CN111242438A - Evaluation method and system for flexibility adjustment capability of power generation and utilization resources of self-contained power plant - Google Patents

Evaluation method and system for flexibility adjustment capability of power generation and utilization resources of self-contained power plant Download PDF

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CN111242438A
CN111242438A CN202010006887.0A CN202010006887A CN111242438A CN 111242438 A CN111242438 A CN 111242438A CN 202010006887 A CN202010006887 A CN 202010006887A CN 111242438 A CN111242438 A CN 111242438A
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power
self
cost
utilization
enterprise
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周颖
陈宋宋
黄怡凡
吴英俊
高赐威
祝令凯
张海静
王为帅
马磊
张超
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State Grid Corp of China SGCC
Southeast University
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
State Grid Xinjiang Electric Power Co Ltd
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State Grid Corp of China SGCC
Southeast University
China Electric Power Research Institute Co Ltd CEPRI
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
State Grid Shandong Electric Power Co Ltd
State Grid Xinjiang Electric Power Co Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • 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
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Abstract

The assessment method and system for flexibility adjustment capability of power generation and utilization resources of the self-contained power plant provided by the invention comprise the steps of determining data corresponding to each behavior characteristic of power generation and utilization of an enterprise based on power generation and utilization data of the self-contained power plant, power grid electricity purchasing data and pre-constructed power generation and utilization behavior characteristic indexes of the self-contained power plant; and determining the flexibility adjusting capacity of the self-contained power plant based on the enterprise power generation and utilization behavior data, preset flexibility evaluation indexes and a pre-constructed enterprise power utilization cost model. The invention guides the self-contained power plant to participate in adjusting the real-time power balance of the power grid, realizes the comprehensive utilization of energy and improves the operation efficiency.

Description

Evaluation method and system for flexibility adjustment capability of power generation and utilization resources of self-contained power plant
Technical Field
The invention relates to the field of quantitative assessment, in particular to a method and a system for assessing flexibility adjustment capability of power generation and utilization resources of a self-contained power plant.
Background
The self-contained power plant refers to a power plant which is built by enterprises to meet the self power consumption demand. The self-contained power plant generates power according to the criterion of meeting the production requirement of the unit, and partial power is purchased from the power grid when the self-contained power plant is not enough. In contrast, utility power plants, i.e., power plants that provide electricity to the public, are known.
In order to better manage and supervise the self-contained power plant, the related national guidance and suggestions indicate that the development of the self-contained power plant needs to be correctly guided and normalized, the common management of various types of power plants is promoted, and the auxiliary service of the self-contained power plant is popularized. However, the existing problems of the self-contained power plant need to be solved, so how to standardize the self-contained power plant and make the self-contained power plant participate in the market fairly is concerned. In the face of the related requirements of the existing self-contained power plant management and market participation, the corresponding management mode cannot cope with the new situation, and the monitoring management technology is urgently needed to be upgraded. Meanwhile, the self-contained power plant has great application potential in the fields of new energy consumption and demand response peak regulation. Due to the fact that the self-contained power plant has large installed capacity, the self-contained power plant can effectively promote comprehensive utilization of social resources as flexible resources in a power system, the application potential of the self-contained power plant for helping new energy consumption and participating in peak regulation under a new situation needs to be excavated urgently, and a feasible and flexible interactive assessment method is provided.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a method and a system for evaluating the flexibility adjustment capability of power generation and utilization resources of a self-contained power plant.
The technical scheme provided by the invention is as follows:
a self-contained power plant power generation resource flexibility regulation capability assessment method comprises the following steps:
determining data corresponding to each behavior characteristic of the power generation and utilization of the enterprise based on the power generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and the pre-constructed power generation and utilization behavior characteristic indexes of the self-contained power plant;
determining flexibility adjusting capacity of the self-contained power plant based on data corresponding to the enterprise electricity generation and utilization behavior characteristics, preset flexibility evaluation indexes and a pre-constructed enterprise electricity utilization cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
Preferably, the characteristic indexes of the power generation and utilization behavior of the self-contained power plant comprise:
daily load rate, daily peak-valley difference rate, comprehensive efficiency, carbon emission, daily purchased power grid electric quantity and daily new energy consumption.
