CN111525603A - BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method - Google Patents

BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method Download PDF

Info

Publication number
CN111525603A
CN111525603A CN202010490723.XA CN202010490723A CN111525603A CN 111525603 A CN111525603 A CN 111525603A CN 202010490723 A CN202010490723 A CN 202010490723A CN 111525603 A CN111525603 A CN 111525603A
Authority
CN
China
Prior art keywords
bess
cost
frequency modulation
thermal power
energy storage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
CN202010490723.XA
Other languages
Chinese (zh)
Inventor
刘文霞
王静
李守强
刘宗歧
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China Electric Power University filed Critical North China Electric Power University
Priority to CN202010490723.XA priority Critical patent/CN111525603A/en
Publication of CN111525603A publication Critical patent/CN111525603A/en
Withdrawn legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/28Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06Energy or water supply
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/008Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/10Flexible AC transmission systems [FACTS]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70Smart grids as climate change mitigation technology in the energy generation sector
    • YGENERAL 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS 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
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Quality & Reliability (AREA)
  • Operations Research (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • Health & Medical Sciences (AREA)
  • Power Engineering (AREA)
  • Public Health (AREA)
  • Water Supply & Treatment (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a BESS (beam-assist system) -based thermal power generating unit frequency modulation and peak regulation optimization method, which comprises the following steps of: establishing a cost model of BESS auxiliary frequency modulation peak regulation based on a full life cycle theory; establishing a yield model of BESS auxiliary frequency modulation peak shaving, including establishing a BESS frequency modulation yield model considering unit loss reduction, a BESS peak shaving yield model considering investment delay and a BESS recovery yield model; constructing a dynamic investment recovery period, investment profitability and net present value evaluation index calculation model based on the cost model and the profit model and solving; and establishing a frequency modulation peak regulation optimal scheme of the thermal power generating unit based on the solving result. The BESS auxiliary frequency modulation peak shaving can improve the economic benefit of a thermal power plant, the yield of the BESS auxiliary frequency modulation peak shaving is fully mined by the BESS auxiliary-based thermal power plant frequency modulation peak shaving optimization method disclosed by the invention, the actual cost and the real value of the BESS auxiliary frequency modulation peak shaving are scientifically reflected, and a reference is provided for the operation strategy formulation of an auxiliary service market mechanism.

Description

BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method
Technical Field
The invention relates to the technical field of energy storage systems, in particular to a BESS (beam-assist system) -based thermal power generating unit frequency modulation and peak regulation optimization method.
Background
Under the dual pressure of energy crisis and environmental pollution, renewable energy represented by wind power and photovoltaic is rapidly developed, the power generation uncertainty brings a plurality of challenges to the operation of a power grid, the frequency modulation and peak shaving problems are particularly prominent, and in order to improve the flexibility of power supply side adjustment, the nation adopts the measures of building peak shaving power supplies such as gas and water power, developing flexibility modification of coal-fired units, building energy storage systems and the like; due to the rapid development of large-scale battery energy storage technology and the excellent regulation performance of energy storage, the attention is paid to more and more relieving the frequency modulation and peak regulation pressure of a power grid through an energy storage system, however, the benefit of an energy storage investor cannot be guaranteed due to the imperfect market mechanism and the high price of energy storage, and the further popularization of energy storage is hindered; the direct and indirect benefits of the auxiliary frequency modulation and peak regulation service of the energy storage system are scientifically calculated, the adjustment of future market mechanisms is facilitated, and the method has important significance for promoting the application of energy storage technology.
The method is influenced by the policies of rapid development of new energy and guaranteed consumption, the power generation space of the conventional thermal power generating unit is limited, the power generation function is gradually changed into the frequency modulation and peak shaving function, and the method becomes an important income mode for providing auxiliary service. At present, many achievements are obtained for the research of economic benefit evaluation of a Battery Energy Storage System (BESS) auxiliary frequency modulation and peak regulation auxiliary service on a power generation side, and most of research scenes are that energy storage is configured on a new energy power plant side or a thermal power plant side to realize combined regulation; the energy storage is configured in the new energy power plant, and the permeability of renewable energy can be effectively improved and the economic benefit of the new energy power plant can be improved by providing high-quality auxiliary services such as frequency modulation and peak shaving; the energy storage is configured in a thermal power plant and is mainly used for assisting thermal power depth peak regulation and Automatic Generation Control (AGC) frequency modulation, not only can the benefit be obtained by participating in the auxiliary service market, but also the effects of overhigh coal consumption, serious equipment abrasion, investment construction delay and the like of the unit power generation can be relieved, but due to the fact that the benefit indexes are difficult to calculate, the indirect benefit of the battery energy storage auxiliary service on the power generation side cannot be clearly quantized, the benefit distribution basis is insufficient, and the economic benefit of the BESS auxiliary frequency modulation peak regulation auxiliary service cannot be accurately evaluated.
Disclosure of Invention
Aiming at the problems, the method for optimizing the frequency modulation and peak regulation of the thermal power generating unit based on the BESS assistance solves the problems that the indirect benefit of the battery energy storage auxiliary service at the power generation side cannot be quantized, so that the income distribution basis is insufficient, and the economic benefit of the BESS auxiliary frequency modulation and peak regulation auxiliary service cannot be accurately evaluated.
The technical scheme adopted by the invention is as follows: a thermal power generating unit frequency modulation peak regulation optimization method based on BESS assistance comprises the following steps:
s1: establishing a cost model of BESS auxiliary frequency modulation peak regulation based on a full life cycle theory;
s2: establishing a yield model of BESS auxiliary frequency modulation peak shaving, including establishing a BESS frequency modulation yield model considering unit loss reduction, a BESS peak shaving yield model considering investment delay and a BESS recovery yield model;
s3: constructing a dynamic investment recovery period, investment profitability and net present value evaluation index calculation model based on the cost model and the profit model and solving;
s4: and establishing a frequency modulation peak regulation optimal scheme of the thermal power generating unit based on the solving result.
