CN108258685B - Control method of new energy power system in emergency control domain operation mode - Google Patents
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Abstract
The invention provides a control method of an emergency regulatory domain of a power system. In the system emergency control domain operation region, the combined output of the system units is in an unadjustable emergency neighborhood state, the gradual source abandon command is corrected in the operation process according to the scheduling plan, and the control strategy is determined according to the influence factors such as the energy price in the day ahead, so that the control technology is more reasonable. And when the system load is reduced to a certain degree, strategies of abandoning the core, abandoning the wind and abandoning the light are optimized, and reasonable control is realized.
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 an emergency regulation and control domain operation mode.
Background
According to the control strategy adopted in the existing power system, when the sum of the system load total and the electricity storage and heat storage capacity in the system is still smaller than the sum of the minimum output of water, electricity, fire and electricity in the system and the output of wind power, photovoltaic power and nuclear power, the output of wind, light and nuclear power is limited simply in a step function mode. Although the simple control method can realize the total active balance of the power grid at a specific time node, the system power and frequency oscillation and even the problem of large-scale voltage stabilization are easily caused when the uncertainty fluctuation of the new energy output occurs.
Aiming at the limit operation states of a multi-source energy storage device and a hydroelectric thermal power unit in a system when the load of a power grid is at the lowest valley, the invention aims to reduce the influence of uncertainty of output of new energy on power grid power balance, and carries out global dynamic control on wind power, photovoltaic power and nuclear power under the condition that the total load of the power grid is lower than the limit minimum output of the power grid, thereby effectively improving the new energy absorption capacity of the power grid and the operation stability under the limit condition.
The existing technical methods for solving the multi-source system harmonic problem in the load valley period of the power system are few and are not mature.
In the prior art, transient stability research during low-valley load of a east China power system (power grid technology 1996, 20 th volume, 10 th volume), an operation mechanism that transient stability margin of the system is reduced by determining the phase advance operation of a unit is determined, and a proper large generator is selected to perform phase advance operation in the system, so that the transient stability research is a feasible and effective means for relieving the higher voltage during the low-valley load of the system.
The prior art is the system stability control of an older electric power system valley period, and is dedicated to running through using a larger-scale generator to realize system stability, is not suitable for the valley consumption problem of a multi-source system, and is not suitable for the sensitive and complex control environment of the multi-source system.
In the second prior art, "analysis of peak shaving capability during the valley period of a wind power grid-connected system" (vol.38, No. 6 in the power grid technology 2014), a method for analyzing the system peak shaving capability during the valley period of the wind power grid-connected system is provided. The maximum target of the down-regulation space of the load valley period system is used, an integer programming model is established, the optimization model is solved, and finally the feasible starting and stopping operation scheme of the adjustable unit in each period is obtained, so that necessary reference is provided for the control technology of the power system in the valley period.
In the second prior art, a plurality of operation constraints of the unit under a date scheduling time scale and the unit response capability constraint under the extreme condition of peak-adjusting influence caused by wind power uncertainty are comprehensively considered, the solved model can adapt to a certain wind power fluctuation range, the actual control constraint of the unit is met, but the peak-adjusting cost of the unit and the substitution effect of wind power generation on primary energy are not considered, and the cost of wind power acceptance of the system is quantified.
Disclosure of Invention
The research targets of the invention are as follows:
in the operation region of the system emergency control region, the combined output of the system units is in an unadjustable emergency neighborhood state, the heat storage and the electricity storage are in a saturated stage, the gradual source abandon command is corrected in the operation process according to the scheduling plan, and the control strategy is determined according to the influence factors such as the energy price in the future, so that the control technology is more reasonable. And when the system load is reduced to a certain degree, strategies of discarding the kernel, discarding the wind and discarding the light are optimized, and reasonable control is realized.
In order to achieve the above object, the present invention provides a method for controlling an emergency regulatory domain of a power system.
The technical scheme of the invention is as follows:
t is 0s,1s,. ts, counted from the system entering the emergency domain until the system state exits the emergency domain.