Preferably, the daily load rate is calculated according to the following formula:
Figure BDA0002355579180000021
in the formula, K1The daily load rate of the enterprise self-provided power plant; pt: loading at each moment; ptmaxThe daily maximum load; t: number of groups representing load data;
the daily peak-to-valley difference rate is calculated according to the following formula:
Figure BDA0002355579180000022
in the formula, K2The day peak valley difference rate of the self-provided power plant of the enterprise; ptminThe daily minimum load;
the overall efficiency is calculated as follows:
Figure BDA0002355579180000023
in the formula, ηtotalOverall efficiency ηGtPower generation efficiency of self-contained power plant ηdtThe power generation efficiency of the power grid; pGtThe output of the unit; pdtReal-time power output of the power grid; ptLoading at each moment;
the carbon emission is calculated as follows:
Figure BDA0002355579180000024
in the formula, kGtPower discharge factor, k, for self-contained power supplydtAnd the power emission factor for supplying power to the power grid, and delta t is the interval time.
Preferably, the daily purchased power grid electric quantity is calculated according to the following formula:
Figure BDA0002355579180000025
in the formula, QBuyPurchasing electric quantity of a power grid daily; Δ t is the interval time;
the daily new energy consumption is calculated according to the following formula:
Figure BDA0002355579180000031
in the formula, Qrenew: the daily new energy consumption;
Figure BDA0002355579180000032
is the ratio of the new energy output at the moment t.
Preferably, the setting of the index includes:
determining a flexibility evaluation index based on a plurality of time step lengths aiming at different requirements of frequency modulation, peak shaving and new energy consumption;
wherein the flexibility assessment indicator based on a plurality of time steps comprises: a flexibility evaluation index based on a minute level and a flexibility evaluation index based on an hour level;
the flexible evaluation indexes of the minute level comprise: the unit regulation rate and the unit regulation cost of the equivalent load;
the flexible evaluation indexes of the hour scale comprise: the adjustable electric quantity of the equivalent load of the self-contained power plant.
Preferably, the unit adjustment rate of the equivalent load is calculated as follows:
Figure BDA0002355579180000033
in the formula (I), the compound is shown in the specification,
Figure BDA0002355579180000034
indicating the output of the unit before load transfer at each moment, wherein delta T is a scheduling time scale;
Figure BDA0002355579180000035
the unit regulation rate of the equivalent load; ruserThe load transfer amount is minute-scale; rt: synthesizing external loads obtained by power generation and utilization systems of enterprises to which the self-contained power plants belong; pGtThe output of the unit;
the unit adjustment cost is calculated as follows:
Figure BDA0002355579180000036
in the formula (I), the compound is shown in the specification,
Figure BDA0002355579180000037
unit adjustment cost; cU: the cost of electricity consumption of enterprises; pt: the load at each time.
Preferably, the adjustable electric quantity is calculated according to the following formula:
Figure BDA0002355579180000038
in the formula (I), the compound is shown in the specification,
Figure BDA0002355579180000039
the electric quantity can be adjusted; quserThe load transfer amount is small; Δ t is the interval time.
Preferably, the construction of the enterprise electricity cost model includes:
constructing a target function by taking the lowest enterprise cost as a target under the premise of considering the energy efficiency level and the environmental protection;
constructing a plurality of constraint conditions for the objective function, and solving the enterprise electricity cost model to obtain the minimum enterprise electricity cost;
the constraint conditions include: the method comprises the following steps of unit output constraint, energy efficiency level constraint, load transfer cost constraint, real-time power balance and enterprise unit adjustment cost constraint.
Preferably, the objective function is calculated according to the following formula:
CU＝CG(EGt)+CB(Pdt)+CC(PGt,Pdt)+CL(Pt)-CS(PGt,Pt)
in the formula, CU: the minimum enterprise electricity utilization cost; cG(PGt): at T1The power generation cost of the unit in a time period; cB(Pdt): electricity charges purchased from the grid; cS(PGt,Pt): subsidy cost of the power grid; cL(Pt): discomfort translates into cost; cC(PGt,Pdt): carbon emission costs.
Preferably, the carbon emission cost CC(PGt,Pdt) Calculated as follows:
Figure BDA0002355579180000041
in the formula, CC(PGt,Pdt): carbon emission cost; m is the corresponding emission quota of the class of emission, cctTrading prices for carbon emission markets; k is a radical ofGtA power drain factor to self-contained power; k is a radical ofdtA power discharge factor to power the grid; Δ t is the interval time; pGtThe output of the unit; pdtAnd (5) real-time power output of the power grid.
