CN115099989A - Yak intelligent breeding method and system - Google Patents
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Abstract
The invention discloses an intelligent yak breeding method and system, wherein the breeding resource purchasing amount is controlled from two aspects of saving breeding cost and expanding breeding income; on one hand, an energy supply model with the maximum breeding income as a target is established, the external energy purchase price on the same day is obtained, and the corresponding energy supply scheme under the condition of ensuring the maximum breeding income on the same day is obtained by taking the energy purchase price on the same day as a reference; on the other hand, a demand response model with the minimum cultivation cost as a target is established, an energy supply scheme is taken as a reference, the demand response with the minimum cultivation cost is ensured on the premise of meeting the energy required by cultivation, and the energy supply is reversely influenced by the demand response; through the bidirectional game of the breeding cost and the breeding income, a globally optimal breeding scheme is obtained, and energy is purchased and breeding operation is carried out according to the globally optimal breeding scheme, so that the resource utilization rate is improved under the condition of not stocking breeding resources.
Description
Technical Field
The invention relates to the technical field of yak breeding, in particular to an intelligent yak breeding method and system.
Background
The scale of the yak breeding industry in China is gradually enlarged, and particularly in plateau areas in China, the number of the yaks to be bred is huge. At present, most yak raisers adopt wisdom cultivation technique to breed yaks, adopt and set up the environmental control system in breeding canopy or plant, gather the air humiture of breeding canopy or plant through environmental control system collection node, illumination, CO2 concentration, the sulphide, data such as ammonia, and upload to analysis platform and carry out the analysis, control ring control is equipped with automatically and carries out air humidity control for yak cultivation place according to analysis result, temperature regulation, illumination regulation, ventilate, throw the food, trade operations such as water, yak cultivation industry automation and scale have been realized, and through the environmental data to the plant and yak's health status data analysis, yak's scientific cultivation has been realized.
However, in the process of yak breeding by using the existing intelligent breeding technology, breeding resources are usually purchased in advance, and then the breeding resources are automatically allocated and utilized by using farm environment control equipment, so that the breeding resources are easily accumulated, and the resource utilization rate is low.
In view of this, the present application is specifically proposed.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: the existing intelligent breeding technology is easy to cause the stocking of breeding resources, resulting in low resource utilization rate. The intelligent yak breeding method and system are characterized in that a demand response model taking the minimum breeding cost as a target and an energy supply model taking the maximum breeding income as a target are respectively established from the two aspects of saving breeding cost and expanding breeding income, a globally optimal breeding scheme is obtained through game play between the two models, the purchase quantity of breeding resources is determined according to the globally optimal breeding scheme, and therefore the highest breeding income is obtained under the condition that the breeding resources are not stocked.
The invention is realized by the following technical scheme:
on the one hand, the method comprises the following steps of,
the invention provides an intelligent yak breeding method which comprises the following steps:
s1: establishing a double-layer optimization model between an energy demand side taking a yak cluster as a core and an energy coupling side taking a farm environment control device as a core; the two-layer optimization model comprises: a demand response model and an energy supply model; the demand response model aims at minimizing the breeding cost on the premise of ensuring energy required by yaks; the energy supply model aims at the maximum breeding income;
s2: acquiring an energy purchase price provided by an energy supplier at an energy coupling side, initializing an energy supply model according to the energy purchase price to obtain an initial supply scheme, and providing the initial supply scheme to an energy demand side;
s4: on the energy demand side, solving a demand response model according to an initial supply scheme to obtain a current demand response scheme, and feeding back the current demand response scheme to the energy coupling side;
s5: at the energy coupling side, solving an energy supply model according to the current demand response scheme to obtain an adjusted supply scheme, and providing the adjusted supply scheme as an initial supply scheme to the demand response side;
s6: circularly executing S4 and S5 until the iteration number reaches an upper limit or the current response scheme and the adjusted supply scheme are kept unchanged, so as to obtain a final demand response scheme and a final supply scheme;
s7: and controlling the operation of the environment control equipment of the farm according to the final demand response scheme and the supply scheme to carry out yak breeding operation.
Further, in the above-mentioned case,
the energy coupling side purchases energy required by cultivation from the energy supplier, and the purchased energy is converted by the farm environmental control equipment and then is provided to the energy demand side;
the energy supplier includes: the system comprises a power distribution network system for providing electric energy to the energy coupling side, a water supply system for providing a water source to the energy coupling side, a natural gas network for providing gas to the energy coupling side, and a raw material supplier cluster for providing breeding feed to the energy coupling side;
the provisioning scheme includes: the lighting time, the light supplementing time, the ventilation times, the heating temperature and time, the humidification times, the water adding/changing amount and times and the feed putting amount which can be supplied;
the demand response scheme includes: the actual required lighting time, light supplementing time, ventilation times and time intervals, heating temperature and time, humidification times and time intervals, water adding/changing amount and times and feed putting amount and times.
