CN113469460B - Smart power grid demand response scheduling method and system based on cooperative operation - Google Patents

Smart power grid demand response scheduling method and system based on cooperative operation Download PDF

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CN113469460B
CN113469460B CN202110831209.2A CN202110831209A CN113469460B CN 113469460 B CN113469460 B CN 113469460B CN 202110831209 A CN202110831209 A CN 202110831209A CN 113469460 B CN113469460 B CN 113469460B
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energy automobile
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storage battery
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CN113469460A (en
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罗鸿轩
肖勇
林伟斌
金鑫
钱斌
潘廷哲
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CSG Electric Power Research Institute
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Abstract

The invention discloses a demand response scheduling method and system of an intelligent power grid based on cooperative operation, which are used for charging an energy automobile according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, which is set by an energy automobile user, with the minimum charging cost of the user as an optimization target, charging the energy automobile in a free time period after receiving a storage battery charging request, and setting the power supply mode of the intelligent home by judging whether the storage battery has an available power supply in the current time period, and according to the magnitude relation between the power supply cost of the storage battery and the power supply cost of the intelligent power grid, and the magnitude relation between the total electric energy which can be supplied by the storage battery and the total demand of the intelligent home in the current time period. The technical problem that under the condition that the electricity cost of power consumers is saved, the power supply load of the smart grid is flexibly adjusted, and the demand response participation degree of the smart home equipment is improved, so that the demand response scheduling strategy of the smart grid is more reasonable is solved.

Description

Smart power grid demand response scheduling method and system based on cooperative operation
Technical Field
The invention relates to the technical field of smart power grids, in particular to a demand response scheduling method and system of a smart power grid based on cooperative operation.
Background
With the reform of the power market and the development of the smart grid technology, the demand response scheduling algorithm plays an increasingly important role in the power distribution network. Demand response is the main way of customer interaction in the development of the power grid and the power market, and is widely applied. From the perspective of utility of the power grid, demand response can improve load distribution by reducing peak load and peak-to-valley difference, thereby reducing the operating cost of the system and reducing the pressure of power grid investment on load increase; for power consumers, demand response reduces the cost of electricity consumption by customers without affecting customer satisfaction.
Compared with the traditional residential load, the intelligent household residential community has larger demand response potential, and the load curve can be more remarkably smoothed due to the load flexibility. Therefore, the research on the power demand response scheduling strategy of the smart home residential community has great significance and necessity. The existing demand response scheduling mode of the smart power grid is mainly planned from the aspect of power consumption cost, when an energy automobile needs to be charged, the electric quantity required by full charge of the energy automobile and the parking time of the energy automobile are detected, the energy automobile is preferentially charged through a charging pile in an idle time period, so that the effect of reducing the power consumption cost is achieved, however, the problem of power supply load of the smart power grid is not fully considered, the demand response participation degree of smart home equipment is not well reflected, and therefore the demand response scheduling strategy of the smart power grid is not high in reasonability. Therefore, how to flexibly adjust the power supply load of the smart grid and improve the demand response participation of the smart home devices under the condition of saving the power consumption cost of the power consumers so as to enable the demand response scheduling strategy of the smart grid to be more reasonable is a technical problem to be urgently solved by technical staff in the field.
Disclosure of Invention
The invention provides a demand response scheduling method and system of a smart power grid based on cooperative operation, which are used for solving the technical problems of flexibly adjusting the power supply load of the smart power grid and improving the demand response participation degree of smart home equipment under the condition of saving the power consumption cost of power consumers so as to rationalize a demand response scheduling strategy of the smart power grid.
In view of the above, a first aspect of the present invention provides a demand response scheduling method for an intelligent power grid based on cooperative operation, which is implemented in a system including an intelligent power supply network, an energy charging pile set, a storage battery set available for home appliances, and an intelligent household electrical equipment set, wherein the intelligent power supply network supplies power to the energy charging pile set, the storage battery set, and the intelligent household electrical equipment set, and includes a request receiving stage, a charging pile optimal response scheduling stage, a storage battery charging optimal response scheduling stage, and an intelligent household electrical equipment optimal response scheduling stage;
the request receiving stage comprises the steps of receiving a request instruction and judging request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
the charging pile optimal response scheduling stage comprises the following steps:
the method comprises the steps of responding to an automobile charging request of an energy automobile user, and obtaining the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum charging cost of a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, wherein the energy automobile is set by an energy automobile user, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
the storage battery charging optimization response scheduling stage comprises the following steps:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is over;
the intelligent household power utilization optimal response scheduling stage comprises the following steps:
responding to an electricity utilization request of the intelligent household equipment, and judging the affiliated time period of the current hour period, wherein the affiliated time period comprises a peak time period, a busy hour time period or an idle time period, and the electricity utilization request of the intelligent household equipment is sent out when each hour period starts or when every preset hour period starts;
whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household equipment in the current hour period is judged according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, the storage battery is preferentially used for supplying power for the intelligent household equipment, and if not, the intelligent power supply network is used for supplying power for the intelligent household equipment.
