CN112084639A - Auxiliary decision-making method for optimal bidding capacity of hydropower stations in frequency modulation market participating in frequency modulation market bidding - Google Patents
Auxiliary decision-making method for optimal bidding capacity of hydropower stations in frequency modulation market participating in frequency modulation market bidding Download PDFInfo
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Abstract
The invention discloses an auxiliary decision method for a hydropower station participating in frequency modulation market bidding to best declare capacity, which obtains a time sequence change result of the on-off state of each unit possibly caused by each assumed frequency modulation capacity by calling a simulation module, so that the feasibility and the quantitative advantages and disadvantages of each assumed frequency modulation capacity can be judged and compared with each other, and the original very divergent decision process is converged. The invention completes the complex calculation work in the bidding process by the simulation module and the main module by methods of eliminating infeasible frequency modulation capacity, quantizing the advantages and disadvantages parameters of the feasible frequency modulation capacity and the like, and actually greatly simplifies the work of determining the optimal reporting frequency modulation capacity.
Description
Technical Field
The invention relates to the technical field of hydroelectric generation automation, in particular to an auxiliary decision-making method for a hydropower station participating in optimal bidding capacity bidding in a frequency modulation market.
Background
In order to further improve the operation stability of the power grid, stimulate power generation enterprises to provide higher-quality frequency modulation auxiliary services, fully play the decisive role of the market in resource allocation, and widely establish a frequency modulation auxiliary service market for each power grid in the last two years. Taking each power grid in south as an example, the frequency modulation market of the power grid in Guangdong is put into operation formally at present, and the frequency modulation market of provincial power grids such as Yunnan and the like is also put into operation in 2020. Under a frequency modulation market mechanism, the hydropower station not only meets the total active set value of the hydropower station plan, but also needs to reserve sufficient secondary frequency modulation adjustment capacity according to scalar quantities in secondary frequency modulation, and the upward and downward secondary frequency modulation reserved adjustment capacities are equal, so that the total active set value of the hydropower station plan is expanded from the matching problem of one point to the matching problem of one interval, and more rigorous requirements are provided for the reasonability of the number arrangement of the generating state units.
Therefore, on the premise of meeting different requirements of an active power plan value, a reserved scalar in secondary frequency modulation, a unit evasion limited operation area and the like, the number of the units in the optimal power generation state of different types of hydropower stations is calculated, and an operator is assisted to prompt according to a calculation result or an on-off instruction is automatically generated. The chinese patent publication No. CN110020965A, an intelligent start-up and shut-down guidance strategy and system for a large-scale hydroelectric power plant, provides an intelligent start-up and shut-down guidance strategy and system for a large-scale hydroelectric power plant, and can provide suggestions for start-up and shut-down of each unit and related regular work according to the operation conditions of the generator units. Chinese patent CN 107591846a, "method for controlling automatic start-up and shut-down of a pumped storage unit based on automatic power generation control", proposes a method for controlling automatic start-up and shut-down of a pumped storage unit based on automatic power generation control, which can automatically calculate a start-up capacity value according to a plan curve, a system frequency, and the like, and calculate a start-up and shut-down command.
Meanwhile, another problem brought by the frequency modulation market is that when a power station participates in the frequency modulation market bidding, the secondary frequency modulation capacity needs to be declared within a certain proportion range (15% -50% of the Yunnan power grid) according to the secondary frequency modulation demand published by scheduling in a time-sharing unit. Because the secondary frequency modulation adjustable capacity of the power station is objectively constrained by the number of available units (including a power generation state unit and a standby state unit) of the power station, a planned active set value, a power generation head, a dynamic combination of an operation area and other complex conditions, if the power station participates in frequency modulation market bidding, the declared secondary frequency modulation capacity is too large, which may possibly cause the problems of unavailable secondary frequency modulation, frequent unit crossing of a vibration area, long-time limitation of operation of too many units in the operation area, frequent start and stop of the machine and the like, thereby bringing serious adverse effects on economic benefits or equipment safety. Therefore, how to determine the optimal recommended declaration capacity of the power station participating in the frequency modulation market in different time periods within the allowable range of objective conditions according to factors such as an active planning curve, a unit available condition and a water head prediction range in a bidding time period also becomes an extremely complex decision problem by maximizing economic benefits on the premise of ensuring secondary frequency modulation availability and equipment safety and stability.
Disclosure of Invention
The invention provides an auxiliary decision-making method for optimal bidding capacity of hydropower stations participating in frequency modulation market bidding, which can comprehensively consider factors such as secondary frequency modulation adjustable capacity of the hydropower stations, starting and stopping frequency, limitation of the number of sets in an operation area, operation duration and the like, and assist bidding decision-making personnel to perform auxiliary calculation on the optimal bidding capacity of each time-sharing period of time for the hydropower stations participating in frequency modulation market bidding so as to give consideration to dual requirements of economic benefit and equipment safety.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows: .
An auxiliary decision method for a hydropower station participating in optimal bidding declared capacity of a frequency modulation market is generated on the basis of a main module and a simulation module, and comprises the following operations:
s1000) the main module receives various parameters required by the aid of decision making and carries out primary processing;
s2000) the simulation module receives simulation parameters of the auxiliary decision according to the calling instruction of the main module, and then simulates the starting and stopping states of all available units under all assumed frequency modulation capacities in all time intervals;
s3000) the main module analyzes the simulation result under each assumed frequency modulation capacity in each time interval, eliminates the infeasible assumed frequency modulation capacity in each time interval, and screens out the feasible assumed frequency modulation capacity in each time interval;
s4000), the main module analyzes the simulation result under each feasible assumed frequency modulation capacity in each sub-period, judges each advantage and disadvantage parameter of each feasible assumed frequency modulation capacity, and provides the optimal quasi-declared frequency modulation capacity in each sub-period for the simulation module;
s5000) the simulation module simulates the whole bidding period and simulates the starting and stopping states of all available units under the optimal quasi-declared frequency modulation capacity;
s6000) the main module calls the simulation result of the simulation module in the whole bidding period, analyzes the simulation result of the optimal to-be-declared frequency modulation capacity in the whole bidding period, confirms whether the optimal to-be-declared frequency modulation capacity is feasible or not, and generates a suggested to-be-declared frequency modulation capacity if the optimal to-be-declared frequency modulation capacity passes verification; otherwise execute S7000)
S7000) the main module corrects the optimal quasi-declared frequency modulation capacity by taking time intervals as units and sends the corrected optimal quasi-declared frequency modulation capacity to the simulation module for verification;
s8000) the main module calls the correction result of the simulation module to perform simulation check and analysis again, and if the correction result cannot pass the check, the correction mode is adjusted; and if the simulation result passes the verification, taking the corrected result as the optimal quasi-declared frequency modulation capacity, and executing the simulation again.
Compared with the prior art, the invention has the beneficial effects that:
the auxiliary decision method for the hydropower station participating in the optimal bidding declared capacity of the frequency modulation market obtains the time sequence change result of the starting and stopping state of each unit possibly caused by each assumed frequency modulation capacity by calling the simulation module, so that the feasibility and the quantitative advantages and disadvantages of each assumed frequency modulation capacity can be judged and compared with each other, and the originally divergent decision process is converged.
The invention provides an auxiliary decision method for the hydropower station participating in the optimal bidding capacity of the frequency modulation market, which adopts a mode of firstly determining the optimal quasi-bidding frequency modulation capacity of each time period, then checking the optimal quasi-bidding frequency modulation capacity in the whole bidding time period, and correcting according to a check result, and avoids the work of comparing the massive combination modes of various assumed frequency modulation capacities of different time periods through the step decomposition mode, thereby greatly reducing the calculated amount of a program.
The invention provides an auxiliary decision-making method for optimal declared capacity of hydropower station participating in frequency modulation market bidding, which can comprehensively consider factors such as the adjustable capacity of secondary frequency modulation of a power station, the frequency of start and stop, the number of units in a limited operation area, the operation duration and the like according to conditions such as the equipment working condition of the hydropower station, the planned active set value of the hydropower station, the waterhead prediction range, the scheduling and publishing secondary frequency modulation demand quantity and the like, and assist bidding decision-making personnel to perform auxiliary calculation on the optimal declared capacity of each time-sharing period of the hydropower station participating in frequency modulation market bidding so as to give consideration to double requirements of economic benefit and equipment safety; even though the decision process of bidding personnel cannot be completely replaced, the complex calculation work in the bidding process is completed by the simulation module and the main module by methods of eliminating infeasible frequency modulation capacity, quantizing the advantages and disadvantages parameters of feasible frequency modulation capacity and the like, and the work of determining the best reported frequency modulation capacity is greatly simplified.
Drawings
Fig. 1 is a main flow chart of an assistant decision method of the present invention.
Detailed Description
In the embodiment, the length of a bidding time-sharing segment of the hydropower station participating in the frequency modulation market is assumed to be 1 hour, that is, 24 time-sharing segments of 0: 00-0: 59, 1: 00-1: 59 … 23: 00-23: 59 on the next day are required to be declared in the bidding process, and each time-sharing segment has a frequency modulation capacity of 1 hour; the maximum declaration capacity of the power station participation bidding is 50% of the scheduling and publishing requirement, and the minimum declaration capacity is 15% of the scheduling and publishing requirement; the minimum variation amplitude of the declared capacity of the power station participating in bidding is 10 MW.
