CN103414213B - A kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor - Google Patents

A kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor Download PDF

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CN103414213B
CN103414213B CN201310351561.1A CN201310351561A CN103414213B CN 103414213 B CN103414213 B CN 103414213B CN 201310351561 A CN201310351561 A CN 201310351561A CN 103414213 B CN103414213 B CN 103414213B
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cost
capacitance sensor
carbon
micro
energy
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CN103414213A (en
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邓长虹
何俊
李浩然
汪少勇
廖毅
谭茂强
张雪焱
徐龙博
董英瑞
黎远思
张欢
汪荣舟
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Wuhan University WHU
China Energy Engineering Group Guangdong Electric Power Design Institute Co Ltd
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Wuhan University WHU
China Energy Engineering Group Guangdong Electric Power Design Institute Co Ltd
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    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

The present invention discloses a kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor, first using each power supply of relating in micro-capacitance sensor as a particle, by the number x of all kinds power supply ias one group of particle, set up population; Obtain and often organize particle in initial construction cost project period the electricity E sent within project period ti, the fuel cost O produced tiand operation and maintenance cost M ti; Then judge whether the constraints meeting setting, satisfied then current goal function calculates the fitness of population; Do not meet, then adopt penalty function to adjust the fitness of current particle group, the fitness according to calculating population selects optimal particle group; After selecting optimal particle group, until export the electricity optimization configuration that optimal solution obtains fabric of island-in-sea type micro-capacitance sensor after reaching the iterations of setting.Adopt the power configuration capacity of the optimum type selecting of the Algorithm for Solving of population, reduce the investment cost of micro-capacitance sensor in Life cycle, improve the stability of micro-capacitance sensor.

Description

A kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor
Technical field
The present invention relates to the method for a kind of electricity optimization configuration, especially relate to a kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor.Belong to micro-capacitance sensor configuring technical field.
Background technology
Growth along with World Economics and the dependence to fossil energy thereof, the carbon emission amount produced when fossil energy utilizes also significantly increases, thus the global warming issue caused becomes the focus that countries in the world are paid close attention to.Compared to the generation technology of traditional dependence fossil energy, utilize renewable new forms of energy to form distributed power source DG and can alleviate environmental pollution and carbon emission cost to greatest extent.But usually " uncontrollable " and " should not control ", existing electric power network technique still can not adapt to the access requirement of distributed power source DG to distributed power source DG completely.So the concept of micro-capacitance sensor is arisen at the historic moment.
Fabric of island-in-sea type micro-capacitance sensor, as a typical application model of micro-capacitance sensor, due to geographical conditions restriction, is difficult to the power supply obtaining urban power distribution network, under it runs on island mode throughout the year.But the geographical position of the uniqueness on island, makes its natural resources such as wind, light comparatively enrich in inland simultaneously, adopt the with the obvious advantage of distributed power source on island.
Chinese scholars is studied DG optimization allocation from different perspectives, and the distributed power source DG proposing various target different distributes computation model rationally.Such as, from cost of investment angle, with the investment of power distribution company and operating cost minimum for optimization aim; From fail-safe analysis angle, minimum for optimization aim with loss of outage, with reliability, safety indexes for constraints; From falling damage angle, minimum for optimization aim with losses of distribution network; From energy-conserving and environment-protective angle, be optimum to the maximum with DG installed capacity.What more have considers multiple optimization aim, forms the distributed power source DG Optimal Allocation Model with complex optimum performance.
The resource randomness of Island and intermittence, in cost calculation, each factors vary is all very large, causes the construction of its micro-capacitance sensor must consider the feature of Life cycle.
Summary of the invention
Object of the present invention is the resource randomness in order to consider in the project planning phase, and the complementary characteristic of Yi Jifeng, light, storage, provides a kind of electricity optimization collocation method of fabric of island-in-sea type micro-capacitance sensor.The method is from the Life cycle of micro-capacitance sensor construction, and optimum option often plants the configuration capacity of power supply, reduces the investment cost of this micro-capacitance sensor in Life cycle.
