CN107341593A - A kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model - Google Patents

A kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model Download PDF

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CN107341593A
CN107341593A CN201710463002.8A CN201710463002A CN107341593A CN 107341593 A CN107341593 A CN 107341593A CN 201710463002 A CN201710463002 A CN 201710463002A CN 107341593 A CN107341593 A CN 107341593A
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崔杨
陈志�
庄妍
严干贵
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Northeast Electric Power University
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Abstract

The present invention relates to a kind of electric heating integrated system based on scene partitioning to abandon wind consumption coordinative dispatching model, for abandoning wind problem caused by the constraint of Northern Part of China heat supply in winter phase cogeneration units coupled thermomechanics and putting forward, is characterized in：The electric heating interconnection constraint of cogeneration units is handled using the method for scene partitioning, scheduling model is solved with the method that interior point method (IPM) is combined using genetic algorithm containing elitism strategy (EGA), analysis electric boiler heat supply ratio is with including the relation for abandoning the system total activation cost including eolian and operating cost, contrast economy when heat supply is adjusted in heat-storing device different operating mode and cogeneration of heat and power containing heat accumulation with grill pan furnace system, have the advantages that at utmost consumption abandons wind while obtains Best Economy, operation plan a few days ago is formulated for dispatching of power netwoks department, and foundation is provided.

Description

A kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model
Technical field
It is that a kind of electric heating integrated system based on scene partitioning is abandoned wind and disappeared the present invention relates to wind-powered electricity generation networking coordinated scheduling field Receive coordinative dispatching model.
Background technology
In recent years, the Wind Power In China mainly fast development in the form of the group of large-scale wind power field, the end of the year in 2015 is ended, wind-powered electricity generation Total installation of generating capacity reaches 129GW, accounts for the 8.6% of total installation of generating capacity.But abandon wind problem and be cured gradually seriously, Chinese whole year in 2015 abandons The kilowatt hour of wind-powered electricity generation amount 33,900,000,000, wherein northern area always abandon wind-powered electricity generation amount up to 33,700,000,000 kilowatt hours, account for the whole nation and always abandon wind-powered electricity generation amount 99.41%, it is especially prominent that its heat supply in winter phase abandons the problem of air quantity is huge.The main reason for causing the problem has at 3 points：Electric energy The asymmetry of production and consumption, electrical grid transmission passage limit and the coupled thermomechanics mode of production of cogeneration units.Thermoelectricity The characteristics of coproduction unit is because of its efficiency high as solve energy crisis effective way, but extensively using cogeneration units progress Operation of the contradiction but to future source of energy system between cogeneration and the access of extensive regenerative resource causes to challenge.
In direct heating system, the electro thermal coupling characteristic of cogeneration units is power system and therrmodynamic system contact Key, however, under the scene of the access of extensive intermittent energy and high cogeneration units accounting, system consumption batch (-type) The ability of the energy need to be lifted further.Therefore, from the angle of decoupling electro thermal coupling constraint, added in electric heating association system Heat-storing device is a preferable solution route.In addition, it is also solution to increase regional power load using equipment such as electric boiler, heat pumps The certainly effective way of wind electricity digestion problem.With the devices such as heat accumulation, electric boiler and heat pump gradually should in electric heating association system With promoting electric heating association system to form new energy scheduling administrative mechanism with the operation of adaptive system.Individually considering heat accumulation dress Put on the basis of abandoning wind action for consumption with electric boiler, wind consumption effect is abandoned when coordinating heat supply to heat-storing device and electric boiler Theoretical foundation can be provided for traffic department's formulation operation plan by carrying out deep analysis.
The content of the invention
The technical problems to be solved by the invention are to propose that a kind of electric heating integrated system based on scene partitioning abandons wind consumption Coordinative dispatching model, the model are solved using genetic algorithm containing elitism strategy (EGA) with the method that interior point method (IPM) is combined, It is intended to decouple thermoelectricity by way of configuring heat-storing device in cogeneration units side and configuring electric boiler in network load side Coupling constraint, lifting wind-powered electricity generation online space.
