CN108258732B - Control method of new energy power system in normal regulation and control domain operation mode - Google Patents
Control method of new energy power system in normal regulation and control domain operation mode Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
Abstract
The invention belongs to the technical field of renewable energy power generation and new energy power grids, and particularly relates to a control method of a new energy power system in a normal regulation and control domain operation mode; aiming at the difference of the adjusting performance of the generating set and the characteristics of a daily load curve at each time interval, a control command is sent to the controllable generating set by starting control parameter calculation, a control strategy is started, and for short-time control, the hydroelectric generating set is adopted for adjustment, so that the active deviation of the system is reduced as much as possible in order to solve the problem of reverse delay of the hydroelectric generating set, and the real-time control of tracking load change is realized after correction parameters are introduced; for long-term control, in order to respond to load real-time power deviation, the output conditions of the hydroelectric generating set and the thermal power generating set are divided according to the change rate, the change rate is calculated, the hydroelectric generating set is respectively called to carry out frequency adjustment according to different conditions, the thermal power generating set is called to carry out frequency adjustment, and in order to solve the problem of reverse delay of the thermal power generating set, the active deviation of the system is reduced as much as possible to achieve the purpose of the invention.
Description
Technical Field
The invention belongs to the technical field of renewable energy power generation and new energy power grids, and particularly relates to a control method of a new energy power system in a normal regulation and control domain operation mode.
Background
With the rapid development of interconnected power networks in China, particularly the gradual construction of ultrahigh voltage power networks in China, the primary presentation of a pattern for optimizing and configuring power resources in the national range is realized, the cross-regional and cross-provincial power exchange quantity of the interconnection lines is continuously increased, the requirement on the power control of the interconnection lines is further improved, the safe and stable operation of the interconnected power networks is ensured, the frequency of the power networks is firstly controlled within a specified range, the peak-load and frequency-modulation pressure is gradually increased along with the increasingly complex operation of the power networks, and the operation modes of different types and different control target units are frequently switched. How to give consideration to the requirements of the power grid in various aspects of safety, economy, environmental protection, fairness and benefit according to different running states of the power grid, realize the optimized regulation and control of a unit control mode, and is the key for improving the power generation plan and the closed-loop control quality thereof and improving the lean level of power grid scheduling; in consideration of the actual condition of domestic dispatching operation, the factors such as the adjusting rate, the response time, the electric quantity completion progress and the like need to be comprehensively considered for the decision of the control mode, and by obtaining a reasonable decision result, the system is ensured to have the rapid adjusting capability meeting the operation requirement of the power grid, and the safety and the economical efficiency of the power grid operation are realized.
Aiming at the frequency and the power difference in a power grid, the conventional control method and algorithm mainly adopt PID (proportion integration differentiation) control or fuzzy algorithm and the like, and achieve the aim of maintaining the balance of the power and the frequency of the system by controlling the total output of the hydroelectric and thermal power generating unit within a specified time under the power increment (decrement) and frequency regulation targets specified by a dispatching system. However, when the fluctuation of the generated output force of the new energy in the system is uncertain, the traditional control algorithm is difficult to realize rapidly and accurately, and the power balance is realized by a small oscillation amplitude. According to the characteristic that when the power grid operates in a normal regulation and control domain, the total load demand is more than 50% of the maximum total output of all hydroelectric and hydroelectric generating units in the power grid, the total output regulation performance of all hydroelectric and hydroelectric generating units is optimized, and the influence of the uncertainty of the output of new energy on the power and frequency regulation process of the power grid is reduced.
The prior art is as follows: in the prior art, a scheme for establishing an optimization model to allocate a unit control mode is provided, and a mixed integer programming method, a genetic algorithm and a particle swarm algorithm are respectively adopted to solve. However, the above researches are all based on a power market scheduling mode, and do not consider the requirements of electric quantity contract completion progress and the like in the current domestic scheduling, and cannot be practically applied; the second prior art provides a good idea of utilizing ultra-short-term load prediction to realize advanced control, which can effectively solve the problem of reverse adjustment of the output of the unit to the adjustment requirement of the system, but does not further consider the coordination among the water-gas-electric units.