Referring to fig. 1, an assistant decision method for hydropower station participating in optimum capacity declaration in frequency modulation market bidding divides the whole function into a main module and a simulation module,
the main module calls the simulation module, judges and calculates the feasibility and the advantages and disadvantages of different assumed frequency modulation capacities by taking each time-sharing section as a unit according to the simulation result so as to assist bidding decision-makers to plan the optimal declared frequency modulation capacity of each time-sharing section and carry out feasibility verification, analysis and correction on the optimal declared frequency modulation capacity planned by the bidding decision-makers;
the simulation module simulates the starting and stopping states of all available units under each assumed frequency modulation capacity in each time interval according to the calling instruction of the main module, or simulates the starting and stopping states of all available units under the optimal quasi-declared frequency modulation capacity in the whole bidding time interval;
the method specifically comprises the following operations:
s1000) inputting various parameters required by aid of decision making to the main module, and performing primary processing by the main module, wherein the parameters comprise:
s1100), the input parameters comprise:
s1110) scheduling and publishing secondary frequency modulation demand capacity of each time interval in a bidding time interval;
s1120) the hydropower station active planning curve in the bidding period;
s1130) forecasting the waterhead range of each time point in the scaling section;
s1140) the range of different operation areas of each unit under each water head;
s1150) the available state of each unit in the bidding period;
s1160) a minimum variation amplitude of the secondary frequency modulation declared capacity, when the frequency modulation market has a relevant requirement for the minimum variation amplitude of the declared capacity, executing according to the relevant requirement, otherwise, manually setting, and assuming that the minimum variation amplitude is 10MW in the present embodiment;
s1200) carrying out primary processing on the input auxiliary decision parameters, wherein the obtained intermediate parameters comprise:
s1210) multiplying the secondary frequency modulation demand capacity of each time interval published by the scheduling by the maximum ratio allowed to be declared to obtain the maximum reportable capacity of each time interval, wherein the maximum reportable capacity of 1: 00-1: 59 is 100MW, and the maximum reportable capacity of 1: 00-1: 59 is 100MW multiplied by 50MW which is 50MW, if the secondary frequency modulation demand capacity of 1: 00-1: 59 published by the scheduling is 100 MW;
s1220) multiplying the secondary frequency modulation demand capacity of each time interval published by the scheduling by the minimum ratio allowed to be declared to obtain the minimum reportable capacity of each time interval, wherein the minimum reportable capacity of 1: 00-1: 59 is 100MW, and the minimum reportable capacity of 1: 00-1: 59 is 100MW multiplied by 15MW which is 15MW, assuming that the secondary frequency modulation demand capacity of 1: 00-1: 59 published by the scheduling is 100 MW; (ii) a
S1230) decomposing the active planning curve in the bidding time period to obtain the power station planning active setting value of each time point;
s1240) calculating each operation area range of each unit at each time point in the bidding period, wherein the water head of each time point is a prediction range, so the method comprises the following steps when determining each operation area range of each unit at each time point:
assuming that the predicted water head range is 193-204 m, and a certain unit is set by adopting a sectional water head, when the water head is 193m, 0-130 MW and 280-440 MW are forbidden operation areas, 130-280 MW is a limited operation area, and 440-650 MW is a recommended operation area; when the flood peak 204m, 0 ~ 140MW, 230 ~ 460MW are forbidding the operation district, and 140 ~ 230MW is the restriction operation district, and 460 ~ 650MW are the suggestion operation district:
s1241) the operable area of each unit comprises a limited operation area and a recommended operation area, wherein the operation priority of the latter is higher than that of the former;
s1242) listing upper limit ranges of the operation areas of the units corresponding to the predicted water head ranges, so that the upper limit of the operation area is limited to 280MW when the water head is 193m, and the upper limit of the operation area is recommended to be 650 MW; the upper limit of the operation region is limited to 230MW at the head 204m, and 650MW is recommended.
S1243) if the upper limit of a certain operation area is adjacent to an operation area or a forbidden operation area with lower operation priority or no adjacent operation area, the upper limit of the operation area is the lower limit boundary value of the upper limit range obtained in the S1242, and then when the waterhead prediction range is 193-204 m, the upper limit of the operation area is limited to 230MW and the operation upper limit of the operation area is recommended to be 650 MW;
s1244) if the upper limit of a certain operation area is adjacent to the operation area with higher operation priority, the upper limit of the operation area is the upper limit boundary value of the upper limit range obtained in the S2242;
s1245) listing the lower limit range of each operation area of each unit corresponding to the predicted water head range, so that the lower limit of the operation area is limited to 130MW when the water head is 193m, and the lower limit of the operation area is recommended to be 440 MW; the lower limit of the operation zone is limited to 140MW at the water head 204m, and the lower limit of the operation zone is recommended to be 460 MW.
S1246) if the lower limit of a certain operation area is adjacent to an operation area or a forbidden operation area with lower operation priority or no adjacent operation area, the lower limit of the operation area is the upper limit boundary value of the lower limit range obtained in S1245, so that when the waterhead prediction range is 193-204 m, the lower limit of the operation area is limited to 140MW, and the operation lower limit of the operation area is recommended to be 460 MW;
s1247) if the lower limit of a certain operation area is adjacent to the operation area of higher operation priority, the lower limit of the operation area is the lower limit boundary value of the lower limit range obtained in S1245.
The simulation of the simulation module is as follows:
s2100) simulation parameters of the simulation module comprise: at each time point, inputting a unit with the function of intelligent start-stop, the priority of start-stop of the unit, the range of each operation area of each unit and a planned active set value;
s2200) the main operation mechanism of the simulation module is a hydropower station intelligent start-stop technology, and the simulation module simulates and generates start-stop instructions on the basis of the number of the hydropower station units in the optimal power generation state by mainly considering various factors such as an active power plan curve, secondary frequency modulation reserved capacity, limited operation area, unit start-stop priority and the like.
Be different from operating condition, intelligence start-stop technique when being applied to emulation operating mode, the emulation setting that needs includes:
s2210) according to the active plan curve, assuming that the time interval of the active set value of the plan is 1 minute according to the fixed generation plan, and when the simulation module completes the calculation of one period, the simulation time is advanced for 1 minute;
s2220) when the simulation module simulates the startup and shutdown state in a specified time interval, the frequency modulation capacity after the time interval needs to be used, so the frequency modulation capacity of the last sub-period of the simulation time interval is used as the frequency modulation capacity after the simulation time interval, for example, the simulation module simulates the startup and shutdown state of 1: 00-1: 59 under the frequency modulation capacity of 100MW, the frequency modulation capacity of 2: 00-2: 59 is assumed to be also 100MW in the simulation process, the simulation result of the simulation module pair 2: 00-2: 59 is not influenced, and when the simulation module simulates 0: 00-23: 59, if the simulation frequency modulation capacity of 23: 00-23: 59 is 150MW, the frequency modulation capacity after the bidding period is also considered to be 150 MW;
s2230) when the simulation module simulates the start-up and shut-down state in a specified time interval, the simulation parameter after the time interval needs to be used, therefore, if the simulation time interval is the whole bidding time interval or the last sub-time interval, the simulation parameter at the last time point of the simulation time interval is taken as the simulation parameter after the simulation time interval, taking the planned active set value as an example, if the sub-time interval participating in the simulation is 1: 00-1: 59, when the planned active set value of 2: 00-2: 59 needs to be used in the simulation process, the planned active set value of 2: 00-2: 59 is directly called, but if the involved simulation is 0: 00-23: 59 or 23: 00-23: 59, the planned active set values after the simulation time interval are all the planned active set values of 23: 59;
s2240) the simulation module defaults that all the states are set to be available, and the units are put into an intelligent starting and stopping function;
s2250) the simulation module simulates an on-off state in a specified time interval, and depends on the start-up and off state of each unit in the time interval, so that it is required to calculate the default start-up and off state of each unit in the time interval according to the simulation parameters and the frequency modulation capacity at the first time point in the time interval, including the following steps:
s2251) assuming that n machine set states are available, namely n machine sets are put into the intelligent start-stop function, each machine set has 2 states of start-up and stop, and thus the total number of the machine sets is 2nA starting and stopping combined state is planted, if the 1 and 2 machine sets are put into an intelligent starting and stopping function, 4 combined states including starting of the 1 machine set and starting of the 2 machine set, stopping of the 1 machine set and starting of the 2 machine set, starting of the 1 machine set and stopping of the 2 machine set, stopping of the 1 machine set and stopping of the 2 machine set are provided;
S2252)2nunder the combined state of starting and stopping, for the set which is supposed to be in the starting state, the adjusting ranges of all the sets are combined to form a structure consisting of one section of continuous interval or multiple sections of continuous intervals depending on the ranges of the operating areas and the difference of the operating areas of the setsAssuming that the limited operation area of the machine 1 is 140-230 MW, the recommended operation area is 460-650 MW, the limited operation area of the machine 2 is 140-280 MW, and the recommended operation area is 430-650 MW, the active power adjustable range corresponding to each on-off combination state of S1451 is as shown in the following table:
