CN111490556A - Control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating - Google Patents
Control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q50/06—Electricity, gas or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/24—Arrangements for preventing or reducing oscillations of power in networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/46—Controlling of the sharing of output between the generators, converters, or transformers
- H02J3/466—Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/10—Flexible AC transmission systems [FACTS]
Abstract
A control method for optimizing thermal power peak regulation of battery energy storage coordinated electric heating is disclosed. In an embodiment of the present application, the control method includes: judging whether the SOC of the battery energy storage system is larger than a preset SOC minimum value or not at a peak time period; if the SOC of the battery energy storage system is larger than the preset SOC minimum value, controlling the heat storage device to perform heat release action to meet the heat load requirement, and simultaneously controlling the battery energy storage system to discharge to increase the peak-to-valley price difference gain; and if the SOC of the battery energy storage system is smaller than or equal to the SOC minimum value, controlling the heat storage device to perform a heat release action to meet the heat load requirement, and simultaneously controlling the battery energy storage system not to act. The embodiment of the application can not only consume the electric quantity but also supply heat in the heating period by configuring the heat storage type electric boiler.
Description
Technical Field
The invention relates to the technical field of energy management, in particular to a control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating.
Background
The energy distribution and the power load of China are in reverse distribution, and the grid structure and the power supply proportion of different areas are different. The three north regions in China have abundant wind energy and are suitable for large-scale development of wind power generation, but the wind power acceptance problem is increasingly prominent while the wind power is rapidly developed. In the 'three north' area of China, the heat load is high, the electric load is low, in the heating period in winter, the heat supply and peak regulation contradiction is caused by the operation mode of the cogeneration heat supply unit, and the flexibility of the system is reduced, so that the problem of wind abandonment is further aggravated. In the heat supply period, the thermoelectric generating set works in a mode of 'fixing power by heat', the peak regulation of a power grid is contradictory to the heat supply, and on the premise of meeting the heat supply, when the peak regulation capacity of the system cannot meet the requirement, the power balance and the safety and the stability of the system can be ensured only by abandoning wind and limiting power for a wind power plant.
Disclosure of Invention
In order to solve the technical problem, it is desirable to provide a control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating.
According to one aspect of the application, a control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating is provided, and comprises the following steps:
judging whether the SOC of the battery energy storage system is larger than a preset SOC minimum value or not at a peak time period;
if the SOC of the battery energy storage system is larger than the preset SOC minimum value, controlling the heat storage device to execute heat release action according to a preset objective function and a preset heat storage constraint condition to meet the heat load requirement, and simultaneously controlling the battery energy storage system to discharge according to the objective function and the preset energy storage operation constraint condition to increase the peak-valley price difference gain;
and if the SOC of the battery energy storage system is smaller than or equal to the SOC minimum value, controlling the heat storage device to execute heat release action according to the objective function and the heat storage constraint condition to meet the heat load requirement, and controlling the battery energy storage system not to act according to the objective function and the energy storage operation constraint condition.
The embodiment of the application utilizes the electric boiler to satisfy the heat storage when the peak regulation period, and the non-peak regulation period drives the electric heating device to release heat through the battery energy storage system, thereby realizing the heat supply in the heating period. Therefore, the heat storage type electric boiler can not only consume electric quantity, but also supply heat in the heating period, thereby being beneficial to reducing environmental pollution; and through the coordination of the battery energy storage system, more electric quantity can be consumed, and the system operation safety and stability are facilitated. And the battery energy storage system coordinates the heat storage type electric boiler, so that the peak shaving margin of the power grid can be enlarged, the power grid can be facilitated to accept the new energy (wind power and photoelectricity) to enter the power grid on a large scale, the peak shaving pressure of the power grid can be effectively reduced, the heat supply load can be flattened, the fuel can be saved, the operation efficiency of a unit can be improved, the operation condition of the unit can be improved, and in addition, the atmospheric pollution can be reduced to play a role in protecting the environment.
