CN105896616A - Thermal power generation unit real-time dispatching requirement determination method considering maximum new energy utilization - Google Patents

Abstract

The invention relates to a thermal power generation unit real-time dispatching requirement determination method considering maximum new energy utilization, and belongs to the technical field of operation and control of a new energy access power system. The method comprises the steps of starting data acquisition for one time at the current moment; calculating the real-time power generation requirement of the current power grid; calculating the output regulation requirement of the current automatic control unit obtained under different conditions in real time; calculating the regulation requirement of the current call wire power obtained under different conditions in real time; and finally obtaining the real-time dispatching requirement of the thermal power generation unit of the power system considering the maximum new energy utilization, and carrying out corresponding real-time dispatching on the thermal power generation unit of the power system under different conditions in real time. According to the method, the maximum new energy power generation utilization is taken as the target, so that the power system can arrange the thermal power generation unit output in advance according to the new energy power generation operating state and the power grid operating state in real time so as to fully develop the power grid regulation capacity and ensure that the power grid has enough regulation space to utilize the new energy.

Description

Consider that new forms of energy receive maximized fired power generating unit Real-Time Scheduling demand decision method

Technical field

The invention belongs to new forms of energy access the operation of power system and control technical field, consider that new forms of energy connect particularly to one Receive maximized power system fired power generating unit Real-Time Scheduling demand decision method.

Background technology

Wind, the strong randomness of light resources, predict that the features such as difficult, anti-peak regulation make electric network active scheduling controlling the most difficult. How on the premise of ensureing power grid security, at utmost utilizing generation of electricity by new energy resource, new forms of energy of dissolving as much as possible are sent out Electricity has become as one of common challenge that each place, generation of electricity by new energy base electrical network faces at present.At present, industry is to newly Active power scheduling controlling after energy generating accesses has carried out numerous studies, and obtains a series of research and application achievements.? In on-the-spot operation, the quick generation of electricity by new energy scheduling of minute level controls in real time, and to ensureing power grid security, minimizing is abandoned wind or abandons light Loss can play remarkable effect.

At present, quick generation of electricity by new energy scheduling controls the standby (backspin of the main real-time backspin according to automatic-generation-control unit in real time Standby characterize the spatial dimension lowered that unit active power is maximum) and electrical network between contact section active power actual Value and the real-time offsets of setting value, i.e. connection between the standby deficiency of the real-time backspin of electrical network automatic-generation-control unit and electrical network When network section active power actual value is excessive with the real-time offsets of setting value, starting new forms of energy and control in real time, minimizing is generated electricity by way of merging two or more grid systems New forms of energy electric power.This method only considered the second level regulating power of automatic-generation-control unit, regulates electrical network the most in advance In possess a minute fired power generating unit for level regulating power and exert oneself, the most do not make full use of electrical network regulating power, be not reaching to new energy Maximized new forms of energy priority scheduling demand is received in source, result in due to not enough to electrical network receivability generation of electricity by new energy capabilities That is brought abandons wind or abandons light, reduces the utilization rate of generation of electricity by new energy

Summary of the invention

In place of it is an object of the invention to overcome the deficiencies in the prior art, propose one and consider that new forms of energy receive maximized power train System fired power generating unit Real-Time Scheduling demand decision method, exerts oneself offer base for combining new forms of energy demand schedule ahead fired power generating unit of dissolving Plinth information.Fully to excavate electrical network regulating power, it is ensured that electrical network has enough regulation spaces to new forms of energy of dissolving.

