CN112330103A - Method and system for configuring capacity of rural micro-energy system - Google Patents

Method and system for configuring capacity of rural micro-energy system Download PDF

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CN112330103A
CN112330103A CN202011126313.3A CN202011126313A CN112330103A CN 112330103 A CN112330103 A CN 112330103A CN 202011126313 A CN202011126313 A CN 202011126313A CN 112330103 A CN112330103 A CN 112330103A
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李民
刘卫东
刘勇超
赵冠
孟浩
王瑞琪
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State Grid Shandong Integrated Energy Service Co ltd
State Grid Shandong Electric Power Co Ltd
Linyi Power Supply Co of State Grid Shandong Electric Power Co Ltd
Marketing Service Center of State Grid Shandong Electric Power Co Ltd
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State Grid Shandong Integrated Energy Service Co ltd
State Grid Shandong Electric Power Co Ltd
Linyi Power Supply Co of State Grid Shandong Electric Power Co Ltd
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Abstract

The disclosure provides a method and a system for configuring the capacity of a rural micro energy system, comprising the following steps: energy demand prediction: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years; forecasting annual load demand: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round; determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment; calculating the capacity of various energy supply facilities: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction. Can promote the utilization rate of clean energy and the overall utilization efficiency of energy. Clean energy such as local water energy, wind energy, solar energy, biomass energy, geothermal energy and the like is fully excavated, and the ratio of the clean energy in a comprehensive energy system is improved.

Description

Method and system for configuring capacity of rural micro-energy system
Technical Field
The disclosure belongs to the technical field of energy utilization, and particularly relates to a method and a system for configuring the capacity of a rural micro energy system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
Rural energy refers to the supply and consumption of energy in rural areas, which not only affects the agricultural production level, but also invisibly affects the production and living conditions of farmers and living environment. With the rapid development of economy, the rural construction level is continuously improved, and rural energy is taken as important force for supporting agricultural development and is always highly valued by the nation. Under the background of energy situation shortage and low-carbon economy prevalence, according to the specific conditions, energy structures and production characteristics of rural areas, the energy industry is developed in a targeted manner, so that the situation of regional energy supply shortage is relieved, and meanwhile, rural environment construction and agricultural comprehensive benefit are promoted.
Various aspects of rural life, production, traffic and the like have the characteristics of multiple used energy types, multiple equipment types, multiple used forms and the like, and various energy resources can be utilized and generated in the agricultural production process. At present, the problem of rural difficult mass life and economic sources is solved through a photovoltaic poverty-relief policy, and large-scale photovoltaic access is realized. However, the low power load and the weak grid structure in rural areas make the photovoltaic grid-connected consumption difficult. Meanwhile, the distributed electric heating equipment instead of centralized coal-fired heating becomes an important development trend of the heating industry, and the clean heating mode of replacing coal with electricity is gradually popularized in rural areas, so that the electric-thermal coupling degree of the load in the rural areas is deepened. In the production links of planting industry, forestry, animal husbandry, fishery, auxiliary industry and the like, the energy resource utilization rate is low, the energy utilization efficiency is low, and the agricultural survival automation has a larger promotion space.
The inventor finds in research that a complete system is not formed in the existing rural energy construction process, and at present, a single energy system, such as a pure photovoltaic power generation system and a wind power generation system, does not fully utilize energy of rural areas, so how to keep safe operation of a power grid and improve energy resource utilization rate, energy utilization efficiency and electric automation degree are problems to be solved urgently.
Disclosure of Invention
In order to overcome the defects of the prior art, the present disclosure provides a method for configuring the capacity of a rural micro energy system, so as to realize the effective utilization of rural micro energy.
In order to achieve the above object, one or more embodiments of the present disclosure provide the following technical solutions:
in a first aspect, a rural micro energy system capacity allocation method is disclosed, which includes:
energy demand prediction: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years;
forecasting annual load demand: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round;
determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment;
calculating the capacity of various energy supply facilities: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction.