s2253) from 2nThe planned active set value of the first time point is screened out from the start-stop combined state of the active power adjustable range in the start-stop combined state, and m total1If the time interval is 1: 00-1: 59 and the planned active setting value of 1:00 is 500MW, 3 startup and shutdown combined states are screened out, namely, the machine 1 is started up and the machine 2 is started up, the machine 1 is stopped and the machine 2 is started up, and the machine 1 is started up and the machine 2 is stopped;
s2254) to m1When the combined start-up and shutdown state is adopted, the upper limit and the lower limit of a certain continuous interval of an active power adjustable range containing the set value are subtracted from a planned active set value of a power station at a first time point, and the minimum absolute value of the absolute values of the two results is the adjustable secondary frequency modulation capacity of the combined start-up and shutdown state, the adjustable secondary frequency modulation capacity of the machine 1 when the machine is started up and the machine 2 when the machine 2 is started up is 10MW (510MW minus 500MW), the adjustable secondary frequency modulation capacity of the machine 1 when the machine set 1 is shutdown and the machine set 2 is started up is 70MW (500MW minus 430MW), and the adjustable secondary frequency modulation capacity of the machine 1 when the machine set 1 is started up and the machine set 2 is shutdown is 40MW (500MW minus 460 MW);
s2255) multiplying the secondary frequency modulation demand capacity published by the scheduling by the maximum ratio allowed to be declared to obtain the maximum reportable frequency modulation capacity, and assuming that the secondary frequency modulation demand capacity published by the scheduling is 200MW, the maximum reportable frequency modulation capacity is 200MW multiplied by 50% and is 100 MW;
s2256) converting m obtained in S22541Comparing the secondary frequency modulation adjustable capacity in the combined starting and stopping state with the maximum reportable capacity of S2255;
s2257) if m1Starting and stopping combined stateThe start-up and shut-down combined state with the maximum secondary frequency modulation adjustable capacity is selected from the start-up and shut-down combined states with the maximum secondary frequency modulation adjustable capacity, or one of the start-up and shut-down combined states with the maximum secondary frequency modulation adjustable capacity is randomly selected from the start-up and shut-down combined states with the maximum secondary frequency modulation adjustable capacity, the default start-up and shut-down state of each unit in the time interval is used as the default start-up and shut-down state of each unit, the start-up and shut-down combined state of the unit 1 with the maximum secondary frequency modulation adjustable capacity and the set 2 with the maximum secondary frequency modulation adjustable capacity is selected as the default start-up and shut-down state of the unit 1 with the maximum secondary frequency modulation adjustable capacity and the set 2 with the maximum secondary frequency modulation adjustable capacity is smaller than the maximum reportable frequency modulation capacity because the secondary frequency modulation adjustable capacity of the unit 1 when the unit is started;
s2258) if not all m1When the secondary frequency modulation adjustable capacity of the combined starting and stopping state is smaller than the maximum reportable capacity, the secondary frequency modulation adjustable capacity is m1Screening m with secondary frequency modulation adjustable capacity more than or equal to maximum reportable capacity in startup and shutdown combined state2In a startup and shutdown combined state;
s2259) from m2And selecting the start-up and shut-down combination state with the least start-up number from the various start-up and shut-down combination states, or randomly selecting one from the start-up and shut-down combination states with the least start-up number as the default start-up and shut-down state of each unit in the time interval.
S2260) the simulation module defaults that all the intelligent start-up and shut-down instructions are executed, and the start-up and shut-down state of the corresponding unit is in T executed by the intelligent start-up and shut-down instructions1After a time interval, T is assumed in this embodiment1Taking 1: 00-1: 59 as an example, the default initial startup and shutdown state at 1:00 is that the unit 1 is shut down and the unit 2 is started up, two intelligent startup and shutdown instructions are obtained in the whole time interval, the two intelligent startup and shutdown instructions are respectively 1:20 for executing the startup instruction on the unit 1, 1:56 for executing the shutdown instruction on the unit 2, and the simulation startup and shutdown states of the unit 1 and the unit 2 in 1: 00-1: 59 are respectively 1)1: 00-1: 24, and the unit 1 is shut down and the unit 2 is started up; 2)1: 25-1: 59, the unit 1 is started and the unit 2 is started.
S2270) the simulation module defaults that the starting-up and shutdown priorities of all the units are arranged from small to large according to the unit sequence numbers, and practically, any given default sequencing of the starting-up and shutdown priorities does not influence the simulation result.
S2300) calling the simulation module by the main module to simulate the starting and stopping states of each available unit in different time periods under different assumed frequency modulation capacities, wherein the simulation comprises the following steps:
s2310) the main module inputs the time-sharing period and the simulation parameters of a time-sharing period after the time-sharing period into the simulation module, and if the time-sharing period is the last time-sharing period in the bidding time-sharing period, referring to S2230;
s2320) the main module takes the maximum reportable capacity of the time period as the assumed frequency modulation capacity to input into the simulation module and starts simulation;
s2330) the simulation module calculates the default starting and stopping states of each unit at the beginning of the time interval according to the step S2250;
s2340) calculating the intelligent start-up and shut-down instruction in the time interval by the simulation module, and obtaining T of the intelligent start-up and shut-down instruction every time according to S22601After the time interval, the starting and stopping states of the corresponding units are changed;
s2350) the simulation module outputs the assumed frequency modulation capacity and the simulation start-stop state of each unit in the corresponding time interval to the main module;
s2360) the master module subtracts the minimum variation width of the secondary fm declaration capacity from the assumed fm capacity to obtain a new assumed fm capacity:
s2361) if the new assumed frequency modulation capacity is smaller than the minimum reportable capacity, the simulation of the starting and stopping states of all the available units in the time interval is finished;
s2362) if the new hypothetical chirp capacity is equal to or greater than the minimum reportable capacity, the main module inputs the new hypothetical chirp capacity to the simulation module, restarts the simulation, and executes the steps subsequent to S2330.
According to S2360, when the maximum reportable capacity of the time interval is 50MW and the minimum reportable frequency modulation capacity is 15MW, the simulation module respectively simulates the conditions of the assumed frequency modulation capacities of 50MW, 40MW, 30MW and 20MW, and returns 4 sets of simulated start-stop states of each unit in the time interval corresponding to different assumed frequency modulation capacities.
S3000) the main module analyzes the simulation result under each assumed frequency modulation capacity in each time interval, eliminates the impossible assumed frequency modulation capacity in each time interval, screens out the feasible assumed frequency modulation capacity in each time interval, and takes a certain assumed frequency modulation capacity in a certain time interval as an example, the method comprises the following steps:
s3100) analyzing the matching of the secondary frequency modulation adjustable capacity and the assumed frequency modulation capacity, wherein the analysis comprises the following steps:
s3110) calculating the secondary frequency modulation adjustable capacity at all time points based on the simulated on-off state of each unit in the time interval, wherein the calculation comprises the following steps:
s3111) listing combination modes of all the units in the startup state in different operation areas according to the simulated startup and shutdown states of the units at each time point, wherein the number of the combination modes is a product of the number of the operation areas of all the units in the startup state, and if the 1 and 2 machines are in the startup state, the 2 units are provided with 1 restricted operation area and 1 proposed operation area, the combination modes comprise that the 1 and 2 machine groups are in the restricted operation area, the 1 and 2 machine groups are in the proposed operation area, the 1 machine group is in the restricted operation area and the 2 machine group is in the proposed operation area, the 1 machine group is in the proposed operation area and the 2 machine group is in the restricted operation area;
s3112) calculating at each time point, S3111 listing a combined running interval corresponding to each combination mode, where the combined running interval is calculated in such a manner that a lower limit of the combined running interval is a sum of lower limits of running areas in which the power-on state units in the combination mode are located, an upper limit of the combined running interval is a sum of upper limits of running areas in which the power-on state units in the combination mode are located, and then the combined running intervals corresponding to the 4 combination modes listed in S3111 are respectively: 280-510 MW, 890-1300 MW, 570-880 MW and 600-930 MW;
s3113) merging all combined running intervals obtained in S3112 at each time point to obtain an active power adjustable range at each time, namely 280-510 MW and 570-1300 MW, which is formed by one continuous interval or multiple continuous intervals;
s3114) for each time point, if the scheduled active setting value of the time point is not included in the active power adjustable range, the secondary frequency modulation adjustable capacity of the time point is 0;
s3115) for each time point, if the planned active power set value of the time point is within the active power adjustable range, subtracting the upper limit and the lower limit of a certain continuous interval of the active power adjustable range including the set value from the planned active power set value of the time point, wherein the smallest absolute value of the absolute values of the two results is the secondary frequency modulation adjustable capacity of the time point, and if the planned active power set value is 1200MW, 1200MW is within the range of 570-1300 MW, so that the secondary frequency modulation adjustable capacity is 100 MW;
s3120) comparing the secondary frequency modulation tunable capacity at all time points of the time period with the assumed frequency modulation capacity, if the secondary frequency modulation tunable capacity at a certain time point of the time period is smaller than the assumed frequency modulation capacity, the assumed frequency modulation capacity is infeasible assumed frequency modulation capacity, if the secondary frequency modulation tunable capacity at a certain time point is 100MW, and if the frequency modulation capacity is 50MW, the assumed frequency modulation capacity is feasible, and if the frequency modulation capacity is 150MW, the assumed frequency modulation capacity is obviously infeasible.