Object of the present invention can be achieved through the following technical solutions:
An electricity optimization collocation method for fabric of island-in-sea type micro-capacitance sensor, is characterized in that comprising the steps:
1) first using each power supply of relating in micro-capacitance sensor as a particle, by the number x of all kinds power supply ias one group of particle, set up population; Then the Optimal Parameters of population is set, initialization population, comprises the capability value of each power supply of setting in initial range, iterations t and iteration step length;
2) obtained by production simulation or obtain from existing database and often organize particle in initial construction cost project period , the electricity E sent within project period ti, the operation produced and fuel cost O tiwith maintenance cost M ti;
3) according to step 2) the construction cost I that obtains ti, the electricity E that sends within project period ti, the operation that produces and fuel cost O tiwith maintenance cost M ti, judge whether the constraints meeting setting, if meet reliability constraint, then calculate the fitness of population with current goal function; If do not meet, then adopt penalty function to adjust the fitness of current particle group, the fitness according to calculating population selects optimal particle group;
The expression formula of described current goal function is: C life j ( x ) = Σ t = j T + j Σ i = 1 N x i C pt i + x i I t i + x i O t i + x i M t i + x i F t i ( 1 + r ) t ,
The expression formula of described penalty function is: Cp = Σ t = j T + j x C pti + x I ti + x M ti + x F ti ( 1 + r ) t ;
4) after selecting optimal particle group, according to the iteration step length set in step 1), mutation operation is carried out to population, calculate iterations, often carry out primary particle group mutation operation and iterations is added 1;
5) judge whether iterations equals t, is, exports optimal solution, otherwise change x iafter return perform step 2)-step 4), until export optimal solution after reaching the iterations of setting; Obtain the electricity optimization configuration of fabric of island-in-sea type micro-capacitance sensor.
Object of the present invention can also be achieved through the following technical solutions:
Further: the constraints related in step 3) comprises:
1) power supply units limits: P i≤ p ix i, in formula, p ifor single-machine capacity, x ifor unit quantity;
2) reliability constraint, R lPSP≤ R max, R lPSPfor short of electricity probability, R maxmicro-capacitance sensor for annual islet operation runs maximum short of electricity probability.
Further: in step 3), the current goal function representation related to:
C life j ( x ) = Σ t = j T + j Σ i = 1 N x i C pt i + x i I t i + x i O t i + x i M t i + x i F t i ( 1 + r ) t
In target function, T is life cycle total length, and it is initial from jth year that j represents the Life cycle planning time limit, and N represents power supply type number, x ifor the number of all kinds power supply to be optimized; policy punishment suffered by the carbon emission that the utilization of high-carbon energy produces is at model, and its expression formula is: wherein ECO irepresent i-th kind of power supply to generate electricity every year produced CO 2quantity, PEN irepresent unit CO 2the carbon emission punishment produced;
represent initial construction cost project period of each micro battery, for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of each micro battery is fixing, only has the starting year to have construction cost;
for operation and the fuel cost of each micro battery, to high-carbon energy, annual operation and fuel cost are proportional to International Crude Oil then, and its expression formula is: in formula, the fuel cost proportionality coefficient of each high-carbon energy, be the energy output of i-th kind of power supply at t; P tfor the price of t in international crude petroleum; To low-carbon energy generating set, its annual operating and maintenance cost is proportional to unit capacity;
the year maintenance cost of each micro battery mainly needs the switching cost counting unit, calculates, if the maintenance cost of annual each micro battery is constant herein for simplifying;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project;
During each population optimizing, upgrade one group of x ivalue, accordingly upgrade simultaneously.
