CN111680816A - Energy storage system operation method and system for providing multiple services - Google Patents

Energy storage system operation method and system for providing multiple services Download PDF

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CN111680816A
CN111680816A CN202010317832.1A CN202010317832A CN111680816A CN 111680816 A CN111680816 A CN 111680816A CN 202010317832 A CN202010317832 A CN 202010317832A CN 111680816 A CN111680816 A CN 111680816A
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修晓青
王悦萦
李相俊
李蓓
牛萌
靳文涛
谢志佳
刘国静
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State Grid Corp of China SGCC
China Electric Power Research Institute Co Ltd CEPRI
State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention discloses an energy storage system operation method and system for providing multiple services, wherein the method comprises the following steps: confirming multiple service types provided by the energy storage system; establishing a single value evaluation model corresponding to a single service type; establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model; and optimizing the charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system to obtain an optimized operation strategy when multiple service types are provided by the energy storage system.

Description

Energy storage system operation method and system for providing multiple services
Technical Field
The invention relates to the technical field of power grid side energy storage application and value evaluation, in particular to an energy storage system operation method and system for providing multiple services.
Background
In recent years, with the progress of large-scale energy storage technology, cost reduction, and the advent of policies, the number of items and installed capacity of energy storage in the scenarios such as the power generation side, the power grid side, the user side, and the new energy power source side have increased significantly. According to the latest statistical data, the accumulated installed scale of the operated electrochemical energy storage project in China is 1280.3MW up to the end of 6 months in 2019, the accumulated installed scale accounts for 4.1% of the energy storage market in China, and is increased by 19.4% compared with the end of 2018, typical demonstration projects such as a Henan power grid 100MW/100MWh energy storage power station, a Jiangsu Zhenjiang 101MW/202MWh energy storage power station, a Guangdong power grid 5MW/10MWh energy storage power station and a Hunan Changsha 60MW/120MWh energy storage power station are mainly used for participating in power grid peak regulation, frequency modulation and power auxiliary service, improving the safety and stability of the power grid and the like. The energy storage technology has four-quadrant active and reactive second-level response capability, different services can be provided under different application scenes, time-sequence restriction exists among different services, the power grid function requirement is responded, the economy of energy storage application is improved, the operation strategy of providing various services by energy storage is discussed, and the energy storage technology has certain practical significance.
Therefore, a technique is needed to implement a multi-service energy storage system optimization operation strategy.
Disclosure of Invention
The technical scheme of the invention provides an energy storage system operation method and system for providing multiple services, and aims to solve the problem of how to optimize an operation strategy of the energy storage system with multiple services.
In order to solve the above problem, the present invention provides an energy storage system operation method for providing multiple services, the method including:
confirming multiple service types provided by the energy storage system;
establishing a single value evaluation model corresponding to a single service type;
establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model;
and optimizing the charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system to obtain an optimized operation strategy when multiple service types are provided by the energy storage system.
Preferably, the multiple service types include: energy services, capacity services and auxiliary services;
the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure BDA0002460117360000021
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000022
are respectively an energy storage systemCharging and discharging power of the system in the t time period;
Figure BDA0002460117360000023
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure BDA0002460117360000024
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000031
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000032
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA0002460117360000033
is the government subsidy price in the time period t; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure BDA0002460117360000034
in the above formula, V3The energy storage system provides the benefits of peak shaving service; t is dayPeriod ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000035
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000036
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation subsidy; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure BDA0002460117360000037
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000038
the discharge power of the energy storage system is provided for standby service;
Figure BDA0002460117360000039
power price during time t when the standby service is provided β4Is a government subsidy; Δ t is the sampling time interval.
Preferably, the optimized operation strategy for multiple service types provided by the energy storage system is as follows:
the energy storage system provides real-time feedback information for upper-layer scheduling, wherein the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer scheduling sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, judging the consistency of the charging and discharging directions of the service;
when the energy storage system judges that the charging and discharging directions of the service are consistent and the energy storage capacity and the power of the energy storage system meet the service, the requirement of providing the service is finished through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the provided service are inconsistent, analyzing the relation between the capacity and the power of the energy storage system and the provided service, and optimally selecting the service type which can be provided by the energy storage system according to the maximum benefit target; and when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system is used for completing the service providing requirements.