Preferably, the step S1 of establishing the cost model of the BESS-assisted frequency modulation peak shaving specifically includes establishing an investment cost model, an operation and maintenance cost model, a fault loss cost model, and a decommissioning disposal cost model.
Preferably, the total yield of the BESS-assisted frequency modulation peak shaving in the step S2 is obtained by the following formula:
R=Rf+Rp+Rrecyde(6)
in the formula, R is the total income of the BESS configured in the thermal power plant; rfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rpProviding peak shaving assistance service gross revenue for the BESS; rrecyleRevenue was recovered for the BESS.
Preferably, the establishing of the BESS frequency modulation revenue model considering the unit loss reduction specifically includes:
Rf=Rf1+Rf2+Rf3+Rf4(7)
in the formula, RfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rf1Compensating for direct profit for the frequency-modulated mileage; rf2Indirect gains for equivalently reducing unit loss cost; rf3Indirect gains for equivalently reducing the cost of fuel for system power generation; rf4Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system;
1) the direct gain of frequency modulation mileage compensation is obtained by the following formula:
Figure BDA0002520875000000021
wherein R isf1Compensating for direct profit for the frequency-modulated mileage; dtThe actual adjustment depth of the execution day of the frequency modulation unit is the frequency modulation mileage; kApThe specific calculation method of the comprehensive frequency modulation performance index of the frequency modulation unit on the execution day still uses the regulation of two detailed rules, which is equal to the product of three subentries of the regulation rate, the regulation precision and the response time; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; lambda [ alpha ]1The price is settled for the mileage; t is the configured energy storage period of the thermal power plant;
2) the indirect benefit of equivalently reducing the unit loss cost is obtained by the following formula:
Figure BDA0002520875000000022
wherein R isf2Indirect gains for equivalently reducing unit loss cost; rthermalThe annual average running income of the thermal power generating unit is obtained; delta A is the prolonged operation life of the configured energy storage unit; r is the discount rate; m is the service life of the thermal power generating unit;
3) the indirect benefit of equivalently reducing the cost of fuel for power generation of the system is given by the following equation:
Figure BDA0002520875000000031
wherein R isf3Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; etDischarging the electric quantity for the frequency modulation stored in the t day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel;
4) the indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system is obtained by the following formula:
Figure BDA0002520875000000032
wherein R isf4Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; etAnd discharging the electricity quantity for the frequency modulation stored in the t day.
Preferably, the establishing of the BESS peak shaving income model considering investment delay is specifically:
Rp=Rp1+Rp2+Rp3+Rp4+Rp5(15)
in the formula, RpProviding peak shaving assistance service gross revenue for the BESS; rp1Compensating for the annual BESS peak shaving price for direct revenue; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; rp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; rp4Indirect gains for equivalently reducing the cost of fuel for system power generation; rp5Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system;
1) the BESS peak shaver price compensation direct gain is obtained by the following formula:
Figure BDA0002520875000000033
wherein R isp1Compensating for the annual BESS peak shaving price for direct revenue; eiPeak-shaving discharge electric quantity for energy storage in the ith day; e is the contract price of electricity of the power plant; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year;
2) the equivalent delay thermal power installation cost indirect benefit is obtained through the following formula:
Figure BDA0002520875000000034
wherein R isp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; t is thermal power annual running time; pthermalInstallation cost per unit volume; q is the ratio of the basic peak regulation capacity of the thermal power to the maximum output; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; r is the discount rate; m is the service life of the thermal power generating unit;
3) the maintenance cost indirect benefit of the equivalent thermal power generating unit is obtained by the following formula:
Rp3=λ2Rp2(18)
wherein R isp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; lambda [ alpha ]2Is a coefficient; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed;
4) the indirect benefit of equivalently reducing the cost of fuel for power generation of the system is given by the following equation:
Figure BDA0002520875000000041
wherein R isp4Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel;
5) the indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system is obtained by the following formula:
Figure BDA0002520875000000042
wherein R isp5Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; eiAnd discharging the electric quantity for peak shaving of the stored energy in the ith day.
Preferably, the establishing of the BESS revenue recovery model specifically includes:
Figure BDA0002520875000000043
in the formula, RrecyleRecovering revenue for the BESS; rmetaliFor the price of metal i, the element, the subscript represents the chemical symbol of the metal; rhometaliThe content of metal i in the energy storage battery per unit weight is percent; sratedCapacity of BESS, MW · h;energu_ienergy weight ratio of an energy storage system, kW.h/t; r is the discount rate; n is a radical ofyThe life cycle is full, year; n is the total number of permutations.
Preferably, the constructing of the dynamic investment recovery period index calculation model specifically includes:
Figure BDA0002520875000000044
in the formula, TPA dynamic investment recovery period; (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
Preferably, the constructing of the investment profitability index calculation model specifically comprises:
Figure BDA0002520875000000045
in the formula, RinvThe return on investment is calculated; k is the total investment of the project, i.e. the life-cycle cost Clcc;NBThe average net annual benefit in the life cycle of the system, namely the average value of the total energy storage benefit in the whole life cycle.
Preferably, the average value of the total energy storage yield in the whole life cycle is obtained by the following formula:
Figure BDA0002520875000000051
in the formula, NBThe average value of the total energy storage income in the whole life cycle; n is a radical ofyThe life cycle is full, year; r (i) is the total yield of the i year of BESS assisted frequency modulation peak shaving.
Preferably, the constructing of the net present value evaluation index calculation model specifically includes:
Figure BDA0002520875000000052
wherein V is the net present value; n is a radical ofyThe life cycle is full, year; (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
The beneficial effects of the technical scheme are as follows:
(1) the method solves the problems that indirect benefits of the battery energy storage auxiliary service at the power generation side cannot be quantized, so that the income distribution basis is insufficient, and the economic benefits of the BESS auxiliary frequency modulation and peak shaving auxiliary service cannot be accurately evaluated.
