WO2014110878A1

WO2014110878A1 - Auxiliary analysis method for optimization of current scheduling plan in wind-fire coordinated scheduling mode

Info

Publication number: WO2014110878A1
Application number: PCT/CN2013/075498
Authority: WO
Inventors: 涂孟夫; 陈之栩; 刘军; 丁恰; 高宗和; 戴则梅; 王长宝; 徐帆; 张彦涛; 李利利
Original assignee: 国电南瑞科技股份有限公司
Priority date: 2013-01-16
Filing date: 2013-05-10
Publication date: 2014-07-24
Also published as: CN103077430B; CN103077430A

Abstract

Disclosed is an auxiliary analysis method for optimization of a current scheduling plan in a wind-fire coordinated scheduling mode, which aims at minimizing the power generation cost of a system, and comprehensively considers factors such as a connection line plan, a spare plan, and deep peak regulation of a unit under the circumstance that wind abandonment may occur in a power grid, so as to ensure that wind power is integrated into the power grid as much as possible, thereby improving the utilization of intermittent-type energy sources and increasing economic benefits. Meanwhile, the method has the characteristics of low computing intensity and strong adaptability, and is more suitable for being promoted and applied to scheduling mechanisms with large wind-power integration power in China.

Description

Auxiliary analysis method for dispatching plan optimization under the wind-fire coordination mode

The invention relates to a power system dispatching automation technology, in particular to a method for optimizing an auxiliary analysis of a daily dispatching plan under a wind-fire coordinated scheduling mode.

Background technique

As one of the most mature new energy utilization methods, wind power has increased its installed capacity with the support of national policies. As of the end of 2011, the cumulative installed capacity of wind power exceeded 65 million kW, ranking first in the world. However, the average utilization hours of wind power decreased by 144 hours compared with the previous year, only 1903 hours, far from the expected target. Wind power has the characteristics of uncertainty, volatility and anti-peak shaving, and the accuracy of existing short-term wind power prediction is not high, which brings challenges to system backup, peak shaving and power balance. At the same time, the domestic power generation operating environment is dominated by large thermal power. In the northern regions where wind power is connected to the grid, the peak characteristics of wind power will further increase the peak-to-valley difference of the power grid. Due to factors such as peak shaving, transportation and spare capacity, some areas with high wind power penetration have serious wind abandonment. Wind power consumption has become the focus of the society, and it is a major problem that needs to be solved urgently in the current power grid dispatching operation.

With the development of smart grid dispatching technical support system and the development of lean grid scheduling, Safety Constrained Units (SCUC) and Safety Constrained Economic Dispatch (SCED) have been applied in the production of dispatching plans, but at present, China's dispatching plans are generally long. The combination of medium and short-cycle plans, the SCUC method is fully adopted in the previous plan, which is most beneficial to the consumption of wind power, but it has a great impact on the grid production plan, and there are great difficulties in actual production; and the SCED method Does not change the start and stop plan of the unit, which has affected the consumption of wind power to a certain extent.

The lack of wind power acceptance is mainly due to the weak grid structure and unreasonable power supply layout, which cannot meet the grid frequency voltage and power supply reliability requirements of high-permeability new energy power generation. However, the start-stop and output plan of the unit also has a very obvious impact on the acceptance of new energy. Through coordination and optimization with conventional energy power generation, it is helpful to tap the potential of the power grid and enhance the capacity of new energy power generation.

Summary of the invention

OBJECT OF THE INVENTION In order to overcome the deficiencies in the prior art, the present invention provides an optimization analysis method for a day-to-day scheduling plan under a coordinated mode of wind and fire, based on a power generation plan optimization result in a coordinated mode of intermittent energy and conventional energy, Under the condition that the power grid needs to abandon the wind, it can flexibly analyze the influence of various factors in the actual dispatch, dispatch various auxiliary adjustment channels, and improve the level of wind power received by the power grid.

