CN114447990A - Real-time scheduling method for promoting clean energy consumption of power grid - Google Patents
Real-time scheduling method for promoting clean energy consumption of power grid Download PDFInfo
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- H—ELECTRICITY
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
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Abstract
The invention provides a real-time scheduling method for promoting clean energy consumption of a power grid, which comprises the following steps of: s1: acquiring data of a generator set of a power grid; s2: acquiring real-time output values of all generator sets of the power grid from the data; s3: optimizing a clean energy power generation adjustment strategy, and judging whether the clean energy can be fully consumed by the power grid after the clean energy power generation adjustment strategy is optimized; s4: adjusting the operation mode of the power grid; s5: reading ultra-short-term loads of all places from a historical load database of the power system, and acquiring real-time power generation plan deviation amount; s6: and respectively calculating the network regulation deviation values of all the regions, and averagely distributing the network regulation deviation values to all the generator sets. The real-time scheduling method for promoting the consumption of clean energy of the power grid has the advantages of strong pertinence, flexibility and high efficiency.
Description
Technical Field
The invention relates to a real-time scheduling method for promoting clean energy consumption of a power grid, and belongs to the technical field of power grids.
Background
Clean energy, i.e., green energy, refers to energy that can be directly used for production and living without emitting pollutants, and includes nuclear energy and "renewable energy". The national uniform power market is constructed, and the national optimal allocation of clean energy such as water and electricity is promoted.
At present, the domestic delivery demand of clean energy of a power grid cannot be fully met, and the essence of the problem of consumption of clean energy is structural and stage mismatch of power grid and power supply construction, and the key point is that the delivery demand of electric power exceeds the safety and stability limit of a power grid channel; the contradiction of clean energy consumption can be relieved to a certain extent by optimizing the scheduling, but at present, no practical power grid real-time scheduling method specially aiming at the clean energy consumption business exists.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art, and provide a real-time scheduling method for promoting the clean energy consumption of a power grid.
In order to achieve the aim, the invention provides a real-time scheduling method for promoting the consumption of clean energy of a power grid, which comprises the following steps:
step S1: acquiring data of a generator set of a power grid;
step S2: acquiring real-time output values of all generator sets of the power grid from data of the generator sets of the power grid;
step S3: optimizing a clean energy power generation adjustment strategy, and judging whether the clean energy can be fully consumed by the power grid after the clean energy power generation adjustment strategy is optimized;
step S4: adjusting the operation mode of the power grid;
step S5: reading ultra-short-term loads of all places from a historical load database of the power system, and acquiring real-time power generation plan deviation amount;
step S6: and calculating the network regulation deviation values of all the regions based on the real-time power generation plan deviation value, and averagely distributing the network regulation deviation values to all the generator sets.
Preferably, in step S1, the data of the generator set of the power grid includes: scheduling a regional power grid, directly adjusting the current actual output of a unit, scheduling the current actual output of the unit in each place, generating planned output of the unit in a day and unit parameters, wherein the unit parameters comprise unit models; the daily load prediction data includes daily circuit demand and daily electricity consumption.
Preferably, the actual output of each local dispatching unit at the current moment is uploaded in a file format at regular time.
Preferably, in step S3, the optimizing the clean energy generation adjustment strategy includes:
s301: aiming at the problem of limited clean energy output, power supply-section sensitivity analysis is carried out;
s302: according to the result of power supply-section sensitivity analysis, a clean energy power generation adjustment strategy is drawn up on the basis of the principle of minimizing wind abandoning, water abandoning and light abandoning of clean energy;
s303: performing simulated power generation adjustment and safety index analysis and check according to the clean energy power generation adjustment strategy set in the step S302;
s304: checking the rationality of the clean energy power generation adjustment strategy formulated in the step S302;
s305: and optimizing the clean energy power generation adjustment strategy according to the checking result in the step S303 and the professional opinions in the step S304 to obtain a final power generation adjustment scheme.