The further technical scheme also comprises the following steps: and evaluating the capacity of each configured energy conversion device, and if the capacity does not meet the set requirement, re-determining the structure of the energy system based on the energy use class and the limit value until the predicted annual load requirement is met.
According to the further technical scheme, when the energy demand is predicted, the total amount of the various types of energy is smaller than the lower limit and the upper limit of the total amount of the energy due to the constraint of the total amount of the various resources and the geographic position of the region.
According to a further technical scheme, when annual load demand is predicted, the electric load prediction adopts a proportionality coefficient method, and prediction is made according to historical data and a certain proportion.
According to the further technical scheme, when the composition of an energy system is determined, a wind power plant, a photovoltaic generator set, a methane tank and a pumped storage power station are integrated into a multi-energy linkage system;
the wind power plant, the photovoltaic generator set and the methane tank are used for meeting the load requirements of end users, and when the power generation amount of the wind power generator set and the photovoltaic generator set is higher than the system load requirements, surplus electric quantity is used for pumping water to an upper reservoir of a water pumping and energy storing power station water pump to store water on the premise of meeting the safe operation of the system;
when the electricity generation amount of the wind power and photovoltaic generator set is lower than the system load demand, the pumped storage water turbine carries out water drainage and electricity generation to meet the electricity load demand.
The further technical scheme is that the capacity configuration of various energy conversion devices is determined, and the capacity configuration comprises the following steps: biomass energy facility capacity configuration:
Figure BDA0002733726520000031
in the formula, C1The capacity of the biogas resource facility; g is the energy produced per unit volume; e1Energy required for annual loading; k is a radical of1To conversion efficiency;
hydraulic resource facility capacity allocation:
R＝k×g×w×H
Figure BDA0002733726520000032
in the formula, R is hydraulic resource energy; k is a conversion coefficient; w is annual water volume; g is the gravitational constant and H is the water head. C2Is the hydraulic resource facility capacity; e2Hydraulic power required for annual loading; k is a radical of2The efficiency of water-electricity conversion.
The further technical scheme is that the capacity configuration of various energy conversion devices is determined, and the method further comprises the following steps:
capacity allocation of solar resource facilities:
Q＝α×T×d
Figure BDA0002733726520000033
in the formula, Q is the total annual solar radiation, and alpha represents different annual weather coefficients; t is the number of hours of sunshine; d is the number of available days of solar energy;
C3preparing capacity for facilities for solar energy resource utilization; e3Solar energy required for annual load; k is a radical of3The photoelectric conversion efficiency;
wind power resource facility capacity allocation:
Figure BDA0002733726520000041
Figure BDA0002733726520000042
in the formula, W is wind energy density, rho is air density, and v is wind speed; c4The capacity of the facility for the utilization of wind energy resources; e4Wind power electric energy required for annual load；k4The wind power conversion efficiency is obtained.
In a second aspect, a rural micro energy system capacity allocation system is disclosed, comprising:
an energy demand prediction module configured to: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years;
an annual load demand forecasting module configured to: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round;
an energy system composition determination module configured to: determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment;
a miscellaneous energy facility capacity calculation module configured to: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction.
The above one or more technical solutions have the following beneficial effects:
according to the technical scheme, in the aspect of energy utilization, the capacity configuration of various energy conversion devices is determined based on the predicted energy demand and annual load demand, the energy supply and demand flow direction is determined, and the clean energy utilization rate and the overall energy utilization efficiency can be improved. Clean energy such as local water energy, wind energy, solar energy, biomass energy, geothermal energy and the like is fully excavated, and the ratio of the clean energy in a comprehensive energy system is improved. The combined cooling heating and power supply mode is adopted, the waste heat in the power generation process is fully utilized, and the waste of heat energy resources is avoided; and geothermal resources are reasonably configured, and a high-energy-efficiency energy production and energy utilization system is adopted, so that the energy utilization efficiency of the comprehensive energy system is comprehensively improved.
Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
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The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure and are not to limit the disclosure.
