CN110504703B - Optimal selection method and device for energy station in distributed energy supply network - Google Patents
Optimal selection method and device for energy station in distributed energy supply network Download PDFInfo
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Abstract
The invention relates to a preferred method and device of energy source stations in a distributed energy source energy supply network, wherein the method comprises the following steps: determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input-side primary energy of various energy supply subsystems in the potential energy station; determining an available energy station group in the potential energy stations according to the maximum energy supply potential of the potential energy stations; and when the optimization index value between the available energy station group and the load center meets a preset condition, establishing an energy supply relationship between the available energy station group and the load center. According to the technical scheme provided by the invention, the network optimization is carried out on the distributed cold, heat and electricity hybrid energy station, so that the network construction cost of the hybrid energy station is improved to be optimal, and the total cost of construction, operation and maintenance, carbon emission and energy efficiency of the whole life cycle are optimal.
Description
Technical Field
The invention relates to the field of power network optimization, in particular to a method and a device for optimizing energy stations in a distributed energy supply network.
Background
With the global environment and energy situation becoming more severe, the power industry based on fossil energy faces significant challenges. Through the integrated planning design of various energy systems of cold, heat and electricity, a regional comprehensive energy system consisting of a distributed terminal comprehensive energy unit and a centralized energy supply network coupled with the distributed terminal comprehensive energy unit is constructed, and is a necessary choice for social development. The distributed Heat and cold electricity (CCHP) is a main form of distributed energy at home and abroad at present, and is widely applied to functional areas such as urban offices, residential areas, commercial areas and the like with high load density and intensive and economical utilization of land.
The commercial-residential mixed area integrates entertainment, service and living, is the most common community type in cities, is generally adjacent to or in the center of the city, has tense land, and has higher demand on electric energy and heat energy all year round. In the traditional planning, the energy supply relationship between the energy station and the load center in the distributed energy supply network is complex, the energy efficiency of the energy station is low, the emission is high, and the utilization efficiency of the energy station to energy is low. At present, a distributed energy planning method mainly comprises a pinch point analysis method and a mathematical planning method.
The pinch point analysis method is to represent the problem of energy planning by a source-trap mode and determine the quantity of carbon neutral or low-carbon energy under the condition of meeting the energy demand. This method allows the decision maker to understand the problem more intuitively, but pinch point analysis is limited to solving relatively simple problems, it does not give constraints in the planning exhaustively for highly integrated energy and demand, and it can only be used for single emissions targets, and furthermore, the accuracy of the results is highly dependent on the quality of the given pattern.
The mathematical programming method obtains a great result for the research of regional energy planning, but mainly focuses on foreign countries, and some mainly focuses on thermodynamic systems and electric power systems; some models are suitable for investment decision and operation planning, but none model comprehensively considers renewable energy sources and non-renewable energy sources, combines centralized energy conversion technology with distributed energy conversion technology and comprehensively plans for combined heat and power generation and cold generation, and various optimization modes are not available, so that one type of optimization is excellent, and the other type of optimization is not satisfactory.
Disclosure of Invention
The invention provides a method and a device for optimizing energy stations in a distributed energy supply network, and aims to improve the optimal network construction cost of a hybrid energy station and optimize the total construction, maintenance and operation cost, carbon emission and energy efficiency of a whole life cycle by adopting the method for optimizing the energy stations in the distributed energy supply network.
The purpose of the invention is realized by adopting the following technical scheme:
in a preferred method of energy stations in a distributed energy-powered network, the improvement comprising:
determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input-side primary energy of various energy supply subsystems in the potential energy station;
determining an available energy station group in the potential energy stations according to the maximum energy supply potential of the potential energy stations;
and when the optimization index value between the available energy station group and the load center meets a preset condition, establishing an energy supply relationship between the available energy station group and the load center.
Preferably, the determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input-side primary energy source of each type of energy supply subsystem in the potential energy station includes:
determining the maximum energy supply potential Q of the kth energy source of the e-th potential energy source station according to the following formula e,k_max ：
In the above formula, qin e,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith potential energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; e is an element of [1, W ]]W is the total number of potential energy stations; k is an energy type, k =1,2 or 3, k =1 is cold, k =2 is hot, k =3 is electricity; j is an element of [1, P ]]And P is the total number of powered subsystems in the potential power station.