Preferably, the clean energy power generation adjustment strategy in step S302 includes the following steps:
sequencing the power supplies according to the risk of abandoning water, wind or light in real time, and sequentially increasing the power generation of the power supplies from high to low according to the risk until the power is fully generated;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, sequencing the sensitivity of the heavy-load delivery section from low to high according to the power supply, and sequentially increasing the power generation of the power supply according to the sequence of the sensitivity from low to high until full delivery;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, and the sensitivities of the power supply to the heavy-load carrying-out section are equal, the power generation shortage is averagely distributed to each power supply;
if the power supply has no risk of abandoning water, wind or light in real time, the power supply is sequenced according to the sensitivity of the heavy-load carrying and discharging section, and the power supply is reduced from high to low until the power supply stops generating according to the sequence of the sensitivity.
Preferably, the adjusting the grid operation mode in S4 includes the following steps:
s401: aiming at the problem of limited clean energy output, carrying out power supply-section sensitivity analysis and load-section sensitivity analysis;
s402: according to the sensitivity analysis result of the step S401, a power grid operation mode adjustment scheme is drawn up with the purposes of improving the stability margin of the section sent by clean energy and reducing the section flow;
s403: simulating and adjusting the power grid operation mode and increasing the clean energy output according to the power grid operation mode adjustment scheme drawn up in the step S402, and analyzing and checking safety indexes;
s404: checking the safety and the rationality of the power grid operation mode adjustment scheme proposed in the step S402;
s405: and optimizing and determining a final power grid operation mode and a final clean energy output adjustment scheme according to the checking result of the step 403 and the professional opinion of the step S404.
Preferentially, before the clean energy power generation adjustment strategy is optimized in S3, the phenomena of heavy load of the clean energy delivery section and limited output of the clean energy need to be studied and the delivery potential of the power transmission channel needs to be excavated.
Preferably, the excavating the transmission channel sending potential comprises:
carrying out on-line analysis on the power limit of the clean energy delivery section;
determining real-time control quota of a clean energy output section, extracting daily load prediction data, performing on-line analysis on future dynamic power flow, and evaluating the applicable time period of the real-time control quota;
checking and confirming real-time control limit and boundary conditions of the clean energy output section;
setting a real-time monitoring interface of the clean energy output section, and monitoring;
and according to the result of the power supply-section sensitivity analysis, a power generation scheduling scheme for maximizing the output of the clean energy is formulated, wherein the power generation scheduling scheme comprises the steps of determining the power limit of the clean energy output section, determining the real-time control limit and the boundary condition of the clean energy output section, determining the applicable time period of the real-time control limit and setting a real-time monitoring interface of the clean energy output section.
Preferentially, the power generation adjustment scheme comprises clean energy sending out limited data, power generation adjustment data and safety index data, the clean energy sending out limited data comprises peak-shaving limited electric quantity data, the power generation adjustment data comprises operation condition data of all parts of the generator set and performance parameters of all parts of the generator set, and the safety index data comprises voltage stability index data, power angle stability index data and section power transmission limit data.
Preferably, the power grid operation mode adjustment scheme comprises sending out section stability margin data and section flow data;
the clean energy output adjustment scheme comprises power-section sensitivity data, load-section sensitivity data, sent section stability margin data, section tide data and safety index data.
The invention achieves the following beneficial effects:
the invention provides a real-time scheduling method for promoting the consumption of clean energy of a power grid, which is characterized in that an active real-time scheduling model is established on the basis of ultra-short-term load information, joint optimization scheduling is carried out on a generator set, the pertinence and the practicability are strong, and the blank of special services for the consumption scheduling of the clean energy of the power grid is filled; the wind power generation system is suitable for the conditions of different power grid characteristics and different consumption requirements, can be independently applied, can also be combined and applied through an integrated process, has the advantages of flexibility and high efficiency, can reduce the running risk of the power grid, improves the consumption capacity of the power grid to wind power to the maximum extent, and improves the running economy.
Detailed Description
The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
A real-time scheduling method for promoting clean energy consumption of a power grid comprises the following steps:
step S1: acquiring data of a generator set of a power grid;
step S2: acquiring real-time output values of all generator sets of the power grid from data of the generator sets of the power grid;
step S3: optimizing a clean energy power generation adjustment strategy, and judging whether the clean energy can be fully consumed by the power grid after the clean energy power generation adjustment strategy is optimized;
step S4: adjusting the operation mode of the power grid;
step S5: reading ultra-short-term loads of all places from a historical load database of the power system, and acquiring real-time power generation plan deviation amount;
step S6: and calculating the network dispatching deviation values of each region based on the real-time power generation plan deviation value, and averagely distributing the network dispatching deviation values to each generator set.
