CN110991797B - Small hydropower station micro-grid power supply capacity configuration method considering multi-season flow change - Google Patents
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Abstract
The invention discloses a method for configuring the power supply capacity of a small hydropower station micro-grid in consideration of multi-season flow changes, which comprises the steps of firstly constructing a data set of the warehousing flow of the small hydropower station; then, calculating and determining the mean value and the variance of annual warehousing flow of the small hydropower stations in the microgrid in the summer-large period, the summer-small period, the summer-large period and the summer-small period according to the normal distribution rule by adopting a probability analysis method; calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the microgrid changes according to a normal distribution rule in summer big, summer small, withered big and withered small periods and the average value of the warehousing flow of the small hydropower stations in the microgrid; and finally, calculating the capacity of the small hydropower station small hydroelectric generator assembling machine. The method reflects the probability randomness of Xia Da, small summer, large withered period and small withered period warehousing flow change, provides theoretical guidance for power capacity configuration, power generation output prediction and operation scheduling of the small hydropower microgrid, and provides necessary technical support for distributed new energy power generation and scheduling operation of the smart grid.
Description
Technical Field
The invention relates to the technical field of power grids, in particular to a power supply capacity configuration method of a small hydropower station micro-grid considering multi-season flow change.
Background
The micro-grid is a grid form in which distributed sources (small hydropower, small wind power, photovoltaic power generation) -loads (water, electricity, gas, cold and heat loads) are integrated in a certain way. The micro-grid is connected with a main grid in 380V, 10kV, 35kV and other voltage levels, is in grid-connected operation with the main grid under the normal operation condition, absorbs power from the main grid during heavy load, and can inject power into the main grid during light load; under the condition of local failure of the main power grid or the condition of failure of an adjacent microgrid, isolated network operation can be realized, electric power quantity is provided for a load by a part of distributed power sources in the microgrid on the premise of ensuring the quality of electric energy, the normal power supply state of the faultless microgrid is realized, the power failure time is shortened, and the power supply reliability is improved.
The aim of the construction and operation of the micro-grid is to sustainably and efficiently utilize/consume part of distributed power supply electric quantity in the micro-grid and minimize the electric quantity exchanged with a main grid.
A distributed small hydropower station-based micro-grid is a micro-grid which takes small hydropower stations as a main form for power supply. In a small hydropower station micro-grid, most hydropower stations are of a radial flow type, dams generally have no water storage function, reservoirs have no water storage and water transfer capacity, the utilization of water energy of the small hydropower stations completely depends on the inflow of the reservoirs, and the power generation state and the output scale of small hydropower generating sets also completely depend on the inflow of the reservoirs. Under the condition, in order to realize high-efficiency utilization of water energy to generate electricity, the small hydropower station needs to generate more or less electricity by using more or less water. The water inflow amount of the reservoir of the small hydropower station is random, the water inflow amount is completely different in different hydrological cycles, the water inflow amount is large in a rich water period, and the water inflow amount is small in a poor water period. Thus, small hydropower farm basin river flows tend to be represented in tabular form as minimum flows, maximum flows, average flows, annual average flows, calculated average flows, weighted average flows, mathematical average flows, and the like. By adopting a meter form with different flow rates, small hydropower stations can obtain different installed capacity levels. The generated power and generated energy of the small hydropower station are different in different hydrologic periods at different installed capacity levels, and the optimal generated power and generated energy result in different hydropower station water energy utilization rates, generating equipment utilization rates and generating equipment annual maximum utilization hours.