Based on another aspect of the present invention, the present invention provides an energy storage system operation system for providing multiple services, the system comprising:
the initial unit is used for confirming multiple service types provided by the energy storage system;
a first establishing unit, configured to establish a single value evaluation model corresponding to a single service type;
the second establishing unit is used for establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model;
and the decision unit is used for optimizing the charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system to obtain an optimized operation strategy when multiple service types are provided by the energy storage system.
Preferably, the multiple service types include: energy services, capacity services and auxiliary services;
the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure BDA0002460117360000051
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000052
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000053
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure BDA0002460117360000054
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000055
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000056
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA0002460117360000057
is the government subsidy price in the time period t; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure BDA0002460117360000061
in the above formula, V3Is the benefit of the energy storage system providing peak shaving service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000062
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000063
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation subsidy; Δ t is the sampling time interval.
Preferably, the establishing a single value evaluation model corresponding to a single service type further comprises:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure BDA0002460117360000064
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000065
the discharge power of the energy storage system is provided for standby service;
Figure BDA0002460117360000066
is provided withElectricity price during service time t period β4Is a government subsidy; Δ t is the sampling time interval.
Preferably, the optimized operation strategy for multiple service types provided by the energy storage system is as follows:
the energy storage system provides real-time feedback information for upper-layer scheduling, wherein the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer scheduling sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, judging the consistency of the charging and discharging directions of the service;
when the energy storage system judges that the charging and discharging directions of the service are consistent and the energy storage capacity and the power of the energy storage system meet the service, the requirement of providing the service is finished through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the provided service are inconsistent, analyzing the relation between the capacity and the power of the energy storage system and the provided service, and optimally selecting the service type which can be provided by the energy storage system according to the maximum benefit target; and when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system is used for completing the service providing requirements.
The technical scheme of the invention provides an energy storage system operation method and system for providing multiple services, wherein the method comprises the following steps: confirming multiple service types provided by the energy storage system; establishing a single value evaluation model corresponding to a single service type; establishing a multiple value evaluation model of multiple service types provided by the energy storage system; according to the multiple value evaluation model of the energy storage system, the maximum benefit target is used for optimizing the charging and discharging curve of the energy storage system, and the optimized operation strategy when multiple service types are provided by the energy storage system is obtained. The energy storage operation method and system for providing multiple services, which are provided by the technical scheme of the invention, provide technical support for promoting the commercial development and application of power grid side energy storage. According to the technical scheme, value evaluation models of the energy storage system under single service and multiple services are respectively constructed according to the service types provided by the energy storage system. And aiming at realizing the optimal economy of energy storage application, an optimized operation strategy of the energy storage system in a mode of providing multiple services is provided.
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A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flow chart of an operating method of an energy storage system providing multiple services according to a preferred embodiment of the present invention;
FIG. 2 is a schematic diagram of an operation strategy for providing multiple services in energy storage according to a preferred embodiment of the present invention; and
fig. 3 is a diagram illustrating an operation system of an energy storage system for providing multiple services according to a preferred embodiment of the present invention.
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of an operation method of an energy storage system providing multiple services according to a preferred embodiment of the present invention. The method comprehensively considers multiple service types which can be provided by the energy storage system, including providing energy service, capacity service and auxiliary service, respectively constructs a single value evaluation model taking benefit as an index and a comprehensive value model providing multiple services for each service type, and optimizes the operation strategy of energy storage with the maximum comprehensive benefit as a target. The invention firstly defines the service types which can be provided by the stored energy; secondly, constructing a value evaluation model of the single service; then constructing a value evaluation model of the multiple services; and finally, providing an operation strategy under the condition that the stored energy participates in the multiple services. As shown in fig. 1, the present invention provides an energy storage system operation method for providing multiple services, the method includes:
preferably, in step 101: multiple types of services provided by the energy storage system are identified. Preferably, the multiple service types include: energy services, capacity services and auxiliary services; the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
The invention firstly defines the service types provided by the energy storage, wherein:
(1) energy services, namely services provided by energy storage participating in two energy markets of the power system in the day ahead and in real time, wherein the energy services provided by an energy storage power station constructed by a third-party investment subject are mainly embodied in a peak clipping and valley filling mode, and are arbitrage through electricity price difference;
(2) the capacity service is characterized in that the capacity service provided by the energy storage is used for ensuring the reliability of a power grid, and when the capacity service is provided, a reliability pricing model is established on the basis of keeping the capacity electricity price consistent with the system reliability requirement;
(3) the auxiliary service is provided for maintaining the safe and stable operation of the power system and guaranteeing the quality of electric energy, and is provided for power plants, power grid operation enterprises or users. The auxiliary services related in the current energy storage demonstration project of China mainly comprise three types: frequency modulation, peak shaving, and standby service.
