CN112862346A - Key supplier testing method and device - Google Patents
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Abstract
The invention provides a method and a device for testing key suppliers, wherein the method comprises the following steps: acquiring basic data of a unit and a power grid; screening out the unit to be tested based on the calculated residual supply index and the available declaration capacity ranking; adding the unit which fails the behavior test in the units to be tested to a key supplier test list; performing single unit key supplier tests on the units in the key supplier test list one by one; and carrying out machine group key supplier test on machine groups of the same group. The invention also considers the climbing and network safety constraint when judging the key suppliers, not only tests the single-unit key suppliers one by one for the units in the key supplier test list, but also tests the group key suppliers for the units of the same group, thereby accurately testing the real supply capacity of the generator to the market.
Description
Technical Field
The invention relates to the technical field of power dispatching, in particular to a key supplier testing method and device.
Background
Due to the characteristics of economic systems in China and the scale effect of the power industry in the long-term development process, the structure of the power market in most regions of China is relatively monopolized, and the market power risk problem is more prominent. With the gradual implementation of electric power spot market test points, the risk control measures in the traditional planning mode are no longer applicable, and the market force risk problem becomes very severe. In the power market at the power generation side, each power generation main body has certain market power, and the phenomenon that power generators abuse the market power is an important factor for restricting the continuous and healthy development of the power market. To prevent market force manipulation by market members from compromising the interests of other market members, monitoring and controlling market force is required to ensure the effectiveness of market competition and to promote smooth, orderly operation of the electricity market.
Key supplier testing is one of the important means to identify market forces for power generation vendors. If a power generation enterprise is exposed to a power outage when the power generation enterprise is not supplying power to the market, the power generation enterprise is determined to be a key supplier. The key supplier index (PSI) is a market force index commonly used in the market today. PSI simply judges whether the power generation enterprise is a key supplier or not by analyzing the power generation capacity of all power generators and the total load demand of the tested power generation enterprise, does not consider the safety constraint condition of power grid operation, and cannot accurately depict the real supply capacity of the power generators to the market.
Disclosure of Invention
The invention aims to provide a key supplier testing method and device to solve the technical problem, so that the real supply capacity of a generator to the market can be accurately tested.
In order to solve the above technical problem, the present invention provides a method for testing a key supplier, comprising:
acquiring basic data of N sets and power grids in a market;
calculating the residual supply indexes of the N sets one by one, ranking the available declaration capacity of the N sets, and screening out the set to be tested based on the calculated residual supply indexes and the available declaration capacity ranking;
performing behavior test on the screened unit to be tested, and adding the unit which does not pass the behavior test to a key supplier test list;
optimizing the unit-unit key provider test one by one on the basis of a preset first constraint condition, judging the unit with the key provider test optimization result being larger than a preset threshold value as a key provider, and adding the key provider to a key provider unit list; the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list;
optimizing a machine group key supplier test on a machine group corresponding to the machine group in the key supplier machine group list based on a preset second constraint condition, and judging the machine group with the machine group key supplier test optimization result larger than a preset threshold value as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
Further, the basic data comprises one or more of bus load prediction data, unit quotation data, unit climbing rate parameters, section and line tide limit parameters and electric parameters related to a power system network topological structure.
Further, screening out the units to be tested based on the calculated residual supply index and the available declared capacity ranking specifically comprises:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
Further, the behavior test mode comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
Further, the first constraint condition further comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line power flow constraint and line section constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
In order to solve the same technical problem, the present invention also provides a key supplier testing apparatus, comprising:
the data acquisition module is used for acquiring basic data of N units and power grids in a market;
the screening module of the unit to be tested is used for calculating the residual supply indexes of the N units one by one, ranking the available declaration capacity of the N units, and screening the unit to be tested based on the calculated residual supply indexes and the available declaration capacity ranking;
the test list acquisition module is used for performing behavior test on the screened to-be-tested unit and adding the unit which does not pass the behavior test to a key supplier test list;
the single unit key supplier testing module is used for optimizing the single unit key supplier tests of the units in the key supplier testing list one by one based on a preset first constraint condition, judging the units with the key supplier testing optimization results larger than a preset threshold value as key suppliers and adding the key suppliers to the key supplier unit list; the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list;
the machine group key supplier testing module is used for optimizing a machine group key supplier test on a machine group corresponding to the machine group in the key supplier machine group list based on a preset second constraint condition, and judging the machine group with the machine group key supplier test optimization result larger than a preset threshold value as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
Further, the basic data comprises one or more of bus load prediction data, unit quotation data, unit climbing rate parameters, section and line tide limit parameters and electric parameters related to a power system network topological structure.