Further, in the above-mentioned case,
the objective function expression of the energy supply model is as follows:
in the formula, S D The total income of the breeding days is shown, T is the total number of the scheduling time intervals of the environmental control equipment in one scheduling period, delta T is the duration of one scheduling time interval,
represents the maintenance cost of a farm for a single day,
and
respectively represents the electricity selling price, the heat selling price, the water selling price and the grain selling price which are provided by the energy coupling side to the energy demand side at the time t,
and
respectively represents the electricity selling price, the heat selling price, the water selling price and the grain selling price which are provided by the energy supplier to the energy coupling side at the time t,
and
respectively represents the power of the lighting equipment, the power of the light supplementing equipment, the power of the fresh air equipment, the power of the refrigerating equipment and the power of the humidifier which are provided by the energy coupling side to the energy demand side at the moment t,
and
respectively represents the heating equipment power, water source tonnage and feed weight provided by the energy coupling side to the energy demand side at the time t,
and
respectively representing electric power, gas power, water source tonnage and feed weight provided by an energy supplier to an energy coupling side at the time t, wherein delta represents a maintenance cost factor of the environment control equipment of the farm, and is 0.1;
the constraints of the energy supply model include: electricity selling price constraint, heat selling price constraint, water selling price constraint, grain selling price constraint, power balance constraint and farm equipment output constraint;
the electricity selling price constraints include:
wherein, the formula (2) represents that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the electricity sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the electricity sold by the energy coupling side to the energy demand side, the formula (3) represents that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the electricity sold by the energy supplier to the energy coupling side at the time t, and the formula (4) represents that the price of the electricity purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the electricity purchased by the energy supplier at the time t and is not higher than the price of the electricity sold by the energy coupling side to the energy demand side at the time t;
the heat purchase price constraint includes:
wherein, the formula (5) represents that the heat price provided by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the heat price provided by the energy coupling side to the energy demand side and is not higher than the upper limit of the heat price provided by the energy coupling side to the energy demand side, the formula (6) represents that the heat price provided by the energy coupling side to the energy demand side at the time t is not higher than the heat price provided by the energy supplier to the energy coupling side at the time t, and the formula (7) represents that the electricity purchase price provided by the energy coupling side to the energy supplier at the time t is not lower than the heat purchase price of the energy supplier at the time t and is not higher than the heat purchase price provided by the energy coupling side to the energy demand side at the time t;
the water purchase price constraint includes:
wherein, the formula (8) indicates that the price of water sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of water sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of water sold by the energy coupling side to the energy demand side, the formula (9) indicates that the price of water sold by the energy coupling side to the energy demand side at the time t is not higher than the price of water sold by the energy supplier to the energy coupling side at the time t, and the formula (10) indicates that the price of water purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of water purchased by the energy supplier at the time t and is not higher than the price of water sold by the energy coupling side to the energy demand side at the time t;
the grain purchase price constraint comprises:
wherein, the formula (11) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the grain sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the grain sold by the energy coupling side to the energy demand side, the formula (12) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the grain sold by the energy supplier to the energy coupling side at the time t, and the formula (13) represents that the price of the grain purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the grain purchased by the energy supplier at the time t and is not higher than the price of the grain sold by the energy coupling side to the energy demand side at the time t;
the power balance constraints include:
the farm equipment output constraints include:
in the formula, k 1 And k 2 Representing two forms of form conversion of the energy provided by the energy supply side by the energy coupling side, wherein the equipment represents the plant equipment and comprises lighting equipment, light supplementing equipment, fresh air equipment, heating equipment, refrigerating equipment, a humidifier, a water adding/changing device and a feed processing and feeding machine,
represents energy source by k 1 Conversion of form to k 2 The efficiency of the form of the conversion factor,
representing the output power of the energy source at the energy source coupling side,
and
respectively representing the minimum input power, the actual input power and the maximum input power of the energy source coupling side.