Optionally, charging the energy vehicle with the optimization goal of minimizing the charging cost of the user according to the time when the energy vehicle sends the vehicle charging request and the time when the energy vehicle leaves, which is set by the energy vehicle user, and stopping charging the energy vehicle when the energy vehicle is fully charged or the energy vehicle leaves, includes:
s101, estimating the time length required by the full charge of the energy automobile;
s102, judging whether the time difference between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, is smaller than the time required by the energy automobile to be fully charged, if so, executing a step S103, otherwise, skipping to a step S105;
s103, judging whether the idle time period length from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, is not less than the time length required by full charging of the energy automobile, if so, executing a step S104, otherwise, skipping to a step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves the set energy automobile by the energy automobile user as the energy automobile charging time period, and skipping to the step S107;
s106, setting the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, and randomly selecting a plurality of time periods from the non-idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile through the charging pile according to the charging time period of the energy automobile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
Alternatively, the calculation formula for estimating the length of time required for the energy vehicle to be fully charged is:
Figure BDA0003175509740000031
wherein the content of the first and second substances,
Figure BDA0003175509740000032
is the energy of the energy automobile when the energy automobile is fully charged,
Figure BDA0003175509740000033
the energy is the energy at the moment when the energy automobile sends an automobile charging request when the energy automobile reaches the ith charging pile,
Figure BDA0003175509740000034
for maximum energy chargeable per hour] + Is rounded up.
Optionally, the charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping the charging of the storage battery at the end of the full-charge or idle time period of the storage battery, includes:
s201, judging whether the current time interval is an idle time interval or not after receiving a storage battery charging request, if so, executing a step 202, and if not, continuously waiting until entering the idle time interval;
s202, judging whether the idle time period length corresponding to the current time period is not less than the time length required by the full charge of the storage battery, if so, executing a step 203, otherwise, jumping to a step S204;
s203, randomly selecting a time from the time period from the idle time period starting time to the time period from the idle time period ending time and the time period required by the full charge of the storage battery, using the time as the time for starting the charging of the storage battery, using the sum of the time for starting the charging of the storage battery and the time period required by the charging of the storage battery as the time for finishing the charging of the storage battery, and jumping to the step S205;
s204, taking the current time as the time when the storage battery starts to be charged, and taking the time when the idle time period ends as the time when the storage battery is charged;
and S205, charging the storage battery according to the time when the storage battery starts to be charged and the time when the storage battery finishes to be charged.
Optionally, estimating the time required for the battery to be fully charged comprises:
and (3) calculating the discharge energy of the storage battery, wherein the calculation formula is as follows:
Figure BDA0003175509740000041
wherein the content of the first and second substances,
Figure BDA0003175509740000042
is the actual discharge energy of the i-th battery within 24 hours before the present moment,
Figure BDA0003175509740000043
alpha is a weight parameter satisfying 0 < alpha < 1 and is the average discharge energy before 24 hours;
calculating the maximum chargeable energy of the storage battery, wherein the calculation formula is as follows:
Figure BDA0003175509740000044
wherein the content of the first and second substances,
Figure BDA0003175509740000045
is the maximum amount of energy that the battery can store,
Figure BDA0003175509740000046
the energy of the storage battery at the current moment t;
the minimum value of the discharge energy and the chargeable maximum energy of the storage battery is used as the charging energy of the storage battery, and the time required by the charging of the storage battery is calculated by the following calculation formula:
Figure BDA0003175509740000047
Figure BDA0003175509740000051
wherein the content of the first and second substances,
Figure BDA0003175509740000052
the energy for charging the storage battery is provided,
Figure BDA0003175509740000053
the maximum electric energy that can be charged per hour, η is the charge conversion efficiency.
Optionally, it is determined whether the cost of power supply using the storage battery is less than the cost of power supply using the intelligent power supply network and whether the total electric energy that can be supplied by the storage battery can satisfy the total demand of power supply for the smart home in the current hour period according to the period to which the storage battery belongs in the current hour period, if the cost of power supply using the storage battery in the period to which the storage battery belongs is less than the cost of power supply using the intelligent power supply network, the storage battery is preferentially used to supply power to the smart home device, otherwise, the intelligent power supply network is used to supply power to the smart home device, including:
s301, judging whether the current hour time interval belongs to a peak time interval, if so, jumping to the step S303, otherwise, executing the step S302;
s302, judging whether the current hour period belongs to a busy hour period, if so, executing a step S303, otherwise, jumping to a step S308;
s303, judging whether the storage battery has an available power supply, if so, executing a step S304, otherwise, skipping to a step S308;
s304, judging whether the cost of using the storage battery for supplying power in the current hour period is less than the cost of using the intelligent power supply network for supplying power, if so, executing a step S305, otherwise, skipping to a step S308;
s305, judging whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the electric demand of the intelligent household equipment in the current hour period, if so, executing a step S306, otherwise, skipping to a step S307;
s306, switching the power utilization of all the intelligent household equipment to the power supply of the storage battery, and skipping to the step S308;
s307, switching part of the intelligent household equipment to be supplied with power by a storage battery, and directly supplying power to the rest intelligent household equipment by using an intelligent power supply network, wherein the sum of the power consumption of the intelligent household equipment supplied with power by the storage battery in the current hour period is not more than the sum of the power consumption of the storage battery;
and S308, switching all the power consumption of the intelligent household equipment into the direct power supply of the intelligent power supply network.
Optionally, the determining whether the battery has an available power supply includes:
calculating the available energy of the storage battery set, wherein the calculation formula is as follows:
Figure BDA0003175509740000054
wherein N is the number of storage batteries, i is the ith storage battery, i is more than or equal to 1 and less than or equal to N, E i The current energy of the ith storage battery is,
Figure BDA0003175509740000055
for the smallest of accumulatorsEnergy;
and judging whether the available energy of the storage battery set is not zero, if so, judging that the storage battery has an available power supply, and if not, judging that the storage battery has no available power supply.