Disclosure of Invention
The research objectives of the present invention are: aiming at the difference of the adjusting performance of the generating set and the characteristics of a daily load curve at each time interval, a control strategy for controlling the generating set in a time interval mode is provided, namely, the adjusting capacity of a hydroelectric generating set of a system is fully utilized to track the load change when the load is changed emergently, a thermal power generating set is adopted to replace the power of a fast generating set by a slow generating set at the time interval of stable load, so that the system keeps certain quick adjusting capacity, and meanwhile, the useless reverse adjustment of the output of the generating set to the adjustment requirement of the system is reduced. Maintaining the frequency of the power system within an allowable fluctuation range;
in order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
step 1: initiating control parameter calculations
Substituting the measured parameters into a starting control parameter alpha for calculation, and sending a control command to the controllable unit to start a control strategy when the starting control parameter alpha is more than or equal to 0.72; performing long-term control or short-term control on the unit according to actual needs;
where t is a control period, and x is 0.2 for the large power system and 0.5 for the small power system
Aiming at the conditions of low short-term power prediction precision and large tidal current fluctuation, the frequency of a short-time control system is adopted, and the short-time control period delta t is 1 min;
aiming at the condition that the power deviation of a feeder line does not need to frequently zero in the assessment time by focusing on the long-term control effect, a long-term control strategy is adopted, and the control period delta T is 15 min;
step 2: and calculating short-time control parameters, tracking load change, reading unadjusted load power as original data, and adjusting the output of the hydroelectric generating set to control the system frequency in real time.
The power flow change rate of the power grid is high, the amplitude change is large, and the power flow change rate is a typical non-stationary strong random process. Short-term power prediction accuracy is not high, power flow fluctuation is large, and power deviation occurs between the power prediction accuracy and an original planned value, so that system frequency adjustment needs to be carried out in time; in response to the load real-time power deviation, assuming the control point at time i, the control system reads the unadjusted load power P within 1min before starting at ixAs original data, the control period delta t is 1min, the hydroelectric generating set has good adjusting performance and high response speed, and the control period can reach the second level; the thermal power unit has poor regulation performance and slow response speed, the control period is in the minute level, the same instruction is given, and the thermal power unit may start to execute or not execute after the hydroelectric power unit is regulated, so that the hydroelectric power unit is selected to quickly respond to the load instruction in the short-time power control to track the load change. According to the power change of the load in the control period as delta P,
so that the rate of change of the load power per unit time is
In order to solve the problem of reverse delay of the hydroelectric generating set, active deviation of a system, namely a control error of a control area, is reduced as much as possible, so that a correction parameter lambda:
wherein t is the examination period, m is the number of minutes in one examination period, PiTaking n data (i is 0,1,2, n) and delta P according to actual conditions for load power deviation in an assessment periodyhYesterday maximum power deviation;
and in a short-time control period delta t, the active power delta P' generated by the hydroelectric generating set is multiplied by v multiplied by delta t multiplied by lambda, and the real-time control of tracking load change is carried out.
And 3, step 3: and (4) calculating long-term control parameters, and adjusting the output of thermal power and hydroelectric generating sets according to the change rate of the load power in unit time to respond to the load real-time power deviation so that the system frequency deviation is not greater than a specified value. The strategy focuses on the long-term control effect, does not require the load power deviation to frequently pass zero in the examination time, only requires the system frequency deviation not to be larger than a specified value, responds to the load real-time power deviation, and assumes that at a control point at the moment j, the control system reads unadjusted load power P within 15min before the moment j is taken as a starting pointyAs raw data, the control period Δ T is 15min, and the power change in the control period according to the load becomes Δ P, so the rate of change of the load power per unit time is
3.1 Rate of change γ calculation
Dividing the output conditions of the hydroelectric generating set and the thermal generating set by using a change rate gamma, and calculating the change rate gamma:
wherein p isjIs the actual value of the load power at time j, pj0N is the number of samples according to actual needs, C is the distribution network distribution transformation capacity, delta PyhIs the maximum power deviation, Δ P, of yesterdayylThe minimum power deviation of yesterday, and delta f is the system frequency deviation within 30s from the moment j;
3.2 correction parameters χ calculation
In order to solve the problem of reverse delay of the thermal power generating unit, the active power deviation of the system, namely the control error of a control area, is reduced as much as possible, so a correction parameter chi is introduced,
y is the number of sampling points in Δ T (x is 0,1, 2.), pjIs the actual value of the load power at time j, pj0For the power plan value, P, at the respective momentmaxFor sampling load power PyMaximum value of (1), PminFor sampling load power PyMinimum value of (1);
when V is larger than or equal to gamma, the hydroelectric generating set is called to adjust the frequency, and the active power P generated by the hydroelectric generating set is adjusted within a long control period delta Tw＝V×ΔT×λ；
When V is less than gamma, the thermal power generating unit is called to adjust the frequency, and the active power P generated by the thermal power generating unit is adjusted within a long control period delta Tf＝V×ΔT×χ；
And the long-term control strategy is used for respectively scheduling corresponding power (a hydroelectric generating set and a thermal generating set) according to actual conditions to stabilize the fluctuation of the load power, reducing the load power prediction deviation with less adjustment cost and maintaining the frequency of the power system within an allowable fluctuation range.