Further, it is possible to provide
The target function expression of the demand response model is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment, the power demand of fresh air equipment, the power demand of refrigeration equipment, the power demand of a humidifier, the power demand of heating equipment, the power demand of a water source and the demand of feed which are fed back to the energy coupling side at the moment t by the energy demand side,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment, the power demand of fresh air equipment, the power demand of refrigeration equipment, the power demand of a humidifier, the power demand of heating equipment, the power demand of a water source and the offset of feed demand at the moment t;
the constraints of the demand response model include:
wherein the content of the first and second substances,
and
respectively represents the power demand of the illumination equipment, the power demand of the light supplement equipment, the power demand of the fresh air equipment, the power demand of the refrigeration equipment, the power demand of the humidifier, the power demand of the heating equipment, the water source demand and the upper limit of the offset of the feed demand,
and
but represent illumination equipment power demand, light filling equipment power demand, new trend equipment power demand, refrigeration plant power demand, humidifier power demand, heating equipment power demand, water source demand and the offset lower limit of fodder demand respectively.
Further, in the above-mentioned case,
the method for solving the energy supply model comprises the following steps: and solving by adopting an improved particle swarm optimization model, and taking the particle fitness as a benefit target of an energy supplier.
Further, the method comprises
And the service energy supply model and the demand response model are modeled by using Yalmip and call Gurobi to carry out optimization solution.
On the other hand, in the case of a system,
the invention provides an intelligent yak breeding system, which comprises:
the environment control equipment of the farm is used for controlling the breeding environment in the farm and carrying out automatic yak feeding operation;
the server is used for controlling the environment control equipment of the farm to work according to the final demand response scheme and the final supply scheme so as to carry out yak breeding operation;
the model building module is used for building an energy supply model with the maximum breeding profit as a target and a demand response model with the minimum breeding cost as a target;
the simulation transaction module is used for simulating a transaction process between the energy demand side and the energy supply side to obtain a final demand response scheme and a final supply scheme;
the simulated transaction module comprises:
the data acquisition unit is used for acquiring the energy purchase price provided by an energy supplier;
the energy supply model solving unit is used for carrying out model solving according to the demand response scheme fed back by the demand response model solving unit to obtain a supply scheme, and the supply scheme is sent to the demand response model solving unit;
the demand response model solving unit is used for carrying out model solving according to the supply scheme sent by the energy supply model solving unit to obtain a demand response scheme and feeding the demand response scheme back to the energy supply model solving unit;
and the execution control unit is used for controlling the energy supply model solving unit and the demand response model solving unit to work under the preset circulation cut-off condition, outputting the final demand response scheme and the final supply scheme, and sending the final demand response scheme and the final supply scheme to the server.
Further, in the above-mentioned case,
plant's environmental control equipment includes: lighting equipment, light filling equipment, fresh air equipment, heating equipment, refrigeration equipment, humidifier, water adding/changing device and feed processing and putting machine.
Further, in the above-mentioned case,
the simulated transaction module further comprises:
the supply scheme generating unit is used for converting the result output by the energy supply model solving unit into a supply scheme;
and the demand response scheme generating unit is used for converting the result output by the demand response model solving unit into a demand response scheme.
Further, in the above-mentioned case,
the energy supply model solving unit includes:
the model initialization unit is used for initializing the energy supply model according to the energy purchase price to obtain an initial supply scheme and reporting the initial supply scheme to the demand response model solving unit;
and the supply scheme adjusting unit is used for solving the energy supply model according to the current demand response scheme sent by the demand response model solving unit to obtain an adjusted supply scheme, and sending the adjusted supply scheme serving as an initial quotation scheme to the demand response model solving unit.
Compared with the prior art, the invention has the following advantages and beneficial effects:
1. the purchase quantity of the culture resources is controlled from two aspects of saving the culture cost and expanding the culture income; on one hand, an energy supply model with the maximum breeding income as a target is established, the external energy purchase price on the same day is obtained, and the corresponding energy supply scheme under the condition of ensuring the maximum breeding income on the same day is obtained by taking the energy purchase price on the same day as a reference; on the other hand, a demand response model with the minimum cultivation cost as a target is established, an energy supply scheme is taken as a reference, the demand response with the minimum cultivation cost is ensured on the premise of meeting the energy required by cultivation, and the energy supply is reversely influenced by the demand response; through bidirectional game of breeding cost and breeding income, a globally optimal breeding scheme is obtained, energy is purchased and breeding operation is carried out according to the globally optimal breeding scheme, and therefore the resource utilization rate is improved under the condition that breeding resources are not stocked;
2. energy demand elasticity (the allowable fluctuation range of the amount of energy required by the breeding) is introduced, and the energy demand is controlled within the energy demand elasticity range, so that energy supply is influenced reversely, and the flexibility of energy purchasing, energy supply and energy demand response in the yak breeding process is enhanced;
3. according to the optimal demand response scheme, the environment control equipment is controlled to carry out air humidity adjustment, temperature adjustment, illumination adjustment, ventilation, feeding, water changing and other operations on the breeding place, so that automation and scientification of the yak breeding industry are realized.