Further: in step 3), the penalty function expression formula related to is:
Cp = Σ t = j T + j x C pt + x I t + x O t + x M t + x F t ( 1 + r ) t
Wherein, when x is for only meeting workload demand with high-carbon unit, the number of required high-carbon unit;
T is life cycle total length, and it is initial from jth year that j represents the Life cycle planning time limit; C ptpolicy punishment suffered by the carbon emission that the utilization of high-carbon energy produces is at model, and its expression formula is: C pt=ECP*PEN, wherein ECO represents high-carbon unit and to generate electricity every year produced CO 2quantity, PEN represents unit CO 2the carbon emission punishment produced;
I trepresent initial construction cost project period of high-carbon unit, in the model set up herein, for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of high-carbon unit generation is fixing, only has the starting year to have construction cost;
O tfor operation and the fuel cost of high-carbon unit, to high-carbon energy, annual operation and fuel cost are proportional to International Crude Oil then, its expression formula: O t=K fC* E t* P tin formula, K fCthe fuel cost proportionality coefficient of high-carbon energy, E tfor high-carbon unit is at the energy output of t; P tfor the price of t in international crude petroleum;
M tfor the year maintenance cost of high-carbon unit mainly needs the switching cost counting unit, calculate, assuming that the maintenance cost of annual high-carbon unit generation is constant for simplifying herein;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project; During each population optimizing, upgrade the value of one group of x, corresponding C pt, I t, O t, M tupgrade simultaneously.
Further: each power supply of described micro-capacitance sensor comprises wind energy, solar energy, energy storage device and diesel engine.
The production simulation related to further: described step 2), adopt and preferentially utilize the unit of new forms of energy to call order, production simulation carries out as follows: when micro-capacitance sensor creates power shortage, and action gate-controlled switch drops into energy storage device; When new forms of energy exert oneself can meet current loads time, remaining electrical power storage is entered energy storage device; When the active volume of energy storage device can not make up power shortage, then adopt controlled back-up source generating.
Beneficial effect of the present invention:
1, the present invention is from the Life cycle of micro-capacitance sensor construction, take into full account the feature of sea island resources, resource randomness in the micro-capacitance sensor project planning phase, and wind, light, storage complementary characteristic, establish target function and constraints, adopt the algorithm pattern of population to solve the power configuration capacity of optimum type selecting, in the Life cycle that micro-capacitance sensor is built, cost is minimum, thus reduce the investment cost of micro-capacitance sensor in Life cycle, improve the stability of micro-capacitance sensor.
2, the present invention calculates based on population to optimize the method determining fabric of island-in-sea type micro-capacitance sensor power configuration, realizes following target: 1) minimum for optimization aim with operating cost to invest; 2) minimum for optimization aim with loss of outage; 3) take safety indexes as constraints; 4) with the most small tenon optimization aim of losses of distribution network; 5) from energy-conserving and environment-protective angle, optimal objective is to the maximum with DG installed capacity.What more have considers multiple optimization aim, forms the distributed power source DG Optimal Allocation Model with complex optimum performance.The algorithm proposed is compared with existing method, and computational speed is faster, easier and accuracy is high.
Accompanying drawing explanation
Fig. 1 is schematic flow sheet of the present invention.
Fig. 2 is the annual temperature resource in certain island curve chart in the present embodiment.
Fig. 3 is the annual wind speed resource in certain island curve chart in the present embodiment.
Fig. 4 is certain island annual illumination intensity resource curve chart in the present embodiment.
Fig. 5 be in the present embodiment certain in island year annual load supply curve chart.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further illustrated.
As shown in Figure 1, Figure 2, the electricity optimization collocation method of a kind of fabric of island-in-sea type micro-capacitance sensor shown in Fig. 3, Fig. 4 and Fig. 5, this micro-capacitance sensor adopts the Blast Furnace Top Gas Recovery Turbine Unit (TRT) such as wind energy, luminous energy, energy storage device and diesel engine formation, diesel engine power supply generating in support.The power source planning of micro-capacitance sensor Life cycle, mainly take into account the fuel cost, operation and maintenance cost etc. when the power construction expense at electrical network initial stage, operation of power networks, wherein fuel cost is relevant with the production simulation method of this electrical network in Life cycle, in production simulation, the order of calling of each unit affects gross generation in Life cycle, thus affects fuel cost.
The present invention preferentially adopts the unit of new forms of energy to call order, and production simulation carries out as follows:
When micro-capacitance sensor creates power shortage, action gate-controlled switch drops into energy storage device.When new forms of energy exert oneself can meet current loads time, remaining electrical power storage is entered energy storage device; When the active volume of energy storage device can not make up power shortage, then adopt controlled back-up source generating, described energy storage device adopts storage battery.
