CN107370164B - Frequency modulation auxiliary service market clearing decision method considering response performance index - Google Patents
Frequency modulation auxiliary service market clearing decision method considering response performance index Download PDFInfo
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- H—ELECTRICITY
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Abstract
The invention discloses a frequency modulation auxiliary service market clearing decision method considering response performance indexes, which comprises the steps of determining the demand of the future reserve capacity according to the load change condition; carrying out daily spare capacity clearing, and establishing a daily spare clearing model; in a real-time frequency modulation capacity market, correcting the frequency modulation capacity demand by using ultra-short term load prediction; clearing a real-time frequency modulation capacity market, and establishing a real-time frequency modulation clearing model; and determining the total winning capacity of the frequency modulation quotient through the daily spare capacity clearing result and the real-time frequency modulation capacity clearing result, and calling the electric quantity within the winning capacity range according to the real-time frequency change. The response performance index of the unit is considered in the clearing optimization model, and the total purchase scheduling cost is lowest on the basis of ensuring the frequency modulation performance; meanwhile, on the basis of the day-ahead spare capacity, real-time correction is carried out by using ultra-short-term load prediction, real-time frequency modulation capacity clearing is carried out, and the stability of the system is ensured.
Description
Technical Field
The invention relates to a frequency modulation auxiliary service market clearing decision method considering response performance indexes, and belongs to the field of frequency modulation auxiliary services of power markets.
Background
There are four modes of foreign fm auxiliary services: non-competitive, spot market bidding, and double-sided isotypes. The scheduling is mainly carried out by adopting a priority method, a sequence method and a joint scheduling method. The scheduling constraint mainly comprises electric quantity constraint, namely the limitation of electric energy and rotary standby; hill climbing constraints, i.e., limits on the speed of ascent and descent; and capacity constraints, i.e., response constraints of the system, etc. For example, frequency modulation auxiliary service markets of countries such as the united states PJM, new england, australian frequency modulation market and the like have respective characteristics, and the establishment of a transaction period, a transaction mode, a settlement price, a cost composition and a participating object is established by considering the characteristics of a power grid in the country or a certain region, so that the frequency modulation service is more reliable and economical.
The design of the frequency modulation market operation mechanism currently has the following methods:
document "acquisition and pricing of auxiliary services in power market" (vol 26, No. 7 of power grid technology 2002) analyzes a transaction pattern of a foreign PJM frequency modulation auxiliary service market, a PJM distributes frequency modulation obligations to Load Service Enterprises (LSEs) according to a Load proportion of a real-time market, the LSEs can use own power generation resources or sign contracts to enable other service providers to replace themselves to complete corresponding frequency modulation obligations, and the PJM auxiliary standby market provides services for buying and selling. When the frequency modulation capacity of the frequency modulation service provider exceeds the self frequency modulation obligation, the exceeding part calculates the reward according to the category of the unit in the time period in the settlement process. For users and FM power plants which cannot fulfill self obligations, the average FM price is paid to the PJM, and the PJM purchases FM service for the PJM according to the principle of minimum cost. The frequency modulation service is obtained by market public bidding, and the price of the frequency modulation service is fixed according to the principle that the total payment cost is minimum. The frequency modulation service provider submits bidding information including frequency modulation capability and frequency modulation price to the PJM day ahead. The PJM provides a system for fm service providers that can buy and sell fm auxiliary services in a market mode of operation.
The second international comparison research on the electricity Assisted Services Market (ASM) (2003, 7 th of china power) introduced the frequency modulation assisted services market in california, divided into the up-regulation and down-regulation markets, provided by the unit that is connected to the system and is in operation. In actual operation, the AGC unit and Schedule Coordinator (SC) provide the frequency modulation capacity required by the market, and control the frequency within a certain range. The fm service providers qualify for market participation in a competitive market through the california organization's ancillary service bids. The prices of fm supplementary services are divided into day-ahead market prices and hour-ahead market prices. In the bidding process, the california ISO determines the final pricing of the frequency modulation service according to the volume quote in the bid information and the market clearing price. The settlement is calculated based on the frequency modulation capacity of the service provider and the real-time market clearing price. The penalties are obtained by regulatory performance assessment of the facilitator. The frequency modulation cost is paid by each SC according to the load condition and the power generation amount of the SC according to a certain proportion.