Drawings
In order to more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and it is obvious to those skilled in the art that other related drawings can be obtained based on these drawings without inventive effort.
FIG. 1 is a schematic diagram of a farming service architecture according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an intelligent yak breeding method provided by the embodiment of the invention;
fig. 3 is a schematic structural diagram of an intelligent yak breeding system provided by the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to examples and accompanying drawings, and the exemplary embodiments and descriptions thereof are only used for explaining the present invention and are not meant to limit the present invention.
Example 1
In order to make up the defects that the existing intelligent breeding technology is easy to cause breeding resource accumulation and cause low resource utilization rate, the embodiment provides the intelligent breeding method for the yaks, a demand response model which aims at the minimum breeding cost and an energy supply model which aims at the maximum breeding income are respectively established from the two aspects of saving breeding cost and expanding breeding income, a globally optimal breeding scheme is obtained through a game between the two models, and the purchasing quantity of the breeding resources is determined according to the globally optimal breeding scheme, so that the highest breeding income is obtained under the condition that the breeding resources are not accumulated.
Specifically, an intelligent yak breeding method is implemented in a breeding service architecture including an energy coupling side, an energy demand side and an energy supplier as shown in fig. 1. In the breeding service architecture, an energy coupling side purchases energy required for breeding from an energy supplier, and provides breeding service and charges service fee to an energy demand side.
The method is realized by the following steps:
s1: establishing a double-layer optimization model between an energy demand side taking a yak cluster as a core and an energy coupling side taking a farm environment control device as a core; the two-layer optimization model comprises: a demand response model and an energy supply model; the demand response model aims at minimizing the breeding cost on the premise of ensuring the energy required by yaks; the energy supply model targets maximum breeding revenue.
S2: acquiring an energy purchase price provided by an energy supplier at an energy coupling side, initializing an energy supply model according to the energy purchase price to obtain an initial supply scheme, and providing the initial supply scheme to an energy demand side;
s4: on the energy demand side, solving a demand response model according to an initial supply scheme to obtain a current demand response scheme, and feeding back the current demand response scheme to the energy coupling side;
s5: at the energy coupling side, solving an energy supply model according to the current demand response scheme to obtain an adjusted supply scheme, and providing the adjusted supply scheme as an initial supply scheme to the demand response side;
s6: circularly executing S4 and S5 until the iteration number reaches an upper limit or the current response scheme and the adjusted supply scheme are kept unchanged, so as to obtain a final demand response scheme and a final supply scheme;
s7: and controlling the operation of the environment control equipment of the farm according to the final demand response scheme and the supply scheme to carry out yak breeding operation.
It should be noted that, in the following description,
the energy coupling side purchases energy required by cultivation from the energy supplier, and the purchased energy is converted by the farm environmental control equipment and then is provided to the energy demand side;
the energy supplier includes: the system comprises a power distribution network system for providing electric energy to the energy coupling side, a water supply system for providing a water source to the energy coupling side, a natural gas network for providing gas to the energy coupling side, and a raw material supplier cluster for providing breeding feed to the energy coupling side;
the provisioning scheme includes: the lighting time, the light supplementing time, the ventilation times, the heating temperature and time, the humidification times, the water adding/changing amount and times and the feed putting amount which can be supplied;
the demand response scheme includes: the actual required lighting time, light supplementing time, ventilation times and time intervals, heating temperature and time, humidification times and time intervals, water adding/changing amount and times and feed putting amount and times.