The purpose of the present invention be by following technical scheme come be realize：A kind of electric heating integrated system based on scene partitioning Wind consumption coordinative dispatching model is abandoned, it is characterized in that, handle the electric heating association of cogeneration units about using the method for scene partitioning Beam, electric heating Joint economics scheduling is carried out using branch scape EGA-IPM methods, outer layer determines heat-storing device best effort meter using EGA Draw, storage, the heat release power of each period are set, internal layer obtains optimal electric heating using branch scape Hessian matrix interior point methods and combined Operation plan, specifically include following steps：
1) electric heating integrated system structure is established
Electric heating integrated system is made up of wind farm group, conventional fired power generating unit, cogeneration units containing heat accumulation and electric boiler, storage Thermal is arranged on cogeneration units side to decouple electro thermal coupling constraint, increases the flexibility of its output；Electric boiler is arranged on Electric load side, when abandoning wind access heat supply abandon wind to dissolve；
2) foundation of wind consumption coordinative dispatching model optimization aim is abandoned
The scheduling of electric heating Joint economics is generally with the minimum regulation goal of system cost of electricity-generating, to examine heat-storing device and grill pan Stove, which dissolves, abandons the effect of wind power, is added in cost and abandons eolian, thus the object function of model include unit operation cost and Abandon shown in eolian two parts such as formula (1)-formula (3)：
Cost=Costopr+Costwcur (1)
Wherein：M is the total number of units of cogeneration units；
N is the total number of units of conventional fired power generating unit；
ai,bi,ci,di,ei,fiFor cogeneration units operating cost coefficient；
PiElectricity for i-th unit is contributed；
PH iHeat for i-th cogeneration units is contributed；
ε is to abandon wind cost coefficient；
K is wind power plant number；
PwFor the output of w-th of wind power plant；
PLFor system total load；
When being optimized using interior point method to above-mentioned target, the general type of Non-Linear Programming is solved with reference to interior point method, Whether occur according to wind is abandoned, the interior point method optimization aim not comprising constant term is respectively：
Nothing abandons optimization aim during wind：
g0=[b1,b2,bn,bn+1,…bm+n,en+1,…em+n]T (7)
There is optimization aim when abandoning wind：
g1=[b1+ε,…bn+ε,bn+1+ε,…,bm+n+ε,en+1,…em+n]T (9)
Because electric boiler only abandons wind abandoning the consumption of wind moment access system, therefore variable is not separately provided, but must be when abandoning wind The relation that electric boiler is accessed between heat supply ratio and total activation cost that finds is carved, to determine that electric boiler is abandoning the optimal confession at wind moment Heat；
3) abandon wind consumption coordinative dispatching model operation constraints analysis and solve
The constraints for abandoning wind consumption scheduling model containing heat accumulation and electric boiler electric heating integrated system is included independent of scene Constraint and rely on scene constraint two large divisions；
Constraint independent of scene：
Electric load Constraints of Equilibrium：
Wherein：Pi,tRepresent i-th conventional thermoelectricity or the generated output of cogeneration units t；
Pw,tRepresent that the prediction of w typhoon group of motors ts is contributed；
PEB,tRepresent the electrical power that t access electric boiler heat supply is consumed；
Pwcur,tRepresent t abandons wind power；
LE,tThe electric load of expression system t；
Unit output constrains：
Pi,min≤Pi,t≤Pi,max (11)
Wherein：Pi,minRepresent conventional thermoelectricity or the minimum generated output of cogeneration units t；
Pi,maxRepresent the maximum power generation of conventional thermoelectricity or cogeneration units t；
Conventional fired power generating unit Climing constant：
-Pd,i≤Pi,t-Pi,t-1≤Pu,i (12)
Wherein：Pd,iRepresent the upward climbing rate of i-th conventional fired power generating unit, Pu,iRepresent i-th conventional fired power generating unit to Under climbing rate；
Pi,tRepresent the generated output of i-th conventional fired power generating unit t；
Heat supply Constraints of Equilibrium：
Wherein：For the heating power of i-th cogeneration units t；
PEB,tFor t electric boiler heating power；
η is electric boiler electric conversion efficiency, takes 0.99；
Contributed for the heat of i-th heat-storing device t, heat output is on the occasion of being heat accumulation for heat supply, negative value；
LH,tFor the thermic load of system t；
For the consideration of sustainable operation, heat-storing device need to meet regenerative capacity constant constraint dispatching cycle when running, That is the amount of stored heat of heat-storing device need to keep given initial value, therefore all operations constraint bag that its needs meets after a dispatching cycle Include storage, heat release power constraint, maximum size constraint and cycle capacity constraint independent of time：
Wherein：For i-th heat-storing device t quantity of heat storage；
For the maximum heat accumulation power of i-th heat-storing device,For the exothermic maximum power of i-th heat-storing device；
Si.maxFor the regenerative capacity of i-th heat-storing device；
For storage of i-th heat-storing device in t, heat release power；
Q is the total quantity of heat-storing device；
Rely on the constraint of scene：
Due to having divided some scenes according to the Electrothermal Properties of cogeneration units, and the Climing constant of cogeneration units For the Climing constant under reduction to pure condensate operating mode, therefore difference is provided two by the Climing constant formula under different scenes individually below The branch scape Climing constant formula of platform cogeneration units：
For such as formula of the Climing constant under scene 1 and scene 2 (15) Suo Shi：
Wherein：PgFor output reduction value；
PeContributed for any electricity；
PgxxFor the lower limit of cogeneration units output reduction value；
PgsxFor the upper limit of cogeneration units output reduction value；
Pu,chp、Pd,chpThe respectively creep speed up and down of cogeneration units；
Pg,t-1The reduction value contributed for previous period cogeneration units；
For such as formula of the Climing constant under scene 3 (16) Suo Shi：
For 5 times Climing constants of scene 4 and scene such as formula (17) Suo Shi：
Wherein：Pg1、Pg0For the output reduction value of typical operating point；
Pmin0For cogeneration units not heat supply when minimum electricity contribute；
PHContributed for any heat；
Cv1、Cv2、Cv3For the preset parameter of cogeneration units, value is respectively 0.151,0.068 and 4.958；
δ1、δ2、δ3For cogeneration units preset parameter, value is respectively 130.698,45.076 and -34.825；
Climing constant addition model solution, each moment from being solved the 2nd moment are tried to achieve most based on the previous moment Climing constant formula under excellent result and different scenes, determine the cogeneration units climbing model under the moment special scenes Enclose；
The characteristics of carrying out the scheduling of electric heating Joint economics using branch scape interior point method is with timing, and when each independent Section, heat-storing device heat release is by the reduction for causing the equivalent total heating demand of cogeneration units so as to causing its to couple electric output lower limit Reduction, and then cause and abandon the online increase of wind period wind-powered electricity generation, rather than abandon the more preferable unit of economy in wind period system and undertake more More loads, total activation load is advantageously reduced, however, this is contradicted with heat-storing device periodicity amount of stored heat constraint independent of time, storage The hot period will be unable to determine, to solve the problem, outer layer determines heat-storing device best effort plan using EGA, and then obtains heat Equivalent total heating demand of unit is produced in Electricity Federation, then obtains optimal electric heating using branch scape Hessian matrix interior point methods in internal layer Combined dispatching plan and the fitness of outer layer population, finally according to EGA usual flow iteration optimizing.