Drawings
Fig. 1 is a schematic diagram of an exemplary network architecture of an application environment according to an embodiment of the present application.
FIG. 2 is a schematic flow chart of a control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating according to an embodiment of the present application;
fig. 3 is a schematic flow chart of a specific implementation of the control method for optimizing thermal power peak regulation for battery energy storage coordinated electric heating according to the embodiment of the present application.
Detailed Description
Hereinafter, embodiments of the present application will be described in detail with reference to the accompanying drawings. It should be noted that, in the present application, the embodiments and the features thereof may be arbitrarily combined with each other without conflict.
In the related technology, the thermoelectric generating set works in a mode of 'fixing power by heat', the peak regulation of a power grid is contradictory to the heat supply, and on the premise of meeting the heat supply, when the peak regulation capacity of a system cannot meet the requirement, the power balance and the safety and stability of the system can be ensured only by abandoning wind and limiting power of a wind power plant, so that the limitation is brought. The present invention is proposed to solve the technical problem.
The following provides a detailed description of specific technical details of the present application.
Fig. 1 shows an exemplary network structure of an application environment of an embodiment of the present application. The power grid architecture shown in fig. 1 mainly includes a combined system and a heat grid (including a "thermal power plant" and the like), the combined system may include an energy storage system (hereinafter referred to as a "battery energy storage system") and an electric heating device for supplying heat, the electric heating device may include a thermal storage type electric boiler (also referred to as an "electric boiler") and a thermal storage device, and it can be seen that, in the power grid architecture shown in fig. 1, the thermal storage type electric boiler is configured to consume electric energy and also supply heat during a heating period, which is of great practical significance for reducing environmental pollution; and more electric quantity can be absorbed through the coordination of the battery energy storage system, and the battery energy storage system has the effect of 'peak clipping and valley filling' and has an important effect on the safety and stability of the system operation. And the battery energy storage system coordinates the heat storage type electric boiler, so that the peak shaving margin of the power grid can be enlarged, the power grid can be facilitated to accept the new energy (wind power and photoelectricity) to enter the power grid on a large scale, the peak shaving pressure of the power grid can be effectively reduced, the heat supply load can be flattened, the fuel can be saved, the operation efficiency of a unit can be improved, the operation condition of the unit can be improved, and in addition, the atmospheric pollution can be reduced to play a role in protecting the environment.
In the example of fig. 1, the electric heating system of the heat storage type electric boiler is realized by disposing a heat storage device. The heat storage type electric boiler mainly uses electricity in the valley period of the power grid, the power grid provides corresponding peak regulation compensation according to the valley contract electricity quantity, and bilateral transaction can be carried out by negotiation with wind power enterprises. The battery energy storage peak shaving mainly absorbs electric power in a valley or wind abandoning and kernel abandoning period, releases electric power in other periods, and cannot be charged in a peak load period or discharged in a valley load period in the operation process, otherwise, the compensation is not carried out.
Fig. 2 shows an exemplary implementation flow of the control method for optimizing thermal peak regulation for battery energy storage coordinated electric heating in the embodiment of the present application. As shown in fig. 2, the method may include the steps of:
step S201, judging whether the SOC of the battery energy storage system is larger than a preset SOC minimum value or not in a peak time period;
step S202, if the SOC of the battery energy storage system is larger than the preset SOC minimum value, controlling the heat storage device to execute heat release action according to a preset objective function and a preset heat storage constraint condition to meet the heat load requirement, and simultaneously controlling the battery energy storage system to discharge according to the objective function and the preset energy storage operation constraint condition to increase the peak-valley price difference gain;
step S203, if the SOC of the battery energy storage system is smaller than or equal to the SOC minimum value, the heat storage device is controlled to execute heat release action according to the objective function and the heat storage constraint condition to meet the heat load requirement, and meanwhile the battery energy storage system is controlled not to act according to the objective function and the energy storage operation constraint condition.