When new forms of energy are exerted oneself more than needed,
X dc ( t ) = X dc , X dc - X dc ( t - 1 ) ≤ E t X dc ( t - 1 ) + E t , X dc - X dc ( t - 1 ) > E t
Otherwise,
X dc ( t ) = 0 , X dc ( t - 1 ) ≤ E t X dc ( t - 1 ) - E t , X dc ( t - 1 ) > E t
In formula, X dct () is energy storage device current residual active volume SOC.X dc(t-1) be the capacity SOC of last hour energy storage device, X dcfor energy storage device heap(ed) capacity SOC, E tfor new forms of energy are exerted oneself and difference between load.
When the power shortage of last hour is just, and when the SOC of last hour energy storage device can not meet, standby controllable electric power is needed to generate electricity:
X dc(t-1)≤E t
Add up with this, the back-up source gross generation in Life cycle can be obtained.
After counting back-up source, when still can not meet power shortage, short of electricity in current hour:
X dc(t-1)-E t-E hb<0
In formula, E hbthe energy output of statement back-up source,
The number of times that cumulative this kind of situation occurs in Life cycle, can obtain total short of electricity hourage T miss, then Calculation of Reliability is:
R LPSP=T miss/T
Reliability=1-T miss/T
Wherein, reliability is the reliability of power supply, R lPSPfor short of electricity probability, T is hourage total in Life cycle.
Set up this project and build beginning from project period, run within project period, terminate to project period.With the cost minimization of the Life cycle of each power supply of micro-capacitance sensor within project period for target sets up cost model, improve PSO algorithm is adopted to solve optimum type selecting and capacity configuration scheme: to comprise the steps:
1) first using each power supply of relating in micro-capacitance sensor as a particle, by the number x of all kinds power supply ias one group of particle, set up population; Then the Optimal Parameters of population is set, initialization population, comprises the capability value of each power supply of setting in initial range, iterations t, speed and iteration step length etc.,
Numerical value in described iterations t, iteration step length label taking quasi particle group, iterations gets 1000, iteration step length gets 0.02.The capacity of known single unit, the n platform unit that in project period, the capability value of each power supply equals to plan is multiplied by the capacity of single unit;
2) obtained by production simulation or obtain from existing database and often organize particle in initial construction cost project period , the electricity E sent within project period ti, the operation produced and fuel cost O tiwith maintenance cost M ti;
3) according to step 2) the construction cost I that obtains ti, the electricity E that sends within project period ti, the operation that produces and fuel cost O tiwith maintenance cost M ti, judge whether the constraints simultaneously meeting setting, if meet reliability constraint, then calculate the fitness of population with current goal function; If do not meet, then adopt penalty function to adjust the fitness of current particle group, the fitness according to calculating population selects optimal particle group;
Described constraints comprises:
1) power supply units limits: P i≤ p ix i, in formula, p ifor single-machine capacity, x ifor unit quantity;
2) reliability constraint, R lPSP≤ R max, R lPSPfor short of electricity probability, R maxmicro-capacitance sensor for annual islet operation runs maximum short of electricity probability, or reliability reliability=1-R lPSP, the minimum reliability of setting micro-capacitance sensor is 0.99, reliability>=0.99.
The expression formula of described current goal function is: C life j ( x ) = &Sigma; t = j T + j &Sigma; i = 1 N x i C pt i + x i I t i + x i O t i + x i M t i + x i F t i ( 1 + r ) t ,
In target function, x ifor the number of all kinds power supply to be optimized; Wherein, T is life cycle total length, and j represents Life cycle and plans that the time limit is initial from jth year, and N represents power supply type number,
policy punishment suffered by the carbon emission that the utilization of high-carbon energy produces is at model, and its expression formula is: , wherein ECO irepresent i-th kind of power supply to generate electricity every year produced CO 2quantity, PEN irepresent unit CO 2the carbon emission punishment produced;
represent initial construction cost project period of each micro battery, for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of each micro battery is fixing, the starting year is only had to have construction cost, known single unit construction cost, initial construction cost I project period of each micro battery tithe n platform unit equaling to plan is multiplied by single unit cost of erection;
the operation of each micro battery and fuel cost, for high-carbon energy, annual operation and fuel cost are proportional to International Crude Oil then, its expression formula: in formula, the fuel cost proportionality coefficient of each high-carbon energy, be the energy output of i-th kind of power supply at t, P tfor the price of t in international crude petroleum; For low-carbon energy generating set, its annual operating and maintenance cost is proportional to unit capacity;
the year maintenance cost of each micro battery mainly needs the switching cost counting unit, and the present invention calculates, assuming that the maintenance cost of annual each micro battery is constant for simplifying;
Energy output annual within project period the operation produced and fuel cost and maintenance cost obtained by the production models of cumulative a year 8760 hours;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project;
During each population optimizing, upgrade one group of x ivalue, accordingly upgrade simultaneously.
