CN107563598B - Provincial power grid region mutual-economic contribution level evaluation method for coping with power loss - Google Patents

Provincial power grid region mutual-economic contribution level evaluation method for coping with power loss Download PDF

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CN107563598B
CN107563598B CN201710660218.3A CN201710660218A CN107563598B CN 107563598 B CN107563598 B CN 107563598B CN 201710660218 A CN201710660218 A CN 201710660218A CN 107563598 B CN107563598 B CN 107563598B
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power grid
provincial
aid
mutual
regional
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CN107563598A (en
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李利利
丁恰
谢丽荣
李端超
王正风
涂孟夫
滕贤亮
吴炳祥
张丙金
李炎
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NANJING NANRUI GROUP CO
State Grid Corp of China SGCC
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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NANJING NANRUI GROUP CO
State Grid Corp of China SGCC
State Grid Anhui Electric Power Co Ltd
Nari Technology Co Ltd
NARI Nanjing Control System Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
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Abstract

The invention discloses a provincial power grid regional mutual-economic contribution level evaluation method for coping with power loss, which comprises the following steps of: 1) dividing a power grid participating in regional mutual aid into a trans-regional tie line support power grid and a trans-provincial tie line support power grid; 2) carrying out optimization evaluation on the provincial power grid region mutual-aid supporting capacity according to the load level, the standby capacity, the power structure and the power grid structure of the provincial power grid supported by the cross-provincial connecting lines; 3) calculating a support degree index and a contribution degree index of provincial power grid region mutual aid; 4) establishing a comprehensive evaluation index model of the regional mutual-aid contribution level based on a nonlinear exponential function; 5) and calculating the evaluation result of the provincial power grid area mutual-economic contribution level for coping with the high-power loss. The method is beneficial to fully mobilizing the regional mutual economic enthusiasm of the provincial power grid and improving the safe operation level of the large power grid for coping with power loss.