FIG. 1 is a block diagram of a rural micro-energy system according to an embodiment of the present disclosure;
fig. 2 is a flowchart of a planning process of an embodiment of the present disclosure.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
The embodiments and features of the embodiments in the present disclosure may be combined with each other without conflict.
Explanation will be given on the utilization of the domestic waste in rural production:
the resource consumption of villages generally includes agricultural production, resident life, tourism, resident residence and village industries, and a large amount of recyclable wastes are generated in the consumption process and are classified into 4 types.
Production of waste: mainly comprises crops, plants and livestock wastes. The crop waste comprises rice waste (rice hull and oil bran), dry rice straw, wheat bran, wheat straw, corn straw and the like; plant wastes such as scattered woods, residual branches, leaves and wood chips generated by felling in forestry planting, saw dust, wood chips, slabs, truncated heads and the like generated by wood processing, and forestry byproducts such as fruit shells and fruit pits; the waste in animal husbandry includes excrement of livestock and poultry produced by breeding cow, pig, duck, chicken and other animals.
Domestic garbage: mainly comprises non-directly recoverable matters, human and animal excreta, and domestic sewage such as toilet water, laundry water, kitchen water and the like which are generated by rural residents and tourists in daily life.
Kitchen garbage: mainly comprises swill, fruit and vegetable wastes and the like generated by resident families and hotel residents.
Industrial wastewater: the waste water discharged in the production process of industries such as wine making, electric tea frying, food manufacturing, grain processing, slaughtering and the like.
Aiming at the wastes, the wastes can be recycled by adopting ways such as methane fermentation, biomass gasification and the like. Biogas fermentation mainly aims at crop wastes, animal husbandry wastes, household garbage, industrial wastewater and the like, a centralized biogas digester is adopted, and the wastes are treated by an anaerobic fermentation technology to generate biogas.
The embodiment discloses a method for configuring the capacity of a rural micro energy system, which comprises the following steps:
(1) micro-energy system for planning villages
In this embodiment, a rural micro-energy system is planned by combining the requirements of resource endowment, energy infrastructure, economic and social development, and energy transformation development, as shown in fig. 1.
The construction of the rural micro-energy system carries out biogas fermentation and biomass gasification through the wastes of rural production and life, and based on the applicable technologies such as gas heating, multi-energy complementation, electric heat storage and electricity storage facilities, the application scenes such as agricultural production, resident life, rural industry and the like are considered, a new rural energy supply and demand mode is planned, a high-efficiency energy conversion and energy storage system is constructed between the local energy and the users, so that the local energy is converted into the main energy use form of 4 types of users such as cold, heat, electricity and gas, the multi-energy complementation of electricity, gas, cold and heat in the rural comprehensive energy system is realized, and the interaction optimization of source, network, load and storage and the maximized utilization of rural characteristic energy such as wind, water, light, terrestrial heat, biomass and the like are realized.
(2) Rural micro-energy system planning process
The embodiment of the invention designs a rural micro-energy system planning process, which is shown in figure 2. Sequentially developing energy demand prediction; calculating annual load requirements; selecting available energy; the composition of an analysis system; calculating the capacity of various functional facilities; optimizing capacity and budgeting annual load; measuring and calculating energy supply cost; carrying out comprehensive energy evaluation; and detecting whether the load requirements are met, and if not, re-analyzing the system composition.
Wherein, the energy demand prediction model is as follows:
the energy demand prediction is to measure and calculate the energy demand for the development of the village according to the cold, heat, electricity and gas demands of the past year. Comprehensively analyzing multiple driving factors such as economy, regions, population, policies and the like, and predicting the energy demand.
The energy demand prediction is constrained by the resource endowment and the geographical position of the region, the total usage amount of various types of energy is smaller than the lower limit and the upper limit of the total usage amount of the types of energy, and the specific data of the lower limit and the upper limit are determined according to the target year and the energy development plan of the region.
