CN103824124A - Energy-saving potential assessment method for power grid company - Google Patents

Abstract

The invention relates to an energy-saving potential assessment method for a power grid company. According to the method, a power grid energy-saving database is established based on collection of power grid data, wherein loss reduction and energy conservation, equipment energy conservation, power grid flow data, and power grid topological structure are contained in the database; an energy-saving potential index model is established according to a to-be-assessed power grid data situation; all subitem energy-saving potentials are calculated by comparing with a corresponding energy-saving modification scheme; and then an energy-saving modification plan is made. With the method, power grid energy-saving data classification is completed; the direction and target of the energy-saving work development are determined; and an energy-saving analysis process from energy-saving index model selection to subitem energy-saving potential calculation is established and thus a piece of operative energy-saving modification advice of energy-saving work development can be provided for a basic-level power grid company.

Description

A kind of energy potential evaluation method for grid company

Technical field

The present invention relates to electrical network field of energy-saving technology, particularly a kind of energy potential evaluation method for grid company.

Background technology

Energy-saving and emission-reduction are fundamental state policies of China, advise that energy-efficient electrical network is a very important link wherein, and power grid enterprises are bearing important social responsibility in the middle of this.

The main cause that in power grid enterprises, electric energy loss produces be electric energy through defeated, become, join, with the loss that exists impedance to produce due to power equipment in four-stage, and the loss causing due to reasons such as metering outfit error and mismanagements.Power grid enterprises' wastage reducing and energy saving work both at home and abroad mainly comprises Electric Power Network Planning and construction, economy operation of power grid, line loss management and four parts of demand Side Management.The electrical network that structure is good, equipment is advanced is the basis that falls damage, and the design and construction of electrical network should take into full account the impact on grid line loss; Had strong electrical network, economic load dispatching is to reduce the effective measure of grid line loss rate, and economic load dispatching does not need investment and fall to damage effectively, is the important means that reduces grid loss; Demand Side Management is to rely on the measure correct guidance electricity needs such as price and excitation, reaches efficiency and load dual command, is also one of energy-conservation important means at present.

At present have the Electric Power Network Planning information aspect power transmission network and transformer station at each basic unit electrical network, but take the energy-conservation basic data combing deficiency as object of electrical network, the direction and the target that cause energy conservation to be carried out are indefinite.And the complementation of existing power distribution network energy-saving potential analytical approach shortage Static State Index and dynamic indicator, when Energy-saving Data has in limited time, cannot finely reach energy-saving effect prediction., energy-saving index should be combined with energy saving means meanwhile, thereby form a set of complete energy-saving potential analytical approach for electrical network unit, make the energy conservation of grid company more there is practicality and systematicness.

Summary of the invention

The object of this invention is to provide a kind of energy potential evaluation method for grid company, under huge electric network data, filter out take the energy-conservation basic data as object, and create based on this energy-saving index model, in conjunction with energy-conservation modification schemes such as reactive-load compensation, adjustment busbar voltage, replacing energy-efficient equipment, the managements of power load, calculate the energy-saving potential size of each electrical network unit, and provide reducing energy consumption suggestion.

The technical scheme that the present invention solves the problems of the technologies described above is as follows:

The present invention, by the processing of electrical network Energy-saving Data classification, has set up the energy-saving index model that meets electrical network feature.The energy potential evaluation system that the present invention is directed to grid company comprises two kinds of index models, i.e. trend energy-saving index model and degree of association energy-saving index model.

Trend energy-saving index model of the present invention is the small grids unit perfect for flow data, adopt and before quantity of state, push back die algorithm take branch road network loss, complete the calculating of power attenuation by data such as each node voltage, electric current, active power, reactive powers.

Degree of association energy-saving index model of the present invention is for flow data imperfection or baroque large-scale power grid unit, calculates grey relational grade according to static data, sets up forecast model, thereby complete the calculating of power attenuation from strong degree of association index.

