CN110797861B - Control method of distributed intelligent power grid monitoring system based on prosumers and consummates - Google Patents
Control method of distributed intelligent power grid monitoring system based on prosumers and consummates Download PDFInfo
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Abstract
The invention belongs to the field of distributed power grid monitoring, and particularly discloses a control method of a distributed intelligent power grid monitoring system based on a producer and a consumer, which comprises the following steps: the user is used for consuming electricity and generating electricity, each module i respectively calculates the upper and lower bound parameters of the electricity generation quantity and the electricity quantity of the electricity transmitted to any other module j in an iterative mode, the calculation result is sent to each module j after each iterative calculation until all the parameters are converged, the evaluation comprises the evaluation of the electricity generation capacity of all the modules in the power grid based on historical data, the transmission parameters related to the carbon emission evaluation value and the transmission cost of all the modules are set, and the environment friendliness is fully considered. During convergence, each user carries out free trading according to trading price and electric quantity generated between the user and each user or power supply party, through participation of the producer and the consumer, the selectable property of the user to the power supply party is enhanced, reliable electric energy is provided for the user, self-consumption of the electric energy of the producer and the consumer is promoted, and in addition, through distributed monitoring, the privacy of the user is also greatly protected.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to a control method of a distributed intelligent power grid monitoring system based on a producer and a consumer.
Background
In recent years, with the rapid development of new energy power generation technology, the application of the new energy power generation technology is distributed to every household. Although more and more places begin to be distributed with the distributed new energy power generation system, the new energy power generation technology has larger randomness due to the close correlation with uncertain factors such as weather, climate and the like, and further the new energy is threatened to the reliable operation of a power grid after being connected to the power grid; due to the fact that randomness is high, operation is unstable, new energy power generation is not accepted and consumed by the public, and power abandonment happens sometimes. In addition, the traditional power grid adopts a centralized monitoring method, so that the reliability and the operation of the traditional power grid are not good, and the power utilization information of a user needs to be transmitted to centralized monitoring equipment, so that the problem of user privacy disclosure is easily caused.
Therefore, the technical problems that the electric quantity generated by new energy is difficult to accept and consume by the public, and privacy is leaked in a centralized monitoring method and the like exist in the prior art.
Disclosure of Invention
The invention provides a control method of a distributed intelligent power grid monitoring system based on a producer and a consumer, which is used for solving the technical problem of low practicability caused by the fact that the electric quantity generated by new energy is difficult to be accepted and consumed by the public and privacy is leaked due to centralized monitoring in the existing power grid monitoring method.
The technical scheme for solving the technical problems is as follows: a control method of a distributed intelligent power grid monitoring system based on a producer and a consumer comprises a plurality of distributed power generation modules and a plurality of user modules, wherein each of the power generation modules and the user modules comprises a calculation unit and an information transmission unit, the calculation unit is used for calculating control parameters, and the information transmission unit is used for transmitting the control parameters; the modules are connected through power transmission lines and used for transmitting electric energy and transmitting information;
the distributed power generation modules comprise a traditional energy power generation module and a renewable energy power generation module; each user module comprises an energy storage unit and a renewable energy power generation unit, and is used for power generation and power utilization;
controlling the monitoring system by:
(1) based on historical weather data, preliminarily predicting the power generation amount of each module, and based on the historical power generation data of each module and the preliminarily predicted power generation amount, obtaining the cost parameter a of the modulei，bi，di；
Cost of
Wherein c isiIs the power generation of module i, EiGenerating an electrical quantity c for a module iiRequired cost, ai、bi、diAll the parameters are related to power production of the module i based on historical power generation data;