The expression formula of described penalty function is: Cp = &Sigma; t = j T + j x C pt + x I t + x O t + x M t + x F t ( 1 + r ) t ;
In penalty function, when x is for only meeting workload demand with high-carbon unit, the number of required high-carbon unit;
T is life cycle total length, and it is initial from jth year that j represents the Life cycle planning time limit; C ptpolicy punishment suffered by the carbon emission that the utilization of high-carbon energy produces is at model, and its expression formula is: C pt=ECP*PEN, wherein ECO represents high-carbon unit and to generate electricity every year produced CO 2quantity, PEN represents unit CO 2the carbon emission punishment produced;
I trepresent initial construction cost project period of high-carbon unit, in the model set up herein, for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of high-carbon unit generation is fixing, only has the starting year to have construction cost;
O tfor operation and the fuel cost of high-carbon unit, to high-carbon energy, annual operation and fuel cost are proportional to International Crude Oil then, its expression formula: O t=K fC* E t* P tin formula, K fCthe fuel cost proportionality coefficient of high-carbon energy, E tfor high-carbon unit is at the energy output of t; P tfor the price of t in international crude petroleum;
M tfor the year maintenance cost of high-carbon unit mainly needs the switching cost counting unit, calculate, assuming that the maintenance cost of annual high-carbon unit generation is constant for simplifying herein;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project;
During each population optimizing, upgrade the value of one group of x, corresponding C pt, I t, O t, M tupgrade simultaneously.
After selecting optimal particle group, according to the iteration step length set in step 1), mutation operation is carried out to population, calculate iterations, often carry out primary particle group mutation operation and iterations is added 1; Upgrade speed and the position of population, upgrade the variate-value of target function, calculate fitness, mutation operation is that the particle controlling next iteration moves toward global optimum, and change appropriate speed and position, can seek sorrow faster.
5) judge whether iterations equals t, is, exports optimal solution, otherwise change x iafter return perform step 2)-step 4), until export optimal solution after reaching the iterations of setting; Obtain the electricity optimization configuration of fabric of island-in-sea type micro-capacitance sensor.
When power supply units limits meets, in order to the constraint making optimal value meet reliability, adopt penalty function to limit, its expression formula is:
F d = C life j ( x ) , 0.99 &le; reliability C p , 0.99 > reliability
In formula, F drepresent the value of target function, C lifejx () is Life cycle cost, C pfor Life cycle only adopts the cost of high-carbon energy diesel power generation.
The natural conditions meteorological data of certain fabric of island-in-sea type micro-capacitance sensor and load data as follows, the present invention is adopted to select optimum each power supply capacity configuration: the situation obtaining wind power generation according to wind conditions as shown in table 1, obtains the situation of photovoltaic generation according to intensity of illumination as described in Table 2.
Table 1: the wind speed statistical form in each month in the whole year:
Month 1 2 3 4 5 6
Wind speed (m/s) 9.4 7.2 7.0 6.0 7.3 7.3
Month 7 8 9 10 11 12
Wind speed (m/s) 7.0 5.4 5.8 9.2 6.4 7.9
Table 2: the intensity of illumination statistical form in each month in the whole year:
Month 1 2 3 4 5 6
Intensity of illumination (kWh/m2/d) 2.993 3.323 3.798 5.279 5.825 5.113
Month 7 8 9 10 11 12
Intensity of illumination (kWh/m2/d) 5.495 5.083 5.706 5.111 3.626 3.449
Getting boundary condition is: photovoltaic apparatus 1000kW, and 7.5MW sent out by bavin, energy storage cost 1.998/ kilowatt hour.260kW blower fan configures 10, and stored energy capacitance is 11772kWh.