Preferably, at step 102: a single value evaluation model corresponding to a single service type is established. Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure BDA0002460117360000091
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000092
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000093
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
The method for establishing the value evaluation model of the energy storage and single service comprises the step of establishing the value evaluation model of the energy storage and energy service.
When the energy storage system provides energy service, the profit is obtained through the price difference, and a single value evaluation model is established for the service by taking the benefit of energy storage operation as an index.
An objective function:
Figure BDA0002460117360000094
in the formula, V1Is the benefit of energy storage to provide energy service, T is the date, ηc、ηfRespectively the efficiency of energy storage charging and discharging;
Figure BDA0002460117360000095
the charging power and the discharging power of the stored energy in the t time period are respectively;
Figure BDA0002460117360000096
respectively storing the charging and discharging electricity prices of the energy in the t time period; Δ t is the sampling time interval (min). In any period, the stored energy is only allowed to be charged or discharged, and charging and discharging are not allowed to be carried out simultaneously.
The constraint conditions are as follows:
1) and (3) energy storage system charge and discharge power constraint:
Figure BDA0002460117360000101
in the formula, PEIs the energy storage system rated power.
2) And (3) energy storage system charge state constraint:
Smin≤St≤Smax
in the formula, Smax、SminRespectively set upper limit and lower limit of the state of charge of the energy storage system.
3) And (3) energy storage system charge state conversion constraint:
the state of charge constraint on energy storage charging can be expressed as:
Figure BDA0002460117360000102
the state of charge constraint on energy storage discharge can be expressed as:
Figure BDA0002460117360000103
wherein E is the energy storage rated capacity.
4) And (3) system power flow constraint:
node power balance constraint:
considering the access of energy storage on a network node i, the power balance constraints on each node j can be classified into the following two categories:
Figure BDA0002460117360000104
Figure BDA0002460117360000105
in the formula (I), the compound is shown in the specification,
Figure BDA0002460117360000106
is a nodeActive and reactive load power on j, Pj,t、Qj,tIs the power injected at the node j,
Figure BDA0002460117360000111
is the power produced by the generator at node j.
And (3) line power flow constraint:
Figure BDA0002460117360000112
in the formula, PijIs the transmission power on the line or lines,
Figure BDA0002460117360000113
is the transmission capacity of the line and,
Figure BDA0002460117360000114
the constraint parameter is a constraint parameter of the line load rate, and the value range of the constraint parameter is (0, 1)]。
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure BDA0002460117360000115
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000116
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000117
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA0002460117360000118
is the government subsidy price in the time period t; Δ t is the sampling time interval.
The second-level response capability of the energy storage system can provide frequency modulation auxiliary service for the power system, and a single value evaluation model of the energy storage participating in the frequency modulation auxiliary service is constructed by taking benefits brought by the frequency modulation auxiliary service as indexes.
An objective function:
Figure BDA0002460117360000119
in the formula, V2The energy storage provides benefits brought by frequency modulation;
Figure BDA00024601173600001110
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA00024601173600001111
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA00024601173600001112
is a government subsidy price.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure BDA0002460117360000121
in the above formula, V3Is the benefit of the energy storage system providing peak shaving service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000122
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000123
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation subsidy; Δ t is the sampling time interval.
The peak shaving auxiliary service adopts an energy storage system to reduce peak load requirements, and avoids starting and stopping peak shaving of a conventional unit at load peaks and load valleys.