(2) according to each power generation moduleAnd estimating the carbon emission and the transmission cost of the user module, and setting the transmission parameter f between the modulesijWherein f isijRepresenting the transmission parameters from module i to module j;
(3) estimated price p for module i to module j power transferijThe module i transmits the electric quantity g of the electric power to the module jijAnd the module j transmits the electric quantity g of the electric power to the module ijiUpper bound parameter h of module iiAnd a parameter l below the module jiAnd the auxiliary price r of the module i to the module jijSelecting an initial value;
(4) calculating the estimated price of power transmission from the module i to the module j obtained by the current k +1 iterations by using the information obtained by the last iteration from the 1 st iteration by adopting the calculation units in each power generation module and each user module according to the following formula
For power transfer balancing between modules;
wherein
The estimated price for module j to transmit power to module i for the kth iteration,
the resulting module i for the kth iteration transfers the amount of power to module j,
transmitting the electric quantity of the power to the module i for the module j obtained by the k iteration;
(5) based on each power generation module and a calculation module in the user module, from the 1 st time, by using the information obtained by the last iteration, calculating the upper bound parameter obtained by the current k +1 iterations of the module i through the following formula
And lower bound parameters
Wherein
The resulting upper bound parameter for the kth iteration of module i,
lower bound parameter, m, calculated for the kth iteration of module iiIs the upper power limit, s, of module iiIs the lower power limit of module i;
(6) based on the calculation units in each power generation module and each user module, each module i calculates the electric quantity of power transmitted from the module i to the module j through the sub-steps of calculating the electric quantity of power transmitted from the module i to the module j through the module i obtained by the (k + 1) th iteration by using the information obtained by the last iteration
i) Calculating the auxiliary price of the k-th module i to the module j by the following formula:
wherein gamma is a normal number;
ii) if the module i is a power generation module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following steps
If it is
If the value of (A) is positive, then
If it is
If not positive, then
If the module i is a user module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following formula
(7) Each module transmits the information obtained by iteration to other modules through the information transmission unit of the module to carry out the next iteration calculation;
(8) repeating the steps (5) - (8) until the estimated price obtained by two adjacent iterative computations of each module, the electric quantity transmitted between the modules and the difference value of the upper and lower boundary parameters of the modules do not exceed the set threshold, and at the moment, the module i transmits the electric quantity to the module j based on the information obtained by the current iterative computations
And at a price of
The upper limit of the electricity generation amount is
And a lower limit of electricity generation
The invention has the beneficial effects that: the invention provides a control method of a distributed intelligent power grid monitoring system based on a producer and a consumer, which is used for evaluating the power generation capacity of each power generation module and each user module based on historical data, greatly reducing the impact of the uncertainty of renewable energy sources on a power grid and enhancing the reliability of the power grid; the power generation quantity of each module is preliminarily predicted based on historical data, and data-driven distributed intelligent power grid monitoring is achieved; by setting transmission parameters f related to carbon emission evaluation values and transmission costs of each power generation module and each user moduleijThe consumption of renewable energy sources is promoted; through the participation of the user module, the selectable quality of a user to a power supply party is enhanced, and the flexibility and the selectivity of power utilization of the user are increased while the reliable electric energy is provided for the user. Through distributed monitoring, the privacy of the user is also greatly protected.
On the basis of the technical scheme, the invention can be further improved as follows.
Further, fijThe specific value taking mode is as follows: f is obtained by weighting and calculating the carbon emission evaluation values of the module i and the module j and the transmission cost of the module i to the module jijThe value is obtained.
The invention has the further beneficial effects that: the transmission parameters between the two modules are weighted and calculated by adopting the carbon emission evaluation value and the transmission cost of each module, so that the environmental friendliness of the transmission electric quantity between the two modules can be better reflected, and the reliability and the practicability of control are improved.