The consideration new forms of energy that the present invention proposes receive maximized fired power generating unit Real-Time Scheduling demand decision method, and its feature exists In, the method comprises the following steps:

1) the data acquisition week considering that new forms of energy receive maximized power system fired power generating unit Real-Time Scheduling demand to judge is set Phase is T_g, wherein T_gManually exported in the way of parameter setting by operations staff, T_g=span be 1-10 minute；

2) at current time, starting a data acquisition, the data of collection include:

2.1) standby with the real-time backspin that supervisor control gathers electrical network automatic-generation-control unit from the data acquisition of electrical networkGather the active power actual value getting in touch with section between new forms of energy collection region and electrical networkGather current new forms of energy Power station gross capabilityGather currently with planning the meritorious summation of exerting oneself of unit

2.2) the network load predictive value of following 3-5 data acquisition collection period is obtained from Load Prediction In Power Systems system

2.3) the new forms of energy prediction from following 3-5 the data acquisition collection period of new forms of energy power prediction system acquisition is exerted oneself

2.4) each unit from following 3-5 the data acquisition collection period of power system unit generation schedule system acquisition is gained merit Plan summation

2.5) obtain interconnection from higher level power scheduling control centre to gain merit planned value

2.6) obtain artificial setup parameter, be rotated down standby deadband lower limit including automatic-generation-control unit Deadband upper limitAnd setting valueInterconnection real power control dead band

3) the real-time power generation needs of current electric grid is calculatedIt is made up of following three parts:

3.1) power system Real-time Load incrementComputing formula:

${\mathrm{\Δp}}_{cap}^{load}=p_{fur}^{load}-p_{curr}^{load}---\left(2\right)$

3.2) increment of exerting oneself of generation of electricity by new energyComputing formula:

${\mathrm{\Δp}}_{cap}^{ren}=p_{fur}^{ren}-p_{curr}^{ren}---\left(3\right)$

3.3) generating set planned value and the output deviation of actual valueComputing formula:

${\mathrm{\Δp}}_{cap}^{gen}=p_{sche}^{gen}-p_{curr}^{gen}---\left(4\right)$

ThenCan be obtained by following formula:

${\mathrm{\Δp}}_{cap}^{sys}={\mathrm{\Δp}}_{cap}^{load}-{\mathrm{\Δp}}_{cap}^{ren}-{\mathrm{\Δp}}_{cap}^{gen}---\left(5\right)$

4) regulatory demand of exerting oneself currently automatically controlling unit obtained under different situations is calculated in real timeAs follows:

4.1) ifShow currently to automatically control unit backspin standby too much, then raise and participate in Real-Time Scheduling Fired power generating unit exert oneself,

4.2) ifShow currently to automatically control unit backspin turn standby controlling dead error scope it In, it is not adjusted,

4.3) ifShow that currently automatically controlling unit backspin turns standby deficiency, then reduce and participate in adjusting in real time The fired power generating unit of degree is exerted oneself,

5) regulatory demand of the current dominant eigenvalues obtained under different situations is calculated in real timeAs follows:

5.1) ifShow that current Tie line Power is excessive, reduce the most in advance and participate in adjusting in real time The fired power generating unit of degree is exerted oneself,Wherein, λ is the interconnection out-of-limit correction parameter factor, Span is 0-1；

5.2) ifShow that Tie line Power is very few, raise the most in advance and participate in Real-Time Scheduling Fired power generating unit is exerted oneself,

5.3) ifShow current Tie line Power controlling dead error scope it In, it is not adjusted,

6) according to step 4), 5) obtain judging to consider the real-time tune that new forms of energy receive maximized power system fired power generating unit Degree demand

${\mathrm{\Δp}}_{cap}^{all}={\mathrm{\Δp}}_{cap}^{sys}+{\mathrm{\Δp}}_{cap}^{agc}+{\mathrm{\Δp}}_{cap}^{tie}---\left(6\right)$

In order to obtain according to different situations To power system fired power generating unit accordingly in substitution formula (6) In the case of carry out Real-Time Scheduling；

7) wait data collection cycle next time, return step 1).

The feature of the present invention and providing the benefit that:

This method combines power system load forecast and new forms of energy electric power is exerted oneself to predict the outcome and calculated power system generating need Ask, in conjunction with based on dispatching requirement and control parameter currently automatically control unit regulatory demand and dominant eigenvalues regulatory demand Obtain considering that new forms of energy receive maximized power system fired power generating unit Real-Time Scheduling demand.This demand disappears with generation of electricity by new energy Maximum of receiving turns to target, has taken into full account the regulatory demand of grid generation situation, Automatic Generation Control and interconnection.We Method can be integrated in control centre run generation of electricity by new energy active power controller main station system in, for combine new forms of energy dissolve need Schedule ahead fired power generating unit is asked to exert oneself offer Back ground Information.Enable this system in real time according to generation of electricity by new energy running status and Operation of power networks state, schedule ahead fired power generating unit is exerted oneself, and fully excavates electrical network regulating power, it is ensured that electrical network has enough tune Dissolve new forms of energy in joint space.

