CN113610435A - Peak regulation method and device for power system based on thermal power, self-contained power plant and energy storage - Google Patents

Peak regulation method and device for power system based on thermal power, self-contained power plant and energy storage Download PDF

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CN113610435A
CN113610435A CN202110972702.6A CN202110972702A CN113610435A CN 113610435 A CN113610435 A CN 113610435A CN 202110972702 A CN202110972702 A CN 202110972702A CN 113610435 A CN113610435 A CN 113610435A
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power
self
peak
power plant
energy storage
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郭琦
李洪波
袁少卿
吕小凡
康宏伟
李晗
石建国
张也
王泽斌
戴玮
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Inner Mongolia Power(group) Co ltd Power Dispatch Control Branch
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Inner Mongolia Power(group) Co ltd Power Dispatch Control Branch
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    • 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
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • 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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    • 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
    • G06Q10/06313—Resource planning in a project environment
    • 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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    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
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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
    • G06Q30/00—Commerce
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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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • 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
    • 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
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/62—The condition being non-electrical, e.g. temperature
    • H02J2310/64—The condition being economic, e.g. tariff based load management
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/10—Energy trading, including energy flowing from end-user application to grid
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
    • Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

The utility model relates to a power system peak regulation method and device based on thermoelectricity, self-contained power plant and energy storage, the power system peak regulation method based on thermoelectricity, self-contained power plant and energy storage is including obtaining power system peak regulation participant declare data, power system peak regulation participant is including energy storage, self-contained power plant and public thermoelectricity, with the lowest peak regulation cost of market as objective function and establish peak regulation market bid clear model, with power system peak regulation participant declare data as the model parameter, set up the constraint condition, solve based on model parameter and constraint condition the peak regulation market bid clear model, obtain power system peak regulation clear data. The peak regulation market clearing model is given out through public thermal power, the self-contained power plant and the independent energy storage jointly participate, the peak regulation pressure of the thermal power unit is relieved through the peak regulation capacity of the self-contained power plant and the independent energy storage, the wind abandonment caused by insufficient peak regulation capacity of the thermal power unit, the ultra-short-term generated energy increase of new energy and other reasons is effectively avoided, and the new energy consumption is promoted.

Description

Peak regulation method and device for power system based on thermal power, self-contained power plant and energy storage
Technical Field
The application belongs to the technical field of power systems, and particularly relates to a peak shaving method and device for a power system based on thermal power, a self-contained power plant and energy storage.
Background
The proposal of the carbon neutralization target in China further accelerates the promotion of the proportion of renewable energy, and the leap-type development of new energy makes the problem of new energy consumption more severe. The uncertainty of new energy power generation, the inverse peak regulation characteristic of wind power and the like all provide great challenges for the peak regulation capacity of the power grid. The peak regulation resource of the existing power system in China still takes thermal power as a main part, and in order to solve the problems of wind abandonment, light abandonment and the like, the thermal power generating units need to reduce the output of the thermal power generating units and even stop the thermal power generating units to absorb new energy power generation at the peak time of the new energy power generation. Because the thermal power generating unit participates in peak shaving to reduce the output of the unit, economic loss can be caused, and the construction of a novel power system provides new requirements for new energy installation and output, the traditional power system scheduling can hardly meet the peak shaving requirement of the future power system. After the peak shaving service is brought into the electric power auxiliary service market, the benefit loss caused by the output reduction of the unit participating in peak shaving can be compensated through new energy yield, and even the peak shaving income is additionally obtained. The peak regulation market encourages the unit to participate in peak regulation through marketization behaviors, so that the new energy consumption is promoted to achieve a win-win situation. The peak regulation main body generally comprises a pumped storage unit and a thermal power unit, and when the basic peak regulation service is used up and the new energy is expected to generate wind and light abandon, the new energy consumption space is further made by reducing the real-time output of the thermal power unit willing to provide the deep peak regulation service. However, in the peak shaving method, deep peak shaving is all borne by the thermal power generating unit, and the peak shaving pressure is large and the flexibility is lacked.
Disclosure of Invention
In order to overcome the problems of large peak regulation pressure and lack of flexibility of a thermal power generating unit caused by further giving up a new energy consumption space by reducing real-time output of the thermal power generating unit at least to a certain extent, the application provides a peak regulation method and device of a power system based on thermal power, a self-contained power plant and energy storage.
In a first aspect, the present application provides a method for peak shaving of a power system based on thermal power, a self-contained power plant and stored energy, comprising:
acquiring declaration data of power system peak regulation participants, wherein the power system peak regulation participants comprise an energy storage power plant, a self-prepared power plant and public thermal power;
establishing a peak-shaving market bidding clearing model by taking the lowest market peak-shaving cost as an objective function;
reporting data of a power system peak regulation participant is used as a model parameter;
and setting constraint conditions, and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain peak shaving clearing data of the power system.