Drawings
Fig. 1 is a schematic block diagram of a monitoring system in a control method of a distributed smart grid monitoring system based on a producer and a consumer according to an embodiment of the present invention;
fig. 2 is a flowchart of a control method of a distributed smart grid monitoring system based on a producer and a consumer according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example one
A control method of a distributed intelligent power grid monitoring system based on a producer and a consumer is disclosed as 1, wherein the monitoring system 100 comprises a plurality of distributed power generation modules and a plurality of user modules, and each of the power generation modules and the user modules comprises a calculation unit and an information transmission unit, wherein the calculation unit is used for calculating control parameters, and the information transmission unit is used for transmitting the control parameters; the modules are connected through power lines and can transmit electric energy, and meanwhile, the modules are in communication connection and can transmit information;
the distributed power generation modules comprise a traditional energy power generation module and a renewable energy power generation module; each user module comprises an energy storage unit and a renewable energy power generation unit, and is used for power generation and power utilization;
as shown in fig. 2, the monitoring system is controlled by the following steps:
Cost of
Wherein c isiIs the power generation of module i, EiGenerating an electrical quantity c for a module iiRequired cost，ai、bi、diAll are power production related parameters of the module i obtained based on historical power generation data.
It should be noted that, according to the historical weather data of the environment where each module is located, the power generation amount of the module is predicted, so that through fitting, each cost parameter is obtained for calculating the transmission power amount, the power generation capacity of the module is considered in the calculated transmission power amount, and the compatibility is strong. The producer and consumer represent the generator and consumer, the generator is used for generating electricity and supplying power, and the consumer is used for consuming electricity and also can generate electricity and supply power.
It should be noted that the transmission parameters are determined according to the carbon emission evaluation value and the transmission cost, and the transmission parameters are used for iterative calculation of transmission power, so that the environmental-friendly problem can be well considered. The transmission parameters from the module i to the module j comprise transmission parameters from the power generation module to the power generation module, transmission parameters from the power generation module to the user module, transmission parameters from the user module to the user module, and transmission parameters from the user module to the power generation module.
Note that the estimated price has pijAlso has pjiThe estimated price for the electricity sold by module i to module j is shown. In addition, the upper and lower bound parameters are parameters related to the upper and lower limits of the power generation amount by which the module i can generate power. The auxiliary price has no specific physical meaning and is a parameter with the dimension of price. Wherein, the selected initial value can be selected at will according to actual needs.
based on each power generation module and a calculation module in the user module, from the 1 st time, by using the information obtained by the last iteration, calculating the upper bound parameter obtained by the current k +1 iterations of the module i through the following formula
And lower bound parameters
Wherein
The resulting upper bound parameter for the kth iteration of module i,
lower bound parameter, m, calculated for the kth iterationiThe upper power limit (known value, which can be obtained by predicting and/or fitting the relationship between the power production and the cost) of the module i, siIs the lower power limit of module i (is a known value, obtained in the same manner as m)i)；
Based on the calculation units in each power generation module and each user module, each module i calculates the electric quantity of power transmitted from the module i to the module j through the sub-steps of calculating the electric quantity of power transmitted from the module i to the module j through the module i obtained by the (k + 1) th iteration by using the information obtained by the last iteration
i) Calculating the auxiliary price of the k-th module i to the module j by the following formula:
wherein gamma is a normal number;
ii) if the module i is a power generation module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following steps
If it is
If the value of (A) is positive, then
If it is
If not positive, then
If the module i is a user module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following formula
It should be noted that, through the calculation of the above formulas, when the calculation results converge, the effective control of the distributed power grid can be realized, and the practicability is strong.
Each module transmits the information obtained by iteration to other modules through the information transmission unit of the module to carry out the next iteration calculation;
The range of each set threshold may be 10-5～10-2。
The method evaluates the power generation capacity of each power generation module and each user module based on historical data, greatly reduces the impact of the uncertainty of renewable energy sources on the power grid, and enhances the reliability of the power grid; the power generation quantity of each module is preliminarily predicted based on historical data, and data-driven distributed intelligent power grid monitoring is achieved; by setting transmission parameters f related to carbon emission evaluation values and transmission costs of each power generation module and each user moduleijThe consumption of renewable energy sources is promoted; through the participation of the user module, the selectable quality of a user to a power supply party is enhanced, and the flexibility and the selectivity of power utilization of the user are increased while the reliable electric energy is provided for the user. Through distributed monitoring, the privacy of the user is also greatly protected.
Preferably, fijThe specific value taking mode is as follows: f is obtained by weighting and calculating the carbon emission evaluation values of the module i and the module j and the transmission cost of the module i to the module jijThe value is obtained.
