CN108471141B - Wind power preferential digestion method for energy hub with uncertain wind power access - Google Patents
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Abstract
The invention discloses a wind power preferential digestion method of an energy hub with uncertain wind power access, which comprises the following steps: establishing a CCHP system EH model containing wind power access; the traditional three operation strategies are improved by considering the maximum preferential consumption of wind power; acquiring a wind power cooling and heat distribution coefficient calculation model for wind power preferential absorption under an improved operation strategy; and obtaining a wind power absorption power and absorption level calculation formula for detecting wind power absorption. The invention establishes an energy hub wind power preferential absorption model containing uncertain wind power access, which comprises a wind power cooling and heat distribution coefficient calculation model, a wind power absorption power and wind power absorption level calculation model, and can effectively solve the problem of preferential absorption of the energy hub wind power containing uncertain wind power access.
Description
Technical Field
The invention belongs to the field of energy internet multi-energy flow, and relates to a wind power preferential consumption method of an energy hub with wind power access.
Background
With the advance of energy internet construction, constructing a multi-energy flow system which is formed by collaborative optimization of energy of different forms such as electricity, heat, gas and the like in links such as production, transmission, consumption and the like to realize advantage complementation is a necessary way for energy internet development, and an Energy Hub (EH) is an important model for analyzing the multi-energy flow system and realizing energy interconnection. EH is defined as an input-output port model for describing the energy, load, exchange between networks, and coupling relationship in a multi-energy system, and a coupling matrix describing the input energy and output load ports can briefly represent various coupling relationships such as conversion, storage, transmission, and the like between various forms of energy such as electricity, heat, gas, and the like, and plays an important role in the planning and operation research of the multi-energy system.
Wind power as a renewable clean energy source is increasingly emphasized and rapidly developed, but wind power output has the characteristics of intermittence and fluctuation, wind power integration challenges the safety and reliability of a system, and meanwhile, uncertainty of wind power brings certain influence on scheduling operation of a power grid, so that the problems of wind power integration and consumption are prominent, the phenomenon of wind abandonment is prominent, and how to promote consumption of uncertain wind power and other clean energy sources becomes an important subject to be researched urgently.
The document 'overview and prospect of optimization planning and operation research of an energy hub in an energy internet' introduces a typical multi-energy flow system energy hub modeling including wind power and the like and an optimization method thereof, but only models the coupling relation among various forms of energy sources accessed to the energy hub, but does not relate to maximum and preferential consumption of wind power clean energy in consideration of multi-energy flow coupling of the energy hub aiming at wind power uncertainty, and needs further deep research.
Disclosure of Invention
The invention aims to provide a wind power preferential absorption method of an energy hub with uncertain wind power access, aiming at the problem that the uncertain wind power accessed to the energy hub is maximally preferentially absorbed, wherein clean energy such as wind power is accessed to the energy hub and participates in energy interconnection through multi-energy flow coupling.
In order to achieve the purpose, the invention adopts the following technical scheme:
a wind power preferential digestion method of an energy hub with uncertain wind power access comprises the following steps:
s1: taking a typical combined cooling, heating, and power (CCHP) multi-energy flow system as an example, establishing a CCHP system EH model containing wind power access;
s2: the traditional three operation strategies are improved by considering the maximum preferential consumption of wind power;
s3: definition vwThe method comprises the steps of simulating n groups of wind power output to be added into a CCHP system EH by a random fuzzy technology in consideration of random fuzzy uncertainty of the wind power output, and establishing a wind power cooling and heat distribution coefficient calculation model for wind power preferential absorption under three improved operation strategies according to the wind power output value of each group in combination with the electrical load and the cold and heat load of the CCHP system and the maximum heat/cold and electrical energy output power of a CHP unit;
s4: according to the wind power cooling and heat distribution coefficient model of wind power preferential absorption, the wind power preferential absorption can be realized, and then the wind power absorption power and the absorption level calculation formula are obtained.
The invention mainly researches the problem of wind power consumption of an energy hub with uncertain wind power access. A wind power preferential digestion method of an energy hub with uncertain wind power access is provided. An energy hub wind power preferential consumption model containing uncertain wind power access is established, and comprises a wind power cooling and heat distribution coefficient calculation model, a wind power consumption power and wind power consumption level calculation model, so that the problem of preferential consumption of energy hub wind power containing uncertain wind power access can be effectively solved.