Preferably, the determining the flexibility adjustment capability of the self-contained power plant based on the enterprise electricity generation and utilization behavior data, the preset indexes and the pre-constructed enterprise electricity utilization cost model includes:
on the premise that the comprehensive efficiency meets the required efficiency, solving the enterprise power utilization cost model based on the enterprise power generation and utilization behavior data to calculate the minimum enterprise power utilization cost;
and calculating the adjustable capacity adjusting rate, the unit adjusting cost and the adjustable electric quantity of the self-contained power plant based on the enterprise electricity generation and utilization behavior data corresponding to the minimum enterprise electricity utilization cost.
An assessment system for flexibility adjustment of power generation resources of a self-contained power plant, the system comprising:
the behavior data determining module is used for determining enterprise electricity generation and utilization behavior data based on the electricity generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and a pre-constructed electricity generation and utilization behavior characteristic index model of the self-contained power plant;
the capacity determining module is used for determining the flexibility adjusting capacity of the self-contained power plant based on the enterprise electricity generating and using behavior data, preset indexes and a pre-constructed enterprise electricity using cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
Preferably, the capability determining module includes: the index setting submodule, the model building submodule and the adjusting submodule are connected;
the index setting submodule is used for providing different flexibility evaluation indexes from the aspects of minute level and hour level according to different requirements of frequency modulation, peak regulation and new energy consumption;
the model building submodule: the method is used for constructing an enterprise electricity cost model;
and the calculation submodule calculates the flexibility regulation capacity of the self-contained power plant based on enterprise electricity generation and utilization behavior data corresponding to the minimum enterprise electricity utilization cost calculated by the enterprise electricity utilization cost model.
Compared with the prior art, the invention has the following beneficial effects:
1. the invention provides a method for determining flexibility adjustment quantity of power generation and utilization resources of a self-contained power plant, which comprises the steps of determining power generation and utilization behavior data of an enterprise based on power generation and utilization data of the self-contained power plant, power grid electricity purchasing data and a pre-constructed power generation and utilization behavior characteristic index model of the self-contained power plant; and determining the flexibility adjusting capacity of the self-contained power plant based on the enterprise electricity generation and utilization behavior data, preset indexes and a pre-constructed enterprise electricity utilization cost model. The invention guides the self-contained power plant to participate in adjusting the real-time power balance of the power grid, realizes the comprehensive utilization of energy and improves the operation efficiency.
Drawings
FIG. 1 is a flow chart of a quantitative evaluation method of the present invention;
FIG. 2 is a diagram of the flexibility adjustment quantitative evaluation index classification according to the present invention;
FIG. 3 is a model diagram of the self-contained power plant unit output constraint of the present invention.
Detailed Description
For a better understanding of the present invention, reference is made to the following description taken in conjunction with the accompanying drawings and examples.
The invention provides a self-contained power plant power generation and utilization resource flexibility adjustment quantitative evaluation method, which is shown in figure 1: the method comprises the following steps:
step 1: determining data corresponding to each behavior characteristic of the power generation and utilization of the enterprise based on the power generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and the pre-constructed power generation and utilization behavior characteristic indexes of the self-contained power plant;
step 2: determining flexibility adjusting capacity of the self-contained power plant based on data corresponding to the enterprise electricity generation and utilization behavior characteristics, preset flexibility evaluation indexes and a pre-constructed enterprise electricity utilization cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
Wherein, the step 1: the method comprises the following steps of determining data corresponding to each behavior characteristic of the power generation and utilization of an enterprise based on power generation and utilization data of a self-contained power plant, power grid electricity purchasing data and pre-constructed power generation and utilization behavior characteristic indexes of the self-contained power plant, and specifically comprises the following steps:
and power generation and utilization data of the self-contained power plant and the power grid are collected through the online monitoring system.
And determining the power generation and utilization behavior data of the enterprise according to the power generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and a pre-constructed power generation and utilization behavior characteristic index model of the self-contained power plant.
The method comprises the following steps that a self-contained power plant power generation and utilization behavior characteristic index model is constructed from two aspects of enterprises and a power grid;
the enterprise angle mainly analyzes daily load rate, daily peak-valley difference rate, comprehensive efficiency and carbon emission, and the power grid angle mainly analyzes electric quantity purchased into a power grid and consumption of new energy.
