CN109657984A - Optimization Scheduling, device, electronic equipment and the storage medium of energy resource system - Google Patents

Optimization Scheduling, device, electronic equipment and the storage medium of energy resource system Download PDF

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CN109657984A
CN109657984A CN201811566606.6A CN201811566606A CN109657984A CN 109657984 A CN109657984 A CN 109657984A CN 201811566606 A CN201811566606 A CN 201811566606A CN 109657984 A CN109657984 A CN 109657984A
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energy resource
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孙宏斌
郭庆来
王彬
沈欣炜
秦鑫
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Tsinghua Berkeley Shenzhen College Preparatory Office
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Abstract

The present embodiments relate to a kind of Optimization Scheduling of energy resource system, device, electronic equipment and storage mediums.The Optimization Scheduling of energy resource system includes: the Optimal Operation Model for establishing cogeneration integrated energy system;The Optimal Operation Model is solved using Decomposition iteration method;Management is scheduled to the cogeneration integrated energy system according to solving result.Technical solution provided by the embodiment of the present invention, realizing reduces distributed busbar protection operating cost, improves benefit, reduces the effect of disposal of pollutants.

Description

Optimization Scheduling, device, electronic equipment and the storage medium of energy resource system
Technical field
The present embodiments relate to the excellent of the operation of integrated energy system and control field more particularly to a kind of energy resource system Change dispatching method, device, electronic equipment and storage medium.
Background technique
Cogeneration system can reduce operating cost, improve efficiency, reduce pollutant emission.With photovoltaic, wind-powered electricity generation and small Micro- CHP (cogeneration) unit can provide low cost for the distributed energy of representative for integrated energy system, flexibility height, supply The high-quality energy supply of energy, at home and abroad causes larger concern.Chinese Academy of Engineering suggests that eastern region uses distributed energy Substitution AC extra high voltage stand to meet growing use energy demand, Shandong, Guangdong Power Grid start application distribution formula energy source station and mentions Cooling supply heat and power supply;Britain proposes " a hundred flowers blossom " (thousand flowers) plan, using distributed small in power distribution network Micro- CHP unit energy supply is to reduce greenhouse gas emission.Therefore, the background of integrated energy system is accessed extensively in distributed busbar protection Under, it is necessary to scheduling is optimized for distributed busbar protection, to improve economy, efficiency and environmental benefit.
But the optimization method of the integrated energy system distributed busbar protection of current cogeneration has the following problems: first is that passing The Optimized Operation of integrated energy system distributed busbar protection of uniting divides electric system and heating system, the respective energy of single optimization System can not obtain the optimal of overall efficiency.Second is that seldom considering distributed energy when existing integrated energy system Optimized Operation It stands, but is energized in a system using centralized heat source, be unable to give full play integrated energy system in cost and efficiency Advantage.Even if also having made larger simplification to model third is that the optimization of existing integrated energy system considers distributed busbar protection, The network constraint of power grid, heat supply network is not accounted for, heat supply network dynamic process is not accounted for yet, model inaccuracy is unable to reach expected effect Benefit.Fourth is that electric system is especially paid attention in the optimization of existing integrated energy system, and it is inadequate to heating system attention degree, do not examine Consider the labyrinth of heat supply network, the case where not accounting for changeable flow adjustment, does not also account for heat supply network time delay effect, synthesis can not be obtained The comprehensive benefit of energy resource system.Generally speaking, existing Optimum Scheduling Technology, which is difficult to meet, both at home and abroad accesses distributed busbar protection The benefit requirement of integrated energy system.
Summary of the invention
The embodiment of the present invention provides Optimization Scheduling, device, electronic equipment and the storage medium of a kind of energy resource system, with Distributed busbar protection operating cost is reduced, is improved benefit, disposal of pollutants is reduced.
In a first aspect, the embodiment of the invention provides a kind of Optimization Schedulings of energy resource system, this method comprises:
Establish the Optimal Operation Model of cogeneration integrated energy system;
The Optimal Operation Model is solved using Decomposition iteration method;
Management is scheduled to the cogeneration integrated energy system according to solving result.
Second aspect, the embodiment of the present invention also provide a kind of Optimized Operation device of energy resource system, which includes:
Model construction module, for establishing the Optimal Operation Model of cogeneration integrated energy system;
Model solution module, for being solved using Decomposition iteration method to the Optimal Operation Model;
Dispatching management module, for being scheduled management to the cogeneration integrated energy system according to solving result.
