CN104732444A - Data processing method and device for microgrid - Google Patents
Data processing method and device for microgrid Download PDFInfo
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- CN104732444A CN104732444A CN201310701281.9A CN201310701281A CN104732444A CN 104732444 A CN104732444 A CN 104732444A CN 201310701281 A CN201310701281 A CN 201310701281A CN 104732444 A CN104732444 A CN 104732444A
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a data processing method and device for a microgrid. The data processing method for the microgrid comprises the steps that photovoltaic distributed generation cost data of the microgrid are obtained; gas turbine power generation cost data of the microgrid are obtained; and according to the photovoltaic distributed generation cost data and the gas turbine power generation cost data, the operation cost data of the microgrid are computed. According to the data processing method and device, the problem that in a related technology, data processing efficiency in microgrid connection operation is low is solved.
Description
Technical field
The present invention relates to data processing field, in particular to a kind of data processing method for micro-capacitance sensor and device.
Background technology
Micro-capacitance sensor reduces a kind of important means of distributed power generation access to electric network influencing, comprises the intermittent power supply such as wind-powered electricity generation, photovoltaic, cold, heat and power triple supply system, and energy storage device in micro-capacitance sensor.But for the micro-capacitance sensor of pattern of generating power for their own use at present for realizing energy equilibrium, the energy storage device be equipped with or the generating set of scheduling can affect micro-capacitance sensor operating cost, need micro-capacitance sensor economy to run or micro-capacitance sensor Optimized Operation reduction micro-capacitance sensor operating cost for this reason, but the economy how effective evaluation micro-capacitance sensor runs, for the further reduction of micro-capacitance sensor integrated operation cost provides foundation, still require study at present, have no open report and use at home and abroad.Micro-capacitance sensor performance driving economy evaluation method improves the gordian technique that micro-capacitance sensor runs command economy, relates to micro-capacitance sensor and run control model, cost analysis and factors resulting from policies etc.
The economical operation models such as the method that current raising micro-capacitance sensor economy is run comprises that genset operation expense is minimum, micro-capacitance sensor user Income Maximum and energy-storage units optimizing operating mode, achieve and to exert oneself to the optimum of the distributing rationally of generating set in micro-capacitance sensor, micro battery and the solving of microgrid and the best power trade plan of distribution.Existing method is run micro-capacitance sensor economy and has been carried out a large amount of optimization, but actual motion benefit lacks effective integrated evaluating method, the validity of evaluation method and micro-capacitance sensor operational mode, distributed power source rate for incorporation into the power network, investor, the factors such as government subsidy mechanism are correlated with, and there is no the evaluation method about microgrid performance driving economy at present, also having no the achievement in research about setting forth the lower microgrid economy postitallation evaluation of composite factor impact.
For problem lower to the operating data-handling efficiency of micro-grid connection in correlation technique, at present effective solution is not yet proposed.
Summary of the invention
Fundamental purpose of the present invention is to provide a kind of data processing method for micro-capacitance sensor and device, to solve problem lower to the operating data-handling efficiency of micro-grid connection in correlation technique.
To achieve these goals, according to an aspect of the present invention, a kind of data processing method for micro-capacitance sensor is provided.This data processing method being used for micro-capacitance sensor comprises: the photovoltaic distributed power generation cost data obtaining micro-capacitance sensor; Obtain the gas turbine power generation cost data of described micro-capacitance sensor; Obtain the purchases strategies data of described micro-capacitance sensor; The operating cost data of described micro-capacitance sensor are calculated according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
Further, obtain the photovoltaic distributed power generation cost data of micro-capacitance sensor to comprise and obtain described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
Further, the gas turbine power generation cost data obtaining described micro-capacitance sensor comprises and obtains described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
Further, before calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, described method also comprises:
Obtain the purchases strategies data of described micro-capacitance sensor.
Further, after the purchases strategies data obtaining described micro-capacitance sensor, described method also comprises:
The operating cost data of described micro-capacitance sensor are calculated according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
Further, before calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, described method also comprises:
Obtain the energy storage degree electricity cost data of described micro-capacitance sensor.