Figure BDA0002733726520000071
In the formula (I), the compound is shown in the specification,
Figure 1
total amount of energy source j used for k scene, ajAnd bjRespectively the lower limit and the upper limit of the j energy adjustment coefficient. k takes values of 1 to 4 and respectively represents 4 scenes of agricultural production, resident life, tourism, resident accommodation and country industry.
The energy demand mainly comprises cold, heat and electricity demands, wherein the electricity demands are usually supplied by power distribution, hydropower, photovoltaic power generation, wind power and the like, and the cold/heat demands are usually supplied by coal, gas, geothermal energy, power distribution and the like.
Figure BDA0002733726520000073
In the formula, EkjThe total amount of the jth energy source is used for the kth scene respectively,
Figure BDA0002733726520000075
utilization of the jth energy for the kth scenario, Eke1，Eke2，Eke3The total amount of cold, heat and electricity required for the kth scene respectively,
Figure BDA0002733726520000074
the utilization rates of cold, heat and electricity used energy in the kth scene are respectively.
With respect to the annual load demand prediction model:
the year load demand is calculated by fully considering the characteristics of scattered energy consumption, uneven load density distribution, strong seasonality and the like of the village, calculating the year loads of cold, heat and electricity in the aspects of agricultural production, resident life, village industry and the like all the year round, and predicting the load demand.
The electric load prediction adopts a proportionality coefficient method, and the prediction is made according to a certain proportion according to historical data and future development trend.
Calculating the formula: a. then＝A0(1+K)n
In the formula: a. thenElectrical load for the predicted year; a. the0Is the electrical load of the base year; k is the annual average growth rate from the basic year to the predicted year; and n is the number of years from the basic year to the predicted year.
The selection of the available energy is to fully consider the various types of energy in the village and the low utilization rate of local energy, measure and calculate the economical efficiency of the use of various types of energy according to natural conditions and determine the types and the limit values of the energy use.
Biomass energy
The biogas, biomass gas and the like are prepared by utilizing plant resources (agriculture and forestry), animal resources (poultry excrement), other resources and the like through an energy processing and converting technology. At present, the available biological resource quantity in China can be converted into standard coal with the potential of about 5 hundred million tons of energy, and with the enlargement of afforestation area and the development of economic society, the potential of converting the biomass resource into the energy in China can reach 10 hundred million tons of standard coal, and the energy consumption accounts for more than 25 percent of the total energy consumption in China.
Hydraulic resources
The water energy refers to kinetic energy, potential energy and pressure energy of a water body and is renewable clean energy.The utilization mode of the hydraulic resources in rural areas is usually rural small hydropower and micro hydropower. The rural small hydropower station generally refers to a small and medium hydropower station which is distributed in vast rural areas, is positioned on medium and small branches at the upstream of rivers and is funded by places, groups or individuals and is less than 5 ten thousand kw, and a power supply grid system of a matched place. The micro-hydroelectric power means that the drop near farmers is 1-30m, and the flow rate is 30-1000m3The stream, the brook and the like of/h are used for generating electricity, and generally refer to a hydroelectric power generation project with small installed capacity. Since hydraulic resource utilization is greatly affected by geographical factors, the available hydraulic resource score in a rural area can be expressed as:
s＝pi
in the formula, piRepresenting the available hydraulic development in various regions throughout the country. The proportion of east (Zhejiang, Fujian and Guangdong mountain areas) is 15 percent; the middle part (Jilin, Hunan and Hubei mountain areas) accounts for 15 percent; southwest (Guangxi, Yunnan, Guizhou, Chongqing, Sichuan and Tibet) accounts for 52%; northwest (inner Mongolia, Shaanxi, Ningxia, Gansu, Qinghai, Xinjiang) accounts for 18%.
Solar energy resource
Solar energy is used as a renewable energy source, and has the advantages of free, clean, pollution-free and recyclable use. In general, the west of the total solar radiation in China is higher than the east, and the north is higher than the south. The annual sunshine hours of the provinces of northwest, Jilin, Liaoning, Hebei and Shanxi are relatively long, the development and utilization value of solar energy resources is high, and the solar energy resources are difficult to be effectively utilized for a long time due to the fact that the rainy weather is high and the annual sunshine hours are short in most provinces of the south of the Yangtze river.