Optionally, the determining whether the cost of supplying power using the storage battery is less than the cost of supplying power using the intelligent power supply network in the current hour period includes:
s11, determining the electricity price unit of the current hour period, wherein if the current time belongs to the peak period, the electricity price unit is the electricity price of the peak period, and otherwise, the electricity price unit is the electricity price of the busy hour period;
s12, calculating the cost saved by the discharge unit electric energy of the storage battery in the current hour period, wherein the calculation formula is as follows:
P s ＝P d ×η d
wherein, P d For the current hourly electricity prices, η d Energy conversion efficiency for discharge;
s13, calculating the cost of the electric energy consumption of the storage battery charging unit, wherein the calculation formula is as follows:
P r ＝P c ×η c
wherein, P c Electricity price in idle time period, η c Energy conversion efficiency for charging;
s14, judging P s ＞P r And if so, the cost of using the storage battery for supplying power in the current hour period is less than the cost of using the intelligent power supply network for supplying power.
The second aspect of the present invention further provides a demand response scheduling system for a smart grid based on collaborative operation, which is implemented in a system including an intelligent power supply network, an energy charging pile set, a storage battery set for household appliances, and an intelligent household electrical equipment set, wherein the intelligent power supply network respectively supplies power to the energy charging pile set, the storage battery set, and the intelligent household electrical equipment set, and further includes: a controller;
the control comprises a request receiving module, a charging pile optimal response scheduling module, a storage battery charging optimal response scheduling module and an intelligent household power utilization optimal response scheduling module;
the receiving request module is used for receiving the request instruction and judging the request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
fill electric pile optimization response scheduling module for:
the method comprises the steps of responding to an automobile charging request of an energy automobile user, and obtaining the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum charging cost of a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, wherein the energy automobile is set by an energy automobile user, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
a battery charging optimization response scheduling module configured to:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is over;
the intelligent household power utilization optimal response scheduling module is used for:
responding to an electricity utilization request of the intelligent household equipment, and judging the affiliated time period of the current hour period, wherein the affiliated time period comprises a peak time period, a busy hour time period or an idle time period, and the electricity utilization request of the intelligent household equipment is sent out when each hour period starts or when every preset hour period starts;
judging whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household in the current hour period according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, preferentially using the storage battery for supplying power for the intelligent household equipment, and otherwise, using the intelligent power supply network for supplying power for the intelligent household equipment.
Optionally, charging the energy vehicle with the optimization goal of minimizing the charging cost of the user according to the time when the energy vehicle sends the vehicle charging request and the time when the energy vehicle leaves, which is set by the energy vehicle user, and stopping charging the energy vehicle when the energy vehicle is fully charged or the energy vehicle leaves, includes:
s101, estimating the time length required by the full charge of the energy automobile;
s102, judging whether the time difference between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, is less than the time required by the energy automobile to be fully charged, if so, executing a step S103, otherwise, skipping to a step S105;
s103, judging whether the idle time period length from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, is not less than the time length required by full charging of the energy automobile, if so, executing a step S104, otherwise, skipping to a step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, as the energy automobile charging time period, and skipping to the step S107;
s106, setting the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, and randomly selecting a plurality of time periods from the non-idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile according to the charging time period of the energy automobile through the charging pile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
According to the technical scheme, the embodiment of the invention has the following advantages:
the invention provides a demand response scheduling method of an intelligent power grid based on cooperative operation, which charges the energy automobile by using a charging pile according to the moment when the energy automobile sends an automobile charging request and the energy automobile leaving moment set by an energy automobile user, and takes the minimum charging cost of the user as an optimization target.
Drawings
In order to clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other relevant drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system framework diagram of a system in which an intelligent power supply network, an energy charging pile set, a storage battery set available for home appliances, and an intelligent household electrical equipment set are provided in an embodiment of the present invention;
fig. 2 is a schematic flowchart of a demand response scheduling method for a smart grid based on cooperative operation according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a charging pile optimal response scheduling phase provided in the embodiment of the present invention;
fig. 4 is a schematic flow chart of a battery charging optimization response scheduling stage provided in the embodiment of the present invention;
fig. 5 is a schematic flow chart of an intelligent household power utilization optimization response scheduling stage provided in the embodiment of the present invention;
FIG. 6 is a schematic flow chart illustrating the process of determining whether the cost of using the storage battery to supply power is less than the cost of using the intelligent power supply network to supply power during the current hour period according to an embodiment of the present invention;
fig. 7 is a schematic diagram of an internal structure of the controller provided in the embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
For convenience of understanding, please refer to fig. 1 and 2, the present invention provides an embodiment of a demand response scheduling method for a smart grid based on cooperative operation, which is implemented in a system including an intelligent power supply network, an energy charging pile set, a storage battery set available for household appliances, and an intelligent household electrical equipment set, wherein the intelligent power supply network respectively supplies power to the energy charging pile set, the storage battery set, and the intelligent household electrical equipment set, and includes a request receiving phase, a charging pile optimal response scheduling phase, a storage battery charging optimal response scheduling phase, and an intelligent household electrical equipment optimal response scheduling phase;
the request receiving stage comprises the steps of receiving a request instruction and judging request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
the charging pile optimal response scheduling stage comprises the following steps:
responding to an automobile charging request of an energy automobile user, and acquiring the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent out when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum charging cost of a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, wherein the energy automobile is set by an energy automobile user, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
the storage battery charging optimization response scheduling stage comprises the following steps:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is finished;
the intelligent household power utilization optimal response scheduling stage comprises the following steps:
responding to an electricity utilization request of the intelligent household equipment, and judging the affiliated time period of the current hour period, wherein the affiliated time period comprises a peak time period, a busy hour time period or an idle time period, and the electricity utilization request of the intelligent household equipment is sent out when each hour period starts or when every preset hour period starts;
judging whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household in the current hour period according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, preferentially using the storage battery for supplying power for the intelligent household equipment, and otherwise, using the intelligent power supply network for supplying power for the intelligent household equipment.