Further, in step S1, the data of the generator set of the power grid includes: the method comprises the steps of regional power grid dispatching, current-time actual output of a direct-regulating unit, current-time actual output of local dispatching units, unit daily generation planned output and unit parameters, wherein the unit parameters comprise unit models.
Further, the actual output of each local dispatching unit at the current moment is uploaded in a file format at regular time.
Further, in step S3, the optimizing the clean energy generation adjustment strategy includes:
s301: aiming at the problem of limited clean energy output, performing power supply-section sensitivity analysis;
s302: according to the result of power supply-section sensitivity analysis, a clean energy power generation adjustment strategy is drawn up on the basis of the principle of minimizing wind abandoning, water abandoning and light abandoning of clean energy;
s303: performing simulated power generation adjustment and safety index analysis and check according to the clean energy power generation adjustment strategy formulated in the step S302;
s304: checking the rationality of the clean energy power generation adjustment strategy formulated in the step S302;
s305: and optimizing the clean energy power generation adjustment strategy according to the checking result in the step S303 and the professional opinions in the step S304 to obtain a final power generation adjustment scheme.
Further, the clean energy power generation adjustment strategy in step S302 includes the following steps:
sequencing the power supplies according to the risk of abandoning water, wind or light in real time, and sequentially increasing the power generation of the power supplies from high to low according to the risk until the power is fully generated;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, sequencing the sensitivity of the heavy-load delivery section from low to high according to the power supply, and sequentially increasing the power generation of the power supply according to the sequence of the sensitivity from low to high until full delivery;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, and the sensitivities of the power supply to the heavy-load carrying-out section are equal, the power generation shortage is averagely distributed to each power supply;
if the power supply has no risk of abandoning water, wind or light in real time, the power supply is sequenced according to the sensitivity of the heavy-load carrying and discharging section, and the power supply is reduced from high to low until the power supply stops generating according to the sequence of the sensitivity.
Further, the adjusting the grid operation mode in S4 includes the following steps:
s401: aiming at the problem of limited clean energy output, carrying out power supply-section sensitivity analysis and load-section sensitivity analysis;
s402: according to the sensitivity analysis result of the step S401, a power grid operation mode adjustment scheme is drawn up with the purposes of improving the stability margin of the section sent by clean energy and reducing the section flow;
s403: simulating and adjusting the power grid operation mode and increasing the clean energy output according to the power grid operation mode adjustment scheme drawn up in the step S402, and analyzing and checking safety indexes;
s404: checking the safety and the reasonability of the power grid operation mode adjusting scheme set in the step S402;
s405: and optimizing and determining a final power grid operation mode and a final clean energy output adjustment scheme according to the checking result of the step 403 and the professional opinion of the step S404.
Further, before optimizing the clean energy power generation adjustment strategy in S3, it is necessary to study the phenomena of heavy load of the clean energy delivery section and limited output of the clean energy and to excavate the delivery potential of the power transmission channel.
Further, the excavating the transmission channel sending potential comprises:
carrying out on-line analysis on the power limit of the clean energy delivery section;
determining real-time control quota of a clean energy output section, extracting daily load prediction data, performing on-line analysis on future dynamic power flow, and evaluating the applicable time period of the real-time control quota;
checking and confirming real-time control limit and boundary conditions of the clean energy output section;
setting a real-time monitoring interface of the clean energy delivery section, and monitoring;
according to the result of the power supply-section sensitivity analysis, a power generation scheduling scheme with the maximum clean energy output is formulated, wherein the power generation scheduling scheme comprises the steps of determining the power limit of a clean energy output section, determining the real-time control limit and the boundary condition of the clean energy output section, determining the applicable time period of the real-time control limit and setting a real-time monitoring interface of the clean energy output section; the daily load prediction data includes daily circuit demand and daily electricity consumption.