Further, the peak shaving and clearing data includes peak shaving cost, marginal clearing price of a peak shaving market, winning peak shaving power in stored energy, winning peak shaving power in public thermal power plants and winning peak shaving power in self-contained power plants, and the peak shaving market bidding and clearing model established by using the lowest market peak shaving cost as an objective function includes:
the peak shaving market bidding clearing model is as follows:
Figure BDA0003226302800000021
wherein: cvPeak shaving cost; t isVIs the total number of peak shaving time periods; st' is the marginal clearing price of the peak shaving market at the time t; pi,t、Pj,t、Pk,tRespectively carrying out the peak-to-average power regulation on the ith energy storage plant, the jth public power plant and the kth self-contained power plant in the t period; at is the duration of one scheduling period.
Further, the constraint conditions include:
at least one of a peak shaver demand constraint, an energy storage related constraint, a utility thermal power related constraint, and a self-contained power plant related constraint.
Further, the peak shaver requirement constraint comprises:
Figure BDA0003226302800000022
wherein the content of the first and second substances,
Figure BDA0003226302800000023
is the winning bid amount in the period t, RtThe system peak shaver requirement for the period t.
Further, the energy storage related constraint includes:
energy storage power constraint:
Figure BDA0003226302800000031
wherein, Pi,tIn order to achieve the medium-winning power,
Figure BDA0003226302800000032
the upper limit of the charging power for the stored energy,
Figure BDA0003226302800000033
in order to declare the lower limit of the capacity,
Figure BDA0003226302800000034
in order to declare the upper limit of the capacity, delta t is the duration of a scheduling period;
and/or, charge-discharge constraints: the stored energy cannot be charged and discharged simultaneously;
and/or, service sustainability constraints:
Figure BDA0003226302800000035
wherein the content of the first and second substances,
Figure BDA0003226302800000036
to store the state of charge at the initial moment of the day,
Figure BDA0003226302800000037
to store the state of charge at the end of each day.
Further, the common thermal power related constraint comprises:
and (3) public thermal power constraint:
Figure BDA0003226302800000038
wherein alpha isjThe operating state of the thermal power generating unit j in the time period t is a binary variable of 0/1, when the binary variable is 0, the unit is in a shutdown state, and when the binary variable is 1, the unit is in a startup state;
Figure BDA0003226302800000039
respectively the maximum output and the minimum output of the unit j in the time period t;
and/or unit climbing restraint
Figure BDA00032263028000000310
Figure BDA00032263028000000311
Wherein the content of the first and second substances,
Figure BDA00032263028000000312
the maximum rate of ascent for unit j,
Figure BDA00032263028000000313
the maximum ramp down rate for unit j.
Further, the self-contained power plant related constraints include:
self-contained power plant power constraints:
Figure BDA00032263028000000314
wherein alpha iskThe operation state of the self-contained power plant k in the time period t is a binary variable of 0/1, wherein when the binary variable is 0, the self-contained power plant is in a shutdown state, and when the binary variable is 1, the self-contained power plant is in a startup state;
Figure BDA00032263028000000315
Figure BDA0003226302800000041
respectively representing the maximum output and the minimum output of the self-contained power plant k in a time period t;
and/or unit climbing restraint
Figure BDA0003226302800000042
Figure BDA0003226302800000043
Wherein the content of the first and second substances,
Figure BDA0003226302800000044
for the maximum rate of ascent of the self-contained power plant k,
Figure BDA0003226302800000045
the maximum down-hill climbing rate of the self-contained power plant k;
and/or, the grid safety constraint specifically comprises:
and (3) line power flow constraint:
Figure BDA0003226302800000046
wherein the content of the first and second substances,
Figure BDA0003226302800000047
for the limit of tidal current transmission of the line l, Gl-iGenerator output power transfer distribution factor, G, for line l for node where unit i is locatedl-mThe generator output power transfer distribution factor of the line l for the node where the tie line m is located, N is the node number of the system, Gl-nGenerator output power transfer distribution factor for node n to line l, Dn,tFor the bus load value of node n during time t,
Figure BDA0003226302800000048
respectively positive and reverse power flow relaxation variables of the line l;
and/or the presence of a gas in the gas,
and (3) section flow restraint:
Figure BDA0003226302800000049
wherein the content of the first and second substances,
Figure BDA00032263028000000410
respectively, the limit of tidal current transmission of section s, Gs-iTransfer distribution factor G of generator output power of section s for node pair where unit i is locateds-mFor the node pair in which the tie line m is located to be disconnectedGenerator output power transfer distribution factor of surface s, Gs-nThe distribution factor of the output power transfer of the generator is the node n to the section s,
Figure BDA00032263028000000411
respectively the positive and reverse tide relaxation variables of the section s.