Advantageous effects
The invention provides a control method of a new energy power system in a normal regulation and control domain operation mode aiming at the change rule of system load in different time periods, so that the method not only can keep the quick regulation capability of the system, but also can fully realize the coordination among units, prevent the useless reverse regulation, maintain the frequency of the power system in the allowable fluctuation range, ensure the power system to operate more safely and stably, reduce the power generation cost, better meet the requirement of fine management of the power system, and have huge reality and economy.
Drawings
FIG. 1 is a flow chart of normal control domain control of an electric power system
Detailed Description
The following is a detailed description of specific embodiments of the invention.
Taking the actual power network of a certain province in the north of China as an example for analysis:
6182.48MW is installed at present, wherein the hydropower station is 1130.74MW, the thermal power is 5045MW, the maximum adjusting capacity of the hydroelectric generating set is 410MW, the maximum adjusting capacity of the thermal power generating set is 85MW, the assessment bandwidth is 23MW, the average adjusting rate per minute of the 100MW hydroelectric generating set can reach 11MW, and the average adjusting rate per minute of the 300MW hydroelectric generating set is 5 MW;
step 1: initiating control parameter calculations
Taking x as 0.2, and starting a control parameter alpha as 0.83 or more than or equal to 0.72 in a selected control period, so that a control command is sent to the controllable unit and a control strategy is started;
aiming at the conditions of low short-term power prediction precision and large tidal current fluctuation, the frequency of a short-time control system is adopted, and the short-time control period delta t is 1 min;
aiming at the condition that the power deviation of a feeder line does not need to frequently zero in the assessment time by focusing on the long-term control effect, a long-term control strategy is adopted, and the control period delta T is 15 min;
step 2: short-time control parameter calculation
Wherein the assessment period t is 3min, m is the number of minutes m is 3 in one assessment period, PiThe load power deviation in an assessment period is obtained according to the actual conditionn data (i ═ 0,1,2.., n), Δ PyhSubstituting specific data for the maximum power deviation of yesterday to calculate that lambda is 1.21;
in a short-time control period delta t, the active power delta P' which should be generated by the hydroelectric generating set is 3.55 MW.
And step 3: long term control parameter calculation
Taking Delta T as 15min, substituting into a calculation to obtain the output condition of the hydroelectric generating set and the thermal generating set, and dividing the output condition into a solution of the reverse delay of the thermal generating set according to the change rate Gamma as 3.57, and reducing the active deviation of the system as much as possible, namely the control error of a control area, so that a correction parameter chi is introduced:
v is less than gamma, the long-time control period delta T is within 15min, and the active power P emitted by the thermal power generating unitf＝V×ΔT×χ＝10.05MW；
Therefore, the thermal power generating unit is scheduled to stabilize the fluctuation of the load power according to the actual situation, frequency adjustment is carried out, the load power prediction deviation is reduced with less adjustment cost, and the frequency of the power system is maintained within the allowable fluctuation range.
Claims (1)
1. The control method of the new energy power system in the normal control domain operation mode is characterized by comprising the following steps of 1: starting control parameter calculation, when the starting control parameter alpha is more than or equal to 0.72, sending a control command to the controllable unit, and starting a control strategy;
wherein t is a control period, and x of the large power system is 0.2, and x of the small power system is 0.5; step 2, calculating short-time control parameters; step 3, calculating long-term control parameters; 3.1 calculating the change rate gamma; 3.2 calculating a correction parameter x;
step 2, calculating control parameters in short time, wherein the power flow change rate of the power grid is high and the amplitude change is large, and the method is a typical methodThe non-stationary strong random process of the method has low short-term power prediction precision and large tidal current fluctuation, and generates power deviation with an original planned value, so that the system frequency is required to be adjusted in time; in response to the load real-time power deviation, assuming the control point at time i, the control system reads the unadjusted load power P within 1min before starting at time ixAs original data, the control period delta t is 1min, the adjustment performance of the hydroelectric generating set is good, the response speed is high, and the control period can reach the second level; the thermal power generating unit has poor regulation performance and slow response speed, the control period is in the minute level, the same instruction is given, and the thermal power generating unit may start to execute or not execute after the hydroelectric generating unit is regulated, so that the hydroelectric generating unit is selected to quickly respond to the load instruction in the short-time power control to track the load change. According to the power change of the load in the control period, the change rate of the load power in unit time is