(2) The invention aims at the life cycle cost model of the BESS, adds a fault loss cost model and a retirement disposal cost model on the basis of an investment cost model and an operation cost model, and perfects the life cycle cost of the BESS.
(3) Aiming at the problems that the configured energy storage of a thermal power plant can play the roles of relieving overhigh coal consumption and serious equipment abrasion of the generating unit and delaying investment construction, but because the benefit indexes are difficult to calculate and can not be quantified definitely, the invention establishes an indirect profit model of BESS assisting the thermal power plant in frequency modulation to delay the service life of the generating unit and an energy storage peak shaving profit model considering investment delay.
(4) According to the invention, a BESS full-life cycle cost model and an energy storage profit model for calculating indirect profits such as reducing unit abrasion and delaying investment are adopted, so that profits are fully mined, the actual cost and the real value of energy storage auxiliary frequency modulation peak shaving are scientifically reflected, and a reference is provided for the operation strategy formulation of an auxiliary service market mechanism.
Drawings
FIG. 1 is a flow chart of a method for optimizing the frequency modulation and peak shaving of a thermal power generating unit based on BESS assistance according to the present invention;
FIG. 2 is an indirect profit R for equivalently reducing unit loss cost according to the present inventionf2The calculation idea diagram of (1);
FIG. 3 is a schematic diagram of a power plant side energy storage system access method in an exemplary analysis;
FIG. 4 is a graph of life cycle cost and revenue variation for scenario one and scenario two in an exemplary analysis;
FIG. 5 is a graph of the specific variation of the four types of costs in the BESS full life cycle cost in an exemplary analysis;
FIG. 6 is a diagram of the change of dynamic payback period indicators under scenario one and scenario two in an example analysis;
FIG. 7 is a graph of the change in profitability index for investment under scenario one and scenario two in an exemplary analysis;
FIG. 8 is a graph of the net present value indicator for scenario one and scenario two in an exemplary analysis.
Detailed Description
The embodiments of the present invention will be described in further detail with reference to the drawings and examples. The following detailed description of the embodiments and the accompanying drawings are provided to illustrate the principles of the invention and are not intended to limit the scope of the invention, which is defined by the claims, i.e., the invention is not limited to the preferred embodiments described.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
As shown in fig. 1, the invention provides a thermal power generating unit frequency modulation peak shaving optimization method based on BESS assistance, which includes the following steps:
s1: and establishing a cost model of BESS auxiliary frequency modulation peak regulation based on a full life cycle theory.
The full Life Cycle Cost (LCC) refers to all costs, direct, indirect, derived or non-derived, that occur or may occur throughout the life cycle of the system, as defined in the international electrotechnical commission IEC603003-3 standard; the BESS life cycle cost model comprises an investment cost model, an operation and maintenance cost model, a fault loss cost model and a retirement disposal cost model; BESS life cycle cost model ClccComprises the following steps:
Clcc=Cinv+Com+CF+Cd(1)
in the formula, CinvThe investment cost; comFor operating maintenance costs; cFCost is lost for failure; cdFor retirement disposal costs.
(1) Investment cost model
The investment costs of the BESS typically include initial investment costs and replacement investment costs; the initial investment cost refers to fixed capital invested at one time in the initial stage of energy storage engineering construction; replacement investment cost refers to the capital expended to replace battery energy storage devices during energy storage operations; investment cost C of BESS in the whole life cycleinvObtained by the following formula:
Figure BDA0002520875000000071
in the formula, CinvThe investment cost; cpBESS unit power cost, ten thousand yuan/MW; pratedConfiguring power, MW, for BESS rating; csThe BESS unit capacity cost is ten thousand yuan/MW & h; sratedCapacity of BESS, MW · h; r is the discount rate; n is a radical ofyThe life cycle is full, year; k is the replacement frequency of the battery energy storage equipment; n is the total number of substitutions (N +1 times of total energy storage), N is Ny/NlifeIn which N islifeAnd obtaining the equivalent cycle life of the stored energy based on an equivalent conversion of a rain flow counting method.
(2) Operation maintenance cost model
The operation and maintenance cost refers to the fund dynamically invested for ensuring the normal operation of the stored energy within the service life, and generally comprises a fixed part determined by the energy storage converter PCS and a variable part determined by the charging and discharging electric quantity of the stored energy; the operational maintenance cost of the BESS over the life cycle is given by the following formula:
Figure BDA0002520875000000072
in the formula, ComFor operating maintenance costs; cpomThe unit power operation and maintenance cost is ten thousand yuan/MW; pratedConfiguring power, MW, for BESS rating; r is the discount rate; n is a radical ofyThe life cycle is full, year; t is the configured energy storage period of the thermal power plant; csomThe unit capacity operation and maintenance cost is ten thousand yuan/MW & h; w (t) is the annual charge-discharge capacity of energy storage, MW & h.
(3) Cost model for failure loss
The fault loss cost is the loss cost generated after the energy storage equipment fails, and comprises two parts, namely fault processing cost and power failure loss cost; wherein the failure processing cost is the cost spent by the owner department in rush repair according to the maintenance rules after the BESS fails to eliminate the failure, and the failure is processed intoThe average annual fault number is ×, the average fault processing cost is, the power failure loss cost is the power loss of BESS caused by the fault shutdown period, the power failure loss cost is BESS annual average charge and discharge power × annual average power failure duration × average auxiliary service market power price, the annual average power failure duration is × annual average fault number, the annual average fault number is N, the average fault processing cost is DFAnd the average repair time is 0.033, 600 yuan and 12h respectively; the failure loss cost is obtained by the following formula:
Figure BDA0002520875000000073
in the formula, CFCost is lost for failure; n is a radical ofyThe life cycle is full, year; n is the annual average failure frequency of the energy storage equipment; dFAverage failure handling cost; w (i) is the energy storage charge-discharge capacity in the ith year, MW & h; t isoffThe average annual power failure duration of the energy storage equipment is h; e (i) the auxiliary service market electricity price for the year of the ith year.