The transmission parameters between the two modules are weighted and calculated by adopting the carbon emission evaluation value and the transmission cost of each module, so that the environmental friendliness of the transmission electric quantity between the two modules can be better reflected, and the reliability and the practicability of control are improved.
To better illustrate the invention, examples are now given:
a distributed smart grid control method based on a prosumer comprises the following steps:
s1, controlling each module i in the distributed smart grid to respectively calculate the power generation upper bound parameter h of each module i in the distributed smart grid in an iterative manneriLower bound parameter l of power generationiAnd the electric quantity g of the electric power transmitted to any other module jijAnd after each iterative computation, sending the computation result to each module j:
upper bound parameter of power generation amount of current iteration number k +1
And when calculated
When the value is not more than 0,
the value is 0; lower bound parameter
And when calculated
When the value is not more than 0,
the value is 0;
when the module i is a power generation module, the electric quantity of the current iteration times k +1
And when
When the value is not more than 0,
the value is 0; when the module i is a user module, the
In the formula (I), the compound is shown in the specification,
for the auxiliary price of the k-th module i to the module j, and
gamma is a positive constant of the number of the particles,
an estimated price for the kth module j to transmit power to module i, and
fijfor the transmission parameter from module i to module j, miIs the upper limit of the power generation of module i, siIs the lower limit of the power generation of module i, ai、biAll are cost parameters of module i;
s2, p calculated if the k +1 th iteration and the k th iterationij、gij、hiAnd liIf the difference values are less than the preset value, the iterative calculation of S1 is stopped, and the module i transmits the electric quantity to the module j
And at a price of
The upper limit of the electricity generation amount is
And a lower limit of electricity generation
Otherwise, execution continues with S1.
It should be noted that the power generation amount upper limit parameter is a parameter related to a power generation amount upper limit, and the power generation amount lower limit parameter is a parameter related to a power generation amount lower limit. The auxiliary price is a parameter of the price in dimension, and has no specific physical meaning. Secondly, each module i is subjected to iterative computation for many times, when the estimated price, the transmission electric quantity, the upper bound parameter and the lower bound parameter between the module i and each module j are converged, at the moment, the optimal environment-friendly and optimal price are realized, the electric quantity consumption of each module can be effectively promoted, the freedom and the flexibility of electric quantity purchase and sale among the modules are improved, and the flexibility and the selectivity of power consumption of a user are increased. In addition, the control information of each module is calculated by the control information self, a large amount of self data does not need to be transmitted to a master control center, and the privacy of the information of each module is guaranteed.
The power generation module in the distributed intelligent power grid is provided with a traditional energy power generation module and/or a renewable energy power generation module; each user module in the distributed smart grid comprises a renewable energy power generation unit.
In addition, fijThe value of (a) is set according to the carbon emission evaluation values of the module i and the module j and the transmission cost of the module i to the module j. f. ofijThe specific value taking mode is as follows: f is obtained by weighting and calculating the carbon emission evaluation values of the module i and the module j and the transmission cost of the module i to the module jijThe value is obtained.
The above cost parameter ai、biThe value taking method comprises the following steps:
predicting the power generation amount of the module i by adopting a neural network based on historical weather data;
fitting to obtain a relational expression between the power generation amount of the module i and the required cost based on all the power generation amounts and the historical power generation data of the module i:
wherein, ai，bi，diAre all cost parameters of module i, ciIndicating the amount of electricity produced, EiRepresenting the required cost.
Before the first iteration, p is addedij、gij、hiAnd liInitial values are preset according to actual needs.
Control method, transmission parameter f, proposed by the methodijThe transmission efficiency of the user is represented, and the power configuration can be performed according to the power generation module and the carbon emission and transmission capacity of the user by setting the transmission parameters, so that the environmental friendliness of the system is enhanced while the resource configuration optimization is realized. When the system is provided for different prices, the user module can be controlled to select the most appropriate power supplier based on the transmission cost and the carbon emission condition, so that the utilization rate of renewable energy sources is enhanced.