The third document, "the state of the latest development of the australian national power market" (vol.28, 24 of power grid technologies 2004) analyzes the auxiliary service of the australian power market, and the australian fm auxiliary service adopts a spot market bidding type and a bilateral contract mixed mode. The Australian energy market operator AEMO is responsible for dispatching nationwide interconnected power grids and transaction management of the power market, and the electric energy and auxiliary services are jointly dispatched by adopting a coordination optimization method with the minimum total cost. The AEMO calculates the requirements of various frequency control ancillary services in advance and publishes the requirements of regional frequency ancillary services one week ahead of time according to Australian's market rules. And the frequency-adjusted service provider carries out quotation, and the quotation elements are as follows: the quoted price is divided into ten non-zero power sections, the quoted price of the ten sections of power is monotonically increased, the quoted price must be ended one day before the transaction date, and the quoted price also comprises a maximum output limit, a minimum output limit, power-up and power-down and the like. The australian fm market establishes a clearing price for each fm service, respectively, in 5min of a scheduling period.
The fourth document, the development and utilization of the hydropower resources in Norway (No. 20, No. 3 of 2004 in northwest hydroelectric power), analyzes the frequency modulation market in Norway from the perspective of hydropower, and the frequency modulation service in Norway is non-competitive, and the unit is forced to participate in frequency modulation and has fixed price. The Norwegian frequency modulation auxiliary service consists of basic frequency modulation auxiliary service and excess frequency modulation auxiliary service, wherein the basic auxiliary service forcibly requires participation and has no extra reward; the units with margin for adjustment can be rewarded by providing excess auxiliary services. The installed capacity of water in norway is much greater than the demand for load and reserve capacity. When the unit operation is in the best operating point, the system is also in a better safe and stable state. The frequency modulation auxiliary service of Norway promotes the large-scale consumption of hydropower on the basis of ensuring the safety and stability of a power grid system.
The existing clearing decision method does not consider the response performance index of the frequency modulation provider, the unit with good frequency modulation performance is not easy to bid, and the situations that the spare capacity obtained by purchasing in the day is possibly insufficient in actual operation, and individual frequency modulation providers cannot complete the bid amount and the like are not considered.
Disclosure of Invention
In order to solve the technical problem, the invention provides a frequency modulation auxiliary service market clearing decision method considering response performance indexes.
In order to achieve the purpose, the invention adopts the technical scheme that:
the frequency modulation auxiliary service market clearing decision method considering the response performance index comprises the following steps,
determining the demand of the day-ahead reserve capacity according to the load change condition; the demand for day-ahead reserve capacity comprises a demand for day-ahead up-regulation reserve capacity and a demand for day-ahead down-regulation reserve capacity;
carrying out daily spare capacity clearing, and establishing a daily spare clearing model; the day-ahead standby output model comprises a day-ahead upper adjustment standby output model and a day-ahead lower adjustment standby output model;
in a real-time frequency modulation capacity market, correcting the frequency modulation capacity demand by using ultra-short term load prediction;
clearing a real-time frequency modulation capacity market, and establishing a real-time frequency modulation clearing model; the real-time frequency modulation output model comprises a real-time upper frequency modulation output model and a real-time lower frequency modulation output model;
and determining the total winning capacity of the frequency modulation quotient through the daily spare capacity clearing result and the real-time frequency modulation capacity clearing result, and calling the electric quantity within the winning capacity range according to the real-time frequency change.
The specific process of determining the demand for reserve capacity in the future based on load changes is as follows,
determining the output curve of each generator according to the load change trend, and obtaining the trend of the output change of the generator set in the next time period as follows:
TrendLoad(t)＝(Load(t+Δt)-Load(t))/Δt
wherein TrendLoad(t)Load (t) is load data at the time t, and delta t represents a certain time period;
the up-down regulation reserve capacity requirement before the day is obtained as follows:
wherein the content of the first and second substances,
the reserve capacity requirements are adjusted up and down day before t, alpha is a Load coefficient, beta is a new energy coefficient, Loadday(t) load prediction before day, Pref(i, t) is the output of the ith frequency modulation quotient at the time t, N is the number of frequency modulation quotients, Gtype(i) The type of the ith frequency modulation quotient is 0 in the traditional type, 1 in the new energy source and the load change trend coefficient is gamma.