Description

Provincial power grid region mutual-economic contribution level evaluation method for coping with power loss
Technical Field
The invention relates to a provincial power grid regional mutual-aid contribution level evaluation method for coping with power loss, and belongs to the technical field of electric power system dispatching automation.
Background
Along with the continuous deepening of the construction of the extra-high voltage interconnected power grid, the operation integration degree of the power grid is greatly improved, the power grid is developed into a unified power grid connected by extra-high voltage main grid frames, all levels of power grids are mutually influenced, the alternating current-direct current exchange capacity is huge, and the coupling characteristic of the power grid is obvious. Under the operation environment of a large-scale interconnected power grid, the safe and stable operation of the power system depends more on the continuous output of electric energy of a power generation end and the normal work of a cross-region connecting line. Once the conditions such as extra-high voltage alternating current-direct current connecting line faults occur, the transmission power of a transmitting end is greatly reduced, if a control strategy and a power generation and transmission plan are not adjusted in time, a chain reaction is caused, and the risk of large-scale power loss in scheduling operation in the day is increased.
When large-scale power is lost, the receiving-end power grid drop point province is difficult to make up for the vacant power even if the provincial power generation resources are called immediately. At this time, not only needs to rely on modes such as dynamic ACE to rapidly support the whole network power in a real-time control link to realize frequency recovery, but also needs to fully exert the functions of trans-regional trans-provincial junctor adjustment and non-AGC sets of a receiving-end power grid, and rapidly plan adjustment on a long-time scale in the day in a short time to realize regional mutual aid.
The large-scale power loss inevitably involves coordination among national, provincial and provincial multi-level scheduling, and the scheduling ranges of each level of scheduling center are relatively independent and are mutually associated. When large-scale power is lacked, consideration needs to be given to whether each level of scheduling center can support and how much regional mutual aid of the interconnected large power grids can be supported. Meanwhile, the contribution degree of regional mutual aid is measured, the power generation and transmission scheduling conditions of each provincial power grid can be more comprehensively known, and more scientific decision support is provided for regional mutual aid power flow transfer. Therefore, the assessment of the provincial power grid regional contribution mutual-aid level under the condition of large-scale power deficiency is an important basis for improvement and decision support of the national province daily plan integrated optimization adjustment model. How to accurately evaluate the contribution degree of each provincial power grid in regional mutual aid is still lack of an effective technical means. At present, when large-scale power shortage needs to be adjusted in a large range from region to region, and from province to province, manual adjustment modes of scheduling personnel are mainly used, and the modes cannot adapt to increasingly complex and refined large power grid scheduling work.
Disclosure of Invention
In order to solve the defects of the prior art, the invention aims to provide a provincial power grid regional mutual-aid contribution level evaluation method for coping with power deficiency, which realizes the online automatic calculation and analysis of the regional mutual-aid contribution degree, is convenient for mastering the regional mutual-aid effect in time, reasonably analyzes the responsibility of each provincial power grid in daily plan adjustment, and better guides the multi-stage scheduling regional mutual-aid under large-scale power deficiency.
In order to achieve the above object, the present invention adopts the following technical solutions:
a provincial power grid region mutual-economic contribution level evaluation method for dealing with power loss is characterized by comprising the following steps:
1) determining the provincial power grid range participating in regional mutual aid in the power grid, and dividing the provincial power grid participating in regional mutual aid into a cross-regional tie support power grid and a cross-provincial tie support power grid according to the support range of the tie in multi-level scheduling;
2) optimizing and evaluating the regional mutual-aid support capability of each provincial power grid: acquiring load levels, spare capacity, power structures and power structure data of all provincial power grids supported by the cross-provincial junctor, establishing an optimized evaluation model of regional mutual-aid support capability of the provincial power grids, comprehensively evaluating the operation conditions of the provincial power grids, and acquiring regional mutual-aid support capability of each provincial power grid for coping with large-scale power loss;
3) obtaining a provincial power grid region mutual-aid support degree index: acquiring regional mutual-aid tidal current transfer quantity of a provincial power grid for coping with large-scale power loss, and calculating a regional mutual-aid support degree index of the provincial power grid based on regional mutual-aid support capacity of the provincial power grid; the support degree is defined as the proportion of the regional mutual-aid tidal current transfer amount in the support capacity and is used for evaluating the support degree of each provincial power grid under the conditions of self load level, power supply structure, power grid structure and the like;
4) obtaining a provincial power grid region mutual-economic contribution index: acquiring the regional mutual-aid power flow demand of large-scale power loss, and calculating the regional mutual-aid contribution index of the provincial power grid; the contribution degree is defined as the proportion of the regional mutual-aid tidal current transfer amount to the demand amount and is used for evaluating the contribution degree of each provincial-level power grid in regional mutual-aid;