The third aspect, the embodiment of the present invention also provide a kind of electronic equipment, including memory, processing unit and are stored in On reservoir and the computer program that can run in processing unit, the processing unit realize this when executing the computer program The Optimization Scheduling of energy resource system provided by invention first aspect embodiment.
Fourth aspect, the embodiment of the present invention also provide a kind of computer readable storage medium, are stored thereon with computer journey Sequence, it is characterised in that: realized provided by first aspect present invention embodiment when the computer program is executed by processing unit The Optimization Scheduling of energy resource system.
Compared with prior art, the embodiment of the present invention is by providing the Optimization Scheduling, device, electricity of a kind of energy resource system Sub- equipment and storage medium establish the Optimal Operation Model of cogeneration integrated energy system, using Decomposition iteration method to institute It states Optimal Operation Model to be solved, management is scheduled to the cogeneration integrated energy system according to solving result.Solution The Optimized Operation of certainly traditional integrated energy system distributed busbar protection is unable to reach the technology of total optimization on cost and benefit Problem, realizing reduces distributed busbar protection operating cost, improves benefit, reduces the effect of disposal of pollutants.
Detailed description of the invention
Fig. 1 is the flow diagram of the Optimization Scheduling for the energy resource system that first embodiment of the invention provides;
Fig. 2 is the feasible zone schematic diagram of extraction condensing type CHP unit of the present invention;
Fig. 3 is the physical schematic of heat transfer formula after difference of the present invention;
Fig. 4 is the flow diagram of the Optimization Scheduling for the energy resource system that second embodiment of the invention provides;
Fig. 5 is hierarchical algorithm case application schematic diagram of the present invention;
Fig. 6 is the flow diagram of the Optimization Scheduling for the energy resource system that third embodiment of the invention provides;
Fig. 7 is the modular structure schematic diagram of the Optimized Operation device of energy resource system provided by the invention;
Fig. 8 is the structural schematic diagram of electronic equipment provided by the invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched The specific embodiment stated is used only for explaining the present invention rather than limiting the invention.It also should be noted that in order to just Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It should be mentioned that some exemplary embodiments are described as before exemplary embodiment is discussed in greater detail The processing or method described as flow chart.Although each step is described as the processing of sequence by flow chart, many of these Step can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of each step can be rearranged.When its operation The processing can be terminated when completion, it is also possible to have the additional step being not included in attached drawing.The processing can be with Corresponding to method, function, regulation, subroutine, subprogram etc..
In addition, term " first ", " second " etc. can be used to describe herein various directions, movement, step or element etc., But these directions, movement, step or element should not be limited by these terms.These terms are only used to by first direction, movement, step Rapid or element and another direction, movement, step or element are distinguished.For example, the case where not departing from scope of the present application Under, it can be second speed difference by First Speed difference, and similarly, it is poor second speed difference can be known as First Speed Value.First Speed difference and second speed difference both speed difference, but it is not same speed difference.Term " the One ", " second " etc. is not understood to indicate or imply relative importance or implicitly indicates the number of indicated technical characteristic Amount." first " is defined as a result, the feature of " second " can explicitly or implicitly include one or more of the features. In the description of the present invention, the meaning of " plurality " is at least two, such as two, three etc., unless otherwise clearly specific limit It is fixed.
Referring to Fig. 1, first embodiment of the invention provides a kind of Optimization Scheduling of energy resource system, the energy resource system Optimization Scheduling can be executed by the Optimized Operation device of energy resource system, which can pass through the side of hardware and/or software Formula is realized, and is typically integrated into server, such as is supported in the business platform server of certain application software, for reducing point Cloth energy source station operating cost, improves benefit, and reduces disposal of pollutants.The Optimization Scheduling of the energy resource system includes:
S110: the Optimal Operation Model of cogeneration integrated energy system is established;
The present invention proposes a kind of Optimization Scheduling of distributed busbar protection in the integrated energy system for cogeneration, The Optimal Operation Model of cogeneration integrated energy system is initially set up, which has the following characteristics that 1, in electricity In the integrated energy system of thermal coupling, joint optimal operation electric system and heating system;2, distributed busbar protection is considered Access;3, the network constraint of power grid and heat supply network is considered;4, the dynamic process of heating system is considered, it is contemplated that existing for heat supply network Labyrinth and changeable flow adjustment mode.