A kind of energy potential evaluation method for grid company of the present invention, comprises the steps:

Step 1: set up electrical network Energy-saving Data storehouse, comprise wastage reducing and energy saving, device energy conservation, electric network swim data, topological structure of electric; Wherein, wastage reducing and energy saving data comprise electric power thus supplied, circuit, transformer, transformer station's situation; Device energy conservation comprises reactive-load compensation, harmonic wave control, energy-efficient equipment situation; Lower 24 active power of peak day on electric network swim packet vinculum road, reactive power, voltage, electric current, average busbar voltage, customer charge; Topological structure of electric comprises electric network wiring scheme, transforming plant primary wiring diagram under division of the power supply area figure, each electric pressure;

Step 2: check network topology and the flow data of electrical network to be assessed, electrical network to be assessed is divided into two classes, the first kind is the perfect small grids unit of flow data, and Equations of The Second Kind is flow data imperfection or baroque large-scale power grid unit;

Step 3: according to the classification situation of step 2, for first kind electrical network creates trend energy-saving index model, go to step 4; Set up degree of association energy-saving index model for Equations of The Second Kind electrical network, go to step 5;

Step 4: for trend energy-saving index model, the numerical value of Optimization of Energy Saving index, pushes back before utilization for tidal current computing method and draw this individual event energy-saving potential size, goes to step 6;

Step 5: for degree of association energy-saving index model, set up incidence relation, create mathematical forecasting model according to strong degree of association index, the numerical value of Optimization of Energy Saving index, utilizes forecast model to try to achieve the size of this individual event energy-saving potential, goes to step 6;

Step 6: in conjunction with individual event energy-saving potential, contrast energy-saving scheme, makes reducing energy consumption suggestion.

The present invention is directed in the energy potential evaluation step 4 of grid company, the computing method of individual event energy-saving potential value are determined by following formula:

$\mathrm{\β}=\frac{\mathrm{\α}-{\mathrm{\α}}_0}{{\mathrm{\α}}_0}=\frac{\mathrm{\ΔP}-{\mathrm{\ΔP}}_0}{{\mathrm{\ΔP}}_0}$

Wherein, β represents the energy-saving potential value under this reducing energy consumption scheme, and α represents the line loss per unit under this modification scheme, α ₀be expressed as the original line loss rate before reducing energy consumption, Δ P represents the active power loss value under this modification scheme, Δ P ₀be expressed as the original active power loss before reducing energy consumption.

The useful technique effect of the present invention is, energy conservation person can unify monitoring and management to the Energy-saving Data under different electric pressures, clearly understands highly energy-consuming electrical network link and index inferior.Single power network line or electrical network unit are carried out to line loss calculating, for the formulation of short-term and long-term energy conservation plan lays the foundation.The invention provides differentiation Analysis Method of Saving Energy, created two kinds of different energy-saving index models and energy-saving potential computing method, two kinds of models supplement mutually, perfect energy-saving analysis work.The present invention has summed up kind power-saving technology, corresponding corresponding energy-saving index energy-saving scheme is calculated to the size of energy-saving potential, for consumption reduction effect and energy-saving benefit are made the theory support of quantification.

The present invention is applicable to the energy potential evaluation of electrical network unit.

Accompanying drawing explanation

Fig. 1 is the topology diagram for the energy-saving potential electrical network to be assessed of grid company in the present invention;

Fig. 2 is the energy potential evaluation method operational flowchart for grid company in the present invention;

Fig. 3 is for the algorithm flow chart in the energy potential evaluation method of grid company in the present invention.

Embodiment

Below in conjunction with drawings and Examples, the present invention is further illustrated.Should be emphasized that, below explanation is only exemplary, rather than in order to limit the scope of the invention and to apply.

Take the energy-saving potential of analyzing certain 10kV distribution line as embodiment, its configuration of power network as shown in Figure 1.Resistance and reactance value that the Energy-saving Data collecting comprises each circuit model, line length, line node, circuit, the model of each distribution transforming, capacity, open circuit loss, load loss, no-load current, the moon trend situation of circuit comprises that total power supply is meritorious, always power idle, total active loss, total reactive loss, circuit average voltage, line loss, the total copper loss of distribution transforming, the total iron loss of distribution transforming, power factor, line loss per unit, Rate of average load.

Complete this routine energy-saving potential analysis according to the energy potential evaluation method operational flowchart for grid company shown in Fig. 2.First by the electric network data typing Energy-saving Data storehouse gathering, learn that according to electrical network network structure and flow data analysis this electrical network to be assessed is the perfect small grids unit of flow data.Complete after judgement, set up trend energy-saving index model, draw the total active loss under every reducing energy consumption scheme according to tidal current computing method.