5) calculating the comprehensive index of the provincial power grid region mutual-economic contribution level: and calculating a comprehensive index of the regional mutual-aid contribution level of the provincial power grid corresponding to the high-power loss based on the regional mutual-aid support index and the contribution index.
The method for evaluating the mutual-aid contribution level of the provincial power grid region in response to the power loss is characterized in that the objective function of the optimization model in the step 2) is
Figure BDA0001370372890000031
Wherein T is the number of interconnection lines for the provincial power grid participating in regional mutual aid; f. oftReal-time planned output for the tie-line t.
The assessment method for provincial power grid regional mutual-economic contribution level coping with power shortage is characterized in that the optimal in the step 2)Constraint conditions of the chemical model
Figure BDA0001370372890000032
Wherein Tie is the number of provincial power grid connecting lines; i is the number of the generator sets; piOutput is planned in real time for the unit i; l is the total load of the system; f. oft,maxIs the transmission limit of the tie-line t; riProviding a standby for the unit i; pi,maxAnd Pi,minRespectively representing the upper limit and the lower limit of the generated output of the unit i; q is the standby requirement of the system; pi,0Real-time output of the unit i is obtained; deltaiThe maximum value of the climbing rate of the unit i in each time period is obtained;
Figure BDA0001370372890000041
and pijRespectively representing the upper and lower limits of the current, p, of the branch ijijIs the flow of branch ij.
The method for evaluating the provincial power grid regional mutual-economic contribution level in response to the power shortage is characterized in that the support degree index in the step 3) is as follows:
Figure BDA0001370372890000042
wherein M issThe support degree of the provincial power grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; fsThe regional mutual-aid supporting capability of the provincial power grid s is provided.
The method for evaluating the provincial power grid regional mutual-economic contribution level in response to power shortage is characterized in that the contribution degree index in the step 4) is as follows:
Figure BDA0001370372890000043
wherein N issThe contribution degree of a provincial power grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; vsIs the regional mutual economic tidal current demand.
The method for evaluating the provincial power grid regional mutual-economic contribution level for coping with power loss is characterized in that in the step 5), the comprehensive indexes of the provincial power grid regional mutual-economic contribution level are as follows:
Figure BDA0001370372890000044
wherein, YsComprehensively evaluating indexes for contribution levels of the provincial power grid s; k is an integer less than 1, and when K is smaller, Y issThe attenuation trend is more obvious, when K takes a larger value, YsThe decay tendency is relatively gentle.
The invention achieves the following beneficial effects: the method and the system evaluate the provincial power grid regional mutual-aid contribution level under the condition of ultra-short-term dispatching operation, can prevent risks brought by large-scale power loss to the safe operation of the power grid in advance, can deeply sense the supporting capability of power grid regional mutual-aid under the current operation environment, can accurately evaluate the contribution degree of each provincial power grid in regional mutual-aid, realize the on-line automatic calculation and analysis of the regional mutual-aid contribution degree, can provide effective reference basis for dispatching personnel to carry out daily real-time plan adjustment, and greatly improve the safe operation level of the power grid for dealing with the large-scale power loss.
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FIG. 1 is a flow chart of the method.
Detailed Description
The invention is further described below with reference to the accompanying drawings. 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.
With the continuous expansion of the scale of the extra-high voltage interconnected power grid, the risk of large-scale power loss in scheduling operation in the day is increased. When extra-high voltage direct current blocking occurs, the receiving-end power grid generates large-scale power loss of more than 1000 MW. And the vacant power of the receiving-end power grid is made up by adjusting the power plan of the trans-regional trans-provincial tie line. At the moment, the assessment of the provincial level power grid regional mutual-aid contribution level is carried out, the online automatic calculation and analysis of the regional mutual-aid contribution degree are realized, the regional mutual-aid effect can be conveniently mastered in time, and the multi-level dispatching regional power support and the daily plan adjustment under large-scale power loss can be better guided.
The method comprises the following specific steps:
1) and determining the provincial power grid range participating in regional coordination in the power grid, and dividing the provincial power grid participating in regional coordination into a cross-regional coordination support power grid and a cross-provincial coordination support power grid according to the support range of the coordination in multi-level scheduling.
2) Optimizing and evaluating the regional mutual-aid support capability of each provincial power grid: acquiring load level, spare capacity, power structure and power structure data of all provincial power grids supported by the cross-provincial junctor, establishing an optimized evaluation model of regional mutual-aid support capability of the provincial power grids, comprehensively evaluating the operation condition of the provincial power grids, and acquiring regional mutual-aid support capability of each provincial power grid for coping with large-scale power loss.