The spare supernatant model is adjusted in the upper part of the day,
an objective function:
wherein the content of the first and second substances,
the unit capacity bid price of reserve capacity is adjusted for the ith fm trader on the day,
for the winning up-modulation reserve capacity of the i fm-quotient, sort factor (i) is the fm response coefficient of the ith fm-quotient,
wherein R isFM(i)、e(i)、RT(i) Frequency modulation rate, adjustment accuracy, response time, R, of the ith frequency modulation quotient, respectivelyFM、e、RTRespectively the frequency modulation rate, the adjustment precision and the response time of the frequency modulation quotient, and mean () is an averaging function;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
up-regulating the reserve capacity for a period of time required by the system;
the inequality constrains:
wherein the content of the first and second substances,
adjusting the upper limit of the reserve capacity for the frequency modulation business day ahead;
the standby clear model is adjusted from the lower part of the day,
an objective function:
wherein the content of the first and second substances,
for the ith frequency-modulated quotientThe unit capacity bid price for adjusting the reserve capacity is lowered by day,
adjusting the reserve capacity for the bid-winning of the i FM quotient;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
adjusting the reserve capacity for a desired reduction of the system for a period of time;
the inequality constrains:
wherein the content of the first and second substances,
the upper limit of the reserve capacity is adjusted for frequency modulation business day ahead.
In the process of correcting the frequency modulation capacity requirement, the prediction error existing in ultra-short-term load prediction and the spare capacity part which is marked in the market before the day and cannot be provided by the real-time market are required to be added into the real-time frequency modulation capacity requirement;
the specific process is as follows:
a) load prediction from Load before dayday(t) and ultra-short term Load prediction value Loadrt(t) determining the prediction error D of bothFM(t)；
DFM(t)＝Loadrt(t)-Loadday(t)
When D is presentFMWhen (t) is greater than or equal to 0,
when D is presentFMWhen (t) < 0, the reaction mixture,
wherein the content of the first and second substances,
adjusting the frequency modulation capacity demand for the time t according to the up-regulation and the down-regulation obtained by the ultra-short-term load prediction; cor、CodThe capacity increase and decrease multiples obtained according to the normal distribution of the prediction error;
fixed values for adjusting the frequency modulation capacity for up and down;
b) correcting the frequency modulation capacity according to the ultra-short-term load prediction;
when in useWhen the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
in the formula (I), the compound is shown in the specification,
the amount of correction required to adjust and de-adjust the capacity on the real-time market for time t,
the sum of the up-regulation capacity and the down-regulation capacity which can not be provided by the frequency modulation provider winning the day before the time t,
the up-regulation capacity and the down-regulation capacity which cannot be provided by the ith FM quotient which is winning before the day of the time t.
The real-time frequency-up-modulation clear model is as follows,
an objective function:
wherein the content of the first and second substances,
the bid price per capacity for the upshifted capacity of the ith fm provider,
the up-regulation capacity of the winning bid for the i FM quotient is obtained;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the correction quantity of the upper frequency modulation capacity required by a system in a certain period of time;
the inequality constrains:
wherein the content of the first and second substances,
adjusting the amount of capacity upper limit correction for the frequency modulation quotient in real time;
real-time frequency modulation is carried out to obtain a clear model;
an objective function:
wherein the content of the first and second substances,
the bid price per capacity for the adjusted capacity for the ith fm carrier,
adjusting the capacity for the lower bid of the i FM quotient;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the lower frequency regulation capacity correction quantity required by a system in a certain period;
the inequality constrains:
wherein the content of the first and second substances,
adjusting the amount of capacity upper limit correction for the frequency modulation quotient in real time;
wherein the content of the first and second substances,
the up-and down-regulation capacity that the fm quotient has in real time,
spare capacity is adjusted for the winning up and down of the fm quotient.