Drawings
FIG. 1 is a flow chart of the steps of a wind power preferential elimination method of an energy hub with uncertain wind power access according to the present invention;
FIG. 2 is a diagram of an EH model of a CCHP system with uncertain wind power access;
FIG. 3 is a random distribution coefficient diagram of EH wind power supply cold and heat in a wind power preferential absorption improved multi-energy flow coupling mode;
FIG. 4 is a graph comparing wind power absorption power under an improved operating strategy and under a conventional operating strategy;
FIG. 5 is a graph comparing wind power consumption levels under an improved operating strategy and under a conventional operating strategy.
Detailed Description
The following describes a wind power preferential absorption method of an energy hub with uncertain wind power access according to an embodiment of the invention with reference to the accompanying drawings.
A wind power preferential digestion method of an energy hub with uncertain wind power access comprises the following steps:
s1: establishing EH model of CCHP system with wind power access
Specifically, in an EH composed of a distributed wind power generation system, a Combined Heat and Power (CHP) device, an auxiliary heating/cooling device such as a central air conditioning system (AC) and a power transformer (transformer), the wind power is directly connected to an electric load L of the CCHP system through a converter (converter)eAnd on AC, defining random ambiguity wind power accessed to EH
A cooling and heat distribution coefficient vwThe normal load of cold and hot load is used as a physical quantity LhAnd processing, wherein a schematic diagram of an EH physical model of the CCHP system with wind power access is shown in FIG. 2.
Setting EH to exchange power with power grid
Has a heat/cold distribution coefficient of ve，0≤{vw,veWhen the frequency is less than or equal to 1, then
And
to directly supply electrical power to the EH electrical load,
and
the wind power and the power grid are respectively input to the AC to supply electric energy of cold and hot loads. The coupling relationship between the input and the output of the wind turbine with random fuzzy wind characteristics EH can be expressed by the following formula (1)
In the formula etaconv.Efficiency of the wind power converter; etatrans.Is the efficiency of the transformer;
and
the power generation and heating/cooling efficiency of the CHP unit are respectively; etaACEfficiency for AC heating/cooling; pgIs a natural gas energy value.
S2: improvement of three traditional operation strategies by considering maximum preferential consumption of wind power
Due to the connection of wind power, the cold and hot load LhThe heat and cold load demand is not limited by the cold and heat supply capacity of the CHP any more, and on the premise of preferentially meeting the cold and heat load demand under the improved FTL operation strategyWhen the cold and heat load demand is larger than the maximum cold and heat output power of the CHP unit, the wind power is preferentially considered to meet the cold and heat supply through the AC, so that the heat/cold load demand in the improved FTL mode is not larger than the maximum heating/cold output power of the CHP unit
Make a comparison, but and
comparing with the sum of the wind power output multiplied by the AC equipment efficiency:
similarly, due to the access of wind power, the electric load demand under the improved 'heating with electricity' operating strategy is no longer equal to the maximum electric energy output power of the CHP unit
Make a comparison, but and
and comparing the sum of the wind power output multiplied by the efficiency of the converter:
a hybrid running (FHL) running strategy is a combination of two modes, FTL and FEL. And respectively determining the electric energy demand and the heat energy demand through the system load and then obtaining the electric heating demand ratio. Determining a critical ratio of an electric heating demand ratio by utilizing the characteristics of electric thermal coupling, and when the electric heating demand ratio is larger than the critical ratio, operating the system in an FTL mode; otherwise, when the ratio is smaller than the critical value, the system operates in the FEL mode.
The calculation of the electric heating demand ratio phi boundary is shown in the formula (4):
φ＝Le/Lh (4)
the critical ratio phi of the electric heating demand ratio phi can be set as the ratio of the CHP unit power generation efficiency and the heating/cooling efficiency, namely:
therefore, according to the obtained model of the exchange power under the improved FTL and the improved FEL operation strategy, the random fuzzy exchange power with the power grid under the improved FHL operation strategy can be obtained:
s3: wind power cooling and heat distribution coefficient calculation model for obtaining wind power preferential absorption under improved operation strategy
(1) The step S3 specifically includes:
and simulating n groups of wind power output to be added into the CCHP system EH by adopting a random fuzzy simulation technology according to the wind power output considering both randomness and fuzziness.