The objective function of the optimization model in this embodiment is
Figure BDA0001370372890000051
Wherein T is the number of interconnection lines for the provincial power grid participating in regional mutual aid; f. oftReal-time planned output for the tie-line t.
Constraint conditions
Figure BDA0001370372890000061
Wherein Tie is the number of provincial power grid connecting lines; i is the number of the generator sets; piOutput is planned in real time for the unit i; l is the total load of the system; f. oft,maxIs the transmission limit of the tie-line t; riProviding a standby for the unit i; pi,maxAnd Pi,minRespectively representing the upper limit and the lower limit of the generated output of the unit i; q is the standby requirement of the system; pi,0Real-time output of the unit i is obtained; deltaiThe maximum value of the climbing rate of the unit i in each time period is obtained;
Figure BDA0001370372890000062
and pijRespectively representing the upper and lower limits of the current, p, of the branch ijijIs the flow of branch ij.
3) Obtaining a provincial power grid region mutual-aid support degree index: acquiring regional mutual-aid tidal current transfer quantity of a provincial power grid for coping with large-scale power loss, and calculating a regional mutual-aid support degree index of the provincial power grid based on regional mutual-aid support capacity of the provincial power grid; the support degree is defined as the proportion of the regional mutual-aid tidal current transfer amount in the support capacity, and is used for evaluating the support degree of each provincial power grid under the conditions of self load level, power supply structure, power grid structure and the like.
The support degree index is:
Figure BDA0001370372890000063
wherein M issThe support degree of the provincial power grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; fsThe regional mutual-aid supporting capability of the provincial power grid s is provided.
4) Obtaining a provincial power grid region mutual-economic contribution index: acquiring the regional mutual-aid power flow demand of large-scale power loss, and calculating the regional mutual-aid contribution index of the provincial power grid; the contribution degree is defined as the proportion of the regional mutual-aid tidal current transfer amount to the demand amount and is used for evaluating the contribution degree of each provincial-level power grid in regional mutual-aid.
The contribution index is:
Figure BDA0001370372890000064
wherein N issThe contribution degree of a provincial power grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; vsIs the regional mutual economic tidal current demand.
5) Calculating the comprehensive index of the provincial power grid region mutual-economic contribution level: and calculating a comprehensive index of the regional mutual-aid contribution level of the provincial power grid corresponding to the high-power loss based on the regional mutual-aid support index and the contribution index.
The comprehensive indexes of the provincial power grid region mutual-economic contribution level are as follows:
Figure BDA0001370372890000071
wherein, YsComprehensively evaluating indexes for contribution levels of the provincial power grid s; k is an integer less than 1, and when K is smaller, Y issThe attenuation trend is more obvious, when K takes a larger value, YsThe decay tendency is relatively gentle.
The method can dynamically consider the limiting condition of the regional mutual-aid emergency support capability of the power grid under the condition that the real-time operation mode of the provincial power grid changes, and obtain the regional mutual-aid support capability of the provincial power grid on the premise of ensuring the safe operation of the power grid. The regional mutual-aid contribution level evaluation index takes the contribution degree and self-supporting capacity of the provincial power grid into consideration, and a more comprehensive evaluation index is obtained. The evaluation result is analyzed, the larger the power flow transfer contribution degree and the support degree of the power grid are, the higher the evaluation of the regional mutual-aid contribution level is, and the contribution level of the provincial power grid in the regional mutual-aid can be accurately reflected
Compared with the content in the prior art, the method has the following characteristics and functions:
1) the method can comprehensively consider various factors related to regional mutual-aid supporting capacity based on the actual condition of dispatching operation of the provincial power grid, and obtain the regional mutual-aid supporting capacity of the provincial power grid for coping with large-scale power loss in the safe operation domain of the power grid by establishing a reasonable optimization evaluation model.
2) The method provides the support degree index and the contribution degree index of provincial power grid region mutual aid, evaluates the provincial power grid region mutual aid contribution level from a plurality of different angles, guarantees the rationality of the evaluation result, and avoids evaluation sidedness caused by a single index.
3) The method fuses the scattered indexes such as the support degree and the contribution degree, constructs the comprehensive evaluation index of the provincial power grid regional mutual-economic contribution level based on the nonlinear exponential function, better accords with the essential characteristics of strong nonlinearity of the power grid, and is easier for representing the contribution level of each provincial power grid.
In conclusion, the method realizes comprehensive evaluation and online automatic calculation of the regional mutual-aid contribution degree, does not need participation of a large amount of manpower, can meet the requirement of practical application at the calculation speed, effectively solves the problems that the traditional daily plan adjustment responsibility analysis needs a large amount of manpower, depends on experience, is low in efficiency, and is difficult to effectively consider the actual condition of provincial power grid dispatching operation, and has wide popularization prospect.
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 (3)