S3200) judging the simulated start-stop state of each unit at all time points of the time period, specifically, marking the time points when the simulated start-stop state of a certain unit changes, and calculating the time interval between the marked time points, if the time interval between two marked time points is less than T2It is not feasible to assume the hypothetical fm capacity, which assumes T in this embodiment, as it would result in too frequent on-off operations2In 5 minutes, the simulation start-up and shut-down states of each unit of 1: 00-1: 10 are assumed as follows: the machine set 1 is shut down, the machine set 2 is started up, and the machine set 3 is started up; the simulation start-up and shut-down states of the units from 1:11 to 1:18 are as follows: starting the No. 1 unit, starting the No. 2 unit and starting the No. 3 unit; the simulation start-up and shut-down states of the units from 1:19 to 1:22 are as follows: the machine set 1 is shut down, the machine set 2 is started up, and the machine set 3 is started up; the simulation start-up and shut-down states of the units from 1:23 to 1:59 are as follows: no. 1 unit halt, No. 2 unit halt and No. 3And when the unit is started, the time points of the change of the combined start-up and shut-down state are respectively 1:11, 1:19 and 1:23, wherein the time interval between 1:19 and 1:23 is less than 5 minutes, and then the frequency modulation capacity is not feasible.
S3300) judging the simulated start-up and shut-down states of each unit at all time points of the time period, specifically, marking the time points of the change of the simulated start-up and shut-down states of each unit respectively, if a certain unit has two or more times of simulated start-up and shut-down state changes in the time period, and the time interval between two adjacent state changes is less than T3It is not feasible to assume the assumed fm capacity, which is assumed to be T in this embodiment, because the assumed fm capacity would cause the unit to operate on and off too frequently3And for 10 minutes, similarly taking the working condition assumed in S3200, so that the time points of the change of the start-up and shut-down states of the unit 1 are 1:11 and 1:19 respectively, and the time point of the change of the start-up and shut-down states of the unit 2 is 1:23, wherein the time interval between 1:11 and 1:19 is less than 10 minutes, and then assuming that the frequency modulation capacity is not feasible.
S3400) the above three determination manners of S3100 to S3300, if none of the assumed fm capacity is deemed to be the infeasible assumed fm capacity in the time period, the assumed fm capacity is the feasible assumed fm capacity, otherwise, the assumed fm capacity is the infeasible assumed fm capacity.
S4000) the main module analyzes the simulation result of each feasible hypothetical frequency modulation capacity in each time interval, calculates each advantage parameter of each feasible hypothetical frequency modulation capacity, and provides a bidding decision-maker to select the best quasi-declared frequency modulation capacity in each time interval, taking a certain hypothetical frequency modulation capacity of a certain time interval as an example, the method comprises the following steps:
s4100) calculating the simulation start-stop machine times in the time interval, wherein the simulation start-stop state of a certain machine set is changed from start-up to stop or from stop to start-up, namely, 1 simulation start-stop machine occurs, and 3 simulation start-stop machines occur in 1: 00-1: 59 under the working condition assumed by S3200;
s4200) calculating the weighted number of the units in the time-sharing period in the limited operation area, including:
s4210) calculating corresponding combined operation areas when the units in different starting states are in the limited operation area for each time point in the time division period, wherein the combined operation areas respectively comprise:
s4211) listing the combination modes of all startup state units in different operation areas, wherein the number of the combination modes is the multiplication product of the number of the operation areas of the startup state units, and if the 1 and 2 machines are in startup states, the 2 machines all have 1 restricted operation area and 1 recommended operation area, the combination modes comprise that the 1 and 2 machine groups are in the restricted operation area, the 1 and 2 machine groups are in the recommended operation area, the 1 machine group is in the restricted operation area and the 2 machine group is in the recommended operation area, the 1 machine group is in the recommended operation area and the 2 machine group is in the restricted operation area;
s4212) calculating a combined operation interval corresponding to each combination listed in S4211, where the combined operation interval is calculated in such a manner that a lower limit of the combined operation interval is a sum of lower limits of operation areas in which each power-on state unit is located in the combination, and an upper limit of the combined operation interval is a sum of upper limits of operation areas in which each power-on state unit is located in the combination, and then the combined operation intervals corresponding to 4 combination listed in S4211 are: 280-510 MW, 890-1300 MW, 570-880 MW and 600-930 MW; (ii) a
S4213) calculating the number of the units in the limited operation area in each combination mode, which corresponds to each combination mode listed in S5211, and the number of the units is 2, 0, 1 and 1;
s4214) merging the combination modes with the same number of the units in the restricted operation area obtained in S4213, and solving a union set of all the combined operation areas obtained in S4212 participating in merging to obtain the corresponding combined operation areas F when different numbers of the units are in the restricted operation area0、F1、F2Where i is the number of units in the restricted operating zone, then F0=[890,1300]、F1=[570,930]、F2=[280,510]。
S4220) calculating the weighted number of the units in the limited operation area under the feasible assumed frequency modulation capacity by dividing each time point in the time interval, wherein the weighted number comprises the following steps:
s4221) calculating a secondary frequency modulation adjusting range, wherein the upper limit of the secondary frequency modulation adjusting range is the planned active setting value of the power station plus the feasible assumed frequency modulation capacity, the lower limit of the secondary frequency modulation adjusting range is the planned active setting value of the power station minus the feasible assumed frequency modulation capacity, the planned active setting value at the time point is assumed to be 800MW, and the secondary frequency modulation adjusting range is assumed to be 600-1000 MW if the frequency modulation capacity is 200 MW;
s4222) establishing variable x0、x1、x2……
S4223) calculating the secondary frequency modulation adjusting range of the time point and a combined operation area F obtained in S4214 when 0 unit is in the limited operation area0The intersection of (A) is [890, 1000]And calculating the coverage x of the intersection0=110;
S4223) if the secondary frequency modulation adjusting range is deducted from S5214, obtaining a combined operation area F when 0 unit is in the limited operation area0If the latter set is not an empty set, the set not being an empty set and the combined operation region F obtained in S5214 when 1 machine set is in the limited operation region are continuously obtained1The intersection of (a) is [600, 890]And calculating the coverage x of the intersection1=290;
S4224) continuing the process until the secondary frequency modulation adjustment range is deducted;
s4225) the weighting number of the unit in the limited operation area isWhere r is the number of units in the restricted operating zone,is the upper limit of the secondary frequency modulation adjusting range, fpfor the lower limit of the secondary frequency modulation adjusting range, the weighting quantity of the unit in the limited operation area is
S4230) summing the weighted number of the units in the restricted operation zone at each time point in the time segment, and then multiplying the sum by the time interval between two adjacent time points, i.e. the weighted number of the units in the restricted operation zone at the time segment, where it is assumed that the weighted number of the units in the restricted operation zone at 60 time points of 1:00 to 1:59 is 0.725, and then the weighted number of the units in the restricted operation zone of 1:00 to 1:59 is 0.725 × 60 × 1 — 43.5;
s4300) calculating a comprehensive good/bad parameter, wherein the good/bad parameter is equal to the starting/stopping times multiplied by eta of the sub-period obtained by S41001+ S4200 obtaining the weighted number of the time-share unit in the limited operation zone multiplied by η2Wherein eta1、η2Are weight parameters, respectively, it is eta that needs to be accounted for1、η2The setting of the weight parameters is subjective work, the two coefficients respectively represent the damage degree of the unit caused by the fact that the unit is started and stopped for 1 time and the unit is in a limited operation area for 1 minute, and the damage degree or the relative proportion of the damage degree needs to be completely and objectively quantified with remarkable cost expenditure, so that the work which cannot be finished by all hydropower stations is undoubtedly carried out, and therefore the two weight parameters can be subjectively set by personnel within a certain accurate range only according to operation management experience.
S4400) the results obtained in S4100 to S4300 are 3 goodness parameters for the bidding decision-maker to compare the rationality of each feasible hypothetical frequency modulation capacity in the time period, and the smaller the parameter is, the more rational the feasible hypothetical frequency modulation capacity is, it should be noted that although the goodness parameter of each feasible hypothetical frequency modulation capacity is obtained, determining the most rational hypothetical frequency modulation capacity is still a very subjective task which is difficult to be defined by the automation system, especially when the goodness parameter smoothly changes along with the change of the hypothetical frequency modulation capacity, and therefore, the determination can only be subjectively determined by the bidding decision-maker.
S5000), calling a simulation module by a main module to simulate the starting and stopping states of all available units under the optimal quasi-declared frequency modulation capacity in the whole bidding period:
s5100) the main module inputs simulation parameters in the whole bidding period into the simulation module;
s5200) the main module inputs the optimal quasi-declaration frequency modulation capacity of all the time intervals into the simulation module;
s5300) the simulation module calculates the initial default startup and shutdown state of each unit in the bidding period according to the step S2250; s5400) the simulation module calculates the intelligent start-up and shut-down instruction in the whole bidding period, and obtains the T of the intelligent start-up and shut-down instruction every time according to S22601After the time interval, the starting and stopping states of the corresponding units are changed;
s5400) the simulation module outputs the simulated start-up and shut-down states of all the units in the whole bidding period to the main module.
