CN108446809A - A kind of regional complex energy device and network dual-layer optimization configuration method - Google Patents
A kind of regional complex energy device and network dual-layer optimization configuration method Download PDFInfo
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Abstract
The present invention discloses a kind of regional complex energy device and network dual-layer optimization configuration method, belongs to regional complex ENERGY PLANNING field, includes the following steps：Comprehensive energy is divided into electricity/gas/hot/cold energy resource system by workload demand, and consider the coupled relation between different energy sources system, establish regional complex energy device and network planning model, including upper layer plan model and lower layer's plan model, lower layer's planning carries out decoupling solution to electricity/gas/cold heat energy resource system, and output equipment and circuit maximum power feed back to upper layer；Upper layer planning considers equipment and network installation capacity-constrained and solves that output equipment capacity and configuration variable adjust lower layer, and iterative solution realizes equipment and the network planning in comprehensive energy region according to gained place capacity and configuration result until convergence.The present invention has many advantages, such as electricity/gas/hot/cold energy resource system coupling operation, reduces the investment of comprehensive energy regional construction, reduction system operation loss.
Description
Technical field
The present invention relates to regional complex ENERGY PLANNING fields, double more particularly, to a kind of regional complex energy device and network
Layer Optimal Configuration Method.
Background technology
Energy and environment problem has become the focus of countries in the world, seek novel energy, improve energy utilization rate, can
It is the inevitable choice for realizing energy sustainable development that the renewable sources of energy, which large-scale develop and utilize,.In addition user terminal energy demand form
The diversified forms such as diversification, including electricity, air and heat/cold, such as common electric load, heating load, hot water load, Gas Load.
And in this context, the energy industries relative closure such as existing hot and cold, electric, gas is separately planned, independently operated traditional mode
The raising for constraining comprehensive energy efficiency is unfavorable for the sustainable development of cost efficiency, the energy.
For this purpose, country puts into effect relevant policies such as《Instruction about propulsion " internet+" wisdom energy development》(hair changes
The energy (2016) 392),《About the implementation guideline for promoting integrated optimization demonstration project construction of providing multiple forms of energy to complement each other》(hair changes the energy
(2016) No. 1430) etc. to support and promote to provide multiple forms of energy to complement each other and the research and development of comprehensive energy.Therefore, fully consider electricity, gas,
The different forms energy such as hot and cold is in production, transmission, the collaboration coupling of each link of consumption, and development is in planning, operation, each rank of construction
The integrated energy system of section organic coordination is particularly necessary.
However electricity, gas, the hot and cold different form energy couple pass existing for each link such as production, conversion, transmission, consumption
System makes the problems such as planning to the energy resource system comprising electricity/gas/cold heat increasingly complex.The rule of existing integrated energy system
It draws research all not take into account the coupling of electricity/four kinds of energy resource systems of gas/hot/cold, weakens or do not consider which part mostly
Energy resource system.Therefore the planning of electricity/gas/hot/cold energy resource system is needed to consider various coupling factors and comb it to be subject to again
Quantization, while according to each energy resource system characteristic, a set of rational solution flow is designed on this basis.
The patent document of Publication No. CN105183991A discloses a kind of planning and design of regional complex energy resource system
Method, the planning of the regional complex energy resource system and design method by establish electric load temporal model in region, establish it is cold,
Thermic load temporal model establishes energy supply technology model；Establish regional complex energy system planning target, setting regions comprehensive energy
System general layout target；To index calculating and scheme evaluation；According to the assessment to each alternative, the optimal synthesis energy is determined
Programming and planning scheme.The invention provides the complete idea and method of integrated energy system planning and designing, passes through comprehensive energy
The operation of system carrys out guiding plan design, can more accurately assess integrated energy system index in the complete period, determine optimal
Integrated energy system planning and design scheme.But hot and cold, electric load temporal model is established in the invention, does not consider electric-gas and gas-
Transforming relationship between heat, assessment planning are not comprehensive enough.