Technical Solution: In order to achieve the above object, the technical solution adopted by the present invention is:

In the wind-fire coordination mode, the day-to-day scheduling plan optimization auxiliary analysis method includes the following steps:

(1) Based on the physical model and economic model of the actual power grid, considering the system balance constraints, unit operation constraints, and grid security constraints, establish a wind power coordination scheduling day-to-day power generation plan optimization model with the minimum system power generation cost as the goal. Type, the pre-issue electric plan optimization model is:

Objective function:

Where NT is the number of periods included in the system scheduling period; the number of units participating in the scheduling in the system;

T I s is the number of power generation cost segments of the unit; c is the power generation cost of the unit in the segment s, increasing in increments; I is the unit

l, tl, t, S period is the unit output increment in the segment s; _w is the operating state of the unit in the period, 1 means running, 0

l,t

Showdown; C. Power generation cost for the unit at the lowest technical output; y for the unit During the period Whether there is a shutdown to open

I i,t

The sign of the change of the machine state; C _e7 ^ is the starting cost of the unit; z is the start-to-stop of the unit during the period

S1 , ι i,t

The sign of the state change; C^. is the cost of the unit/downtime;

SD,i

Restrictions:

Ν _τ N,

TIE

∑ Pi,t ⁺ ∑ ^tie Ptie,t= ^PD t (2) i=l tie=l

<RD.-u- Country Earn

I (6) (1—u _it ) = 0 TU _t =max{0,min[N ,( [/ ¹¹ -Γ[/ )·Μ· _Q ]} (7) ί=1 '

ΓΖ).

∑ u- _† =0; TD.=max{0,mm[N _T ,(TD^ ^mn -TD9)-(lu. _n )]} (8) t=i

ζ"+ ∑ y _it <\ V , t = r _; +l,...,N _r ( 10)

' τ=ΐ+1 '

Tie _tie , _t = TieP _{tie t} , (tie, t) e _ΤΡΙαη ( 11 ) where corpse / ^ is the total load of the system power generation calibre; ρ is the output of the unit during the period, pi ¹¹¹¹¹ is tl, t I unit / Minimum technical output (output corresponding to the baseline cost); Ν _τ . Number of lines for the system and the external grid; lie

For the contact line ^ delivery/receiving plan during the period; ΤίΓ is the rotation standby calculation period (such as 5 minutes rotation, 30 minutes rotation), ^^^ and ^^^ are the lower limit of the output and the upper limit of the output of the unit during the period; And for the unit to provide the upper and lower rotation reserve during the period, ρ, is the standby demand for the system to spin up and down during the period;

717. For the minimum continuous running time of the unit, it needs to be deducted according to the initial running time before calculation; where 71/ !^n

I I

And Z) ^min are the minimum start-up and downtime of the unit, the initial state of the unit; 7T/ ^Q and r) ^Q points

I 1,0 I I is the time that the unit has been turned on and off at the initial time; 17. and ΓΖ are the units at the beginning of the dispatch

I I

The minimum run time or outage time must continue to run and stop; TieP is the tie line ^ in the period tie, t

Trading plan; Φ^^ is a time set for the planning tie line;

(2) Solving the day-to-day power generation plan optimization model, determining whether wind is needed according to the calculation result, if wind is needed, performing wind power optimization auxiliary analysis, setting wind power optimization auxiliary analysis parameters, the wind power optimization auxiliary analysis parameters including start-stop unit , the maximum number of start-stop groups, the adjustable peak unit, the maximum number of peak-sharing units, the fixed-planning unit and the tie line of the adjustable plan, and the adjustable ratio of the system standby;

(3) Constructing multiple auxiliary analysis cases based on wind power acceptance optimization auxiliary analysis parameters, and analyzing ways to improve wind power consumption;

(4) Using the wind power optimization auxiliary analysis optimization model to optimize the solution for all auxiliary analysis cases, statistical analysis of the start and stop peaking of each unit, unit deep peak shaving, unit fixed plan adjustment, tie line plan adjustment, standby different proportion adjustment Next, the wind power consumption changes;