(4) Decommissioning disposal cost model
The decommissioning disposal cost is the cost generated by harmless treatment and recovery of the scrapped battery energy storage equipment in the whole life cycle; the lithium iron phosphate battery used in the invention does not contain heavy metal elements Pb, Cd, Hg and the like which cause high environmental pollution of the traditional battery, so the corresponding environment harmless treatment cost is slightly low, and the specific model is as follows:
Figure BDA0002520875000000081
in the formula, CdA cost for retirement disposition; cpdIs the retirement disposal cost per unit power, ten thousand yuan/MW; pratedConfiguring power, MW, for BESS rating; r is the discount rate; n is a radical ofyThe life cycle is full, year; n is the total replacement times (n +1 times of energy storage in total); j is the replacement frequency of the battery energy storage equipment; csdIs the retirement disposal cost per unit capacity, ten thousand yuan/MW & h; sratedCapacity of BESS, MW · h.
S2: and establishing a yield model of the BESS auxiliary frequency modulation peak shaving.
The yield model of the BESS auxiliary frequency modulation peak shaving comprises a BESS frequency modulation yield model considering unit loss reduction, a BESS peak shaving yield model considering investment delay and a BESS recovery yield model; the total gain of BESS-assisted frequency modulation peak shaving is obtained by the following formula:
R=Rf+Rp+Rrecyde(6)
in the formula, R is the total yield of BESS auxiliary frequency modulation peak regulation; rfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rpProviding peak shaving assistance service gross revenue for the BESS; rrecyleRevenue was recovered for the BESS.
(1) BESS frequency modulation profit model considering unit loss reduction
The BESS auxiliary frequency modulation benefits comprise direct benefits and indirect benefits; the total yield of the BESS auxiliary thermal power generating unit for providing the frequency modulation auxiliary service is as follows:
Rf=Rf1+Rf2+Rf3+Rf4(7)
in the formula, RfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rf1Compensating for direct profit for the frequency-modulated mileage; rf2Indirect gains for equivalently reducing unit loss cost; rf3Indirect gains for equivalently reducing the cost of fuel for system power generation; rf4The indirect benefit of reducing the cost of generating and discharging the sewage of the system is realized.
1) Direct gain of frequency modulated mileage compensation
The direct gain of frequency modulation market compensation is divided into frequency modulation mileage compensation gain and AGC capacity compensation gain, all power generation units providing qualified AGC service can obtain corresponding AGC capacity compensation cost, after BESS is increased, the influence on the AGC capacity compensation cost is small, the frequency modulation gain increment is mainly reflected on the frequency modulation mileage compensation cost, and the gain model analysis is carried out only by considering the frequency modulation mileage compensation cost.
The calculation method of 'two detailed rules' is still used, the frequency modulation mileage compensation is determined by the frequency modulation mileage, the frequency modulation performance index and the mileage settlement price, and the model specifically comprises the following steps:
Figure BDA0002520875000000091
in the formula, Rf1Compensating for direct profit for the frequency-modulated mileage; dtThe actual adjustment depth of the execution day of the frequency modulation unit is the frequency modulation mileage; kApThe specific calculation method of the comprehensive frequency modulation performance index of the frequency modulation unit on the execution day still uses the regulation of two detailed rules, which is equal to the product of three subentries of the regulation rate, the regulation precision and the response time; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; lambda [ alpha ]1The price is settled for the mileage; and t is the configured energy storage period of the thermal power plant.
2) Indirect revenue equivalent to reducing unit loss cost
The energy storage is matched with the frequency modulation of the thermal power generating unit, so that the fatigue loss of core components such as a steam turbine rotor and the like caused by continuous variable load operation of the unit can be reduced, and the service life of the unit is prolonged; and taking the income of the unit in the delay period as the indirect income of BESS equivalent loss cost reduction of the unit.
The rotor life calculation of the steam turbine carries out low-cycle fatigue life loss calculation according to the delta-N low-cycle fatigue characteristic relation of a rotor material, and then the extended operation period of the unit configuration stored energy is obtained through the life loss, so that the income obtained by the power plant in the extended period is quantized, namely the indirect income of the unit loss cost is equivalently reduced, and the indirect income of the unit loss cost is equivalently reduced through the following formula:
Figure BDA0002520875000000092
in the formula, Rf2Indirect gains for equivalently reducing unit loss cost; rthermalThe annual average running income of the thermal power generating unit is obtained; delta A is the prolonged operation life of the configured energy storage unit; r is the discount rate; and M is the service life of the thermal power generating unit.
Indirect profit R for equivalently reducing unit loss costf2The computing concept of (2) is shown in fig. 2.
Delta A is the extended operation age of the configured energy storage unit, and is obtained by the difference value of the operation ages of the thermal power unit before and after the configuration of the energy storage unit, namely the difference value of the operation age of the configured energy storage unit and the operation age of the non-configured energy storage unit; the estimated operation age A of the unit is obtained through the following formula:
A=(1-Df)·A1·Df -1(10)
in the formula, A is the estimated operation life of the unit; dfLow cycle fatigue loss; a. the1The year of operation;
the relation between the low cycle fatigue loss and the cycle number of the rotor cracking cycle is as follows:
Df=1/(2Nt) (11)
in the formula, DfLow cycle fatigue loss; n is a radical oftCarrying out cracking cycle of the rotor;
the rotor cracking cycle frequency is determined through a Manson-coffee formula, the Manson-coffee formula describes the relation between the total strain amplitude and the rotor cracking cycle frequency, and the function relation is as follows:
Figure BDA0002520875000000101
wherein, the total strain amplitude is shown in the formula;fthe fatigue strength coefficient; b is fatigue strength index;fthe fatigue ductility coefficient; c is fatigue ductility index; e is the modulus of elasticity; n is a radical oftCarrying out cracking cycle of the rotor;
and (4) calculating the thermal stress and centrifugal tangential stress of the rotor when the corresponding unit outputs the force by adopting finite element calculation software ANSYS to obtain the total strain amplitude of the rotor.