Preferably, the determining the available energy source station group in the potential energy source stations according to the maximum energy supply potential of the potential energy source stations includes:
a. w potential energy stations and m load centers are arranged, and Z =1;
b. grouping the potential energy stations, wherein the number of the potential energy stations in each group is Z and is not repeated;
c. comparing whether the sum of the maximum energy supply potential of the potential energy stations in each group is smaller than the total load demand of the m load centers, if yes, executing the step e, and if not, executing the step d;
d. taking the potential energy station group with the maximum energy supply potential sum being more than or equal to the total load demand of the m load centers as an available energy station group, and finishing the operation;
e. enabling Z = Z +1, judging whether Z is larger than W, and if so, ending the operation; otherwise, returning to the step b.
Preferably, the optimization index value between the available energy station group and the load center includes: the energy efficiency between the available energy station group and the load center, and the carbon emission between the available energy station group and the load center.
Preferably, when the optimization index value between the available energy station group and the load center satisfies a preset condition, establishing an energy supply relationship between the available energy station group and the load center includes:
and if the economic cost between the available energy station group and the load center is smaller than a first threshold value, the energy efficiency between the available energy station group and the load center is larger than a second threshold value, and the carbon emission between the available energy station group and the load center is smaller than a third threshold value, establishing the energy supply relationship between the available energy station group and the load center.
Further, the economic cost F1 between the group of available energy stations and the load center is determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; k =1,2 or 3,k =1, the energy type is cold, k =2, the energy type is hot, k =3, the energy type is electricity; cini i,k Initial investment of kth type energy source of the ith available energy source station; co _ m i,k Temporarily taking out initial investment for the operation and maintenance cost of the kth type energy of the ith available energy station; cpump i,k The transportation and delivery cost of the kth type energy in the ith available energy station; cprod i,k Production cost of the kth class of energy for the ith available energy station; r is the annual rate of the bank; ntot is the life expectancy of the available energy station;
the energy efficiency F2 between the group of available energy stations and the load center is determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; j is an element of [1, P ]]And P is the total number of energy supply subsystems; k =1,2 or 3,k =1, the energy type is cold, k =2, the energy type is hot, k =3, the energy type is electricity; d j,k Is the total demand of the load center; p is i,j,k The power flow of the kth type energy source of the jth energy subsystem in the ith available energy station; p _ Coef i,k Energy efficiency of a kth energy source that is an ith available energy source station; location i The location of the ith available energy station; location j The location of the jth powered subsystem; pipe _ Info k,1 For the delivery of energy of the kth classPower transmission and consumption; eta pump The conveying efficiency of energy sources; price electricity Electricity prices for local industrial electricity;
carbon emissions F3 between the group of available energy stations and the load center are determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; j belongs to [1,P ]]And P is the total number of energy supply subsystems; k is an energy class, k =1,2 or 3,k =1 the energy class is cold, k =2 the energy class is hot, k =3 the energy class is electricity; p is i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Cost i,k,2 Carbon emissions of the kth energy source being the ith available energy source station.
Further, the initial investment Cini of the kth class of energy for the ith available energy station is determined as follows i,k ：
In the above equation, device _ Cost _ Avg _ P i,k,1 Average production Cost per capacity of class k energy sources for the ith available energy station, device _ Cost _ Avg _ P i,k,2 A correction factor for the averaged unit capacity of the kth energy source for the ith available energy station; pipe _ Info k,3 The construction cost of the kth energy source;
determining the operation and maintenance cost of the kth type energy of the ith available energy station according to the following formula, and temporarily taking out the initial investment Co _ m i,k ：
Co_m i,k ＝Ratio*Cini i,k
In the above formula, ratio is the Ratio of the initial investment of the kth type energy of the ith available energy station;
determining the production cost Cprod for the kth class of energy sources for the ith available energy station according to the following equation i,k ：
In the above formula, P _ Cost i,k,1 Production cost per capacity of a kth class of energy for an ith available energy station;
determining a transport transportation cost Cpump for a class k energy source for an ith available energy source station according to the following formula i,k ：
In the above formula, pipe _ Info k,3 The construction cost of the kth energy source; price electricity Electricity prices for local industrial electricity;
determining the total load center demand D of the kth energy source of the jth energy supply subsystem according to the following formula j,k ：
In the above formula, pipe _ Info k,2 A correction factor for a kth energy source;
determining the energy efficiency P _ Coef of the kth type energy source of the ith available energy source station according to the following formula i,k ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; coef j,k The energy efficiency of the k-type energy sources for the jth energy supply subsystem;
determining the carbon emission P _ Cost of the kth energy source of the ith available energy station according to i,k,2 ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem is improved; cost _ Carbon j,k,2 Carbon emissions for the kth energy source of the jth energy subsystem.