Different load levels and the capacity scales of the distributed power supply are integrated in the microgrid, so that the structural form and the tidal current characteristics of the microgrid are changed. Because various distributed power supplies such as small hydropower station, small wind power, photovoltaic power generation and the like are connected, voltages of various levels can be adopted due to different capacities and scales of the connected power supplies. Due to the randomness of electricity utilization, the load power can always change on different time-space scales, and the time-interval performance is obvious; meanwhile, the output of distributed power supplies such as wind power generation and photovoltaic power generation is intermittent, random and time-interval, and the output of small hydroelectric generating sets is seasonal. Therefore, the balance relation between the load power and the power supply power of the micro-grid is difficult to maintain, when the load power is greater than the power supply power, the micro-grid needs to obtain supplementary power from the main power grid, and when the load power is less than the power supply power, the residual power of the micro-grid needs to be injected into the main power grid, so that a random bidirectional power flow characteristic is formed. The random bidirectional power flow characteristic can cause the voltage of the node in the local area in the microgrid to be higher when the distributed power supply is large in output and light in load and cause the voltage of the node in the local area in the microgrid to be lower when the distributed power supply is small in output and heavy in load. Therefore, the limitation conditions and requirements of the node voltage inside the microgrid have influence and restriction on the capacity configuration, the operation mode and the voltage control strategy of the distributed power supply in the microgrid, and the limitation conditions and requirements of the node voltage inside the microgrid need to be considered. When a micro-grid is connected to nodes of power distribution networks with different voltage grades, the node voltage of the power distribution network is changed to be higher or lower due to different absorption or injection power of the micro-grid from or into the power distribution network, and the limit conditions and requirements of the node voltage of the power distribution network need to be considered in the capacity configuration, the operation mode and the voltage control strategy of a distributed power supply in the micro-grid.
A microgrid distributed power system is a system with both complex and interactive stochastic and fuzzy uncertainty events or parameters. Under the influence of various uncertain random and fuzzy events or parameters, the power generation power and the power generation amount of the micro-grid distributed power supply become more random and fuzzy, and the capacity configuration of the micro-grid distributed power supply is greatly influenced by the characteristics. In the past, the generated power and the generated energy of a micro-grid distributed power system usually adopt a deterministic calculation method, and some of the generated power and the generated energy also adopt an uncertain calculation method of probability analysis. The deterministic calculation method is generally used for calculating the generated power, the generated energy and the installed capacity of the micro-grid distributed power supply system under the condition that the water inflow and the flow of a small hydropower station, the sunlight intensity in an area and the wind speed are all determined, the influences of factors such as the voltage regulation requirements of the micro-grid and a power distribution network and a flexible control mode are not considered, the calculation result is unique and deterministic, and the actual conditions of the generated power, the generated energy and the installed capacity of the micro-grid distributed power supply system cannot be reflected. The calculation method of probability analysis is generally to calculate the generated power, the generated energy and the installed capacity of the microgrid distributed power supply system under the condition that only single factors such as the water inflow and the flow of a small hydropower station, the sunlight intensity in an area, the wind speed and the like are assumed as uncertainty factors, and the calculation result is a probability value with a certain confidence level. In fact, the generated power, the generated energy and the installed capacity of the microgrid distributed power supply system are influenced by various uncertainty factors. Moreover, these influencing factors are typically random uncertainties or fuzzy uncertainties, or they are random and fuzzy uncertainties, often present as random and fuzzy uncertainty events or quantities. Therefore, the uncertainty and randomness of the influence factors are not fully considered in the prior art of calculating the generated power, the generated energy and the installed capacity of the microgrid distributed power supply system, and the applicability, the practicability and the applicability of the calculation method are difficult to meet.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a power capacity configuration method of a small hydropower station microgrid considering multi-season flow change.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
the method for configuring the power capacity of the small hydropower station micro-grid in consideration of multi-season flow changes comprises the following steps:
s1, acquiring data of the warehousing flow of the hydropower station in the microgrid during the period of middle summer, small summer, large summer and small summer in one year from a related database, and processing, calculating and analyzing the data; determining the warehousing flow of the small hydropower station through calculation and analysis, and constructing a data set of the warehousing flow of the small hydropower station;
s2, calculating and determining the mean value and the variance of annual warehousing flow of the small hydropower stations in the microgrid in the summer-large period, the summer-small period, the summer-large period and the summer-small period according to a normal distribution rule by adopting a probability analysis method: mu.s QXD And σ QXD 、μ QXX And σ QXX 、μ QKD And σ QKD 、μ QKX And σ QKX Xia Da, mean and variance of annual warehousing flow of small hydropower stations in the microgrid in the t-th time period of small summer, large withered period and small withered period, which change according to a normal distribution rule: mu.s QXDt And σ QXDt 、μ QXXt And σ QXXt 、μ QKDt And σ QKDt 、μ QKXt And σ QKXt ；
S3, calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the micro-grid changes according to a normal distribution rule in the summer-large period, the summer-small period, the summer-large period and the summer-small period;
s4, calculating the average value of warehousing flow of the small and medium hydropower stations in the micro-grid;
and S5, calculating the capacity of the small hydropower station generator assembling machine.