1. A provincial power grid region mutual-economic contribution level evaluation method for dealing with power loss is characterized by comprising the following steps:
1) determining the provincial power grid range participating in regional mutual aid in the power grid, and dividing the provincial power grid participating in regional mutual aid into a cross-regional tie support power grid and a cross-provincial tie support power grid according to the support range of the tie in multi-level scheduling;
2) optimizing and evaluating the regional mutual-aid support capability of each provincial power grid: acquiring load levels, spare capacity, power structures and power structure data of all provincial power grids supported by the cross-provincial junctor, establishing an optimized evaluation model of regional mutual-aid support capability of the provincial power grids, comprehensively evaluating the operation conditions of the provincial power grids, and acquiring regional mutual-aid support capability of each provincial power grid for coping with large-scale power loss;
the objective function of the optimization evaluation model is
Figure FDA0002443383800000011
Wherein T is the number of interconnection lines for the provincial power grid participating in regional mutual aid; f. oftReal-time planning of the output for the tie-line t;
constraints of the optimization model
Figure FDA0002443383800000012
Wherein Tie is the number of provincial power grid connecting lines; i is the number of the generator sets; piOutput is planned in real time for the unit i; l is the total load of the system; f. oft,maxIs the transmission limit of the tie-line t; riProviding a standby for the unit i; pi,maxAnd Pi,minRespectively representing the upper limit and the lower limit of the generated output of the unit i; q is the standby requirement of the system; pi,0Real-time output of the unit i is obtained; deltaiThe maximum value of the climbing rate of the unit i in each time period is obtained;
Figure FDA0002443383800000013
and ijpeach representing a branch ijUpper and lower limits of tidal current, pijIs the power flow of branch ij;
3) obtaining a provincial power grid region mutual-aid support degree index: acquiring regional mutual-aid tidal current transfer quantity of a provincial power grid for coping with large-scale power loss, and calculating a regional mutual-aid support degree index of the provincial power grid based on regional mutual-aid support capacity of the provincial power grid; the support degree is defined as the proportion of the regional mutual-aid tidal current transfer amount in the support capacity and is used for evaluating the support degree of each provincial power grid under the conditions of self load level, power structure and power grid structure;
4) obtaining a provincial power grid region mutual-economic contribution index: acquiring the regional mutual-aid power flow demand of large-scale power loss, and calculating the regional mutual-aid contribution index of the provincial power grid; the contribution degree is defined as the proportion of the regional mutual-aid tidal current transfer amount to the demand amount and is used for evaluating the contribution degree of each provincial-level power grid in regional mutual-aid;
5) calculating the comprehensive index of the provincial power grid region mutual-economic contribution level: and calculating a comprehensive index of the provincial level power grid regional mutual-aid contribution level for coping with large-scale power loss based on the regional mutual-aid support index and the contribution index.
2. The method according to claim 1, wherein the support degree index in step 3) is:
Figure FDA0002443383800000021
wherein M issThe support degree of the provincial power grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; fsThe regional mutual-aid supporting capability of the provincial power grid s is provided.
3. The method according to claim 1, wherein the contribution degree index in step 4) is:
Figure FDA0002443383800000022
wherein N issTo saveContribution of the secondary grid s; csThe regional mutual-aid tidal current transfer quantity of the provincial power grid s; vsIs the regional mutual economic tidal current demand.
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Citations (2)

* Cited by examiner, † Cited by third party
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CN105046449A (en) * 2015-08-26 2015-11-11 国网冀北电力有限公司 Evaluation method based on gridding power distribution network
CN106099997A (en) * 2016-06-27 2016-11-09 国电南瑞科技股份有限公司 Consider the interconnected network spare shared capacity allocation method of security constraint

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102368610B (en) * 2011-09-22 2013-06-19 天津大学 Evaluation method based on distribution system security region

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105046449A (en) * 2015-08-26 2015-11-11 国网冀北电力有限公司 Evaluation method based on gridding power distribution network
CN106099997A (en) * 2016-06-27 2016-11-09 国电南瑞科技股份有限公司 Consider the interconnected network spare shared capacity allocation method of security constraint

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