Further, the averaged production Cost per capacity Device _ Cost _ Avg _ P for the kth class of energy sources for the ith available energy station is determined as follows i,k,1 ：
In the above equation, device _ Cost _ Avg j,k,1 Average production cost per capacity for a kth energy source of a jth energy subsystem;
determining an averaged correction factor per unit capacity Device _ Cost _ Avg _ P for the k-th class of energy sources of the ith available energy station according to i,k,2 ：
In the above equation, device _ Cost _ Avg j,k,2 A correction factor for the averaged unit capacity of the kth energy source of the jth energy subsystem;
determining the production Cost per capacity P _ Cost of the kth class of energy sources for the ith available energy station as follows i,k,1
In the above formula, cost _ Price j,k,1 The cost of producing a unit of class k energy for the jth energy supply subsystem;
determining the energy efficiency Coef of k-type energy sources of the jth energy supply subsystem production unit according to the formula j,k ：
Determining the Carbon emission Cost _ Carbon of the k-type energy source of the j-th energy supply subsystem production unit according to the following formula j,k ：
In the above formula, carbon j And inputting the carbon emission coefficient of the primary side unit energy source of the j-th energy supply subsystem.
Further, the averaged unit capacity production Cost per unit energy source Device _ Cost _ Avg for the kth class of energy source for the jth energy subsystem is determined as follows j,k,1 ：
In the above formula, device _ Cost j,1 The production cost per unit capacity of the jth energy supply subsystem;
determining an averaged correction factor per unit volume, device _ Cost _ Avg, for the kth class of energy source of the jth energizing subsystem according to j,k,2 ：
In the above equation, device _ Cost j,2 A correction coefficient of the unit capacity of the jth energy supply subsystem;
determining Cost _ Price of k types of energy sources of the j th energy supply subsystem production unit according to the following formula j,k,1 ：
Price in the above formula j And inputting the price cost of energy for the primary side unit of the jth energy supply subsystem.
In a preferred arrangement of energy stations in a distributed energy-powered network, the improvement wherein said arrangement comprises:
the first determining unit is used for determining the maximum energy supply potential of the potential energy station according to the upper power limit of the input-side primary energy sources of the energy supply subsystems in the potential energy station;
a second determining unit, configured to determine an available energy source station group in the potential energy source stations according to the maximum energy supply potential of the potential energy source stations;
and the construction unit is used for establishing the energy supply relation between the available energy station group and the load center when the optimization index value between the available energy station group and the load center meets the preset condition.
The invention has the beneficial effects that:
according to the technical scheme provided by the invention, the available energy station group in the potential energy station is determined according to the maximum energy supply potential of the potential energy station, and when the optimization index value between the available energy station group and the load center meets the preset condition, the energy supply relation between the available energy station group and the load center is established, so that the network optimization time of the energy station and the load center is reduced to be within 1 minute, and the energy supply relation between the energy station and the load center is rapidly determined. Furthermore, according to the technical scheme provided by the invention, on one hand, the aspects of a load center, pipeline construction cost, operation and maintenance cost, transportation cost and the like are comprehensively considered, the cost is optimized, and the cost is reduced; on the other hand, by considering pipeline transmission efficiency, energy conversion efficiency and the like, the energy utilization efficiency is greatly improved, and the transportation loss is reduced; and finally, by considering the carbon emission coefficient of each energy source, selecting the energy source with the low carbon emission coefficient as far as possible, and reducing the carbon emission.
Drawings
FIG. 1 is a flow chart of a preferred method of energy stations in a distributed energy-powered network of the present invention;
fig. 2 is a schematic diagram of a preferred arrangement of energy stations in a distributed energy supply network according to the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention provides a preferable method of energy stations in a distributed energy supply network, as shown in fig. 1, comprising:
101. determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input side primary energy of each type of energy supply subsystem in the potential energy station;
102. determining an available energy station group in the potential energy stations according to the maximum energy supply potential of the potential energy stations;
103. and when the optimization index value between the available energy station group and the load center meets a preset condition, establishing an energy supply relation between the available energy station group and the load center.
Further, the step 101 includes:
determining the maximum energy supply potential Q of the kth energy source of the e-th potential energy source station according to the following formula e,k_max ：
In the above formula, qin e,j The upper power limit of the input side primary energy source of the jth energy supply subsystem in the ith potential energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; e is an element of [1, W ]]W is the total number of potential energy stations; k is an energy class, k =1,2 or 3,k =1 the energy class is cold, k =2 the energy class is hot, k =3 the energy class is electricity; j belongs to [1,P ]]And P is the total number of powered subsystems in the potential power station.