A kind of electric heating integrated system based on scene partitioning of the present invention abandons wind consumption coordinative dispatching model, is for China Wind problem is abandoned caused by the constraint of northern area heat supply in winter phase cogeneration units coupled thermomechanics, at the method for scene partitioning The electric heating interconnection constraint of cogeneration units is managed, scheduling model is solved using EGA-IPM methods, analyzes electric boiler heat supply ratio Example is with including the relation for abandoning the system total activation cost including eolian and operating cost, contrast heat-storing device different operating mode And cogeneration of heat and power containing heat accumulation and the economy during tune heat supply of grill pan furnace system, there is at utmost consumption to abandon wind while obtain most The advantages that good economy, formulate operation plan a few days ago for dispatching of power netwoks department and foundation is provided.
Brief description of the drawings
Fig. 1 is the IEEE30 node topology structural representations containing wind power plant and cogeneration units；
Fig. 2 is the electricity of electric heating association system, heat load prediction curve synoptic diagram；
Fig. 3 is wind speed and wind power output prediction curve schematic diagram；
Fig. 4 is the structural representation of electric heating integrated system；
Fig. 5 is that genetic algorithm containing elitism strategy solves schematic flow sheet；
The scheduling cost schematic diagram at system each moment when Fig. 6 is different heat-supplying modes；
System each moment abandons landscape condition contrast schematic diagram when Fig. 7 is different heat-supplying modes；
Fig. 8 is the relation schematic diagram for abandoning wind moment electric boiler heat supply ratio and system total activation cost.
Embodiment
Wind consumption association is abandoned to a kind of electric heating integrated system based on scene partitioning of the present invention below with drawings and examples Scheduling model is adjusted to be described further.
The present invention is that a kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model, is drawn using scene The electric heating interconnection constraint for the method processing cogeneration units divided, electric heating Joint economics tune is carried out using branch scape EGA-IPM methods Degree, outer layer determine heat-storing device best effort plan (storage, the heat release power that set each period) using EGA, and internal layer, which uses, to be divided Scene Hessian matrix interior point methods obtain optimal electric heating combined dispatching plan, specifically include following steps：
1) electric heating integrated system structure is established
Electric heating integrated system is made up of wind farm group, conventional fired power generating unit, cogeneration units containing heat accumulation and electric boiler.Storage Thermal is arranged on cogeneration units side to decouple electro thermal coupling constraint, increases the flexibility of its output；Electric boiler is arranged on Electric load side, when abandoning wind access heat supply abandon wind to dissolve；
2) foundation of wind consumption coordinative dispatching model optimization aim is abandoned
The scheduling of electric heating Joint economics is generally with the minimum regulation goal of system cost of electricity-generating, to examine heat-storing device and grill pan Stove, which dissolves, abandons the effect of wind power, is added in cost and abandons eolian, thus the object function of model include unit operation cost and Abandon shown in eolian two parts such as formula (1)-formula (3)：
Cost=Costopr+Costwcur (1)
Wherein：M is the total number of units of cogeneration units, and n is the total number of units of conventional fired power generating unit, ai,bi,ci,di,ei,fiFor heat Produce unit operation cost coefficient, P in Electricity FederationiElectricity for i-th unit is contributed, PH iHeat for i-th cogeneration units is contributed, ε To abandon wind cost coefficient, k is wind power plant number, PwFor the output P of w-th of wind power plantLFor system total load；
When being optimized using interior point method to above-mentioned target, the general type of Non-Linear Programming is solved with reference to interior point method, Whether occur according to wind is abandoned, the interior point method optimization aim not comprising constant term is respectively：
Nothing abandons optimization aim during wind：
g0=[b1,b2,bn,bn+1,…bm+n,en+1,…em+n]T (7)
There is optimization aim when abandoning wind：
g1=[b1+ε,…bn+ε,bn+1+ε,…,bm+n+ε,en+1,…em+n]T (9)
Because electric boiler only abandons wind abandoning the consumption of wind moment access system, therefore variable is not separately provided, but must be when abandoning wind The relation that electric boiler is accessed between heat supply ratio and total activation cost that finds is carved, to determine that electric boiler is abandoning the optimal confession at wind moment Heat；
3) abandon wind consumption coordinative dispatching model operation constraints analysis and solve
The constraints for abandoning wind consumption scheduling model containing heat accumulation and electric boiler electric heating integrated system is included independent of scene Constraint and rely on scene constraint two large divisions；
Constraint independent of scene：
Electric load Constraints of Equilibrium：
Wherein：Pi,tRepresent i-th conventional thermoelectricity or the generated output of cogeneration units t, Pw,tRepresent w typhoons The prediction of group of motors t is contributed, PEB,tRepresent the electrical power that t access electric boiler heat supply is consumed, Pwcur,tWhen representing t That carves abandons wind power, LE,tThe electric load of expression system t；
Unit output constrains：
Pi,min≤Pi,t≤Pi,max (11)
Wherein：Pi,minRepresent conventional thermoelectricity or the minimum generated output of cogeneration units t, Pi,maxRepresent conventional The maximum power generation of thermoelectricity or cogeneration units t；
Conventional fired power generating unit Climing constant：