In particular, the method of manufacturing a semiconductor device,
the energy supply model in S1 has a scalar function expression of:
in the formula, S D The total income of the breeding days is shown, T is the total number of the scheduling time intervals of the environmental control equipment in one scheduling period, delta T is the duration of one scheduling time interval,
represents the maintenance cost of a farm for a single day,
and
respectively represents the energy coupling side to the energy at the time tThe price of electricity sold, the price of heat sold, the price of water sold and the price of grain sold provided by the demand side,
and
respectively represents the electricity selling price, the heat selling price, the water selling price and the grain selling price which are provided by the energy supplier to the energy coupling side at the time t,
and
respectively represents the power of the lighting equipment, the power of the supplementary lighting equipment, the power of the fresh air equipment, the power of the refrigeration equipment and the power of the humidifier which are provided by the energy coupling side to the energy demand side at the moment t,
and
respectively representing the heating equipment power, the water source tonnage and the feed weight which are provided by the energy coupling side to the energy demand side at the time t,
and
respectively representing electric power, gas power, water source tonnage and feed weight provided by an energy supplier to an energy coupling side at the time t, wherein delta represents a maintenance cost factor of the environment control equipment of the farm, and is 0.1;
the constraints of the energy supply model include: electricity selling price constraint, heat selling price constraint, water selling price constraint, grain selling price constraint, power balance constraint and farm equipment output constraint;
the electricity selling price constraint comprises:
wherein, the formula (2) indicates that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the electricity sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the electricity sold by the energy coupling side to the energy demand side, the formula (3) indicates that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the electricity sold by the energy supplier to the energy coupling side at the time t, and the formula (4) indicates that the price of the electricity purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the electricity purchased by the energy supplier at the time t and is not higher than the price of the electricity sold by the energy coupling side to the energy demand side at the time t;
the heat purchase price constraint includes:
wherein, the formula (5) represents that the heat price provided by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the heat price provided by the energy coupling side to the energy demand side and is not higher than the upper limit of the heat price provided by the energy coupling side to the energy demand side, the formula (6) represents that the heat price provided by the energy coupling side to the energy demand side at the time t is not higher than the heat price provided by the energy supplier to the energy coupling side at the time t, and the formula (7) represents that the electricity purchase price provided by the energy coupling side to the energy supplier at the time t is not lower than the heat purchase price of the energy supplier at the time t and is not higher than the heat purchase price provided by the energy coupling side to the energy demand side at the time t;
the water purchase price constraints include:
wherein, the formula (8) represents that the price of the water sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the water sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the water sold by the energy coupling side to the energy demand side, the formula (9) represents that the price of the water sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the water sold by the energy supplier to the energy coupling side at the time t, and the formula (10) represents that the price of the water purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the water purchased by the energy supplier at the time t and is not higher than the price of the water sold by the energy coupling side to the energy demand side at the time t;
the grain purchase price constraint comprises:
wherein, the formula (11) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the grain sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the grain sold by the energy coupling side to the energy demand side, the formula (12) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the grain sold by the energy supplier to the energy coupling side at the time t, and the formula (13) represents that the price of the grain purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the grain purchased by the energy supplier at the time t and is not higher than the price of the grain sold by the energy coupling side to the energy demand side at the time t;
the power balance constraints include:
the farm equipment output constraints include:
in the formula, k 1 And k 2 Representing two forms of form conversion of the energy provided by the energy supply side by the energy coupling side, wherein the equipment represents the plant equipment and comprises lighting equipment, light supplementing equipment, fresh air equipment, heating equipment, refrigerating equipment, a humidifier, a water adding/changing device and a feed processing and feeding machine,
represents an energy source of k 1 Conversion of form to k 2 The efficiency of the form of the conversion factor,
representing the output power of the energy source at the energy source coupling side,
and
respectively representing the minimum input power, the actual input power and the maximum input power of the energy source coupling side.
The objective function expression of the demand response model in S1 is:
in the formula (I), the compound is shown in the specification,
and
respectively representing the power demand of the illumination equipment fed back to the energy coupling side at the moment t by the energy demand sideThe power demand of the light supplement equipment, the power demand of the fresh air equipment, the power demand of the refrigeration equipment, the power demand of the humidifier, the power demand of the heating equipment, the water source demand and the feed demand,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment, the power demand of fresh air equipment, the power demand of refrigeration equipment, the power demand of a humidifier, the power demand of heating equipment, the power demand of a water source and the offset of feed demand at the moment t;
the constraints of the demand response model include:
wherein the content of the first and second substances,
and
respectively represents the power demand of the illumination equipment, the power demand of the light supplement equipment, the power demand of the fresh air equipment, the power demand of the refrigeration equipment, the power demand of the humidifier, the power demand of the heating equipment, the water source demand and the upper limit of the offset of the feed demand,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment and fresh air equipmentA power demand, a refrigeration equipment power demand, a humidifier power demand, a heating equipment power demand, a water source demand, and an offsetable lower limit of a feed demand.
It is further to be noted that,
in S2 and S4, the method of solving the energy supply model includes: and solving by adopting an improved particle swarm optimization model, and taking the particle fitness as a benefit target of an energy supplier. And the service energy supply model and the demand response model are modeled by using Yalmip and Gurobi is called to carry out optimization solution.