The general calculation formula of the medium and frequency modulation capacity of the frequency modulation quotient is as follows,
wherein the content of the first and second substances,
for the sum of adjusting the spare capacity in the day-ahead and adjusting the frequency modulation capacity in real time,
for adjusting the sum of the spare capacity at day time and the frequency modulation capacity at real time,
the capacity is adjusted up and down which the fm provider cannot provide.
The invention achieves the following beneficial effects: response performance indexes of the unit are considered in the clearing optimization model, and the total purchase scheduling cost is lowest on the basis of ensuring the frequency modulation performance; meanwhile, on the basis of the day-ahead spare capacity, real-time correction is carried out by using ultra-short-term load prediction, real-time frequency modulation capacity clearing is carried out, and the stability of the system is ensured.
Drawings
Fig. 1 is a schematic block diagram of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The frequency modulation auxiliary service market clearing decision method considering the response performance index comprises the following steps:
step 1, determining the demand of the day-ahead reserve capacity according to the load change condition; the demand for day-ahead reserve capacity includes a demand for day-up regulated reserve capacity and a demand for day-down regulated reserve capacity.
The specific process is as follows:
determining the output curve of each generator according to the load change trend, and obtaining the trend of the output change of the generator set in the next time period as follows:
TrendLoad(t)＝(Load(t+Δt)-Load(t))/Δt
wherein TrendLoad(t)Load (t) is load data at the time t, and delta t is a certain time period;
the up-down regulation reserve capacity requirement before the day is obtained as follows:
wherein the content of the first and second substances,
the reserve capacity requirements are adjusted up and down day before t, alpha is a Load coefficient, beta is a new energy coefficient, Loadday(t) load prediction before day, Pref(i, t) is the output of the ith frequency modulation quotient at the time t, N is the number of frequency modulation quotients, Gtype(i) The type of the ith frequency modulation quotient is 0 in the traditional type, 1 in the new energy source and the load change trend coefficient is gamma.
And 2, carrying out the daily spare capacity clearing and establishing a daily spare clearing model.
The day-ahead standby output model comprises a day-ahead upper adjustment standby output model and a day-ahead lower adjustment standby output model. The target function of the future backup clearing model considers the unit capacity price of the frequency modulation capacity and the frequency modulation response performance coefficient of the frequency modulation quotient, wherein the frequency modulation response performance coefficient parameters comprise response time, frequency modulation rate and adjustment precision. The market purchase reserve capacity target minimizes the total purchase reserve capacity cost and frequency modulation response performance coefficient; the constraints considered include an equality constraint where the sum of the reserve capacity of the individual fm quotients is equal to the total reserve capacity requirement and an inequality constraint where the reserve capacity of each fm quotient must be below the upper limit of the reserve capacity of the fm quotient.
Frequency modulation response coefficient:
wherein, the sort _ factor (i) is the frequency modulation response performance coefficient of the ith frequency modulation quotient, RFM(i)、e(i)、RT(i) Frequency modulation rate, adjustment accuracy, response time, R, of the ith frequency modulation quotient, respectivelyFM、e、RTRespectively, the frequency modulation rate, the adjustment precision and the response time of the frequency modulation quotient, and mean () is an averaging function.
The up-regulation standby supernatant model before the day is as follows:
an objective function:
wherein the content of the first and second substances,
the unit capacity bid price of reserve capacity is adjusted for the ith fm trader on the day,
reserve capacity is adjusted up for the winning bid of the i fm quotient.
Constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the reserve capacity is adjusted up for the needs of the system for a certain period of time.
The inequality constrains:
wherein the content of the first and second substances,
the upper limit of the reserve capacity is adjusted for frequency modulation business days.
The adjusting standby supernatant model in the day-ahead is as follows:
an objective function:
wherein the content of the first and second substances,
the unit capacity bid price for the reserve capacity adjusted for the day ahead of the ith fm dealer,
spare capacity is adjusted for the winning bid of i fm quotients.
Constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
spare capacity is adjusted for as low a demand as the system for a certain period of time.
The inequality constrains:
wherein the content of the first and second substances,
the upper limit of the reserve capacity is adjusted for frequency modulation business day ahead.