1-1, selecting T groups of load data of a certain day, wherein the load at each moment can be represented as Pt(T ═ 1,2, …, T), enterprise self-contained plant daily load rate K1Peak-to-valley ratio K2The expression is as follows:
Figure BDA0002355579180000061
Figure BDA0002355579180000062
in the above formula, Ptmax、PtminThe daily maximum minimum load.
1-2, comprehensive efficiency η of power generation and utilization system of enterprise self-contained power planttotal：
Figure BDA0002355579180000063
In the above formula, ηGtFor self-contained power plant efficiency, ηdtFor the efficiency of the generation of the grid power, PGtFor unit output, PdtAnd real-time output is provided for the power grid.
1-3, electric carbon emission E for enterprisescarbon：
Figure BDA0002355579180000064
In the above formula, kGtPower discharge factor, k, for self-contained power supplydtPower emission factor for supplying power to the grid.
1-4, buying electric quantity Q of electric network every dayBuy：
Figure BDA0002355579180000065
In the above formula, Δ t is the interval time.
1-5 days new energy consumption Qrenew：
Figure BDA0002355579180000071
In the above formula, the first and second carbon atoms are,
Figure BDA0002355579180000072
is the ratio of the new energy output at the moment t.
By combining the above steps, the power generation and utilization behavior characteristic indexes of the enterprise self-contained power plant and a model formed based on all indexes and a calculation method can be obtained.
In this embodiment, the following preferred schemes are adopted:
when the flexibility adjusting capability of the power generation and utilization resources of the self-contained power plant is researched, the power generation side and the power utilization side are equivalent to form an equivalent load, and the equivalent load responds to the outside integrally.
Step 2: determining flexibility adjusting capacity of the self-contained power plant based on the enterprise electricity generation and utilization behavior data, preset indexes and a pre-constructed enterprise electricity utilization cost model, and specifically comprising the following steps:
2-1, when the flexibility of the minute level is evaluated, defining the unit regulation rate of the equivalent load as a flexibility index of the self-contained power plant, wherein the index mainly represents the flexibility regulation rate of the system in different scheduling time scales at different moments. The index is divided into upward flexibility and downward flexibility correspondingly to the increase and decrease of the equivalent load power, the capacity of increasing the power is represented by the adjusting rate of the adjustable capacity of the equivalent load, and the capacity of reducing the power is represented by the adjusting rate of the adjustable capacity of the equivalent load. Thus, the rate of adjustment of the capacity can be adjusted
Figure BDA0002355579180000073
Can be expressed as:
Figure BDA0002355579180000074
in the above formula, the first and second carbon atoms are,
Figure BDA0002355579180000075
indicates the unit output, P, before the load transfer is not performed at each momentGtFor unit capacity, Δ T is the scheduling time scale, RuserIs the load transfer amount of minute level。
And 2-2, when the flexibility of the minute level is evaluated, defining the change of the application electricity cost when the equivalent load of the self-contained power plant adjusts the unit adjustable capacity as the flexibility index of the self-contained power plant. The index is divided into upward flexibility and downward flexibility corresponding to the increase and decrease of the equivalent load power, the upward flexibility of the self-contained power plant is represented by the unit adjusting cost of the upward adjustable capacity of the equivalent load, and the downward flexibility of the self-contained power plant is represented by the unit adjusting cost of the downward adjustable capacity of the equivalent load. Therefore, unit adjustment cost
Figure BDA0002355579180000076
Accessible enterprise electricity consumption cost CUEquivalent load (P)t-PGt) Solving the partial derivatives:
Figure BDA0002355579180000077
and 2-3, when the small-scale flexibility is evaluated, defining the adjustable electric quantity of the equivalent load as a flexibility index of the self-contained power plant, wherein the flexibility index mainly represents the flexibility adjusting capacity of the system in different time periods. The index is divided into upward flexibility and downward flexibility correspondingly to the increase and decrease of the equivalent load power, the range of the increased power is represented by the adjustable electric quantity of the equivalent load, and the range of the decreased power is represented by the adjustable electric quantity of the equivalent load. The up-down adjustment electric quantity of the equivalent load is also the integral of the unit output force to the time at different moments in the time period. It is similar to the method when calculating the adjustable capacity change rate index, and the adjustable electric quantity is composed of the unit adjustable electric quantity and the load transfer quantity, so the adjustable electric quantity
Figure BDA0002355579180000081
Can be expressed as:
Figure BDA0002355579180000082
in the above formula, Δ t is the time interval, QuserIs negative in small orderThe amount of charge transfer.