Further, after determining the maximum energy supply potential of the potential energy station according to the upper power limit of the input-side primary energy source of each type of energy supply subsystem in the potential energy station, the step 102 includes:
a. w potential energy stations and m load centers are arranged, and Z =1 is set;
b. grouping the potential energy stations, wherein the number of the potential energy stations in each group is Z and is not repeated;
c. comparing whether the sum of the maximum energy supply potential of the potential energy stations in each group is smaller than the total load demand of the m load centers, if yes, executing the step e, and if not, executing the step d;
d. taking the potential energy station group with the maximum energy supply potential sum being more than or equal to the total load demand of the m load centers as an available energy station group, and finishing the operation;
e. enabling Z = Z +1, judging whether Z is larger than W, and if so, ending the operation; otherwise, returning to the step b.
Further, the optimization index value between the available energy station group and the load center comprises: the energy efficiency between the available energy station group and the load center, and the carbon emission between the available energy station group and the load center.
Further, after determining the available energy source station group in the potential energy source stations according to the maximum energy supply potential of the potential energy source stations, the step 103 includes:
and if the economic cost between the available energy station group and the load center is smaller than a first threshold value, the energy efficiency between the available energy station group and the load center is larger than a second threshold value, and the carbon emission between the available energy station group and the load center is smaller than a third threshold value, establishing the energy supply relationship between the available energy station group and the load center.
Specifically, the economic cost F1 between the available energy station group and the load center is determined as follows:
upper typeIn which i is e [1, N ∈ ]]N is the total number of available energy stations in the group of available energy stations; k =1,2 or 3,k =1 the energy type is cold, k =2 the energy type is hot, k =3 the energy type is electricity; cini i,k Initial investment of kth type energy source of the ith available energy source station; co _ m i,k Temporarily taking out initial investment for the operation and maintenance cost of the kth type energy of the ith available energy station; cpump i,k The transportation and transportation cost of the kth type energy in the ith available energy station; cprod i,k Production cost of the kth class of energy for the ith available energy station; r is the annual interest rate of the bank; ntot is the life expectancy age of the available energy station;
the energy efficiency F2 between the available energy station group and the load center is determined according to the following formula:
in the above formula, i is E [1, N]N is the total number of available energy stations in the group of available energy stations; j belongs to [1,P ]]P is the total number of energized subsystems; k =1,2 or 3,k =1, the energy type is cold, k =2, the energy type is hot, k =3, the energy type is electricity; d j,k Is the total demand of the load center; p i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Coef i,k Energy efficiency of a kth energy source that is the ith available energy source station; location i The location of the ith available energy station; location j The location of the jth powered subsystem; pipe _ Info k,1 Power consumption for delivery of a kth energy source; eta pump The conveying efficiency of energy sources; price electricity Electricity prices for local industrial electricity;
carbon emissions F3 between the group of available energy stations and the load center are determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; j is an element of [1, P ]]P is an energy supplierThe total number of systems; k is an energy type, k =1,2 or 3, k =1 is cold, k =2 is hot, k =3 is electricity; p is i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Cost i,k,2 Carbon emissions of the kth energy source being the ith available energy source station.
Specifically, the initial investment Cini of the kth type of energy source of the ith available energy source station is determined according to the following formula i,k ：
In the above equation, device _ Cost _ Avg _ P i,k,1 Average production Cost per capacity of class k energy sources for the ith available energy station, device _ Cost _ Avg _ P i,k,2 A correction factor per unit capacity for the average of the kth class of energy sources for the ith available energy station; pipe _ Info k,3 The construction cost of the kth energy source;
determining the operation and maintenance cost of the kth type energy of the ith available energy station according to the following formula, and temporarily taking out the initial investment Co _ m i,k ：
Co_m i,k ＝Ratio*Cini i,k
In the above formula, ratio is the Ratio of the initial investment of the kth type energy of the ith available energy station;
determining the production cost Cprod for the kth class of energy sources for the ith available energy station according to the following equation i,k ：
In the above formula, P _ Cost i,k,1 Production cost per capacity of a kth class of energy for an ith available energy station;
determining a transport transportation cost Cpump for a kth energy source of an ith available energy source station by i,k ：
In the above formula, pipe _ Info k,3 The construction cost of the kth energy source; price electricity Electricity prices for local industrial electricity;
determining the total load center demand D of the kth energy source of the jth energy supply subsystem according to the following formula j,k ：
In the above formula, pipe _ Info k,2 A correction factor for a kth energy source;
determining the energy efficiency P _ Coef of the kth type energy source of the ith available energy source station according to the following formula i,k ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem is improved; coef j,k The energy efficiency of the k-type energy sources for the jth energy supply subsystem;
determining the carbon emission P _ Cost of the kth energy source of the ith available energy station according to i,k,2 ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem is improved; cost _ Carbon j,k,2 Carbon emissions for the kth energy source of the jth energy subsystem.