Step S110 includes following sub-step:
S111: the optimization aim model of cogeneration integrated energy system is established;
The objective function of optimization aim model includes but is not limited to minimize economic cost, and objective function is as follows:
Wherein, fI, t=c (pI, t, φI, t) it is cost of i-th of distributed busbar protection in t moment, fGrid, tIt is comprehensive energy Expense of the system to external electrical network purchase electric energy.T is total time section (a), and G is distributed busbar protection quantity (a).
The Cost Function Model of distributed busbar protection is as follows:
Wherein, aJ, i(j=0,1,2,3,4,5) is the cost coefficient of distributed busbar protection, is determined by distributed busbar protection itself It is fixed.It is electrical power of i-th of distributed busbar protection in t moment,It is hot merit of i-th of distributed busbar protection in t moment Rate.Need to illustrate: the form of the cost of distributed busbar protection not necessarily formula (2), the form be distributed busbar protection at This common description method.
S112: the electric power system model of cogeneration integrated energy system is established;
Electric system needs to guarantee the equilibrium of supply and demand of electric energy, i.e., the sum of distributed energy electrical power and load in electric system The difference of the sum of the electrical power of consumption should be 0, and corresponding formula is as follows:
Wherein,It is the electrical power that i-th of load is consumed in t moment.
Due to being limited by Heat transmission distance, integrated energy system scale generally in power distribution network rank, is pacified for safeguards system Row for the national games needs to limit line power no more than maximum value, and corresponding formula is as follows:
Wherein, SDL, jIt is the transfer ratio of transmission line of being connected with node i, FlIt is maximum power, LlineIt is all transmission lines Set, N is the set of all electrical nodes, i.e. N=G ∪ L, L are the set of electric load node.
Limited since energy source station electrical power is exported by energy source station itself, need to follow Climing constant, i.e., from the t-1 moment to For the changed power of t moment no more than certain limit, corresponding formula is as follows:
Wherein,It is the minimum value of i-th of distributed busbar protection creep speed,It is that i-th of distributed busbar protection is climbed The maximum value of slope rate.
Since energy source station electrical power is exported by energy source station itself capacity limit, it cannot infinitely increase or decrease, need to abide by Capacity-constrained is followed, corresponding formula is as follows:
Wherein,It is the minimum value of i-th of distributed busbar protection electrical power output,It is i-th of distributed busbar protection The maximum value of point power output.
Due to energy source station be CHP unit when, electric thermal power needs to meet certain relationship, for back pressure type CHP unit, electric work Rate and thermal power need to meet following constraint:
Wherein, ki、biFor the coefficient of i-th of distributed busbar protection.
For extraction condensing type unit, need to meet following constraint:
Wherein, RgIt is the two-dimensional space under cartesian coordinate system, indicates the feasible zone of CHP unit, as shown in Figure 2.
S113: the heating system model of cogeneration integrated energy system is established, wherein the heating system model includes Hydraulic system models and therrmodynamic system model.
Heating system includes Hydraulic Power System and therrmodynamic system two subsystems, since Hydraulic Power System reaches for several seconds after disturbance Stable state, therefore use steady-state model;Therrmodynamic system needs a few minutes to a few houres to can be only achieved stable state after disturbance, therefore uses Dynamic model.
1), hydraulic system models
The purpose of Hydraulic Power System is determining node and pipeline flow.Hydraulic Power System equation and electric system basic principle phase Seemingly, it is all based on Kirchhoff's law.For convenience, Hydraulic Power System network matrix A and circuit matrix B is defined.It is every in A matrix A element aijIs defined as:
Each element b in B matrixijIs defined as:
Each node flow meets the continuity law of water flow, i.e., for the arbitrary node in heating system, flows into the section The flow of point is equal to the flow for flowing out the node, and corresponding formula is as follows:
Wherein,It is pipeline flow, if the actual flow direction in certain root canal road is consistent with defined positive direction,For Just, it is otherwise negative.It is node flow, if outpouring node, is positive;If injecting node, it is negative.
Since heating system is there may be circuit heat supply, circuit follows loop pressure drop equation, i.e., entire Loop Water forces drop The sum of be 0, corresponding formula is as follows:
Bhk=0 (10)
Wherein, hkIt is the pressure drop vector of pipeline, pressure drop calculating follows crushing equation, i.e., to a segment pipe, pressure drop and flow Square directly proportional, corresponding formula is as follows:
Wherein, K is the damped coefficient matrix using pipeline, is determined by pipeline itself.