And 3-1, analyzing the enterprise self-supply power plant from the two angles of the power generation side and the power utilization side, and constructing an enterprise power utilization cost model.
The power generation cost of the self-contained power plant comprises initial investment, operation maintenance, resource consumption, cross subsidy and the like, can be expressed as a convex quadratic function, and is T1Generating cost C of unit in time intervalG(PGt) Comprises the following steps:
Figure BDA0002355579180000083
in the above formula, at、bt、ctAre coefficients of a cost function.
3-2, enterprise electricity purchasing cost model:
the power consumption of the enterprise mainly comprises two parts of sources, wherein one part of the power is provided by a self-contained power plant owned by the enterprise, and the other part of the power is purchased to a power grid. Electric charge C from the gridB(Pdt) Can be expressed as follows:
Figure BDA0002355579180000084
in the above formula, cdtThe unit electricity price of the electricity purchased from the power grid at the moment t.
At the same time, PdtFollowing the principle of power balancing, it can be expressed as:
Pdt+PGt＝Pt(12)
3-3, power grid subsidy cost:
the power grid stimulates the power generation and utilization system to make corresponding adjustment in a subsidy mode, and the enterprise power utilization cost is increased by a power grid subsidy cost CS(PGt,Pt) Can be expressed as follows:
Figure BDA0002355579180000085
in the above formula, the first and second carbon atoms are,
Figure BDA0002355579180000091
representing the unit output before the load transfer at each moment; pGtFor unit output, cstAnd issuing subsidy cost for each 1MWh power grid responding to the equivalent load.
3-4, the discomfort degree is reduced to the cost:
the discomfort degree can be reduced to the cost CL(Pt) Can be expressed as follows:
Figure BDA0002355579180000092
in the above formula, Pt 0Indicating the initial amount of load before the load shift is not performed at each time, t-j indicating that the load shifts between time j and time t, and α indicating the discomfort factor.
The enterprise electricity cost C can be obtained by integrating the modelsUThe expression is as follows:
CU＝CG(PGt)+CB(Pdt)+CL(Pt)-CS(PGt,Pt) (15)
aiming at different requirements such as frequency modulation, peak shaving and new energy consumption, different flexibility evaluation indexes are provided from the aspects of minute level and hour level, as shown in fig. 2:
4-1, energy efficiency level analysis:
for a power plant, the plant is dynamically operated from a thermodynamic point of view, and the thermodynamic characteristics of the plant are different at each moment. Since the thermodynamic characteristics studied here are analyzed from the entire thermodynamic system, the energy efficiency evaluation of the unit correspondingly covers the dynamic characteristics of the unit as a whole. Thus, genset efficiency is used herein to evaluate the energy efficiency level of the genset.
The comprehensive efficiency of the power utilization of enterprises is divided into two parts of the power generation efficiency of the self-contained power plant and the power generation efficiency of the power grid, namely the comprehensive efficiency ηtotalSatisfying the required efficiency η0The inequality of (a) can be expressed as follows:
Figure BDA0002355579180000093
in the formula, ηGtPower generation efficiency of self-contained power plant ηdtThe power generation efficiency of the power grid; pGtThe output of the unit; pdtReal-time power output of the power grid; ptThe load at each time.
4-2, environmental protection analysis:
the carbon emission right in the carbon emission trading market is different from that of common productive resources, and profit can be brought to enterprises when circulating in each link of production marketing. Participation in the carbon emission right trading market not only responds to government calls for energy conservation and emission reduction, but also brings carbon trading cost or profit to enterprises, and the carbon emission right trading market will influence decision behaviors in the production and marketing processes of the enterprises. Thus, T1Carbon emissions Δ E to be traded over a period of timecarbonSpecifically, it can be expressed as follows:
Figure BDA0002355579180000101
the enterprise is in time period T1Internal class emission cost CC(PGt,Pdt) Can be expressed as follows:
Figure BDA0002355579180000102
in the above formula, M is the corresponding emission quota of the type of emission, cctTrading prices for the carbon emission market. When the carbon emission caused by self-contained electricity and purchased electricity exceeds the quota upper limit, namely the carbon emission cost is more than zero, purchasing carbon emission rights to other enterprises to maintain normal production; when the carbon emission caused by self-contained power and purchased power is less than the quota upper limit, namely the carbon emission cost is less than zero, the enterprise has redundant carbon emission rights on the premise of meeting the production requirement of the enterprise, and can sell the carbon emission rights to other enterprises to obtain profits.