Further, after the energy storage degree electricity cost data obtaining described micro-capacitance sensor, described method also comprises:
The operating cost data of described micro-capacitance sensor are calculated according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
To achieve these goals, according to a further aspect in the invention, a kind of data processing equipment for micro-capacitance sensor is provided.This data processing equipment being used for micro-capacitance sensor comprises: the first acquiring unit, for obtaining the photovoltaic distributed power generation cost data of micro-capacitance sensor; Second acquisition unit, for obtaining the gas turbine power generation cost data of described micro-capacitance sensor; 3rd acquiring unit, for obtaining the purchases strategies data of described micro-capacitance sensor; Processing unit, for calculating the operating cost data of described micro-capacitance sensor according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
Further, described first acquiring unit is used for obtaining described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
Further, described second acquisition unit is used for obtaining described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
Further, data processing equipment also comprises: the 4th acquiring unit, for obtaining the energy storage degree electricity cost data of described micro-capacitance sensor.
Further, described processing unit is used for the operating cost data calculating described micro-capacitance sensor according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
By the present invention, adopt the photovoltaic distributed power generation cost data obtaining micro-capacitance sensor; Obtain the gas turbine power generation cost data of described micro-capacitance sensor; Calculate the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, solve problem lower to the operating data-handling efficiency of micro-grid connection in correlation technique.
Accompanying drawing explanation
The accompanying drawing forming a application's part is used to provide a further understanding of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the schematic diagram of the data processing equipment for micro-capacitance sensor according to a first embodiment of the present invention;
Fig. 2 is the schematic diagram of the data processing equipment for micro-capacitance sensor according to a second embodiment of the present invention;
Fig. 3 is the process flow diagram of the data processing method for micro-capacitance sensor according to the embodiment of the present invention; And
Fig. 4 is according to the preferred embodiment of the invention for the process flow diagram of the data processing method of micro-capacitance sensor.
Embodiment
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the present invention in detail in conjunction with the embodiments.
Fig. 1 is the schematic diagram of the data processing equipment for micro-capacitance sensor according to a first embodiment of the present invention.
As shown in Figure 1, this data processing equipment comprises:
First acquiring unit 10, for obtaining the photovoltaic distributed power generation cost data of micro-capacitance sensor.
Second acquisition unit 20, for obtaining the gas turbine power generation cost data of described micro-capacitance sensor.
3rd acquiring unit 30, for obtaining the purchases strategies data of described micro-capacitance sensor.
Processing unit 40, for calculating the operating cost data of described micro-capacitance sensor according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
By this embodiment, adopt the photovoltaic distributed power generation cost data obtaining micro-capacitance sensor; Obtain the gas turbine power generation cost data of described micro-capacitance sensor; Calculate the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, solve problem lower to the operating data-handling efficiency of micro-grid connection in correlation technique.
In one embodiment of the invention, described first acquiring unit is used for obtaining described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
In one embodiment of the invention, described second acquisition unit is used for obtaining described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
Fig. 2 is the schematic diagram of the data processing equipment for micro-capacitance sensor according to a second embodiment of the present invention.
In one embodiment of the invention, data processing equipment also comprises: the 4th acquiring unit 50, for obtaining the energy storage degree electricity cost data of described micro-capacitance sensor.Described processing unit is used for the operating cost data calculating described micro-capacitance sensor according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The embodiment of the present invention additionally provides a kind of data processing method for micro-capacitance sensor.
Fig. 3 is the process flow diagram of the data processing method for micro-capacitance sensor according to the embodiment of the present invention.
As shown in Figure 3, the method comprises:
Step S1, obtains the photovoltaic distributed power generation cost data of micro-capacitance sensor.
Step S2, obtains the gas turbine power generation cost data of described micro-capacitance sensor.
Step S3, obtains the purchases strategies data of described micro-capacitance sensor.