To guarantee stable operation, pipeline flow cannot exceed limit value, and corresponding formula is as follows:
Wherein,It is flow of i-th of water supply line in t moment,It is that every root canal road allows flow respectively Maximum value, minimum value.
2), therrmodynamic system model
The purpose of therrmodynamic system is to obtain temperature.In the adjustable heating system of flow, thermic load is by waterpower and heating power system System coupling, corresponding formula are as follows:
Wherein, φI, tFor node thermal power, including distributed energy tiny node thermal power and load bus thermal power. It is flow of i-th of node in t moment.WithIt is supply water temperature and return water temperature of i-th of node in t moment respectively. NhIndicate the set of all heating system nodes.
The heat supply network of heating system is made of pipeline interconnected, and since heating system uses dynamic model, there are the times Delay and temperature dynamic process, therefore closed using the temperature that the pipeline equation of heat conduction of differencing defines a root canal road first and last section System, corresponding formula are as follows:
Wherein, P is the set of all heat-net-pipelines,It is i-th of water supply line in t moment to pipeline first section x distance The temperature at place,It is flow of i-th of water supply line in t moment, Δ t is given time interval, and Δ x is between given distance Every ρ is the density of heat transfer medium (usually water), CpIt is heat transfer medium specific heat capacity,It is water supply line cross-sectional area,It is ring Border temperature.The physical schematic of the equation is as shown in Figure 3.
Further, in heat supply network, there are following relationships for pipe temperature and node temperature:
Pipeline head end temperature is equal to the node temperature that pipeline head end is connected, and corresponding formula is as follows:
Temperature after pipe end temperature mixing is equal to the temperature of pipe end connected node, the corresponding following institute of formula Show:
Wherein,It is i-th of node temperature,It is the collection for all node is being connected with pipeline j head end, end It closes.
To guarantee that node energizes quality, node temperature cannot be below limit value, while to ensure safety and stability, node temperature Cannot be excessively high, therefore node temperature needs to meet following constraint:
Wherein,It is maximum value, the minimum value of node heat supply temperature respectively.
S120: the Optimal Operation Model is solved using Decomposition iteration method;
S130: management is scheduled to the cogeneration integrated energy system according to solving result.
In the present embodiment, the Optimal Operation Model of integrated energy system is decomposed into one simply using Decomposition iteration method Convex Optimized model and a complicated non-convex tide model, the two mutually iteratively solve to obtain optimal solution, and most according to this Excellent solution is scheduled management to cogeneration integrated energy system.Specific method for solving will be implemented in second embodiment and third Specific description is done in example.
The Optimization Scheduling for the energy resource system that first embodiment of the invention provides, by establishing cogeneration comprehensive energy The Optimal Operation Model of system solves the Optimal Operation Model using Decomposition iteration method, according to solving result pair The cogeneration integrated energy system is scheduled management.Solve the optimization tune of traditional integrated energy system distributed busbar protection For degree the technical issues of being unable to reach total optimization on cost and benefit, realizing reduces distributed busbar protection operating cost, improves Benefit reduces the effect of disposal of pollutants.
Referring to Fig. 4, second embodiment of the invention also provides a kind of Optimization Scheduling of energy resource system, the present embodiment Based on previous embodiment, a kind of scheme solved using Decomposition iteration method to Optimal Operation Model is provided, it should The Optimization Scheduling of energy resource system further comprises:
S410: the Optimal Operation Model is decomposed into convex Optimized model and non-convex tide model;
S420: the convex Optimized model is solved, to obtain the electricity of distributed busbar protection in cogeneration integrated energy system Thermal power output value;
Since formula (16) are directed to the simplified model of non-convex heating system, to provide the thermal power for meeting heating system demand Lower limit, corresponding formula are as follows:
The purpose of formula (17) is to generate feasible zone cut value according to the calculated result of non-convex tide model, makes to adjust with optimization Degree model meets the constraint of entire integrated energy system, and corresponding formula is as follows:
Wherein,It is feasible zone needs increased amount of i-th of node in t moment thermal power variable,It is i-th Node needs reduced amount in the feasible zone of t moment thermal power variable.