-Pd,i≤Pi,t-Pi,t-1≤Pu,i (12)
Wherein：Pd,iRepresent the upward climbing rate of i-th conventional fired power generating unit, Pu,iRepresent i-th conventional fired power generating unit to Under climbing rate, Pi,tRepresent the generated output of i-th conventional fired power generating unit t；
Heat supply Constraints of Equilibrium：
Wherein：For the heating power of i-th cogeneration units t, PEB,tFor t electric boiler heating power, η For electric boiler electric conversion efficiency, 0.99 is taken,Contributed for the heat of i-th heat-storing device t, the heat is contributed on the occasion of for confession Heat, negative value are heat accumulation, LH,tFor the thermic load of system t；
For the consideration of sustainable operation, heat-storing device need to meet regenerative capacity constant constraint dispatching cycle when running, That is the amount of stored heat of heat-storing device need to keep given initial value, therefore all operations constraint bag that its needs meets after a dispatching cycle Include storage, heat release power constraint, maximum size constraint and cycle capacity constraint independent of time：
Wherein：For i-th heat-storing device t quantity of heat storage,For the maximum heat accumulation work(of i-th heat-storing device Rate,For the exothermic maximum power of i-th heat-storing device, Si.maxFor the regenerative capacity of i-th heat-storing device,For i-th Storage of the platform heat-storing device in t, heat release power, q are the total quantity of heat-storing device；
Rely on the constraint of scene：
Due to having divided some scenes according to the Electrothermal Properties of cogeneration units, and the Climing constant of cogeneration units For the Climing constant under reduction to pure condensate operating mode, therefore difference is provided two by the Climing constant formula under different scenes individually below The branch scape Climing constant formula of platform cogeneration units：
For such as formula of the Climing constant under scene 1 and scene 2 (15) Suo Shi：
Wherein：PgFor output reduction value, PeContributed for any electricity, PgxxFor the lower limit of cogeneration units output reduction value, PgsxFor the upper limit of cogeneration units output reduction value, Pu,chpFor the upward creep speed of cogeneration units, Pd,chpFor heat Produce the downward creep speed of unit, P in Electricity Federationg,t-1The reduction value contributed for previous period cogeneration units；
For such as formula of the Climing constant under scene 3 (16) Suo Shi：
For 5 times Climing constants of scene 4 and scene such as formula (17) Suo Shi：
Wherein：Pg1、Pg0For the output reduction value of typical operating point, Pmin0For cogeneration units not heat supply when minimum electricity Contribute, PHContributed for any heat, Cv1、Cv2、Cv3For the preset parameter of cogeneration units, value be respectively 0.151,0.068 and 4.958 δ1、δ2、δ3For cogeneration units preset parameter, value is respectively 130.698,45.076 and -34.825；
Climing constant addition model solution, each moment from being solved the 2nd moment are tried to achieve most based on the previous moment Climing constant formula under excellent result and different scenes, determine the cogeneration units climbing model under the moment special scenes Enclose.
The characteristics of carrying out the scheduling of electric heating Joint economics using branch scape interior point method is with timing, and when each independent Section, heat-storing device heat release is by the reduction for causing the equivalent total heating demand of cogeneration units so as to causing its to couple electric output lower limit Reduction, and then cause and abandon the online increase of wind period wind-powered electricity generation, rather than abandon the more preferable unit of economy in wind period system and undertake more More loads, advantageously reduce total activation load.However, this is contradicted with heat-storing device periodicity amount of stored heat constraint independent of time, storage The hot period will be unable to determine.To solve the problem, outer layer determines heat-storing device best effort plan using EGA, and then obtains heat Equivalent total heating demand of unit is produced in Electricity Federation, then obtains optimal electric heating using branch scape Hessian matrix interior point methods in internal layer Combined dispatching plan and the fitness of outer layer population, finally according to EGA usual flow iteration optimizing.
As shown in figure 1, the present embodiment uses IEEE30 nodal analysis methods, the conventional power unit at former 5 nodes and 8 nodes is changed to Cogeneration units, and Wind turbines are accessed at 15 nodes, the cogeneration units configuration heat-storing device at system #8 nodes, Its maximum storage system power is 50MW, and maximum heat storage capacity is 400MWh.Wind energy turbine set installed capacity is 298.5MW, containing 348 Platform 850kW blower fans.Adding heat-storing device by simulation analysis, (wind energy power is abandoned in front and rear system consumption and scheduling is economical with electric boiler Property change), the established model of checking abandons wind consumption space for further expanding power network, saves and dispatch the effect of cost. Cogeneration units and the parameter of other units are as shown in table 1, the electricity of electric heating association system, heat load prediction curve such as Fig. 2 institutes Show, wind speed and output prediction curve are as shown in Figure 3.
The parameter of the cogeneration units of table 1 and other units
1. electric heating integrated system structure is established
The structure of electric heating integrated system is as shown in figure 4, system is joined by wind farm group, conventional fired power generating unit, thermoelectricity containing heat accumulation Produce unit and electric boiler composition.Heat-storing device is arranged on cogeneration units side to decouple electro thermal coupling constraint, increases its output Flexibility；Electric boiler is arranged on electric load side, and heat supply is accessed when abandoning wind and abandons wind to dissolve.