The intelligent yak breeding method and the method flow refer to the figure 2. Firstly, a cultivation service architecture with an energy coupling side as a core is provided, and the structure of the cultivation service architecture and the interaction relationship between the energy coupling side and a demand response side in transaction are clarified, namely, the energy coupling side is taken as a 'tie' for connecting with an external energy supplier. Then, a master-slave game model between the energy coupling side and the demand response side is established, namely a service quotation optimization model, namely, the energy price is formulated by taking the profit maximization of the energy coupling side as a target; and the demand response optimization model adjusts the self energy utilization scheme by taking the minimum cost of the demand response side as a target and taking the minimum cost of the comprehensive energy utilization as a target according to the energy price determined by the energy coupling side. And finally, based on a double-layer game model (a service quotation optimization model-a demand response optimization model), a game is developed between an energy coupling side and a demand response side, wherein the energy coupling side is used for transmitting the generated energy purchasing/selling price scheme to the demand response side, the demand response side is used for adjusting the energy consumption demand of the demand response side according to the energy purchasing/selling price scheme to generate a current optimal response scheme and feeding back the current optimal response scheme to the energy coupling side, the energy coupling side is used for modulating according to the feedback demand response scheme of the demand response side and is released to the demand response side, iteration is carried out in the mode until the iteration times reach an upper limit or the current optimal response scheme and the price optimization scheme are not changed, and a globally optimal breeding scheme (a demand response scheme and an energy supply scheme) is obtained. And purchasing energy and carrying out cultivation operation according to the globally optimal cultivation scheme, thereby achieving the highest cultivation benefit under the condition of not stocking cultivation resources.
Example 2
The embodiment provides a yak intelligent breeding system corresponding to the yak intelligent breeding method in the embodiment 1, and is used for realizing the method in the embodiment 1. This yak wisdom farming systems's structure is shown as figure 3, includes:
the environment control equipment of the farm is used for controlling the breeding environment in the farm and carrying out automatic yak feeding operation;
the server is used for controlling the environment control equipment of the farm to work according to the final demand response scheme and the final supply scheme so as to carry out yak breeding operation;
the model building module is used for building an energy supply model with the maximum breeding profit as a target and a demand response model with the minimum breeding cost as a target;
the simulation transaction module is used for simulating a transaction process between the energy demand side and the energy supply side to obtain a final demand response scheme and a final supply scheme;
the simulated transaction module comprises:
the data acquisition unit is used for acquiring the energy purchase price provided by an energy supplier;
the energy supply model solving unit is used for carrying out model solving according to the demand response scheme fed back by the demand response model solving unit to obtain a supply scheme, and the supply scheme is sent to the demand response model solving unit;
the demand response model solving unit is used for carrying out model solving according to the supply scheme sent by the energy supply model solving unit to obtain a demand response scheme and feeding back the demand response scheme to the energy supply model solving unit;
and the execution control unit is used for controlling the energy supply model solving unit and the demand response model solving unit to work under a preset circulation cut-off condition, outputting a final demand response scheme and a final supply scheme, and sending the final demand response scheme and the final supply scheme to the server.
Wherein, the first and the second end of the pipe are connected with each other,
plant's environmental control equipment includes: lighting equipment, light filling equipment, fresh air equipment, heating equipment, refrigeration plant, humidifier, add/trade hydrophone and feed processing and put in machine.
The simulated transaction module further comprises:
the supply scheme generating unit is used for converting the result output by the energy supply model solving unit into a supply scheme;
and the demand response scheme generation unit is used for converting the result output by the demand response model solving unit into a demand response scheme.
The energy supply model solving unit includes:
the model initialization unit is used for initializing the energy supply model according to the energy purchase price to obtain an initial supply scheme and reporting the initial supply scheme to the demand response model solving unit;
and the supply scheme adjusting unit is used for solving the energy supply model according to the current demand response scheme sent by the demand response model solving unit to obtain an adjusted supply scheme, and sending the adjusted supply scheme serving as an initial quotation scheme to the demand response model solving unit.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. The intelligent yak breeding method is characterized by comprising the following steps:
s1: establishing a double-layer optimization model between an energy demand side taking a yak cluster as a core and an energy coupling side taking a farm environment control device as a core; the two-layer optimization model comprises: a demand response model and an energy supply model; the demand response model aims at minimizing the breeding cost on the premise of ensuring energy required by yaks; the energy supply model aims at the maximum breeding income;
s2: acquiring an energy purchase price provided by an energy supplier at an energy coupling side, initializing an energy supply model according to the energy purchase price to obtain an initial supply scheme, and providing the initial supply scheme to an energy demand side;
s4: on the energy demand side, solving a demand response model according to an initial supply scheme to obtain a current demand response scheme, and feeding back the current demand response scheme to the energy coupling side;
s5: at the energy coupling side, solving an energy supply model according to the current demand response scheme to obtain an adjusted supply scheme, and providing the adjusted supply scheme as an initial supply scheme to the demand response side;
s6: circularly executing S4 and S5 until the iteration number reaches an upper limit or the current response scheme and the adjusted supply scheme are kept unchanged, so as to obtain a final demand response scheme and a final supply scheme;
s7: and controlling the operation of the environment control equipment of the farm according to the final demand response scheme and the supply scheme to carry out yak breeding operation.