(2) The step S3 specifically further includes:
according to each group of wind power output values, combining the electric load and the cold and heat load of a CCHP system and the maximum heat/cold and electric energy output power of a CHP unit, a wind power cooling and heat distribution coefficient calculation model for wind power preferential consumption under an improved operation strategy under various conditions is established, and the improved FTL operation strategy is taken as an example and specifically as follows:
1) when in use
Wind power is totally supplied with cold/heat load through AC, namely the wind power heat supply/cold distribution coefficient vwWhen CHP outputs maximum cold/heat power as 1
If the demand is not met, electric energy is obtained from the power grid to supply cold/heat.
2) When in use
The following two cases are divided into A and B:
A. when in use
The cold/heat and electric load of the EH system can be supplied by the wind power output, the CHP set and the power grid can be standby, and the wind power heat supply/cold distribution coefficient
B. When in use
The following 3 scenarios can be divided:
is provided with Lh.maxIn order to improve the maximum possible cold/heat output power of the CHP unit in the FTL mode:
scene I when
In the formula
The CHP is fed with electrical load and cold/heat load efficiencies, respectively. That is, the wind power can meet the EH cold/heat load demand, but the residual wind power is less than the electric energy difference (i.e. the electric load and the CHP maximum cold and heat power L)h maxThe difference between the generated electric energy) when the CHP outputs the cold/hot power LHThe wind power supplies cold/heat load shortage, the residual wind power supplies EH electric load, the power grid supplies electric load shortage and is standby, and then the wind power heat supply/cold distribution coefficient is as follows:
scene II when
And is
Namely, after the wind power meets the cold/heat load requirement of the CCHP system, the output of the residual wind power is larger than the electric energy difference (namely the electric load and the CHP maximum cold/heat power L)h maxThe difference between the generated electric energy) and the CHP unit electric power cannot meet the electric load demand. The wind power heat supply/cold distribution coefficient is as follows:
scene III when
That is, all wind power is used for refrigeration/heat, when the CHP unit supplies cold/heat for supplement, the output electric power can meet the EH electric load demand, and then the wind power heat supply/cold distribution coefficient vw＝1。
In conclusion, the wind power distribution coefficient vwInfluenced by different wind power penetrations, heat/cold and electric load requirements of a CCHP system, maximum heat/cold and electric energy output power of a CHP unit and the like, and can be represented by the formula (8)
Similarly, a wind power cooling and heat distribution coefficient calculation model for wind power preferential absorption under the improved FEL operation strategy is shown as a formula (9)
Similarly, the wind power cooling and heating distribution coefficient calculation model for wind power preferential absorption under the improved FHL operation strategy is the combination of the wind power cooling and heating distribution coefficient calculation model for wind power preferential absorption under the improved FTL and the improved FEL operation strategy.
According to the model disclosed by the invention, the wind power distribution coefficient can be controlled to dynamically change according to the wind power output penetration and the electric load and the cold and hot load information of the CCHP system to achieve the effect of dynamic coordination optimization, so that the wind power can be consumed in a maximized and preferential manner.
And (3) simulating 5000 groups of wind power to be added into the CCHP system EH by adopting a random fuzzy simulation technology, and obtaining a wind power cooling and heating random distribution coefficient graph of the EH in the wind power preferential absorption improved multi-energy flow coupling mode according to the wind power output value of each group and various typical loads of the CCHP system (see figure 3).
S4: wind power consumption power and consumption level calculation formula
To check the wind power consumption connected into the CCHP system EH, P is definedCLFor the consumption power of the EH to the wind power, CL is defined as the consumption level index of the EH to the wind power, the wind power can be preferentially consumed according to the wind power cooling and heat distribution coefficient model for the preferential consumption of the wind power, and then the calculation formulas of the wind power consumption power and the consumption level are obtained as shown in the formula (10) and the formula (11)
In the formula, CL of 1 means total consumption, and a value closer to 1 means more consumption.
Taking the improved FTL as an example, 5000 groups of wind power are simulated to be added into the CCHP system EH by adopting the random fuzzy simulation technology, and a wind power absorption power comparison graph and a wind power absorption level comparison graph under the wind power preferential absorption improved multi-energy flow coupling mode and the conventional operation strategy are obtained according to the output value of each group of wind power and various typical loads of the CCHP system, and are shown in (4) and (5).
Therefore, the wind power preferential absorption method of the energy hub with uncertain wind power access is obtained.
The above embodiments are merely illustrative, and not restrictive, and various changes and modifications may be made by those skilled in the art without departing from the spirit and scope of the invention, and therefore all equivalent technical solutions are intended to be included within the scope of the invention.