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (2)
1. A control method of a distributed intelligent power grid monitoring system based on a producer and a consumer is characterized in that the monitoring system comprises a plurality of distributed power generation modules and a plurality of user modules, the power generation modules and the user modules respectively comprise a calculation unit and an information transmission unit, wherein the calculation unit is used for calculating control parameters, and the information transmission unit is used for transmitting the control parameters; the modules are connected through power transmission lines and used for transmitting electric energy and transmitting information;
the distributed power generation modules comprise a traditional energy power generation module and a renewable energy power generation module; each user module comprises an energy storage unit and a renewable energy power generation unit, and is used for power generation and power utilization;
controlling the monitoring system by:
(1) based on historical weather data, preliminarily predicting the power generation amount of each module, and based on the historical power generation data of each module and the preliminarily predicted power generation amount, obtaining the cost parameter a of the modulei，bi，di；
Cost of
Wherein c isiIs the power generation of module i, EiGenerating an electrical quantity c for a module iiRequired cost, ai、bi、diAll the parameters are related to power production of the module i based on historical power generation data;
(2) setting a transmission parameter f between the power generation modules according to the carbon emission evaluation values and the transmission cost of the power generation modules and the user modulesijWherein f isijRepresenting the transmission parameters from module i to module j;
(3) estimated price p for module i to module j power transferijThe module i transmits the electric quantity g of the electric power to the module jijAnd the module j transmits the electric quantity g of the electric power to the module ijiUpper bound parameter h of module iiLower bound parameter l of module jjAnd the auxiliary price r of the module i to the module jijSelecting an initial value;
(4) calculating the estimated price of power transmission from the module i to the module j obtained by the current k +1 iterations by using the information obtained by the last iteration from the 1 st iteration by adopting the calculation units in each power generation module and each user module according to the following formula
For power transfer balancing between modules;
wherein
The estimated price for power transmitted by module j to module i for the kth iteration,
the resulting module i for the kth iteration transfers the amount of power to module j,
transmitting the electric quantity of the power to the module i for the module j obtained by the k iteration;
(5) based on the calculation modules in each power generation module and user module, from 1 stUsing the information obtained from the last iteration to calculate the upper bound parameter of the module i obtained from the current k +1 iterations through the following formula
And lower bound parameters
Wherein
The resulting upper bound parameter for the kth iteration of module i,
lower bound parameter, m, calculated for the kth iterationiIs the upper power limit, s, of module iiIs the lower power limit of module i;
(6) based on the calculation units in each power generation module and each user module, each module i calculates the electric quantity of power transmitted from the module i to the module j through the sub-steps of calculating the electric quantity of power transmitted from the module i to the module j through the module i obtained by the (k + 1) th iteration by using the information obtained by the last iteration
i) Calculating the auxiliary price of the k-th module i to the module j by the following formula:
wherein gamma is a normal number;
ii) if the module i is a power generation module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following steps
If it is
If the value of (A) is positive, then
If it is
If not positive, then
If the module i is a user module, based on the auxiliary price, calculating the electric quantity of the power transmitted from the module i to the module j, which is obtained by the current k +1 iterations, through the following formula
(7) Each module transmits the information obtained by iteration to other modules through the information transmission unit of the module to carry out the next iteration calculation;
(8) repeating the steps (5) to (8) until the estimated price obtained by two adjacent iteration calculations of each module and the module are obtainedThe difference value between the transmitted electric quantity and the upper and lower boundary parameters of the module does not exceed the set threshold value, and at the moment, the module i transmits the electric quantity to the module j based on the information obtained by current iterative computation
And at a price of
The upper limit of the electricity generation amount is
And a lower limit of electricity generation
2. A control method of distributed smart grid monitoring system based on a producer and a consumer according to claim 1, characterized in that fijThe specific value taking mode is as follows: f is obtained by weighting and calculating the carbon emission evaluation values of the module i and the module j and the transmission cost of the module i to the module jijThe value is obtained.
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