Step 1: data acquisition
Step 1.1: collecting and quantifying, collecting the temperature of a nuclear power area, a wind power area and a photovoltaic area, collecting the occupied area Sy of a nuclear power unit, the occupied area Ry of the wind power unit, the occupied area Zy of the photovoltaic unit and the unit cost M of nuclear power generationSWind power generation unit cost MHPhotovoltaic power generation unit cost MPThe total power generation power S of the nuclear power generating unit, the total power generation power H of the wind power generating unit, the total power generation power Z of the photovoltaic generating unit and the rated total power P of the generating unit at the time of entering the emergency domainWAnd the load power P of the emergency domain starting point given by the dispatchjAnd the like.
Step 1.2: and (3) instantly acquiring variables, namely, discarding the active power Pt of the remaining unit on the line of the source at present and acquiring and scheduling the load change delta Pn tracked in the present time period given by the power grid frequency ft at the present moment.
And 2, step: and judging the priority of discarding the three power generation sources, namely, when the system load is reduced to the moment that the system enters an emergency domain, preferably discarding any power generation source.
Step 2.1: respectively defining nuclear power environment risk coefficients TSRWind power environment risk coefficient THRPhotoelectric environment risk coefficient TPRThe temperature of the generator set in each power generation source and the total occupied area of the generator set are related. The temperature processing technology for the unit is that if the number of the nuclear motor units is n, the acquired temperatures are respectively T1、T2.. Tn, the risk factor of nuclear power environment is
If the number of the wind power regional units is m, the acquired temperatures are respectively T1、T2.., Tm is the wind power environmental risk coefficient
If the number of photovoltaic region units is b, the collected temperatures are respectively T1、T2.. Tb, the photovoltaic environmental risk factor is
Step 2.2: the nuclear power priority coefficient alpha, the wind power priority coefficient beta and the photovoltaic priority coefficient delta are introduced, and the unit cost M of each environmental risk coefficient and each power generation sourceS、MH、MPAnd the total power generation power S, H, Z of each unit are determined, the priority coefficient results are discarded from large to small in sequence,
wherein nuclear power priority coefficient
Priority coefficient of wind power
Photovoltaic priority coefficient
And judging the sizes of alpha, beta and delta, and giving priority to the abandon source control to enter a abandon source unit represented by a larger coefficient to abandon in sequence as shown in figure 1.
And step 3: determining a control strategy
And the system enters an emergency domain running state, and at the moment, the selected power generation source is preferentially abandoned according to the result obtained by comparing the priority coefficients by the data discrimination module.
Defining a threshold judgment coefficient theta, wherein the threshold judgment coefficient theta is subject to the power grid frequency ft at the current moment and the load power P at the starting point of the emergency domainjRated power PWEtc. and the influence of the load change Δ Pn parameter tracked by the current time interval given by the schedule has
As shown in fig. 2, the magnitude of the current time θ is determined, if 0 < θ < 0.837, the magnitude of the value of the remaining unit active power Pt on the line of the current abandon source is compared with the magnitude of Δ Pn (1+ θ), and if Pt > Δ Pn (1+ θ), the active power of Δ Pn (1+ θ) is continuously abandoned in the current abandon source. If Pt is less than or equal to delta Pn (1+ theta), discarding the current generator set, and then beginning to discard the next generator, wherein the total power discarded twice is delta Pn (1+ theta).
If theta is more than or equal to 0.837 and less than 1, comparing the values of the residual unit active power Pt and the delta Pn (1-theta) on the line of the current abandon source, and if Pt is more than the delta Pn (1-theta), continuously abandoning the active power of the delta Pn (1-theta) in the current abandon source. If Pt is less than or equal to delta Pn (1-theta), discarding the current generator set, and then beginning to discard the next generator, wherein the total power discarded twice is delta Pn (1-theta).
When the emergency degree of the system exceeds the critical range and the three energy sources are abandoned according to the dispatching plan and the control strategy, the power grid can be used as an emergency to take further measures.