Further, screening out the units to be tested based on the calculated residual supply index and the available declared capacity ranking specifically comprises:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
Further, the behavior test mode comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
Further, the first constraint condition further comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line power flow constraint and line section constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides a method and a device for testing key suppliers, wherein the method comprises the following steps: acquiring basic data of a unit and a power grid; calculating the residual supply index of the unit, ranking the available declaration capacity of the unit, and screening out the unit to be tested based on the calculated residual supply index and the available declaration capacity ranking; performing behavior test on the screened unit to be tested, and adding the unit which does not pass the behavior test to a key supplier test list; optimizing the unit key supplier tests one by one for the units in the key supplier test list, judging the unit with the key supplier test optimization result larger than a preset threshold value as a key supplier and adding the key supplier test optimization result to a key supplier unit list; and optimizing the machine group key supplier test on the machine group corresponding to the machine group in the key supplier machine group list, and judging the machine group with the test optimization result of the machine group key supplier greater than a preset threshold value as the key supplier. The invention considers the climbing and the network safety constraint when judging the key suppliers, not only carries out the single-unit key supplier test on the units in the key supplier test list one by one, but also carries out the unit group key supplier test on the units of the same group, thereby being capable of accurately testing the real supply capacity of the generator to the market.
Drawings
FIG. 1 is a schematic flow chart of a key supplier testing method according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of generating a key provider test unit list according to an embodiment of the present invention;
FIG. 3 is a key provider decision flow that takes into account hill climbing and network security constraints as provided by an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a key supplier testing apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a method for testing a key supplier, including the steps of:
and S1, acquiring basic data of the N sets and the power grid in the market.
Further, the basic data comprises one or more of bus load prediction data, unit quotation data, unit climbing rate parameters, section and line tide limit parameters and electric parameters related to a power system network topological structure.
And S2, calculating the residual supply indexes of the N units one by one, ranking the available declaration capacity of the N units, and screening the units to be tested based on the calculated residual supply indexes and the available declaration capacity ranking.
Further, screening out the units to be tested based on the calculated residual supply index and the available declared capacity ranking specifically comprises:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
And S3, performing behavior test on the screened unit to be tested, and adding the unit which does not pass the behavior test to a key supplier test list.
Further, the behavior test mode comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
S4, optimizing the unit in the key supplier test list one by one according to a preset first constraint condition, judging the unit with the key supplier test optimization result larger than a preset threshold value as a key supplier, and adding the key supplier test optimization result to the key supplier unit list; and the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list.
S5, optimizing a machine group key supplier test on a machine group corresponding to the machine group in the key supplier machine group list based on a preset second constraint condition, and judging the machine group with the machine group key supplier test optimization result larger than a preset threshold value as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
Further, the first constraint condition further comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line power flow constraint and line section constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
Referring to fig. 2-3, based on the above-mentioned schemes, in order to better understand the key supplier testing method provided by the embodiment of the present invention, the following detailed descriptions are provided:
1. acquiring bus load prediction data, unit quotation data, unit climbing rate parameters, section and line power flow limit parameters, a power system network topological structure and related electrical parameters of a power grid.