And 3, in a real-time frequency modulation capacity market, correcting the frequency modulation capacity demand by using ultra-short term load prediction. In the process of correcting the demand of the frequency modulation capacity, the prediction error of the ultra-short-term load prediction and the spare capacity part which is marked in the market at the day before and cannot be provided by the real-time market are required to be added into the demand of the real-time frequency modulation capacity.
The specific process is as follows:
a) load prediction from Load before dayday(t) and ultra-short term Load prediction value Loadrt(t) determining the prediction error D of bothFM(t)；
DFM(t)＝Loadrt(t)-Loadday(t)
When D is presentFMWhen (t) is greater than or equal to 0,
when D is presentFMWhen (t) < 0, the reaction mixture,
wherein the content of the first and second substances,
adjusting the frequency modulation capacity demand for the time t according to the up-regulation and the down-regulation obtained by the ultra-short-term load prediction; cor、CodThe capacity increase and decrease multiples obtained according to the normal distribution of the prediction error;
fixed values for adjusting the frequency modulation capacity for up and down;
b) correcting the frequency modulation capacity according to the ultra-short-term load prediction;
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
in the formula (I), the compound is shown in the specification,
the amount of correction required to adjust and de-adjust the capacity on the real-time market for time t,
the sum of the up-regulation capacity and the down-regulation capacity which can not be provided by the frequency modulation provider winning the day before the time t,
the up-regulation capacity and the down-regulation capacity which cannot be provided by the ith FM quotient which is winning before the day of the time t.
And 4, clearing the real-time frequency modulation capacity market and establishing a real-time frequency modulation clearing model.
The real-time frequency modulation output model comprises a real-time upper frequency modulation output model and a real-time lower frequency modulation output model. The target function of the real-time frequency modulation clearing model considers the unit capacity price of the frequency modulation capacity and the frequency modulation comprehensive performance of the frequency modulation unit. The frequency modulation capacity target is purchased in the market, so that the total cost for purchasing the frequency modulation capacity and the comprehensive coefficient of the frequency modulation comprehensive performance are the lowest; the considered constraint conditions comprise equality constraint and inequality constraint, wherein the equality constraint is that the sum of the frequency modulation capacity of each unit is equal to the total frequency modulation requirement, and the inequality constraint is that the frequency modulation capacity of each frequency modulation quotient must be lower than the correction quantity of the frequency modulation capacity upper limit of the real-time frequency modulation quotient of the unit.
Wherein the content of the first and second substances,
the up-and down-regulation capacity that the fm quotient has in real time,
spare capacity is adjusted for the winning up and down of the fm quotient.
The real-time frequency modulation clear model is as follows:
an objective function:
wherein the content of the first and second substances,
the bid price per capacity for the upshifted capacity of the ith fm provider,
the capacity is adjusted up for the winning bid of i fm quotients.
Constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the amount of up-modulation capacity correction required by the system for a certain period of time.
The inequality constrains:
wherein the content of the first and second substances,
and adjusting the capacity upper limit correction amount for the frequency modulation quotient in real time.
And (3) real-time frequency modulation clear model:
an objective function:
wherein the content of the first and second substances,
the bid price per capacity for the adjusted capacity for the ith fm carrier,
for winning a bid for i FM quotientsThe capacity is adjusted downward.
Constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the amount of the lower frequency-regulating capacity correction required by the system in a certain period of time.
The inequality constrains:
wherein the content of the first and second substances,
the amount of capacity cap correction is adjusted in real time for the fm quotient.
And 5, determining the total winning capacity of the frequency modulation quotient through the daily spare capacity clearing result and the real-time frequency modulation capacity clearing result, and calling the electric quantity within the winning capacity range according to the real-time frequency change.
The general calculation formula of the medium and frequency modulation capacity of the frequency modulation quotient is as follows:
wherein the content of the first and second substances,
for the sum of adjusting the spare capacity in the day-ahead and adjusting the frequency modulation capacity in real time,
adjusting reserve capacity for day ahead and real time turndownThe sum of the frequency modulation capacities is saved,
the capacity is adjusted up and down which the fm provider cannot provide.