An objective function:
Figure BDA0002460117360000124
in the formula (I), the compound is shown in the specification,
Figure BDA0002460117360000125
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000126
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation patch.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
The invention can reduce the peak load demand by adopting the energy storage system, and avoids the peak regulation when the conventional unit is started and stopped at the load peak and the load valley.
An objective function:
Figure BDA0002460117360000131
in the formula (I), the compound is shown in the specification,
Figure BDA0002460117360000132
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000133
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation patch.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure BDA0002460117360000134
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000135
the discharge power of the energy storage system is provided for standby service;
Figure BDA0002460117360000136
power price during time t when the standby service is provided β4Is a government subsidy; Δ t is the sampling time interval.
The grid-connected energy storage system can reduce the reserve capacity of the traditional generator set, improve the safety stability and reliability of the operation of a power grid, and construct a single value evaluation model for providing the reserve service by the energy storage by taking the benefit of providing the service by the energy storage as an index.
An objective function:
Figure BDA0002460117360000137
in the formula, w4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000141
for storing energy while providing standby serviceThe power of the system is discharged, and the system,
Figure BDA0002460117360000142
power price during time t when the standby service is provided β4Is a government subsidy.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
Preferably, in step 103: and establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model.
Preferably, at step 104: according to the multiple value evaluation model of the energy storage system, the maximum benefit target is used for optimizing the charging and discharging curve of the energy storage system, and the optimized operation strategy when multiple service types are provided by the energy storage system is obtained.
The invention constructs a value evaluation model for providing multiple services by energy storage. The invention constructs a value evaluation model for providing multiple services by energy storage.
The full life cycle cost condition of the energy storage system at the present stage is considered, the energy storage provides multiple services, multi-party benefits are obtained, the potential of energy storage application can be mined, and the economy of the energy storage application is improved. And establishing a value evaluation model for providing multiple services by using the comprehensive benefits as indexes.
An objective function:
maxV=V1+V2+V3+V4
constraint conditions are as follows:
and (2) system flow constraint:
a node power balance constraint:
considering the access of energy storage on a network node i, the power balance constraints on each node j can be classified into the following two categories:
Figure BDA0002460117360000143
Figure BDA0002460117360000151
wherein m is the number of services provided by the stored energy,
Figure BDA0002460117360000152
represents the charging and discharging active power of the stored energy providing the mth service,
Figure BDA0002460117360000153
is the corresponding reactive power.
b, line power flow constraint:
Figure BDA0002460117360000154
in the formula, PijIs the transmission power on the transmission line,
Figure BDA0002460117360000155
is the maximum value of the transmission power on the transmission line,
Figure BDA0002460117360000156
is a constraint parameter of the load rate on the transmission line, and the value range of the constraint parameter is (0, 1)]。
B, energy storage system charge and discharge power constraint:
Figure BDA0002460117360000157
c, energy storage system charge state conversion constraint:
the state of charge constraint on energy storage charging can be expressed as:
Figure BDA0002460117360000158
the state of charge constraint on energy storage discharge can be expressed as:
Figure BDA0002460117360000159
preferably, the optimized operation strategy for multiple service types provided by the energy storage system is as follows:
the energy storage system provides real-time feedback information for upper-layer scheduling, wherein the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer dispatching sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, the consistency of the charging and discharging directions of the service is judged;
when the energy storage system judges that the charging and discharging directions of the service are consistent and the energy storage capacity and the power of the energy storage system meet the service, the requirement of the service is met through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the provided service are inconsistent, the relation between the capacity and the power of the energy storage system and the provided service is analyzed, and the service type which can be provided by the energy storage system is optimally selected according to the maximum benefit target; when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system can complete the service providing requirements.
The invention optimizes the operation strategy of energy storage and providing multiple services. According to the value evaluation model for providing multiple services by energy storage, the maximum benefit is the target, the charging and discharging curve of the energy storage system is optimized, and the optimized operation strategy when the energy storage provides energy services, capacity services and auxiliary services is obtained.