By the control method, the electric boiler is used for heat storage while heat supply is met in the peak regulation period, and the electric heating device is driven to release heat through the battery energy storage system in the non-peak regulation period, so that heat supply in the heating period is realized. Therefore, the heat storage type electric boiler can consume electric quantity and supply heat in the heating period, and has important practical significance for reducing environmental pollution; and more electric quantity can be absorbed through the coordination of the battery energy storage system, and the battery energy storage system has the effect of 'peak clipping and valley filling' and has an important effect on the safety and stability of the system operation. And the battery energy storage system coordinates the heat storage type electric boiler, so that the peak shaving margin of the power grid can be enlarged, the power grid can be facilitated to accept the new energy (wind power and photoelectricity) to enter the power grid on a large scale, the peak shaving pressure of the power grid can be effectively reduced, the heat supply load can be flattened, the fuel can be saved, the operation efficiency of a unit can be improved, the operation condition of the unit can be improved, and in addition, the atmospheric pollution can be reduced to play a role in protecting the environment.
The method in the embodiment of the present application may further include: in a valley period, controlling the electric boiler to supply heat and controlling the heat storage device to execute heat storage action according to the target function and the heat storage constraint condition; and/or underestimating the time period, if wind abandon exists, judging whether the SOC of the battery energy storage system is smaller than a preset maximum SOC value, if the SOC of the battery energy storage system is smaller than the maximum SOC value, controlling the battery energy storage system to perform charging peak shaving according to the objective function and the energy storage operation constraint condition, and if the SOC of the battery energy storage system is larger than or equal to the maximum SOC value, continuing wind abandon. Therefore, the characteristics of high response speed and bidirectional energy flow of the battery energy storage system can be utilized in the non-heat supply period, the power grid dispatching instruction can be responded in real time to carry out charging and discharging, and the benefits are earned by carrying out peak clipping and valley filling.
The method in the embodiment of the present application may further include: judging whether the SOC of the battery energy storage system is lower than a preset SOC maximum value or not under the condition of flat time and peak regulation requirements; if the SOC of the battery energy storage system is lower than a preset SOC maximum value, controlling a heat storage device to execute heat release action according to the objective function and the heat storage constraint condition so as to meet the heat load requirement, and controlling the battery energy storage system to charge according to the objective function and the energy storage operation constraint condition; and if the SOC of the battery energy storage system is not lower than the maximum SOC, controlling the heat storage device to execute heat release action according to the objective function and the heat storage constraint condition, and controlling the battery energy storage system to stop acting according to the objective function and the energy storage operation constraint condition.
The method of the embodiment of the present application may further include: judging whether the SOC of the battery energy storage system is in a preset SOC range or not under the condition of no peak regulation requirement in a flat time period; if the SOC of the battery energy storage system is in the SOC range, controlling the heat storage device to act according to the objective function and the heat storage constraint condition, and simultaneously controlling the battery energy storage system to perform charge and discharge actions according to the objective function and the energy storage operation constraint condition so as to enable the SOC value of the battery energy storage system to be in the SOC range; and if the SOC of the battery energy storage system is in a set range, controlling the heat storage device to act (for example, release heat) according to the objective function and the heat storage constraint condition, and controlling the battery energy storage system not to act according to the objective function and the energy storage operation constraint condition.
In the embodiment of the present application, the objective function may be an objective function established with a daily gain as a target.
In some examples, in order to guarantee the profit condition of the battery energy storage coordination heat storage type electric boiler in actual operation, the following objective function can be established in daily profitNumber: r is S1+S2+S3-C1-C2Wherein S is1To compensate for revenue for peak shaving policies, S2Income for combined systems supplying heat to equipment in a heat network, e.g. thermal power plants, S3Peak clipping and valley filling for energy storage in non-heat supply period, C1For the investment and operation and maintenance costs of the battery energy storage system, C2The investment and operation and maintenance costs of the heating electric heating device are reduced.