3) Indirect revenue equivalent to reducing system power generation fuel costs
The method is characterized in that a BESS is configured in a thermal power plant to assist the thermal power unit in frequency modulation, the frequency modulation output of the thermal power unit can be reduced, and therefore the fuel cost required by corresponding generated energy is reduced, so that the method is equivalent to indirect benefit of reducing the fuel cost of system power generation, and the calculation formula is as follows:
Figure BDA0002520875000000102
in the formula, Rf3Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; etDischarging the electric quantity for the frequency modulation stored in the t day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel.
4) Indirect benefit for equivalently reducing system power generation pollution discharge cost
The BESS is configured in the thermal power plant to assist the thermal power unit in frequency modulation and reduce the frequency modulation output of the thermal power unit, so that the greenhouse gas emission reduction benefit is realized, the greenhouse gas emission reduction benefit is equivalent to an indirect benefit of reducing the system power generation and pollution discharge cost, and the calculation formula is as follows:
Figure BDA0002520875000000103
in the formula, Rf4Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; etAnd discharging the electricity quantity for the frequency modulation stored in the t day.
(2) BESS peak-load gain model considering delayed investment
BESS assisted peak shaving benefits include direct benefits and indirect benefits; the total revenue of the BESS providing peak shaving assistance service is:
Rp=Rp1+Rp2+Rp3+Rp4+Rp5(15)
in the formula, RpProviding peak shaving assistance service gross revenue for the BESS; rp1Compensating for the annual BESS peak shaving price for direct revenue; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; rp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; rp4Indirect gains for equivalently reducing the cost of fuel for system power generation; rp5The indirect benefit of reducing the cost of generating and discharging the sewage of the system is realized.
1) BESS peak shaving price compensation direct gain
In the direct profit of BESS peak shaving price compensation, according to the stipulation of 'notice about promoting electric energy storage to participate in' three north 'area peak shaving auxiliary service work' issued by the State energy agency 2016: the energy storage facility is built at a power generation end, the energy storage and the unit jointly participate in peak shaving or participate in the market transaction of the peak shaving auxiliary service as an independent main body, the discharge electric quantity is settled according to the related contract electricity price of the power plant, and the compensation income is obtained through the following formula:
Figure BDA0002520875000000111
in the formula, Rp1Compensating for the annual BESS peak shaving price for direct revenue; eiPeak-shaving discharge electric quantity for energy storage in the ith day; e is the contract price of electricity of the power plant; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year.
2) Equivalent delay of indirect profit of thermal power installation cost
The energy storage is matched with the peak regulation of the thermal power generating unit, so that the investment delay of equipment and facilities of the conventional unit can be realized; considering the capital time value, taking the capacity installation cost of the thermal power generating unit reduced by the peak shaving generating capacity of the energy storage substitution unit as the indirect benefit of equivalently delaying the thermal power installation cost, wherein the calculation formula is as follows:
Figure BDA0002520875000000112
in the formula, Rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; t is thermal power annual running time; pthermalInstallation cost per unit volume; q is the ratio of the basic peak regulation capacity of the thermal power to the maximum output; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; r is the discount rate; and M is the service life of the thermal power generating unit.
3) Indirect gain of maintenance cost of equivalent thermal power generating unit
The energy storage cooperation thermal power generating unit peak regulation except reducing the indirect income of thermal power generating unit capacity installation cost, has reduced the thermal power generating unit maintenance cost simultaneously to this cost, so with its equivalence for the indirect income of thermal power generating unit maintenance cost, its computational formula is:
Rp3=λ2Rp2(18)
in the formula, Rp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; lambda [ alpha ]2Is a coefficient; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed.
4) Indirect revenue equivalent to reducing system power generation fuel costs
The thermal power plant is provided with the BESS to assist the thermal power unit in peak regulation, so that the frequency modulation output of the thermal power unit can be reduced, the fuel cost required by corresponding generated energy is reduced, the method is equivalent to indirect benefit of reducing the fuel cost of system power generation, and the calculation formula is as follows:
Figure BDA0002520875000000121
in the formula, Rp4Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel.
5) Indirect benefit for equivalently reducing system power generation pollution discharge cost
The method is characterized in that the thermal power plant is provided with the BESS to assist the thermal power unit in peak regulation to reduce the frequency modulation output of the thermal power unit, so that the greenhouse gas emission reduction benefit is realized, the greenhouse gas emission reduction benefit is equivalent to an indirect benefit of reducing the system power generation and pollution discharge cost, and the calculation formula is as follows:
Figure BDA0002520875000000122
in the formula, Rp5Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; eiFor storing energyPeak shaver charge on day i.
(3) BESS recovery yield
The recovery yield is the yield obtained after useful substances are separated from the waste and processed into reusable products; after the operation life of the energy stored in the lithium iron phosphate battery is finished, the lithium iron phosphate battery can obtain compounds of metals such as cobalt, lithium and the like from the waste lithium ion battery at a high recovery rate for recycling, so that a BESS recovery yield model is established as follows:
Figure BDA0002520875000000123
in the formula, RrecyleRecovering revenue for the BESS; rmetaliFor the price of metal i, the element, the subscript represents the chemical symbol of the metal; rhometaliThe content of metal i in the energy storage battery per unit weight is percent; sratedCapacity of BESS, MW · h;energu_ienergy weight ratio of an energy storage system, kW.h/t; r is the discount rate; n is a radical ofyThe life cycle is full, year; n is the total number of permutations.
S3: and constructing and solving a dynamic investment recovery period, investment profitability and net present value evaluation index model based on the cost model and the profit model.
And considering the capital time value, selecting economic evaluation indexes of the dynamic investment recovery period, the investment earning rate and the net present value, constructing an economic benefit evaluation index model of the BESS auxiliary frequency modulation peak shaving, and scientifically and effectively evaluating the economic benefit of the energy storage equipment configured in the thermal power plant.