The expense detail list of various power supply is as follows:
The cost calculation of single unit is as follows:
Configure according to electricity optimization that different demand is done
1, photovoltaic, fan capacity are indefinite
Now choose solar energy, storage battery, blower fan, diesel engine number of units scope be respectively: 0 ~ 50,0 ~ 20,0 ~ 5,10 ~ 20.Bring the inventive method calculating gained configuration scheme into as shown in the table:
Number of units Mounting cost Operating cost Reliability
Solar energy 0 0 0 0.996801
Storage battery 1 199850 5050 0.996801
Blower fan 3 2775240 72540 0.996801
Diesel engine 15 9750000 4470000 0.996801
Total cost is: 336111480 yuan
2, photovoltaic, fan capacity are fixed
Wherein photovoltaic capacity 850kw, fan capacity 2600kw.In addition, storage battery and diesel engine number of units scope are elected as: 0 ~ 20,10 ~ 20.Bring the inventive method calculating gained configuration scheme into as shown in the table:
Number of units Mounting cost Operating cost Reliability
Solar energy 17 12750000 510000 0.999315
Storage battery 1 199850 5050 0.999315
Blower fan 10 9250800 241800 0.999315
Diesel engine 15 9750000 4470000 0.999315
Total cost is: 340183183 yuan
3, micro-capacitance sensor is not containing storage battery
For playing the effect of comparison, existing upper group is tested in storage battery number of units be set to 0, bringing the inventive method into, to calculate configuration scheme as shown in the table:
Number of units Mounting cost Operating cost Reliability
Solar energy 17 12750000 510000 0.999315
Storage battery 0 0 0 0.999315
Blower fan 10 9250800 241800 0.999315
Diesel engine 15 9750000 4470000 0.999315
Total cost is: 339932833 yuan
The data calculated from above-mentioned three kinds of power configuration, when stored energy capacitance ratio is very little in micro-capacitance sensor, there substantially are not impact for micro-capacitance sensor reliability when no storage battery, and can reduce expense.
Above-mentioned specific embodiment is only to the explanation for example of the present invention's spirit, and person of ordinary skill in the field makes various amendments to specific embodiment described in the invention or supplements or adopt similar mode to substitute, and all belongs to protection scope of the present invention.

Claims (4)

1. an electricity optimization collocation method for fabric of island-in-sea type micro-capacitance sensor, is characterized in that comprising the steps:
1) first using each power supply of relating in micro-capacitance sensor as a particle, by the number x of all kinds power supply ias one group of particle, set up population; Then the Optimal Parameters of population is set, initialization population, comprises the capability value of each power supply of setting in initial range, iterations t and iteration step length;
2) obtained by production simulation or obtain from existing database and often organize particle in initial construction cost project period the electricity E sent within project period ti, the fuel cost O produced tiand operation and maintenance cost M ti;
3) according to step 2) construction cost that obtains the electricity E sent within project period ti, the fuel cost O that produces tiand operation and maintenance cost M ti, judge whether the constraints meeting setting, if meet reliability constraint, then calculate the fitness of population with current goal function; If do not meet, then adopt penalty function to adjust the fitness of current particle group, the fitness according to calculating population selects optimal particle group;
The expression formula of described current goal function is: C lif e j ( x ) = &Sigma; t = j T + j &Sigma; i = 1 N x i C p t i + x i I t i + x i O t i + x i M t i + x i F t i ( 1 + r ) t ,
In the expression formula of described current goal function, T is life cycle total length, and it is initial from jth year that j represents the Life cycle planning time limit, and N represents power supply type number, x ifor the number of all kinds power supply to be optimized; C ptipolicy punishment model suffered by the carbon emission that the utilization of high-carbon energy produces, its expression formula is: C pti=ECO i* PEN i, wherein ECO irepresent i-th kind of power supply to generate electricity every year produced CO 2quantity, PEN irepresent unit CO 2the carbon emission punishment produced;
representative often organizes particle in initial construction cost project period, and for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of each micro battery is fixing, only has the starting year to have construction cost;