As shown in fig. 2, the present invention considers an operation strategy for providing multiple services by energy storage, and the specific steps include: firstly, an energy storage system feeds back real-time conditions including residual capacity and available charging and discharging conditions to upper layer scheduling; when the energy storage receives a signal for providing service, whether the charging and discharging directions of the required service are consistent or not is judged, if not, the current capacity and power of the energy storage and the economical efficiency of each service need to be considered comprehensively, the type of the provided service is selected preferentially, and if the charging and discharging directions are consistent, whether the energy storage capacity and the power meet the system requirement or not is judged; and finally, the energy storage system provides corresponding service to ensure the normal operation of the power grid.
Fig. 3 is a diagram illustrating an operation system of an energy storage system for providing multiple services according to a preferred embodiment of the present invention. As shown in fig. 3, the present invention provides an energy storage system operation system for providing multiple services, the system comprising:
an initial unit 301, configured to identify multiple service types provided by the energy storage system. Preferably, the multiple service types include: energy services, capacity services and auxiliary services; the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
The invention firstly defines the service types which can be provided by the stored energy through an initial unit, wherein:
(1) energy services, namely services provided by energy storage participating in two energy markets of the power system in the day ahead and in real time, wherein the energy services provided by an energy storage power station constructed by a third-party investment subject are mainly embodied in a peak clipping and valley filling mode, and are arbitrage through electricity price difference;
(2) the capacity service is characterized in that the capacity service provided by the energy storage is used for ensuring the reliability of a power grid, and when the capacity service is provided, a reliability pricing model is established on the basis of keeping the capacity electricity price consistent with the system reliability requirement;
(3) the auxiliary service is provided for maintaining the safe and stable operation of the power system and guaranteeing the quality of electric energy, and is provided for power plants, power grid operation enterprises or users. The auxiliary services related in the current energy storage demonstration project of China mainly comprise three types: frequency modulation, peak shaving, and standby service.
A first establishing unit 302, configured to establish a single value evaluation model corresponding to a single service type. Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure BDA0002460117360000171
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000172
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000173
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
The method for establishing the value evaluation model of the energy storage and single service comprises the step of establishing the value evaluation model of the energy storage and energy service.
When the energy storage system provides energy service, the profit is obtained through the price difference, and a single value evaluation model is established for the service by taking the benefit of energy storage operation as an index.
An objective function:
Figure BDA0002460117360000174
in the formula, V1Is the benefit of energy storage to provide energy service, T is the date, ηc、ηfRespectively the efficiency of energy storage charging and discharging;
Figure BDA0002460117360000175
the charging power and the discharging power of the stored energy in the t time period are respectively;
Figure BDA0002460117360000176
respectively storing the charging and discharging electricity prices of the energy in the t time period; Δ t is the sampling time interval (min). In any period, the stored energy is only allowed to be charged or discharged, and charging and discharging are not allowed to be carried out simultaneously.
The constraint conditions are as follows:
1) and (3) energy storage system charge and discharge power constraint:
Figure BDA0002460117360000181
in the formula, PEIs the energy storage systemAnd (5) fixing the power.
2) And (3) energy storage system charge state constraint:
Smin≤St≤Smax
in the formula, Smax、SminRespectively set upper limit and lower limit of the state of charge of the energy storage system.
3) And (3) energy storage system charge state conversion constraint:
the state of charge constraint on energy storage charging can be expressed as:
Figure BDA0002460117360000182
the state of charge constraint on energy storage discharge can be expressed as:
Figure BDA0002460117360000183
wherein E is the energy storage rated capacity.
4) And (3) system power flow constraint:
node power balance constraint:
considering the access of energy storage on a network node i, the power balance constraints on each node j can be classified into the following two categories:
Figure BDA0002460117360000191
Figure BDA0002460117360000192
in the formula (I), the compound is shown in the specification,
Figure BDA0002460117360000193
is the active and reactive load power on node j, Pj,t、Qj,tIs the power injected at the node j,
Figure BDA0002460117360000194
is the power produced by the generator at node j.