2. The intelligent yak breeding method of claim 1, wherein the intelligent yak breeding method comprises the steps of,
the energy coupling side purchases energy required by cultivation from the energy supplier, converts the form of the purchased energy through the environmental control equipment of the farm and provides the converted energy to the energy demand side;
the energy supplier includes: the system comprises a power distribution network system for providing electric energy to the energy coupling side, a water supply system for providing a water source to the energy coupling side, a natural gas network for providing fuel gas to the energy coupling side, and a raw material supplier cluster for providing breeding feed to the energy coupling side;
the provisioning scheme includes: the lighting time, the light supplementing time, the ventilation times, the heating temperature and time, the humidification times, the water adding/changing amount and times and the feed putting amount which can be supplied;
the demand response scheme includes: the actual required lighting time, light supplementing time, ventilation times and time intervals, heating temperature and time, humidification times and time intervals, water adding/changing amount and times and feed putting amount and times.
3. The intelligent yak breeding method of claim 1, wherein the intelligent yak breeding method comprises the steps of,
the target function expression of the energy supply model is as follows:
in the formula, S D Shows the total income of a breeding day, T shows the total number of the scheduling time intervals of the environmental control equipment in a scheduling period, delta T shows the duration of one scheduling time interval,
the single-day maintenance cost of the farm is shown,
and
respectively represents the electricity selling price, the heat selling price, the water selling price and the grain selling price which are provided by the energy coupling side to the energy demand side at the time t,
and
respectively represents the electricity selling price, the heat selling price, the water selling price and the grain selling price which are provided by the energy supplier to the energy coupling side at the time t,
and
respectively representing the energy coupling sideThe power of lighting equipment, the power of light supplementing equipment, the power of fresh air equipment, the power of refrigerating equipment and the power of a humidifier which are provided for the energy demand side at the moment t,
and
respectively represents the heating equipment power, water source tonnage and feed weight provided by the energy coupling side to the energy demand side at the time t,
and
respectively representing electric power, gas power, water source tonnage and feed weight provided by an energy supplier to an energy coupling side at the time t, wherein delta represents a maintenance cost factor of the environment control equipment of the farm, and is 0.1;
the constraints of the energy supply model include: electricity selling price constraint, heat selling price constraint, water selling price constraint, grain selling price constraint, power balance constraint and farm equipment output constraint;
the electricity selling price constraint comprises:
wherein, the formula (2) represents that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the electricity sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the electricity sold by the energy coupling side to the energy demand side, the formula (3) represents that the price of the electricity sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the electricity sold by the energy supplier to the energy coupling side at the time t, and the formula (4) represents that the price of the electricity purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the electricity purchased by the energy supplier at the time t and is not higher than the price of the electricity sold by the energy coupling side to the energy demand side at the time t;
the heat purchase price constraint includes:
wherein, the formula (5) indicates that the heat sale price provided by the energy coupling side to the energy demand side at the time t must not be lower than the lower limit of the heat sale price provided by the energy coupling side to the energy demand side and must not be higher than the upper limit of the heat sale price provided by the energy coupling side to the energy demand side, the formula (6) indicates that the heat sale price provided by the energy coupling side to the energy demand side at the time t must not be higher than the heat sale price provided by the energy supplier to the energy coupling side at the time t, and the formula (7) indicates that the purchase price of electricity from the energy coupling side to the energy supplier at the time t must not be lower than the purchase price of the energy supplier at the time t and must not be higher than the purchase price provided by the energy coupling side to the energy demand side at the time t;
the water purchase price constraint includes:
wherein, the formula (8) represents that the price of the water sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the water sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the water sold by the energy coupling side to the energy demand side, the formula (9) represents that the price of the water sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the water sold by the energy supplier to the energy coupling side at the time t, and the formula (10) represents that the price of the water purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the water purchased by the energy supplier at the time t and is not higher than the price of the water sold by the energy coupling side to the energy demand side at the time t;
the grain purchase price constraint comprises:
wherein, the formula (11) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not lower than the lower limit of the price of the grain sold by the energy coupling side to the energy demand side and is not higher than the upper limit of the price of the grain sold by the energy coupling side to the energy demand side, the formula (12) represents that the price of the grain sold by the energy coupling side to the energy demand side at the time t is not higher than the price of the grain sold by the energy supplier to the energy coupling side at the time t, and the formula (13) represents that the price of the grain purchased by the energy coupling side to the energy supplier at the time t is not lower than the price of the grain purchased by the energy supplier at the time t and is not higher than the price of the grain sold by the energy coupling side to the energy demand side at the time t;
the power balance constraints include:
the farm equipment output constraints include:
in the formula, k 1 And k 2 Show that energy coupling side carries out two kinds of forms in front and back that the form is transformed with the energy that the energy supply side provided, and the equipment of plant is shown to the equation, including lighting apparatus, light filling equipment, new trend equipment, heating equipment, refrigeration plant, humidifier, addA water changer and a feed processing and feeding machine,
represents an energy source of k 1 Conversion of form to k 2 The efficiency of the form of the conversion factor,
representing the output power of the energy source at the coupling side of the energy source,
and
respectively representing the minimum input power, the actual input power and the maximum input power of the energy source coupling side.