Step S4, calculates the operating cost data of described micro-capacitance sensor according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
By this embodiment, adopt the photovoltaic distributed power generation cost data obtaining micro-capacitance sensor; Obtain the gas turbine power generation cost data of described micro-capacitance sensor; Calculate the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, solve problem lower to the operating data-handling efficiency of micro-grid connection in correlation technique.
In one embodiment of the invention, obtain the photovoltaic distributed power generation cost data of micro-capacitance sensor to comprise and obtain described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
In one embodiment of the invention, the gas turbine power generation cost data obtaining described micro-capacitance sensor comprises and obtains described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
In one embodiment of the invention, before calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, described method also comprises:
Obtain the purchases strategies data of described micro-capacitance sensor.
In one embodiment of the invention, after the purchases strategies data obtaining described micro-capacitance sensor, described method also comprises:
The operating cost data of described micro-capacitance sensor are calculated according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
In one embodiment of the invention, before calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, described method also comprises:
Obtain the energy storage degree electricity cost data of described micro-capacitance sensor.
In one embodiment of the invention, after the energy storage degree electricity cost data obtaining described micro-capacitance sensor, described method also comprises:
The operating cost data of described micro-capacitance sensor are calculated according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
For the micro-capacitance sensor of pattern of generating power for their own use at present for realizing energy equilibrium, the energy storage device be equipped with or the generating set of scheduling can affect micro-capacitance sensor operating cost, need micro-capacitance sensor economy to run or micro-capacitance sensor Optimized Operation reduction micro-capacitance sensor operating cost for this reason, but the economy how effective evaluation micro-capacitance sensor runs, for the further reduction of micro-capacitance sensor integrated operation cost provides foundation, still require study at present.
Micro-capacitance sensor evaluation of generating power for their own use comprises operating cost analysis, the monitoring and appraisal of evaluation index foundation and index, wherein microgrid operating cost analysis comprises each generator unit cost analysis, in view of current micro-capacitance sensor operation control device is generally unmanned design, except the miniature gas turbine with mechanical part, all ignore a year maintenance cost.
Fig. 4 is according to the preferred embodiment of the invention for the process flow diagram of the data processing method of micro-capacitance sensor.
As shown in Figure 4, the method comprises the following steps:
1) photovoltaic distributed power generation pricing:
Photovoltaic apparatus cost comprises the electrical control equipment cost (Ccons) of the combining inverter (Cinvp) of every kilowatt of photovoltaic generation, photovoltaic module (Cmod), photovoltaic bracket (Cbra) and access micro-capacitance sensor, life of product K, installation cost comprises in a device, disregards the expenses such as assembly cleaning maintenance in calculating.
Regional annual electricity generating capacity Wanu used can be obtained by business software estimation.
Photovoltaic generation degree electricity cost Cpv can be calculated by formula (1):
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu (1)
2) miniature gas turbine cost of electricity-generating calculates:
Miniature gas turbine equipment cost comprises the electrical control equipment cost (CconT) of rectification adverser (CinvT), genset (CG) and the access micro-capacitance sensor that every kilowatt of miniature gas generates electricity, life of product K2, installation cost comprises in a device, the expenses such as year maintenance are CanuT, fuel cost is for often spending electric M unit, and α is genset year available rate.
Miniature gas generating degree electricity cost CT can be calculated by formula (2):
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2) (2)
3) micro-capacitance sensor purchases strategies calculates Cusr:
The tou power price of location is chosen by types such as large scale industry user, commercial user, resident, agricultural users.
4) micro-capacitance sensor energy storage degree electricity pricing CST, CBAT is energy-storage battery cost, and UB is DC bus-bar voltage, Ah is battery ampere-hour number, and N is cycle index, and CinvB is inverter cost, K2 is inverter longevity, and α 3 is the year available rate of accumulator system, and η is efficiency for charge-discharge:
CST=（CBAT/UBAhN+CinvB/K2/(8760α3)）/η
5) micro-capacitance sensor operating cost calculates:
Microgrid hour operating cost Ctot=CpvPpv+CT PT+CsT PsT+Cusr Pusr
In formula, Ppv is photovoltaic generation power, and PT is miniature combustion engine generated output, and PsT is energy storage for power supply cost, and Pusr is purchases strategies.