And (3) line power flow constraint:
Figure BDA0002460117360000195
in the formula, PijIs the transmission power on the line or lines,
Figure BDA0002460117360000196
is the transmission capacity of the line and,
Figure BDA0002460117360000197
the constraint parameter is a constraint parameter of the line load rate, and the value range of the constraint parameter is (0, 1)]。
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure BDA0002460117360000198
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000199
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA00024601173600001910
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA00024601173600001911
is the government subsidy price in the time period t; Δ t is the sampling time interval.
The second-level response capability of the energy storage system can provide frequency modulation auxiliary service for the power system, and a single value evaluation model of the energy storage participating in the frequency modulation auxiliary service is constructed by taking benefits brought by the frequency modulation auxiliary service as indexes.
An objective function:
Figure BDA0002460117360000201
in the formula, V2The energy storage provides benefits brought by frequency modulation;
Figure BDA0002460117360000202
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000203
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA0002460117360000204
is a government subsidy price.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
The second-level response capability of the energy storage system can provide frequency modulation auxiliary service for the power system, and a single value evaluation model of the energy storage participating in the frequency modulation auxiliary service is constructed by taking benefits brought by the frequency modulation auxiliary service as indexes.
An objective function:
Figure BDA0002460117360000205
in the formula, V2The energy storage provides benefits brought by frequency modulation;
Figure BDA0002460117360000206
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000207
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure BDA0002460117360000208
is a government subsidy price.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure BDA0002460117360000211
in the above formula, V3Is the benefit of the energy storage system providing peak shaving service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure BDA0002460117360000212
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000213
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation subsidy; Δ t is the sampling time interval.
The invention can reduce the peak load demand by adopting the energy storage system, and avoids the peak regulation when the conventional unit is started and stopped at the load peak and the load valley.
An objective function:
Figure BDA0002460117360000214
in the formula (I), the compound is shown in the specification,
Figure BDA0002460117360000215
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure BDA0002460117360000216
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation patch.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
Preferably, establishing a single value assessment model corresponding to a single service type further comprises:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure BDA0002460117360000217
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000218
the discharge power of the energy storage system is provided for standby service;
Figure BDA0002460117360000221
power price during time t when the standby service is provided β4Is a government subsidy; Δ t is the sampling time interval.
The grid-connected energy storage system can reduce the reserve capacity of the traditional generator set, improve the safety stability and reliability of the operation of a power grid, and construct a single value evaluation model for providing the reserve service by the energy storage by taking the benefit of providing the service by the energy storage as an index.
An objective function:
Figure BDA0002460117360000222
in the formula, w4Is the remaining capacity of the energy storage system battery;
Figure BDA0002460117360000223
is the energy storage system discharge power when providing backup service,
Figure BDA0002460117360000224
power price during time t when the standby service is provided β4Is a government subsidy.
The constraint condition is consistent with a constraint condition calculation method in a value evaluation model for providing energy services by stored energy.
The second establishing unit 303 is configured to establish a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model.
The invention constructs a value evaluation model for providing multiple services by energy storage. The invention constructs a value evaluation model for providing multiple services by energy storage.
The full life cycle cost condition of the energy storage system at the present stage is considered, the energy storage provides multiple services, multi-party benefits are obtained, the potential of energy storage application can be mined, and the economy of the energy storage application is improved. And establishing a value evaluation model for providing multiple services by using the comprehensive benefits as indexes.
An objective function:
maxV=V1+V2+V3+V4
constraint conditions are as follows:
and (2) system flow constraint:
a node power balance constraint:
considering the access of energy storage on a network node i, the power balance constraints on each node j can be classified into the following two categories:
Figure BDA0002460117360000231
Figure BDA0002460117360000232
wherein m is the number of services provided by the stored energy,
Figure BDA0002460117360000233
represents the charging and discharging active power of the stored energy providing the mth service,
Figure BDA0002460117360000234
is the corresponding reactive power.
b, line power flow constraint:
Figure BDA0002460117360000235
in the formula, PijIs the transmission power on the transmission line,
Figure BDA0002460117360000236
is the maximum value of the transmission power on the transmission line,
Figure BDA0002460117360000237
is a constraint parameter of the load rate on the transmission line, and the value range of the constraint parameter is (0, 1)]。
B, energy storage system charge and discharge power constraint:
Figure BDA0002460117360000238
c, energy storage system charge state conversion constraint:
the state of charge constraint on energy storage charging can be expressed as:
Figure BDA0002460117360000239
the state of charge constraint on energy storage discharge can be expressed as:
Figure BDA00024601173600002310
and the decision unit 304 is configured to optimize a charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system, and obtain an optimized operation strategy when multiple service types are provided by the energy storage system.