Further, the method also comprises the following steps:
calculating peak regulation income, wherein the peak regulation income comprises at least one of energy storage income, public thermal power income and self-contained power plant income;
the energy storage benefit is
Figure BDA0003226302800000051
Wherein, FesDaily gain for peak shaving of stored energy, TdisTo store the period of discharge within the scheduling period,
Figure BDA0003226302800000052
for storing discharge power, ptFor scheduling the electricity prices in the period t, clossFor the cost of battery depletion, st' marginal clearing price for the Peak shaving market at time T, TVIs the total number of peak shaving time periods;
the public thermal power has the benefits of
Figure BDA0003226302800000053
Wherein, FTHRegulating peak daily gain for public thermal power;
the self-contained power plant has the benefits of
Figure BDA0003226302800000054
Wherein, FzbThe peak regulation daily gain of the self-contained power plant.
Further, the power system peak shaving participant declaration data includes:
the stored energy participates in peak regulation market declaration, self-contained power plant declaration and public thermal power declaration;
energy storage participating peak regulation market applicationThe reports include peak shaving quotes sesThe peak regulation capacity upper and lower limits:
Figure BDA0003226302800000055
maximum charge-discharge power:
Figure BDA0003226302800000056
charge-discharge efficiency:
Figure BDA0003226302800000057
self-contained power plant declaration includes: capacity grading, capacity each-grade upper and lower limits: upper and lower limit of mth gear capacity
Figure BDA0003226302800000058
Figure BDA0003226302800000059
Quotation in each file: the mth grade quoted price is szb,m；
The public thermal power declaration comprises the steps that the thermal power generating unit carries out graded declaration according to the maximum peak regulation capacity, and each grade is quoted: the mth grade quoted price is sTH,m。
In a second aspect, the present application provides a power system peak shaving device based on thermal power, a self-contained power plant and stored energy, comprising:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring reporting data of a power system peak regulation participant, and the power system peak regulation participant comprises an energy storage, a self-prepared power plant and public thermal power;
the establishing module is used for establishing a peak shaving market bidding clearing model by taking the lowest market peak shaving cost as an objective function;
the parameter determination module is used for taking reported data of the peak regulation participants of the power system as model parameters;
and the solving module is used for setting constraint conditions and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain the peak shaving clearing data of the power system.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
the method for adjusting the peak of the power system based on the thermal power plant, the self-contained power plant and the energy storage, provided by the embodiment of the invention, has the advantages that by acquiring data reported by peak adjusting participants of the power system, the power system peak regulation participator comprises an energy storage power plant, a self-prepared power plant and a public thermal power plant, establishes a peak regulation market bidding clearing model by taking the lowest market peak regulation cost as an objective function, the reported data of the power system peak regulation participator is taken as model parameters, constraint conditions are set, the peak regulation market bidding clearing model is solved based on the model parameters and the constraint conditions to obtain the peak regulation clearing data of the power system, public thermal power, self-contained power plants and independent energy storage jointly participate in the peak regulation market, the peak regulation pressure of the thermal power generating unit can be relieved by the aid of the self-contained power plants and the independent energy storage, wind and light abandoning caused by insufficient peak regulation capacity of the thermal power generating unit, short-term power generation capacity increase of new energy and the like is effectively avoided, and new energy consumption is promoted.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a peak shaving method for an electric power system based on thermal power, a self-contained power plant, and energy storage according to an embodiment of the present disclosure.
Fig. 2 is a flowchart of a peak shaving method for an electric power system based on thermal power, a self-contained power plant, and energy storage according to another embodiment of the present application.
Fig. 3 is a flowchart of a peak shaving and clearing method for an electric power system based on thermal power, a self-contained power plant, and energy storage according to an embodiment of the present application.
Fig. 4 is a functional block diagram of a peak shaving device of an electric power system based on thermal power, a self-contained power plant and energy storage according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a flowchart of a peak shaving method of an electric power system based on thermal power, a self-contained power plant and energy storage according to an embodiment of the present application, and as shown in fig. 1, the peak shaving method of the electric power system based on thermal power, a self-contained power plant and energy storage includes:
s11: acquiring declaration data of power system peak regulation participants, wherein the power system peak regulation participants comprise an energy storage power plant, a self-prepared power plant and public thermal power;
s12: establishing a peak-shaving market bidding clearing model by taking the lowest market peak-shaving cost as an objective function;
s13: reporting data of a power system peak regulation participant is used as a model parameter;
s14: and setting constraint conditions, and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain peak shaving clearing data of the power system.