Convex Optimized model includes formula (1)~(8) and formula (18)~(19).The softwares sides such as Cplex, CVX can be used Method solves convex Optimized model, to obtain the electric thermal power output valve of distributed busbar protection in cogeneration integrated energy system, uses Using the input value as non-convex tide model.
S430: the electric thermal power output valve is inputted into the non-convex tide model, to calculate the tide of the heating system Flow parameter;
Non-convex tide model calculates the tides such as flow, the temperature of heating system under conditions of known electrical power and thermal power Flow parameter.Non-convex tide model includes formula (9)~(17), and due to Hydraulic Power System and therrmodynamic system there is coupling and model is non- It is convex, therefore again by Hydro-thermodynamic system decomposition iteration in heating system.It is to be understood that when calculating Hydraulic Power System, fixed heat Force system temperature;When calculating therrmodynamic system, fixed Hydraulic Power System flow, Hydraulic Power System and the mutual iteration of therrmodynamic system are until receiving It holds back.It particularly may be divided into Hydraulic Power System to solve and therrmodynamic system two processes of solution.
A) Hydraulic Power System solves
Hydraulic Power System calculation formula be (9)~(12), be a non-convex model, can using Newton-Raphson approach into Row solves.Calculation method is as follows:
Wherein,
Wherein, npipeIt is heat-net-pipeline total quantity, assigned error range ε ', when Hydraulic Power System error matrix | Fh| when < ε ', Hydraulic system models obtain as a result, obtaining pipeline, node flow.
B) therrmodynamic system solves
Therrmodynamic system, which calculates, uses hierarchical algorithm, and hierarchical algorithm obtains entire heat supply network using single pipe calculated result Temperature Distribution.Therrmodynamic system calculation formula is (12)~(15), in order to solve entire pipe temperature distribution, first according to pipeline stream Amount determines the computation sequence of heat-net-pipeline, and corresponding formula is as follows:
Wherein, Li is the computation sequence of i-th of pipeline,It is the collection of all distributed energy tiny nodes with CHP unit It closes.For ease of understanding, Fig. 5 shows a case application of hierarchical algorithm.
After each layer of pipe temperature calculates, carries out pipe temperature and mixes to obtain the temperature of pipe end connecting node, It then successively calculates, the temperature until obtaining each node.It should be noted that above-mentioned algorithm is directed to the confession of heating system The network of rivers, the calculation method and water supply network of return water net are essentially identical, and unique difference is known load return water temperature in return water net, solve Heat source return water temperature, formula (21) is equally applicable at this time.
S440: judge whether the trend parameter meets default constraint condition;
The default constraint condition includes the node and pipeline flow, temperature of the heating system, and specific manifestation form is Formula (9)~(17).
S450: if not satisfied, then generating the feasible zone cut value of the convex Optimized model;
When the constraint conditions such as flow, temperature are not satisfied, the feasible zone cut value of convex Optimized model is generated, it is corresponding public Formula is as follows:
Wherein, formula (22) be for constraint the unsatisfied situation of lower bound, formula (23) be for constraint the upper bound not by The situation of satisfaction;WithIt is fixed step size, NT, failIt is all pipeline/node device set for being unsatisfactory for constraint, KjIt is It is unsatisfactory for the correction factor of restraint device for i-th, different value is taken according to pipeline/node type difference.
S460: judge whether the feasible zone cut value is preset threshold;
S470: if preset threshold, then solving result is exported;
S420: if not preset threshold, then returning and execute the solution convex Optimized model, comprehensive to obtain cogeneration The step of closing the electric thermal power output valve of distributed busbar protection in energy resource system, wherein using the feasible zone cut value as institute State the input of convex Optimized model.
In the present embodiment, preset threshold 0 illustrates that integrated energy system reaches if obtained feasible zone cut value is 0 Optimal and meet institute's Prescribed Properties, iteration terminates at this time, exports solving result.If obtained feasible zone cut value is not 0, The feasible zone cut value is back to convex Optimized model, as the input of convex Optimized model, to continue to iteratively solve, until feasible Domain cut value is 0.
Technical solution disclosed in the present embodiment, teach using Decomposition iteration method solving optimization scheduling model principle and Process, this method consider the network constraint of power grid, heat supply network, it is contemplated that the dynamic process of heating system, it is contemplated that heat supply network exists Labyrinth and changeable flow adjustment mode, to improve economic benefit and society of the distributed energy in integrated energy system Benefit.