In the above example, S1＝EsP, where Es is the daily peak-shaving power of the combined system (i.e., the system composed of the battery energy storage system and the electric heating device), and P is the compensated peak-shaving unit price.
In the above example, S2＝Qs*PqWherein Q issFor average daily heat supply plant sales of combined systems, PqThe heat is sold to the heat supply station.
In the above example, S3＝Ee*PcWhere Ee is the capacity of the energy storage system, PcThe peak clipping and valley filling are performed.
In the above-described example of the present invention,
wherein Es is the daily peak regulation electric quantity of the combined system, and P is the compensated peak regulation unit price.
In the above-described example of the present invention,
wherein, CbFor one input of the combined system, NbThe service life of the electric heating device, D is the number of days of the annual heating period, CaThe operation and maintenance cost of the electric heating device is one time, and n is the average operation times per day.
In the embodiment of the present application, constraints in operation need to be considered at the same time. In some examples, the heat storage operating constraints may include one or more of 1) to 3) below, and the energy storage operating constraints may include one or more of 4) to 6) below.
1) Power constraint of the electric heating device:
Pdmin≤Pd≤Pdmax
in the formula, PdminFor the operating power of electric heating devices, PdminAnd PdmaxRespectively representing the upper limit and the lower limit of the running power of the electric power generation device.
2) Capacity constraint of the electric heating device:
Qdmin≤Qt≤Qdmax
where Qt is the heat storage amount of the electric heating device at time t, η is the electric-heat conversion efficiency of the electric heating device, and Pg(t) the required heating power at time t, QdminAnd QdmaxRespectively representing the upper and lower limits of the heat storage capacity of the electric mining device.
3) Heat supply restraint in heating period:
Qh≥QN
in the formula, QhFor maximum heat supply per day of electric heating apparatus, QNThe minimum heating load required by the heating area is represented and belongs to a known quantity.
4) And (3) restraining the operating power of the energy storage system:
in the formula (I), the compound is shown in the specification,
to charge the energy storage system with power,
discharging power, P, for energy storage systemsemaxAnd the upper limit value of the operating power of the energy storage system is set.
5) And (3) restraining the running SOC of the energy storage system:
wherein SOC (t) is the state of charge of the energy storage system at the time t, SOC (t-1) is the state of charge of the energy storage system at the time t-1,ethe energy storage charge-discharge efficiency.
6) And (4) energy storage operation state constraint:
SOCmax≤SOC(t)≤SOCmax
in the formula, SOCmax and SOCmin are the maximum value and the minimum value of the energy storage state of charge.
The daily gain of the hybrid system is maximum after the energy storage coordination electric heating device is added can be calculated through the objective function and the constraint condition.
In consideration of exerting the respective advantages of the heat storage type electric boiler and the battery energy storage system, the battery energy storage system coordinates the time-interval operation control strategy of the heat storage type electric boiler to realize the control of optimizing thermal power peak regulation for battery energy storage coordinated electric heating.
Fig. 3 shows an exemplary specific implementation flow of the control method for thermal power peak regulation optimization for battery energy storage coordinated electric heating in the embodiment of the present application, that is, an implementation process of the time-interval operation control strategy for coordinating the heat storage type electric boiler through the battery energy storage system. In fig. 3, "heat storage" refers to a "heat storage device," electric energy storage "refers to a battery energy storage system (i.e., the energy storage system in fig. 1)," Y "refers to yes," N "refers to no," T refers to a scheduling cycle, assuming that a scheduling cycle is from 22 hours to the next day 22, and T refers to a time period from the time of day 22 to the next day 22.