Detailed description of the invention

The consideration new forms of energy that the present invention proposes receive maximized power system fired power generating unit Real-Time Scheduling demand decision method, under Face is further described below in conjunction with specific embodiments.

The data acquisition that the present invention relates to and supervisor control (Supervisory Control And Data Acquisition, SCADA) based on cyber-net communicates, Real-Time Power System Operation States is monitored and controls.

The automatic-generation-control unit related in this method, refers to participate in electrical network the generating set of Automatic Generation Control.Automatically Generation Control (Automatic Generation Control, AGC) is that power system active power adjusts and FREQUENCY CONTROL One, AGC is one of main contents of dispatching automation of electric power systems, utilize side, control centre monitor computer, telemechanical The closed-loop control system of the composition such as passage, generating set automation device, monitors, adjusts the frequency of power system, to control Generator output.

The automatic-generation-control unit backspin related in this method is standby, is used for characterizing the lowered space that unit active power is maximum Scope.If the active power currency of unit i isActive power lower limit isThe then active power of unit i Backspin is standbyDefinition be:

The backspin of the Automatic Generation Control related in this method for dead band in order to reduce generating set controller for speed governing system Frequent movement, the primary frequency modulation of generating set controls the Regulation dead-band arranged in loop, when all automatic-generation-control unit The difference of current active power value summation and lower limit summation more than backspin for dead band time, representing electrical network has enough to downward Frequency modulation demand is tackled in joint space.

The active power controller dead band of the interconnection between the electrical network and the new energy power station that relate in this method, is to reduce electricity The frequent movement of net Active Power Controller and the interconnection active power dead band that arranges, when the actual active power value of interconnection When the absolute value of the bias of performance number meritorious with setting is in this dead zone range, represents network re-active power size and meet requirement, electricity Net Active Power Controller need not action.

The Load Prediction In Power Systems related in this method is the operation characteristic according to power system, increase-volume decision-making, natural conditions With many factors such as social influence, predicting the load data of certain particular moment following, wherein load refers to power demand (merit Rate) or power consumption；Load prediction is an important content in Economic Dispatch, is EMS (EMS) An important module.

The generation of electricity by new energy power prediction related in this method is the history data with new energy power station, topography and geomorphology, number The data such as value weather forecast, real-time running state set up the forecast model of new energy power station output, with wind speed, radiation by force Degree, power or numerical weather forecast data are as the input of model, in conjunction with equipment state and the operation work of generation of electricity by new energy equipment Condition, it was predicted that the active power that new energy power station is following.

The heat energy that the thermal power generation related in this method produces when generally referring to utilize the fuel combustions such as oil, coal and natural gas Add hot water, make water become high temperature, high-pressure steam, the general name of the mode generated electricity by steam pushing generator the most again. It is referred to as thermal power plant using coal, oil or natural gas as the power plant of fuel, due to the inherent characteristics of fired power generating unit, its regulation Response speed is in a minute level.

The consideration new forms of energy that the present invention proposes receive maximized fired power generating unit Real-Time Scheduling demand decision method embodiment, including Following steps:

1) the data acquisition week considering that new forms of energy receive maximized power system fired power generating unit Real-Time Scheduling demand to judge is set Phase is T_g, wherein T_gManually exported in the way of parameter setting by operations staff, T_g=span be 1-10 minute, Typical value is 5 minutes；

2) at current time, starting a data acquisition, the data of collection include:

2.1) standby with the real-time backspin that supervisor control gathers electrical network automatic-generation-control unit from the data acquisition of electrical networkGather the active power actual value getting in touch with section between new forms of energy collection region and electrical networkGather current new forms of energy Power station gross capabilityGather currently with planning the meritorious summation of exerting oneself of unit

