CN111639963A - Flexible decision-making method and circuit for electric power service provider controllable load for avoiding penalty of deviation electric quantity - Google Patents
Flexible decision-making method and circuit for electric power service provider controllable load for avoiding penalty of deviation electric quantity Download PDFInfo
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Abstract
The invention discloses a flexible decision method and a flexible decision circuit for a controllable load of an electric power service provider, which avoid punishment of deviation electric quantity, wherein the method comprises the following steps: step S1: monthly electricity purchasing quantity is distributed to each day according to the load prediction result; step S2: the day-ahead load electricity consumption Q predicted by the load prediction moduledAnd QfMaking a difference to obtain daily deviation electric quantity; step S3: the power compensation price calculation module receives the user information transmitted by the data storage module; step S4: receiving user information transmitted from a data storage module, and calculating the power compensation cost of a user; step S5: the profit calculation module calculates the profit of the user; step S6: and comparing and optimizing the user declared electric quantity and the daily deviation electric quantity to obtain a controllable load adjustment scheme with the highest comprehensive benefit. The circuit is used for implementing the method. The invention is provided withThe enthusiasm of the user for participating in demand response is effectively improved, the penalty cost generated by monthly deviation electric quantity assessment is avoided for the electric power service provider, and the competitiveness of the electric power service provider in the electric power market is improved.
Description
Technical Field
The invention mainly relates to the technical field of electric power markets, in particular to a controllable load flexible method and a decision circuit for avoiding the penalty of deviation electric quantity for an electric power service provider.
Background
The intelligent power grid comprehensively applies informatization, digitization and intelligent technologies to each link of power generation, power transmission, power distribution, power sale and power utilization, integrally optimizes the operation and management of a power system in all directions and in deep level, and realizes maximum energy utilization. With the rapid development of smart grid technology, end users are transitioning from a completely passive uncontrolled load to a controllable load that actively participates in the power market and system scheduling. And part of the power selling companies are transformed into power service providers with dual identities of energy consumption and production, and distributed renewable power sources, energy storage equipment, electric automobiles, controllable energy utilization equipment and the like on the user demand side are uniformly integrated and managed.
The electric power service provider predicts the output of the distributed power supply and the user load in advance, formulates competitive bidding electric quantity and power price, and participates in long-term transaction and spot transaction in the electric power market. Due to the fluctuation of the user load and the power of the distributed power supply, the competitive bidding electric quantity submitted to the trading center by the electric power service provider as an agent of the electric power user has deviation from the actual settlement electric quantity. Market managers have certain penalties for this deviation in order to operate the market more efficiently and to run the power system more reliably.
Currently, China is in a market mode of transition from medium-long term trading market to medium-long term trading and spot trading, spot trading trial is just developed in part of provinces and cities, and daily trading settlement is not realized. Most provinces, such as Hunan and Anhui, do not establish spot transactions, carry out medium-long term transactions of monthly settlement, and the electric quantity deviation settlement mechanism caused in months brings huge deviation punishment cost for electric power service providers. Therefore, the electric power service provider has important research significance for selecting a reasonable compensation strategy to effectively stimulate the controllable load to participate in the transaction by taking the benefit maximization of the electric quantity deviation penalty cost into consideration according to the load demand and the output uncertainty of the distributed power supply.
In the prior art, a fixed electricity price compensation mode is mainly adopted to transfer controllable loads to participate in balancing deviation electric quantity, and the influence of preference selection of different users on different electricity prices on the controllable loads of the power service provider dispatching is not considered.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: aiming at the technical problems in the prior art, the invention provides a flexible method and a decision circuit for controllable load of an electric power service provider, which have high participation enthusiasm of controllable load users and can effectively reduce the operation cost of the electric power service provider and avoid the penalty of deviation electric quantity.