4-3, minimizing an enterprise electricity cost model:
when the energy efficiency level and the environmental protection are considered, the enterprise electricity cost model is updated as follows:
CU＝CG(EGt)+CB(Pdt)+CC(PGt,Pdt)+CL(Pt)-CS(PGt,Pt) (19)
the constraints are as follows:
1) unit output restraint:
Figure BDA0002355579180000103
in the formula (I), the compound is shown in the specification,
Figure BDA0002355579180000104
the minimum output of the unit;
Figure BDA0002355579180000105
maximum output of the unit; rdt: the downward climbing speed of the unit; rut: the upward climbing speed of the unit; Δ T: a time scale is scheduled.
2) Energy efficiency level constraint:
Figure BDA0002355579180000106
in the formula, ηGtPower generation efficiency of self-contained power plant ηdtThe power generation efficiency of the power grid; pGtThe output of the unit; pdtReal-time power output of the power grid; ptThe load at each time.
3) Load transfer cost constraints:
Figure BDA0002355579180000107
in the above formula, CL(Pt): load transfer costs;
Figure BDA0002355579180000108
is the upper limit of load transfer cost.
4) Real-time power balancing:
Pdt+PGt＝Pt(23)
obtaining the optimal output P after the generator set is adjusted through the fmincon function solution model of MatlabGtAnd according to different scene requirements, calculating the adjustable capacity change rate and the adjustable electric quantity according to the formula (7) and the formula (9), and evaluating the flexibility of the self-contained power plant.
4-4, enterprise unit adjusting cost model:
cost per unit of adjustment
Figure BDA0002355579180000111
Enterprise electricity cost versus equivalent load (P) that can account for energy efficiency and environmental constraints on the order of minutest-PGt) Solving the partial derivatives, and deducing to obtain the unit regulation power consumption cost expression as follows:
Figure BDA0002355579180000112
in the formula, at: the secondary term coefficient of the output cost function of the generator set; bt: the first order coefficient of the output cost function of the generator set; c. Cdt: unit electricity price of purchasing electricity from the power grid at the moment t; c. Cst: the equivalent load responds to the subsidy cost issued by the power grid of 1MWh every time; c. Cct: carbon emission market trading price; k is a radical ofdt: a self-contained power supply power drain factor; k is a radical ofGt: power grid-powered power emission factors; pGtOutputting power for the unit; determining flexibility adjustment range according to actual cost requirement, for example, flexibility adjustment requirement of enterprise self-contained power plant is that unit adjustment cost is not more than deltaC0Then, it can be expressed as follows:
Figure BDA0002355579180000113
therefore, the output range of the unit meeting the economical efficiency is obtained, and a flexibility adjusting suggestion is provided for enterprises with self-contained power plants, so that the economical efficiency of the self-contained power plants can be adjusted flexibly.
As shown in the constraint model diagram of the unit output of the self-contained power plant in fig. 3, it can be found from the diagram that the upper limit of the point a when adjusted upward is the maximum unit output, the upper limit of the point B when adjusted upward is the upper limit of the unit climbing upward, the lower limit of the point C when adjusted downward is the lower limit of the unit climbing downward, and the lower limit of the point D when adjusted downward is the minimum unit output.
Example 2:
based on the same invention concept, the invention also provides a system for determining the flexibility adjustment quantity of the power generation and utilization resources of the self-contained power plant, which comprises:
the behavior data determining module is used for determining enterprise electricity generation and utilization behavior data based on the electricity generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and a pre-constructed electricity generation and utilization behavior characteristic index model of the self-contained power plant;
the capacity determining module is used for determining the flexibility adjusting capacity of the self-contained power plant based on the enterprise electricity generating and using behavior data, preset indexes and a pre-constructed enterprise electricity using cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
The capability determination module includes: the index setting submodule, the model building submodule and the adjusting submodule are connected;
the index setting submodule is used for providing different flexibility evaluation indexes from the aspects of minute level and hour level according to different requirements of frequency modulation, peak regulation and new energy consumption;
the model building submodule: the method is used for constructing an enterprise electricity cost model;
and the calculation submodule calculates the flexibility regulation capacity of the self-contained power plant based on enterprise electricity generation and utilization behavior data corresponding to the minimum enterprise electricity utilization cost calculated by the enterprise electricity utilization cost model.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The present invention is not limited to the above embodiments, and any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention are included in the scope of the claims of the present invention which are filed as the application.