Micro-capacitance sensor postitallation evaluation adopts following 3 indexs, in order to judge that micro-grid connection exchanges the wave characteristic of power.
Index 1: micro-capacitance sensor exchanges the peak-valley difference DPmax=Pmax-Pmin of power
Index 2: micro-capacitance sensor power purchase electricity and feed electricity
Index 3: micro-capacitance sensor exchanges power variance σ=Σ (Pusri-1/n Σ Pusri) 2
In formula, n counts in the sampling time, and Pusri is the power purchase power in the i-th moment.
Access 2 kinds of situations for the single-phase access of low pressure and three-phase, adopt target targetedly respectively, all comparatively strong for the randomness of load and undulatory property in single-phase grid-connected micro-capacitance sensor, adopt index 1 and index 2 to evaluate; Relatively stable at times for load in three-phase grid micro-capacitance sensor, adopt index 1 and index 3 to evaluate.
Under single-phase mode or three phase modes, DPmax larger explanation micro-capacitance sensor runs more uneconomical, micro-capacitance sensor should increase power-type energy storage device, capacity or should use soft starter to reduce power swing close to o0.5DPmax, avoids electrical network to increase system spinning reserve because of momentary high power load and the economic loss that causes.
Under single-phase mode, the difference larger explanation micro-capacitance sensor of micro-capacitance sensor power purchase electricity and feed electricity runs more uneconomical, and micro-capacitance sensor should increase energy type energy storage device, makes micro-capacitance sensor realize energy self-balancing, and configuration capacity can with reference to the difference of power purchase electricity and feed electricity.
Under three phase modes, it is more frequent with load fluctuation that micro-capacitance sensor exchanges power variance σ larger explanation generating, should improve energy management system strategy, and utilize and increase micro-capacitance sensor stored energy capacitance, capability value can with reference to the square root of σ.
Existing micro-capacitance sensor demonstrative project is based on the pattern of generating power for their own use, capacity configuration for sending out, storing up equipment in current micro-capacitance sensor and operation control strategy are provided foundation by promoting the use of of this method, effective reduction micro-capacitance sensor use cost, promotes the foundation of micro-capacitance sensor commercial operation pattern.Another importance, by the evaluation to micro-grid connection operating cost, will improve the energy self-balancing level of micro-capacitance sensor, reduce electrical network receive that distributed power generation is intermittent can the generating plant construction of quick adjustment power conventional energy resources, year investment reduction cross hundred million yuan.
Propose micro-capacitance sensor under the pattern of generating power for their own use in invention first and run the evaluation method of command economy, method comprises the cost analysis of equipment purchasing, in operational process, the adjustment of cost real-time change factor dynamic, Cost Evaluation index considers microgrid operating cost and electrical network stand-by cost simultaneously.Calculate simple in method, be convenient to programming realization.
It should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the process flow diagram of accompanying drawing, and, although show logical order in flow charts, but in some cases, can be different from the step shown or described by order execution herein.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. for a data processing method for micro-capacitance sensor, it is characterized in that, comprising:
Obtain the photovoltaic distributed power generation cost data of micro-capacitance sensor;
Obtain the gas turbine power generation cost data of described micro-capacitance sensor;
Obtain the purchases strategies data of described micro-capacitance sensor; And
The operating cost data of described micro-capacitance sensor are calculated according to the purchases strategies data of described photovoltaic distributed power generation cost data, described micro-capacitance sensor and described gas turbine power generation cost data.
2. data processing method according to claim 1, is characterized in that, obtains the photovoltaic distributed power generation cost data of micro-capacitance sensor and comprises and obtain described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
3. data processing method according to claim 1, is characterized in that, the gas turbine power generation cost data obtaining described micro-capacitance sensor comprises and obtains described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
4. data processing method according to claim 1, is characterized in that, before calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data, described method also comprises:
Obtain the energy storage degree electricity cost data of described micro-capacitance sensor.