In the embodiment of the invention, after the energy automobile arrives at the charging pile, when a user of the energy automobile accesses the charging head of the energy automobile into the charging pile, the energy automobile or the charging pile automatically sends a storage battery charging request to the master control end of the intelligent power supply network. And when the capacity of the storage battery in the storage battery set reaches a minimum threshold value, the monitoring device of the storage battery set automatically sends a storage battery charging request to the master control end of the intelligent power supply network. And when each hour period starts or every preset hour period starts, the intelligent power supply network automatically generates an electricity utilization request of the intelligent household equipment. The power consumption of the intelligent power supply network is divided into a peak time interval, a busy hour time interval and an idle time interval every day, and the electricity price pricing of the corresponding time interval is as follows: peak period electricity price > busy hour period electricity price > idle hour period electricity price.
According to the intelligent power grid demand response scheduling method based on cooperative operation, in the aspect of charging an energy automobile by using a charging pile, the energy automobile is charged according to the moment when the energy automobile sends an automobile charging request and the energy automobile leaving moment set by an energy automobile user, the energy automobile is charged by taking the minimum charging cost of the user as an optimization target, in the aspect of charging a storage battery, the storage battery is charged in an idle time period after the storage battery charging request is received, in the aspect of power utilization of intelligent household equipment, whether the storage battery has an available power supply or not is judged by judging whether the current hour period belongs to a peak value of electricity price, busy hour or idle time period, the size relation between the power supply cost of the storage battery and the power supply cost of using an intelligent power grid is used, the size relation between the sum of the electric energy which can be supplied by the storage battery and the intelligent household power demand sum in the hour period is set in intelligent household power supply modes, the three power supply modes are respectively the power supply of the storage battery, the direct power supply of the intelligent power grid and the intelligent power supply grid, the two power supply modes are combined power supply, the demand scheduling and the intelligent power supply network is realized, the demand of the intelligent power supply network is adjusted flexibly, and the intelligent power supply network is used, so that the user-friendly and the intelligent power supply strategy is more reasonably responded.
As shown in fig. 3, in an embodiment, charging the energy vehicle with the optimization goal of minimizing the charging cost of the user according to the time when the energy vehicle makes the vehicle charging request and the time when the energy vehicle leaves, which is set by the energy vehicle user, and stopping charging the energy vehicle when the energy vehicle is fully charged or the energy vehicle leaves is reached, includes:
s101, estimating the time length T required by the full charge of the energy automobile 11 . The calculation formula for estimating the time length required by the energy automobile to be fully charged is as follows:
Figure BDA0003175509740000111
wherein the content of the first and second substances,
Figure BDA0003175509740000112
is the energy of the energy automobile when the energy automobile is fully charged,
Figure BDA0003175509740000113
the energy is the energy at the moment when the energy automobile sends the automobile charging request when the energy automobile reaches the ith charging pile,
Figure BDA0003175509740000114
for maximum energy chargeable per hour] + Is rounded up.
S102, judging a time difference T between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves set by an energy automobile user 12 Judging whether the time is less than the time required by the full charge of the energy automobile, namely, judging T 12 ≥T 11 If yes, executing step S103, otherwise, jumping to step S105;
s103, judging the idle time period length T between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves set by the energy automobile user 13 Whether the time length is not less than the time length required by the full charge of the energy automobile or not is judged, namely T 13 ≥T 11 If yes, executing step S104, otherwise, jumping to step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves the set energy automobile by the energy automobile user as the energy automobile charging time period, and skipping to the step S107;
s106, setting the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, and randomly selecting a plurality of time periods from the non-idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the idle time period length between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile according to the charging time period of the energy automobile through the charging pile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
In the embodiment of the invention, a charging pile optimization response scheduling process starts from any energy automobile in an energy charging pile set to arrive at a charging pile, a charging head of the energy automobile is connected into the charging pile, a leaving time is set, and the energy automobile charging time period is set by comparing the relationship among the time required by the energy automobile to be fully charged, the time period length from the energy automobile arriving at the charging pile to leaving the charging pile and the idle time period length from the energy automobile charging head connected into the charging pile to leaving the charging pile, so that the charging cost of a user is minimum as an optimization target, the energy automobile is preferably charged by utilizing the idle time period, the energy automobile charging time period is set, and the maximization of the charging energy of the energy automobile is realized on the basis of saving the electricity cost of the user.
In one embodiment, the method of estimating the time required for a battery to become fully charged is:
and (3) calculating the discharge energy of the storage battery, wherein the calculation formula is as follows:
Figure BDA0003175509740000121
wherein the content of the first and second substances,
Figure BDA0003175509740000122
is the actual discharge energy of the i-th battery within 24 hours before the present moment,
Figure BDA0003175509740000123
alpha is a weight parameter satisfying 0 < alpha < 1, which is an average discharge energy before 24 hours.
And calculating the maximum chargeable energy of the storage battery, wherein the calculation formula is as follows:
Figure BDA0003175509740000131
wherein the content of the first and second substances,
Figure BDA0003175509740000132
is the maximum amount of energy that can be stored by the battery,
Figure BDA0003175509740000133
the energy of the storage battery at the current moment t;
the minimum value of the discharge energy of the storage battery and the maximum chargeable energy of the storage battery is taken as the energy for charging the storage battery, and the time required by charging the storage battery is calculated by the following calculation formula:
Figure BDA0003175509740000134
Figure BDA0003175509740000135
wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003175509740000136
the energy for charging the storage battery is provided,
Figure BDA0003175509740000137
η is the charging conversion efficiency, which is the maximum power that can be charged per hour.