Claims (13)

1. A method for evaluating flexibility adjustment capability of power resources for power generation of a self-contained power plant is characterized by comprising the following steps:
determining data corresponding to each behavior characteristic of the power generation and utilization of the enterprise based on the power generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and the pre-constructed power generation and utilization behavior characteristic indexes of the self-contained power plant;
determining flexibility adjusting capacity of the self-contained power plant based on data corresponding to the enterprise electricity generation and utilization behavior characteristics, preset flexibility evaluation indexes and a pre-constructed enterprise electricity utilization cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
2. The method of claim 1, wherein the self-contained power plant electricity generation behavior characteristic indicators comprise:
daily load rate, daily peak-valley difference rate, comprehensive efficiency, carbon emission, daily purchased power grid electric quantity and daily new energy consumption.
3. The method of claim 2, wherein the daily load rate is calculated as:
Figure FDA0002355579170000011
in the formula, K1The daily load rate of the enterprise self-provided power plant; pt: loading at each moment; ptmaxThe daily maximum load; t: number of groups representing load data;
the daily peak-to-valley difference rate is calculated according to the following formula:
Figure FDA0002355579170000012
in the formula, K2The day peak valley difference rate of the self-provided power plant of the enterprise; ptminThe daily minimum load;
the overall efficiency is calculated as follows:
Figure FDA0002355579170000013
in the formula, ηtotalOverall efficiency ηGtPower generation efficiency of self-contained power plant ηdtThe power generation efficiency of the power grid; pGtThe output of the unit; pdtReal-time power output of the power grid; ptLoading at each moment;
the carbon emission is calculated as follows:
Figure FDA0002355579170000014
in the formula, kGtPower discharge factor, k, for self-contained power supplydtAnd the power emission factor for supplying power to the power grid, and delta t is the interval time.
4. The method of claim 3, wherein the daily power purchased from the power grid is calculated as follows:
Figure FDA0002355579170000021
in the formula, QBuyPurchasing electric quantity of a power grid daily; Δ t is the interval time;
the daily new energy consumption is calculated according to the following formula:
Figure FDA0002355579170000022
in the formula, Qrenew: the daily new energy consumption;
Figure FDA0002355579170000023
new energy at time tThe ratio of the output.
5. The method of claim 1, wherein the setting of the indicator comprises:
determining a flexibility evaluation index based on a plurality of time step lengths aiming at different requirements of frequency modulation, peak shaving and new energy consumption;
wherein the flexibility assessment indicator based on a plurality of time steps comprises: a flexibility evaluation index based on a minute level and a flexibility evaluation index based on an hour level;
the flexible evaluation indexes of the minute level comprise: the unit regulation rate and the unit regulation cost of the equivalent load;
the flexible evaluation indexes of the hour scale comprise: the adjustable electric quantity of the equivalent load of the self-contained power plant.
6. The method of claim 5, wherein the rate of unit adjustment of the equivalent load is calculated as:
Figure FDA0002355579170000024
in the formula (I), the compound is shown in the specification,
Figure FDA0002355579170000025
representing the unit output before the load transfer at each moment; Δ T is the scheduling timescale; r ist rate: the unit regulation rate of the equivalent load; ruserThe load transfer amount is minute-scale; rt: synthesizing external loads obtained by power generation and utilization systems of enterprises to which the self-contained power plants belong; pGtThe output of the unit;
the unit adjustment cost is calculated as follows:
Figure FDA0002355579170000026
in the formula (I), the compound is shown in the specification,
Figure FDA0002355579170000027
unit adjustment cost; cU: the cost of electricity consumption of enterprises; pt: the load at each time.