S6000) the main module analyzes the simulation result of the optimal quasi-declared frequency modulation capacity in the whole bidding period, and confirms whether the optimal quasi-declared frequency modulation capacity is feasible or not, wherein the steps comprise:
s6100) analyzing the matching of the secondary frequency modulation adjustable capacity and the optimal quasi-declared frequency modulation capacity in the whole bidding period with reference to S3100, if the secondary frequency modulation adjustable capacity of a certain time point or certain time points in the bidding period is less than the optimal quasi-declared frequency modulation capacity, the optimal quasi-declared frequency modulation capacity is not feasible, and the 1 st time point of which the secondary frequency modulation adjustable capacity is less than the optimal quasi-declared frequency modulation capacity is recorded as a time scale t1;
S6200) judging the simulated start-stop state of each unit in the whole bidding period, specifically, marking the time points when the simulated start-stop state of a certain unit changes, and calculating the time interval between the marked time points, wherein if the time interval between two marked time points is less than T2The optimal proposed fm capacity is deemed to result in too frequent shutdowns of the hydroelectric power plant to be feasible, and the most advanced time interval in time is recorded to be less than T2The 2 nd time point of the pair of marked time points is the time scale t2;
S6300) judging the simulated start-stop state of each unit at all time points in the whole bidding period, specifically, marking the time points of the change of the simulated start-stop state of each unit respectively, if a certain unit has two or more times of simulated start-stop state changes in the time period, and the time interval between two adjacent state changes is less than T3Then the best is consideredThe proposed fm capacity results in too frequent start-up and shut-down operations of the unit, which is not feasible, and records that the most advanced time interval in time is less than T3The time point of the 2 nd state change in the two state changes of a certain unit is a time scale t3;
S6400) if the optimal quasi-declared frequency modulation capacity is not considered to be feasible by the three judgment modes from S6100 to S6300, the optimal quasi-declared frequency modulation capacity passes verification to become a recommended declared frequency modulation capacity, and the auxiliary decision flow is ended;
s6500) three judging modes of S6100 to S6300, if 1 or more judging modes exist, the best declared frequency modulation capacity is considered to be infeasible, the best declared frequency modulation capacity needs to be corrected, and the time scale t possibly generated is used1、t2、t3The most advanced time scale in time is selected as the modified target time scale t, assuming t generated in S61001S6200 does not consider this optimal pseudonymous fm capacity infeasible at 3:10, t generated by S630036:30, t is 3: 10;
s6600) according to the corrected target time mark t, determining the time interval in which the best quasi-declared frequency modulation capacity needs to be corrected in the bidding time interval, comprising:
s6610) determining the time segment to which the correction target time scale t belongs, namely the time segment to which the best quasi-declared frequency modulation capacity needs to be corrected, wherein t is 3:10, namely 3: 00-3: 59, the time segment to which the best quasi-declared frequency modulation capacity needs to be corrected;
s6620) comparing the modified target time scale T with the start time point of the time segment to which the modified target time scale T belongs, if the time interval between the two is less than T4And the time segment to which the corrected target time mark T belongs is not the 1 st sub-segment in the bidding time segment, the previous sub-segment of the time segment to which the corrected target time mark T belongs also becomes the sub-segment to which the best quasi-declared fm capacity needs to be corrected, and this embodiment assumes that T4The time is 15 minutes, so 2: 00-2: 59 also becomes a time-sharing period needing to correct the optimal quasi-declared frequency modulation capacity;
s6700) sets the correction amplitude coefficient j equal to 1 and the variable k equal to 0 for correcting the optimal pseudodeclared fm capacity.
S7000) the main module corrects the optimal quasi-declared frequency modulation capacity by taking the time interval as a unit, and the method comprises the following steps:
s7100) if the time period determined at S6600 to be corrected for the optimal proposed fm capacity is only 1, then the correcting step comprises:
s7110) subtracting j x from the sub-period optimal quasi-declared frequency modulation capacity needing to correct the optimal quasi-declared frequency modulation capacity;
s7120) if the time-interval optimal quasi-declared frequency modulation capacity minus jx is less than 0, terminating the auxiliary decision process and reporting an error;
s7130) if the time-interval optimal quasi-declaration frequency modulation capacity minus jx is more than or equal to 0, turning to S8000 to perform simulation check sum analysis on the correction result.
S7200) if 2 time segments determined at S6600 requiring correction of the optimal pseudodeclared fm capacity are present, the correcting step comprises:
s7210) subtracting kX from the optimal quasi-declared frequency modulation capacity in the previous time interval in two time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected;
s7220) subtracting (j-k) x from the optimal quasi-declared frequency modulation capacity in the next time interval in two time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected;
s7230) if the results of the two time-interval optimal quasi-declared frequency modulation capacities which need to correct the optimal quasi-declared frequency modulation capacity are less than 0 after the correction of S7200, or one of the two results is less than 0 and the other result is equal to 0, terminating the auxiliary decision flow and reporting an error;
s7240) if the two time-interval optimal quasi-declared frequency modulation capacities which need to correct the optimal quasi-declared frequency modulation capacity are corrected by the S7200, one of the two results is less than 0, and the other result is greater than 0, judging variables k and j:
s7241) if k < j, k ═ k +1, and jump to S7200;
s7242) if k is j, k is 0, j is j +1, and go to S7200.
S7250) if the results of the two time-interval optimal quasi-declaration frequency modulation capacities which need to correct the optimal quasi-declaration frequency modulation capacity are both more than or equal to 0 after the correction of S7200, turning to S8000 to perform simulation check and analysis on the correction results.
S8000) the main module carries out simulation check and analysis on the correction result of S7000 and determines the subsequent steps according to the analysis result, including:
s8100) the main module takes the 1 st time segment of the bidding time interval until the time segment to which the target time mark t belongs as the time interval needing to be verified, which is called the verification time interval;
s8200) the main module inputs the sub-periods contained in the verification period and simulation parameters in the sub-periods related to the verification period into the simulation module;
s8300) the main module inputs the frequency modulation capacity needing to be checked into the simulation module:
s8310) directly inputting the optimal quasi-declared frequency modulation capacity into a simulation module for a time period in which the optimal quasi-declared frequency modulation capacity does not need to be corrected;
s8320) for the time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected, if the time intervals are only 1, inputting the frequency modulation capacity processed by the S7110 into a simulation module;
s8330) for the time intervals needing to correct the optimal quasi-declared frequency modulation capacity, if the time intervals are 2, inputting the frequency modulation capacity processed in S7210 and S7220 into a simulation module;
s8400) the simulation module calculates the default starting and stopping states of each unit at the beginning of the verification time period according to the step S2250;
s8500) the simulation module calculates the intelligent start-stop instruction in the whole verification period and obtains the T of the intelligent start-stop instruction each time1After the time interval, the starting and stopping states of the corresponding units are changed;
s8600) the simulation module outputs the simulation start-up and shut-down states of all the units in the whole verification period to the main module;
s8700) analyzing the simulation result of the whole verification period by referring to S3000, judging whether the frequency modulation capacity input by S8300 is feasible, and performing the following steps according to the judgment result:
s8710) if the result is feasible, correcting the optimal quasi-declared frequency modulation capacity to be the frequency modulation capacity of the S8300 input simulation module, jumping to S5000, and calling the simulation module again to simulate the start-stop state of each available unit under the corrected optimal quasi-declared frequency modulation capacity in the whole bidding period;
s8720) if the result is not feasible and the time period determined by S6600 to be corrected for the optimal proposed fm capacity is only 1, j equals j +1, and jumps to S7100;
s8730) if the result is not feasible and the time period determined by S6600 needing to correct the optimal quasi-declared FM capacity is 2, judging the variables k and j:
s8731) if k < j, k ═ k +1, and jump to S7200;
s8732) if k equals j, k equals 0, j equals j +1, and jumps to S7200.
In the above S7000 and S8000, it is assumed that there are 2 time segments, which are 2:00 to 2:59 (the optimal quasi-declared fm capacity is 200MW in a time segment) and 3:00 to 3:59 (the optimal quasi-declared fm capacity is 150MW in a time segment), which need to correct the optimal quasi-declared fm capacity, and the variables k and j when the final verification passes are 2 and 3, respectively, so that the correction process is as shown in the following table:
the embodiments given above are preferable examples for implementing the present invention, and the present invention is not limited to the above-described embodiments. Any non-essential addition and replacement made by the technical characteristics of the technical scheme of the invention by a person skilled in the art belong to the protection scope of the invention.