In order to solve the technical problems, the invention adopts the following technical scheme:
a flexible decision-making method for controllable load of an electric power service provider for avoiding penalty of deviation electric quantity comprises the following steps:
step S1: the monthly electric quantity is distributed to each day according to the load prediction result, and the daily distributed electric quantity is QfStoring the data in a first database;
step S2: load prediction module predicts latest day-ahead load electricity consumption QdThe first comparison module extracts Q of the day in the first databasefThe difference between the two is used to obtain the daily deviation electric quantity QrpThe wireless data receiving module judges QrpAccording to the result, the user declaration power increasing/decreasing information is transmitted to the data storage module;
step S3: the power compensation price calculation module receives the user information transmitted by the data storage module, extracts power declaration quantity information, calculates a user x and obtains economic compensation, wherein x belongs to 1, 2.. and n;
step S4: the second database receives the user information transmitted from the data storage module, extracts the participation degree and the compensation cost coefficient information of the user x, and sends the participation degree and the compensation cost coefficient information to the compensation cost calculation module, so that the power compensation cost of the user x is calculated;
step S5: the profit calculation module calculates user profits according to the received economic compensation and power compensation cost information obtained by the user x, finds the user with the highest profit from the n profit calculation results through the circuit, and sends declaration information of the user to the electric quantity calculation module;
step S6: the data are sequentially calculated by the electric quantity calculating module and the accumulating module to obtain the electric quantity to be adopted for declaration, and the third comparator compares the electric quantity to be adopted for declaration by the user with the daily deviation electric quantity for optimization, so that the electric power service provider obtains a controllable load adjusting scheme with the highest comprehensive benefit.
As a further improvement of the invention: in the step S2:
if Qrp>0, extracting power increase declaration information of n controllable load users participating in the market according toSequentially sending the data to a power increasing calculation module for power increasing price calculation;
if Qrp<0, extracting power reduction declaration information of n controllable load users participating in the market; push buttonSequentially sending the data to a power reduction calculation module for power reduction price calculation;
if QrpNo action when being equal to 0;
the first counter and the second counter automatically count each time the power increasing/decreasing reporting amount is sent.
As a further improvement of the invention: in the step S3:
the power increase price calculation module calculates the power increase of the user x according to the formula (1)Economic compensation ofWherein x ∈ 1,2, …, n, and sending the calculation result to the profit calculation module, the concrete formula is as follows:
wherein ,k compensation prices provided for the electricity service provider to power up the controllable load customers,k power increase reference values;
the derating price calculation module calculates a derating economic compensation for user x (where x ∈ 1,2, …, n) according to equation (2)And sending the calculation result to a profit calculation module, wherein the concrete formula is as follows:
wherein ,for the power service provider to reduce the power provided by the power consumer for the controllable load by one compensation price,is the power down reference value.
As a further improvement of the invention: in the step S4:
the power increasing compensation cost calculation module receives the power increasing user information and calculates the power increasing compensation cost according to the formula (3)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
wherein , the first-order coefficient and the second-order coefficient of the power increasing cost function of the controllable load user x,a type parameter indicating that the controllable load user x is willing to participate in power increase;
the power reduction compensation cost calculation module receives the power reduction user information and calculates the power reduction compensation cost according to the formula (4)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
wherein , the first and second order coefficients representing the user x power reduction cost function,a type parameter indicating that user x is willing to participate in power down.
As a further improvement of the invention: in the step S5:
the profit calculation module calculates the compensation profit E of the user x according to the formula (5)xAnd sending the calculation result to a second comparator:
wherein, the beta + and the beta-are variables of 0-1, receiving power increasing related information beta + ═ 1, and receiving power decreasing related information beta- ═ 1;
the second comparator receives E sent by the profit calculation modulexAnd extracting the stored data in the temporary storage and ExComparing, inputting the larger comparison result into the temporary storage to replace the original stored data;
when the counting value of the first counter reaches n, the first counter outputs a signal to the temporary storage device, and the temporary storage device stores data EmaxAnd inputting the data to an electric quantity calculating module.