The patent document of Publication No. CN106055773A discloses a kind of multizone comprehensive energy of combination heat supply network model
The method for building up of system configuration model, this approach includes the following steps：Step 10) establishes heat supply network model and CCHP models respectively；
Step 20) combines the heat supply network model established and CCHP models, establishes allocation models.This method can be good at using in each region
Apparent peak valley existing for cold and hot electric load interlocks phenomenon, realizes that the supply and demand of various energy resources is complementary, reduces capacity configuration.But
The invention only establishes heat supply network model, solves the problems, such as that the configuration occurred when individually planning waste, utilization rate of equipment and installations are low, does not have
Consider electricity, gas, hot and cold different form energy coupled relation existing for each link such as production, conversion, transmission, consumption, it cannot be true
Determine optimum programming scheme, the equipment and network in comprehensive energy region cannot be realized according to gained place capacity and configuration result
Planning.
Invention content
The purpose of the present invention is provide a kind of regional complex energy device and the configuration of network dual-layer optimization regarding to the issue above
Method.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of regional complex energy device and network dual-layer optimization configuration method, the method includes the following steps：
Step 1：Comprehensive energy region is divided into electricity/gas/hot/cold energy resource system by workload demand and considers different energy sources system
Between coupled relation；
Step 2：In conjunction in step 1 energy resource system, regional complex energy device and network bi-level programming model, the rule are established
It includes upper layer plan model and lower layer's plan model to draw model；
Step 3：Hierarchical solving is carried out to the regional complex energy Bi-level Programming Models established in step 2, according to obtained result
Realize equipment and the network planning in comprehensive energy region.
Preferably, the coupled relation in the step 1 between different energy sources system include refrigeration work consumption distribution coefficient, heat/
Produce the electric-gas and gas-thermal transition relationship, energy source station heat supply water pump power consumption coefficient of CHP units in Electricity Federation.
Preferably, in the step 2, minimum target is lost with system operation in lower layer's plan model, consider electricity/gas/cold/
Network trend, the equipment of each energy resource system of heat are contributed and equilibrium of supply and demand constraint, and upper layer planning is minimum with equipment and track investment
For target, equipment and network installation capacity-constrained are considered.
Preferably, in the step 2, upper layer plan model is specially：
s.t.Wp,min≤Wp,i≤Wp,max,Wp,iIt is integer
Wq,min≤Wq,l≤Wq,max,Wq,lIt is integer
In formula, KpFor the installation cost as per machine capacity of pth kind equipment, KqUnit capacity under circuit unit length is energized for q kinds
Installation cost, Wp,iFor the installed capacity of pth kind equipment, Wq,lFor the installed capacity of the l articles circuit of the transmission q kind energy, Oq,l
For the installation decision variable of the l articles circuit of the transmission q kind energy, LlFor the length of the l articles circuit, ΩpFor pth kind equipment
Model collection, ΩqThe model collection of circuit is energized for q kinds, R is cost conversion factor,M is Annual Percentage Rate, and y is to throw
Provide payback period.
Preferably, lower layer's plan model is specially：
Pq,min≤Pq,l≤Wq,lOq,l
In formula,It is the power for the l articles circuit for flowing in and out the transmission q kind energy, A respectivelyqFor q kind energy
The node in source and circuit incidence coefficient matrix,For the power matrix of all node q kind energy,For all line transmissions
The q kind energy power matrix, fqFor the power P transmitted in the transmission loss of the q kind energy, with circuitq,lIt is related,For
The q kind energy source power of the output of node i pth kind equipment,It is to flow in and out node i q kind energy respectively
The power in source,For the load power of the node i q kind energy, Pq,minFor the least work of the q kind energy of line transmission
Rate,For the q kind energy minimum powers of the output of pth kind equipment.
Preferably, the upper layer plan model solution procedure is specially：
1) this mixed-integer programming model is solved using branch and bound method, obtains original equipment capacity and configuration, calculated and throw
Cost function value is provided, and is deposited to history optimal cost value, into lower layer；
2) it is inputted from lower layer, each equipment output and line transmission maximum power value is inputted if not reporting an error, calculates cost of investment
3) functional value turns；The equipment that input is unsatisfactory for constraint if reporting an error is contributed and capacity of trunk maximin, turns 5)；
3) if this time value at cost is more optimal than history low, otherwise more new historical optimal value retains；
If 4) last time value at cost=this time value at cost=history optimal cost value, iteration ends, export final result, otherwise after
It is continuous；
5) equipment component and network topology are updated：If having equipment maximum power not up to or beyond setting capability value, by capacity
Value is adjusted to maximum power value rounding, otherwise constant, meanwhile, if having line transmission maximum or minimum power beyond setting capacity model
Enclose, then update this circuit invest to build capacity or cancel invest to build；If without variable update, turn 3)；
6) it on the basis of identified equipment component capacity in 5) and network topology variable, is solved and is updated using branch and bound method
All devices capacity and network topology variable, into lower layer.