Claims (10)
1. An auxiliary decision method for enabling frequency modulation market hydropower stations to participate in optimal bidding declared capacity of a frequency modulation market is characterized in that an auxiliary decision is generated on the basis of a main module and a simulation module, and comprises the following operations:
s1000) the main module receives various parameters required by the aid of decision making and carries out primary processing;
s2000) the simulation module receives simulation parameters of the auxiliary decision according to the calling instruction of the main module, and then simulates the starting and stopping states of all available units under all assumed frequency modulation capacities in all time intervals;
s3000) the main module analyzes the simulation result under each assumed frequency modulation capacity in each time interval, eliminates the infeasible assumed frequency modulation capacity in each time interval, and screens out the feasible assumed frequency modulation capacity in each time interval;
s4000), the main module analyzes the simulation result under each feasible assumed frequency modulation capacity in each sub-period, judges each advantage and disadvantage parameter of each feasible assumed frequency modulation capacity, and provides the optimal quasi-declared frequency modulation capacity in each sub-period for the simulation module;
s5000) the simulation module simulates the whole bidding period and simulates the starting and stopping states of all available units under the optimal quasi-declared frequency modulation capacity;
s6000) the main module calls the simulation result of the simulation module in the whole bidding period, analyzes the simulation result of the optimal to-be-declared frequency modulation capacity in the whole bidding period, confirms whether the optimal to-be-declared frequency modulation capacity is feasible or not, and generates a suggested to-be-declared frequency modulation capacity if the optimal to-be-declared frequency modulation capacity passes verification; otherwise, executing S7000);
s7000) the main module corrects the optimal quasi-declared frequency modulation capacity by taking time intervals as units and sends the corrected optimal quasi-declared frequency modulation capacity to the simulation module for verification;
s8000) the main module calls the verification result of the simulation module to perform simulation verification and analysis again, and if the verification cannot pass, the correction mode is adjusted; and if the simulation result passes the verification, taking the corrected result as the optimal quasi-declared frequency modulation capacity, and executing the simulation again.
2. A method as claimed in claim 1, wherein the step S1000) of receiving parameters required for assisting the decision by the main module comprises:
scheduling and publishing secondary frequency modulation demand capacity of each time interval in a bidding time interval, an active planning curve of a hydropower station in the bidding time interval, a water head prediction range of each time point in the bidding time interval, the range of different operation areas of each unit under each water head, the available state of each unit in the bidding time interval and the minimum variation amplitude of secondary frequency modulation declaration capacity;
the main module performs primary processing on the input aid decision parameters to obtain the following intermediate parameters:
s1210) multiplying the secondary frequency modulation demand capacity of each time interval published by the scheduling by the maximum ratio allowed to be declared to obtain the maximum reportable capacity of each time interval;
s1220) multiplying the secondary frequency modulation demand capacity of each time interval published by the scheduling by the minimum ratio allowed to be declared to obtain the minimum reportable capacity of each time interval;
s1230) decomposing the active planning curve in the bidding time period to obtain the power station planning active setting value of each time point;
s1240) calculating each operation area range of each unit at each time point in the bidding period:
s1241) an operable area of each unit including a limited operation area and a suggested operation area, wherein the operation priority of the latter is higher than that of the former;
s1242) listing upper limit ranges of all operation areas of all units corresponding to the predicted water head ranges;
s1243) if the upper limit of a certain operation area is adjacent to an operation area or a prohibited operation area with a lower operation priority, or there is no adjacent operation area, the upper limit of the operation area is the lower limit boundary value of the upper limit range obtained in S1242;
s1244) if the upper limit of a certain operation area is adjacent to the operation area with higher operation priority, the upper limit of the operation area is the upper limit boundary value of the upper limit range obtained in the S1242;
s1245) listing the lower limit range of each operation area of each unit corresponding to the predicted water head range;
s1246) if the lower limit of a certain operation area is adjacent to an operation area or a forbidden operation area with lower operation priority or has no adjacent operation area, the lower limit of the operation area is the upper limit boundary value of the lower limit range obtained in S1245;
s1247) if the lower limit of a certain operation area is adjacent to the operation area of higher operation priority, the lower limit of the operation area is the lower limit boundary value of the lower limit range obtained in S1245.
3. An aid decision method for a hydroelectric power station to participate in bidding on best declared capacity in a frequency modulated market according to claim 1, wherein the simulation parameters received by the simulation module in step S2000 comprise: at each time point, inputting a unit with the function of intelligent start-stop, the priority of start-stop of the unit, the range of each operation area of each unit and a planned active set value;
the simulation module defaults that all the states are set as available units and the units are put into intelligent startup and shutdown; when the simulation module simulates the on-off state in a specified time interval, the frequency modulation capacity of the last sub-period of the simulation time interval is used as the frequency modulation capacity after the simulation time interval; if the simulation time interval is the whole bidding period or the last sub-period, taking the simulation parameter of the last time point of the simulation time interval as the simulation parameter after the simulation time interval;
the simulation module defaults that all the intelligent start-up and shut-down instructions are executed, and the start-up and shut-down state of the corresponding unit is in T executed by the intelligent start-up and shut-down instructions1After a time interval, T1The time parameter is set for the average time required by the reference unit to actually start and stop;
the simulation module defaults that the starting-up and shutdown priorities of all the units are arranged from small to large according to the unit serial numbers;
when the simulation module simulates the start-up and shut-down state in a specified time interval, the default initial start-up and shut-down state of each unit in the time interval is calculated according to the simulation parameters and the frequency modulation capacity of the first time point of the time interval, and the method comprises the following steps:
s2251) assuming that n machine set states are available, namely n machine sets are put into the intelligent starting and stopping function, each machine set has 2 states of starting and stopping, and the total number is 2nPlanting a startup and shutdown combined state;
S2252)2nin the combined starting and stopping state, for the set which is supposed to be in the starting state, the adjusting ranges of all the sets are combined to form an active power adjustable range consisting of one section of continuous interval or a plurality of sections of continuous intervals;
s2253) from 2nIn the start-up and shut-down combined state, the planned active set value at the first time point is screened out to be included in the start-up and shut-down combined state of the active power adjustable range, and m total1Seed growing;
s2254) to m1The method comprises the following steps of (1) generating a startup and shutdown combined state, subtracting an upper limit and a lower limit of a certain continuous interval of an active power adjustable range containing a set value from a power station planning active set value at a first time point, and taking the minimum of absolute values of two results as a secondary frequency modulation adjustable capacity of the startup and shutdown combined state;
s2255) multiplying the secondary frequency modulation demand capacity published by the scheduling by the maximum ratio allowed to be declared to obtain the maximum reportable frequency modulation capacity;
s2256) comparing m obtained in S2254)1Comparing the secondary frequency modulation adjustable capacity in the combined starting and stopping state with the maximum reportable capacity of S2255);
s2257) if m1If the secondary frequency modulation adjustable capacity of the starting and stopping combined state is smaller than the maximum reportable capacity, selecting the starting and stopping combined state with the maximum secondary frequency modulation adjustable capacity from the starting and stopping combined state, or randomly selecting one from the starting and stopping combined state with the maximum secondary frequency modulation adjustable capacity as the default starting and stopping state of each unit in the time interval;
s2258) if not all m1When the secondary frequency modulation adjustable capacity of the combined starting and stopping state is smaller than the maximum reportable capacity, the secondary frequency modulation adjustable capacity is m1Screening m with secondary frequency modulation adjustable capacity more than or equal to maximum reportable capacity in startup and shutdown combined state2In a startup and shutdown combined state;
s2259) from m2And selecting the start-up and shut-down combination state with the least start-up number from the various start-up and shut-down combination states, or randomly selecting one from the start-up and shut-down combination states with the least start-up number as the default start-up and shut-down state of each unit in the time interval.
4. An aid decision method for a hydropower station to participate in a competitive bidding optimum declared capacity of a frequency modulated market according to claim 3, wherein the simulation of the parameters sent by the main module by the simulation module is as follows:
s2310) the main module inputs the time segment and the simulation parameters of a time segment after the time segment into the simulation module, and if the time segment is the last time segment in the bidding time segment, the simulation parameters of the last time point of the time segment are used as the simulation parameters of a time segment after the time segment;
s2320) the main module takes the maximum reportable capacity of the time period as the assumed frequency modulation capacity to input into the simulation module and starts simulation;
s2330) the simulation module calculates the initial default starting and stopping state of each unit in the time interval;
s2340) calculating the intelligent start-up and shutdown instruction in the time interval by the simulation module, and obtaining T of the intelligent start-up and shutdown instruction each time1After a time interval, the start-stop state of the respective unit is changed, T1The time parameter is set for the average time required by the reference unit to actually start and stop;
s2350) the simulation module outputs the assumed frequency modulation capacity and the simulation start-stop state of each unit in the corresponding time interval to the main module;
s2360) the master module subtracts the minimum variation width of the secondary fm declaration capacity from the assumed fm capacity to obtain a new assumed fm capacity:
s2361) if the new assumed frequency modulation capacity is smaller than the minimum reportable capacity, the simulation of the starting and stopping states of all the available units in the time interval is finished;
s2362) if the new hypothetical tuning capacity is greater than or equal to the minimum reportable capacity, the master module inputs the new hypothetical tuning capacity to the simulation module and restarts the simulation.