The traditional power system peak regulation method further gives up a new energy consumption space by reducing the real-time output of thermal power generating units willing to provide deep peak regulation service. However, in the peak shaving method, deep peak shaving is all borne by the thermal power generating unit, and the peak shaving pressure is large and the flexibility is lacked.
In the embodiment, the report data of the power system peak regulation participants are obtained, the power system peak regulation participants comprise energy storage, self-supply power plants and public thermal power, a peak regulation market bidding clearing model is established by taking the lowest market peak regulation cost as an objective function, the report data of the power system peak regulation participants are taken as model parameters, constraint conditions are set, the peak regulation market bidding clearing model is solved based on the model parameters and the constraint conditions, the power system peak regulation clearing data are obtained, the public thermal power, the self-supply power plants and the independent energy storage participate in the peak regulation market together, the self-supply power plants and the independent energy storage participate in the peak regulation market, peak regulation pressure of the thermal power plants can be relieved, wind abandon caused by insufficient peak regulation capacity of the thermal power plants, ultra-short-term power generation capacity increase of new energy and the like is effectively avoided, and new energy absorption is promoted.
Fig. 2 is a flowchart of a peak shaving method for a power system based on thermal power, a self-contained power plant and stored energy according to another embodiment of the present application, and as shown in fig. 2, the peak shaving method for a power system based on thermal power, a self-contained power plant and stored energy includes:
s21: acquiring declaration data of power system peak regulation participants, wherein the power system peak regulation participants comprise an energy storage power plant, a self-prepared power plant and public thermal power;
in some embodiments, the power system peak shaver participant declaration data includes:
the energy storage participation peak regulation market needs declaration, self-contained power plant declaration and public thermal power declaration;
the energy storage participating peak regulation market needs to declare that the peak regulation quotation s is includedesThe peak regulation capacity upper and lower limits:
Figure BDA0003226302800000081
Figure BDA0003226302800000082
maximum charge-discharge power:
Figure BDA0003226302800000083
charge-discharge efficiency:
Figure BDA0003226302800000084
the self-contained power plant participates in the peak regulation market and adopts a step quotation mode and a price mechanism, the self-contained power plant performs graded declaration according to the maximum peak regulation capacity, and the graded quantity and the upper and lower limits of each grade are declared by the self-contained power plant. Self-contained power plant declaration includes: capacity grading, capacity each-grade upper and lower limits: upper and lower limit of mth gear capacity
Figure BDA0003226302800000085
Figure BDA0003226302800000086
Quotation in each file: the mth grade quoted price is szb,m；
The public thermal power participating peak regulation market adopts a stepped quotation mode and a price mechanism, the thermal power generating unit reports in different grades according to the maximum peak regulation capacity, 100% -70% of rated capacity is used as a grade, every 10% below 70% is used as a grade quotation, the grades are reported step by step according to a price increasing mode, and the quotation of each grade is the same all day. The public thermal power declaration comprises the steps that the thermal power generating unit carries out graded declaration according to the maximum peak regulation capacity, and each grade is quoted: the mth grade quoted price is sTH,m。
The public thermal power generating unit is used for illustration: the public thermal power unit quotes for each capacity space, for example, 40% -50% of the capacity section, the declared price is 100 yuan/MW, and 30% -40% of the capacity section, the declared price is 300 yuan/MW. At the time of discharge, the capacity segment and declared price for discharge need to be judged according to the current output, for example, when the current 1000MW unit outputs 500MW, the price of 400-. If its contribution is 400MW at this time, then its price is 300 yuan/MW. When the system is cleared, clearing is carried out from low to high according to the service price declared by the market main body so as to determine the winning bid capacity. And when the product is clear, other constraints such as market main body performance, power grid safety and the like need to be met.
It should be noted that the reporting forms of energy storage, self-contained power plants, and public thermal power participation peak shaving market include, but are not limited to, the forms of the report quotes provided above.
S22: establishing a peak-shaving market bidding clearing model according to the application data of the peak-shaving participators of the power system;
in some embodiments, the peak shaving and clearing data includes peak shaving cost, marginal clearing price of a peak shaving market, winning and peak shaving power in energy storage, winning and peak shaving power in public thermal power plants, and winning and peak shaving power in self-contained power plants, and the peak shaving market bidding and clearing model is established according to report data of power system peak shaving participants, which specifically includes:
the peak shaving market bidding clearing model is as follows:
Figure BDA0003226302800000091
wherein:Cvpeak shaving cost; t isVIs the total number of peak shaving time periods; st' is the marginal clearing price of the peak shaving market at the time t; pi,t、Pj,t、Pk,tRespectively carrying out the peak-to-average power regulation on the ith energy storage plant, the jth public power plant and the kth self-contained power plant in the t period; at is the duration of one scheduling period.