Claims (1)
1. A wind power preferential digestion method of an energy hub with uncertain wind power access is characterized by comprising the following steps:
s1: for a combined cooling heating and power CCHP system, establishing an EH model of an energy hub of the combined cooling heating and power CCHP system with wind power access;
specifically, in an energy hub EH composed of distributed wind power, combined heat and power equipment CHP, an auxiliary heating and cooling equipment central air conditioning system AC and a power transformer, the wind power is directly connected to an electric load L of a combined heat and cooling and power CCHP system through a convertereAnd the central air-conditioning system AC defines the random ambiguity wind power accessed to the energy hub EH
The heat and cold distribution coefficient is vwThe thermal load is conventionally used as a physical quantity LhProcessing to obtain an EH model of an energy hub of a combined cooling heating and power CCHP system with wind power access;
defining the exchange power between an energy hub EH and a power grid
The heat and cold distribution coefficient is ve，0≤{vw,veWhen the frequency is less than or equal to 1, then
And
for supplying the electrical energy of the electrical loads of the energy hub EH directly,
and
the coupling relation of the input and the output of an energy hub EH containing random fuzzy wind power is expressed by an equation (1) as follows:
in the formula etaconv.Efficiency of wind power converter, ηtrans.In order to be efficient for the transformer,
and
the power generation, heating and cooling efficiencies, eta, of the CHP unit of the combined heat and power equipmentACEfficiency of heating and cooling for the central air conditioning system AC; pgIs a natural gas energy value;
s2: considering the maximum preferential consumption of wind power, the three operation strategies of determining the power by heat FTL, determining the heat by electricity FEL and performing mixed operation FHL are improved;
wind power cut-in, heat and cold load LhThe heat and cold supply capacity of the combined heat and power equipment CHP is not restricted any more, on the basis of the premise that the heat and cold load demand is preferentially met under the improved FTL operation strategy, when the heat and cold load demand is greater than the maximum heat and cold output power of the combined heat and power equipment CHP unit, the wind power is preferentially considered to carry out heat and cold supply through the AC (alternating Current) of the central air conditioning system, and the heat and cold load demand and the maximum heat and cold output power of the combined heat and power equipment CHP unit under the improved FTL mode
Comparing the wind power output with the sum of the wind power output multiplied by the efficiency of the AC equipment of the central air-conditioning system, and entering a step S3 to calculate the wind power heat and cold distribution coefficient according to the distribution condition;
similarly, the access of wind power, improved power supplyElectric load demand and maximum electric energy output power of CHP unit of cogeneration equipment under constant heat FEL operation strategy
Comparing the wind power output with the sum of the wind power output multiplied by the efficiency of the converter, and entering a step S3 to calculate the heat and cold distribution coefficient of the wind power according to the situation;
the mixed operation FHL operation strategy is a combination of two modes of fixing the electric energy FTL and fixing the heat FEL by heat, the electric heating demand ratio is obtained after the electric energy demand and the heat energy demand are respectively determined through the system load, the electric heating coupling characteristic is utilized to determine a critical ratio of the electric heating demand ratio, when the electric heating demand ratio is larger than the critical ratio, the system operates in the fixing the electric energy FTL mode, otherwise, when the electric heating demand ratio is smaller than the critical ratio, the system operates in the fixing the heat FEL mode;
the calculation of the electric heating demand ratio phi boundary is shown in the formula (2):
φ＝Le/Lh (2)
the critical ratio phi of the electric heat demand ratio phi is defined as the ratio of the heating efficiency and the heating and cooling efficiency of the CHP unit of the combined heat and power equipment, namely:
according to the improved power-by-heat FTL and the improved power-by-heat FEL operation strategy, the random fuzzy exchange power with the power grid under the improved mixed operation FHL operation strategy can be obtained:
s3: considering the random fuzzy uncertainty of the wind power output, simulating n groups of wind power output by adopting a random fuzzy technology and adding the n groups of wind power output into an energy hub EH of the combined cooling, heating and power CCHP system, and establishing a wind power heat and cold distribution coefficient calculation model for preferential wind power consumption under three improved operation strategies according to each group of wind power output value, the combined cooling, heating and power CCHP system electric load, the heat and cold load and the maximum heat and cold and electric energy output power of a CHP unit of combined cooling, heating and power equipment;
(1) the step S3 specifically includes:
according to the wind power output, both randomness and fuzziness are considered, a random fuzzy simulation technology is adopted to simulate n groups of wind power output to be added into an energy hub EH of a CCHP system;
(2) the step S3 specifically further includes:
according to each group of wind power output values, combining the electric load and the heat and power load of the combined cooling heating and power supply CCHP system and the maximum heat and power output power of the CHP unit of the combined cooling heating and power supply equipment, a wind power heat and power distribution coefficient calculation model for preferential consumption of wind power under the following improved operation strategy is established, and the improved FTL operation strategy is specifically as follows:
1) when in use
The wind power supplies heat and cold load through the AC of the central air conditioning system, namely the wind power supplies heat and cold distribution coefficient vwIf the combined heat and power supply device CHP outputs the maximum heat and cold power as 1
If the demand is not met, acquiring electric energy from the power grid to supply heat and cold loads;
2) when in use
The following two cases are divided into A and B:
A. when in use
The heat and cold and the electric load of the EH system of the energy hub can be supplied by the output of wind power, the CHP set and the power grid of the combined heat and power equipment can be used for standby, and the heat and cold distribution coefficient of the wind power is supplied by the wind power
B. When in use
The following 3 scenarios can be divided:
definition of Lh.maxIn order to improve the maximum possible heat and cold output power of the CHP unit of the combined heat and power supply equipment in the FTL mode by using heat and fixed power:
scene I when
That is, the wind power can meet the heat and cold load demand of the energy hub EH, but the residual wind power is less than the electric energy difference which is the maximum possible heat and cold output power L of the electric load and the combined heat and power supply device CHPh.maxThe difference of the electric energy of the heat and power cogeneration device CHP outputs the heat and cold power LHThe wind power supplies heat and cold load shortage, the surplus wind power supplies energy hub EH electric load, the power grid supplies electricity load shortage and is standby, and the wind power heat and cold distribution coefficient is as follows:
scene II when
And is
Namely, after the wind power meets the heat and cold load requirement of the combined cooling heating and power CCHP system, the residual wind power output is greater than the electric energy difference, and the electric energy difference is the maximum possible heat and cold output power L of the electric load and the combined heating and power device CHPh.maxAnd if the electric power of the combined heat and power equipment CHP set cannot meet the electric load demand at this time, the wind power heat supply and cold distribution coefficient:
scene III when
That is, all wind power is used for heating and cooling, when the CHP unit of the combined heat and power equipment supplyes and supplies heat and cooling demand, the output electric power can meet the demand of EH electric load of the energy hub, and then the heat and cooling distribution coefficient v of the wind power is givenw＝1；
In conclusion, the wind power heat and cold distribution coefficient vwThe influence of different wind power penetration, the heat and cold and power load demand conditions of the combined cooling heating and power CCHP system and the maximum heat and cold and power output power of the CHP unit of the combined cooling heating and power equipment is expressed by a formula (6):
in the formula, I' is
II' is
III' is a group of 1, and,
a ', B' and C 'are all discriminants, A' is
B' is
C' is
Lh.maxSatisfies the requirement of formula (5);
similarly, a wind power heat and cold distribution coefficient calculation model for wind power preferential absorption under the power-on-heat FEL operation strategy is improved as shown in the formula (7):
in the formula, I' is
II' is
III "is a number of 0, and,
a ', B ', and C ' are all discriminants,
a' is
B' is
C' is
Le.maxSatisfies the requirement of formula (8);
similarly, the wind power heat and cold distribution coefficient calculation model for improving wind power preferential absorption under the mixed operation FHL operation strategy is the combination of the wind power heat and cold distribution coefficient calculation model for improving wind power preferential absorption under the heat-fixed power FTL and the heat-fixed power FEL operation strategy;
s4: according to the wind power heat and cold distribution coefficient model of wind power preferential absorption, wind power preferential absorption can be realized, and then wind power absorption power and absorption level calculation formulas are obtained;
in order to test the wind power consumption condition in the energy hub EH of the CCHP system connected with the combined cooling heating and power system, P is definedCLFor the consumption power of the energy hub EH to the wind power, CL is defined as the consumption level index of the energy hub EH to the wind power, the wind power can be preferentially consumed according to the wind power heat supply and cold distribution coefficient model for the preferential consumption of the wind power, and then the calculation formulas of the wind power consumption power and the consumption level are shown as the formula (9) and the formula (10).
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