Preferably, lower layer's plan model solution procedure is specially：
1) each Coupling device capacity, each energy source configuration are inputted from upper layer, reads user's electricity/gas/hot/cold load and each
Parameter information；
2) the cold power output for updating each energy source station CCHP units, solves cooling network optimal power stream；
3) setting refrigeration distribution coefficient distributes the electrically and thermally refrigeration output power of each energy source station CCHP units；
4) thermal power output for updating each energy source station CCHP units, solves heating network optimal power stream；
5) each energy source station heat supply water pump transporting heat energy consumption of electric power is calculated, the electrical power for updating each energy source station CCHP units is defeated
Go out, solves power transmission network optimal load flow；
6) according to the electric-gas of each energy source station CCHP units, gas-thermal transition relationship, the combustion gas of each energy source station CCHP units is calculated
Consumption solves gas supply network trend, and whether verification meets the pressure confines of steam line, meets and turns 8), otherwise to turn 7)；
7) judge whether iterations are less than setting number, update each energy source station CCHP unit amount of consumed gas if meeting, more
4) new refrigeration distribution coefficient, turns；The equipment output or line power maximin for being unsatisfactory for constraint are exported if being unsatisfactory for, and are returned
It goes back to upper layer and reports an error；
8) each energy station equipment output and line transmission minimax performance number are exported, upper layer is returned to.
Compared with prior art, the present invention has the advantages that：
Comprehensive energy is divided into electricity/gas/hot/cold energy resource system by the present invention by workload demand, and considers different energy sources system
Coupled relation between system, including the electric-gas of refrigeration work consumption distribution coefficient, heat/Electricity Federation production (CHP) unit and gas-thermal transition are closed
System, energy source station heat supply water pump power consumption coefficient；Regional complex energy device and network planning model are established, the plan model includes
Upper layer plan model and lower layer's plan model, upper layer plan model is with equipment and the minimum target of network investment cost, under described
Minimum target is lost with system operation in layer plan model, and levels have variable intercommunication, carry out feedback adjustment：Most with equipment maximum
Whether small-power more new plant capacity is invested to build with network transmission minimax power decision circuit.Lower layer plans with system operation
Minimum target is lost, considers that the network trend of electricity/each energy resource system of gas/cold heat, equipment are contributed and the equilibrium of supply and demand constrains,
Decoupling solution is carried out to electricity/gas/cold heat energy resource system, output equipment and circuit maximum power feed back to upper layer；Upper layer planning with
Equipment and the minimum target of track investment consider equipment and network installation capacity-constrained and solve, output equipment capacity and circuit
It is laid out variable and adjusts lower layer, iterative solution realizes comprehensive energy until convergence according to gained place capacity and configuration result
The equipment in region and the network planning.Compared with prior art, the present invention have by electricity/gas/hot/cold energy resource system coupling operation,
It reduces the investment of comprehensive energy regional construction, reduce the advantages that system operation loss.The present invention is considering gas-electricity, gas-heat, electricity-
Heat planned on the basis of specific coupled relation between electricity-hot and cold-cold energy source, give full play to electricity/gas/hot/cold energy it
Between complementary advantage, the place capacity redundancy in a certain energy resource system will not be caused, equipment investment cost is lower, while also can
The optimization of network outages in each energy resource system is taken into account, running wastage is lower.
Description of the drawings
The present invention is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 is regional complex energy device and network dual-layer optimization configuration method block diagram in the embodiment of the present invention.
Fig. 2 is 2 electric load data of interior joint of the embodiment of the present invention.
Specific implementation mode
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.The present embodiment is with technical solution of the present invention
Premised on implemented, give detailed embodiment and specific operating process, but protection scope of the present invention is not limited to
Following embodiments.
