CN108108830A - A kind of regenerative resource power source planning collocation method - Google Patents

A kind of regenerative resource power source planning collocation method Download PDF

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Publication number
CN108108830A
CN108108830A CN201611045296.4A CN201611045296A CN108108830A CN 108108830 A CN108108830 A CN 108108830A CN 201611045296 A CN201611045296 A CN 201611045296A CN 108108830 A CN108108830 A CN 108108830A
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regenerative resource
power
unit
electricity
cost
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刘梦波
牛建荣
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Liaoning East Eagle New Energy Polytron Technologies Inc
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    • G06QINFORMATION 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
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    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems 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

A kind of regenerative resource power source planning collocation method belongs to field of renewable energy technology more particularly to a kind of regenerative resource power source planning collocation method.The present invention provides a kind of regenerative resource power source planning collocation method.The present invention comprises the following steps:1)Gather information generation electricity optimization foundation of planning database;Planning system maximum predicted load, system prediction electricity, capacity reserve factor and electricity reserve factor;Production decision-making constrains:Regulation maximum emission, regulation regenerative resource installation ratio and the defined regenerative resource total installed capacity ratio of emission, wherein, emission CO2, SO2, nitrogen oxides, CO and lime-ash and flue dust.

Description

A kind of regenerative resource power source planning collocation method
Technical field
The invention belongs to field of renewable energy technology more particularly to a kind of regenerative resource power source planning collocation methods.
Background technology
Global energy shortage and greenhouse effects promote countries in the world to pay close attention to and strengthen developing in regenerative resource Application basic theory research.The energy resource structure of the following mankind will be the architecture of various energy resources Complementary.According to the world The prediction of energy agency EURO-JRC will be more than to ratio of the year two thousand fifty renewable energy utilization in global entire energy resource structure 50%.According to resources supplIes, utilization multiple renewable energy sources are reasonably selected (such as:Solar energy, wind energy, biomass energy, underground heat Energy, ocean energy etc.), regenerative resource distributed energy supply system is formed, forms micro-capacitance sensor, independence is realized or is incorporated into the power networks, is modern The important directions that renewable energy power generation efficiently utilizes afterwards.
The content of the invention
The present invention addresses the above problem, provides a kind of regenerative resource power source planning collocation method.
To achieve the above object, the present invention adopts the following technical scheme that, the present invention comprises the following steps.
1)Gather information generation electricity optimization foundation of planning database;Planning system maximum predicted load, system prediction electricity Amount, capacity reserve factor and electricity reserve factor.
Production decision-making constrains:The regulation maximum emission of emission, regulation regenerative resource installation ratio and defined Regenerative resource total installed capacity ratio, wherein, emission CO2, SO2, nitrogen oxides, CO and lime-ash and flue dust.
Economic and technical norms:The investment running cost of power plant, the investment flow of operation unit are averagely mended to the investment of a unit Patch, fixed operating cost, the variable operation of every unit of every unit take, insurance premium of the power plant averagely to a unit, average It is fuel reserve expense to a unit, the fixed part of the operation and maintenance expense of every unit, variable part, average to a machine The wage expenditure of group, average administrative spending to a unit, the fuel cost of every unit and average to one unit Finance and tax expenditure.
2)Establish electricity optimization mathematics for programming model;Transmission Investment is invested and added to pollution treatment device including power plant; To regenerative resource power plant, including its subsidy for capital expenditure, the disposable fund of power plant's investment is subsidized, unit is ten thousand yuan, if with negative The form of value occurs, then it represents that investment is subsidized, is equivalent to and reduces power plant's investment.