(1) Dynamic recovery period of investment
The dynamic investment recovery period can be calculated by means of a project investment cash flow meter, the point of time when the accumulated net cash flow in the project investment cash flow meter is changed from a negative value to zero is the dynamic investment recovery period, and the dynamic investment recovery period is calculated by the following formula:
Figure BDA0002520875000000131
in the formula, TPFor dynamic investmentA recovery period; cIAllocating an energy storage annual income R for the cash inflow, namely the thermal power plant; cOCalculating the cash outflow, namely the sum of the equal-year-value investment cost, the annual operation and maintenance cost, the annual fault loss cost and the equal-year-value retirement disposal cost according to a formula (23); (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
Figure BDA0002520875000000132
Wherein, COCash out amount; cinvThe investment cost; cpomThe unit power operation and maintenance cost is ten thousand yuan/MW; pratedConfiguring power, MW, for BESS rating; cdA cost for retirement disposition; r is the discount rate; n is a radical ofyThe life cycle is full, year; csomThe unit capacity operation and maintenance cost is ten thousand yuan/MW & h; w (t) is energy storage annual charge and discharge capacity, MW & h; n is the annual average failure frequency of the energy storage equipment; dFAverage failure handling cost; t isoffThe average annual power failure duration of the energy storage equipment is h; e (t) is the annual average auxiliary service market electricity price of the t year.
(2) Rate of return on investment
The investment profitability is also an important index for reflecting the profitability of the investment project, and the higher the investment profitability is, the better the profitability of the project is; the return on investment may be calculated as the ratio of the average net annual return over the entire life of the system to the total investment, the return on investment being calculated by the following equation:
Figure BDA0002520875000000133
in the formula, RinvThe return on investment is calculated; k is the total investment of the project, i.e. the life-cycle cost Clcc;NBThe average net annual gain in the life cycle of the system, namely the average value of the total energy storage gain in the whole life cycle, is obtained by the following formula:
Figure BDA0002520875000000134
wherein N isBThe average value of the total energy storage income in the whole life cycle; n is a radical ofyThe life cycle is full, year; r (i) is the total yield of the i year of BESS assisted frequency modulation peak shaving.
(3) Net present value
The net present value is the difference between the present value of the total income of the investment project and the present value of the total expenditure thereof, and reflects the profit condition of the project under the condition of considering the capital time value; the power plant calculates the net present value of BESS: if the net present value is larger than zero, an energy storage system can be built; if the net present value is less than zero, the project is generally considered not worth investment construction; if the net present value is zero, the actual condition needs to be specifically analyzed; when different equipment or project schemes to be selected are evaluated, the best one with the largest net present value is obtained, and the calculation formula is as follows:
Figure BDA0002520875000000141
wherein V is the net present value; n is a radical ofyThe life cycle is full, year; (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
And solving the dynamic investment recovery period, the investment profitability and the net present value evaluation index calculation formula by adopting MATLAB software programming.
S4: and establishing a frequency modulation peak regulation optimal scheme of the thermal power generating unit based on the solving result.
Example 2
This example is an example analysis:
(1) basic parameters of arithmetic example
The invention takes a certain 300MW thermal power generating unit power plant combined 100MW/100MW & h battery energy storage system auxiliary frequency modulation and peak regulation service market as a test example, sets a capacity ratio and scheduling strategy of BESS auxiliary frequency modulation and peak regulation based on historical operation data of the power plant, and the access mode of a power plant side energy storage system is shown as a figure 3.
The full life cycle cost and income model constructed according to the method divides the calculation into two scenes, wherein the scene one does not take into account the indirect income of unit loss reduction and power plant investment delay; and scenario two accounts for the revenue. And selecting a lithium iron phosphate battery energy storage system as an example to analyze and calculate the economic benefit. The parameters of the battery energy storage system and the conventional generator set refer to the table 1.
TABLE 1 Battery energy storage System and conventional Generator set parameters
Figure BDA0002520875000000142
Figure BDA0002520875000000151
(2) Cost and profit calculation
Based on the information, the frequency modulation and peak regulation proportion of the BESS auxiliary thermal power generating unit is changed, the cost and the benefit of the scene one and the scene two are respectively calculated, and the life cycle cost and the benefit change of the scene one and the scene two are drawn according to the cost and the benefit change as shown in FIG. 4.
As can be seen from fig. 4, the BESS cost is the same in both scenarios, and as the duty ratio of the BESS fm capacity increases, the life cycle cost increases first, reaches a maximum of 4.9568 billion yuan at 80%, and then decreases. When the frequency modulation ratio is increased from 0 to 80%, the frequency modulation charging and discharging electric quantity provided by the energy storage is increased, the frequency modulation operation cost and the fault loss cost related to the energy storage charging and discharging electric quantity are increased, the increase amplitude of the frequency modulation operation cost and the fault loss cost is faster than the reduction speed of the corresponding peak regulation cost, and therefore the cost of the whole life cycle shows an increasing trend along with the increase of the frequency modulation ratio; when the frequency modulation percentage is increased to 80%, the cost reaches a maximum value of 4.9568 billion yuan; the output of the energy storage peak is reduced along with the increase of the duty ratio of the frequency modulation, the peak-shaving operation maintenance cost and the fault loss cost are reduced, and the total life cycle cost shows a descending trend; with various cost variations as shown in detail in figure 5.