The objective function is to minimize the peak shaver total cost, and to minimize the production power consumption total cost when each manufacturer quotes based on the cost.
The winning machine group/energy storage facility/self-contained power plant will respond practically according to the winning peak load power: for example, for the next 15 minutes, the peak shaving demand is 100MW, and at this time, the output result is that the public thermal power unit wins 20MW, the energy storage device wins 40MW, and the self-contained power plant wins 40MW, so that at the beginning of the next 15 minutes, the public thermal power unit needs to reduce power according to the capacity of 20MW, the energy storage needs to be charged according to the capacity of 40MW, and the self-contained power plant needs to reduce power according to the capacity of 20 MW.
S23: and setting at least one constraint condition of peak shaving demand constraint, energy storage related constraint, public thermal power related constraint and self-contained power plant related constraint, and solving the peak shaving market bidding clearing model according to the constraint condition to obtain the peak shaving clearing data of the power system.
In some embodiments, the peak shaver requirement constraint comprises:
Figure BDA0003226302800000092
wherein the content of the first and second substances,
Figure BDA0003226302800000093
is the winning bid amount in the period t, RtThe system peak shaver requirement for the period t.
In some embodiments, the energy storage related constraints include:
energy storage power constraint:
Figure BDA0003226302800000101
wherein, Pi,tIn order to achieve the medium-winning power,
Figure BDA0003226302800000102
the upper limit of the charging power for the stored energy,
Figure BDA0003226302800000103
in order to declare the lower limit of the capacity,
Figure BDA0003226302800000104
in order to declare the upper limit of the capacity, delta t is the duration of a scheduling period; the constraint is that: the winning power in each energy storage period is required to be within the upper limit of the charging power, and the winning power is located within the ratio of the upper limit and the lower limit of the declared capacity to the duration of the scheduling period.
And/or, charge-discharge constraints: the stored energy cannot be charged and discharged simultaneously;
and/or, service sustainability constraints:
Figure BDA0003226302800000105
wherein the content of the first and second substances,
Figure BDA0003226302800000106
to store the state of charge at the initial moment of the day,
Figure BDA0003226302800000107
to store the state of charge at the end of each day. The constraint is to guarantee the sustainability of peak shaving service provided by the energy storage power station, and the SOC of the energy storage at the initial time and the end time of each day is considered to be the same in the real-time scheduling process.
In some embodiments, the utility thermal-related constraints include:
and (3) public thermal power constraint:
Figure BDA0003226302800000108
wherein alpha isjIs a thermal power generating unit j in timeThe operation state of the section t is a binary variable of 0/1, when the binary variable is 0, the unit is in a shutdown state, and when the binary variable is 1, the unit is in a startup state;
Figure BDA0003226302800000109
respectively the maximum output and the minimum output of the unit j in the time period t;
and/or unit climbing restraint
Figure BDA00032263028000001010
Figure BDA00032263028000001011
Wherein the content of the first and second substances,
Figure BDA00032263028000001012
the maximum rate of ascent for unit j,
Figure BDA00032263028000001013
the maximum ramp down rate for unit j.
In some embodiments, the self-contained power plant related constraints include:
self-contained power plant power constraints:
Figure BDA00032263028000001014
wherein alpha iskThe operation state of the self-contained power plant k in the time period t is a binary variable of 0/1, wherein when the binary variable is 0, the self-contained power plant is in a shutdown state, and when the binary variable is 1, the self-contained power plant is in a startup state;
Figure BDA0003226302800000111
Figure BDA0003226302800000112
respectively representing the maximum output and the minimum output of the self-contained power plant k in a time period t;
and/or unit climbing restraint
Figure BDA0003226302800000113
Figure BDA0003226302800000114
Wherein the content of the first and second substances,
Figure BDA0003226302800000115
for the maximum rate of ascent of the self-contained power plant k,
Figure BDA0003226302800000116
the maximum down-hill climbing rate of the self-contained power plant k;
and/or, the grid safety constraint specifically comprises:
and (3) line power flow constraint:
Figure BDA0003226302800000117
wherein the content of the first and second substances,
Figure BDA0003226302800000118
for the limit of tidal current transmission of the line l, Gl-iGenerator output power transfer distribution factor, G, for line l for node where unit i is locatedl-mThe generator output power transfer distribution factor of the line l for the node where the tie line m is located, N is the node number of the system, Gl-nGenerator output power transfer distribution factor for node n to line l, Dn,tFor the bus load value of node n during time t,
Figure BDA0003226302800000119
respectively positive and reverse power flow relaxation variables of the line l;
and/or the presence of a gas in the gas,
and (3) section flow restraint:
Figure BDA00032263028000001110
wherein the content of the first and second substances,
Figure BDA00032263028000001111
respectively, the limit of tidal current transmission of section s, Gs-iTransfer distribution factor G of generator output power of section s for node pair where unit i is locateds-mGenerator output power transfer distribution factor, G, for section s for node pair where tie line m is locateds-nThe distribution factor of the output power transfer of the generator is the node n to the section s,
Figure BDA00032263028000001112
respectively the positive and reverse tide relaxation variables of the section s.