Specifically, the averaged production Cost per capacity Device _ Cost _ Avg _ P for the kth class of energy sources for the ith available energy station is determined as follows i,k,1 ：
In the above equation, device _ Cost _ Avg j,k,1 Average production cost per capacity for a kth energy source of a jth energy subsystem;
determining an averaged correction factor per unit capacity Device _ Cost _ Avg _ P for the k-th class of energy sources of the ith available energy station according to i,k,2 ：
In the above equation, device _ Cost _ Avg j,k,2 A correction factor for the averaged unit capacity of the kth energy source of the jth energy subsystem;
determining the production Cost per capacity P _ Cost of the kth class of energy sources for the ith available energy station as follows i,k,1
In the above formula, cost _ Price j,k,1 The cost of producing a unit of k-type energy for the jth energy supply subsystem;
determining the energy efficiency Coef of k-type energy sources of the jth energy supply subsystem production unit according to the formula j,k ：
Determining the Carbon emission Cost _ Carbon of the k-type energy source of the j-th energy supply subsystem production unit according to the following formula j,k ：
In the above formula, carbon j Inputting energy for primary side unit of j-th energy supply subsystemCarbon emission coefficient of the source.
Specifically, the averaged unit volume production Cost of the kth class energy source of the jth powered subsystem, device _ Cost _ Avg, is determined as follows j,k,1 ：
In the above equation, device _ Cost j,1 The production cost per unit capacity of the jth energy supply subsystem;
determining an averaged unit capacity correction factor, device _ Cost _ Avg, for the kth class of energy source of the jth energy subsystem as follows j,k,2 ：
In the above equation, device _ Cost j,2 A correction coefficient of the unit capacity of the jth energy supply subsystem;
determining Cost _ Price of k types of energy sources of the j th energy supply subsystem production unit according to the following formula j,k,1 ：
Price in the above formula j And the price cost of primary side unit input energy of the jth energy supply subsystem is saved.
The invention also provides a preferred device of energy stations in a distributed energy supply network, as shown in fig. 2, the device comprises:
the first determining unit is used for determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input side primary energy of each type of energy supply subsystem in the potential energy station;
a second determining unit, configured to determine an available energy source station group in the potential energy source stations according to the maximum energy supply potential of the potential energy source stations;
and the construction unit is used for establishing the energy supply relation between the available energy station group and the load center when the optimization index value between the available energy station group and the load center meets the preset condition.
Further, the first determining unit is configured to:
determining the maximum energy supply potential Q of the kth energy source of the e-th potential energy source station according to the following formula e,k_max ：
In the above formula, qin e,j The upper power limit of the input side primary energy source of the jth energy supply subsystem in the ith potential energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; e is an element of [1, W ]]W is the total number of potential energy stations; k is an energy type, k =1,2 or 3, k =1 is cold, k =2 is hot, k =3 is electricity; j is an element of [1, P ]]And P is the total number of powered subsystems in the potential power station.
Further, the second determining unit is configured to:
a. w potential energy stations and m load centers are arranged, and Z =1;
b. grouping the potential energy stations, wherein the number of the potential energy stations in each group is Z and is not repeated;
c. comparing whether the sum of the maximum energy supply potential of the potential energy stations in each group is smaller than the total load demand of the m load centers, if yes, executing the step e, and if not, executing the step d;
d. taking the potential energy station group with the maximum energy supply potential sum being more than or equal to the total load demand of the m load centers as an available energy station group, and finishing the operation;
e. enabling Z = Z +1, judging whether Z is larger than W, and if so, ending the operation; otherwise, returning to the step b.
Further, the optimization index value between the available energy station group and the load center includes: the energy efficiency between the available energy station group and the load center, and the carbon emission between the available energy station group and the load center.
Further, the building unit is configured to:
and if the economic cost between the available energy station group and the load center is smaller than a first threshold value, the energy efficiency between the available energy station group and the load center is larger than a second threshold value, and the carbon emission between the available energy station group and the load center is smaller than a third threshold value, establishing the energy supply relationship between the available energy station group and the load center.