As shown in fig. 3, since the thermal storage type electric boiler has a heating restriction, the battery energy storage system (i.e. the energy storage system in fig. 1) acts in coordination with the thermal storage type electric boiler as a peak shaving main body in this example. Assuming that 22 hours-the next day 22 hours are taken as a scheduling cycle, the initial scheduling time is a load valley period, and the operation control strategy is as follows:
1) in the initial low-valley period, the electric boiler supplies heat and the heat storage device stores heat, so that the peak-shaving electric quantity is mainly used for supplying heat, and when the peak-shaving electric quantity does not meet the heat supply requirement, the conventional electric quantity is consumed; when no waste wind exists in the system, the electric boiler consumes conventional electric quantity for heating. When the system still has abandon wind, electric boiler consumes and abandons the electric quantity heat supply. When the wind is abandoned and the state of charge (SOC) of the battery energy storage system is smaller than the preset maximum SOC value (SOCmax), the action of the battery energy storage system is to perform charging peak shaving. And when the wind abandon exists in the system and the state of charge (SOC) of the battery energy storage system is not less than the preset maximum SOC value (SOCmax), continuing to abandon the wind.
2) During the peak time, if the SOC of the battery energy storage system is larger than a preset SOC minimum value (SOCmin), the heat storage device executes a heat release action to meet the heat load requirement, and the battery energy storage system discharges to increase the peak-valley price difference gain; if the SOC of the battery energy storage system is less than or equal to a preset SOC minimum value (SOCmin), the heat storage device performs a heat release action to meet a heat load requirement, and the battery energy storage system does not act.
3) When the SOC of the battery energy storage system is lower than the maximum SOC value in the flat time period and under the condition of peak shaving demand, the heat storage device executes heat release action to meet the heat load demand and the battery energy storage system is charged; when the SOC of the battery energy storage system is not lower than the maximum SOC value, the heat storage device performs heat release action, and the battery energy storage system does not act.
4) When the SOC of the battery energy storage system is not within a set range (the set range is determined by the minimum SOC value and the maximum SOC value) during the flat time period without peak shaving requirement, the battery energy storage system performs charge and discharge operations while the heat storage device operates (for example, releases heat) so that the SOC value of the battery energy storage system is within the set range; when the SOC of the battery energy storage system is within a set range (which is determined by the SOC minimum value and the SOC maximum value described above), the heat storage device operates (for example, releases heat) and the battery energy storage does not operate.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are also included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A control method for optimizing thermal power peak regulation of electric heating in coordination with energy storage of a battery comprises the following steps:
judging whether the SOC of the battery energy storage system is larger than a preset SOC minimum value or not at a peak time period;
if the SOC of the battery energy storage system is larger than the preset SOC minimum value, controlling the heat storage device to execute heat release action according to a preset objective function and a preset heat storage constraint condition to meet the heat load requirement, and simultaneously controlling the battery energy storage system to discharge according to the objective function and the preset energy storage operation constraint condition to increase the peak-valley price difference gain;
and if the SOC of the battery energy storage system is smaller than or equal to the SOC minimum value, controlling the heat storage device to execute heat release action according to the objective function and the heat storage constraint condition to meet the heat load requirement, and controlling the battery energy storage system not to act according to the objective function and the energy storage operation constraint condition.
2. The method of claim 1, further comprising:
in a valley period, controlling the electric boiler to supply heat and controlling the heat storage device to execute heat storage action according to the target function and the heat storage constraint condition; and/or the presence of a gas in the gas,
and in an underestimation time period, if wind abandon exists, judging whether the SOC of the battery energy storage system is smaller than a preset maximum SOC value, if the SOC of the battery energy storage system is smaller than the maximum SOC value, controlling the battery energy storage system to perform charging peak shaving according to the objective function and the energy storage operation constraint condition, and if the SOC of the battery energy storage system is larger than or equal to the maximum SOC value, continuing to abandon the wind.