Advantageous effects
The invention provides a control method of an emergency regulation domain of a multisource multi-domain system aiming at the running state of a time period system of an emergency domain of an electric power system. According to the relevance of the threshold coefficient and the system operation state, a proper control strategy can be selected, the operation strategy given by scheduling can be timely and reasonably corrected by judging the state of the multi-source system equipment and considering the economic performance, the system operating in the emergency regulation and control domain state is stably controlled more strictly, the output of the unit is subjected to variable speed control, the damage to the operation stability of the unit is reduced as much as possible on the basis of reasonable energy distribution, the output of the unit is reasonably controlled on the basis of keeping stable operation under the condition that the system unit and a power grid are in the emergency regulation and control domain, and a better economic control strategy is optimized.
Drawings
FIG. 1 is a priority chart;
fig. 2 is a control strategy diagram.
Detailed Description
When a certain new energy power system runs to an emergency control domain time period, timing is started when the system enters an emergency domain, and t is 0s,1s,. 378s until the system state leaves the emergency domain.
Step 1: data acquisition
Step 1.1: collecting and quantifying, namely collecting the temperature of a nuclear power area, a wind power area and a photovoltaic area, wherein the occupied area Sy of a nuclear power unit is 13M2, the occupied area Ry of the wind power unit is 504M2, the occupied area Zy of the photovoltaic unit is 2.56 x 104M2 and the unit cost M of nuclear power generationS0.235, wind power generation unit cost MH0.45, photovoltaic power generation unit cost MP2.5, the total power generation power S of the nuclear power generating unit entering the emergency domain is 65 × 104kw, the total power generation power H of the wind power generating unit is 45 × 103kw, the total power generation power Z of the photovoltaic power generating unit is 9 × 103kw, the rated power PW of the unit is 654 × 103kw, and the load power Pj of the starting point of the emergency domain is 8 × 103 kw.
Step 1.2: and the total active power Pt of the rest units on the line of the abandoned source is 76 multiplied by 103kw, the power grid frequency ft at the current moment is 51.8Hz, and the load change delta Pn tracked in the current time period given by scheduling is 5000 kw.
And 2, step: and judging the priority of discarding the three power generation sources, namely, when the system load is reduced to the moment that the system enters an emergency domain, preferably discarding any power generation source.
Step 2.1: respectively defining nuclear power environment risk coefficients TSRWind power environment risk coefficient THRPhotoelectric environment risk coefficient TPRThe temperature of the generator set in each power generation source and the total occupied area of the generator set are related. Temperature management for a unitThe technology is that if the number of nuclear motor groups is n, the acquired temperature is 20.4 ℃, 21.6 ℃, 22.6 ℃ respectively, and then the nuclear power environment risk coefficient is
If the number of the units in the wind power region is m, the collected temperatures are respectively 18.6 ℃, 17.3 ℃ and 19.2 ℃, and then the wind power environmental risk coefficient is
If the number of photovoltaic area units is b, the collected temperatures are respectively 25.8 ℃, 26.3 ℃, 24.7 ℃, and the photovoltaic environmental risk coefficient is
Step 2.2: nuclear power priority coefficient alpha, wind power priority coefficient beta and photovoltaic priority coefficient delta are introduced, and each environmental risk coefficient and unit cost M of power generation sourceS、MH、MPAnd the total power generation power S, H, Z of each unit are determined, the priority coefficient results are discarded from large to small in sequence,
wherein nuclear power priority coefficient
Priority coefficient of wind power
Photovoltaic priority coefficient
Thus, in this example, the discard source sequence is: abandoning nuclear power, wind power and photoelectricity at last.
And step 3: determining a control strategy
And the system enters an emergency domain running state, and at the moment, the selected power generation source is preferentially abandoned according to the result obtained by comparing the priority coefficients by the data discrimination module.