Wind resources
China has rich wind resources, and the northern area, the southeast coastal area, the inland local area and the coastal area are places for enriching wind energy. The wind power is high in wind speed and high in wind energy density in the southeast coastal region and the nearby island region, and the wind energy resources are good in the inland region from northeast, inner Mongolia to Hexi corridors and Xinjiang in Gansu; in addition, the north China and the Qinghai-Tibet plateau regions also have available wind energy.
Geothermal resource
Geothermal energy is a clean renewable energy source, and medium-low temperature geothermal resources are generally directly used for heating, greenhouses, tourism, medical treatment and other high-temperature geothermal resources for power generation. The geothermal resources in China are mainly medium-low temperature geothermal resources, and the regions of the southeast coastal region, the Tibet region and the Yunnan region are main distribution regions of the geothermal resources.
Analysis System construction
The analysis system is used for determining that the energy system comprises energy equipment and user equipment according to the energy supply and demand measurement and calculation conditions.
Energy equipment: agricultural waste methane tanks, sewage purification methane tanks, straw fermentation methane tanks, miniature hydropower stations, solar photovoltaics, wind driven generators, geothermal generators and the like.
The user equipment: solar water heaters, solar greenhouses, solar street lamps, solar cookers, biomass stoves and the like, agricultural and sideline product dryers and the like.
Calculating capacity of various energy supply facilities
The capacity calculation of various energy supply facilities is to sort various distributed power supplies, energy storage facilities, geothermal heat and the like, combine energy demand prediction results according to resource measurement and calculation amount and equipment selection conditions, fully consider station and corridor conditions, determine the capacity allocation of various energy conversion devices and determine the energy supply and demand flow direction.
Biomass energy facility capacity configuration
Figure BDA0002733726520000091
In the formula, C1The capacity of the biogas resource facility; g is the energy produced per unit volume; e1Energy required for annual loading; k is a radical of1The conversion efficiency was obtained.
Hydraulic resource facility capacity allocation
The utilization of hydraulic resources is greatly influenced by geographical factors and is related to water quantity, water level difference and the like.
R＝k×g×w×H
Figure BDA0002733726520000101
In the formula, R is hydraulic resource energy; k is a conversion coefficient; w is annual water volume; h is the water head difference. C2Is the hydraulic resource facility capacity; e2Hydraulic power required for annual loading; k is a radical of2The efficiency of water-electricity conversion.
Solar resource facility capacity allocation
The solar energy resource utilization is influenced by the weather and the sunshine hours, the sunshine hours are more than or equal to 6 hours within one day, and the solar energy utilization can be provided, and the solar energy utilization value is not high when the sunshine hours are less than 6 hours.
Q＝α×T×d
Figure BDA0002733726520000102
In the formula, Q is the total solar annual radiation amount, wherein alpha represents the annual different weather coefficients and is 100% in sunny days; in cloudy days, alpha is 15%; other weather, α is 0; t is the number of hours of sunshine; d is the number of usable days of solar energy, and T is more than or equal to 6 days in one year.
C3Preparing capacity for facilities for solar energy resource utilization; e3Solar energy required for annual load; k is a radical of3The photoelectric conversion efficiency is obtained.
Wind resource facility capacity allocation
The utilization of wind power resources is greatly influenced by the wind energy density and is related to the air density and the wind speed.
Figure BDA0002733726520000103
Figure BDA0002733726520000104
Wherein W is wind energy density, ρ is air density, and is 1.2225kg/m, constant below 500m3。C4The capacity of the facility for the utilization of wind energy resources; e4Wind power required for annual load; k is a radical of4The wind power conversion efficiency is obtained.
Capacity optimization and annual load prediction model
Optimizing capacity and estimating annual load is to analyze the supply and demand characteristics of various energy sources such as wind energy, solar energy, water energy, gas, geothermal energy and the like, fully utilize the space-time multi-scale complementary characteristics among the various energy sources and optimize the structure and the capacity of an energy system by means of multi-energy complementation.