5. data processing method according to claim 4, is characterized in that, after the energy storage degree electricity cost data obtaining described micro-capacitance sensor, described method also comprises:
The operating cost data of described micro-capacitance sensor are calculated according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
6. for a data processing equipment for micro-capacitance sensor, it is characterized in that, comprising:
First acquiring unit, for obtaining the photovoltaic distributed power generation cost data of micro-capacitance sensor;
Second acquisition unit, for obtaining the gas turbine power generation cost data of described micro-capacitance sensor;
3rd acquiring unit, for obtaining the purchases strategies data of described micro-capacitance sensor; And
Processing unit, for calculating the operating cost data of described micro-capacitance sensor according to described photovoltaic distributed power generation cost data and described gas turbine power generation cost data.
7. data processing equipment according to claim 6, described first acquiring unit is used for obtaining described photovoltaic distributed power generation cost data in such a way:
Cpv=（Cinvp+Cmod+Cbra+Ccons）/K/Wanu
Wherein, Cinvp represents the cost data of the combining inverter of every kilowatt of photovoltaic generation of photovoltaic apparatus, Cmod represents the cost data of the photovoltaic module in described photovoltaic apparatus, Cbra represents the cost data of the photovoltaic bracket in described photovoltaic apparatus, Ccons represents the cost data of the electrical control equipment of access micro-capacitance sensor, K represents year in the life-span number of product, and Cpv represents described photovoltaic distributed power generation cost data.
8. data processing equipment according to claim 6, is characterized in that, described second acquisition unit is used for obtaining described gas turbine power generation cost data in such a way:
CT=（（CinvT+CG+CconT）/K+CanuT）/K2/(8760α2)
Wherein, CinvT represents the cost data of the rectification adverser of every kilowatt of miniature gas generating in described gas-turbine plant, CG represents the cost data of genset, CconT represents the cost data of the electrical control equipment of access micro-capacitance sensor, K2 represents year in the life-span number of described gas turbine, CanuT represents the cost data of year maintenance cost, and α is genset year available rate.
9. data processing equipment according to claim 6, is characterized in that, also comprises:
4th acquiring unit, for obtaining the energy storage degree electricity cost data of described micro-capacitance sensor.
10. data processing equipment according to claim 9, it is characterized in that, described processing unit is used for the operating cost data calculating described micro-capacitance sensor according to described photovoltaic distributed power generation cost data, the energy storage degree electricity cost data obtaining described micro-capacitance sensor, the purchases strategies data of described micro-capacitance sensor and described gas turbine power generation cost data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310701281.9A CN104732444A (en) | 2013-12-18 | 2013-12-18 | Data processing method and device for microgrid |
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| CN107134771A (en) * | 2017-04-10 | 2017-09-05 | 电子科技大学 | A kind of microgrid mode switch control method based on assessment of economic benefit |
| CN109685287A (en) * | 2019-01-14 | 2019-04-26 | 浙江大学 | Increment power distribution network power supply capacity multiple-objection optimization configuration method |
| CN111928294A (en) * | 2020-08-06 | 2020-11-13 | 华能太原东山燃机热电有限责任公司 | Method for apportioning thermoelectric cost of gas-steam combined cycle unit |
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| CN107134771A (en) * | 2017-04-10 | 2017-09-05 | 电子科技大学 | A kind of microgrid mode switch control method based on assessment of economic benefit |
| CN107134771B (en) * | 2017-04-10 | 2019-09-24 | 电子科技大学 | A kind of microgrid mode switch control method based on assessment of economic benefit |
| CN109685287A (en) * | 2019-01-14 | 2019-04-26 | 浙江大学 | Increment power distribution network power supply capacity multiple-objection optimization configuration method |
| CN111928294A (en) * | 2020-08-06 | 2020-11-13 | 华能太原东山燃机热电有限责任公司 | Method for apportioning thermoelectric cost of gas-steam combined cycle unit |
| CN111928294B (en) * | 2020-08-06 | 2023-03-24 | 华能太原东山燃机热电有限责任公司 | Method for apportioning thermoelectric cost of gas-steam combined cycle unit |
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