5. An aid decision method for a hydropower station participating in a competitive optimal declared capacity of a frequency modulated market according to claim 1, wherein the step S3000) of screening out the feasible hypothetical frequency modulation capacity in each time segment by the main module comprises:
s3100) analyzing the matching of the secondary frequency modulation adjustable capacity and the assumed frequency modulation capacity:
s3110) calculating the secondary frequency modulation adjustable capacity at all time points based on the simulation on-off state of each unit in the time interval;
s3120) comparing the secondary frequency modulation adjustable capacity of all time points of the time interval with the assumed frequency modulation capacity, and if the secondary frequency modulation adjustable capacity of a certain time point of the time interval is smaller than the assumed frequency modulation capacity, the assumed frequency modulation capacity is the unavailable assumed frequency modulation capacity;
s3200) judging the simulation start-stop state of each unit at all time points of the time period: marking the time points of the change of the simulated start-up and shut-down state of a certain unit, and calculating the time interval between the marked time points; if the time interval between some two marked time points is less than T2Then the hypothetical FM capacity is deemed infeasible, wherein T2Time parameters set for avoiding the power station from being operated frequently;
s3300) judging the simulated start-stop state of each unit at all time points of the time period: respectively marking the time points of the change of the simulated start-up and shut-down state of each unit, wherein a certain unit has two or more times of simulated start-up and shut-down state changes in the time period, and the time interval between two adjacent time of state changes is less than T3Then the hypothetical FM capacity is deemed infeasible, wherein T3Time parameters set for avoiding the too frequent starting and stopping operations of a certain unit;
s3400) if none of the three determination methods from S3100 to S3300 is considered as the infeasible assumed frequency modulation capacity in the time period, the assumed frequency modulation capacity is the feasible assumed frequency modulation capacity; otherwise the fm capacity is assumed to be infeasible.
6. An aid decision method for a hydropower station participating in bidding of an optimal declared capacity of a frequency modulation market according to claim 1, wherein the step S4000) of determining, by the simulation module, respective superiority and inferiority parameters of respective feasible hypothetical frequency modulation capacities comprises:
s4100) calculating the simulation start-stop machine times in the time interval, wherein the simulation start-stop state of a certain machine set is changed from start-up to stop or from stop to start-up, namely 1 simulation start-stop machine time is considered to occur;
s4200) calculating the weighted number of the units in the time-sharing period in the limited operation area, including:
s4210) calculating the corresponding combined operation areas when the units in the starting states with different numbers are in the limited operation area for each time point in the time division period: s4211) listing the combination modes of all the startup state units in different operation areas, wherein the number of the combination modes is the multiplication product of the number of the operation areas of all the startup state units; s4212) calculating a combined operation interval corresponding to each combination mode listed in S4211 respectively, wherein the combined operation interval is calculated in such a way that the lower limit of the combined operation interval is the sum of the lower limits of the operation areas of the starting state units in the combination mode, and the upper limit of the combined operation interval is the sum of the upper limits of the operation areas of the starting state units in the combination mode; s4213) calculating the number of the units in the limited operation area in each combination mode, which corresponds to each combination mode listed in S4211; s4214) merging the combination modes with the same number of the units in the restricted operation area obtained in S4213, and solving a union set of all the combined operation areas obtained in S4212 participating in merging to obtain the corresponding combined operation areas F when different numbers of the units are in the restricted operation area0、F1、F2……Fi… …, where i is the number of units in the restricted operating zone;
s4220) calculating the weighted number of the units in the limited operation area under the feasible assumed frequency modulation capacity by dividing each time point in the time interval, wherein the weighted number comprises the following steps:
s4221) calculating a secondary frequency modulation adjusting range, wherein the upper limit of the secondary frequency modulation adjusting range is the power station planned active setting value plus the feasible assumed frequency modulation capacity, and the lower limit of the secondary frequency modulation adjusting range is the power station planned active setting value minus the feasible assumed frequency modulation capacity;
s4222) establishing variable x0、x1、x2……
S4223) calculating the secondary frequency modulation adjusting range of the time point and a combined operation area F obtained in S4214 when 0 unit is in the limited operation area0And computing the coverage x of the intersection0;
S4223) if the secondary frequency modulation adjustment range is deducted from S4214, obtaining a combined operation area F when 0 unit is in the limited operation area0If the latter set is not an empty set, then the set which is not an empty set and the combined operation region F obtained in S4214 when 1 machine set is in the limited operation region are continuously obtained1And computing the coverage x of the intersection1;
S4224) continuing the process until the secondary frequency modulation adjustment range is deducted;
s4225) the weighting number of the unit in the limited operation area isWhereinIs the upper limit of the secondary frequency modulation adjusting range, fpadjusting the lower limit of the range for the secondary frequency modulation, wherein r is the number of units in a limited operation area;
s4230) summing the weighted number of the time-interval units in the limited operation area, and multiplying the sum by the time interval between two adjacent time points to obtain the weighted number of the time-interval units in the limited operation area;
s4300) calculating a comprehensive good/bad parameter, wherein the good/bad parameter is equal to the starting/stopping times multiplied by eta of the sub-period obtained by S41001+ S4200 the weighted quantity of the time-share unit in the limited operation areaη2Wherein eta1、η2Respectively are weight parameters;
s4400) the results obtained in S4100 to S4300 are the comparison of the rationality of each feasible hypothetical frequency modulation capacity at the time interval, and the smaller the result is, the more rational the feasible hypothetical frequency modulation capacity is.
7. An aid decision method for a hydropower station participating in bidding for optimal declared capacity in a frequency modulation market according to claim 1, wherein the simulation of the start-up and shut-down states of each available unit under the optimal declared capacity for frequency modulation in S5000) comprises:
s5100) the main module inputs simulation parameters in the whole bidding period into the simulation module;
s5200) the main module inputs the optimal quasi-declaration frequency modulation capacity of all the time intervals into the simulation module;
s5300) the simulation module calculates the initial default startup and shutdown state of each unit in the bidding period;
s5400) the simulation module calculates the intelligent start-stop instruction in the whole bidding period and obtains the T of the intelligent start-stop instruction each time1After the time interval, the starting and stopping states of the corresponding units are changed;
s5500) the simulation module outputs the simulated start-up and shut-down states of all the units in the whole bidding period to the main module.
8. A method for assisting in decision making of a hydroelectric power station to participate in bidding on best declared capacity for a FM market according to claim 1 wherein said analysis of said primary module in S6000) comprises:
s6100) the main module analyzes the matching of the secondary frequency modulation adjustable capacity and the optimal quasi-declared frequency modulation capacity in the whole bidding period, if the secondary frequency modulation adjustable capacity of a certain time point or certain time points in the bidding period is less than the optimal quasi-declared frequency modulation capacity, the optimal quasi-declared frequency modulation capacity is not feasible, and the 1 st time point of the secondary frequency modulation adjustable capacity less than the optimal quasi-declared frequency modulation capacity is recorded as a time scale t1;
S6200) simulating start-stop state of each unit in whole bidding time periodAnd (4) judging: marking the time points of the change of the simulated start-up and shut-down state of a certain unit, and calculating the time interval between the marked time points; if the time interval between some two marked time points is less than T2Then the best quasi-declared FM capacity is deemed to be infeasible and the most advanced time interval in time is recorded to be less than T2The 2 nd time point of the pair of marked time points is the time scale t2;
S6300) judging the simulation start-stop state of each unit at all time points in the whole bidding period: respectively marking the time points of the change of the simulated start-up and shut-down states of each unit, if a certain unit has two or more times of the change of the simulated start-up and shut-down states in the time period, and the time interval between two adjacent state changes is less than T3Then the best quasi-declared FM capacity is deemed to be infeasible and the most advanced time interval in time is recorded to be less than T3The time point of the 2 nd state change in the two state changes of a certain unit is a time scale t3;
S6400) if the optimal quasi-declared frequency modulation capacity is not considered to be feasible by the three judgment modes from S6100 to S6300, the optimal quasi-declared frequency modulation capacity passes verification to become a recommended declared frequency modulation capacity, and the auxiliary decision flow is ended;
s6500) three judging modes of S6100 to S6300, if 1 or more judging modes exist, the best declared frequency modulation capacity is considered to be infeasible, the best declared frequency modulation capacity needs to be corrected, and the time scale t possibly generated is used1、t2、t3Selecting a time scale which is most advanced in time as a modified target time scale t;
s6600) according to the corrected target time mark t, determining the time interval in which the best quasi-declared frequency modulation capacity needs to be corrected in the bidding time interval:
s6610) determining the time segment to which the correction target time mark t belongs, namely the time segment to which the optimal quasi-declaration frequency modulation capacity needs to be corrected;
s6620) comparing the modified target time scale T with the start time point of the time segment to which the modified target time scale T belongs, if the time interval between the two is less than T4And repairThe time segment to which the positive target time mark T belongs is not the 1 st time segment in the bidding time segment, so that the previous time segment of the time segment to which the corrected target time mark T belongs also becomes the time segment to be corrected for the optimal quasi-declared FM capacity, T4The method comprises the steps of obtaining a correlation time parameter between the optimal quasi-declared frequency modulation capacity of a previous sub-period and the start-up and shutdown states of a target time scale t to be corrected;
s6700) sets the correction amplitude coefficient j equal to 1 and the variable k equal to 0 for correcting the optimal pseudodeclared fm capacity.