As a further improvement of the invention: in the step S6:
the electric quantity calculation module extracts E from the second databasemaxCorresponding to the power increasing/decreasing amount and the power increasing/decreasing time of the user, and multiplying the two to obtain the corresponding compensation electric quantity QmaxSending the calculation result to an accumulation module;
the accumulation module receives the electric quantity QmaxIs accumulated with the original data stored by the accumulation moduleThe calculation result replaces the original data to be stored, and meanwhile, the calculation result is sent to a third comparator;
the third comparator compares Qrp,The difference between the two is △ QmaxIf △ Qmax>0, the third comparator outputs a signal to the resetter and to a third database, which stores QmaxThe power declaration quantity information of the corresponding user is used for tomorrow scheduling, the restorer sends signals to the data storage module and the first counter, the data storage module restarts sending the power declaration information of the user, and the first counter restarts counting from 0 receiving signals;
if △ QmaxThe third comparator outputs a signal to a third database and a terminator, the third database storing QmaxThe power declaration quantity information of the corresponding user is used for tomorrow scheduling, the terminator receives the signal and sends a termination signal to the data storage module, and the data storage module stops outputting the power declaration quantity information;
if △ Qmax<0, the third comparator outputs a signal to a third database storing Q and to a terminatormaxCorresponding to the power declaration quantity information of the user, the compensation quantity is △ QmaxThe terminator is used for scheduling in the tomorrow, receiving the signal and sending a termination signal to the data storage module, and the data storage module stops outputting the power declaration amount information;
and when the statistical value of the second counter reaches n (n-1.) the second counter sends a signal to the terminator, and the terminator enables the data storage module to stop transmitting the power reporting amount information.
The invention further provides an electric power service provider controllable load flexible decision circuit for avoiding the penalty of deviation electric quantity, which comprises:
the first database is used for distributing monthly electric quantity purchased by an electric power service provider to each day according to load prediction results, and the daily distributed electric quantity purchased is QfAnd storing the data in a first database;
a load prediction module for predicting the latest day-ahead load electricity consumption QdAnd Q isdInputting the data into a first comparator, receiving the signal by the first comparator, and extracting the day Q from the first databasefThe difference between the two is made to adjust the electric quantity QrpIf Q isrp>0, the first comparator sends a signal to a wireless receiving module for receiving the report information of the controllable load user, the wireless receiving module extracts the power increasing report information of the user and sends the power increasing report information to a data storage module, and the data storage module increases the power of the received n controllable user reportsSequentially sending the data to a power increase price calculation module and a second database;
the first counter and the second counter automatically add 1 when the data storage module sends the power increment/decrement reporting quantity every time.
As a further improvement of the invention: if Qrp<0, the first comparator sends a signal to a wireless receiving module for receiving the report information of the controllable load user, the wireless receiving module extracts the report information of the user power reduction and sends the report information to a data storage module, and the data storage module reduces the power of the received n controllable user reportsAnd the data are sequentially sent to the power reduction price calculation module and the second database.
As a further improvement of the invention: if QrpWhen 0, the first comparator does not operate.
Compared with the prior art, the invention has the advantages that:
1. the flexible method and the decision circuit for avoiding the deviation electric quantity punishment and controlling the load of the electric power service provider not only design the power adjustment compensation contract of the multi-option controllable load in a sectional price form, but also can provide various price options for users, and select the optimal compensation contract combination for the electric power service provider through the flexible decision circuit.
2. The electric power service provider controllable load flexible method and the decision circuit for avoiding the penalty of the deviation electric quantity can improve the income of users participating in demand response, thereby effectively mobilizing the enthusiasm of the users participating in the demand response, balancing the deviation electric quantity, reducing the monthly deviation checking penalty from a trading center and finally reducing the operation cost of the electric power service provider.
3. The method considers the deviation punishment from the medium-long term transaction contract, and calculates the daily adjustment electric quantity brought by the deviation between the competitive bidding electric quantity of the electric power service provider and the actual electric power purchasing quantity; the controllable load on the demand side is used as a schedulable resource, daily declaration adjustable electric quantity information selected by a controllable load user based on a multi-option controllable load power adjustment compensation contract in a sectional price form is received, optimization is carried out through the circuit, a scheduling scheme with the highest comprehensive profit is selected for execution, the enthusiasm of the controllable load user is effectively improved, and therefore the deviation assessment penalty cost from a trading center at the end of a month is reduced, and finally the operation cost of an electric power service provider is reduced.
Drawings
Fig. 1 is a schematic circuit structure diagram of a flexible decision method for a controllable load of an electric power service provider for avoiding penalty of deviation electric quantity.
FIG. 2 is a diagram illustrating the optimization results of a demand response plan in different scenarios.
FIG. 3 is a schematic diagram of the operating cost of the electricity service provider in different scenes in month 6.
Detailed Description
The invention will be described in further detail below with reference to the drawings and specific examples.