7. The method of claim 6, wherein the adjustable power level is calculated as:
Figure FDA0002355579170000028
in the formula (I), the compound is shown in the specification,
Figure FDA0002355579170000031
the electric quantity can be adjusted; quserThe load transfer amount is small; Δ t is the interval time.
8. The method of claim 1, wherein the constructing of the enterprise electricity cost model comprises:
constructing a target function by taking the lowest enterprise cost as a target under the premise of considering the energy efficiency level and the environmental protection;
constructing a plurality of constraint conditions for the objective function, and solving the enterprise electricity cost model to obtain the minimum enterprise electricity cost;
the constraint conditions include: the method comprises the following steps of unit output constraint, energy efficiency level constraint, load transfer cost constraint, real-time power balance and enterprise unit adjustment cost constraint.
9. The method of claim 8, wherein the objective function is calculated as:
CU＝CG(EGt)+CB(Pdt)+CC(PGt,Pdt)+CL(Pt)-CS(PGt,Pt)
in the formula, CU: the minimum enterprise electricity utilization cost; cG(PGt): at T1The power generation cost of the unit in a time period; cB(Pdt): electricity charges purchased from the grid; cS(PGt,Pt): subsidy cost of the power grid; cL(Pt): discomfort translates into cost; cC(PGt,Pdt): carbon emission costs.
10. The method of claim 9, wherein the carbon emission cost CC(PGt,Pdt) Calculated as follows:
Figure FDA0002355579170000032
in the formula, CC(PGt,Pdt): carbon emission cost; m is the corresponding emission quota of the class of emission, cctTrading prices for carbon emission markets; k is a radical ofGtA power drain factor to self-contained power; k is a radical ofdtA power discharge factor to power the grid; Δ t is the interval time; pGtThe output of the unit; pdtAnd (5) real-time power output of the power grid.
11. The method of claim 10, wherein determining the self-contained 2-graph based on the enterprise electricity generation and consumption behavior data and pre-established metrics and a pre-constructed enterprise electricity cost model comprises:
on the premise that the comprehensive efficiency meets the required efficiency, solving the enterprise power utilization cost model based on the enterprise power generation and utilization behavior data to calculate the minimum enterprise power utilization cost;
and calculating the adjustable capacity adjusting rate, the unit adjusting cost and the adjustable electric quantity of the self-contained power plant based on the enterprise electricity generation and utilization behavior data corresponding to the minimum enterprise electricity utilization cost.
12. An assessment system for flexibility adjustment capability of power generation resources of a self-contained power plant, the system comprising:
the behavior data determining module is used for determining enterprise electricity generation and utilization behavior data based on the electricity generation and utilization data of the self-contained power plant, the power grid electricity purchasing data and a pre-constructed electricity generation and utilization behavior characteristic index model of the self-contained power plant;
the capacity determining module is used for determining the flexibility adjusting capacity of the self-contained power plant based on the enterprise electricity generating and using behavior data, preset indexes and a pre-constructed enterprise electricity using cost model;
the flexibility adjusting capacity comprises adjustable capacity adjusting rates, unit adjusting cost and adjustable electric quantity corresponding to various time steps determined by different requirements.
13. The system of claim 12, wherein the capability determination module comprises: the index setting submodule, the model building submodule and the adjusting submodule are connected;
the index setting submodule is used for providing different flexibility evaluation indexes from the aspects of minute level and hour level according to different requirements of frequency modulation, peak regulation and new energy consumption;
the model building submodule: the method is used for constructing an enterprise electricity cost model;
and the calculation submodule calculates the flexibility regulation capacity of the self-contained power plant based on enterprise electricity generation and utilization behavior data corresponding to the minimum enterprise electricity utilization cost calculated by the enterprise electricity utilization cost model.
CN202010006887.0A 2020-01-03 2020-01-03 Evaluation method and system for flexibility adjustment capability of power generation and utilization resources of self-contained power plant Pending CN111242438A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113570405A (en) * 2021-07-01 2021-10-29 国网能源研究院有限公司 Power generation and utilization cost modeling analysis method and device for self-contained power plant
CN116823295A (en) * 2023-08-31 2023-09-29 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113570405A (en) * 2021-07-01 2021-10-29 国网能源研究院有限公司 Power generation and utilization cost modeling analysis method and device for self-contained power plant
CN116823295A (en) * 2023-08-31 2023-09-29 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry
CN116823295B (en) * 2023-08-31 2024-04-19 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry

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