3. The method of claim 1, further comprising:
judging whether the SOC of the battery energy storage system is lower than a preset SOC maximum value or not under the condition of flat time and peak regulation requirements;
if the SOC of the battery energy storage system is lower than a preset SOC maximum value, controlling a heat storage device to execute heat release action according to the objective function and the heat storage constraint condition so as to meet the heat load requirement, and controlling the battery energy storage system to charge according to the objective function and the energy storage operation constraint condition;
and if the SOC of the battery energy storage system is not lower than the maximum SOC, controlling the heat storage device to execute heat release action according to the objective function and the heat storage constraint condition, and controlling the battery energy storage system to stop acting according to the objective function and the energy storage operation constraint condition.
4. The method of claim 1, further comprising:
judging whether the SOC of the battery energy storage system is in a preset SOC range or not under the condition of no peak regulation requirement in a flat time period;
if the SOC of the battery energy storage system is in the SOC range, controlling the heat storage device to act according to the objective function and the heat storage constraint condition, and simultaneously controlling the battery energy storage system to perform charge and discharge actions according to the objective function and the energy storage operation constraint condition so as to enable the SOC value of the battery energy storage system to be in the SOC range;
and if the SOC of the battery energy storage system is in a set range, controlling the heat storage device to act (for example, release heat) according to the objective function and the heat storage constraint condition, and controlling the battery energy storage system not to act according to the objective function and the energy storage operation constraint condition.
5. The method of any one of claims 1 to 4, wherein the objective function is an objective function established with a daily gain as a target;
wherein the objective function is: r is S1+S2+S3-C1-C2；
In the formula, S1In order to compensate for revenue in the peak shaver policy,S2revenue for combined system heating to thermal power plant, S3Peak clipping and valley filling for energy storage in non-heat supply period, C1For the investment and operation and maintenance costs of the battery energy storage system, C2In order to supply the investment and operation and maintenance costs of the electric heating device, the electric heating device comprises the heat storage device, and the combined system comprises the battery energy storage system and the electric heating device.
6. The method of any of claims 1 to 4, wherein the heat storage constraints include electrical heating plant power constraints comprising the heat storage plant:
Pdmin≤Pd≤Pdmax；
wherein, PdminFor the operating power of electric heating devices, PdminAnd PdmaxRespectively representing the upper limit and the lower limit of the operating power of the electric heating device, wherein the electric heating device comprises the heat storage device.
7. The method of claim 6, wherein the thermal storage constraints further comprise electric heating capacity constraints as follows:
Qdmin≤Qt≤Qdmax；
wherein Q istThe heat storage capacity of the electric heating device at the time t is shown as η, the electric heat conversion efficiency of the electric heating device is shown as Pg(t) the required heating power at time t, QdminAnd QdmaxRespectively representing the upper and lower limits of the heat storage capacity of the electric mining device.
8. The method of claim 6, wherein the heat storage constraints further comprise a heating life heat supply constraint as follows:
Qh≥QN；
in the formula, QhFor maximum heat supply per day of electric heating apparatus, QNThe minimum heating load required by the heating area is represented and belongs to a known quantity.
9. A method as claimed in any one of claims 1 to 4, wherein the stored energy operating constraints include one or more of:
and (3) restraining the operation power of the battery energy storage system:
to charge the power for the battery energy storage system,
discharging power, P, for a battery energy storage systememaxAn upper limit value of the operating power of the battery energy storage system;
and (4) energy storage operation state constraint: SOCmax≤SOC(t)≤SOCmaxThe SOCmax is the maximum preset state of charge of the battery energy storage system, and the SOCmin is the minimum preset state of charge of the battery energy storage system.
10. The method of any of claims 1 to 4, wherein the energy storage operating constraints comprise battery energy storage system operating SOC constraints of:
wherein, SOC (t) is the state of charge of the battery energy storage system at the time t, SOC (t-1) is the state of charge of the battery energy storage system at the time t-1,ethe charging and discharging efficiency of the battery energy storage system is improved.
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| Publication number | Priority date | Publication date | Assignee | Title |
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