Further, the power generation adjustment scheme comprises clean energy sending out limited data, power generation adjustment data and safety index data, the clean energy sending out limited data comprises peak-shaving limited electric quantity data, the power generation adjustment data comprises operation condition data of all parts of the generator set and performance parameters of all parts of the generator set, and the safety index data comprises voltage stability index data, power angle stability index data and section power transmission limit data.
Further, the power grid operation mode adjustment scheme comprises the steps of sending out section stability margin data and section flow data;
the clean energy output adjustment scheme comprises power-section sensitivity data, load-section sensitivity data, sent section stability margin data, section tide data and safety index data. Compared with the prior art, the real-time scheduling method for promoting the consumption of clean energy of the power grid has the following beneficial effects: on the basis of ultra-short-term load information, an active real-time scheduling model is established, joint optimization scheduling is carried out on the generator set, the pertinence and the practicability are strong, and the blank of special services for consuming and scheduling clean energy of a power grid is filled; the wind power generation system is suitable for the conditions of different power grid characteristics and different consumption requirements, can be independently applied, can also be combined and applied through an integrated process, has the advantages of flexibility and high efficiency, can reduce the running risk of the power grid, improves the consumption capacity of the power grid to wind power to the maximum extent, and improves the running economy.
The historical load database of the power system can be directly called in the prior art without creative labor.
For sending the data of the section stability margin, please refer to patent document CN109473996A, and for the data of the section flow, please refer to patent documents CN102255321B, CN102255321A and CN107394785B, which are not given as examples.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A real-time scheduling method for promoting clean energy consumption of a power grid is characterized by comprising the following steps:
step S1: acquiring data of a generator set of a power grid;
step S2: acquiring real-time output values of all generator sets of the power grid from data of the generator sets of the power grid;
step S3: optimizing a clean energy power generation adjustment strategy, and judging whether the clean energy can be fully consumed by the power grid after the clean energy power generation adjustment strategy is optimized;
step S4: adjusting the operation mode of the power grid;
step S5: reading ultra-short-term loads of all places from a historical load database of a power system, and acquiring real-time power generation plan deviation amount;
step S6: and calculating the network regulation deviation values of all the regions based on the real-time power generation plan deviation value, and averagely distributing the network regulation deviation values to all the generator sets.
2. The real-time scheduling method for promoting clean energy consumption of power grid according to claim 1, wherein in step S1, the data of the generator set of the power grid includes: the method comprises the steps of regional power grid dispatching, current-time actual output of a direct-regulating unit, current-time actual output of local dispatching units, unit daily generation planned output and unit parameters, wherein the unit parameters comprise unit models.
3. The real-time scheduling method for promoting clean energy consumption of the power grid according to claim 2, wherein the actual output of each local scheduling unit at the current moment is uploaded in a file format at regular time.
4. The real-time scheduling method for promoting clean energy consumption of power grid according to claim 1, wherein in step S3, optimizing the clean energy power generation adjustment strategy includes:
s301: aiming at the problem of limited clean energy output, power supply-section sensitivity analysis is carried out;
s302: according to the result of power supply-section sensitivity analysis, a clean energy power generation adjustment strategy is drawn up on the basis of the principle of minimizing wind abandoning, water abandoning and light abandoning of clean energy;
s303: performing simulated power generation adjustment and safety index analysis and check according to the clean energy power generation adjustment strategy formulated in the step S302;
s304: checking the rationality of the clean energy power generation adjustment strategy formulated in the step S302;
s305: and optimizing the clean energy power generation adjustment strategy according to the checking result in the step S303 and the professional opinions in the step S304 to obtain a final power generation adjustment scheme.