3)Assistant service cost analysis, assistant service refer to the safe and stable operation for safeguarding electric system and ensure electricity It can be serviced necessary to quality, build the system dynamics model of assistant service cost analysis, which includes peak regulation cost, adjusts Frequency cost and spinning reserve cost;Environmental Effect Analysis, structure regenerative resource are generated electricity by way of merging two or more grid systems the system of Environmental Effect Analysis Kinetic model, which is to utilize system dynamics, between the analysis each element of renewable energy power generation environmental benefit The model of relation, the model mainly under the support of correlation technique and policy, the size of renewable energy power generation amount and by This emission reduction benefit brought.
4)In the regenerative resource for obtaining access power grid, comprising the generated energy of all types of regenerative resources account for entire power grid Power consumption ratio value, the generated energy proportion size based on all types of regenerative resources, according to preset order to each Kind regenerative resource performs following step:From pre-stored network load timing curve, removal regenerative resource is contributed, and is obtained The net load timing curve of power grid, according to regenerative resource the first preset time period operating condition, using power generation mould Analog model determines online capacity of all conventional power units in first preset time period;According to the online capacity and described All conventional power units obtain all online conventional power units when described second is default in the creep speed of the second preset time period a Between section a the first fm capacity, according to the online capacity and all conventional power units climbing in the 3rd preset time period b Slope rate obtains second fm capacity of all online conventional power units in the 3rd preset time period.
As a preferred embodiment, the emission reduction benefit of atmosphere pollution of the present invention is due to the increasing of renewable energy power generation amount Add, reduce or substitute thermal power output, reduce the use to coal resources, so as to fulfill the low-carbon life at power industry power generation end Production.
As another preferred embodiment, the present invention in the operating condition of the first preset time period, is adopted according to regenerative resource Determine that all conventional power units include inciting somebody to action in the process of the online capacity of first preset time period with power generation simulation model Simulation model is produced in the parameters of electric power input electric power that regenerative resource is obtained when the first preset time period is run.
In addition, the present invention includes the step of solving electricity optimization planning problem using heuritic approach:Read in electricity optimization Foundation of planning database information;Each power plant is calculated in the degree electricity cost and kilowatt cost gone into operation every year, to all power plant according to degree Electric cost and a kilowatt cost sort respectively;According to regenerative resource permeability index, calculating at least to be gone into operation renewable every year Energy power plant, it is preferential to go into operation;The electrical demand and electricity needs of computing system;It goes into operation successively unit according to the electric cost sequence of degree, It is unsatisfactory for constraints and jumps to next power plant, until electrical demand meets.
Advantageous effect of the present invention.
The present invention determines the throwing of power plant with two indices unit quantity of electricity expense tiny increment and unit of power expense tiny increment Production order, using balance of electric power and ener as the end condition gone into operation.The present invention by power plant investment and operating cost calculate Modeling and the quantization to regenerative resource incentive measure obtain including the electricity optimization programme of regenerative resource power plant.
Description of the drawings
In order to which technical problem solved by the invention, technical solution and advantageous effect is more clearly understood, below in conjunction with The drawings and the specific embodiments, the present invention will be described in further detail.It should be appreciated that specific embodiment party described herein Formula is only used to explain the present invention, is not intended to limit the present invention.
Fig. 1 is the method for the present invention flow chart.
Specific embodiment
As shown in the figure, the present invention comprises the following steps.
1)Gather information generation electricity optimization foundation of planning database;Planning system maximum predicted load, system prediction electricity Amount, capacity reserve factor and electricity reserve factor.
Production decision-making constrains:The regulation maximum emission of emission, regulation regenerative resource installation ratio and defined Regenerative resource total installed capacity ratio, wherein, emission CO2, SO2, nitrogen oxides, CO and lime-ash and flue dust.