The tidal current computing method specific implementation process wherein adopting is as follows:

(1) read in system data: feeder line terminal voltage V ₀, each branch road resistance R _i, reactance X _i, the active-power P L of each node load _ireactive power Q L with each node load _i(i=1,2, K, n);

(2) set up tree; The situation of being powered to any number of load buses by radial networks by a supply terminals, sets up radial networks;

(3), to iterations k=0, choose iteration precision ε;

(4) making all branch road losses is 0,

what wherein, LP, LQ represented respectively is active loss and the reactive loss between circuit two nodes;

(5) power that each node-flow is crossed is calculated in through type (2), (3)

$P_i=\underset{j=i}{\overset{n}{\mathrm{\Σ}}}{\mathrm{PL}}_j+\underset{j=i+1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{LP}}_j---\left(2\right)$

$Q_i=\underset{j=i}{\overset{n}{\mathrm{\Σ}}}{\mathrm{QL}}_j+\underset{j=i+1}{\overset{n}{\mathrm{\Σ}}}{\mathrm{LQ}}_j---\left(3\right)$

(6) through type (4) starts to calculate the voltage magnitude of each point from feeder line end node | V _i ^k|;

$\left|V_i\right|=\sqrt{{[{(P_i{R}_i+Q_i{X}_i-\frac{1}{2}{\left|V_{i-1}\right|}^2)}^2-(R_i^2+X_i^2)(P_i^2+Q_i^2)]}^{\frac{1}{2}}-(P_i{R}_i+Q_i{X}_i-\frac{1}{2}|{V_{i-1}}^2\left|\right)}---\left(4\right)$

(7) loss that each branch road is calculated in through type (5), (6)

${\mathrm{LP}}_i=\frac{R_i(P_i^2+Q_i^2)}{{\left|V_i\right|}^2}---\left(5\right)$

${\mathrm{LQ}}_i=\frac{X_i(P_i^2+Q_i^2)}{{\left|V_i\right|}^2}---\left(6\right)$

(8) through type (7), (8) iterative computation branch current and node voltage real part and imaginary part;

$I_i=\frac{V_{i-1}-V_i}{R_i+j{X}_i}---\left(7\right)$

$V_i=\frac{P_i+j{Q}_i}{I_i^{*}}---\left(8\right)$

(9) calculate ${\mathrm{\ΔLP}}_i={\mathrm{LP}}_i^{k+1}-{\mathrm{LP}}_i^k,{\mathrm{\ΔLQ}}_i={\mathrm{LQ}}_i^{k+1}-{\mathrm{LQ}}_i^k;$ Wherein, with what represent respectively is the circuit active loss of the K+1 time, the k time iteration; Δ LP is both differences, for the judgement of iterations;

with

what represent respectively is the circuit reactive loss of the K+1 time, the k time iteration, Δ LQ _ibe both differences, for the judgement of iterations.

(10) judge max| Δ LP _i| < ε and max| Δ LQ _i| < ε, stops calculating Output rusults; Otherwise continue next step;

(11) judge otherwise arrive maximum iteration time, if reached, stopping calculating Output rusults; Otherwise iterations adds one, i.e. k=k+1, carries out from step (5) circulation, until satisfy condition.Calculate each subitem energy potential evaluation structure according to grid equipment data and flow data as shown in table 1.

Table 1 energy-saving potential subitem assessment result

From the energy potential evaluation result of this distribution line, adopting to reduce the reducing energy consumption mode energy-saving potential maximum of radius of electricity supply as object, is 22.96%, is secondly to carry out reactive-load compensation, its energy-saving potential is 17.9%, and changing circuit simultaneously and changing transformer also has certain energy-saving potential.

Then, take the energy-saving potential of analyzing certain power supply unit as embodiment.The Energy-saving Data collecting only comprises the static data of each circuit and substation transformer, analyzes and learns that this electrical network to be assessed is the incomplete electrical network of flow data unit.Complete after judgement, set up degree of association energy-saving index model, as shown in table 2.

Table 2 degree of association energy-saving index model table

The grey relational grade of each energy-saving index is (0.599,0.635,0.875,0.861,0.583,0.7760.885,0.680,0.776) energy-saving index of, selecting the strong degree of association is insulation rate, cable rate, average power factor, circuit Rate of average load, high-energy-consumption transformer ratio.The computing method of grey relational grade are to calculate by setting up raw data matrix, normalization index, parameter.