2.2) (typical value is 3 to obtain following 3-5 data acquisition collection period from Load Prediction In Power Systems system Collection period) network load predictive value

2.3) (typical value is 3 and adopts to obtain following 3-5 data acquisition collection period from new forms of energy power prediction system The collection cycle) new forms of energy prediction exert oneself

2.4) (typical value is to obtain following 3-5 data acquisition collection period from power system unit generation schedule system 3 collection period) each unit meritorious plan summation

2.5) obtain interconnection from higher level power scheduling control centre to gain merit planned value

2.6) obtain artificial setup parameter, be rotated down standby deadband lower limit including automatic-generation-control unit Deadband upper limitAnd setting valueInterconnection real power control dead bandAbove-mentioned parameter is artificial by operations staff Specify, typical value (unit: MW):

$\left\{\begin{array}{c}{p}_{dn}^{agc,dh}=0.2\×p_{mva}^{agc}\\ p_{dn}^{agc,dl}=0.1\×p_{mva}^{agc}\\ p_{dead}^{tie}=50\end{array}\right.---\left(1\right)$

Wherein,Capacity summation for all input automatic-generation-control unit；

3) the real-time power generation needs of current electric grid is calculatedIt is made up of following three parts:

3.1) power system Real-time Load incrementComputing formula:

${\mathrm{\Δp}}_{cap}^{load}=p_{fur}^{load}-p_{curr}^{load}---\left(2\right)$

3.2) increment of exerting oneself of generation of electricity by new energyComputing formula:

${\mathrm{\Δp}}_{cap}^{ren}=p_{fur}^{ren}-p_{curr}^{ren}---\left(3\right)$

3.3) generating set planned value and the output deviation of actual valueComputing formula:

${\mathrm{\Δp}}_{cap}^{gen}=p_{sche}^{gen}-p_{curr}^{gen}---\left(4\right)$

ThenCan be obtained by following formula:

${\mathrm{\Δp}}_{cap}^{sys}={\mathrm{\Δp}}_{cap}^{load}-{\mathrm{\Δp}}_{cap}^{ren}-{\mathrm{\Δp}}_{cap}^{gen}---\left(5\right)$

4) regulatory demand of exerting oneself currently automatically controlling unit obtained under different situations is calculated in real timeAs follows:

4.1) ifShow currently to automatically control unit backspin standby too much, then raise and participate in Real-Time Scheduling Fired power generating unit exert oneself,

4.2) ifShow currently to automatically control unit backspin turn standby controlling dead error scope it In, it is not adjusted,

4.3) ifShow that currently automatically controlling unit backspin turns standby deficiency, then reduce and participate in adjusting in real time The fired power generating unit of degree is exerted oneself,

5) regulatory demand of the current dominant eigenvalues obtained under different situations is calculated in real timeAs follows:

5.1) ifShow that current Tie line Power is excessive, reduce the most in advance and participate in adjusting in real time The fired power generating unit of degree is exerted oneself,Wherein, λ is the interconnection out-of-limit correction parameter factor, Span is 0-1, by being manually specified, can value be typically 0.8；

5.2) ifShow that Tie line Power is very few, raise the most in advance and participate in Real-Time Scheduling Fired power generating unit is exerted oneself,

5.3) ifShow current Tie line Power controlling dead error scope it In, it is not adjusted,

6) according to step 4), 5) obtain judging to consider the real-time tune that new forms of energy receive maximized power system fired power generating unit Degree demand

${\mathrm{\Δp}}_{cap}^{all}={\mathrm{\Δp}}_{cap}^{sys}+{\mathrm{\Δp}}_{cap}^{agc}+{\mathrm{\Δp}}_{cap}^{tie}---\left(6\right)$

In order to obtain according to different situations To power system fired power generating unit accordingly in substitution formula (6) In the case of carry out Real-Time Scheduling；

(7) wait data collection cycle next time, return step 1).