2. And performing basic screening of ranking of Residual Supply Indexes (RSIs) and available declared capacity on all available units which are not declared for overhaul or shutdown in the spot market, calculating the RSI index of each unit, and ranking the available declared capacity of all the units, wherein the RSI index is smaller than a specified threshold value or the RSI index is ranked five times before the available declared capacity (if the capacity is the same, the RSI index is considered to be ranked and parallel) for further performing behavior test. The units which fail the behavior test are listed in a key supplier test list based on the climbing and network security constraint (referred to as a key supplier test list). The method of behavioral testing is as follows:
wherein p isi,tIs the quote for the unit i during the time period t,
the threshold value is a behavior test threshold value for the unit i to report the price in the time t, can be determined according to the marginal power generation cost of the unit, and can be used as a market operation parameter for adjustment.
If the above formula is true, it indicates that one or more quotations of the unit are higher than the threshold, and the unit fails the behavior test.
3. The unit in the test list is subjected to 'single unit key supplier test' one by one, and the test method comprises the following steps:
3.1, carrying out a single-unit key supplier test on the unit k in a peak period, wherein the period t is optimized as follows:
in the formula, Pk,tIn order to test the output of the unit k of the single unit key supplier in the time period t,
and (4) the maximum output of the unit k below the price threshold in the quotation behavior test of the time period t. The optimized optimizable variable is the capacity of all units.
3.2, the unit climbing constraint conditions for the unit k are as follows:
in the formula (I), the compound is shown in the specification,
the maximum climbing rate of the unit k, delta Pk downThe maximum downward climbing speed of the unit k; alpha is alphak,tRepresenting the on-off state of the unit k in the period t, alphak,t0 denotes a unit shutdown, α k,t1 represents the starting of the unit; pk techAnd the minimum technical output of the unit k in the t-1 period.
It should be noted that, in order to avoid the possible output scheme that the constraint is too much and is limited to other tested units, whether a key supplier exists or not is tested under an extreme condition, the method simplifies the test model, and does not consider the multi-period climbing constraint for the non-tested units. Assuming that all other units have the capability of achieving various output combination schemes in the output space, that is, the combination of the other units is considered to be a unit set with larger capacity and higher climbing speed for the unit k, and the inside of the set can meet the climbing requirement.
3.3, for N units in the market including the unit k, the following constraint conditions are provided:
(1) system load balancing constraints
In the formula, Pi,tRepresents the output of the unit i in the time period T, Tj,tRepresents the planned power of the tie j (positive input and negative output) over time period t, NT is the total number of ties, DtThe system load for time period t.
(2) Upper and lower limit restraint of unit output
In the formula (I), the compound is shown in the specification,
respectively representing the upper and lower limits of the unit output, alphai,tRepresenting the on-off state of the unit i in the time period t, alphai,t0 denotes a unit shutdown, α i,t1 indicates that the unit is started.
(3) Line flow constraint
In the formula, Pl maxIs the tidal current transmission limit of line l; gl-iOutputting a power transfer distribution factor for a generator of a line l by a node where a unit i is located; gl-jOutputting a power transfer distribution factor for the generator of the link line l by the node where the link line j is located; k is the number of nodes of the system; gl-kGenerator output to line l for node kOutputting a power transfer distribution factor; dk,tIs the bus load value of node k at time period t.
Respectively, the positive and reverse power flow relaxation variables of the line l.
The line power flow constraint uses a direct current power flow model, and the problems of long time consumption and complex iteration of alternating current power flow model calculation are solved.
(4) Line profile constraint
In the formula, Ps min、Ps maxRespectively the tidal current transmission limit of the section s; gs-iThe generator output power of the section s is transferred to a distribution factor for the node where the unit i is located; gs-jThe generator output power of the section s is transferred with a distribution factor for the node where the tie line j is located; gs-kThe generator output power transfer distribution factor is node k to section s.
Respectively the positive and reverse tide relaxation variables of the section s.
The objective function and the constraint condition are as follows:
wherein NM is the total number of stages quoted by the unit, Pi,t,mThe power-winning amount of the unit i in the mth output interval of the time t is the power-winning amount,
the m output interval reported by the unit i is up and downAnd (4) boundary.