As shown in fig. 1, the method for flexibly deciding the controllable load of the power service provider for avoiding the penalty of the deviation electric quantity of the present invention includes the following steps:
step S1: the monthly electric quantity is distributed to each day according to the load prediction result, and the daily distributed electric quantity is QfStoring the data in a first database;
step S2: load prediction module predicts latest day-ahead load electricity consumption QdThe first comparison module extracts Q of the day in the first databasefThe difference between the two is used to obtain the daily deviation electric quantity QrpThe wireless data receiving module judges QrpAccording to the result, the user declaration power increasing/decreasing information is transmitted to the data storage module;
step S3: the power compensation price calculation module receives the user information transmitted by the data storage module, extracts power declaration quantity information and calculates economic compensation obtained by a user x (wherein x belongs to 1, 2.. and n);
step S4: the second database receives the user information transmitted from the data storage module, extracts the participation degree and the compensation cost coefficient information of the user x, and sends the participation degree and the compensation cost coefficient information to the compensation cost calculation module, so that the power compensation cost of the user x is calculated;
step S5: the profit calculation module calculates user profits according to the received economic compensation and power compensation cost information obtained by the user x, finds the user with the highest profit from the n profit calculation results through the circuit, and sends declaration information of the user to the electric quantity calculation module;
step S6: the data are sequentially calculated by the electric quantity calculating module and the accumulating module to obtain the electric quantity to be adopted for declaration, and the third comparator compares the electric quantity to be adopted for declaration by the user with the daily deviation electric quantity for optimization, so that the electric power service provider obtains a controllable load adjusting scheme with the highest comprehensive benefit.
In a specific application example, in step S2:
if Qrp>0, extracting power increase declaration information of n controllable load users participating in the market according toSequentially sending the data to a power increasing calculation module for power increasing price calculation;
if Qrp<0, extracting power reduction declaration information of n controllable load users participating in the market; push buttonSequentially sending the data to a power reduction calculation module for power reduction price calculation;
if QrpNo action when being equal to 0;
the first counter and the second counter automatically count each time the power increment/decrement reporting quantity is sent.
In the specific application example, in the step S3, if Q is setrp>0, extracting power increase declaration information of n controllable load users participating in the market according toSequentially sending the data to a power increasing calculation module for power increasing price calculation;
if Qrp<0, extracting power reduction declaration information of n controllable load users participating in the market; push buttonSequentially sending the data to a power reduction calculation module for power reduction price calculation;
if QrpNo action when being equal to 0;
the first counter and the second counter automatically count each time the power increasing/decreasing reporting amount is sent.
In a specific application example, in step S4:
the power increasing compensation cost calculation module receives the power increasing user information and calculates the power increasing compensation cost according to the formula (3)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
wherein , the first-order coefficient and the second-order coefficient of the power increasing cost function of the controllable load user x,a type parameter indicating that the controllable load user x is willing to participate in power up.
The power reduction compensation cost calculation module receives the power reduction user information and calculates the power reduction compensation cost according to the formula (4)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
wherein , the first and second order coefficients representing the user x power reduction cost function,a type parameter indicating that user x is willing to participate in power down.
In a specific application example, in step S5:
the profit calculation module calculates the compensation profit E of the user x according to the formula (5)xAnd sending the calculation result to a second comparator:
wherein, the beta + and the beta-are variables of 0-1, receiving power increasing related information beta + ═ 1, and receiving power decreasing related information beta- ═ 1;
the second comparator receives E sent by the profit calculation modulexAnd extracting the stored data in the temporary storage and ExComparing, inputting the larger comparison result into the temporary storage to replace the original stored data;
when the counting value of the first counter reaches n, the first counter outputs a signal to the temporary storage device, and the temporary storage device stores data EmaxAnd inputting the data to an electric quantity calculating module.