Fig. 1 is a schematic block diagram of a frequency modulation auxiliary service market clearing decision mechanism, in which, after clearing of a main energy market is completed, a demand for a day-ahead reserve capacity is determined according to a load change condition, a demand for an up-date adjustment reserve capacity and a demand for a down-date adjustment reserve capacity are calculated, a up-date adjustment reserve clearing model and a down-date adjustment reserve clearing model are established, in a real-time frequency modulation capacity market, a super-short-term load prediction is used to correct a frequency modulation capacity demand, and a prediction error required in the correction process and a reserve capacity portion which is marked in the day-ahead market and cannot be provided by the real-time market are considered; clearing a real-time frequency modulation capacity market, and establishing a real-time frequency modulation clearing model; and D, carrying out electric quantity calling within the range of the winning frequency modulation capacity according to real-time frequency change.
According to the method, the response performance index of the unit is considered in the clearing optimization model, and the total purchase scheduling cost is the lowest on the basis of ensuring the frequency modulation performance; meanwhile, on the basis of the day-ahead spare capacity, real-time correction is carried out by using ultra-short-term load prediction, real-time frequency modulation capacity clearing is carried out, and the stability of the system is ensured.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (5)
1. The decision-making method for clearing frequency modulation auxiliary service market in consideration of response performance indexes is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
determining the demand of the day-ahead reserve capacity according to the load change condition; the demand for day-ahead reserve capacity comprises a demand for day-ahead up-regulation reserve capacity and a demand for day-ahead down-regulation reserve capacity;
carrying out daily spare capacity clearing, and establishing a daily spare clearing model; the day-ahead standby output model comprises a day-ahead upper adjustment standby output model and a day-ahead lower adjustment standby output model;
in a real-time frequency modulation capacity market, correcting the frequency modulation capacity demand by using ultra-short term load prediction;
in the process of correcting the frequency modulation capacity requirement, the prediction error existing in ultra-short-term load prediction and the spare capacity part which is marked in the market before the day and cannot be provided by the real-time market are required to be added into the real-time frequency modulation capacity requirement;
the specific process is as follows:
a) load prediction from Load before dayday(t) and ultra-short term Load prediction value Loadrt(t) determining the prediction error D of bothFM(t)；
DFM(t)＝Loadrt(t)-Loadday(t)
When D is presentFMWhen (t) is greater than or equal to 0,
when D is presentFMWhen (t) < 0, the reaction mixture,
wherein the content of the first and second substances,
adjusting the frequency modulation capacity demand for the time t according to the up-regulation and the down-regulation obtained by the ultra-short-term load prediction; cor、CodIs based on the positive of the prediction errorCapacity gain and reduction factor obtained from state distribution;
fixed values for adjusting the frequency modulation capacity for up and down;
b) correcting the frequency modulation capacity according to the ultra-short-term load prediction;
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
in the formula (I), the compound is shown in the specification,
the amount of correction required to adjust and de-adjust the capacity on the real-time market for time t,
the sum of the up-regulation capacity and the down-regulation capacity which can not be provided by the frequency modulation provider winning the day before the time t,
is the up-regulation and down-regulation capacity which can not be provided by the ith fm quotient which wins the day before the time t,
up-regulating and down-regulating the reserve capacity demand for the day before time t;
clearing a real-time frequency modulation capacity market, and establishing a real-time frequency modulation clearing model; the real-time frequency modulation output model comprises a real-time upper frequency modulation output model and a real-time lower frequency modulation output model;
and determining the total winning capacity of the frequency modulation quotient through the daily spare capacity clearing result and the real-time frequency modulation capacity clearing result, and calling the electric quantity within the winning capacity range according to the real-time frequency change.
2. A frequency modulation assisted service market clearing decision method taking response performance indicators into account as claimed in claim 1, characterized in that: the specific process of determining the demand for reserve capacity in the future based on load changes is as follows,
determining the output curve of each generator according to the load change trend, and obtaining the trend of the output change of the generator set in the next time period as follows:
TrendLoad(t)＝(Load(t+Δt)-Load(t))/Δt
wherein TrendLoad(t)Is time tLoad (t) is load data at time t, and Δ t represents a certain time period;
the up-down regulation reserve capacity requirement before the day is obtained as follows:
wherein, alpha is a Load coefficient, beta is a new energy coefficient, Loadday(t) load prediction before day, Pref(i, t) is the output of the ith frequency modulation quotient at the time t, N is the number of frequency modulation quotients, Gtype(i) The type of the ith frequency modulation quotient is 0 in the traditional type, 1 in the new energy source and the load change trend coefficient is gamma.