Referring to Fig. 6, third embodiment of the invention also provides a kind of Optimization Scheduling of energy resource system, the present embodiment Based on previous embodiment, after S440, the Optimization Scheduling of the energy resource system further include:
S470: if satisfied, then exporting solving result;
S130: management is scheduled to the cogeneration integrated energy system according to solving result.
Technical solution disclosed in the present embodiment meets default constraint in the trend parameter for the heating system that step S430 is obtained When condition, the solving result being calculated through excess convexity Optimized model and non-convex tide model is directly exported, and according to solving result Management is scheduled to cogeneration integrated energy system, is not required to generate feasible zone cut value, progress successive ignition is also not required to and asks Solution.Program simple, intuitive provides a solution to special circumstances, and special circumstances herein are usually small probability thing Part, so that applicability of the invention is wider.
Referring to Fig. 7, the present invention provides a kind of Optimized Operation device of energy resource system, the Optimized Operation of the energy resource system Device can realize the Optimization Scheduling of the energy resource system of above-described embodiment, and the Optimized Operation device of the energy resource system includes: mould Type constructs module 710, model solution module 720 and dispatching management module 730.
Model construction module 710, for establishing the Optimal Operation Model of cogeneration integrated energy system;
Model solution module 720, for being solved using Decomposition iteration method to the Optimal Operation Model;
Dispatching management module 730, for being scheduled pipe to the cogeneration integrated energy system according to solving result Reason.
On the basis of the above embodiments, model construction module 710 includes:
Establish the optimization aim model of cogeneration integrated energy system;
Establish the electric power system model of cogeneration integrated energy system;
Establish the heating system model of cogeneration integrated energy system, wherein the heating system model includes waterpower System model and therrmodynamic system model.
On the basis of the above embodiments, model solution module 720 includes:
Decomposition model module, for the Optimal Operation Model to be decomposed into convex Optimized model and non-convex tide model;
Module is iteratively solved, for mutually being iteratively solved to the convex Optimized model and non-convex tide model.
On the basis of the above embodiments, iterative solution module includes:
First solution module is distributed for solving the convex Optimized model with obtaining in cogeneration integrated energy system The electric thermal power output valve of formula energy source station;
Second solves module, for solving the non-convex tide model according to the electric thermal power output valve, and according to asking It solves result and generates feasible zone cut value;
Judgment module, for judging whether the feasible zone cut value is preset threshold;
Output module then exports solving result if preset threshold;
Execution module is returned, if not preset threshold, then returns and executes the solution convex Optimized model, to obtain heat In electricity supply integrated energy system the step of the electric thermal power output valve of distributed busbar protection, wherein cut the feasible zone It is worth the input as the convex Optimized model.
On the basis of the above embodiments, the second solution module includes:
The electric thermal power output valve is inputted into the non-convex tide model, to calculate the trend ginseng of the heating system Number;
Judge whether the trend parameter meets default constraint condition;
If not satisfied, then generating the feasible zone cut value of the convex Optimized model.
On the basis of the above embodiments, further includes:
If satisfied, then exporting solving result;
Management is scheduled to the cogeneration integrated energy system according to solving result.
On the basis of the above embodiments, the default constraint condition includes the node and pipeline stream of the heating system Amount, temperature.
The Optimized Operation device of energy resource system provided by the invention, by the optimization for establishing cogeneration integrated energy system Scheduling model, solves the Optimal Operation Model using Decomposition iteration method, is joined according to solving result to the thermoelectricity Management is scheduled for integrated energy system.Solve the Optimized Operation of traditional integrated energy system distributed busbar protection in cost and The technical issues of total optimization is unable to reach in benefit, realizing reduces distributed busbar protection operating cost, improves benefit, and reduces dirty Contaminate the effect of discharge.
Referring to Fig. 8, it illustrates be suitable for be used to realize energy resource system of the embodiment of the present invention Optimization Scheduling and/or The structural schematic diagram of the electronic equipment 800 of the Optimized Operation device of energy resource system.Electronic equipment in the embodiment of the present invention can be with It is typical such as server or server cluster arbitrarily to there is the calculating equipment of data-handling capacity.Electronic equipment shown in Fig. 8 is only Only an example, should not function to the embodiment of the present invention and use scope bring any restrictions.