As shown in Figure 1, a kind of regional complex energy device and network dual-layer optimization configuration method are present embodiments provided, it should
Method includes the following steps：
Step 1：Comprehensive energy region is divided into electricity/gas/hot/cold energy resource system by workload demand, and considers different energy
Coupled relation between the system of source.Wherein electric system includes that 380V transmission lines of electricity, load point electric load and energy source station are personal
The equipment of electric load, energy source station production electric energy：Gas turbine；Gas burning system includes gas pipeline, load point gas load and energy
Serve as the consumption gas-fired equipment of gas load in source station：Gas fired-boiler and gas turbine；Heat energy system includes delivery pipeline, load
The equipment of point thermic load and energy source station production thermal energy：Gas turbine and gas fired-boiler；Cold energy system include cold water conveyance conduit,
The equipment of load point refrigeration duty and energy source station production cold energy：Electric refrigerating machine and Absorption Refrigerator.All Coupling device counterpoises
It is bonded to energy tiny node.And the coupling between four kinds of energy resource systems includes refrigeration work consumption distribution coefficient, heat/Electricity Federation production (CHP) unit
Electric-gas and gas-thermal transition relationship, energy source station heat supply water pump power consumption coefficient.Refrigeration work consumption distribution coefficient is electricity refrigeration and absorbs
The ratio for the cold power that formula refrigeration generates respectively, for relationship of the determining electricity-between hot and cold-cold；Produce (CHP) unit in heat/Electricity Federation
Electric-gas and gas-thermal transition relationship refer to gas turbine, gas fired-boiler produce electricl energy and thermal energy and its combustion gas consumed between
Relationship；Energy source station heat supply water pump power consumption coefficient is used to determine the relationship between water pump conveying thermal energy and its electric energy consumed.
Step 2：To in step 1 energy resource system, regional complex energy device and network bi-level programming model are established, it is described
Plan model includes upper layer plan model and lower layer's plan model；Upper layer plan model is minimum with equipment and network investment cost
Target, upper layer plan model object function are that cost, constraints are converted in all devices and network investment in integrated energy system
Including installed capacity limitation, the limitation of circuit installed capacity.Minimum target is lost with system operation in lower layer's plan model, under
Layer plan model object function is each energy resource system network outages, and constraints includes that node-line power is associated with about
Beam, network outages constraint, node power Constraints of Equilibrium, energy station equipment output bound constrain, on network transmitting power
Lower limit constrains.Levels have variable intercommunication, carry out feedback adjustment：With equipment minimax power more new plant capacity, with network
Whether transmission minimax power decision circuit is invested to build.
Plan model is specially at the middle and upper levels for it：
s.t.Wp,min≤Wp,i≤Wp,max
Wq,min≤Wq,l≤Wq,max
In formula, KpFor the installation cost as per machine capacity of pth kind equipment, KqUnit capacity under circuit unit length is energized for q kinds
Installation cost, Wp,iFor the installed capacity of pth kind equipment, Wq,lFor the installed capacity of the l articles circuit of the transmission q kind energy, Oq,l
For the installation decision variable of the l articles circuit of the transmission q kind energy, LlFor the length of the l articles circuit, ΩpFor pth kind equipment
Model collection, ΩqThe model collection of circuit is energized for q kinds, R is cost conversion factor,M is Annual Percentage Rate, and y is
Pay off period.
Lower layer's plan model is specially：
In formula,It is the power for the l articles circuit for flowing in and out the transmission q kind energy, A respectivelyqFor q kind energy
The node in source and circuit incidence coefficient matrix,For the power matrix of all node q kind energy,For all line transmissions
The q kind energy power matrix, fqFor the power P transmitted in the transmission loss of the q kind energy, with circuitq,lIt is related,For
The q kind energy source power of the output of node i pth kind equipment,It is to flow in and out node i q kind energy respectively
The power in source,For the load power of the node i q kind energy, Pq,minFor the least work of the q kind energy of line transmission
Rate,For the q kind energy minimum powers of the output of pth kind equipment.
Wherein, for heat supply energy resource system, transmission loss constraintSpecially：
In formula, η is line transmission efficiency, and δ is unit line loss per unit, LlFor the l length of circuit.
For cooling energy resource system, transmission lossConcrete form with for heat energy
System is similar.For gas burning system, transport leakage is not considered, therefore, it is considered that lossless；For electric system, using DC power flow
It calculates, ignores branch loss, line transmission power constraint isWherein θl1、θl2It is the both ends circuit l respectively
Voltage phase angle, xlIt is the reactance value of circuit l.