Specifically, the building unit includes:
a first determining module for determining an economic cost F1 between the group of available energy stations and the load center according to the following formula:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; k =1,2 or 3,k =1 the energy type is cold, k =2 the energy type is hot, k =3 the energy type is electricity; cini i,k Initial investment of kth type energy source of the ith available energy source station; co _ m i,k Temporarily taking out initial investment for the operation and maintenance cost of the kth type energy of the ith available energy station; cpump i,k The transportation and transportation cost of the kth type energy in the ith available energy station; cprod i,k Production cost of a kth class of energy for an ith available energy station; r is the annual rate of the bank; ntot is the life expectancy of the available energy station;
a second determining module, configured to determine an energy efficiency F2 between the available energy station group and the load center according to the following formula:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; j is an element of [1, P ]]P is the total number of energized subsystems; k =1,2 or 3,k =1 the energy type is cold, k =2 the energy type is hot, k =3 the energy type is electricity; d j,k Is the total demand of the load center; p is i,j,k The power flow of the kth type energy source of the jth energy subsystem in the ith available energy station; p _ Coef i,k Energy efficiency of a kth energy source that is an ith available energy source station; location i The location of the ith available energy station; location j The position of the jth energized subsystem; pipe _ Info k,1 Power consumption for delivery of a kth class of energy; eta pump The conveying efficiency of energy is obtained; price electricity Electricity prices for local industrial electricity;
a third determination module to determine a carbon emission F3 between the set of available energy stations and the load center according to the following equation:
in the above formula, i is E [1, N]N is the total number of available energy stations in the group of available energy stations; j is an element of [1, P ]]P is the total number of energized subsystems; k is an energy class, k =1,2 or 3,k =1 the energy class is cold, k =2 the energy class is hot, k =3 the energy class is electricity; p i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Cost i,k,2 Carbon emissions of a kth energy source that is the ith available energy station.
Specifically, the initial investment Cini of the kth class of energy for the ith available energy station is determined as follows ik ：
In the above equation, device _ Cost _ Avg _ P i,k,1 Average production Cost per unit volume for the kth class of energy of the ith available energy station, device _ Cost _ Avg _ P i,k,2 A correction factor for the averaged unit capacity of the kth energy source for the ith available energy station; pipe _ Info k,3 The construction cost of the kth energy source;
determining the operation and maintenance cost of the kth type energy of the ith available energy station according to the following formula, and temporarily taking out the initial investment Co _ m i,k ：
Co_m i,k ＝Ratio*Cini i,k
In the above formula, ratio is the Ratio of the initial investment of the kth type energy of the ith available energy station;
determining the production cost Cprod for the kth class of energy sources for the ith available energy station according to the following equation i,k ：
In the above formula, P _ Cost i,k,1 Production cost per capacity of a kth class of energy source for the ith available energy source station;
determining a transport transportation cost Cpump for a kth energy source of an ith available energy source station by i,k ：
In the above formula, pipe _ Info k,3 The construction cost of the kth energy source; price electricity Electricity prices for local industrial electricity;
determining the total load center demand D of the kth energy source of the jth energy supply subsystem according to the following formula j,k ：
In the above formula, pipe _ Info k,2 A correction factor for a kth energy source;
the energy efficiency P _ Coef of the kth type energy source of the ith available energy source station is determined as follows i,k ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k Is as followsThe conversion efficiency of kth energy sources of j energy supply subsystems; coef j,k The energy efficiency of the k-type energy sources for the jth energy supply subsystem;
determining the carbon emission P _ Cost of the kth energy source of the ith available energy station according to i,k,2 ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; cost _ Carbon j,k,2 Carbon emissions for the kth energy source of the jth energy subsystem.
Specifically, the averaged production Cost per capacity Device _ Cost _ Avg _ P for the kth class of energy sources for the ith available energy station is determined as follows i,k,1 ：
In the above equation, device _ Cost _ Avg j,k,1 Average production cost per unit capacity for a kth energy source of a jth energy-providing subsystem;
determining an averaged correction factor per capacity Device _ Cost _ Avg _ P for the kth class of energy sources for the ith available energy station as follows i,k,2 ：
In the above equation, device _ Cost _ Avg j,k,2 A correction factor for the averaged unit capacity of the kth energy source of the jth energy subsystem;
determining the production Cost per capacity P _ Cost of the kth class of energy sources for the ith available energy station as follows i,k,1
In the above formula, cost _ Price j,k,1 The cost of producing a unit of class k energy for the jth energy supply subsystem;
determining the energy efficiency Coef of k-type energy sources of the j-th energy supply subsystem production unit according to the following formula j,k ：
Determining the Carbon emission Cost _ Carbon of the k-type energy source of the j-th energy supply subsystem production unit according to the following formula j,k ：
In the above formula, carbon j And inputting the carbon emission coefficient of the primary side unit energy source of the j-th energy supply subsystem.