3. A frequency modulation assisted service market clearing decision method taking response performance indicators into account as claimed in claim 1, characterized in that: the spare supernatant model is adjusted in the upper part of the day,
an objective function:
wherein the content of the first and second substances,
the unit capacity bid price of reserve capacity is adjusted for the ith fm trader on the day,
for the winning up-modulation reserve capacity of the i fm-quotient, sort factor (i) is the fm response coefficient of the ith fm-quotient,
wherein R isFM(i)、e(i)、RT(i) Frequency modulation rate, adjustment accuracy, response time, R, of the ith frequency modulation quotient, respectivelyFM、e、RTRespectively the frequency modulation rate, the adjustment precision and the response time of the frequency modulation quotient, and mean () is an averaging function;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
up-regulating the reserve capacity for a period of time required by the system;
the inequality constrains:
wherein the content of the first and second substances,
the upper limit of the reserve capacity is adjusted for the day before the frequency modulation quotient,
adjusting the reserve capacity for the winning bid of the frequency modulation quotient;
the standby clear model is adjusted from the lower part of the day,
an objective function:
wherein the content of the first and second substances,
the unit capacity bid price for the reserve capacity adjusted for the day ahead of the ith fm dealer,
adjusting the reserve capacity for the bid-winning of the i FM quotient;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
adjusting the reserve capacity for a desired reduction of the system for a period of time;
the inequality constrains:
wherein the content of the first and second substances,
the upper limit of the reserve capacity is adjusted for frequency modulation business day ahead,
spare capacity is adjusted for the winning bid of the fm quotient.
4. A frequency modulation assisted service market clearing decision method taking response performance indicators into account as claimed in claim 1, characterized in that: the real-time frequency-up-modulation clear model is as follows,
an objective function:
wherein the content of the first and second substances,
units of up-regulation capacity for the ith frequency modulation quotientThe price of the volume bid is,
the up-regulation capacity of the winning bid for the i FM quotient is obtained;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the correction quantity of the upper frequency modulation capacity required by a system in a certain period of time;
the inequality constrains:
wherein the content of the first and second substances,
the amount of capacity cap correction is adjusted in real time for the fm quotient,
the up-regulation capacity of the winning bid for the frequency modulation quotient;
real-time frequency modulation is carried out to obtain a clear model;
an objective function:
wherein the content of the first and second substances,
the bid price per capacity for the adjusted capacity for the ith fm carrier,
adjusting the capacity for the lower bid of the i FM quotient;
constraint conditions are as follows:
and (3) constraint of an equation:
wherein the content of the first and second substances,
the lower frequency regulation capacity correction quantity required by a system in a certain period;
the inequality constrains:
wherein the content of the first and second substances,
the amount of capacity cap correction is adjusted in real time for the fm quotient,
adjusting the capacity for the lower bid of the frequency modulation quotient;
wherein the content of the first and second substances,
the up-and down-regulation capacity that the fm quotient has in real time,
spare capacity is adjusted for the winning up and down of the fm quotient.
5. A frequency modulation assisted service market clearing decision method taking response performance indicators into account as claimed in claim 1, characterized in that: the general calculation formula of the medium and frequency modulation capacity of the frequency modulation quotient is as follows,
wherein the content of the first and second substances,
for the sum of adjusting the spare capacity in the day-ahead and adjusting the frequency modulation capacity in real time,
for adjusting the sum of the spare capacity at day time and the frequency modulation capacity at real time,
for up and down capacity adjustments that frequency modulators cannot provide,
the spare capacity is adjusted for the winning bid of the fm quotient,
spare capacity is adjusted for the winning bid of the fm quotient,
for the medium-winning up-regulation capacity of the fm quotient,
capacity is adjusted for the winning lower limit of the fm quotient.
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