In a specific application example, in step S6:
the electric quantity calculation module extracts E from the second databasemaxCorresponding to the power increasing/decreasing amount and the power increasing/decreasing time of the user, and multiplying the two to obtain the corresponding compensation electric quantity QmaxSending the calculation result to an accumulation module;
the accumulation module receives the electric quantity QmaxIs accumulated with the original data stored by the accumulation moduleThe calculation result replaces the original data to be stored, and meanwhile, the calculation result is sent to a third comparator;
the third comparator compares Qrp,The difference between the two is △ QmaxIf △ Qmax>0, the third comparator outputs a signal to the resetter and to a third database, which stores QmaxThe power declaration quantity information of the corresponding user is used for tomorrow scheduling, the restorer sends signals to the data storage module and the first counter, the data storage module restarts sending the power declaration information of the user, and the first counter restarts counting from 0 receiving signals;
if △ QmaxThe third comparator outputs a signal to a third database and a terminator, the third database storing QmaxThe power declaration quantity information of the corresponding user is used for tomorrow scheduling, the terminator receives the signal and sends a termination signal to the data storage module, and the data storage module stops outputting the power declaration quantity information;
if △ Qmax<0, the third comparator outputs a signal to a third database storing Q and to a terminatormaxCorresponding to the power declaration quantity information of the user, the compensation quantity is △ QmaxThe terminator is used for scheduling in the tomorrow, receiving the signal and sending a termination signal to the data storage module, and the data storage module stops outputting the power declaration amount information;
and when the statistical value of the second counter reaches n (n-1.) the second counter sends a signal to the terminator, and the terminator enables the data storage module to stop transmitting the power reporting amount information.
The invention further provides an electric power service provider controllable load flexible decision circuit for avoiding the penalty of deviation electric quantity, which comprises:
the first database is used for distributing monthly electric quantity purchased by an electric power service provider to each day according to load prediction results, and the daily distributed electric quantity purchased is QfAnd storing the data in a first database;
a load prediction module for predicting the latest day-ahead load electricity consumption QdAnd Q isdInputting the data into a first comparator, receiving the signal by the first comparator, and extracting the day Q from the first databasefThe difference between the two is made to adjust the electric quantity QrpIf Q isrp>0, the first comparator sends a signal to a wireless receiving module for receiving the report information of the controllable load user, the wireless receiving module extracts the power increasing report information of the user and sends the power increasing report information to a data storage module, and the data storage module increases the power of the received n controllable user reportsSequentially sending the data to a power increase price calculation module and a second database;
the first counter and the second counter automatically add 1 when the data storage module sends the power increment/decrement reporting quantity every time.
Taking a specific application of a typical day of 6 months in a certain commercial community as an example, the distributed electricity quantity of the day is QfThe load forecasting module forecasts the latest day-ahead load electricity consumption QdIs mixing Q withdInputting the data into a comparator 1, receiving the signal by the comparator, extracting the day Q in the first databasefThe difference between the two is obtained as daily balance electric quantity Qrp。
Qrp>0, the comparator 1 sends a signal to a wireless receiving module for receiving the reporting information of the controllable load user, the wireless receiving module extracts the power increasing reporting information of the user and sends the power increasing reporting information to a data storage module, and the data storage module increases the power of the received 7 controllable user reportsSequentially sending the data to a power increase price calculation module and a second database;
the power increase price calculation module receives the power increase reporting amount information and calculates according to the formula (1) Corresponding user 1 power-added economic compensation
The second database receives the data from the data storage moduleSending information, receiving information asWill be provided withAnd extracting and sending the corresponding user information to the power increasing compensation cost calculation module.
The power increasing compensation cost calculation module receives the user information sent by the second database and calculates the power increasing compensation cost according to a formula (3)And sending the calculation result to the profit calculation module.
The profit calculation module receives the power-increasing compensation price module and the power-increasing compensation cost calculation module sends information to calculate the compensation profit E of the user 1 according to the formula (5)1And sending the calculation result to a second comparator:
e sent by comparator receiving profit calculation module1And extracting initial values 0 and E of the stored data in the temporary storage1To make a comparison, E1Larger, input into the temporary storage to replace the original stored data;
the data storage module outputs for 7 times, when the statistic value of the first counter reaches 7, the first counter outputs a signal to the temporary storage, and the temporary storage stores data E3Inputting the data to an electric quantity calculation module;
the electric quantity calculation module extracts E from the data storage module3Corresponding to the power increasing amount and the power increasing time of the user, and multiplying the power increasing amount and the power increasing time to obtain corresponding compensation electric quantity Q3Sending the calculation result to an accumulation module;
the accumulation module receives the electric quantity Q3∑ Q is obtained by accumulating the original data 0 stored by the accumulation module3The calculation result replaces the original data to be stored, and meanwhile, the calculation result is sent to the comparison module 3;
the third comparator compares Qrp,∑Q3The difference between the two is △ Q3And △ Q3>0, the third comparator outputs a signal toA restorer and a third database, the third database storing Q3Corresponding to the user power reporting amount information for tomorrow scheduling, the repositor sends signals to the data storage module and the first counter, and the data storage module restarts sending the user reporting power information but does not send Q3According to the reported power quantity of the user, the first counter receives signals and starts counting from 0 again, and the counter sends signal critical values to the temporary storage to be assigned to 6 again;
the data storage module continues to output the power increasing reporting information, and after the circuit is optimized for multiple times, the third database stores Q in sequence5,Q1Increase power reporting information until a third comparator decision △ Q6<0, the comparison module 3 outputs a signal to a third database and a terminator, and the third database stores Q6Corresponding to the user power declaration quantity information, the compensation quantity is △ Q6And the terminator receives the signal and sends a termination signal to the data storage module, and the data storage module stops outputting the power declaration amount information.