As can be seen from fig. 4, the variation trend of the total revenue of the BESS under the two scenes is consistent, and the variation trend is gradually increased to reach the maximum value at 60% along with the increase of the duty ratio of the frequency modulation capacity of the BESS, wherein the first scene is 4.8331 hundred million yuan, the second scene is 6.1171 hundred million yuan, and then the maximum value is reachedUnder the condition that the frequency modulation peak regulation demand of the power plant is given, the frequency modulation demand is larger than the peak regulation demand, when the BESS frequency modulation ratio is controlled to be increased from 0 to 60 percent, the BESS assists the frequency modulation peak regulation together, and the average charge-discharge electricity quantity in the BESS year is increased from 7.82 × 10 which only assists the peak regulation at first along with the increase of the BESS frequency modulation ratio3MW · h increase to 1.39 × 10 for common auxiliary FM peak shaving4MW & h is about 1.78 times of the original MW & h, so that direct and indirect benefits of the frequency modulation auxiliary service determined by the electric quantity are remarkably improved, and the total benefit is remarkably increased; when the BESS frequency modulation proportion is increased from 60% to 100%, the output of the BESS auxiliary peak shaving assistance is gradually reduced to zero, the income is earned only through the auxiliary frequency modulation, the peak shaving income is limited, and the annual average charge and discharge electricity quantity is only 50.05% of the optimal value, so that the total income of frequency modulation peak shaving is rapidly reduced along with the reduction of the BESS output.
As a result, the cost is 4.9568 billion yuan at the maximum when the proportion is 80%; the gain is the greatest at a ratio of 60%, with scene one being 4.8331 billion dollars and scene two being 6.1171 billion dollars. In addition, the income of the second scenario is higher than the corresponding cost within the range of 50% -60%, and the profit advantage is achieved.
(3) Economic benefit evaluation and analysis
Calculating the dynamic investment recovery period evaluation index, the investment profitability evaluation index and the net present value evaluation index of the scene one and the scene two according to the obtained data of the total cost and the total income, wherein the obtained calculation results are shown in tables 2 and 3; the calculation results of the three types of evaluation indexes are plotted as fig. 6 to 8, and the variation trend thereof is analyzed.
Table 2 scenario-calculation results of each economic evaluation index
Figure BDA0002520875000000161
TABLE 3 calculation results of economic evaluation indexes of scene two
Figure BDA0002520875000000162
As can be seen from FIG. 6, the dynamic payback period TpRatio of frequency modulationThe change is shown by a decreasing and then increasing trend, T being 60% when the ratio ispThe minimum value is obtained, and the value of the scene two is smaller than that of the scene one, so that the economic benefit is better; when the BESS frequency modulation proportion is increased from 0 to 60 percent, the increment of the profit is obviously larger than the cost, the time for recovering the system investment of the thermal power plant is shortened, and TpReduction, indicating that the investment recovery capacity of the project is enhanced; conversely, if the ratio is greater than 60%, the cost increase is greater than the profit, TpThe increase of the investment recovery capability is weakened, and the T of the second scene income is higher than that of the first scene incomepThe index is close to the industry benchmark investment recovery period of 12 years when the BESS frequency modulation accounts for 50 percent and 60 percent, and the profit can be realized in the energy storage life cycle.
As can be seen from FIG. 7, the return on investment RinvThe change of the frequency modulation ratio shows the trend of increasing firstly and then decreasing, and when the ratio is 60 percent, RinvThe maximum value is obtained, and the value of the scene two is greater than that of the scene one, so that the economic benefit is better; when the proportion is increased from 0 to 60 percent, the increment of the profit is obviously larger than the increment of the cost, RinvThe profitability of the project is improved; conversely, if the ratio is greater than 60%, the cost increase is greater than the yield, RinvReduced, profitability of the project diminished, and its R since scene two revenue was higher than scene oneinvThe index is better than scene one.
As can be seen from fig. 8, the net present value V shows a trend of increasing and then decreasing with the change of the modulation frequency ratio, and when the ratio is 60%, the maximum value is obtained, and compared with the first scene, the value of the second scene is larger, and when the ratio tends to 50% -60%, V is larger than zero, which indicates that the modulation frequency ratio of the second scene BESS is 50% and 60% from the viewpoint of the V index, which has an investment value; when the BESS frequency modulation proportion is increased from 0 to 60 percent, the income is gradually increased, the increase amplitude of the income is superior to the cost, so the value of V is increased, but the income in the first scene is lower than the cost, so the V is a negative value, the proportion of the second scene is 50 percent, the income is higher than the cost in the 60 percent, and the V is positive, which indicates that the project has the profitability; on the contrary, when the proportion is more than 60%, the cost is increased more than the profit, V is reduced, and the profitability of the project is reduced.
In summary, when the frequency modulation ratio of the BESS is 60%, the three types of indexes are optimal, and compared with the industry benchmark profit indexes, the profit capacities of most of the investment energy storage projects are mostly insufficient, but if the operation strategy is optimized according to the market mechanism, the profit can be improved, and the profit capacity is basically close to the benchmark. And with the progress of energy storage technology, project profit space is gradually increased.
According to the invention, a BESS full-life cycle cost model and an energy storage profit model which takes account of indirect profits such as reducing unit abrasion and delaying investment are adopted, so that profits are fully mined, the actual cost and the real value of energy storage auxiliary frequency modulation peak shaving are scientifically reflected, and a reference is provided for the operation strategy formulation of an auxiliary service market mechanism; the problem of at present, indirect benefits of the battery energy storage auxiliary service on the power generation side cannot be quantized, so that the income distribution basis is insufficient, and the economic benefits of the BESS auxiliary frequency modulation and peak shaving auxiliary service cannot be accurately evaluated is solved.
Aiming at a life cycle cost model of the BESS, a fault loss cost model and a retirement disposal cost model are added on the basis of an investment cost model and an operation cost model, so that the life cycle cost of the BESS is improved; aiming at the problems that the configured energy storage of a thermal power plant can play the roles of relieving overhigh coal consumption and serious equipment abrasion of the generating unit and delaying investment construction, but because the benefit indexes are difficult to calculate and can not be quantified definitely, the invention establishes an indirect profit model of BESS assisting the thermal power plant in frequency modulation to delay the service life of the generating unit and an energy storage peak shaving profit model considering investment delay.