Defining a threshold value judgment coefficient theta, wherein the threshold value judgment coefficient theta is required to be matched with the power grid frequency ft at the current moment and the load power P at the starting point of the emergency domainjRated power PWThe influence of load change delta Pn parameter tracked by current time interval given by scheduling can be obtained according to the data at the current time
In this example, 0 < θ < 0.837, according to the scheduling data, the values of the remaining unit active power Pt on the line of the current discard source and Δ Pn (1+ θ) are compared to obtain Pt > Δ Pn (1+ θ), and then Δ Pn (1+ θ) is continuously discarded as 8245kw of active power in the current discard source.
Claims (4)
1. A control method of a new energy power system in an emergency control domain operation mode is characterized by comprising the following steps:
starting to time when the system enters the emergency domain, and keeping t equal to 0s,1s,. ts until the system state leaves the emergency domain;
step 1: data acquisition
Step 1.1: collecting and quantifying, collecting the temperature of a nuclear power area, a wind power area and a photovoltaic area, collecting the occupied area Sy of a nuclear power unit, the occupied area Ry of the wind power unit, the occupied area Zy of the photovoltaic unit and the unit cost M of nuclear power generationSUnit cost MH of wind power generation and unit cost M of photovoltaic power generationPThe total power generation power S of the nuclear power generating unit, the total power generation power H of the wind power generating unit, the total power generation power Z of the photovoltaic generating unit and the rated power P of the generating unit at the time of entering the emergency domainWAnd tight of dispatch presentationLoad power P of starting point of urgent regionjAnd the like;
step 1.2: acquiring variables in real time, namely discarding active power Pt of the remaining units on the line of a source at present and acquiring and scheduling the load change delta Pn tracked in the present time period given by the frequency ft of the power grid at the present moment;
and 2, step: judging the priority of abandoning the three power generation sources, namely preferably abandoning which power generation source when the system load is reduced to the moment that the system enters an emergency domain;
judging the sizes of the alpha nuclear power priority coefficient, the beta wind power priority coefficient and the delta photovoltaic priority coefficient, and giving priority to the abandon source control to enter a abandon source unit represented by a larger coefficient for abandoning in sequence;
and 3, step 3: determining a control strategy
The system enters an emergency domain running state, and at the moment, the selected power generation source is preferentially abandoned according to the result obtained by comparing the priority coefficients by the data discrimination module;
defining a threshold decision coefficient theta, wherein the threshold decision coefficient theta is required to be matched with the current time power grid frequency ftLoad power P at the start of an emergency areajRated power PWThe influence of the load change delta Pn parameter tracked in the current time period given by scheduling;
judging the magnitude of theta at the current moment, if theta is more than 0 and less than 0.837, comparing the magnitude of the active power Pt of the remaining unit on the line of the current abandon source with the magnitude of a value of delta Pn (1+ theta), and if Pt is more than delta Pn (1+ theta), continuously abandoning the active power of delta Pn (1+ theta) in the current abandon source; if Pt is less than or equal to delta Pn (1+ theta), abandoning the current generator set, and then beginning to abandon the next generator, wherein the total power abandoned twice is delta Pn (1+ theta);
if theta is more than or equal to 0.837 and less than 1, comparing the active power P of the online residual unit of the current abandoned sourcetIf Pt is larger than the value of the delta Pn (1-theta), continuously abandoning the active power of the delta Pn (1-theta) in the current abandoning source; if Pt is less than or equal to delta Pn (1-theta), abandoning the current generator set, and then beginning to abandon the next generator, wherein the total power abandoned twice is delta Pn (1-theta);
when the emergency degree of the system exceeds a critical range and the three energy sources are abandoned according to the dispatching plan and the control strategy, the power grid can be used as an emergency to take further measures.