Further, the formula for calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the microgrid changes according to the normal distribution rule in the summer season, the summer season and the wither season in the step S3 is as follows:
in the formula, k QXD 、k QXX 、k QKD 、k QKX As a coefficient, determined by theoretical calculation and experience; t is QXD 、T QXX 、T QKD 、T QKX The numbers of the time segments of summer big, summer small, summer big and summer small are respectively, erf (y) is an error function, and the expression is as follows:
further, the formula for calculating the average value of the warehousing flow of the small hydropower stations in the microgrid in the step S4 is as follows:
Q I ＝(p QXD Q QXD +p QXX Q QXX +p QKD Q QKD +p QKX Q QKX )/4；
wherein Q QXD 、Q QXX 、Q QKD 、Q QKX The flow rates of the small hydropower stations are respectively summer large, summer small, withered large and withered small.
Further, the formula for calculating the capacity of the small hydropower station assembling machine in the step S4 is as follows:
P S ＝0.0098(k XD +k XX +k KD +k KX )HQ I /4；
wherein k is XD 、k XX 、k KD 、k KX The generating efficiency of the small hydropower station small hydropower unit is summer big, summer small, dry big and dry small, and H is a small hydropower station water head.
Compared with the prior art, the principle and the advantages of the scheme are as follows:
according to the scheme, data of the warehousing flow of the hydropower station in the middle-summer, small-summer, large-withered and small-withered period of one year in the microgrid are obtained from a relevant database, and processing, calculation and analysis are carried out; determining the warehousing flow of the small hydropower station through calculation and analysis, and constructing a data set of the warehousing flow of the small hydropower station; then, calculating and determining the mean value and the variance of annual warehousing flow of small hydropower stations in the microgrid in the summer-large period, the summer-small period, the summer-large period and the summer-small period according to the normal distribution rule by adopting a probability analysis method; calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the microgrid changes according to a normal distribution rule in summer big, summer small, withered big and withered small periods and the average value of the warehousing flow of the small hydropower stations in the microgrid; and finally, calculating the capacity of the small hydropower station small hydroelectric generator assembling machine. The scheme reflects the probability randomness of Xia Da, small summer, large withered period and small withered period warehousing flow change, provides theoretical guidance for power capacity configuration, power generation output prediction and operation scheduling of the small hydropower micro-grid, and provides necessary technical support for distributed new energy power generation and intelligent power grid scheduling operation.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the services required to be used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is also possible for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart of a method for configuring the power supply capacity of a small hydropower station micro-grid considering multi-season flow changes according to the invention.
Detailed Description
The invention is further illustrated by the following specific examples:
as shown in fig. 1, the method for configuring the power capacity of the small hydropower station micro-grid considering multi-season flow variation comprises the following steps:
s1, acquiring data of hydropower station warehousing flow in a microgrid during a period of middle summer, small summer, large withered and small withered in one year from a relevant database, and processing, calculating and analyzing the data; determining the warehousing flow of the small hydropower station through calculation and analysis, and constructing a data set of the warehousing flow of the small hydropower station;
s2, calculating and determining the mean value and the variance of annual warehousing flow of small hydropower stations in the microgrid in the summer big period, the summer small period, the summer big period and the summer small period according to a normal distribution rule by adopting a probability analysis method: mu.s QXD And σ QXD 、μ QXX And σ QXX 、μ QKD And σ QKD 、μ QKX And σ QKX Xia Da, mean and variance of annual warehousing flow of small hydropower stations in the microgrid in the t-th time period of small summer, large withered period and small withered period, which change according to a normal distribution rule: mu.s QXDt And σ QXDt 、μ QXXt And σ QXXt 、μ QKDt And σ QKDt 、μ QKXt And σ QKXt ；
S3, calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the micro-grid changes according to a normal distribution rule in the summer-large period, the summer-small period, the summer-large period and the summer-small period:
in the formula, k QXD 、k QXX 、k QKD 、k QKX As a coefficient, determined by theoretical calculation and experience; t is a unit of QXD 、T QXX 、T QKD 、T QKX The numbers of the time segments of summer big, summer small, summer big and summer small are respectively, erf (y) is an error function, and the expression is as follows:
s4, calculating the average value of warehousing flow of the small hydropower stations in the microgrid:
Q I ＝(p QXD Q QXD +p QXX Q QXX +p QKD Q QKD +p QKX Q QKX )/4；
wherein Q is QXD 、Q QXX 、Q QKD 、Q QKX The flow rates of the small hydropower stations are respectively summer large, summer small, withered large and withered small.