In order to solve the problem of reverse delay of the hydroelectric generating set, the active deviation of the system, namely the control error of a control area, is reduced as much as possible, and a correction parameter lambda is introduced:
wherein t is the examination period, m is the number of minutes in one examination period, PiTaking n data (i is 0,1,2, n) and delta P according to actual conditions for load power deviation in an assessment periodyhYesterday maximum power deviation;
in a short-time control period delta t, real-time control for tracking load change is carried out on active power delta P' generated by the hydroelectric generating set;
step 3, calculating long-term control parameters, wherein the strategy does not require that the load power deviation frequently passes zero in the assessment time, only requires that the system frequency deviation is not more than a specified value, responds to the load real-time power deviation, and assumes that a control point at the moment j reads unadjusted load power P within 15min before the moment j is taken as a starting pointyAs raw data, the control period Δ T is 15min, and the power change in the control period according to the load becomes Δ P, so the rate of change of the load power per unit time is
3.1, calculating a change rate gamma, dividing the output conditions of the hydroelectric generating set and the thermal generating set by the change rate gamma, and calculating the change rate gamma:
wherein p isjIs the actual value of the load power at time j, pj0N is the number of samples according to actual needs, C is the distribution network distribution transformation capacity, delta PyhIs the maximum power deviation, Δ P, of yesterdayylThe minimum power deviation of yesterday, and delta f is the system frequency deviation within 30s from the moment j;
3.2, calculating a correction parameter x, and in order to solve the problem of reverse delay of the thermal power generating unit, reducing the active deviation of a system, namely the control error of a control area as much as possible, so that the correction parameter x is introduced;
y is the number of sampling points (x is 0,1, 2.) in Δ T, pjIs the actual value of the load power at time j, pj0For the power plan value at the corresponding moment, PmaxFor sampling load power PyMaximum value of (1), PminFor sampling load power PyMinimum value of (1);
when V is larger than or equal to gamma, the hydroelectric generating set is called to adjust the frequency, and the active power P generated by the hydroelectric generating set is adjusted within a long control period delta Tw＝V×ΔT×λ；
When V is<And when gamma is reached, the thermal power generating unit is called to adjust the frequency, and the active power generated by the thermal power generating unit is adjusted within a long control period delta TRate Pf＝V×ΔT×χ。
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002186181A (en) * | 2000-12-12 | 2002-06-28 | Tokyo Gas Co Ltd | System and method for power supply |
| JP2013070584A (en) * | 2011-09-26 | 2013-04-18 | Mitsubishi Electric Corp | Power demand controller |
| CN103490449A (en) * | 2013-10-10 | 2014-01-01 | 华北电力大学 | Method for optimizing operation simulation of multi-energy combined power generation system |
| CN104124707A (en) * | 2014-07-23 | 2014-10-29 | 北京四方继保自动化股份有限公司 | Hydropower station power quick adjustment system and implementation method based on intensive small hydropower station groups |
| CN104362673A (en) * | 2014-10-29 | 2015-02-18 | 国网甘肃省电力公司 | Wind power integration coordinated dispatching optimization method based on peak regulation margin |
| CN106549422A (en) * | 2016-12-07 | 2017-03-29 | 中国南方电网有限责任公司 | A kind of AGC emergency control methods and system based on frequency change rate |
| EP3271988A1 (en) * | 2015-03-20 | 2018-01-24 | Kongsberg Maritime AS | Dynamic hybrid control |
-
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- 2018-01-26 CN CN201810076602.3A patent/CN108258732B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002186181A (en) * | 2000-12-12 | 2002-06-28 | Tokyo Gas Co Ltd | System and method for power supply |
| JP2013070584A (en) * | 2011-09-26 | 2013-04-18 | Mitsubishi Electric Corp | Power demand controller |
| CN103490449A (en) * | 2013-10-10 | 2014-01-01 | 华北电力大学 | Method for optimizing operation simulation of multi-energy combined power generation system |
| CN104124707A (en) * | 2014-07-23 | 2014-10-29 | 北京四方继保自动化股份有限公司 | Hydropower station power quick adjustment system and implementation method based on intensive small hydropower station groups |
| CN104362673A (en) * | 2014-10-29 | 2015-02-18 | 国网甘肃省电力公司 | Wind power integration coordinated dispatching optimization method based on peak regulation margin |
| EP3271988A1 (en) * | 2015-03-20 | 2018-01-24 | Kongsberg Maritime AS | Dynamic hybrid control |
| CN106549422A (en) * | 2016-12-07 | 2017-03-29 | 中国南方电网有限责任公司 | A kind of AGC emergency control methods and system based on frequency change rate |
Non-Patent Citations (1)
| Title |
|---|
| 计及电网调峰约束的风电接纳调度方法研究;张涛，李家珏;《电力系统保护及控制》;20141101;第42卷(第21期);74-80 * |
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