Preferably, the optimized operation strategy for multiple service types provided by the energy storage system is as follows:
the energy storage system provides real-time feedback information for upper-layer scheduling, and the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer dispatching sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, the consistency of the charging and discharging directions of the service is judged;
when the energy storage system judges that the charging and discharging directions of the service are consistent and the energy storage capacity and the power of the energy storage system meet the service, the requirement of the service is met through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the provided service are inconsistent, the relation between the capacity and the power of the energy storage system and the provided service is analyzed, and the service type which can be provided by the energy storage system is optimally selected according to the maximum benefit target; when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system can complete the service providing requirements.
The invention optimizes the operation strategy of energy storage and providing multiple services. According to the value evaluation model for providing multiple services by energy storage, the maximum benefit is the target, the charging and discharging curve of the energy storage system is optimized, and the optimized operation strategy when the energy storage provides energy services, capacity services and auxiliary services is obtained.
As shown in fig. 2, the present invention considers an operation strategy for providing multiple services by energy storage, and the specific steps include: firstly, an energy storage system feeds back real-time conditions including residual capacity and available charging and discharging conditions to upper layer scheduling; when the energy storage receives a signal for providing service, judging whether the charging and discharging directions of the required service are consistent or not, if the charging and discharging directions are inconsistent, comprehensively considering the current capacity and power of the energy storage and the economical efficiency of each service, preferentially selecting the type of the provided service, and if the charging and discharging directions are consistent, judging whether the energy storage capacity and the power meet the system requirement or not; and finally, the energy storage system provides corresponding service to ensure the normal operation of the power grid.
The invention has been described with reference to a few embodiments. However, other embodiments of the invention than the one disclosed above are equally possible within the scope of the invention, as would be apparent to a person skilled in the art from the appended patent claims.
Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a/an/the [ device, component, etc ]" are to be interpreted openly as referring to at least one instance of said device, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not have to be performed in the exact order disclosed, unless explicitly stated.

Claims (14)

1. A method of operating an energy storage system to provide multiple services, the method comprising:
confirming multiple service types provided by the energy storage system;
establishing a single value evaluation model corresponding to a single service type;
establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model;
and optimizing the charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system to obtain an optimized operation strategy when multiple service types are provided by the energy storage system.
2. The method of claim 1, the multiple service types comprising: energy services, capacity services and auxiliary services;
the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
3. The method of claim 2, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure FDA0002460117350000011
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000012
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure FDA0002460117350000013
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
4. The method of claim 2, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure FDA0002460117350000021
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000022
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure FDA0002460117350000023
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure FDA0002460117350000024
is the government subsidy price in the time period t; Δ t is the sampling timeAnd (4) spacing.
5. The method of claim 2, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure FDA0002460117350000025
in the above formula, V3Is the benefit of the energy storage system providing peak shaving service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000026
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure FDA0002460117350000027
is the peak-load electricity price of the energy storage system in the time period t, β3Is a peak regulation subsidy; Δ t is the sampling time interval.
6. The method of claim 2, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure FDA0002460117350000031
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure FDA0002460117350000032
is the energy storage system discharge power during time period t when providing the standby service;
Figure FDA0002460117350000033
power price during time t when the standby service is provided β4Is a government subsidy; Δ t is the sampling time interval.
7. The method of claim 1, wherein the optimal operation policy for multiple service types provided by the energy storage system is:
the energy storage system provides real-time feedback information for upper-layer scheduling, wherein the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer scheduling sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, judging the consistency of the charging and discharging directions of the service;
when the energy storage system judges that the charging and discharging directions of the service to be provided are consistent, and the energy storage capacity and the power of the energy storage system meet the service, the requirement of providing the service is completed through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the service to be provided are inconsistent, analyzing the relation between the capacity and the power of the energy storage system and the service to be provided, and optimally selecting the service type which can be provided by the energy storage system according to the maximum benefit target; and when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system is used for completing the service providing requirements.