Set up mathematical forecasting model with comprehensive line loss per unit and strong degree of association energy-saving index, contrast historical line loss data, average forecasting error is 2.32%, precision engineering demands.On the basis of this forecast model, according to Electric Power Network Planning or engineering objective data, the energy-saving index of the default strong degree of association reaches the grid line loss rate of optimal value respectively, contrast line loss value and predicted value, can obtain the energy-saving potential under this energy-saving index optimization, as shown in table 3 below.

Table 3 energy-saving potential subitem assessment result

?	Original index value	Planning index value	Original line loss rate	Plotted line loss rate	Energy-saving potential value
						Insulation rate	57.1%	60%	1.59%	1.563%	1.84%
Cable rate	56.5%	60%	1.59%	1.573%	1.17%
						Average power factor	0.94	0.95	1.59%	1.545	2.94%
Circuit Rate of average load	37.9	37	1.59%	1.576%	1.00%
						High-energy-consumption transformer ratio	6.7	5	1.59%	1.577	0.80%

From the energy potential evaluation result of this distribution line, adopting to improve the reducing energy consumption mode energy-saving potential maximum of average power as object, is 2.94%, is secondly to improve insulation rate, its energy-saving potential is 1.84%, and improve cable rate also has certain energy-saving potential simultaneously.

Method provided by the invention, fully investigating on the basis of Energy-saving Data, excavate wastage reducing and energy saving from electric network composition, operation of power networks, grid equipment, the several angles of the management of power load and optimize index and reducing energy consumption scheme, two species diversity energy-saving index models are set up, to electrical network, energy conservation provides planning index and the objective planning proposal of quantification, instructs and Energy Saving Strategy evaluation for decision maker provides energy potential evaluation clearly.

Claims (2)

1. for an energy potential evaluation method for grid company, it is characterized in that, described method comprises the steps:

Step 1: set up electrical network Energy-saving Data storehouse, comprise wastage reducing and energy saving, device energy conservation, electric network swim data, topological structure of electric; Wherein, wastage reducing and energy saving data comprise electric power thus supplied, circuit, transformer, transformer station's situation; Device energy conservation comprises reactive-load compensation, harmonic wave control, energy-efficient equipment situation; Lower 24 active power of peak day on electric network swim packet vinculum road, reactive power, voltage, electric current, average busbar voltage, customer charge; Topological structure of electric comprises electric network wiring scheme, transforming plant primary wiring diagram under division of the power supply area figure, each electric pressure;

Step 2: check network topology and the flow data of electrical network to be assessed, electrical network to be assessed is divided into two classes, the first kind is the perfect small grids unit of flow data, and Equations of The Second Kind is flow data imperfection or baroque large-scale power grid unit;

Step 3: be that first kind electrical network creates trend energy-saving index model according to the classification situation of step 2, go to step 4; Set up degree of association energy-saving index model for Equations of The Second Kind electrical network, go to step 5;

Step 4: for trend energy-saving index model, the numerical value of Optimization of Energy Saving index, pushes back before utilization for tidal current computing method and draw this individual event energy-saving potential value, goes to step 6;

Step 5: for degree of association energy-saving index model, set up incidence relation, create mathematical forecasting model according to strong degree of association index, the numerical value of Optimization of Energy Saving index, utilizes forecast model to try to achieve this individual event energy-saving potential value, goes to step 6;

Step 6: in conjunction with individual event energy-saving potential, contrast energy-saving scheme, makes reducing energy consumption suggestion.

2. a kind of energy potential evaluation method for grid company according to claim 1, is characterized in that, the computing method of described individual event energy-saving potential value are determined by following formula:

$\mathrm{\&beta;}=\frac{\mathrm{\&alpha;}-{\mathrm{\&alpha;}}_0}{{\mathrm{\&alpha;}}_0}=\frac{\mathrm{\&Delta;P}-{\mathrm{\&Delta;P}}_0}{{\mathrm{\&Delta;P}}_0}$ Wherein, β represents the energy-saving potential value under this reducing energy consumption scheme, and α represents the line loss per unit under this modification scheme, α ₀be expressed as the original line loss rate before reducing energy consumption, Δ P represents the active power loss value under this modification scheme, Δ P ₀be expressed as the original active power loss before reducing energy consumption.

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