As shown in fig. 4, the charging of the storage battery in the idle period after receiving the storage battery charging request and the stopping of the charging of the storage battery at the end of the full charge or idle period include:
s201, judging whether the current time interval is an idle time interval or not after receiving the storage battery charging request, if so, executing the step 202, and if not, continuously waiting until entering the idle time interval. The lowest threshold corresponding to the automatic charging request when the capacity of the storage battery reaches the lowest threshold may be set to be higher than 10% of the unavailable condition (i.e., the lowest energy) of the storage battery set, so as to avoid inconvenience caused by the unavailable condition of the storage battery set due to the incapability of immediately charging the storage battery.
S202, judging whether the idle time period length corresponding to the current time period is not less than the time length required by full charge of the storage battery, if so, executing a step 203, otherwise, jumping to a step S204;
s203, randomly selecting a time from the time period from the idle time period starting time to the time period from the idle time period ending time and the time period required by the full charge of the storage battery, using the time as the time for starting the charging of the storage battery, using the sum of the time for starting the charging of the storage battery and the time period required by the charging of the storage battery as the time for finishing the charging of the storage battery, and jumping to the step S205;
s204, taking the current time as the time when the storage battery starts to be charged, and taking the time when the idle time period ends as the time when the storage battery is charged;
and S205, charging the storage battery according to the time when the storage battery starts to be charged and the time when the storage battery finishes to be charged.
In the embodiment of the invention, the time required by the storage battery charging is estimated, whether the current time interval is the idle time interval or not is judged, if the current time interval is the idle time interval, the storage battery is directly charged, the charging ending time of the storage battery is set, if the current time interval is not the idle time interval, the storage battery is not charged, the storage battery is continuously in a waiting state, the storage battery is charged until the idle time interval is reached, and the charging ending time is set. The charging time of the storage battery charging set is controlled to be carried out in an idle time period, and the electricity utilization cost is saved to the maximum extent.
As shown in fig. 5, in an embodiment, whether the cost of supplying power by using the storage battery is less than the cost of supplying power by using the intelligent power supply network and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the electric demand of the smart home in the current hour period is determined according to the affiliated period of the current hour period, if the cost of supplying power by using the storage battery in the affiliated period of the current hour period is less than the cost of supplying power by using the intelligent power supply network, the storage battery is preferentially used to supply power to the smart home device, otherwise, the intelligent power supply network is used to supply power to the smart home device, which includes:
s301, judging whether the current hour period belongs to a peak period, if so, jumping to the step S303, otherwise, executing the step S302;
s302, judging whether the current hour period belongs to a busy hour period, if so, executing a step S303, otherwise, jumping to a step S308;
and S303, judging whether the storage battery has an available power supply, if so, executing a step S304, otherwise, jumping to a step S308. Wherein, judge whether the battery has available power, include:
and calculating the available energy of the storage battery set, wherein the calculation formula is as follows:
Figure BDA0003175509740000141
wherein N is the number of storage batteries, i is the ith storage battery, i is more than or equal to 1 and less than or equal to N, E i The current energy of the ith storage battery is,
Figure BDA0003175509740000142
the energy is the minimum energy of the storage battery, namely the energy which can not be converted;
and judging whether the available energy of the storage battery set is not zero, if so, judging that the storage battery has an available power supply, and if not, judging that the storage battery has no available power supply.
S304, judging whether the cost of power supply by using the storage battery in the current hour period is less than the cost of power supply by using the intelligent power supply network, if so, executing the step S305, otherwise, skipping to the step S308.
As shown in fig. 6, the determining whether the cost of using the storage battery to supply power is less than the cost of using the intelligent power supply network to supply power in the current hour period includes:
s11, determining the electricity price unit of the current hour period, wherein if the current time belongs to the peak period, the electricity price unit is the electricity price of the peak period, and otherwise, the electricity price unit is the electricity price of the busy hour period;
s12, calculating the cost saved by the discharge unit electric energy of the storage battery in the current hour period, wherein the calculation formula is as follows:
P s ＝P d ×η d
wherein, P d For the current hour period of electricity prices, eta d Energy conversion efficiency for discharge;
s13, calculating the cost of the electric energy consumption of the storage battery charging unit, wherein the calculation formula is as follows:
P r ＝P c ×η c
wherein, P c Electricity price in idle time period, η c Energy conversion efficiency for charging;
s14, judging P s ＞P r And if so, the cost of using the storage battery for supplying power in the current hour period is less than the cost of using the intelligent power supply network for supplying power.
S305, judging whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the electric demand of the intelligent household equipment in the current hour period, if so, executing a step S306, otherwise, skipping to a step S307;
s306, switching the power utilization of all the intelligent household equipment to the power supply of the storage battery, and skipping to the step S308;
s307, switching part of the intelligent household equipment to be supplied with power by a storage battery, and directly supplying power to the rest intelligent household equipment by using an intelligent power supply network, wherein the sum of the power consumption of the intelligent household equipment supplied with power by the storage battery in the current hour period is not more than the sum of the electric energy which can be supplied by the storage battery;
and S308, switching the power utilization of all the intelligent household equipment into the direct power supply of the intelligent power supply network.
In the embodiment of the invention, the time-sharing scheduling and the demand-based scheduling of the power supply of the intelligent household electric equipment by the storage battery set and the intelligent power supply network are realized, so that the power consumption cost is saved, the load of the intelligent power supply network for power supply in peak time periods and busy time periods is reduced, the intelligent household electric equipment well participates in the demand response of the intelligent power supply network, the multi-party cooperative optimization is realized, and the compatibility is realized.