2. abandon the foundation of wind consumption coordinative dispatching model optimization aim
Electric heating Joint economics are dispatched generally with the minimum regulation goal of system cost of electricity-generating.To examine heat-storing device and grill pan Stove, which dissolves, abandons the effect of wind power, is added in cost and abandons eolian, thus the object function of model include unit operation cost and Abandon eolian two parts.
3. abandon wind consumption coordinative dispatching model operation constraints analysis and solve
The constraints for abandoning wind consumption scheduling model containing heat accumulation and electric boiler electric heating integrated system is included independent of scene Constraint and rely on scene constraint two large divisions.It is as shown in Figure 5 to abandon wind consumption coordinative dispatching model solution procedure.
Electric boiler in the present embodiment is central heating formula, is arranged on load side, and system is accessed only at the time of there is abandoning wind System heat supply abandons wind to dissolve.Example compared for the economy of following three kinds of heat-supplying modes：
Mode 1：Heat-storing device does not work with electric boiler
For system by Conventional thermoelectric coproduction unit heat supply, coupled thermomechanics constraint have compressed wind-powered electricity generation online space.
Mode 2：Cogeneration units set heat accumulation
#3 units install heat-storing device additional, do not consider electric boiler heat supply, can flexible modulation cogeneration of heat and power machine by heat-storing device The output of group, there is provided wind space is abandoned in certain consumption.
Mode 3：Electric boiler cooperates with heat supply with heat-storing device
#3 units are cogeneration units containing heat accumulation, and are abandoning wind period access electric boiler, can further expand power network and abandon Wind dissolves space.
The scheduling cost at system each moment contrasts respectively as shown in Figure 6, Figure 7 with landscape condition is abandoned during different heat-supplying modes, warp The scheduling performance that helps is more as shown in table 2.
The economic load dispatching performance comparision of 2 three kinds of heat-supplying modes of table
Obviously, wind-powered electricity generation can not be dissolved completely by only relying on heat-storing device, therefore electric boiler needs and heat-storing device co-ordination So that wind-powered electricity generation online space maximizes.
When abandoning the access electric boiler heat supply of wind moment, certain relation be present between its heat supply ratio and total activation cost, Fig. 8 gives When going out for the 3rd~5 period and occurring abandoning wind, after all before the moment abandon the wind moment in optimal heat supply ratio heat supply, the moment The relation of electric boiler heat supply ratio and total activation cost.
Part of the curve on the left of optimal heat supply ratio point is approximate linearly to successively decrease, and reason is with electric boiler heat supply The increase of ratio, the issuable wind-powered electricity generation amount of abandoning of traditional heating mode are gradually consumed by electric boiler, both approximately linear passes System；Part of the curve on the right side of optimal heat supply ratio point first increases to be subtracted afterwards, and the Unit Combination state of system changes at flex point.Electricity After boiler heat supplying ratio reaches certain limiting value less than 1, it will be unable to be further added by.In a word, abandoned when heat-storing device can not dissolve completely During wind, by the way of electric boiler cooperates with heat supply with cogeneration units containing heat accumulation, total economic load dispatching cost of system can reach Minimum value 348389.91, nothing abandon wind and reduce 9.01% than scheduling cost when being added without heat-storing device and electric boiler.Can See, power network consumption can be further expanded by the way of heat supply is cooperateed with and abandons wind space, reduce system call cost.
Design conditions, legend in the embodiment of the present invention etc. are only used for that the present invention is further illustrated, not exhaustive, Do not form the restriction to claims, the enlightenment that those skilled in the art obtain according to embodiments of the present invention, no Other substantially equivalent replacements are would occur to by creative work, are all fallen in the scope of protection of the present invention.