(5) According to the results of statistical analysis, it is judged whether there is a feasible method to improve wind power consumption. If it exists, it analyzes and determines the method of improving wind power consumption adopted by the optimization plan of the previous power generation plan, modifies the preparation conditions of the previous power generation plan, and optimizes the preparation of new A few days ago, the power generation plan. (a) For the start and stop peaking of the unit, mainly for small and medium-sized units, in the case of structural auxiliary analysis cases, the following constraints must be added to the wind power optimization auxiliary analysis optimization model:

Yf^ zf^ {0, 1}

i=l

∑ ^≤ mz

i=l

Among them, Φ ^ is the set of units that are willing to participate in the start and stop peaking, whether the unit starts and stops, the aof I I quantity, my and mz are the maximum allowable start and stop quantity;

(b) For some large and medium-sized fire units to deep-tune peaks, in the case of constructing auxiliary analysis cases, the following constraints must be added to the wind power optimization auxiliary analysis optimization model:

Viopi _t < viopfi · viopli _t

< mviop where Φ . The unit that can undertake the task of deep peak shaving, which is the peak amplitude of the unit during the period, vioa i,t

Whether the unit has a deep peak peaking variable, νΰψ^ _† is the maximum peak amplitude limit parameter of the unit during the period, and rnWop is the maximum depth peaking unit number;

(c) For the fixed plan adjustment of the unit, in the case of difficult wind power consumption, properly adjust the fixed plan of such units, and the grid payment deviates from the extra cost of economic operation, which is conducive to improving the ability of the grid to absorb wind power. In the case of case, the following constraints need to be added to the wind power optimization auxiliary analysis optimization model:

Ρ _υ = Ρ _υ +

V(i, i) e Φ _ρ1αη n Φ „ (d) For optimizing the external tie line transmission and reception plan, when constructing the auxiliary analysis case, the following constraints need to be added to the wind power optimization auxiliary analysis optimization model:

T ^ie P,ie,, = ^TieP i,t + ^Me ^Ptie , _t - ^A Ptie, _t

t) G

(e) For optimizing system backup requirements, consider alternate adjustments. When constructing an auxiliary analysis case, you need to express the system spin-off standby constraint as:

f» _

Among them, ³ is the down-spinning standby variable with the period reduced, which is the lower-rotation reserve with the largest down period. The wind power optimization aids the analysis decision at the cost of increasing the additional cost, and comprehensively considers various methods adopted by the grid to improve wind power consumption. After paying additional costs, the overall optimization goal is expressed when the wind power optimization auxiliary analysis decision is added:

E^atiet-l t-l

Among them, for the general optimization objective of the auxiliary analysis for the previous scheduling plan, F is the optimization target of the conventional safety-constrained unit combination, /^ is the unit cost of the unit during the deep adjustment of the unit, and αρ^ is the additional unit cost of the unit deviating from the fixed output during the period. , ^'^^ is to adjust the unit cost of the contact line ^ in the time period, in order to reduce the risk cost of the unit system standby.

Intermittent energy will play an important role in the future energy structure, but wind power, as its representative, is random, volatility and intermittent, and has lower reliability than conventional energy. When the power generation plan is specified, the present invention fully coordinates various complicated factors to ensure that as many wind powers as possible are safely connected to the power grid.

The invention solves the problem of optimizing the standby demand of the system, optimizing the external tie line to receive the power receiving plan, and deepening the peak level of the unit by analyzing and optimizing the standby demand of the power grid, and counting the auxiliary strategies for improving the wind power consumption, although the auxiliary strategy will generate certain The extra cost, but compared with the thermal power generation, the power generation cost is guaranteed to be the lowest in the case of wind power consumption. Advantageous Effects: The optimization analysis method for the day-to-day scheduling plan under the wind-fire coordination mode provided by the present invention is an optimized auxiliary analysis that comprehensively considers the coordination of intermittent energy and conventional energy, and improves the safe operation and economy of the power grid. The ability of the grid to accept wind power.

DRAWINGS

Figure 1 is a flow chart of the present invention.

Detailed ways

The present invention will be further described below in conjunction with the accompanying drawings.