For convenience of understanding, please refer to fig. 1 and 7, in the present invention, an embodiment of a demand response scheduling system for a smart grid based on cooperative operation is provided, which is implemented in a system including a smart grid, an energy charging pile set, a storage battery set available for home appliances, and a smart home electrical device set, where the smart grid respectively supplies power to the energy charging pile set, the storage battery set, and the smart home electrical device set, and further includes: a controller;
the control comprises a request receiving module, a charging pile optimal response scheduling module, a storage battery charging optimal response scheduling module and an intelligent household power utilization optimal response scheduling module;
the receiving request module is used for receiving the request instruction and judging the request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
fill electric pile optimization response scheduling module for:
responding to an automobile charging request of an energy automobile user, and acquiring the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent out when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum charging cost of a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, wherein the energy automobile is set by an energy automobile user, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
a battery charge optimization response scheduling module to:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is over;
the intelligent household power utilization optimal response scheduling module is used for:
responding to an electricity utilization request of the intelligent household equipment, and judging the affiliated time period of the current hour period, wherein the affiliated time period comprises a peak time period, a busy hour time period or an idle time period, and the electricity utilization request of the intelligent household equipment is sent out when each hour period starts or when every preset hour period starts;
whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household equipment in the current hour period is judged according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, the storage battery is preferentially used for supplying power for the intelligent household equipment, and if not, the intelligent power supply network is used for supplying power for the intelligent household equipment.
The intelligent power grid demand response scheduling system based on cooperative operation provided by the invention charges the energy automobile by using the charging pile according to the moment when the energy automobile sends an automobile charging request and the energy automobile leaving moment set by an energy automobile user, takes the minimum charging cost of the user as an optimization target, sets the storage battery to be charged in the idle time period after receiving the storage battery charging request in the aspect of storage battery charging, sets the size relation between the cost for supplying power by using the storage battery and the cost for supplying power by using the intelligent power grid by judging whether the current hour period belongs to the peak value of electricity price, the busy hour or the idle time period in the aspect of intelligent household equipment power utilization, sets the intelligent household power supply modes which are three types, namely storage battery power supply, intelligent power grid direct power supply and intelligent power grid combined power supply, realizes demand scheduling and time-sharing scheduling of the power supply of the intelligent power supply network, saves the user power consumption cost when reducing the loads of the peak value period and the busy time period power supply, and uses the intelligent power grid power supply network to directly supply and realizes more reasonable power supply policy and response of the intelligent household equipment.
According to the time when the energy automobile sends the automobile charging request and the time when the energy automobile leaves set by the energy automobile user, the energy automobile is charged by taking the minimum charging cost of the user as an optimization target, and the energy automobile is stopped to be charged when the energy automobile is fully charged or the time when the energy automobile leaves is reached, the method comprises the following steps:
s101, estimating the time length required by the full charge of the energy automobile;
s102, judging whether the time difference between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, is less than the time required by the energy automobile to be fully charged, if so, executing a step S103, otherwise, skipping to a step S105;
s103, judging whether the idle time period length from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, is not less than the time length required by full charging of the energy automobile, if so, executing a step S104, otherwise, skipping to a step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, as the energy automobile charging time period, and skipping to the step S107;
s106, setting the length of an idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as an energy automobile charging time period, and randomly selecting a plurality of time periods from the moment when the energy automobile sends the automobile charging request to the non-idle time period between the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the length of the idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile through the charging pile according to the charging time period of the energy automobile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
The cooperative operation-based demand response scheduling system of the smart grid is used for executing the cooperative operation-based demand response scheduling method of the smart grid in the foregoing embodiment, and both the working principle and the achieved technical effect are consistent with the cooperative operation-based demand response scheduling method of the smart grid, and are not described herein again.
The above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A demand response scheduling method of an intelligent power grid based on cooperative operation is characterized by being executed in a system comprising an intelligent power supply network, an energy charging pile set, a storage battery set available for household appliances and an intelligent household electric equipment set, wherein the intelligent power supply network respectively supplies power for the energy charging pile set, the storage battery set and the intelligent household electric equipment set and comprises a request receiving stage, a charging pile optimal response scheduling stage, a storage battery charging optimal response scheduling stage and an intelligent household electric equipment optimal response scheduling stage;
the request receiving stage comprises the steps of receiving a request instruction and judging request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
the charging pile optimal response dispatching stage comprises the following steps:
the method comprises the steps of responding to an automobile charging request of an energy automobile user, and obtaining the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum cost of charging a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
the storage battery charging optimization response scheduling stage comprises the following steps:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is over;
the intelligent household power utilization optimal response scheduling stage comprises the following steps:
responding to the power utilization request of the intelligent household equipment, and judging the belonged time period of the current hour time period, wherein the belonged time period comprises a peak value time period, a busy hour time period or an idle time period, and the power utilization request of the intelligent household equipment is sent out when each hour time period starts or every preset hour time period starts;
judging whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household in the current hour period according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, preferentially using the storage battery for supplying power for the intelligent household equipment, and otherwise, using the intelligent power supply network for supplying power for the intelligent household equipment.