3.4 testing optimization result of single unit key supplier of unit k in time t
When the time is more than 0, the unit is a key supplier in the time period t; otherwise it is not a critical supplier. In the electric power spot market, if the unit quotes normally in the first few periods, the output cannot be forced to be the minimum technical output, so in order to reduce the possibility that the unit is judged as a key supplier by mistake, the reasonable maximum output of the tested unit k is assumed to be the maximum output lower than the price threshold in the behavior test (the output higher than the price threshold in the behavior test cannot be cleared generally due to the overhigh price), and within the output, the tested unit k is considered to be the reasonable output. And when the optimization result of the model is greater than the output, namely the output requirement of the system on the unit k is higher than the reasonable maximum output, the unit is considered to have market power and is a key supplier.
4. The method comprises the step of carrying out 'machine group key supplier test' on a plurality of machine groups of the same group. This is because some units can pass the "single-unit key supplier test", but the sum of the capacities of a plurality of units in the same group is large, and a plurality of units in the same group may still have the possibility of "necessary output" in some time periods. During testing, a plurality of units of the same group tested by key suppliers of the unit group are regarded as the same beneficial agent, and if all the units of the power generation group are successful in the spot market, the following steps are carried out:
and (3) carrying out a machine group key supplier test on the machine group K in the time period t, and optimizing the machine group K as follows:
in the formula, Pk,tAnd (4) the output of the unit k tested by the key supplier of the unit group in the time period t.
Report for a unit k at a time tMaximum force below the price threshold in the price behavior test.
4.2, the climbing constraint of the units in the unit group K is as follows:
wherein, K is equal to K,
maximum rate of ascent of unit k, Δ Pk downThe maximum downward climbing speed of the unit k; alpha is alphak,tRepresenting the on-off state of the unit k in the period t, alphak,t0 denotes a unit shutdown, α k,t1 represents the starting of the unit; pk techThe minimum technical output of the unit k.
The method does not consider the climbing restriction of the machine sets except the tested machine set group K. Since considering the climbing constraints of all other units requires assuming the contribution of all other units at the starting moment. The assumption influences the sum of the test result and the output of the non-test unit cluster in each time period, and the result of the key supplier test is limited to be under a specific assumption condition and has no universality. According to the method, actual conditions are combined, any output within an adjustable range can be realized by other units through various combinations so as to meet the requirement of global optimization, the optimization result is more reasonable, and diversified market operation scenes are met.
4.3, for N units in the market including the unit group K, the following constraint conditions are provided:
(1) system load balancing constraints
In the formula, Pi,tRepresenting unit i during time period tForce, Tj,tRepresents the planned power of the tie j (positive input and negative output) over time period t, NT is the total number of ties, DtThe system load for time period t.
(2) Upper and lower limit restraint of unit output
In the formula (I), the compound is shown in the specification,
respectively representing the upper and lower limits of the unit output, alphai,tRepresenting the on-off state of the unit i in the time period t, alphai,t0 denotes a unit shutdown, α i,t1 indicates that the unit is started.
(3) Line flow constraint
In the formula, Pl maxIs the tidal current transmission limit of line l; gl-iOutputting a power transfer distribution factor for a generator of a line l by a node where a unit i is located; gl-jOutputting a power transfer distribution factor for the generator of the link line l by the node where the link line j is located; k is the number of nodes of the system; gl-kA generator output power transfer distribution factor for node k to line l; dk,tIs the bus load value of node k at time period t.
Respectively, the positive and reverse power flow relaxation variables of the line l.
(4) Line profile constraint
In the formula, Ps min、Ps maxRespectively the tidal current transmission limit of the section s;Gs-ithe generator output power of the section s is transferred to a distribution factor for the node where the unit i is located; gs-jThe generator output power of the section s is transferred with a distribution factor for the node where the tie line j is located; gs-kThe generator output power transfer distribution factor is node k to section s.
Respectively the positive and reverse tide relaxation variables of the section s.