Because geothermal resources are greatly limited by geography, the wind power plant, the photovoltaic generator set, the methane tank and the pumped storage power station are integrated into a multi-energy linkage system. The wind power plant, the photovoltaic generator set and the methane tank are used for meeting the load requirements of end users, and when the power generation amount of the wind power generator set and the photovoltaic generator set is higher than the load requirements of the system, surplus electric quantity is used for pumping water to the upper reservoir of the water pump storage power station and storing water on the premise of meeting the safe operation of the system. When the electricity generation amount of the wind power and photovoltaic generator set is lower than the system load demand, the pumped storage water turbine carries out water drainage and electricity generation to meet the electricity load demand.
Measuring and calculating energy supply cost
The energy supply cost is measured by considering investment cost, energy purchasing cost, fuel cost, operation and maintenance cost and the like.
Evaluation of comprehensive energy
The comprehensive energy evaluation is to calculate the system operation energy efficiency and social and economic benefits according to the system operation mode, select energy with good economical efficiency and high operation energy efficiency according to the system evaluation condition, correct the system composition and ensure the scientific and reasonable system configuration. The evaluation of energy economy includes several aspects such as energy price, energy cost, energy efficiency, and the like. For example, the price of the biogas can be calculated by the capital invested in the biogas digester, the service life and the annual gas production, and is as follows:
Figure BDA0002733726520000111
in the formula, pBiogasIs the biogas price (yuan/cubic meter); c is the construction cost of the methane tank; y is the age (years); annual gas production (cubic meters).
Energy consumption facilities are different, the price is greatly different, and the price of the energy consumption facilities such as a gas stove, a liquefied gas stove, a methane stove, an electric appliance and the like is intermediate; energy facilities such as a solar water heater, a small hydropower station, a wind power station and the like have certain technical content and relatively high price; although energy facilities such as a solar cooker and a solar photovoltaic device belong to new energy facilities, the cost is relatively low, and the use is wide.
The effective energy benefit obtained by the user has a direct relationship with the energy utilization facility. In the process of energy utilization, when a user obtains energy, a part of the energy is also dissipated to the external environment, and the dissipated part of the energy is an efficiency loss. In the actual energy utilization process, the difference of the energy types, energy utilization facilities and energy utilization modes causes great difference of the effective energy obtained by the energy utilization of the user.
Based on the same inventive concept, the present embodiment aims to provide a computing device, which includes a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the method of the above embodiment, and the method includes:
based on the same inventive concept, the present embodiment is directed to a computer-readable storage medium.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, performs the steps of the method of the above-described embodiment example.
Based on the same inventive concept, the present embodiment aims to provide a rural micro energy system capacity configuration system, which includes:
an energy demand prediction module configured to: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years;
an annual load demand forecasting module configured to: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round;
an energy system composition determination module configured to: determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment;
a miscellaneous energy facility capacity calculation module configured to: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction.
The steps involved in the apparatus of the above embodiment correspond to the method embodiment, and the detailed description can be referred to the relevant description of the embodiment. The term "computer-readable storage medium" should be taken to include a single medium or multiple media containing one or more sets of instructions; it should also be understood to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by a processor and that cause the processor to perform any of the methods of the present disclosure.
Those skilled in the art will appreciate that the modules or steps of the present disclosure described above can be implemented using general purpose computer means, or alternatively, they can be implemented using program code executable by computing means, whereby the modules or steps may be stored in memory means for execution by the computing means, or separately fabricated into individual integrated circuit modules, or multiple modules or steps thereof may be fabricated into a single integrated circuit module. The present disclosure is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present disclosure and is not intended to limit the present disclosure, and various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
Although the present disclosure has been described with reference to specific embodiments, it should be understood that the scope of the present disclosure is not limited thereto, and those skilled in the art will appreciate that various modifications and changes can be made without departing from the spirit and scope of the present disclosure.