2. The demand response scheduling method for the smart grid based on cooperative operation according to claim 1, wherein the energy vehicle is charged with the objective of minimizing the charging cost of the energy vehicle according to the time when the energy vehicle makes the vehicle charging request and the time when the energy vehicle leaves, and the charging of the energy vehicle is stopped when the energy vehicle is fully charged or the time when the energy vehicle leaves is reached, the method comprising:
s101, estimating the time length required by the full charge of the energy automobile;
s102, judging whether the time difference between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, is less than the time required by the energy automobile to be fully charged, if so, executing a step S103, otherwise, skipping to a step S105;
s103, judging whether the idle time period length from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, is not less than the time length required by full charging of the energy automobile, if so, executing a step S104, otherwise, skipping to a step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, as the energy automobile charging time period, and skipping to the step S107;
s106, setting the length of an idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as an energy automobile charging time period, and randomly selecting a plurality of time periods from the moment when the energy automobile sends the automobile charging request to the non-idle time period between the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the length of the idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile according to the charging time period of the energy automobile through the charging pile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
3. The smart grid demand response scheduling method based on cooperative operation according to claim 2, wherein the calculation formula for estimating the length of time required for the energy vehicle to be fully charged is:
Figure FDA0003175509730000021
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003175509730000031
is the energy of the energy automobile when the energy automobile is fully charged,
Figure FDA0003175509730000032
the energy is the energy at the moment when the energy automobile sends the automobile charging request when the energy automobile reaches the ith charging pile,
Figure FDA0003175509730000033
is the maximum energy which can be charged per hour] + Is rounded up.
4. The demand response scheduling method for the smart power grid based on the cooperative operation of claim 1, wherein the charging of the storage battery is performed in an idle time period after the storage battery charging request is received, and the charging of the storage battery is stopped at the end of the full charge or idle time period of the storage battery, comprising:
s201, judging whether the current time interval is an idle time interval or not after receiving a storage battery charging request, if so, executing a step 202, and if not, continuously waiting until entering the idle time interval;
s202, judging whether the idle time period length corresponding to the current time period is not less than the time length required by the full charge of the storage battery, if so, executing a step 203, otherwise, jumping to a step S204;
s203, randomly selecting a time from the time period from the idle time period starting time to the time period from the idle time period ending time and the time period required by the full charge of the storage battery, using the time as the time for starting the charging of the storage battery, using the sum of the time for starting the charging of the storage battery and the time period required by the charging of the storage battery as the time for finishing the charging of the storage battery, and jumping to the step S205;
s204, taking the current time as the time when the storage battery starts to be charged, and taking the time when the idle time period ends as the time when the storage battery is charged;
and S205, charging the storage battery according to the time when the storage battery starts to be charged and the time when the storage battery finishes to be charged.
5. The cooperative operation based demand response scheduling method for the smart grid according to claim 4, wherein estimating the time required for the storage battery to be fully charged comprises:
and calculating the discharge energy of the storage battery, wherein the calculation formula is as follows:
Figure FDA0003175509730000034
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003175509730000035
is the actual discharge energy of the i-th battery within 24 hours before the present moment,
Figure FDA0003175509730000036
alpha is a weight parameter satisfying 0 < alpha < 1 and is the average discharge energy before 24 hours;
calculating the maximum chargeable energy of the storage battery, wherein the calculation formula is as follows:
Figure FDA0003175509730000037
wherein the content of the first and second substances,
Figure FDA0003175509730000038
is the maximum amount of energy that the battery can store,
Figure FDA0003175509730000039
the energy of the storage battery at the current moment t;
the minimum value of the discharge energy of the storage battery and the maximum chargeable energy of the storage battery is taken as the energy for charging the storage battery, and the time required by charging the storage battery is calculated by the following calculation formula:
Figure FDA0003175509730000041
Figure FDA0003175509730000042
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003175509730000043
the energy for charging the storage battery is provided,
Figure FDA0003175509730000044
η is the charging conversion efficiency, which is the maximum power that can be charged per hour.
6. The demand response scheduling method for the smart grid based on cooperative operation according to claim 1, wherein whether the cost of using the storage battery for supplying power is less than the cost of using the smart grid for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the demand of using the smart home appliances in the current hour period is judged according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the smart grid for supplying power, the storage battery is preferentially used for supplying power to the smart home appliances, and if not, the smart home appliances are supplied with power by using the smart grid, the method comprises the following steps:
s301, judging whether the current hour time interval belongs to a peak time interval, if so, jumping to the step S303, otherwise, executing the step S302;
s302, judging whether the current hour period belongs to a busy hour period, if so, executing a step S303, otherwise, jumping to a step S308;
s303, judging whether the storage battery has an available power supply, if so, executing a step S304, otherwise, skipping to a step S308;
s304, judging whether the cost of power supply by using a storage battery in the current hour period is less than the cost of power supply by using an intelligent power supply network, if so, executing a step S305, otherwise, jumping to a step S308;
s305, judging whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the electric demand of the intelligent household equipment in the current hour period, if so, executing a step S306, otherwise, skipping to a step S307;
s306, switching the power utilization of all the intelligent household equipment to the power supply of the storage battery, and skipping to the step S308;
s307, switching part of the intelligent household equipment to be supplied with power by a storage battery, and directly supplying power to the rest intelligent household equipment by using an intelligent power supply network, wherein the sum of the power consumption of the intelligent household equipment supplied with power by the storage battery in the current hour period is not more than the sum of the power consumption of the storage battery;
and S308, switching all the power consumption of the intelligent household equipment into the direct power supply of the intelligent power supply network.
7. The smart grid demand response scheduling method based on cooperative operation of claim 6, wherein the determining whether the storage battery has an available power supply comprises:
and calculating the available energy of the storage battery set, wherein the calculation formula is as follows:
Figure FDA0003175509730000051
wherein N is the number of storage batteries, i is the ith storage battery, i is more than or equal to 1 and less than or equal to N, E i The current energy of the ith storage battery is,
Figure FDA0003175509730000052
minimum energy for the battery;
and judging whether the available energy of the storage battery set is not zero, if so, judging that the storage battery has an available power supply, and if not, judging that the storage battery has no available power supply.