For node power Constraints of EquilibriumThe specific shape in different energy sources system
Formula is different.In cooling energy resource system, the node containing energy source stationOther nodesIn heat supply energy resource system, the node containing energy source station
Other nodesIn power energy system, the node containing energy source stationWhereinOther nodesIn gas burning system, the node containing energy source stationWhereinOther nodes
Wherein, χcold,iFor the refrigeration work consumption distribution coefficient of the i-th node energy station equipment, ηGT,i、ηGB,iIt is the i-th node respectively
Pneumoelectric, the conjugate heat transfer coefficient of energy station equipment, υheatFor the defeated heat-exchanger pump power consumption coefficient of energy source station, Pcold,i、Pheat,i、Pe,i、
Pgas,iIt is that cold power, thermal power, electrical power, the gas quantity of the i-th node energy station equipment always exports respectively, Pcold,l、Pheat,l、
Pe,l、Pgas,lIt is hot and cold, electric, the gas performance number of circuit l transmission, P respectivelyEC,i、PAC,i、PGB,iIt is respectively
Electric refrigerating machine in i-th node energy source station, Absorption Refrigerator, gas turbine power generation, gas turbine heat production, gas fired-boiler heat production
Performance number,It is hot and cold, electric, the gas load power value of the i-th node respectively.
Step 3：Hierarchical solving is carried out to the regional complex energy Bi-level Programming Models established in step 2, according to what is obtained
As a result equipment and the network planning in comprehensive energy region are realized.
Wherein, it is that the equipment for choosing Optimum cost is installed and circuit invests to build scheme that upper layer plan model, which solves main purpose,
And place capacity and circuit are contributed by each equipment of lower layer whether invest to build and line transmission power is influenced, step is specially：
1) this mixed-integer programming model is solved using branch and bound method, obtains original equipment capacity and configuration, calculated and throw
Cost function value is provided, and is deposited to history optimal cost value, into lower layer；
2) it is inputted from lower layer, each equipment output and line transmission maximum power value is inputted if not reporting an error, calculates cost of investment
3) functional value turns；The equipment that input is unsatisfactory for constraint if reporting an error is contributed and capacity of trunk maximin, turns 5)；
3) if this time value at cost is more optimal than history low, otherwise more new historical optimal value retains；
4) if last time value at cost=this value at cost=history optimal cost value, iteration ends export final result, including set
Standby capacity Wp,i, capacity of trunk Wq,l, circuit invest to build decision variable Oq,l, otherwise continue；
5) equipment component and network topology are updated：If there is equipment maximum power not up to or beyond setting capability value Wp,i, then will hold
Magnitude is adjusted to maximum power value rounding, otherwise constant, meanwhile, if having line transmission maximum or minimum power beyond setting capacity
Range then updates this circuit and invests to build capacity Wq,lOr cancels and invest to build Oq,l=0；If without variable update, turn 3)；
6) it on the basis of identified equipment component capacity in 5) and network topology variable, is solved and is updated using branch and bound method
All devices capacity and network topology variable, into lower layer.
Wherein, lower layer's plan model solve main purpose be minimize network outages, due to the cold energy resource system of gas-it
Between without direct-coupling, therefore using first determining cold supply system, then determine heat, electric system, finally determine that the decoupling of air supply system is asked
Solution strategy, step are specially：
1) each Coupling device capacity, each energy source configuration are inputted from upper layer, reads user's electricity/gas/hot/cold load and each
Parameter information；
2) the cold power for updating each energy source station CCHP units always exports Pcold,i, according to cold supply system via net loss function and section
The constraints such as point power-balance, solve cooling network optimal power stream, determine every circuit cooling transimission power Pcold,l；
3) setting refrigeration distribution coefficient χcold, distribute the electrically and thermally refrigeration output power P of each energy source station CCHP unitsEC,iAnd PAC,i；
4) thermal power for updating each energy source station CCHP units always exports Pheat,i, according to heating system via net loss function and section
The constraints such as point power-balance, solve heating network optimal power stream, determine every circuit for heat transfer power Pheat,l；
5) according to the defeated heat consumption electrostrictive coefficient υ of water pumpheat, calculate each energy source station heat supply water pump transporting heat energy consumption of electric power Ppump,i, more
The electrical power of new each energy source station CCHP units exports Pe,iI.e.According to electric system node power balance, circuit input
The constraints such as output power solve power transmission network optimal load flow, determine every circuit for heat transfer power Pe,l；
6) according to the electric-gas of each energy source station CCHP units, gas-thermal transition relationship
Calculate the amount of consumed gas P of each energy source station CCHP unitsgas,i, gas supply network trend is solved, determines every circuit air demand
Pgas,l, verify and whether meet the constraints such as steam line capacity, meet and turn 8), otherwise to turn 7)；
7) each energy source station CCHP unit amount of consumed gas P is updatedgas,i, update refrigeration distribution coefficient χcold, turn 2)；
8) each energy station equipment output and line transmission minimax performance number, including P are exportedcold,l、Pheat,l、Pe,l、
Pgas,lAnd PEC,i、PAC,i、PGB,i, return to upper layer.