Wherein the averaged unit capacity production Cost per unit energy source Device _ Cost _ Avg for the kth class of energy source of the jth energy subsystem is determined as follows j,k,1 ：
In the above equation, device _ Cost j,1 The production cost per unit capacity of the jth energy supply subsystem;
determining an averaged unit capacity correction factor, device _ Cost _ Avg, for the kth class of energy source of the jth energy subsystem as follows j,k,2 ：
In the above formula, device _ Cost j,2 The correction coefficient is the unit capacity of the jth energy supply subsystem;
determining Cost _ Price of k types of energy sources of the j th energy supply subsystem production unit according to the following formula j,k,1 ：
Price in the above formula j And the price cost of primary side unit input energy of the jth energy supply subsystem is saved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: although the present invention has been described in detail with reference to the above embodiments, it should be understood by those skilled in the art that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (6)
1. A preferred method of energy stations in a distributed energy-powered network, the method comprising:
determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input side primary energy of each type of energy supply subsystem in the potential energy station;
determining an available energy station group in the potential energy stations according to the maximum energy supply potential of the potential energy stations;
when the optimization index value between the available energy station group and the load center meets a preset condition, establishing an energy supply relation between the available energy station group and the load center;
the method for determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input-side primary energy sources of various energy supply subsystems in the potential energy station comprises the following steps:
determining the maximum energy supply potential Q of the kth energy source of the e-th potential energy source station according to the following formula e,k_max ：
In the above formula, qin e,j The upper power limit of the input side primary energy source of the jth energy supply subsystem in the ith potential energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; e is an element of [1, W ]]W is the total number of potential energy stations; k is an energy class, k =1,2 or 3,k =1 the energy class is cold, k =2 the energy class is hot, k =3 the energy class is electricity; j belongs to [1,P ]]P is the total number of powered subsystems in the potential power station;
the determining the available energy source station group in the potential energy source stations according to the maximum energy supply potential of the potential energy source stations comprises:
a. w potential energy stations and m load centers are arranged, and Z =1;
b. grouping the potential energy stations, wherein the number of the potential energy stations in each group is Z and is not repeated;
c. comparing whether the sum of the maximum energy supply potentials of the potential energy stations in each group is smaller than the total load demand of the m load centers, if so, executing the step e, otherwise, executing the step d;
d. taking the potential energy station group with the maximum energy supply potential sum being more than or equal to the total load demand of the m load centers as an available energy station group, and finishing the operation;
e. enabling Z = Z +1, judging whether Z is larger than W, and if so, ending the operation; otherwise, returning to the step b;
the optimization index value between the available energy station group and the load center comprises the following steps: the economic cost between the available energy station group and the load center, the energy efficiency between the available energy station group and the load center, and the carbon emission between the available energy station group and the load center;
when the optimization index value between the available energy station group and the load center meets a preset condition, establishing an energy supply relationship between the available energy station group and the load center, including:
and if the economic cost between the available energy station group and the load center is smaller than a first threshold value, the energy efficiency between the available energy station group and the load center is larger than a second threshold value, and the carbon emission between the available energy station group and the load center is smaller than a third threshold value, establishing the energy supply relationship between the available energy station group and the load center.
2. The method of claim 1, wherein the economic cost F1 between the set of available energy stations and the load center is determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; k =1,2 or 3,k =1, the energy type is cold, k =2, the energy type is hot, k =3, the energy type is electricity; cini i,k Initial investment of kth type energy source of the ith available energy source station; co _ m i,k Temporarily taking out initial investment for the operation and maintenance cost of the kth type energy of the ith available energy station; cpump i,k The transportation and delivery cost of the kth type energy in the ith available energy station; cprod i,k Production cost of the kth class of energy for the ith available energy station; r is the annual rate of the bank; ntot is the life expectancy of the available energy station;
the energy efficiency F2 between the group of available energy stations and the load center is determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the set of available energy stations; j belongs to [1,P ]]P is the total number of energized subsystems; k =1,2 or 3,k =1, the energy type is cold, k =2, the energy type is hot, k =3, the energy type is electricity; d j,k Is the total demand of the load center; p i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Coef i,k Energy efficiency of a kth energy source that is the ith available energy source station; location i The location of the ith available energy station; location j The location of the jth powered subsystem; pipe _ Info k,1 Power consumption for delivery of a kth energy source; eta pump The conveying efficiency of energy is obtained; price electricity Electricity prices for local industrial electricity;
carbon emissions F3 between the group of available energy stations and the load center are determined as follows:
in the above formula, i is E [1, N]N is the total number of available energy stations in the group of available energy stations; j is an element of [1, P ]]P is the total number of energized subsystems; k is an energy type, k =1,2 or 3, k =1 is cold, k =2 is hot, k =3 is electricity; p is i,j,k The power flow of the kth energy source of the jth energy supply subsystem in the ith available energy source station; p _ Cost i,k,2 Carbon emissions of a kth energy source that is the ith available energy station.