Claims (1)

1. a kind of electric heating integrated system based on scene partitioning abandons wind consumption coordinative dispatching model, it is characterized in that, drawn using scene The electric heating interconnection constraint for the method processing cogeneration units divided, electric heating Joint economics tune is carried out using branch scape EGA-IPM methods Degree, outer layer determines heat-storing device best effort plan using EGA, sets storage, the heat release power of each period, and internal layer uses branch Scape Hessian matrix interior point methods obtain optimal electric heating combined dispatching plan, specifically include following steps：
1) electric heating integrated system structure is established
Electric heating integrated system is made up of wind farm group, conventional fired power generating unit, cogeneration units containing heat accumulation and electric boiler, heat accumulation dress Put and be arranged on cogeneration units side to decouple electro thermal coupling constraint, increase the flexibility of its output；It is negative that electric boiler is arranged on electricity Lotus side, when abandoning wind access heat supply abandon wind to dissolve；
2) foundation of wind consumption coordinative dispatching model optimization aim is abandoned
The scheduling of electric heating Joint economics is generally with the minimum regulation goal of system cost of electricity-generating, to examine heat-storing device and electric boiler to disappear Receive the effect for abandoning wind power, added in cost and abandon eolian, therefore the object function of model includes unit operation cost and abandons wind Shown in cost two parts such as formula (1)-formula (3)：
Cost=Costopr+Costwcur (1)
<mrow> <mtable> <mtr> <mtd> <mrow> <msub> <mi>Cost</mi> <mrow> <mi>o</mi> <mi>p</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </munderover> <mrow> <mo>(</mo> <msub> <mi>a</mi> <mi>i</mi> </msub> <msubsup> <mi>P</mi> <mi>i</mi> <mn>2</mn> </msubsup> <mo>+</mo> <msub> <mi>b</mi> <mi>i</mi> </msub> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>+</mo> <msub> <mi>c</mi> <mi>i</mi> </msub> <mo>)</mo> </mrow> <mo>+</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </munderover> <mrow> <mo>&amp;lsqb;</mo> <mrow> <msub> <mi>d</mi> <mi>i</mi> </msub> <msup> <mrow> <mo>(</mo> <msubsup> <mi>P</mi> <mi>i</mi> <mi>H</mi> </msubsup> <mo>)</mo> </mrow> <mn>2</mn> </msup> <mo>+</mo> <msub> <mi>e</mi> <mi>i</mi> </msub> <msubsup> <mi>P</mi> <mi>i</mi> <mi>H</mi> </msubsup> <mo>+</mo> <msub> <mi>f</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>&amp;CenterDot;</mo> <msubsup> <mi>P</mi> <mi>i</mi> <mi>H</mi> </msubsup> </mrow> <mo>&amp;rsqb;</mo> </mrow> </mrow> </mtd> </mtr> </mtable> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow>
<mrow> <msub> <mi>Cost</mi> <mrow> <mi>w</mi> <mi>c</mi> <mi>u</mi> <mi>r</mi> </mrow> </msub> <mo>=</mo> <mi>&amp;epsiv;</mi> <mo>&amp;CenterDot;</mo> <mrow> <mo>(</mo> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </munderover> <msub> <mi>P</mi> <mi>i</mi> </msub> <mo>+</mo> <munderover> <mi>&amp;Sigma;</mi> <mrow> <mi>w</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>k</mi> </munderover> <msub> <mi>P</mi> <mi>w</mi> </msub> <mo>-</mo> <msub> <mi>P</mi> <mi>L</mi> </msub> <mo>)</mo> </mrow> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow>
Wherein：M is the total number of units of cogeneration units；
N is the total number of units of conventional fired power generating unit；
ai,bi,ci,di,ei,fiFor cogeneration units operating cost coefficient；
PiElectricity for i-th unit is contributed；
Heat for i-th cogeneration units is contributed；
ε is to abandon wind cost coefficient；
K is wind power plant number；
PwFor the output of w-th of wind power plant；
PLFor system total load；
When being optimized using interior point method to above-mentioned target, the general type of Non-Linear Programming is solved with reference to interior point method, according to Abandon wind whether to occur, the interior point method optimization aim not comprising constant term is respectively：
Nothing abandons optimization aim during wind：
<mrow> <mi>min</mi> <mi> </mi> <mi>C</mi> <mi>o</mi> <mi>s</mi> <mi>t</mi> <mo>=</mo> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <msup> <mi>x</mi> <mi>T</mi> </msup> <msub> <mi>H</mi> <mn>0</mn> </msub> <mi>x</mi> <mo>+</mo> <msubsup> <mi>g</mi> <mn>0</mn> <mi>T</mi> </msubsup> <mi>x</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow>
<mrow> <mi>x</mi> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msub> <mi>x</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>x</mi> <mn>2</mn> </msub> <mo>,</mo> <mo>...</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </msub> <mo>,</mo> <msub> <mi>x</mi> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> </msub> <mo>,</mo> <mo>...</mo> <msub> <mi>x</mi> <mrow> <mn>2</mn> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </msub> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> <mo>=</mo> <msup> <mrow> <mo>&amp;lsqb;</mo> <msub> <mi>P</mi> <mn>1</mn> </msub> <mo>,</mo> <msub> <mi>P</mi> <mrow> <mn>2</mn> <mo>,</mo> </mrow> </msub> <mo>...</mo> <msub> <mi>P</mi> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> </msub> <mo>,</mo> <msubsup> <mi>P</mi> <mrow> <mi>n</mi> <mo>+</mo> <mn>1</mn> </mrow> <mi>H</mi> </msubsup> <mo>,</mo> <msubsup> <mi>P</mi> <mrow> <mi>m</mi> <mo>+</mo> <mi>n</mi> </mrow> <mi>H</mi> </msubsup> <mo>&amp;rsqb;</mo> </mrow> <mi>T</mi> </msup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow> 1
g0=[b1,b2,bn,bn+1,…bm+n,en+1,…em+n]T (7)
There is optimization aim when abandoning wind：
<mrow> <mi>min</mi> <mi> </mi> <mi>C</mi> <mi>o</mi> <mi>s</mi> <mi>t</mi> <mo>=</mo> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> <msup> <mi>x</mi> <mi>T</mi> </msup> <msub> <mi>H</mi> <mn>0</mn> </msub> <mi>x</mi> <mo>+</mo> <msubsup> <mi>g</mi> <mn>1</mn> <mi>T</mi> </msubsup> <mi>x</mi> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>8</mn> <mo>)</mo> </mrow> </mrow>
g1=[b1+ε,…bn+ε,bn+1+ε,…,bm+n+ε,en+1,…em+n]T (9)