All linear programming models in the plan model, therefore the method that linear programming can be used in step is emulated
It solves.
By taking a simple region integrated energy system as an example, region includes an energy source station (node 1) and two loads
(node 2, node 3), circuit (circuit 1) length between node 1 and 2 are 0.65km, the circuit (circuit 2) between node 2 and 3
Length is 0.45km, and circuit (circuit 3) length between node 1 and 3 is 0.5km, and the electric load data of node 2 are referring to Fig. 2.
Case 1：The bilayer model of the minimum minimum target of lower layer's running wastage is invested with upper layer.
Case 2：Only with the minimum target of cost of investment.
Table 1 is the program results of place capacity, cost of investment and running wastage under two kinds of cases etc..
1 Correlative plan result of table
Table 2 is that the circuit of each energy resource system invests to build result.
2 each energy resource system circuit of table invests to build result (kW)
Can be seen that from the result in Tables 1 and 2 use the result obtained by dual-layer optimization configuration method be compared to only with
The minimum planing method of cost of investment, although cost of investment is slightly higher, only more less than 0.1%, system operation loss is obviously wanted
Much lower, the proportion of goods damageds want low 0.7% or so, therefore comprehensive benefit is more excellent.
In summary, the present invention has following advantageous effects：The coupling for considering the cold four kinds of energy resource systems of electrical heat,
Consider gas-electricity, gas-heat, electric-thermal, electricity-it is hot and cold-cold energy source between planned on the basis of specific coupled relation, abundant hair
The complementary advantage between electricity/gas/hot/cold energy is waved, the place capacity redundancy in a certain energy resource system, equipment will not be caused to throw
It is lower to provide cost, while can also take into account the optimization of network outages in each energy resource system, running wastage is lower.
The above is the preferred embodiment of the present invention, it is noted that for those skilled in the art
For, without departing from the principles of the present invention, it can also make several improvements and retouch, these improvements and modifications
It should be regarded as protection scope of the present invention.
Claims (7)
1. a kind of regional complex energy device and network dual-layer optimization configuration method, which is characterized in that include the following steps：
Step 1：Comprehensive energy region is divided into electricity/gas/hot/cold energy resource system by workload demand and considers different energy sources system
Between coupled relation；
Step 2：In conjunction in step 1 energy resource system, regional complex energy device and network bi-level programming model, the rule are established
It includes upper layer plan model and lower layer's plan model to draw model；
Step 3：Hierarchical solving is carried out to the regional complex energy Bi-level Programming Models established in step 2, according to obtained result
Realize equipment and the network planning in comprehensive energy region.
2. regional complex energy device according to claim 1 and network dual-layer optimization configuration method, which is characterized in that institute
State the electricity-that the coupled relation in step 1 between different energy sources system includes refrigeration work consumption distribution coefficient, heat/Electricity Federation production CHP units
Gas and gas-thermal transition relationship, energy source station heat supply water pump power consumption coefficient.
3. regional complex energy device according to claim 1 and network dual-layer optimization configuration method, which is characterized in that institute
It states in step 2, minimum target is lost with system operation in lower layer's plan model, considers electricity/each energy resource system of gas/cold heat
Network trend, equipment are contributed and equilibrium of supply and demand constraint, upper layer planning with equipment and the minimum target of track investment, consider equipment and
Network installation capacity-constrained.