8. An energy storage system operation system providing multiple services, the system comprising:
the initial unit is used for confirming multiple service types provided by the energy storage system;
a first establishing unit, configured to establish a single value evaluation model corresponding to a single service type;
the second establishing unit is used for establishing a multiple value evaluation model of multiple service types provided by the energy storage system based on the single value evaluation model;
and the decision unit is used for optimizing the charging and discharging curve of the energy storage system with the maximum benefit target according to the multiple value evaluation model of the energy storage system to obtain an optimized operation strategy when multiple service types are provided by the energy storage system.
9. The system of claim 8, the multiple service types comprising: energy services, capacity services and auxiliary services;
the auxiliary service includes: frequency modulated auxiliary services, peak auxiliary services and standby services.
10. The system of claim 9, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing an energy service value evaluation model, wherein an objective function of the energy service value evaluation model is as follows:
Figure FDA0002460117350000041
in the above formula, V1Is the benefit of the energy storage system providing energy service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000042
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure FDA0002460117350000043
the charging and discharging electricity prices of the energy storage system in the time period t are respectively; Δ t is the sampling time interval.
11. The system of claim 9, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a frequency modulation service value evaluation model of the auxiliary service, wherein the target function of the frequency modulation service value evaluation model is as follows:
Figure FDA0002460117350000044
in the above formula, V2Is the benefit of the energy storage system providing frequency modulation service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000045
the charging power and the discharging power of the energy storage system in the t time period are respectively;
Figure FDA0002460117350000046
is the frequency modulation electricity price of the energy storage system in the time period t;
Figure FDA0002460117350000047
is the government subsidy price in the time period t; Δ t is the sampling time interval.
12. The method of claim 9, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a peak shaving service value evaluation model of the auxiliary service, wherein the target function of the peak shaving service value evaluation model is as follows:
Figure FDA0002460117350000051
in the above formula, V3Is the benefit of the energy storage system providing peak shaving service, T is the date, ηc、ηfThe efficiency of charging and discharging the energy storage system respectively;
Figure FDA0002460117350000052
are respectively storedCharging and discharging power of the system in the t time period;
Figure FDA0002460117350000053
is the peak-load electricity price of the energy storage system in the time period t, β3Is the peak shaver patch and α t is the sampling time interval.
13. The system of claim 9, the building a single value assessment model corresponding to a single type of the service, further comprising:
establishing a standby service value evaluation model of the auxiliary service, wherein the objective function of the standby service value evaluation model is as follows:
Figure FDA0002460117350000054
in the above formula, V4Is the benefit of the energy storage system providing peak shaving service, T is the date, ηfIs the efficiency of the energy storage system discharge; w is a4Is the remaining capacity of the energy storage system battery;
Figure FDA0002460117350000055
the discharge power of the energy storage system is provided for standby service;
Figure FDA0002460117350000056
power price during time t when the standby service is provided β4Is a government subsidy; Δ t is the sampling time interval.
14. The system of claim 8, wherein the optimal operating strategy for multiple service types provided by the energy storage system is:
the energy storage system provides real-time feedback information for upper-layer scheduling, wherein the feedback information comprises the residual capacity of the energy storage system and charging and discharging data capable of being provided; the upper layer scheduling sends a signal for providing service to the energy storage system according to the feedback information of the energy storage system;
when the energy storage system receives a signal for providing service, judging the consistency of the charging and discharging directions of the service;
when the energy storage system judges that the charging and discharging directions of the service are consistent and the energy storage capacity and the power of the energy storage system meet the service, the requirement of providing the service is finished through the energy storage system; or
When the energy storage system judges that the charging and discharging directions of the provided service are inconsistent, analyzing the relation between the capacity and the power of the energy storage system and the provided service, and optimally selecting the service type which can be provided by the energy storage system according to the maximum benefit target; and when the energy storage capacity and the power of the energy storage system meet the service requirements, the energy storage system is used for completing the service providing requirements.
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