Economic and technical norms:The investment running cost of power plant, the investment flow of operation unit are averagely mended to the investment of a unit Patch, fixed operating cost, the variable operation of every unit of every unit take, insurance premium of the power plant averagely to a unit, average It is fuel reserve expense to a unit, the fixed part of the operation and maintenance expense of every unit, variable part, average to a machine The wage expenditure of group, average administrative spending to a unit, the fuel cost of every unit and average to one unit Finance and tax expenditure.
2)Establish electricity optimization mathematics for programming model;Transmission Investment is invested and added to pollution treatment device including power plant; To regenerative resource power plant, including its subsidy for capital expenditure, the disposable fund of power plant's investment is subsidized, unit is ten thousand yuan, if with negative The form of value occurs, then it represents that investment is subsidized, is equivalent to and reduces power plant's investment.
3)Assistant service cost analysis, assistant service refer to the safe and stable operation for safeguarding electric system and ensure electricity It can be serviced necessary to quality, build the system dynamics model of assistant service cost analysis, which includes peak regulation cost, adjusts Frequency cost and spinning reserve cost;Environmental Effect Analysis, structure regenerative resource are generated electricity by way of merging two or more grid systems the system of Environmental Effect Analysis Kinetic model, which is to utilize system dynamics, between the analysis each element of renewable energy power generation environmental benefit The model of relation, the model mainly under the support of correlation technique and policy, the size of renewable energy power generation amount and by This emission reduction benefit brought.
4)In the regenerative resource for obtaining access power grid, comprising the generated energy of all types of regenerative resources account for entire power grid Power consumption ratio value, the generated energy proportion size based on all types of regenerative resources, according to preset order to each Kind regenerative resource performs following step:From pre-stored network load timing curve, removal regenerative resource is contributed, and is obtained The net load timing curve of power grid, according to regenerative resource the first preset time period operating condition, using power generation mould Analog model determines online capacity of all conventional power units in first preset time period;According to the online capacity and described All conventional power units obtain all online conventional power units when described second is default in the creep speed of the second preset time period a Between section a the first fm capacity, according to the online capacity and all conventional power units climbing in the 3rd preset time period b Slope rate obtains second fm capacity of all online conventional power units in the 3rd preset time period.
The emission reduction benefit of atmosphere pollution of the present invention is due to the increase of renewable energy power generation amount, reduces or substitute fire Power generated energy reduces the use to coal resources, so as to fulfill the low-carbon production at power industry power generation end.
The present invention according to regenerative resource the first preset time period operating condition, it is true using power generation simulation model Fixed all conventional power units include in the process of the online capacity of first preset time period will be pre- first in regenerative resource If the parameters of electric power input electric power production simulation model that the period obtains when running.
The step of present invention solves electricity optimization planning problem using heuritic approach includes:Read in electricity optimization planning base Plinth database information;Each power plant is calculated in the degree electricity cost and kilowatt cost gone into operation every year, to all power plant according to the electric cost of degree It sorts respectively with kilowatt cost;According to regenerative resource permeability index, the regenerative resource at least to be gone into operation every year electricity is calculated Factory, it is preferential to go into operation;The electrical demand and electricity needs of computing system;It goes into operation unit, is unsatisfactory for successively according to the electric cost sequence of degree Constraints jumps to next power plant, until electrical demand meets.
The above content is combine specific preferred embodiment to the further description of the invention made, it is impossible to assert this The specific implementation of invention is confined to these explanations, for those of ordinary skill in the art to which the present invention belongs, not On the premise of departing from present inventive concept, several simple deduction or replace can also be made, the present invention should be all considered as belonging to and be carried The protection domain that claims of friendship determine.