As shown in figure 8, electronic equipment 800 may include processing unit (such as central processing unit, graphics processor etc.) 801, random access can be loaded into according to the program being stored in read-only memory (ROM) 802 or from storage device 808 Program in memory (RAM) 803 and execute various movements appropriate and processing.In RAM 803, it is also stored with electronic equipment Various programs and data needed for 800 operations.Processing unit 801, ROM 802 and RAM 803 pass through the phase each other of bus 804 Even.Input/output (I/O) interface 805 is also connected to bus 804.
In general, following device can connect to I/O interface 805: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph As the input unit 806 of head, microphone, accelerometer, gyroscope etc.;Including such as liquid crystal display (LCD), loudspeaker, vibration The output device 807 of dynamic device etc.;Storage device 808 including such as tape, hard disk etc.;And communication device 809.Communication device 809, which can permit electronic equipment 800, is wirelessly or non-wirelessly communicated with other equipment to exchange data.Although Fig. 8 shows tool There is the electronic equipment 800 of various devices, it should be understood that being not required for implementing or having all devices shown.It can be with Alternatively implement or have more or fewer devices.
The embodiment of the invention also provides a kind of computer readable storage mediums, are stored thereon with computer program, described The optimization tune of the energy resource system as provided by the present invention aforementioned any embodiment is realized when computer program is executed by processing unit Degree method.
Particularly, according to an embodiment of the invention, the Optimization Scheduling of the energy resource system above with reference to flow chart description Process may be implemented as computer software programs.For example, the embodiment of the present invention includes a kind of computer program product, Including carrying computer program on a computer-readable medium, which includes for executing shown in above-mentioned flow chart Method program code.In such embodiments, the computer program can by communication device 809 from network by under It carries and installs, be perhaps mounted from storage device 808 or be mounted from ROM 802.In the computer program by processing unit When 801 execution, the above-mentioned function of limiting in the Optimization Scheduling of the energy resource system of the embodiment of the present invention is executed.
It should be noted that above-mentioned computer-readable medium of the invention can be computer-readable signal media or meter Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device, Or above-mentioned any appropriate combination.In the present invention, computer readable storage medium can be it is any include or storage journey The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this In invention, computer-readable signal media may include in a base band or as carrier wave a part propagate data-signal, In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable and deposit Any computer-readable medium other than storage media, the computer-readable signal media can send, propagate or transmit and be used for By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium Program code can transmit with any suitable medium, including but not limited to: electric wire, optical cable, RF (radio frequency) etc. are above-mentioned Any appropriate combination.
Above-mentioned computer-readable medium can be included in above-mentioned electronic equipment;It is also possible to individualism, and not It is fitted into the electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by the electricity When sub- equipment executes, so that the electronic equipment: obtaining at least two internet protocol addresses;Send to Node evaluation equipment includes institute State the Node evaluation request of at least two internet protocol addresses, wherein the Node evaluation equipment is internet from described at least two In protocol address, chooses internet protocol address and return;Receive the internet protocol address that the Node evaluation equipment returns;Its In, the fringe node in acquired internet protocol address instruction content distributing network.
Alternatively, above-mentioned computer-readable medium carries one or more program, when said one or multiple programs When being executed by the electronic equipment, so that the electronic equipment: receiving the Node evaluation including at least two internet protocol addresses and request; From at least two internet protocol address, internet protocol address is chosen;Return to the internet protocol address selected;Wherein, The fringe node in internet protocol address instruction content distributing network received.
The calculating for executing operation of the invention can be write with one or more programming languages or combinations thereof Machine program code, above procedure design language include object oriented program language-such as Java, Sma11talk, C++, It further include conventional procedural programming language-such as " C " language or similar programming language.Program code can be complete It executes, partly executed on the user computer on the user computer entirely, being executed as an independent software package, part Part executes on the remote computer or executes on a remote computer or server completely on the user computer.It is relating to And in the situation of remote computer, remote computer can pass through the network of any kind --- including local area network (LAN) or extensively Domain net (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as utilize ISP To be connected by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of various embodiments of the invention, method and computer journey The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction Combination realize.
Being described in the embodiment of the present invention involved module or unit can be realized by way of software, can also be with It is realized by way of hardware.Wherein, the title of unit does not constitute the restriction to the unit itself, example under certain conditions Such as, first acquisition unit is also described as " obtaining the unit of at least two internet protocol addresses ".