5. The real-time scheduling method for promoting consumption of clean energy in power grid according to claim 4, wherein the clean energy generation adjustment strategy in step S302 comprises the following steps:
sequencing the power supplies according to the risk of abandoning water, wind or light in real time, and sequentially increasing the power generation of the power supplies from high to low according to the risk until the power is fully generated;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, sequencing the sensitivities of the heavy-load discharging sections of the power supply from low to high, and sequentially increasing the power generation of the power supply according to the sensitivity sequence from low to high until full power generation;
if the risks of real-time water abandonment, wind abandonment or light abandonment of the power supply are equal, and the sensitivities of the power supply to the heavy-load carrying-out section are equal, the power generation shortage is averagely distributed to each power supply;
if the power supply has no risk of abandoning water, wind or light in real time, the power supply is sequenced according to the sensitivity of the heavy-load carrying and discharging section, and the power supply is reduced from high to low until the power supply stops generating according to the sequence of the sensitivity.
6. The real-time scheduling method for promoting clean energy consumption of power grid according to claim 1, wherein the step of adjusting the operation mode of the power grid in S4 includes the following steps:
s401: aiming at the problem of limited clean energy output, carrying out power supply-section sensitivity analysis and load-section sensitivity analysis;
s402: according to the sensitivity analysis result of the step S401, a power grid operation mode adjustment scheme is drawn up with the purposes of improving the stability margin of the clean energy sent out of the section and reducing the section flow;
s403: simulating and adjusting the power grid operation mode and increasing the clean energy output according to the power grid operation mode adjustment scheme drawn up in the step S402, and analyzing and checking safety indexes;
s404: checking the safety and the rationality of the power grid operation mode adjustment scheme proposed in the step S402;
s405: and optimizing and determining a final power grid operation mode and a final clean energy output adjustment scheme according to the checking result of the step 403 and the professional opinion of the step S404.
7. The real-time scheduling method for promoting the consumption of clean energy in the power grid according to claim 1, wherein before optimizing the adjustment strategy for clean energy power generation in S3, the phenomena of heavy load of the clean energy delivery section and limited output of the clean energy are studied and the delivery potential of the power transmission channel is mined.
8. The real-time scheduling method for promoting clean energy consumption of a power grid according to claim 7, wherein the mining the transmission channel delivery potential comprises:
carrying out online analysis on the power limit of the clean energy delivery section;
determining real-time control limit of a clean energy output section, extracting daily load prediction data, performing future dynamic power flow online analysis, and evaluating the applicable time period of the real-time control limit;
checking and confirming real-time control limit and boundary conditions of the clean energy output section;
setting a real-time monitoring interface of the clean energy delivery section, and monitoring;
according to the result of the power supply-section sensitivity analysis, a power generation scheduling scheme with the maximum clean energy output is formulated, wherein the power generation scheduling scheme comprises the steps of determining the power limit of a clean energy output section, determining the real-time control limit and the boundary condition of the clean energy output section, determining the applicable time period of the real-time control limit and setting a real-time monitoring interface of the clean energy output section;
the daily load prediction data includes daily circuit demand and daily electricity consumption.
9. The real-time scheduling method for promoting consumption of clean energy of a power grid according to claim 4, wherein the power generation adjustment scheme comprises clean energy output limited data, power generation adjustment data and safety index data, the clean energy output limited data comprises peak shaving limited electric quantity data, the power generation adjustment data comprises operation condition data of each component of the power generating set and performance parameters of each component of the power generating set, and the safety index data comprises voltage stability index data, power angle stability index data and section power transmission limit data.
10. The real-time scheduling method for promoting clean energy consumption of the power grid according to claim 6, wherein the adjustment scheme of the operation mode of the power grid comprises sending out section stability margin data and section flow data;
the clean energy output adjustment scheme comprises power-section sensitivity data, load-section sensitivity data, sent section stability margin data, section tide data and safety index data.
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| CN202011220250.8A CN114447990A (en) | 2020-11-05 | 2020-11-05 | Real-time scheduling method for promoting clean energy consumption of power grid |
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| CN202011220250.8A CN114447990A (en) | 2020-11-05 | 2020-11-05 | Real-time scheduling method for promoting clean energy consumption of power grid |
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| CN115310811A (en) * | 2022-08-08 | 2022-11-08 | 国网山东省电力公司潍坊供电公司 | Fair scheduling method for power energy of micro-grid |
| CN115310811B (en) * | 2022-08-08 | 2024-05-10 | 国网山东省电力公司潍坊供电公司 | Micro-grid electric power energy fair scheduling method |
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