O tifor produced fuel cost, to high-carbon energy, annual operation and maintenance cost and fuel cost are proportional to International Crude Oil then, and its expression formula is: in formula, the fuel cost proportionality coefficient of each high-carbon energy, E tifor the electricity sent within project period; P tfor the price of t in international crude petroleum; To low-carbon energy generating set, its annual operating and maintenance cost is proportional to unit capacity;
M tifor operation and maintenance cost, mainly need counting the switching cost of unit, calculating, assuming that the maintenance cost of annual each micro battery is constant for simplifying herein;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project;
During each population optimizing, upgrade one group of x ivalue, corresponding C pti, o ti, M tiupgrade simultaneously;
The expression formula of described penalty function is: C p = &Sigma; t = j T + j x C pt + x I t + x O t + x M t + x F t ( 1 + r ) t ;
In the expression formula of described penalty function, when x is for only meeting workload demand with high-carbon unit, the number of required high-carbon unit;
T is life cycle total length, and it is initial from jth year that j represents the Life cycle planning time limit, C ptpolicy punishment model suffered by the carbon emission that the utilization of high-carbon energy produces, its expression formula is: C pt=ECP*PEN, wherein ECP represents high-carbon unit and to generate electricity every year produced CO 2quantity, PEN represents unit CO 2the carbon emission punishment produced;
I trepresent initial construction cost project period of high-carbon unit, for the microgrid construction project of specifying, after making the planning starting year, the initial construction cost of high-carbon unit generation is fixing, only has the starting year to have construction cost;
O tfor operation and the fuel cost of high-carbon unit, to high-carbon energy, annual operation and fuel cost are proportional to International Crude Oil then, its expression formula: O t=K fC* E t* P t, in formula, K fCthe fuel cost proportionality coefficient of high-carbon energy, E tfor high-carbon unit is at the energy output of t; P tfor the price of t in international crude petroleum;
M tfor the year maintenance cost of high-carbon unit, mainly need count the switching cost of unit, if the maintenance cost of annual high-carbon unit generation is constant;
The value of discount rate r is weighted average cost of capital, for calculating net present value (NPV) and the present value factor of capital project; During each population optimizing, upgrade the value of one group of x, corresponding C pt, I t, O t, M tupgrade simultaneously;
4) after selecting optimal particle group, according to step 1) in setting iteration step length mutation operation is carried out to population, calculate iterations, often carry out primary particle group mutation operation and iterations added 1;
5) judge whether iterations equals t, is, exports optimal solution, otherwise change x iafter return perform step 2)-step 4), until export optimal solution after reaching the iterations of setting; Obtain the electricity optimization configuration of fabric of island-in-sea type micro-capacitance sensor.
2. the electricity optimization collocation method of a kind of fabric of island-in-sea type micro-capacitance sensor according to claim 1, is characterized in that, step 3) in the constraints that relates to comprise:
1) power supply units limits: P i≤ p ix i, in formula, p ifor single-machine capacity, x ifor unit quantity;
2) reliability constraint, R lPSP≤ R max, R lPSPfor short of electricity probability, R maxmicro-capacitance sensor for annual islet operation runs maximum short of electricity probability.
3. the electricity optimization collocation method of a kind of fabric of island-in-sea type micro-capacitance sensor according to claim 1 and 2, is characterized in that: each power supply of described micro-capacitance sensor comprises wind energy, solar energy, energy storage device and diesel engine.
4. the electricity optimization collocation method of a kind of fabric of island-in-sea type micro-capacitance sensor according to claim 1, it is characterized in that: described step 2) in the production simulation that relates to, adopt and preferentially utilize the unit of new forms of energy to call order, production simulation carries out as follows: when micro-capacitance sensor creates power shortage, and action gate-controlled switch drops into energy storage device; When new forms of energy exert oneself can meet current loads time, remaining electrical power storage is entered energy storage device; When the active volume of energy storage device can not make up power shortage, then adopt controlled back-up source generating.
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