S5, calculating the capacity of the small hydropower station generator assembling machine:
P S ＝0.0098(k XD +k XX +k KD +k KX )HQ I /4；
wherein k is XD 、k XX 、k KD 、k KX The generating efficiency of the small hydropower station small hydropower unit is summer big, summer small, dry big and dry small, and H is a small hydropower station water head.
The above-mentioned embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereby, and all changes made in the shape and principle of the present invention should be covered within the scope of the present invention.
Claims (1)
1. The method for configuring the power capacity of the small hydropower station micro-grid in consideration of multi-season flow changes is characterized by comprising the following steps of:
s1, acquiring data of the warehousing flow of the hydropower station in the microgrid during the period of middle summer, small summer, large summer and small summer in one year from a related database, and processing, calculating and analyzing the data; determining the warehousing flow of the small hydropower station through calculation and analysis, and constructing a data set of the warehousing flow of the small hydropower station;
s2, calculating and determining the mean value and the variance of annual warehousing flow of small hydropower stations in the microgrid in the summer big period, the summer small period, the summer big period and the summer small period according to a normal distribution rule by adopting a probability analysis method: mu.s QXD And σ QXD 、μ QXX And σ QXX 、μ QKD And σ QKD 、μ QKX And σ QKX Xia Da, mean and variance of annual warehousing flow of small hydropower stations in the microgrid in the t-th time period of small summer, large withered period and small withered period, which change according to a normal distribution rule: mu.s QXDt And σ QXDt 、μ QXXt And σ QXXt 、μ QKDt And σ QKDt 、μ QKXt And σ QKXt ；
S3, calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the microgrid changes according to a normal distribution rule in summer large, summer small, summer large and summer small periods;
s4, calculating the average value of warehousing flow of the small and medium hydropower stations in the micro-grid;
s5, calculating the capacity of the small hydropower station generator assembling machine;
the formula for calculating and determining the probability that the reservoir warehousing flow of the small hydropower stations in the microgrid changes according to the normal distribution rule in the summer-large period, the summer-small period, the summer-large period and the summer-small period in the step S3 is as follows:
in the formula, k QXD 、k QXX 、k QKD 、k QKX As a coefficient, determined by theoretical calculation and experience; t is QXD 、T QXX 、T QKD 、T QKX The numbers of the time segments of summer big, summer small, summer big and summer small are respectively, erf (y) is an error function, and the expression is as follows:
the formula for calculating the average value of the warehousing flow of the small hydropower stations in the microgrid in the step S4 is as follows:
Q I ＝(p QXD Q QXD +p QXX Q QXX +p QKD Q QKD +p QKX Q QKX )/4；
wherein Q QXD 、Q QXX 、Q QKD 、Q QKX The flow rates of the small hydropower stations in storage are respectively summer large, summer small, withered large and withered small;
the formula for calculating the capacity of the small hydropower station generator assembling machine in the step S5 is as follows:
P S ＝0.0098(k XD +k XX +k KD +k KX )HQ I /4；
wherein k is XD 、k XX 、k KD 、k KX The generating efficiency of the small hydropower station small hydropower unit is summer big, summer small, dry big and dry small, and H is a small hydropower station water head.
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| CN109687506A (en) * | 2018-11-27 | 2019-04-26 | 广东电网有限责任公司韶关供电局 | Micro-capacitance sensor medium-small hydropower plants generated energy prediction technique |
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