9. An aid decision method for a hydroelectric power station to participate in bidding on an optimally declared capacity in a frequency modulated market according to claim 1 or 8, wherein: the correction in step S7000) includes:
s7100) if the determined time period for which the best quasi-declared FM capacity needs to be corrected is only 1, the correcting step comprises the following steps:
s7110) subtracting j x from the sub-period optimal quasi-declared frequency modulation capacity needing to correct the optimal quasi-declared frequency modulation capacity;
s7120) if the time-interval optimal quasi-declared frequency modulation capacity minus jx is less than 0, terminating the auxiliary decision process and reporting an error;
s7130) if the time-interval optimal quasi-declaration frequency modulation capacity minus jx is more than or equal to 0, turning to S8000) to perform simulation check sum analysis on the correction result;
s7200) if 2 time segments needing to be corrected for the optimal quasi-declared FM capacity are determined, the correcting step comprises:
s7210) subtracting kX from the optimal quasi-declared frequency modulation capacity in the previous time interval in two time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected;
s7220) subtracting (j-k) x from the optimal quasi-declared frequency modulation capacity in the next time interval in two time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected;
s7230) if the results of the two time-interval optimal quasi-declared frequency modulation capacities which need to correct the optimal quasi-declared frequency modulation capacity are less than 0 after the correction of S7200, or one of the two results is less than 0 and the other result is equal to 0, terminating the auxiliary decision flow and reporting an error;
s7240) if the two time-interval optimal quasi-declared frequency modulation capacities which need to correct the optimal quasi-declared frequency modulation capacity are corrected by the S7200, one of the two results is less than 0, and the other result is greater than 0, judging variables k and j:
s7241) if k < j, k ═ k +1, and jump to S7200;
s7242) if k is j, k is 0, j is j +1, and go to S7200.
S7250) if the results of the two time-interval optimal quasi-declaration frequency modulation capacities which need to correct the optimal quasi-declaration frequency modulation capacity are both more than or equal to 0 after the correction of S7200, turning to S8000 to perform simulation check and analysis on the correction results.
10. An aid decision method for a hydroelectric power station to participate in bidding on an optimally declared capacity for a frequency modulated market according to claim 9 wherein: the simulation executed again in step S8000 is:
s8100) the main module takes the 1 st time segment of the bidding time interval until the time segment to which the target time mark t belongs as the time interval needing to be verified, which is called the verification time interval;
s8200) the main module inputs the sub-periods contained in the verification period and simulation parameters in the sub-periods related to the verification period into the simulation module;
s8300) the main module inputs the frequency modulation capacity needing to be checked into the simulation module:
s8310) directly inputting the optimal quasi-declared frequency modulation capacity into a simulation module for a time period in which the optimal quasi-declared frequency modulation capacity does not need to be corrected;
s8320) for the time intervals in which the optimal quasi-declared frequency modulation capacity needs to be corrected, if the time intervals are only 1, inputting the frequency modulation capacity processed by the S7110 into a simulation module;
s8330) for the time intervals needing to correct the optimal quasi-declared frequency modulation capacity, if the time intervals are 2, inputting the frequency modulation capacity processed in S7210 and S7220 into a simulation module;
s8400) the simulation module calculates the default starting and stopping states of each unit at the beginning of the verification time period;
s8500) the simulation module calculates the intelligent start-stop instruction in the whole verification period and obtains the T of the intelligent start-stop instruction each time1After the time interval, the starting and stopping states of the corresponding units are changed;
s8600) the simulation module outputs the simulation start-up and shut-down states of all the units in the whole verification period to the main module;
s8700) analyzing the simulation result of the whole verification period by referring to S3000, judging whether the frequency modulation capacity input by S8300 is feasible, and performing the following steps according to the judgment result:
s8710) if the result is feasible, correcting the optimal quasi-declared frequency modulation capacity to be the frequency modulation capacity of the S8300 input simulation module, jumping to S5000, and calling the simulation module again to simulate the start-stop state of each available unit under the corrected optimal quasi-declared frequency modulation capacity in the whole bidding period;
s8720) if the result is not feasible and the time period determined by S6600 to be corrected for the optimal proposed fm capacity is only 1, j equals j +1, and jumps to S7100;
s8730) if the result is not feasible and the time period determined by S6600 needing to correct the optimal quasi-declared FM capacity is 2, judging the variables k and j:
s8731) if k < j, k ═ k +1, and jump to S7200;
s8732) if k equals j, k equals 0, j equals j +1, and jumps to S7200.
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Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102298731A (en) * | 2010-06-25 | 2011-12-28 | 华东电网有限公司 | Cascade reservoir short-term electricity generation optimal dispatching method considering comprehensive requirements of tide stemming water supply |
CN102751737A (en) * | 2012-05-14 | 2012-10-24 | 中国电力科学研究院 | Method for simulating and analyzing automatic generation control of electrical power system containing wind power |
CN103138256A (en) * | 2011-11-30 | 2013-06-05 | 国网能源研究院 | New energy electric power reduction panorama analytic system and method |
CN105226725A (en) * | 2015-07-24 | 2016-01-06 | 中国南方电网有限责任公司电网技术研究中心 | Power distribution coordination method between generator and power grid energy storage system |
CN105529748A (en) * | 2016-01-11 | 2016-04-27 | 中国南方电网有限责任公司 | Automatic generation control system and method suitable for dynamic simulation of power system |
CN107069789A (en) * | 2017-05-13 | 2017-08-18 | 东北电力大学 | A kind of energy-storage system control strategy towards power network AGC frequency modulation |
CN107834536A (en) * | 2017-09-29 | 2018-03-23 | 广东电力交易中心有限责任公司 | A kind of electric network security and the energy market emulation mode of market economy |
CN108092322A (en) * | 2017-11-14 | 2018-05-29 | 国电南瑞科技股份有限公司 | A kind of AGC control methods based on frequency modulation market environment |
CN108736491A (en) * | 2018-05-10 | 2018-11-02 | 中国电力科学研究院有限公司 | The appraisal procedure and system of a kind of optimal capacity of electric system frequency modulation field energy storage |
CN109149651A (en) * | 2018-10-19 | 2019-01-04 | 国网江苏省电力有限公司南通供电分公司 | It is a kind of meter and pressure regulation ancillary service income light-preserved system optimizing operation method |
CN109347100A (en) * | 2018-11-26 | 2019-02-15 | 国网四川省电力公司经济技术研究院 | Promote the mixed energy storage system Optimal Configuration Method of wind power plant comprehensive performance |
CN109768577A (en) * | 2019-03-18 | 2019-05-17 | 华能澜沧江水电股份有限公司 | A kind of power station Poewr control method comprising energy storage primary frequency control system |
US20200209812A1 (en) * | 2018-03-16 | 2020-07-02 | Dalian University Of Technology | Practical method for short-term operations of super large-scale hydropower plants |
-
2020
- 2020-08-28 CN CN202010886355.0A patent/CN112084639B/en active Active
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102298731A (en) * | 2010-06-25 | 2011-12-28 | 华东电网有限公司 | Cascade reservoir short-term electricity generation optimal dispatching method considering comprehensive requirements of tide stemming water supply |
CN103138256A (en) * | 2011-11-30 | 2013-06-05 | 国网能源研究院 | New energy electric power reduction panorama analytic system and method |
CN102751737A (en) * | 2012-05-14 | 2012-10-24 | 中国电力科学研究院 | Method for simulating and analyzing automatic generation control of electrical power system containing wind power |
CN105226725A (en) * | 2015-07-24 | 2016-01-06 | 中国南方电网有限责任公司电网技术研究中心 | Power distribution coordination method between generator and power grid energy storage system |
CN105529748A (en) * | 2016-01-11 | 2016-04-27 | 中国南方电网有限责任公司 | Automatic generation control system and method suitable for dynamic simulation of power system |
CN107069789A (en) * | 2017-05-13 | 2017-08-18 | 东北电力大学 | A kind of energy-storage system control strategy towards power network AGC frequency modulation |
CN107834536A (en) * | 2017-09-29 | 2018-03-23 | 广东电力交易中心有限责任公司 | A kind of electric network security and the energy market emulation mode of market economy |
CN108092322A (en) * | 2017-11-14 | 2018-05-29 | 国电南瑞科技股份有限公司 | A kind of AGC control methods based on frequency modulation market environment |
US20200209812A1 (en) * | 2018-03-16 | 2020-07-02 | Dalian University Of Technology | Practical method for short-term operations of super large-scale hydropower plants |
CN108736491A (en) * | 2018-05-10 | 2018-11-02 | 中国电力科学研究院有限公司 | The appraisal procedure and system of a kind of optimal capacity of electric system frequency modulation field energy storage |
CN109149651A (en) * | 2018-10-19 | 2019-01-04 | 国网江苏省电力有限公司南通供电分公司 | It is a kind of meter and pressure regulation ancillary service income light-preserved system optimizing operation method |
CN109347100A (en) * | 2018-11-26 | 2019-02-15 | 国网四川省电力公司经济技术研究院 | Promote the mixed energy storage system Optimal Configuration Method of wind power plant comprehensive performance |
CN109768577A (en) * | 2019-03-18 | 2019-05-17 | 华能澜沧江水电股份有限公司 | A kind of power station Poewr control method comprising energy storage primary frequency control system |
Non-Patent Citations (3)
Title |
---|
刘俊勇等: "电力市场下水电营销决策理论", 《电力科学与技术学报》 * |
都亮等: "基于电力网络一次调频动态模型建立及仿真", 《电力自动化设备》 * |
高志华等: "省级电力市场竞标及结算模式研究", 《电网技术》 * |
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