Finally, the typical day selection controllable load users 1, 3, 5 and 6 participate in the electricity quantity adjustment of the day, and the adjusted electricity quantity is Q1+Q3+Q5+△Q6
Taking a specific application of the business community for 6 months as an example, the balance effect of the demand response plan is set and contrasted and analyzed in three scenes. In scenario 1, all loads are traditional loads, i.e., no demand response plan is started; in a scene 2, an electric power service provider adopts fixed compensation electricity price to excite a controllable load to stabilize deviation electric quantity; in scenario 3, the circuit of the invention is used for optimization to excite controllable load balance deviation electric quantity. The optimization result of the demand response plan under different scenes is shown in FIG. 2. The operating cost of the electricity service provider for different scenes in 6 months is shown in figure 3.
As can be seen from fig. 2 and 3, in the method and circuit scenario 3 of the present invention, the user response aggressiveness is the highest, and the deviation assessment cost is the lowest, but due to the constraints of the controllable load power adjustment duration, the power adjustment frequency, etc., the deviation electric quantity still exists, but the total cost is the lowest in the 3 scenarios, and the deviation electric quantity compensation effect is the best.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may be made by those skilled in the art without departing from the principle of the invention.
Claims (9)
1. A flexible decision-making method for controllable load of an electric power service provider for avoiding penalty of deviation electric quantity is characterized by comprising the following steps:
step S1: the monthly electric quantity is distributed to each day according to the load prediction result, and the daily distributed electric quantity is QfStoring the data in a first database;
step S2: load prediction module predicts latest day-ahead load electricity consumption QdThe first comparison module extracts Q of the day in the first databasefThe difference between the two is used to obtain the daily deviation electric quantity QrpThe wireless data receiving module judges QrpAccording to the result, the user declaration power increasing/decreasing information is transmitted to the data storage module;
step S3: the power compensation price calculation module receives the user information transmitted by the data storage module, extracts power declaration quantity information, calculates a user x and obtains economic compensation, wherein x belongs to 1, 2.. and n;
step S4: the second database receives the user information transmitted from the data storage module, extracts the participation degree and the compensation cost coefficient information of the user x, and sends the participation degree and the compensation cost coefficient information to the compensation cost calculation module, so that the power compensation cost of the user x is calculated;
step S5: the profit calculation module calculates user profits according to the received economic compensation and power compensation cost information obtained by the user x, finds the user with the highest profit from the n profit calculation results through the circuit, and sends declaration information of the user to the electric quantity calculation module;
step S6: the data are sequentially calculated by the electric quantity calculating module and the accumulating module to obtain the electric quantity to be adopted for declaration, and the third comparator compares the electric quantity to be adopted for declaration by the user with the daily deviation electric quantity for optimization, so that the electric power service provider obtains a controllable load adjusting scheme with the highest comprehensive benefit.
2. The electric power facilitator-controlled load flexible decision method for avoiding biased power penalty as claimed in claim 1, wherein said step S2 is:
if Qrp>0, extracting power increase declaration information of n controllable load users participating in the market according toSequentially sending the data to a power increasing calculation module for power increasing price calculation;
if Qrp<0, extracting power reduction declaration information of n controllable load users participating in the market; push buttonSequentially sending the data to a power reduction calculation module for power reduction price calculation;
if QrpNo action when being equal to 0;
the first counter and the second counter automatically count each time the power increasing/decreasing reporting amount is sent.