4. regional complex energy device according to claim 1 and network dual-layer optimization configuration method, which is characterized in that institute
It states in step 2, upper layer plan model is specially：
s.t.Wp,min≤Wp,i≤Wp,max,Wp,iIt is integer
Wq,min≤Wq,l≤Wq,max,Wq,lIt is integer
In formula, KpFor the installation cost as per machine capacity of pth kind equipment, KqUnit capacity under circuit unit length is energized for q kinds to pacify
This is dressed up, Wp,iFor the installed capacity of pth kind equipment, Wq,lFor the installed capacity of the l articles circuit of the transmission q kind energy, Oq,lFor
Transmit the installation decision variable of the l articles circuit of the q kind energy, LlFor the length of the l articles circuit, ΩpFor the type of pth kind equipment
Number collection, ΩqThe model collection of circuit is energized for q kinds, R is cost conversion factor,M is Annual Percentage Rate, and y is to invest back
Receive the time limit.
5. regional complex energy device according to claim 3 and network dual-layer optimization configuration method, which is characterized in that institute
Stating lower layer's plan model is specially：
Pq,min≤Pq,l≤Wq,lOq,l
In formula,It is the power for the l articles circuit for flowing in and out the transmission q kind energy, A respectivelyqFor q kind energy
The node in source and circuit incidence coefficient matrix,For the power matrix of all node q kind energy,For all line transmissions
The q kind energy power matrix, fqFor the power P transmitted in the transmission loss of the q kind energy, with circuitq,lIt is related,For
The q kind energy source power of the output of node i pth kind equipment,It is to flow in and out node i q kind energy respectively
The power in source,For the load power of the node i q kind energy, Pq,minFor the least work of the q kind energy of line transmission
Rate,For the q kind energy minimum powers of the output of pth kind equipment.
6. regional complex energy device according to claim 4 and network dual-layer optimization configuration method, which is characterized in that institute
Stating upper layer plan model solution procedure is specially：
1) this mixed-integer programming model is solved using branch and bound method, obtains original equipment capacity and configuration, calculated and throw
Cost function value is provided, and is deposited to history optimal cost value, into lower layer；
2) it is inputted from lower layer, each equipment output and line transmission maximum power value is inputted if not reporting an error, calculates cost of investment
3) functional value turns；The equipment that input is unsatisfactory for constraint if reporting an error is contributed and capacity of trunk maximin, turns 5)；
3) if this time value at cost is more optimal than history low, otherwise more new historical optimal value retains；
If 4) last time value at cost=this time value at cost=history optimal cost value, iteration ends, export final result, otherwise after
It is continuous；
5) equipment component and network topology are updated：If having equipment maximum power not up to or beyond setting capability value, by capacity
Value is adjusted to maximum power value rounding, otherwise constant, meanwhile, if having line transmission maximum or minimum power beyond setting capacity model
Enclose, then update this circuit invest to build capacity or cancel invest to build；If without variable update, turn 3)；
6) it on the basis of identified equipment component capacity in 5) and network topology variable, is solved and is updated using branch and bound method
All devices capacity and network topology variable, into lower layer.
7. regional complex energy device according to claim 5 and network dual-layer optimization configuration method, which is characterized in that institute
Stating lower layer's plan model solution procedure is specially：
1) each Coupling device capacity, each energy source configuration are inputted from upper layer, reads user's electricity/gas/hot/cold load and each
Parameter information；
2) the cold power output for updating each energy source station CCHP units, solves cooling network optimal power stream；
3) setting refrigeration distribution coefficient distributes the electrically and thermally refrigeration output power of each energy source station CCHP units；
4) thermal power output for updating each energy source station CCHP units, solves heating network optimal power stream；
5) each energy source station heat supply water pump transporting heat energy consumption of electric power is calculated, the electrical power for updating each energy source station CCHP units is defeated
Go out, solves power transmission network optimal load flow；
6) according to the electric-gas of each energy source station CCHP units, gas-thermal transition relationship, the combustion gas of each energy source station CCHP units is calculated
Consumption solves gas supply network trend, and whether verification meets the pressure confines of steam line, meets and turns 8), otherwise to turn 7)；
7) judge whether iterations are less than setting number, update each energy source station CCHP unit amount of consumed gas if meeting, more
4) new refrigeration distribution coefficient, turns；The equipment output or line power maximin for being unsatisfactory for constraint are exported if being unsatisfactory for, and are returned
It goes back to upper layer and reports an error；
8) each energy station equipment output and line transmission minimax performance number are exported, upper layer is returned to.
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