 10, and execute an operation optimization strategy corresponding to the load division area with optimal economy as an optimization target.
Preferably, the user load comprises one or more of a thermal energy demand, a cold energy demand, and an electrical energy demand, and the energy production module 12 is configured to produce one or more of thermal energy, cold energy, and electrical energy; the energy storage module 13 is used for storing one or more of heat energy, cold energy and electric energy. Taking the user load including the heat energy demand, the cold energy demand and the electric energy demand as an example, the energy generation module 12 may generate heat energy, cold energy and electric energy, and the energy storage module 13 may store and output the heat energy, the cold energy and the electric energy to the user side. The energy production module 12 is connected with the energy storage module 13 and the user side, and when the load of the user side is low, the energy production module can transmit heat energy, cold energy and electric energy to the energy storage module for storage, and when the load of the user side is high, the energy production module and the energy storage module can simultaneously transmit heat energy, cold energy and electric energy to the user side.
Preferably, the energy production module 12 includes a new energy unit, a heating unit and a refrigerating unit, the energy storage module 13 includes an electricity storage unit, a heat storage unit and a cold storage unit, the refrigerating unit is connected with the cold storage unit, the heating unit is connected with the heat storage unit, and the new energy unit is connected with one or more of the electricity storage unit, the heat storage unit and the cold storage unit;
the system comprises a new energy unit, a heating unit and a refrigerating unit, wherein the new energy unit is used for outputting heat energy and/or electric energy based on a current operation scheme;
the electricity storage unit is used for storing or outputting electric energy based on the current operation scheme, the heat storage unit is used for storing or outputting heat energy based on the current operation scheme, and the cold storage unit is used for storing or outputting cold energy based on the current operation scheme.
The new energy unit includes new energy supply devices such as photovoltaic device, light and heat device, wind power plant, and the unit of heating can include the device that heats through electricity or high temperature flue gas such as the module, the heat exchanger group of heating of electric boiler, flue gas hot water lithium bromide unit, and the refrigerating unit can include the device through electricity or high temperature flue gas refrigeration such as the refrigerating module of electric refrigerator, flue gas hot water lithium bromide unit. The internal combustion engine module is mainly used for burning fuel to generate electric energy and high-temperature flue gas. The electricity storage unit is a storage battery pack, the heat storage unit is a heat storage tank, and the cold storage unit is a cold storage tank.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. A full load regulation method of a distributed energy system is characterized by comprising the following steps:
establishing an equipment model and a system economic model of the distributed energy system, wherein the equipment model comprises an internal combustion engine module, an energy production module and an energy storage module;
acquiring historical operating data of the distributed energy system according to the user energy characteristics, and constructing a load prediction basic model;
correcting the load prediction base model through a load correction factor K1 and a load correction factor K2, wherein the load correction factor K1 is a weather parameter, and the load correction factor K2 is a production plan autonomously declared by a user;
according to the configuration condition of an internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine, dividing the load of the distributed energy system into three load division areas which are respectively a low-load area: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) 100% -100% and peak load interval: 100% -120%, wherein n is the number of internal combustion engines in the internal combustion engine module; different operation optimization strategies are respectively set among the three load division zones;
determining load partition areas where the user loads are located according to the current load prediction result of the load prediction basic model;
and controlling an internal combustion engine module, an energy production module and an energy storage module of the distributed energy system according to the load division areas where the user loads are located, and executing an operation optimization strategy corresponding to the load division areas by taking optimal economy as an optimization target.
2. The full load adjustment method of the distributed energy system according to claim 1, wherein the setting of different operation optimization strategies in each of the three load division areas comprises the following steps:
when the user load is in a low-load interval, stopping the operation of an internal combustion engine module in the distributed energy system, establishing an operation scheme of the energy production module and the energy storage module based on an equipment model and a system economic model and aiming at the optimal economy meeting the load requirement, and controlling the energy production module and the energy storage module to operate according to the operation scheme;
when the user load is in a medium load interval, controlling the internal combustion engine of the internal combustion engine module to run with load more than 50%, and meanwhile, comparing the fuel consumption, the power generation benefit, the cooling and heating benefit and the comprehensive functional benefit of the energy production module and the energy storage module of the internal combustion engine under the current load working condition based on an equipment model and a system economic model, aiming at meeting the economic optimization of load requirements, making the running scheme of the internal combustion engine module, the energy production module and the energy storage module in the distributed energy system and controlling the internal combustion engine module, the energy production module and the energy storage module to run according to the running scheme;
when the user load is in a peak load interval, the internal combustion engine of the internal combustion engine module is controlled to operate at 100% of full load, and meanwhile, the energy production module and/or the energy storage module are controlled to supplement and operate insufficient parts, so that the user load requirement is met.
3. The distributed energy system full load adjustment method according to claim 1 or 2, wherein the user load comprises one or more of a thermal energy demand, a cold energy demand, and an electric energy demand, and the energy production module produces one or more of thermal energy, cold energy, and electric energy; the energy storage module stores one or more of heat energy, cold energy and electric energy.
4. The full load adjustment method of the distributed energy system according to claim 3, wherein the energy production module comprises a new energy unit, a heating unit and a cooling unit, the new energy unit outputs heat energy and/or electric energy based on the current operation scheme, the heating unit outputs heat energy based on the current operation scheme, and the cooling unit outputs cooling energy based on the current operation scheme;
the energy storage module comprises an electricity storage unit, a heat storage unit and a cold storage unit, wherein the electricity storage unit stores or outputs electric energy based on the current operation scheme, the heat storage unit stores or outputs heat energy based on the current operation scheme, and the cold storage unit stores or outputs cold energy based on the current operation scheme.