S24: calculating peak regulation income, wherein the peak regulation income comprises at least one of energy storage income, public thermal power income and self-contained power plant income;
the energy storage benefit is
Figure BDA0003226302800000121
Wherein, FesDaily gain for peak shaving of stored energy, TdisTo store the period of discharge within the scheduling period,
Figure BDA0003226302800000122
for storing discharge power, ptFor scheduling the electricity prices in the period t, clossFor the cost of battery depletion, st' marginal clearing price for the Peak shaving market at time T, TVIs the total number of peak shaving time periods;
the public thermal power has the benefits of
Figure BDA0003226302800000123
Wherein, FTHRegulating peak daily gain for public thermal power;
the self-contained power plant has the benefits of
Figure BDA0003226302800000124
Wherein, FzbThe peak regulation daily gain of the self-contained power plant.
The income is calculated as the final closed loop in the whole operation of the peak shaving market, the complete peak shaving task of the power system is completed, and the peak shaving and clearing flow of the power system is shown in figure 3.
For example: assume that there is NesHousehold energy storage, NTHDomestic and public thermal power, NzbThe household power plant participates in the peak regulation market. In the real-time clearing model, clearing calculation is started 25 minutes before the peak regulation moment, and a clearing result is issued 15 minutes before. For example, 11: the clearing results of 00 are 10: 45, published in 10: 35 the calculation is started.
And when the peak-shaving market is clear, calculating according to the latest frequency modulation requirement. The closer the time of frequency modulation requirement updating is, the closer the latest real-time running state is, the closer the system total peak shaving cost is to the peak shaving cost of the corresponding time period. Meanwhile, due to the fact that clearing calculation is needed, the manufacturer is required to respond after the power generation plan/charge and discharge plan is obtained through calculation, and some time needs to be reserved, the calculation is started 25 minutes in advance, and the clearing result is issued 15 minutes in advance in the practical situation.
The photovoltaic power generation is characterized in that a power generation peak is reached in the middle of the day, the power load is small and low at 12 noon, and at the moment, in order to absorb the photovoltaic power generation, the output of a self-contained power plant and a thermal power generating unit is reduced according to the clear result of a peak regulation market, so that a new energy power generation space or stored energy is used as load charging to absorb the photovoltaic power generation amount. The clearing result is scheduling details such as which specific unit reduces power, which specific energy storage charging and which gear the unit adjusts power in the time period, and can be obtained by calculating the clearing result through a peak-shaving market bidding clearing model and constraint conditions.
In the embodiment, a clearing model with the minimum peak regulation cost as an optimization target when public thermal power, a self-contained power plant and independent energy storage jointly participate in a peak regulation market is established. The self-contained power plant and the independent energy storage unit are encouraged to participate in the peak regulation market through marketization behaviors, new energy consumption is promoted, and the phenomena of wind abandonment, light abandonment and the like caused by insufficient peak regulation capacity are avoided.
The embodiment of the invention provides a peak shaving device of a power system based on thermal power, a self-contained power plant and energy storage, as shown in a functional structure diagram of fig. 4, the data verification device of the input data of the power spot market comprises:
the acquisition module 41 is used for acquiring reporting data of power system peak regulation participants, wherein the power system peak regulation participants comprise an energy storage unit, a self-prepared power plant and public thermal power;
the establishing module 42 is used for establishing a peak shaving market bidding clearing model by taking the lowest market peak shaving cost as an objective function;
a parameter determination module 43, configured to use the declaration data of the peak shaving party of the power system as a model parameter;
and the solving module 44 is used for setting constraint conditions, and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain the peak shaving clearing data of the power system.