Because electric boiler only abandons wind abandoning the consumption of wind moment access system, therefore variable is not separately provided, but must be looked for abandoning the wind moment The relation accessed to electric boiler between heat supply ratio and total activation cost, to determine that electric boiler is abandoning the optimal heat supply at wind moment Amount；
3) abandon wind consumption coordinative dispatching model operation constraints analysis and solve
The constraints for abandoning wind consumption scheduling model containing heat accumulation and electric boiler electric heating integrated system includes the pact independent of scene Beam and the constraint two large divisions for relying on scene；
Constraint independent of scene：
Electric load Constraints of Equilibrium：
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mrow> <mi>n</mi> <mo>+</mo> <mi>m</mi> </mrow> </munderover> <msub> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>w</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>k</mi> </munderover> <msub> <mi>P</mi> <mrow> <mi>w</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>L</mi> <mrow> <mi>E</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>E</mi> <mi>B</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>w</mi> <mi>c</mi> <mi>u</mi> <mi>r</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>=</mo> <mn>0</mn> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>10</mn> <mo>)</mo> </mrow> </mrow>
Wherein：Pi,tRepresent i-th conventional thermoelectricity or the generated output of cogeneration units t；
Pw,tRepresent that the prediction of w typhoon group of motors ts is contributed；
PEB,tRepresent the electrical power that t access electric boiler heat supply is consumed；
Pwcur,tRepresent t abandons wind power；
LE,tThe electric load of expression system t；
Unit output constrains：
Pi,min≤Pi,t≤Pi,max (11)
Wherein：Pi,minRepresent conventional thermoelectricity or the minimum generated output of cogeneration units t；
Pi,maxRepresent the maximum power generation of conventional thermoelectricity or cogeneration units t；
Conventional fired power generating unit Climing constant：
-Pd,i≤Pi,t-Pi,t-1≤Pu,i (12)
Wherein：Pd,iRepresent the upward climbing rate of i-th conventional fired power generating unit, Pu,iRepresent that i-th conventional fired power generating unit is downward Climbing rate；
Pi,tRepresent the generated output of i-th conventional fired power generating unit t；
Heat supply Constraints of Equilibrium：
<mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>m</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mi>H</mi> </msubsup> <mo>+</mo> <msubsup> <mi>P</mi> <mrow> <mi>E</mi> <mi>B</mi> <mo>,</mo> <mi>t</mi> </mrow> <mi>H</mi> </msubsup> <mo>+</mo> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>i</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>q</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>i</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>T</mi> <mi>S</mi> </mrow> </msubsup> <mo>=</mo> <msub> <mi>L</mi> <mrow> <mi>H</mi> <mo>,</mo> <mi>t</mi> </mrow> </msub> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>13</mn> <mo>)</mo> </mrow> </mrow> 2
Wherein：PH i, t are the heating power of i-th cogeneration units t；
PEB,tFor t electric boiler heating power；
η is electric boiler electric conversion efficiency, takes 0.99；
PTS i, t are the heat output of i-th heat-storing device t, and heat output is on the occasion of being heat accumulation for heat supply, negative value；
LH,tFor the thermic load of system t；
For the consideration of sustainable operation, heat-storing device need to meet regenerative capacity constant constraint dispatching cycle when running, i.e., one The amount of stored heat of heat-storing device need to keep given initial value after individual dispatching cycle, therefore all operations constraint that its needs meets includes Storage, the constraint of heat release power constraint, maximum size and cycle capacity constraint independent of time：
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mi>t</mi> </msubsup> <mo>-</mo> <msubsup> <mi>S</mi> <mi>i</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>=</mo> <msubsup> <mi>P</mi> <mrow> <mi>c</mi> <mi>r</mi> <mo>.</mo> <mi>i</mi> </mrow> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mrow> <mi>h</mi> <mo>.</mo> <mi>c</mi> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>i</mi> </msubsup> <mo>;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mrow> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>-</mo> <msubsup> <mi>S</mi> <mi>i</mi> <mi>t</mi> </msubsup> <mo>=</mo> <msubsup> <mi>P</mi> <mrow> <mi>c</mi> <mi>r</mi> <mo>.</mo> <mi>i</mi> </mrow> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msubsup> <mi>P</mi> <mrow> <mi>h</mi> <mo>.</mo> <mi>f</mi> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> <mi>i</mi> </msubsup> <mo>;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msubsup> <mi>S</mi> <mi>i</mi> <mi>t</mi> </msubsup> <mo>&amp;le;</mo> <msub> <mi>S</mi> <mrow> <mi>i</mi> <mo>.</mo> <mi>m</mi> <mi>a</mi> <mi>x</mi> </mrow> </msub> <mo>;</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <munderover> <mo>&amp;Sigma;</mo> <mrow> <mi>t</mi> <mo>=</mo> <mn>1</mn> </mrow> <mi>T</mi> </munderover> <msubsup> <mi>P</mi> <mrow> <mi>j</mi> <mo>,</mo> <mi>t</mi> </mrow> <mrow> <mi>T</mi> <mi>S</mi> </mrow> </msubsup> <mo>=</mo> <mn>0</mn> <mo>,</mo> <mrow> <mo>(</mo> <mi>j</mi> <mo>=</mo> <mn>1</mn> <mo>,</mo> <mn>2</mn> <mo>,</mo> <mo>...</mo> <mi>q</mi> <mo>)</mo> </mrow> <mo>;</mo> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>14</mn> <mo>)</mo> </mrow> </mrow>
Wherein：St i are quantity of heat storage of i-th heat-storing device in t；
Pi h.cmax are the maximum heat accumulation power of i-th heat-storing device, and Pi h.fmax are the exothermic maximum of i-th heat-storing device Power；
Si.maxFor the regenerative capacity of i-th heat-storing device；
Pt cr.i are storage of i-th heat-storing device in t, heat release power；
Q is the total quantity of heat-storing device；