4. The intelligent yak breeding method in the entrusted service mode as claimed in claim 1, wherein,
the target function expression of the demand response model is as follows:
in the formula (I), the compound is shown in the specification,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment, the power demand of fresh air equipment, the power demand of refrigeration equipment, the power demand of a humidifier and the power demand of heating equipment which are fed back to the energy coupling side at the moment t by the energy demand sideThe required quantity of water source and the required feed,
and
respectively representing the power demand of illumination equipment, the power demand of light supplement equipment, the power demand of fresh air equipment, the power demand of refrigeration equipment, the power demand of a humidifier, the power demand of heating equipment, the power demand of a water source and the offset of feed demand at the moment t;
the constraints of the demand response model include:
wherein the content of the first and second substances,
and
respectively represents the power demand of the illumination equipment, the power demand of the light supplement equipment, the power demand of the fresh air equipment, the power demand of the refrigeration equipment, the power demand of the humidifier, the power demand of the heating equipment, the water source demand and the upper limit of the offset of the feed demand,
and
but represents illumination equipment power demand, light filling equipment power demand, new trend equipment power demand, refrigeration plant power demand, humidifier power demand, heating equipment power demand, water source demand and the offset lower limit of fodder demand respectively.
5. The intelligent yak breeding method according to claim 1, wherein the method for solving the energy supply model comprises the following steps: and solving by adopting an improved particle swarm optimization model, and taking the particle fitness as a benefit target of an energy supplier.
6. The intelligent yak breeding method as claimed in claim 1, wherein the service energy supply model and the demand response model are optimized by Yalmip modeling and Gurobi.
7. The utility model provides a yak wisdom farming systems which characterized in that includes:
the environment control equipment of the farm is used for controlling the breeding environment in the farm and carrying out automatic yak feeding operation;
the server is used for controlling the environment control equipment of the farm to work according to the final demand response scheme and the final supply scheme so as to carry out yak breeding operation;
the model building module is used for building an energy supply model with the maximum breeding profit as a target and a demand response model with the minimum breeding cost as a target;
the simulation transaction module is used for simulating a transaction process between the energy demand side and the energy supply side to obtain a final demand response scheme and a final supply scheme;
the simulated transaction module comprises:
the data acquisition unit is used for acquiring the energy purchase price provided by an energy supplier;
the energy supply model solving unit is used for carrying out model solving according to the demand response scheme fed back by the demand response model solving unit to obtain a supply scheme, and the supply scheme is sent to the demand response model solving unit;
the demand response model solving unit is used for carrying out model solving according to the supply scheme sent by the energy supply model solving unit to obtain a demand response scheme and feeding back the demand response scheme to the energy supply model solving unit;
and the execution control unit is used for controlling the energy supply model solving unit and the demand response model solving unit to work under a preset circulation cut-off condition, outputting a final demand response scheme and a final supply scheme, and sending the final demand response scheme and the final supply scheme to the server.
8. The intelligent yak breeding system of claim 7, wherein the farm environmental control equipment comprises: lighting equipment, light filling equipment, fresh air equipment, heating equipment, refrigeration equipment, humidifier, water adding/changing device and feed processing and putting machine.
9. The intelligent yak breeding system according to claim 7, wherein the simulation transaction module comprises:
the supply scheme generating unit is used for converting the result output by the energy supply model solving unit into a supply scheme;
and the demand response scheme generating unit is used for converting the result output by the demand response model solving unit into a demand response scheme.
10. The intelligent yak breeding system as claimed in claim 7, wherein the energy supply model solving unit comprises:
the model initialization unit is used for initializing the energy supply model according to the energy purchase price to obtain an initial supply scheme and reporting the initial supply scheme to the demand response model solving unit;
and the supply scheme adjusting unit is used for solving the energy supply model according to the current demand response scheme sent by the demand response model solving unit to obtain an adjusted supply scheme, and sending the adjusted supply scheme serving as an initial quotation scheme to the demand response model solving unit.
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