The objective function and the constraint condition are as follows:
wherein NM is the total number of stages quoted by the unit, Pi,t,mThe winning bid amount of the unit i in the mth processing interval of the time t is given,
and the upper and lower boundaries of the mth output interval declared by the unit i are respectively set.
4.4 testing and optimizing result of key supplier of machine group in time period t by machine group K
If the time is more than 0, the set of machine groups is a key supplier in the time period t; otherwise it is not a critical supplier.
5. In the actual market monitoring, the following market control means can be adopted for the key supplier units obtained by testing and screening and the unit groups belonging to the same power generation group:
5.1 partial force with optimization result larger than 0
Bid capacity limiting:
for the key supplier unit k, the purge capacity limit is as follows:
in the formula, Dt、StSystem demand and supply, S, respectively, for a time period tk,tIs the available capacity of the unit k in the time period t.
5.2, replacing the quotation in the quotation section which is higher than the behavior test threshold value:
for the key supplier unit k, the quotation which is higher than the behavior test threshold value can be directly replaced by the behavior test threshold value. The threshold of the behavior test may be determined according to the following items:
(1) historical quotation of the unit;
(2) historical electricity prices of the nodes where the units are located;
(3) the unit variable cost, i.e. heat consumption x fuel cost + other variable operating and maintenance costs.
It should be noted that the method of the present invention provides a method for testing critical suppliers based on hill climbing and network security constraints, which includes "single-unit group critical supplier test" and "machine group critical supplier test". And performing simple model clearing on the unit based on climbing and network security constraint, and judging whether the output of the unit is indispensable in the time period. The method not only considers the power generation capacity of a power generation enterprise and the system load of a power grid, but also considers the climbing and network safety constraints when judging key suppliers.
In addition, before the unit key supplier test, the method firstly screens through RSI and declared capacity, and obtains a key supplier test list after behavior test, thereby reducing the model calculation amount and improving the speed of the system for calculating the optimization result. And then, performing single-unit key supplier test on the units in the key supplier test list one by one. Since the installed capacity of a single unit is often insufficient to affect the supply and demand of a whole market, it may happen that a single unit key supplier tests for full-batch passage, but multiple units of the same group still have "must deliver" at some time. Therefore, the method of the invention also performs 'machine group key supplier test' on the machine groups of the same group. Finally, the method also provides a market force control means for testing and screening the key supplier units and the unit groups belonging to the same power generation group.
It should be noted that the above method or flow embodiment is described as a series of acts or combinations for simplicity, but those skilled in the art should understand that the present invention is not limited by the described acts or sequences, as some steps may be performed in other sequences or simultaneously according to the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are exemplary embodiments and that no single embodiment is necessarily required by the inventive embodiments.
Referring to fig. 4, in order to solve the same technical problem, the present invention further provides a key supplier testing apparatus, including:
the data acquisition module 1 is used for acquiring basic data of N units and power grids in a market;
the to-be-tested unit screening module 2 is used for calculating the residual supply indexes of the N units one by one, ranking the available declaration capacity of the N units, and screening out the to-be-tested unit based on the calculated residual supply indexes and the available declaration capacity ranking;
the test list acquisition module 3 is used for performing behavior test on the screened unit to be tested and adding the unit which does not pass the behavior test to a key supplier test list;
the single unit key supplier testing module 4 is used for performing single unit key supplier tests on the units in the key supplier test list one by one based on a preset first constraint condition, judging the units with the key supplier test optimization results larger than a preset threshold value as key suppliers and adding the key suppliers to the key supplier unit list; the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list;
the machine group key supplier testing module 5 is configured to perform a machine group key supplier test on a machine group corresponding to a machine group in the key supplier machine group list based on a preset second constraint condition, and determine the machine group with an optimization result of the machine group key supplier test larger than a preset threshold as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
Further, the basic data comprises one or more of bus load prediction data, unit quotation data, unit climbing rate parameters, section and line tide limit parameters and electric parameters related to a power system network topological structure.