Rely on the constraint of scene：
Due to having divided some scenes according to the Electrothermal Properties of cogeneration units, and the Climing constant of cogeneration units is to return Calculate the Climing constant under pure condensate operating mode, therefore difference is provided two heat by the Climing constant formula under different scenes individually below Produce the branch scape Climing constant formula of unit in Electricity Federation：
For such as formula of the Climing constant under scene 1 and scene 2 (15) Suo Shi：
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>=</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>d</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>15</mn> <mo>)</mo> </mrow> </mrow>
Wherein：PgFor output reduction value；
PeContributed for any electricity；
PgxxFor the lower limit of cogeneration units output reduction value；
PgsxFor the upper limit of cogeneration units output reduction value；
Pu,chp、Pd,chpThe respectively creep speed up and down of cogeneration units；
Pg,t-1The reduction value contributed for previous period cogeneration units；
For such as formula of the Climing constant under scene 3 (16) Suo Shi：
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>=</mo> <mfrac> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mi>e</mi> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> </msub> <mo>)</mo> <mo>&amp;CenterDot;</mo> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>0</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mn>0</mn> </mrow> </msub> <mo>)</mo> </mrow> <mrow> <mo>(</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>0</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> </mfrac> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>m</mi> <mi>i</mi> <mi>n</mi> <mn>0</mn> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>d</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>1</mn> </mrow> </msub> <mo>=</mo> <mo>-</mo> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>2</mn> </mrow> </msub> <msub> <mi>P</mi> <mi>H</mi> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mn>2</mn> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mn>0</mn> </mrow> </msub> <mo>=</mo> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>3</mn> </mrow> </msub> <msub> <mi>P</mi> <mi>H</mi> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mn>3</mn> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>16</mn> <mo>)</mo> </mrow> </mrow>
For 5 times Climing constants of scene 4 and scene such as formula (17) Suo Shi：
<mrow> <mfenced open = "{" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>&amp;le;</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mi>g</mi> </msub> <mo>=</mo> <mfrac> <mrow> <msub> <mi>P</mi> <mi>e</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>&amp;delta;</mi> <mn>1</mn> </msub> <mo>-</mo> <msub> <mi>&amp;delta;</mi> <mn>2</mn> </msub> <mo>)</mo> </mrow> <mo>+</mo> <msub> <mi>P</mi> <mi>H</mi> </msub> <mrow> <mo>(</mo> <msub> <mi>&amp;delta;</mi> <mn>1</mn> </msub> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>&amp;delta;</mi> <mn>2</mn> </msub> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>1</mn> </mrow> </msub> <mo>)</mo> </mrow> </mrow> <mrow> <mo>(</mo> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>2</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>C</mi> <mrow> <mi>v</mi> <mn>1</mn> </mrow> </msub> <mo>)</mo> <mo>&amp;CenterDot;</mo> <msub> <mi>P</mi> <mi>H</mi> </msub> <mo>+</mo> <msub> <mi>&amp;delta;</mi> <mn>1</mn> </msub> <mo>-</mo> <msub> <mi>&amp;delta;</mi> <mn>2</mn> </msub> </mrow> </mfrac> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>x</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>-</mo> <msub> <mi>P</mi> <mrow> <mi>d</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mi>s</mi> <mi>x</mi> </mrow> </msub> <mo>=</mo> <msub> <mi>P</mi> <mrow> <mi>g</mi> <mo>,</mo> <mi>t</mi> <mo>-</mo> <mn>1</mn> </mrow> </msub> <mo>+</mo> <msub> <mi>P</mi> <mrow> <mi>u</mi> <mo>,</mo> <mi>c</mi> <mi>h</mi> <mi>p</mi> </mrow> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>17</mn> <mo>)</mo> </mrow> </mrow>
Wherein：Pg1、Pg0For the output reduction value of typical operating point；
Pmin0For cogeneration units not heat supply when minimum electricity contribute；
PHContributed for any heat；
Cv1、Cv2、Cv3For the preset parameter of cogeneration units, value is respectively 0.151,0.068 and 4.958；
δ1、δ2、δ3For cogeneration units preset parameter, value is respectively 130.698,45.076 and -34.825；
Climing constant addition model solution, optimal knot that each moment is tried to achieve based on the previous moment from being solved the 2nd moment Climing constant formula under fruit and different scenes, determine the cogeneration units climbing scope under the moment special scenes；
The characteristics of scheduling of electric heating Joint economics is carried out using branch scape interior point method be with timing, and in each independent period, Heat-storing device heat release is by the reduction for causing the equivalent total heating demand of cogeneration units so as to causing it to couple electric output lower limit Reduce, and then cause and abandon the online increase of wind period wind-powered electricity generation, rather than abandon the more preferable unit of economy in wind period system and undertake more Load, total activation load is advantageously reduced, however, this is contradicted with heat-storing device periodicity amount of stored heat constraint independent of time, heat accumulation Period will be unable to determine, to solve the problem, outer layer determines heat-storing device best effort plan using EGA, and then obtains thermoelectricity Equivalent total heating demand of coproduction unit, optimal electric heating is then obtained using branch scape Hessian matrix interior point methods in internal layer and joined Operation plan and the fitness of outer layer population are closed, finally according to EGA usual flow iteration optimizing.
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