Claims (10)

1. A rural micro energy system capacity configuration method is characterized by comprising the following steps:
energy demand prediction: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years;
forecasting annual load demand: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round;
determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment;
calculating the capacity of various energy supply facilities: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction.
2. The rural micro energy system capacity allocation method according to claim 1, further comprising: and evaluating the capacity of each configured energy conversion device, and if the capacity does not meet the set requirement, re-determining the structure of the energy system based on the energy use class and the limit value until the predicted annual load requirement is met.
3. The method according to claim 1, wherein the energy demand prediction is constrained by the total amount of each resource and geographical location of the area, and the total amount of each type of energy is less than the lower limit and the upper limit of the total amount of the type of energy.
4. The method as claimed in claim 1, wherein the prediction of the annual load demand is made proportionally based on historical data by using a proportionality coefficient method for the prediction of the electrical load.
5. The rural micro energy system capacity configuration method according to claim 1, wherein when the composition of the energy system is determined, a wind power plant, a photovoltaic generator set, a methane tank and a pumped storage power station are integrated into a multi-energy linkage system;
the wind power plant, the photovoltaic generator set and the methane tank are used for meeting the load requirements of end users, and when the power generation amount of the wind power generator set and the photovoltaic generator set is higher than the system load requirements, surplus electric quantity is used for pumping water to an upper reservoir of a water pumping and energy storing power station water pump to store water on the premise of meeting the safe operation of the system;
when the electricity generation amount of the wind power and photovoltaic generator set is lower than the system load demand, the pumped storage water turbine carries out water drainage and electricity generation to meet the electricity load demand.
6. The method of claim 1, wherein determining the capacity allocation of each type of energy conversion device comprises: biomass energy facility capacity configuration:
Figure FDA0002733726510000021
in the formula, C1The capacity of the biogas resource facility; g is the energy produced per unit volume; e1Energy required for annual loading; k is a radical of1To conversion efficiency;
hydraulic resource facility capacity allocation:
R＝k×g×W×H
Figure FDA0002733726510000022
in the formula, R is hydraulic resource energy; k is a conversion coefficient; w is annual water volume; g is the gravitational constant and H is the water head. C2Is the hydraulic resource facility capacity; e2Hydraulic power required for annual loading; k is a radical of2The efficiency of water-electricity conversion.
7. The method of claim 1, wherein determining the capacity allocation of each type of energy conversion device, further comprises:
capacity allocation of solar resource facilities:
Q＝α×T×d
Figure FDA0002733726510000023
in the formula, Q is the total annual solar radiation, and alpha represents different annual weather coefficients; t is the number of hours of sunshine; d is the number of available days of solar energy;
C3preparing capacity for facilities for solar energy resource utilization; e3Solar energy required for annual load; k is a radical of3The photoelectric conversion efficiency;
wind power resource facility capacity allocation:
Figure FDA0002733726510000031
Figure FDA0002733726510000032
in the formula, W is wind energy density, rho is air density, and v is wind speed; c4The capacity of the facility for the utilization of wind energy resources; e4Wind power required for annual load; k is a radical of4The wind power conversion efficiency is obtained.
8. A rural micro energy system capacity configuration system is characterized by comprising:
an energy demand prediction module configured to: predicting the energy demand for rural development based on the cold, heat, electricity and gas demands over the years;
an annual load demand forecasting module configured to: forecasting load demand based on year loads of cold, heat and electricity in the aspects of agricultural production, resident life and country industry all the year round;
an energy system composition determination module configured to: determining energy use types and limit values, and determining the composition of an energy system based on the energy use types and the limit values, wherein the energy system comprises energy equipment and user equipment;
a miscellaneous energy facility capacity calculation module configured to: and determining the capacity configuration of various energy conversion devices based on the predicted energy demand and annual load demand, and determining the energy supply and demand flow direction.
9. A computing device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the program.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method of any one of the preceding claims 1 to 7.
CN202011126313.3A 2020-10-20 2020-10-20 Method and system for configuring capacity of rural micro-energy system Pending CN112330103A (en)

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