Further, screening out the units to be tested based on the calculated residual supply index and the available declared capacity ranking specifically comprises:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
Further, the behavior test mode comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
Further, the first constraint condition further comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line power flow constraint and line section constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
It is to be understood that the above-mentioned embodiment of the apparatus item corresponds to an embodiment of a method item of the present invention, and a key supplier testing apparatus provided in the embodiment of the present invention may implement a key supplier testing method provided in any one embodiment of the method item of the present invention.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.
Claims (10)
1. A key supplier testing method, comprising:
acquiring basic data of N sets and power grids in a market;
calculating the residual supply indexes of the N sets one by one, ranking the available declaration capacity of the N sets, and screening out the set to be tested based on the calculated residual supply indexes and the available declaration capacity ranking;
performing behavior test on the screened unit to be tested, and adding the unit which does not pass the behavior test to a key supplier test list;
optimizing the unit-unit key provider test one by one on the basis of a preset first constraint condition, judging the unit with the key provider test optimization result being larger than a preset threshold value as a key provider, and adding the key provider to a key provider unit list; the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list;
optimizing a machine group key supplier test on a machine group corresponding to the machine group in the key supplier machine group list based on a preset second constraint condition, and judging the machine group with the machine group key supplier test optimization result larger than a preset threshold value as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
2. The key supplier testing method of claim 1, wherein the base data comprises one or more of bus load prediction data, unit quote data, unit ramp rate parameters, section and line current limit parameters, electrical parameters related to power system network topology.
3. The key supplier testing method according to claim 1, wherein the screening out of the tested units based on the calculated remaining supply index and the available declared capacity ranking is specifically:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
4. The key supplier testing method of claim 1, wherein the manner of behavioral testing comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
5. The key supplier testing method of claim 1, wherein the first constraint condition further comprises one or more of a system load balancing constraint, a unit capacity upper and lower limit constraint, a line flow constraint, and a line section constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
6. A key supplier testing apparatus, comprising:
the data acquisition module is used for acquiring basic data of N units and power grids in a market;
the screening module of the unit to be tested is used for calculating the residual supply indexes of the N units one by one, ranking the available declaration capacity of the N units, and screening the unit to be tested based on the calculated residual supply indexes and the available declaration capacity ranking;
the test list acquisition module is used for performing behavior test on the screened to-be-tested unit and adding the unit which does not pass the behavior test to a key supplier test list;
the single unit key supplier testing module is used for optimizing the single unit key supplier tests of the units in the key supplier testing list one by one based on a preset first constraint condition, judging the units with the key supplier testing optimization results larger than a preset threshold value as key suppliers and adding the key suppliers to the key supplier unit list; the unit climbing constraint condition in the first constraint condition only constrains the unit in the key supplier test list;
the machine group key supplier testing module is used for optimizing a machine group key supplier test on a machine group corresponding to the machine group in the key supplier machine group list based on a preset second constraint condition, and judging the machine group with the machine group key supplier test optimization result larger than a preset threshold value as a key supplier; and the unit climbing constraint condition in the second constraint condition only constrains the unit group corresponding to the unit in the key supplier unit list.
7. The key supplier testing device of claim 6, wherein the base data comprises one or more of bus load prediction data, unit quote data, unit ramp rate parameters, section and line current limit parameters, electrical parameters related to power system network topology.
8. The key supplier testing device of claim 6, wherein the tested unit is screened out based on the calculated remaining supply index and the available declared capacity ranking, specifically:
and screening out the units with the residual supply indexes smaller than a preset threshold value or the available declaration capacity ranking exceeding a preset ranking as the units to be tested.
9. The key supplier testing apparatus of claim 6, wherein the manner of behavioral testing comprises:
and when the quotation of the unit i in the time period t is greater than a preset behavior test threshold value, judging that the unit i fails the behavior test.
10. The key supplier testing device of claim 6, wherein the first constraint condition further comprises one or more of a system load balancing constraint, a unit capacity upper and lower limit constraint, a line flow constraint, a line profile constraint; the second constraint condition also comprises one or more of system load balance constraint, unit output upper and lower limit constraint, line tide constraint and line section constraint.
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