8. The demand response scheduling method for the smart power grid based on cooperative operation of claim 7, wherein the step of judging whether the cost of supplying power by using the storage battery in the current hour period is less than the cost of supplying power by using the smart power grid comprises the following steps:
s11, determining the electricity price unit of the current hour period, wherein if the current time belongs to the peak period, the electricity price unit is the electricity price of the peak period, and otherwise, the electricity price unit is the electricity price of the busy hour period;
s12, calculating the cost saved by the discharge unit electric energy of the storage battery in the current hour period, wherein the calculation formula is as follows:
P s ＝P d ×η d
wherein, P d For the current hourly electricity prices, η d Energy conversion for dischargeEfficiency;
s13, calculating the cost of the electric energy consumption of the storage battery charging unit, wherein the calculation formula is as follows:
P r ＝P c ×η c
wherein, P c Electricity price in idle time period, η c Energy conversion efficiency for charging;
s14, judging P s ＞P r And if so, the cost of using the storage battery to supply power in the current hour period is less than the cost of using the intelligent power supply network to supply power.
9. The utility model provides a smart power grids demand response dispatch system based on collaborative operation which characterized in that carries out in the system of including intelligent power supply net, energy charging pile set, the battery set that can supply household electrical appliances to use and intelligent house consumer set, and intelligent power supply net is respectively for the energy charging pile set, battery set and intelligent house consumer set supplies power, still includes: a controller;
the control comprises a request receiving module, a charging pile optimal response scheduling module, a storage battery charging optimal response scheduling module and an intelligent household power utilization optimal response scheduling module;
the receiving request module is used for receiving the request instruction and judging the request types, wherein the request types comprise an automobile charging request, a storage battery charging request and an intelligent household equipment power utilization request;
fill electric pile optimization response scheduling module for:
the method comprises the steps of responding to an automobile charging request of an energy automobile user, and obtaining the time when the energy automobile sends the automobile charging request and the energy automobile leaving time set by the energy automobile user, wherein the charging request is automatically sent when a charging head of the energy automobile is connected into a charging pile;
charging the energy automobile by taking the minimum cost of charging a user as an optimization target according to the time when the energy automobile sends an automobile charging request and the time when the energy automobile leaves, and stopping charging the energy automobile when the energy automobile is fully charged or the time when the energy automobile leaves is reached;
a battery charge optimization response scheduling module to:
estimating a time required for a battery to become fully charged in response to a battery charge request, wherein the battery charge request is issued automatically when a battery capacity in a set of batteries reaches a minimum threshold;
charging the storage battery in an idle time period after receiving the storage battery charging request, and stopping charging the storage battery when the storage battery is fully charged or the idle time period is over;
the intelligent household power utilization optimal response scheduling module is used for:
responding to an electricity utilization request of the intelligent household equipment, and judging the affiliated time period of the current hour period, wherein the affiliated time period comprises a peak time period, a busy hour time period or an idle time period, and the electricity utilization request of the intelligent household equipment is sent out when each hour period starts or when every preset hour period starts;
judging whether the cost of using the storage battery for supplying power is less than the cost of using the intelligent power supply network for supplying power and whether the sum of the electric energy which can be supplied by the storage battery can meet the sum of the power demand of the intelligent household in the current hour period according to the affiliated period of the current hour period, if the cost of using the storage battery for supplying power in the affiliated period of the current hour period is less than the cost of using the intelligent power supply network for supplying power, preferentially using the storage battery for supplying power for the intelligent household equipment, and otherwise, using the intelligent power supply network for supplying power for the intelligent household equipment.
10. The demand response scheduling system of smart grid based on cooperative operation according to claim 9, wherein the energy vehicle is charged with the objective of minimizing the charging cost of the energy vehicle according to the time when the energy vehicle makes the vehicle charging request and the time when the energy vehicle leaves, and the charging of the energy vehicle is stopped when the energy vehicle is fully charged or the time when the energy vehicle leaves is reached, the system comprises:
s101, estimating the time length required by the full charge of the energy automobile;
s102, judging whether the time difference between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, is smaller than the time required by the energy automobile to be fully charged, if so, executing a step S103, otherwise, skipping to a step S105;
s103, judging whether the idle time period length from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, is not less than the time length required by full charging of the energy automobile, if so, executing a step S104, otherwise, skipping to a step S106;
s104, randomly selecting an adjacent time length equal to the time length required by the energy automobile to be fully charged from an idle time period between the moment when the energy automobile sends the automobile charging request and the moment when the energy automobile leaves, which is set by an energy automobile user, as the time period for charging the energy automobile, and skipping to the step S107;
s105, setting a time period from the moment when the energy automobile sends the automobile charging request to the moment when the energy automobile leaves, which is set by an energy automobile user, as the energy automobile charging time period, and skipping to the step S107;
s106, setting the length of an idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user as an energy automobile charging time period, and randomly selecting a plurality of time periods from the moment when the energy automobile sends the automobile charging request to the non-idle time period between the energy automobile leaving moment set by the energy automobile user as the energy automobile charging time period, wherein the time lengths of the plurality of time periods are equal to the time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user minus the length of the idle time period between the moment when the energy automobile sends the automobile charging request and the energy automobile leaving moment set by the energy automobile user;
s107, charging the energy automobile through the charging pile according to the charging time period of the energy automobile;
and S108, judging whether the energy automobile is fully charged or the time when the energy automobile leaves is reached, and if so, stopping charging the energy automobile.
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