Above description is only presently preferred embodiments of the present invention and the explanation to institute's application technology principle.Those skilled in the art Member is it should be appreciated that the open scope involved in the present invention, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic Scheme, while should also cover in the case where not departing from design disclosed above, it is carried out by above-mentioned technical characteristic or its equivalent feature Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the present invention Can technical characteristic replaced mutually and the technical solution that is formed.
Note that the above is only a better embodiment of the present invention and the applied technical principle.It will be appreciated by those skilled in the art that The invention is not limited to the specific embodiments described herein, be able to carry out for a person skilled in the art it is various it is apparent variation, It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out by above embodiments to the present invention It is described in further detail, but the present invention is not limited to the above embodiments only, without departing from the inventive concept, also It may include more other equivalent embodiments, and the scope of the invention is determined by the scope of the appended claims.

Claims (10)

1. a kind of Optimization Scheduling of energy resource system characterized by comprising
Establish the Optimal Operation Model of cogeneration integrated energy system;
The Optimal Operation Model is solved using Decomposition iteration method;
Management is scheduled to the cogeneration integrated energy system according to solving result.
2. the Optimization Scheduling of energy resource system according to claim 1, which is characterized in that described to establish cogeneration comprehensive The step of closing the Optimal Operation Model of energy resource system, comprising:
Establish the optimization aim model of cogeneration integrated energy system;
Establish the electric power system model of cogeneration integrated energy system;
Establish the heating system model of cogeneration integrated energy system, wherein the heating system model includes Hydraulic Power System Model and therrmodynamic system model.
3. the Optimization Scheduling of energy resource system according to claim 1, which is characterized in that described to use Decomposition iteration side The step of method solves the Optimal Operation Model, comprising:
The Optimal Operation Model is decomposed into convex Optimized model and non-convex tide model;
The convex Optimized model and non-convex tide model are mutually iteratively solved.
4. the Optimization Scheduling of energy resource system according to claim 3, which is characterized in that described to the convex optimization mould The step of type and non-convex tide model are mutually iteratively solved, comprising:
The convex Optimized model is solved, to obtain the electric thermal power output of distributed busbar protection in cogeneration integrated energy system Value;
The non-convex tide model is solved according to the electric thermal power output valve, and feasible zone cutting is generated according to solving result Value;
Judge whether the feasible zone cut value is preset threshold;
If preset threshold, then solving result is exported;
If not preset threshold, then returns and execute the solution convex Optimized model, to obtain cogeneration comprehensive energy system In system the step of the electric thermal power output valve of distributed busbar protection, wherein using the feasible zone cut value as the convex optimization The input of model.
5. the Optimization Scheduling of energy resource system according to claim 4, which is characterized in that described according to the electric heating function Rate output valve solves the non-convex tide model, and the step of generating feasible zone cut value according to solving result, comprising:
The electric thermal power output valve is inputted into the non-convex tide model, to calculate the trend parameter of the heating system;
Judge whether the trend parameter meets default constraint condition;
If not satisfied, then generating the feasible zone cut value of the convex Optimized model.
6. the Optimization Scheduling of energy resource system according to claim 5, which is characterized in that the judgement trend ginseng After the step of whether number meets default constraint condition, the Optimization Scheduling of the energy resource system further include:
If satisfied, then exporting solving result;
Management is scheduled to the cogeneration integrated energy system according to solving result.
7. the Optimization Scheduling of energy resource system according to claim 5, which is characterized in that the default constraint condition packet Include the node and pipeline flow, temperature of the heating system.
8. a kind of Optimized Operation device of energy resource system, which is characterized in that the Optimized Operation device of the energy resource system includes:
Model construction module, for establishing the Optimal Operation Model of cogeneration integrated energy system;
Model solution module, for being solved using Decomposition iteration method to the Optimal Operation Model;
Dispatching management module, for being scheduled management to the cogeneration integrated energy system according to solving result.
9. a kind of electronic equipment, can run on a memory and in processing unit including memory, processing unit and storage Computer program, it is characterised in that: the processing unit is realized when executing the computer program as appointed in claim 1 to 7 The Optimization Scheduling of energy resource system described in one.
10. a kind of storage medium, is stored thereon with computer program, it is characterised in that: the computer program is by processing unit The Optimization Scheduling of the energy resource system as described in any in claim 1 to 7 is realized when execution.
CN201811566606.6A 2018-12-20 2018-12-20 Optimization Scheduling, device, electronic equipment and the storage medium of energy resource system Pending CN109657984A (en)

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Application publication date: 20190419