3. The electric power facilitator-controlled load flexible decision method for avoiding biased power penalty as claimed in claim 1, wherein said step S3 is:
the power increase price calculation module calculates the power increase of the user x according to the formula (1)Economic compensation ofWherein x ∈ 1,2, …, n, and sending the calculation result to the profit calculation module, the concrete formula is as follows:
wherein ,k compensation prices provided for the electricity service provider to power up the controllable load customers,k power increase reference values;
the derating price calculation module calculates a derating economic compensation for user x (where x ∈ 1,2, …, n) according to equation (2)And sending the calculation result to a profit calculation module, wherein the concrete formula is as follows:
4. The electric power facilitator-controlled load flexible decision method for avoiding biased power penalty as claimed in claim 1, wherein said step S4 is:
the power increasing compensation cost calculation module receives the power increasing user information and calculates the power increasing compensation cost according to the formula (3)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
wherein ,the first-order coefficient and the second-order coefficient of the power increasing cost function of the controllable load user x,a type parameter indicating that the controllable load user x is willing to participate in power increase;
the power reduction compensation cost calculation module receives the power reduction user information and calculates the power reduction compensation cost according to the formula (4)And sending the calculation result to a profit calculation module, wherein the specific calculation formula is as follows:
5. The electric power facilitator-controlled load flexible decision method for avoiding biased power penalty as claimed in claim 1, wherein said step S5 is:
the profit calculation module calculates the compensation profit E of the user x according to the formula (5)xAnd sending the calculation result to a second comparator:
wherein β+,β-For the 0-1 variable, receive power up related information β+Receiving the reduced power related information β at 1-=1;
The second comparator receives E sent by the profit calculation modulexAnd extracting the stored data in the temporary storage and ExComparing, inputting the larger comparison result into the temporary storage to replace the original stored data;
when the counting value of the first counter reaches n, the first counter outputs a signal to the temporary storage device, and the temporary storage device stores data EmaxAnd inputting the data to an electric quantity calculating module.
6. The electric power facilitator-controlled load flexible decision method for avoiding biased power penalty as claimed in claim 1, wherein said step S6 is:
the electric quantity calculation module extracts E from the second databasemaxCorresponding to the power increasing/decreasing amount and the power increasing/decreasing time of the user, and multiplying the two to obtain the corresponding compensation electric quantity QmaxSending the calculation result to an accumulation module;
the accumulation module receives the electric quantity QmaxIs accumulated with the original data stored by the accumulation moduleThe calculation result replaces the original data to be stored, and meanwhile, the calculation result is sent to a third comparator;
the third comparator compares Qrp,The difference between the two is △ QmaxIf △ Qmax>0, the third comparator outputs a signal to the resetter and to a third database, which stores QmaxCorresponding to the power declaration information of the user for tomorrow scheduling, and the restorer stores the dataThe module and the first counter send signals, the data storage module restarts sending power declaration information of the user, and the first counter restarts counting from 0 after receiving the signals;
if △ QmaxThe third comparator outputs a signal to a third database and a terminator, the third database storing QmaxThe power declaration quantity information of the corresponding user is used for tomorrow scheduling, the terminator receives the signal and sends a termination signal to the data storage module, and the data storage module stops outputting the power declaration quantity information;
if △ Qmax<0, the third comparator outputs a signal to a third database storing Q and to a terminatormaxCorresponding to the power declaration quantity information of the user, the compensation quantity is △ QmaxThe terminator is used for scheduling in the tomorrow, receiving the signal and sending a termination signal to the data storage module, and the data storage module stops outputting the power declaration amount information;
and when the statistical value of the second counter reaches n (n-1.) the second counter sends a signal to the terminator, and the terminator enables the data storage module to stop transmitting the power reporting amount information.
7. An electric power service provider controllable load flexible decision circuit for avoiding deviation electric quantity punishment is characterized by comprising:
the first database is used for distributing monthly electric quantity purchased by an electric power service provider to each day according to load prediction results, and the daily distributed electric quantity purchased is QfAnd storing the data in a first database;
a load prediction module for predicting the latest day-ahead load electricity consumption QdAnd Q isdInputting the data into a first comparator, receiving the signal by the first comparator, and extracting the day Q from the first databasefThe difference between the two is made to adjust the electric quantity QrpIf Q isrp>0, the first comparator sends a signal to a wireless receiving module for receiving the report information of the controllable load user, the wireless receiving module extracts the power increasing report information of the user and sends the power increasing report information to a data storage module, and the data storage module increases the power of the received n controllable user reportsSequentially sending the data to a power increase price calculation module and a second database;
the first counter and the second counter automatically add 1 when the data storage module sends the power increment/decrement reporting quantity every time.