An auxiliary auxiliary analysis method for daily dispatching plan under the coordinated mode of intermittent energy and conventional energy, as shown in the figure

1 is a flow chart of a preferred embodiment of the method; in the preparation process of the grid pre-generation power generation plan optimization model, considering the sub-day wind power prediction situation and the available state of each conventional unit, load balance constraint, unit operation constraint, Factors such as grid security constraints may cause wind abandonment.

In the intermittent energy source and conventional energy coordinated scheduling mode of the present invention, the auxiliary power generation planning optimization auxiliary analysis method, in the case that the system needs to abandon the wind, optimizes the external contact line to receive the power receiving plan, optimizes the system standby demand, and performs deep adjustment on the unit. Peaks and other aspects improve the ability of the grid to absorb wind power. The method specifically includes the following steps:

(1) Based on the physical model and economic model of the actual power grid, considering the system balance constraint, unit operation constraints, and grid security constraints, establish a wind power coordination scheduling power generation plan optimization model with the minimum system power generation cost as the target. The plan optimization model is:

Objective function:

l,t l,t,S

The output of the unit is in the segment s; _w is the operating state of the unit during the period, 1 means running, 0

l ,t

I i,t

S1 , ι i,t

The sign of the state change; C^. is the cost of the unit/downtime;

SD,i

Restrictions:

a. Power balance constraint: Ν _ΉΕ

∑ Pj + ∑ tiep _{tie t} = PD _t i=l 'tie=l ' ,

r^ _t < min(«. · p^ ^x -p. , RU. RT)

i=\

≤ ^min( w C ' ^RT )

i=l ,

Row constraint:

- 1 ^≤ — rfax'd-" — 1)

PL - 1 + fiber - (1- ", ', H) - p _{{ t} <RD _it +

_{^{Pi, t- · Μ. Max '}} (1- M ,. t) y (lM. R) = 0 TU. = Max {0, min [N r, (Γί / ™ η -Tu9). U. N] }

∑ u _it =0; m =max{0,min[N _r ,(r ? ^llin -ΓΖ) )·(1-«. _Q )] } '■ _t + TU, + 1, ..·, N _r

,

Min{N _r J+rZ)÷ ^mii -l}

+ ∑ y. <1 /i,t = TD.+l,...,N.

r=t+l

+ J ^≤1 u _it =0 t) Φ _ο

c. Contact line delivery / power receiving plan constraints:

Tietie _tiet = TieP _tiet ν(^, )εΦ where corpse/^ is the total load of the system's power generation calibre; ρ is the output of the unit during the time period, pi ¹¹¹¹¹ is tl, t I unit / minimum technical output (corresponding to the baseline cost)出_τ . The number of lines connecting the system to the external grid; lie

For the contact line ^ delivery/reception plan during the period; for the rotation reserve calculation period (such as 5 minutes rotation, 30 minutes rotation), ¹ ^ ¹¹ and /^^^ are the lower limit of the output and the upper limit of the output of the unit during the period; And for the unit to provide the upper and lower rotation reserve during the period, Ρ, for the system in the period of the spin up and down the standby demand; 717. for the minimum operating time of the unit, the calculation needs to be deducted according to the initial running time ;式71/ !^n

I I

Trading plan; Φ^ ^ is a time set for the planning contact line;

(2) After the completion of the optimization plan for the power generation plan, it is necessary to see whether it is necessary to abandon the wind. If it is necessary to abandon the wind, it will initially analyze the reasons for the impact of wind power consumption on the current power generation plan, and determine whether wind power optimization and auxiliary analysis is needed.

(3) If wind power optimization auxiliary analysis is needed, set wind power optimization auxiliary analysis parameters, the wind power optimization auxiliary analysis parameters include start-stop unit, maximum start-stop group number, adjustable peak unit, maximum peak-sharing unit number Quantity, adjustable fixed output unit and tie line, adjustable ratio of system backup, etc.;

(4) According to the wind power acceptance optimization auxiliary analysis parameters to construct a number of auxiliary analysis cases, mainly to improve the way of wind power consumption from the following aspects:

(a) For the start and stop peaking of the unit, mainly for small and medium-sized units, when constructing the auxiliary analysis case, the following constraints must be added to the wind power optimization auxiliary analysis optimization model:

«. 0,1}

i=l

Among them, Φ ^ is the set of units that are willing to participate in the start and stop peaking, and the amount of aof that is the start or stop of the unit, my and mz are the maximum allowable number of start and stop;

(b) For some large and medium-sized fire units to deep-tune peaks, the following constraints need to be added to the wind power optimization auxiliary analysis optimization model: p <p^*u -viop _u viopi _t < viopfi · viopli _t

< mviop where Φ . The unit that can undertake the task of deep peak shaving, which is the depth peak amplitude of the unit during the period, νιοα i,t

(c) For the fixed plan adjustment of the unit, in the case of difficult wind power consumption, the fixed plan of such units should be properly adjusted, and the additional cost of the grid payment deviating from the economic operation will help improve the ability of the grid to absorb wind power. The following constraints are added to the wind power optimization aided analysis optimization model:

Ρ _υ = Ρ _υ +

V(i,i) e Φ _ρ1αη n Φ „

(d) For optimizing the external tie line transmission and reception plan, the following constraints need to be added to the wind power optimization auxiliary analysis optimization model:

T ^ie P,ie,, = ^TieP i,t + ^Me ^Ptie , _t - ^A Ptie, _t

t) G

f» _

E^atiet-l t-l

(5) Using wind power optimization analysis and optimization model to optimize all auxiliary analysis cases, statistical analysis of the start and stop peaking of each unit, unit deep peak shaving, unit fixed plan adjustment, tie line plan adjustment, standby different proportion adjustment Next, the wind power consumption changes;

(6) Judging whether there is a feasible method for improving wind power consumption based on statistical analysis results, if any, then analyzing Determine the method for improving wind power consumption adopted in the optimization plan of the previous power generation plan, modify the preparation conditions for the previous power generation plan, and optimize the preparation of the new day-to-day power generation plan.

Practical application effect

The technical solution is applied in a network level power grid dispatching planning system, and the application effect is in line with expectations. The practical application shows that the invention can connect as much wind power as possible to the power grid under the premise of satisfying various constraints such as system balance constraints, unit operation constraints, grid safety constraints and environmental constraints; it can effectively improve the new energy Utilization, reducing power generation costs.

This method studies and attempts to optimize the auxiliary analysis method of power generation plan under the actual grid data, and explores the auxiliary analysis method for improving the grid to absorb wind power under the intermittent energy and conventional energy coordinated scheduling mode. Under the conditions of ensuring safe operation of the power grid, connect as much wind power as possible to the power grid to improve economic efficiency. At the same time, the method has the characteristics of low calculation intensity and strong adaptability, and is more suitable for popularization and application in the dispatching institutions with large wind power access power in China.

The above description is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can also make several improvements and retouchings without departing from the principles of the present invention. It should be considered as the scope of protection of the present invention.

Claims

WO 2014/110878 +T +», PCT/CN2013/075498 Claims

1. The auxiliary analysis method for the optimization of the dispatching plan in the wind-fire coordination mode, which is characterized by the following steps:

(1) Based on the physical model and economic model of the actual power grid, considering the system balance constraint, unit operation constraints, and grid security constraints, establish a wind power coordination scheduling power generation plan optimization model with the minimum system power generation cost as the target, the day-to-day power generation plan The optimization model is:

Objective function:

Where NT is the number of time periods included in the system scheduling period; I is the number of units participating in the scheduling in the system;

T s is the number of power generation costs of the unit; c is the power generation cost of the unit in the segment s, increasing in increments; I is the unit

l,t l,t,S

l,t

I i,t

S1 , ι i,t

Sign of state change; (^. is the cost of downtime for the unit; Constraints:

TIE

∑ Pi,t ⁺ ∑ ^tie Ptie,t= ^PD t (2) i=l tie=l

<RD.-u- earn

I 'it ⁺ Pi (6) (1— u _it ) = 0 TU _t =max{0,min[N ,( [/ ¹¹ -Γ[/ )·Μ· _Q ]} (7) ί=1 '

ΓΖ).