2. The method for controlling the new energy power system in the emergency regulatory domain operation mode according to claim 1, wherein the method for calculating the alpha nuclear power priority coefficient, the beta wind power priority coefficient and the delta photovoltaic priority coefficient in the step 2 comprises the following steps:
step 2.1: respectively defining a nuclear power environment risk coefficient TSR, a wind power environment risk coefficient THR and a photoelectric environment risk coefficient TPR, wherein the nuclear power environment risk coefficient TSR, the wind power environment risk coefficient THR and the photoelectric environment risk coefficient TPR are related to the temperature of units in each power generation source and the total occupied area of the units; the temperature processing technology for the unit is that if the number of the nuclear motor units is n, the acquired temperatures are respectively T1、T2.. Tn, the risk factor of nuclear power environment is
If the number of the wind power regional units is m, the acquired temperatures are respectively T1、T2.., Tm is the wind power environmental risk coefficient
If the number of photovoltaic region units is b, the collected temperatures are respectively T1、T2.., Tb, the photovoltaic environmental risk factor is
Step 2.2: the nuclear power priority coefficient alpha, the wind power priority coefficient beta and the photovoltaic priority coefficient delta are introduced, and the unit cost M of each environmental risk coefficient and each power generation sourceS、MH、MPAnd the total power generation power S, H, Z of each unit, and the result according to the priority coefficient is from large to largeThe small cells are discarded in sequence and then discarded,
wherein nuclear power priority coefficient
Priority coefficient of wind power
Coefficient of photovoltaic priority
3. The method for controlling the new energy power system in the emergency regulatory domain operation mode according to claim 1, wherein the values of α, β, and δ in step 2 determine the selection sequence of the abandoned sources, so that the control sequence of the system is more reasonable.
4. The method according to claim 1, wherein the threshold determination factor θ in step 3 is calculated by the following formula:
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014050275A (en) * | 2012-09-03 | 2014-03-17 | Toshiba Corp | Energy management system, energy management method, program, and server device |
| CN104467030A (en) * | 2014-12-03 | 2015-03-25 | 北京四方继保自动化股份有限公司 | Power distribution method based on wind power and thermal power combined power generation |
| CN105205552A (en) * | 2015-09-11 | 2015-12-30 | 东南大学 | Optimal planning method for independent new energy hybrid power generation system |
| CN107276127A (en) * | 2017-08-18 | 2017-10-20 | 西安交通大学 | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan |
| CN107453402A (en) * | 2017-09-21 | 2017-12-08 | 大连理工大学 | It is a kind of to reduce the Optimal Operation Model that integrated power station Operation of Electric Systems risk is stored up containing wind |
| CN107565607A (en) * | 2017-10-24 | 2018-01-09 | 华北电力大学（保定） | A kind of micro-capacitance sensor Multiple Time Scales energy dispatching method based on Spot Price mechanism |
-
2018
- 2018-01-26 CN CN201810076656.XA patent/CN108258685B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2014050275A (en) * | 2012-09-03 | 2014-03-17 | Toshiba Corp | Energy management system, energy management method, program, and server device |
| CN104467030A (en) * | 2014-12-03 | 2015-03-25 | 北京四方继保自动化股份有限公司 | Power distribution method based on wind power and thermal power combined power generation |
| CN105205552A (en) * | 2015-09-11 | 2015-12-30 | 东南大学 | Optimal planning method for independent new energy hybrid power generation system |
| CN107276127A (en) * | 2017-08-18 | 2017-10-20 | 西安交通大学 | Consider the wind electricity digestion optimization method of the multi-area Interconnected Power System of interconnection electricity transaction plan |
| CN107453402A (en) * | 2017-09-21 | 2017-12-08 | 大连理工大学 | It is a kind of to reduce the Optimal Operation Model that integrated power station Operation of Electric Systems risk is stored up containing wind |
| CN107565607A (en) * | 2017-10-24 | 2018-01-09 | 华北电力大学（保定） | A kind of micro-capacitance sensor Multiple Time Scales energy dispatching method based on Spot Price mechanism |
Non-Patent Citations (2)
| Title |
|---|
| 计及风险备用的大规模风储联合***广域协调调度;黄杨;《电力***自动化》;20140510;全文 * |
| 风电并网***低谷时段的调峰能力分析;杨冬锋;《电网技术》;20140605;全文 * |
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