8. The electric power facilitator-controlled load flexible decision circuit for circumventing biased power penalty as claimed in claim 7, wherein Q is Qrp<0, the first comparator sends a signal to a wireless receiving module for receiving the report information of the controllable load user, the wireless receiving module extracts the report information of the user power reduction and sends the report information to a data storage module, and the data storage module reduces the power of the received n controllable user reportsAnd the data are sequentially sent to the power reduction price calculation module and the second database.
9. The electric power facilitator-controlled load flexible decision circuit for circumventing biased power penalty as claimed in claim 7, wherein Q is QrpWhen 0, the first comparator does not operate.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002315191A (en) * | 2001-04-13 | 2002-10-25 | Hitachi Ltd | Power supply and demand control method and apparatus therefor |
JP2006158189A (en) * | 2004-11-04 | 2006-06-15 | Tokyo Electric Power Co Inc:The | Cost minimization power control system using combination of electric power transaction and distributed power supply |
JP2007065954A (en) * | 2005-08-31 | 2007-03-15 | Toshiba Corp | Power market analysis support system and method, and program |
CN107292515A (en) * | 2017-06-21 | 2017-10-24 | 重庆大学 | A kind of power network multi-agent system dispatching method based on Demand-side scheduling capacity reporting policy game |
CN109543910A (en) * | 2018-11-27 | 2019-03-29 | 长沙理工大学 | A kind of sale of electricity company electricity robutness bounds circuit and method considering deviation examination punishment |
DE102018001980A1 (en) * | 2018-03-12 | 2019-09-12 | Olaf Berberich | Procedure for a virtual, decentralized, user-controlled power plant |
CN110689239A (en) * | 2019-09-11 | 2020-01-14 | 新奥数能科技有限公司 | Auxiliary decision-making method and system for realizing income maximization by participation of power users in market |
CN110728410A (en) * | 2019-10-16 | 2020-01-24 | 重庆大学 | Load aggregator economic scheduling method considering demand response flexibility and uncertainty |
CN110909910A (en) * | 2019-09-18 | 2020-03-24 | 浙江大学 | Novel deviation electric quantity checking mechanism optimization design method based on PBR |
-
2020
- 2020-04-30 CN CN202010363439.6A patent/CN111639963B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002315191A (en) * | 2001-04-13 | 2002-10-25 | Hitachi Ltd | Power supply and demand control method and apparatus therefor |
JP2006158189A (en) * | 2004-11-04 | 2006-06-15 | Tokyo Electric Power Co Inc:The | Cost minimization power control system using combination of electric power transaction and distributed power supply |
JP2007065954A (en) * | 2005-08-31 | 2007-03-15 | Toshiba Corp | Power market analysis support system and method, and program |
CN107292515A (en) * | 2017-06-21 | 2017-10-24 | 重庆大学 | A kind of power network multi-agent system dispatching method based on Demand-side scheduling capacity reporting policy game |
DE102018001980A1 (en) * | 2018-03-12 | 2019-09-12 | Olaf Berberich | Procedure for a virtual, decentralized, user-controlled power plant |
CN109543910A (en) * | 2018-11-27 | 2019-03-29 | 长沙理工大学 | A kind of sale of electricity company electricity robutness bounds circuit and method considering deviation examination punishment |
CN110689239A (en) * | 2019-09-11 | 2020-01-14 | 新奥数能科技有限公司 | Auxiliary decision-making method and system for realizing income maximization by participation of power users in market |
CN110909910A (en) * | 2019-09-18 | 2020-03-24 | 浙江大学 | Novel deviation electric quantity checking mechanism optimization design method based on PBR |
CN110728410A (en) * | 2019-10-16 | 2020-01-24 | 重庆大学 | Load aggregator economic scheduling method considering demand response flexibility and uncertainty |
Non-Patent Citations (1)
Title |
---|
徐江平: "计及风险规避的电力零售商需求响应管理及储能配置研究" * |
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