3. The method of claim 2, wherein the initial investment Cini for the kth energy source of the ith available energy source station is determined by the following equation i,k ：
In the above equation, device _ Cost _ Avg _ P i,k,1 Average production Cost per capacity of class k energy sources for the ith available energy station, device _ Cost _ Avg _ P i,k,2 A correction factor per unit capacity for the average of the kth class of energy sources for the ith available energy station; pipe _ Info k,3 The construction cost of the kth energy source;
determining the operation and maintenance cost of the kth type energy of the ith available energy station according to the following formula, and temporarily taking out the initial investment Co _ m i,k ：
Co_m i,k ＝Ratio*Cini i,k
In the above formula, ratio is the Ratio of the initial investment of the kth type energy of the ith available energy station;
the ith available energy is determined as followsProduction cost of class k energy from source station, cprod i,k ：
In the above formula, P _ Cost i,k,1 Production cost per capacity of a kth class of energy source for the ith available energy source station;
determining a transport transportation cost Cpump for a class k energy source for an ith available energy source station according to the following formula i,k ：
In the above formula, pipe _ Info k,3 The construction cost of the kth energy source; price electricity Electricity prices for local industrial electricity;
determining the total load center demand D of the kth energy source of the jth energy supply subsystem according to the following formula j,k ：
In the above formula, pipe _ Info k,2 A correction factor for a kth energy source;
determining the energy efficiency P _ Coef of the kth type energy source of the ith available energy source station according to the following formula i,k ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem; coef j,k The energy efficiency of k types of energy in a unit is produced for the jth energy supply subsystem;
determining the ith available energy station as followsCarbon emission P _ Cost of the kth energy source of (1) i,k,2 ：
In the above formula, qin i,j The power upper limit of the input side primary energy source of the jth energy supply subsystem in the ith available energy source station; eta j,k The conversion efficiency of the kth energy source of the jth energy supply subsystem is improved; cost _ Carbon j,k,2 Carbon emissions for the kth energy source of the jth energy subsystem.
4. The method of claim 3, wherein the averaged production Cost per capacity Device _ Cost _ Avg _ P for the kth class of energy sources of the ith available energy station is determined as follows i,k,1 ：
In the above equation, device _ Cost _ Avg j,k,1 Average production cost per unit capacity for a kth energy source of a jth energy-providing subsystem;
determining an averaged correction factor per capacity Device _ Cost _ Avg _ P for the kth class of energy sources for the ith available energy station as follows i,k,2 ：
In the above equation, device _ Cost _ Avg j,k,2 A correction factor for the averaged unit capacity of the kth energy source of the jth energy subsystem;
determining the production Cost per capacity P _ Cost of the kth class of energy sources for the ith available energy station as follows i,k,1
In the above formula, cost _ Price j,k,1 The cost of producing a unit of class k energy for the jth energy supply subsystem;
determining the energy efficiency Coef of k-type energy sources of the j-th energy supply subsystem production unit according to the following formula j,k ：
Determining the Carbon emission Cost _ Carbon of the k-type energy source of the j-th energy supply subsystem production unit according to the following formula j,k ：
In the above formula, carbon j And inputting the carbon emission coefficient of the primary side unit energy source of the j-th energy supply subsystem.
5. The method of claim 4, wherein the averaged production Cost per capacity Device _ Cost _ Avg for the kth class of energy source for the jth powered subsystem is determined as follows j,k,1 ：
In the above equation, device _ Cost j,1 The production cost per unit capacity of the jth energy supply subsystem;
determining an averaged unit capacity correction factor, device _ Cost _ Avg, for the kth class of energy source of the jth energy subsystem as follows j,k,2 ：
In the above equation, device _ Cost j,2 Is the jthThe correction coefficient of the unit capacity of the energy supply subsystem;
determining Cost _ Price of k types of energy sources of the j th energy supply subsystem production unit according to the following formula j,k,1 ：
Price in the above formula j And the price cost of primary side unit input energy of the jth energy supply subsystem is saved.
6. An arrangement for performing the preferred method of energy stations in a distributed energy powered network as claimed in any one of claims 1 to 5, characterized in that the arrangement comprises:
the first determining unit is used for determining the maximum energy supply potential of the potential energy station according to the power upper limit of the input side primary energy of each type of energy supply subsystem in the potential energy station;
a second determining unit, configured to determine an available energy station group in the potential energy stations according to the maximum energy supply potential of the potential energy stations;
and the construction unit is used for establishing the energy supply relationship between the available energy station group and the load center when the optimization index value between the available energy station group and the load center meets the preset condition.
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