In the embodiment, the obtaining module is used for obtaining reporting data of a peak regulation party of the power system, the peak regulation party of the power system comprises energy storage, a self-contained power plant and public thermal power, the establishing module is used for establishing a peak regulation market bidding clearing model by taking the lowest market peak regulation cost as an objective function, the parameter determining module is used for taking the reporting data of the peak regulation party of the power system as model parameters, the solving module is used for setting constraint conditions, the peak regulation market bidding clearing model is solved based on the model parameters and the constraint conditions to obtain peak regulation clearing data of the power system, and the public thermal power plant, the self-contained power plant and the peak regulation market clearing model which is jointly participated in by the independent energy storage can relieve peak regulation pressure of the thermal power plant through the participation of the public thermal power plant and the independent energy storage, effectively avoid wind curtailment caused by insufficient peak regulation capacity of the thermal power plant and the like, and promote new energy absorption.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional component mode. The integrated module, if implemented in the form of a software functional component and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
It should be noted that the present invention is not limited to the above-mentioned preferred embodiments, and those skilled in the art can obtain other products in various forms without departing from the spirit of the present invention, but any changes in shape or structure can be made within the scope of the present invention with the same or similar technical solutions as those of the present invention.

Claims (10)

1. A peak shaving method of an electric power system based on thermal power, a self-contained power plant and energy storage is characterized by comprising the following steps:
acquiring declaration data of power system peak regulation participants, wherein the power system peak regulation participants comprise an energy storage power plant, a self-prepared power plant and public thermal power;
establishing a peak-shaving market bidding clearing model by taking the lowest market peak-shaving cost as an objective function;
reporting data of a power system peak regulation participant is used as a model parameter;
and setting constraint conditions, and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain peak shaving clearing data of the power system.
2. The thermal power, self-contained power plant and energy storage based power system peak shaving method according to claim 1, wherein the peak shaving data comprises peak shaving total cost, marginal price of peak shaving market, peak shaving power in energy storage, peak shaving power in public thermal power and peak shaving power in self-contained power plant, and the establishing of the peak shaving market bidding data model with the lowest market peak shaving cost as an objective function comprises:
the peak shaving market bidding clearing model is as follows:
Figure FDA0003226302790000011
wherein: cvPeak shaving cost; t isVIs the total number of peak shaving time periods; st' is the marginal clearing price of the peak shaving market at the time t; pi,t、Pj,t、Pk,tRespectively carrying out the peak-to-average power regulation on the ith energy storage plant, the jth public power plant and the kth self-contained power plant in the t period; at is the duration of one scheduling period.
3. The thermal power, self-contained power plant and energy storage based power system peak shaving method according to claim 1, wherein the constraint condition comprises:
at least one of a peak shaver demand constraint, an energy storage related constraint, a utility thermal power related constraint, and a self-contained power plant related constraint.
4. The thermal power, self-contained power plant and energy storage based power system peak shaving method according to claim 3, wherein the peak shaving demand constraint comprises:
Figure FDA0003226302790000012
wherein the content of the first and second substances,
Figure FDA0003226302790000013
is the winning bid amount in the period t, RtThe system peak shaver requirement for the period t.
5. The thermal power, self-contained power plant and energy storage based power system peak shaving method according to claim 3, wherein the energy storage related constraints comprise:
energy storage power constraint:
Figure FDA0003226302790000021
wherein, Pi,tIn order to achieve the medium-winning power,
Figure FDA0003226302790000022
the upper limit of the charging power for the stored energy,
Figure FDA0003226302790000023
in order to declare the lower limit of the capacity,
Figure FDA0003226302790000024
in order to declare the upper limit of the capacity, delta t is the duration of a scheduling period;
and/or, charge-discharge constraints: the stored energy cannot be charged and discharged simultaneously;
and/or, service sustainability constraints:
Figure FDA0003226302790000025
wherein the content of the first and second substances,
Figure FDA0003226302790000026
to store the state of charge at the initial moment of the day,
Figure FDA0003226302790000027
to store the state of charge at the end of each day.
6. The thermal-power, self-contained power plant and stored energy based power system peak shaving method of claim 3, wherein the utility thermal-power related constraints comprise:
and (3) public thermal power constraint:
Figure FDA0003226302790000028
wherein alpha isjThe operating state of the thermal power generating unit j in the time period t is a binary variable of 0/1, when the binary variable is 0, the unit is in a shutdown state, and when the binary variable is 1, the unit is in a startup state;
Figure FDA0003226302790000029
respectively the maximum output and the minimum output of the unit j in the time period t;
and/or unit climbing restraint
Figure FDA00032263027900000210
Figure FDA00032263027900000211
Wherein the content of the first and second substances,
Figure FDA00032263027900000212
the maximum rate of ascent for unit j,
Figure FDA00032263027900000213
the maximum ramp down rate for unit j.