Claims (4)

1. a kind of regenerative resource power source planning collocation method, it is characterised in that comprise the following steps:
1)Gather information generation electricity optimization foundation of planning database;Planning system maximum predicted load, system prediction electricity hold Measure reserve factor and electricity reserve factor;
Production decision-making constrains:The regulation maximum emission of emission, regulation regenerative resource installation ratio and it is defined can be again Raw energy total installed capacity ratio, wherein, emission CO2, SO2, nitrogen oxides, CO and lime-ash and flue dust;
Economic and technical norms:The investment running cost of power plant, it is subsidy for capital expenditure averagely to a unit of the investment flow of operation unit, every The fixed operating cost of platform unit, the variable operation of every unit take, insurance premium of the power plant averagely to a unit, average to one The fuel reserve expense of unit, the fixed part of the operation and maintenance expense of every unit, variable part, the average work to a unit Money expenditure, average administrative spending to a unit, the fuel cost of every unit and average to one unit finance and Tax is paid;
2)Establish electricity optimization mathematics for programming model;Transmission Investment is invested and added to pollution treatment device including power plant;It pair can Renewable sources of energy power plant including its subsidy for capital expenditure, subsidizes the disposable fund of power plant's investment, unit is ten thousand yuan, if with negative value Form occurs, then it represents that investment is subsidized, is equivalent to and reduces power plant's investment;
3)Assistant service cost analysis, assistant service refer to the safe and stable operation for safeguarding electric system and ensure electric energy matter Amount necessary to service, build assistant service cost analysis system dynamics model, the model include peak regulation cost, frequency modulation into Sheet and spinning reserve cost;Environmental Effect Analysis, structure regenerative resource are generated electricity by way of merging two or more grid systems the system dynamic of Environmental Effect Analysis Model is learned, which is using system dynamics, analyzes relation between each element of renewable energy power generation environmental benefit Model, the model mainly under the support of correlation technique and policy, the size of renewable energy power generation amount and thus band The emission reduction benefit come;
4)In the regenerative resource for obtaining access power grid, comprising the generated energy of all types of regenerative resources account for the use of entire power grid The ratio value of electricity, the generated energy proportion size based on all types of regenerative resources, can to each according to preset order The renewable sources of energy perform following step:From pre-stored network load timing curve, removal regenerative resource is contributed, and obtains power grid Net load timing curve, according to regenerative resource the first preset time period operating condition, using power generation simulate mould Type determines online capacity of all conventional power units in first preset time period;According to the online capacity and described all Conventional power unit obtains all online conventional power units in the second preset time period a in the creep speed of the second preset time period a The first fm capacity, according to the online capacity and all conventional power units the 3rd preset time period b climbing speed Rate obtains second fm capacity of all online conventional power units in the 3rd preset time period.
2. a kind of regenerative resource power source planning collocation method according to claim 1, it is characterised in that atmosphere pollution Emission reduction benefit is due to the increase of renewable energy power generation amount, reduces or substitutes thermal power output, reduce to coal resources It uses, so as to fulfill the low-carbon production at power industry power generation end.
3. a kind of regenerative resource power source planning collocation method according to claim 1, it is characterised in that according to renewable energy Source determines that all conventional power units are pre- described first in the operating condition of the first preset time period using power generation simulation model If the process of the online capacity of period includes joining the electric power obtained when the first preset time period is run in regenerative resource Number input electric power production simulation model.
4. a kind of regenerative resource power source planning collocation method according to claim 1, it is characterised in that use heuristic calculation The step of method solution electricity optimization planning problem, includes:Read in electricity optimization foundation of planning database information;Each power plant is calculated to exist The degree electricity cost and kilowatt cost gone into operation every year sort to all power plant according to the electric cost of degree and kilowatt cost respectively;According to can Renewable sources of energy permeability index calculates the annual regenerative resource power plant at least to be gone into operation, preferential to go into operation;The electricity of computing system Demand and electricity needs;It goes into operation successively unit according to the electric cost sequence of degree, is unsatisfactory for constraints and jumps to next power plant, directly Meet to electrical demand.
CN201611045296.4A 2016-11-24 2016-11-24 A kind of regenerative resource power source planning collocation method Pending CN108108830A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190817A (en) * 2018-08-28 2019-01-11 四川大学 The two-stage decision optimization method of coal-fired coupled biological matter emission reduction power generation

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109190817A (en) * 2018-08-28 2019-01-11 四川大学 The two-stage decision optimization method of coal-fired coupled biological matter emission reduction power generation

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Application publication date: 20180601