5. The full-load adjustment method of the distributed energy system according to claim 1, wherein historical operating data of the distributed energy system is obtained according to the user energy characteristics, and the step of constructing the load prediction basic model comprises the following steps:
the Monte Carlo simulation method is adopted to predict the user load and construct a load prediction basic model, and the specific method is as follows,
1) establishing a parameter database containing multi-dimensional influence factors of weather conditions, building types, industrial products and production plans;
2) establishing a mathematical model describing the user load and a plurality of influence factors, processing and analyzing uncertain parameters in the model, and determining the distribution and corresponding characteristic values of the uncertain parameters;
3) generating a plurality of random numbers according to a given probability distribution;
4) and substituting the random number serving as a parameter of a random variable into the mathematical model to obtain a user load value, and obtaining the probability distribution and the statistical characteristic of the target variable, thereby predicting the peak characteristic and the probability distribution of the user load under the influence of multiple factors.
6. The distributed energy system full load adjustment method according to claim 5, wherein the step of modifying the load prediction basis model by the load modification factor K1 and the load modification factor K2 comprises the steps of:
1) acquiring a load correction factor K1 according to the actual weather condition and the weather forecast parameters, and acquiring a load correction factor K2 according to the autonomous declaration of a production plan by a user;
2) modifying the influence factors of the load prediction basic model by using the load modification factors K1 and K2, and amplifying or reducing the weather condition parameters and the production plan parameters in the characteristic parameters;
3) and obtaining the corrected user load peak characteristics and the probability distribution thereof.
7. The distributed energy system full load regulation method according to claim 4, wherein the step of outputting the thermal and/or electrical energy by the new energy unit based on the current operation scheme comprises the steps of:
the new energy unit comprises a photovoltaic device, a photo-thermal device and a wind power device;
when the user load is in a peak load interval, controlling the internal combustion engine of the internal combustion engine module to run at 100% of full load, and preferentially using the electricity storage unit, the heat storage unit and the cold storage unit in the energy storage module to adjust, wherein the deficiency part is supplemented by the new energy unit, the heating unit and the refrigerating unit in the energy production module; if the new energy unit cannot work, the outsourcing power meets the electric energy requirement in the user load, and the heating unit and the refrigerating unit are driven by the outsourcing power to meet the heat energy requirement and the cold energy requirement in the user load.
8. A full load regulation system of a distributed energy system is characterized by comprising
The distributed energy system comprises an internal combustion engine module, an energy production module and an energy storage module;
the user load module is connected with the distributed energy system;
the system modeling module is used for establishing an equipment model and a system economic model of the distributed energy system,
the load prediction module is used for acquiring historical operating data of the distributed energy system according to the user energy characteristics and constructing a load prediction basic model;
the correction module is used for correcting the load prediction base model through a load correction factor K1 and a load correction factor K2, wherein the load correction factor K1 is a weather parameter, and the load correction factor K2 is a production plan autonomously declared by a user;
the load dividing module is used for dividing the load of the distributed energy system into three load dividing areas which are low-load areas according to the configuration condition of an internal combustion engine module in the distributed energy system and the stable operation characteristic of the internal combustion engine: 0% -1/(2 n) × 100%, medium load interval: 1/(2n) 100% -100% and peak load interval: 100% -120%, wherein n is the number of internal combustion engines in the internal combustion engine module; different operation optimization strategies are respectively set among the three load division zones;
and the full load optimization module is respectively connected with the distributed energy system and the user load module, and is used for determining the load division areas where the user loads are located according to the current load prediction result of the load prediction basic model, simultaneously controlling the internal combustion engine module, the energy production module and the energy storage module of the distributed energy system, and executing an operation optimization strategy corresponding to the load division areas by taking the optimal economy as an optimization target.
9. The distributed energy system full load conditioning system of claim 8, wherein the user load comprises one or more of a thermal energy demand, a cold energy demand, and an electrical energy demand, and the energy production module is configured to produce one or more of thermal energy, cold energy, and electrical energy; the energy storage module is used for storing one or more of heat energy, cold energy and electric energy.
10. The distributed energy system full load regulation system of claim 9,
the energy production module comprises a new energy unit, a heating unit and a refrigerating unit, the energy storage module comprises an electricity storage unit, a heat storage unit and a cold storage unit, the refrigerating unit is connected with the cold storage unit, the heating unit is connected with the heat storage unit, and the new energy unit is connected with one or more of the electricity storage unit, the heat storage unit and the cold storage unit;
the new energy unit is used for outputting heat energy and/or electric energy based on a current operation scheme, the heating unit is used for outputting heat energy based on the current operation scheme, and the refrigerating unit is used for outputting cold energy based on the current operation scheme;
the electric energy storage unit is used for storing or outputting electric energy based on a current operation scheme, the heat storage unit is used for storing or outputting heat energy based on the current operation scheme, and the cold storage unit is used for storing or outputting cold energy based on the current operation scheme.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116131360A (en) * | 2023-01-31 | 2023-05-16 | 成都安美科能源管理有限公司 | Hybrid energy control method and control device |
| CN117318049A (en) * | 2023-11-27 | 2023-12-29 | 国网山东省电力公司枣庄供电公司 | Power distribution network flexible load modeling method and system based on coefficient correction |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116131360A (en) * | 2023-01-31 | 2023-05-16 | 成都安美科能源管理有限公司 | Hybrid energy control method and control device |
| CN117318049A (en) * | 2023-11-27 | 2023-12-29 | 国网山东省电力公司枣庄供电公司 | Power distribution network flexible load modeling method and system based on coefficient correction |
| CN117318049B (en) * | 2023-11-27 | 2024-02-13 | 国网山东省电力公司枣庄供电公司 | Power distribution network flexible load modeling method and system based on coefficient correction |
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