7. The thermal power, self-contained power plant and stored energy based power system peak shaving method of claim 3, wherein the self-contained power plant related constraints comprise:
self-contained power plant power constraints:
Figure FDA0003226302790000031
wherein alpha iskThe operation state of the self-contained power plant k in the time period t is a binary variable of 0/1, wherein when the binary variable is 0, the self-contained power plant is in a shutdown state, and when the binary variable is 1, the self-contained power plant is in a startup state;
Figure FDA0003226302790000032
respectively representing the maximum output and the minimum output of the self-contained power plant k in a time period t;
and/or unit climbing restraint
Figure FDA0003226302790000033
Figure FDA0003226302790000034
Wherein the content of the first and second substances,
Figure FDA0003226302790000035
for the maximum rate of ascent of the self-contained power plant k,
Figure FDA0003226302790000036
the maximum down-hill climbing rate of the self-contained power plant k;
and/or, the grid safety constraint specifically comprises:
and (3) line power flow constraint:
Figure FDA0003226302790000037
wherein, Pl maxFor the limit of tidal current transmission of the line l, Gl-iGenerator output power transfer distribution factor, G, for line l for node where unit i is locatedl-mThe generator output power transfer distribution factor of the line l for the node where the tie line m is located, N is the node number of the system, Gl-nGenerator output power transfer distribution factor for node n to line l, Dn,tFor the bus load value of node n during time t,
Figure FDA0003226302790000038
Figure FDA0003226302790000039
respectively positive and reverse power flow relaxation variables of the line l;
and/or the presence of a gas in the gas,
and (3) section flow restraint:
Figure FDA00032263027900000310
wherein the content of the first and second substances,
Figure FDA00032263027900000311
respectively, the limit of tidal current transmission of section s, Gs-iTransfer distribution factor G of generator output power of section s for node pair where unit i is locateds-mGenerator output power transfer distribution factor, G, for section s for node pair where tie line m is locateds-nThe distribution factor of the output power transfer of the generator is the node n to the section s,
Figure FDA0003226302790000041
respectively the positive and reverse tide relaxation variables of the section s.
8. The thermal power, self-contained power plant and stored energy based power system peak shaving method of claim 1, further comprising:
calculating peak regulation income, wherein the peak regulation income comprises at least one of energy storage income, public thermal power income and self-contained power plant income;
the energy storage benefit is
Figure FDA0003226302790000042
Wherein, FesDaily gain for peak shaving of stored energy, TdisTo store the period of discharge within the scheduling period,
Figure FDA0003226302790000043
for storing discharge power, ptFor scheduling the electricity prices in the period t, clossFor the cost of battery depletion, st' marginal clearing price for the Peak shaving market at time T, TVIs the total number of peak shaving time periods;
the public thermal power has the benefits of
Figure FDA0003226302790000044
Wherein, FTHRegulating peak daily gain for public thermal power;
the self-contained power plant has the benefits of
Figure FDA0003226302790000045
Wherein, FzbThe peak regulation daily gain of the self-contained power plant.
9. The thermal power, self-contained power plant and energy storage based power system peak shaving method according to claim 1, wherein the power system peak shaving participant declares data comprising:
the stored energy participates in peak regulation market declaration, self-contained power plant declaration and public thermal power declaration;
the energy storage participating peak regulation market needs to declare that the peak regulation quotation s is includedesThe peak regulation capacity upper and lower limits:
Figure FDA0003226302790000046
Figure FDA0003226302790000047
maximum charge-discharge power:
Figure FDA0003226302790000048
charge-discharge efficiency:
Figure FDA0003226302790000049
self-contained power plant declaration includes: capacity grading, capacity each-grade upper and lower limits: upper and lower limit of mth gear capacity
Figure FDA00032263027900000410
Figure FDA00032263027900000411
Quotation in each file: the mth grade quoted price is szb,m；
The public thermal power declaration comprises the steps that the thermal power generating unit carries out graded declaration according to the maximum peak regulation capacity, and each grade is quoted: the mth grade quoted price is sTH,m。
10. The utility model provides a power system peak regulation device based on thermal power, self-contained power plant and energy storage which characterized in that includes:
the system comprises an acquisition module, a storage module and a control module, wherein the acquisition module is used for acquiring reporting data of a power system peak regulation participant, and the power system peak regulation participant comprises an energy storage, a self-prepared power plant and public thermal power;
the establishing module is used for establishing a peak shaving market bidding clearing model by taking the lowest market peak shaving cost as an objective function;
the parameter determination module is used for taking reported data of the peak regulation participants of the power system as model parameters;
and the solving module is used for setting constraint conditions and solving the peak shaving market bidding clearing model based on the model parameters and the constraint conditions to obtain the peak shaving clearing data of the power system.
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