∑ u- _† =0; TD.=max{0,mm[N _T ,(TD^ ^mn -TD9)-(lu. _n )]} (8) t=i Claim

+ _? <1; Vi,t = r[/ _; +l,...,N _r (9)

t+ ∑ y _tt <\ V , t = r _; +l,...,N _r ( 10)

T=t+1 'tiep _tie ' _t = TieP _tie ' _t V(ie, e Φ _ΤΡΙαη ( 11 ) where corpse / ^ is the total load of the system power generation caliber; ρ is the output of the unit during the period, ρTM ¹¹ For tl, t I unit / minimum technical output; N is the number of lines of contact between the system and the external grid; tiep _f is the tie line ^ during the time period ί transmission / receiving plan; for the rotating standby calculation cycle, and p ^ ax unit The lower limit of the output during the period

Ip,ΐ ι,ΐ

And the upper limit of the output; and the upper and lower rotations that can be provided for the unit during the period, R is the standby demand for the system to rotate up and down during the time period; τυ. is the minimum continuous running time of the unit, which needs to be based on the initial

I

The operating time is deducted; where 7I/ ^min and Z) ^min are the minimum start-up and downtime of the unit, respectively. _W. _n is

I I ι,ΰ The initial state of the unit; ΤΤ/^ΒΓ^ is the time that the unit has been turned on and off at the initial time; 717.

ΓΖ respectively for the unit / in the initial stage of scheduling, to meet the minimum running time or outage time must continue to run and stop

I

Time; TieP _t . for the contact line ^ trading plan in the time period; 4 _P , a set of time for the planned contact line; tie.t IP lan

(5) According to the results of statistical analysis, it is judged whether there is a feasible method to improve wind power consumption. If it exists, it analyzes and determines the method of improving wind power consumption adopted by the optimization plan of the previous power generation plan, and modifies the optimization plan of the previous power generation plan. WO 2014/110878 _+T +», PCT/CN2013/075498

Claims

, optimize the preparation of a new day-to-day power generation plan.

2. The method for optimizing the auxiliary scheduling of the dispatching plan in the wind-fire coordination mode according to claim 1, wherein: the wind power receiving optimization analysis parameter in the step (3) comprises part or all of the following constraints:

(a) For the start and stop peaking of the unit, the following constraints are included in the construction of the auxiliary analysis case:

Yf^zf^ {0,1}

'. f

(b) For the deep peak adjustment of the unit, the following constraints are included in the construction of the auxiliary analysis case: p <p^*u -viop _u viopi _t < viopfi · viopli _t < mviop

Among them, Φ. The unit that can undertake the task of deep peak shaving, which is the depth peak amplitude of the unit during the period, νιοα i,t

(c) For the fixed plan adjustment of the unit, the following constraints are included in the construction of the auxiliary analysis case:

Pi,t = Pt + Pl - PU ^V (") ^en

(d) For optimizing the external tie-line transmission and reception plan, the following constraints are included in the construction of the auxiliary analysis case: WO 2014/110878 _+T +», PCT/CN2013/075498

Claims

Tie _tie , _t = TieP _it + Mep _et - Ap _{tie t} (tie, t) e _α&

(e) For optimizing system backup requirements, consider alternately adjustable, and when constructing the auxiliary analysis case, represent the system spin-off standby constraint as:

f» _

Among them, ³ is the down-spinning standby variable with the period reduced, which is the lower-rotation reserve with the largest down period.

3. The method for optimizing the auxiliary scheduling of the day-to-day scheduling plan according to the wind-fire coordination mode according to claim 1, wherein: the wind power optimization auxiliary analysis decision is at the cost of increasing additional cost, and comprehensively considering the power grid to improve wind power consumption. After various methods, after paying additional costs, the overall optimization goal when increasing wind power optimization analysis analysis decisions is expressed as:

T I T

NNN ₊

mnF. =F+ ∑ ∑ viq? -ψκ +∑ ∑ ( + . )·αρ.

ί Φ . t=l " i=\t=\ ', ', "

E^atiet-l t-l