Claims (1)

1. one kind considers that new forms of energy receive maximized fired power generating unit Real-Time Scheduling demand decision method, it is characterised in that should Method comprises the following steps:

1) the data acquisition week considering that new forms of energy receive maximized power system fired power generating unit Real-Time Scheduling demand to judge is set Phase is T_g, wherein T_gManually exported in the way of parameter setting by operations staff, T_g=span be 1-10 minute；

2) at current time, starting a data acquisition, the data of collection include:

2.1) standby with the real-time backspin that supervisor control gathers electrical network automatic-generation-control unit from the data acquisition of electrical networkGather the active power actual value getting in touch with section between new forms of energy collection region and electrical networkGather current new forms of energy Power station gross capabilityGather currently with planning the meritorious summation of exerting oneself of unit

2.2) the network load predictive value of following 3-5 data acquisition collection period is obtained from Load Prediction In Power Systems system

2.3) the new forms of energy prediction from following 3-5 the data acquisition collection period of new forms of energy power prediction system acquisition is exerted oneself

2.4) each unit from following 3-5 the data acquisition collection period of power system unit generation schedule system acquisition is gained merit Plan summation

2.5) obtain interconnection from higher level power scheduling control centre to gain merit planned value

2.6) obtain artificial setup parameter, be rotated down standby deadband lower limit including automatic-generation-control unit Deadband upper limitAnd setting valueInterconnection real power control dead band

3) the real-time power generation needs of current electric grid is calculatedIt is made up of following three parts:

3.1) power system Real-time Load incrementComputing formula:

${\mathrm{\Δp}}_{cap}^{load}=p_{fur}^{load}-p_{curr}^{load}---\left(2\right)$

3.2) increment of exerting oneself of generation of electricity by new energyComputing formula:

${\mathrm{\Δp}}_{cap}^{ren}=p_{fur}^{ren}-p_{curr}^{ren}---\left(3\right)$

3.3) generating set planned value and the output deviation of actual valueComputing formula:

${\mathrm{\Δp}}_{cap}^{gen}=p_{sche}^{gen}-p_{curr}^{gen}---\left(4\right)$

ThenCan be obtained by following formula:

${\mathrm{\Δp}}_{cap}^{sys}={\mathrm{\Δp}}_{cap}^{load}-{\mathrm{\Δp}}_{cap}^{ren}-{\mathrm{\Δp}}_{cap}^{gen}---\left(5\right)$

4) regulatory demand of exerting oneself currently automatically controlling unit obtained under different situations is calculated in real timeAs follows:

4.1) ifShow currently to automatically control unit backspin standby too much, then raise and participate in Real-Time Scheduling Fired power generating unit exert oneself,

4.2) ifShow currently to automatically control unit backspin turn standby controlling dead error scope it In, it is not adjusted,

4.3) ifShow that currently automatically controlling unit backspin turns standby deficiency, then reduce and participate in Real-Time Scheduling Fired power generating unit exert oneself,

5) regulatory demand of the current dominant eigenvalues obtained under different situations is calculated in real timeAs follows:

5.1) ifShow that current Tie line Power is excessive, reduce the most in advance and participate in adjusting in real time The fired power generating unit of degree is exerted oneself,Wherein, λ is the interconnection out-of-limit correction parameter factor, Span is 0-1；

5.2) ifShow that Tie line Power is very few, raise the most in advance and participate in Real-Time Scheduling Fired power generating unit is exerted oneself,

5.3) ifShow current Tie line Power controlling dead error scope it In, it is not adjusted,

6) according to step 4), 5) obtain judging to consider the real-time tune that new forms of energy receive maximized power system fired power generating unit Degree demand

${\mathrm{\Δp}}_{cap}^{all}={\mathrm{\Δp}}_{cap}^{sys}+{\mathrm{\Δp}}_{cap}^{agc}+{\mathrm{\Δp}}_{cap}^{tie}---\left(6\right)$

In order to obtain according to different situationsTo power system fired power generating unit in corresponding feelings in substitution formula (6) Real-Time Scheduling is carried out under condition；

7) wait data collection cycle next time, return step 1).