While the invention has been described with reference to a preferred embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the technical features mentioned in the embodiments can be combined in any way as long as there is no structural conflict. It is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (10)

1. A thermal power generating unit frequency modulation peak regulation optimization method based on BESS assistance is characterized by comprising the following steps:
s1: establishing a cost model of BESS auxiliary frequency modulation peak regulation based on a full life cycle theory;
s2: establishing a yield model of BESS auxiliary frequency modulation peak shaving, including establishing a BESS frequency modulation yield model considering unit loss reduction, a BESS peak shaving yield model considering investment delay and a BESS recovery yield model;
s3: constructing a dynamic investment recovery period, investment profitability and net present value evaluation index calculation model based on the cost model and the profit model and solving;
s4: and establishing a frequency modulation peak regulation optimal scheme of the thermal power generating unit based on the solving result.
2. The optimization method according to claim 1, wherein the cost model established in step S1 is specifically an investment cost model, an operation and maintenance cost model, a fault loss cost model and a retirement disposition cost model.
3. The optimization method according to claim 1, wherein the total yield of the BESS-assisted frequency modulation peak shaving in the step S2 is obtained by the following formula:
R=Rf+Rp+Rrecyde(6)
in the formula, R is the total income of the BESS configured in the thermal power plant; rfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rpProviding peak shaving assistance service gross revenue for the BESS; rrecyleRevenue was recovered for the BESS.
4. The optimization method according to claim 1, wherein the establishing of the BESS frequency modulation revenue model considering the unit loss reduction specifically comprises:
Rf=Rf1+Rf2+Rf3+Rf4(7)
in the formula, RfProviding a frequency modulation auxiliary service total income for a BESS auxiliary thermal power generating unit; rf1Compensating for direct profit for the frequency-modulated mileage; rf2Is equal toIndirect benefit of loss cost of the unit is effectively reduced; rf3Indirect gains for equivalently reducing the cost of fuel for system power generation; rf4Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system;
1) the direct gain of frequency modulation mileage compensation is obtained by the following formula:
Figure FDA0002520874990000011
wherein R isf1Compensating for direct profit for the frequency-modulated mileage; dtThe actual adjustment depth of the execution day of the frequency modulation unit is the frequency modulation mileage; kApThe specific calculation method of the comprehensive frequency modulation performance index of the frequency modulation unit on the execution day still uses the regulation of two detailed rules, which is equal to the product of three subentries of the regulation rate, the regulation precision and the response time; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; lambda [ alpha ]1The price is settled for the mileage; t is the configured energy storage period of the thermal power plant;
2) the indirect benefit of equivalently reducing the unit loss cost is obtained by the following formula:
Figure FDA0002520874990000021
wherein R isf2Indirect gains for equivalently reducing unit loss cost; rthermalThe annual average running income of the thermal power generating unit is obtained; delta A is the prolonged operation life of the configured energy storage unit; r is the discount rate; m is the service life of the thermal power generating unit;
3) the indirect benefit of equivalently reducing the cost of fuel for power generation of the system is given by the following equation:
Figure FDA0002520874990000022
wherein R isf3Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; etDischarging the electric quantity for the frequency modulation stored in the t day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel;
4) the indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system is obtained by the following formula:
Figure FDA0002520874990000023
wherein R isf4Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system; n is a radical offThe number of days of energy storage and frequency modulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; etAnd discharging the electricity quantity for the frequency modulation stored in the t day.
5. The optimization method according to claim 1, wherein the establishing of the BESS peak shaving income model taking into account the deferred investment is specifically:
Rp=Rp1+Rp2+Rp3+Rp4+Rp5(15)
in the formula, RpProviding peak shaving assistance service gross revenue for the BESS; rp1Compensating for the annual BESS peak shaving price for direct revenue; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; rp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; rp4Indirect gains for equivalently reducing the cost of fuel for system power generation; rp5Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system;
1) the BESS peak shaver price compensation direct gain is obtained by the following formula:
Figure FDA0002520874990000024
wherein R isp1Compensating for the annual BESS peak shaving price for direct revenue; eiPeak-shaving discharge electric quantity for energy storage in the ith day; e is the contract price of electricity of the power plant; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year;
2) the equivalent delay thermal power installation cost indirect benefit is obtained through the following formula:
Figure FDA0002520874990000031
wherein R isp2The indirect benefit of the cost of the thermal power installation is equivalently delayed; t is thermal power annual running time; pthermalInstallation cost per unit volume; q is the ratio of the basic peak regulation capacity of the thermal power to the maximum output; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; r is the discount rate; m is the service life of the thermal power generating unit;
3) the maintenance cost indirect benefit of the equivalent thermal power generating unit is obtained by the following formula:
Rp3=λ2Rp2(18)
wherein R isp3The maintenance cost indirect income is equivalent to that of the thermal power generating unit; lambda [ alpha ]2Is a coefficient; rp2The indirect benefit of the cost of the thermal power installation is equivalently delayed;
4) the indirect benefit of equivalently reducing the cost of fuel for power generation of the system is given by the following equation:
Figure FDA0002520874990000032
wherein R isp4Indirect gains for equivalently reducing the cost of fuel for system power generation; n is a radical ofpThe number of days of energy storage and peak regulation operation in one year; eiPeak-shaving discharge electric quantity for energy storage in the ith day; wfuelThe fuel quantity required by unit generating capacity; cfuelIs the unit price of the fuel;
5) the indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system is obtained by the following formula:
Figure FDA0002520874990000033
wherein R isp5Indirect benefit for equivalently reducing the power generation and pollution discharge cost of the system;Npthe number of days of energy storage and peak regulation operation in one year; cNOx,CSO2,CCO2The pollution discharge cost of nitrogen oxide, sulfur dioxide and carbon dioxide required by each unit of generated energy is respectively; eiAnd discharging the electric quantity for peak shaving of the stored energy in the ith day.
6. The optimization method according to claim 1, wherein the establishing of the BESS recovery yield model specifically comprises:
Figure FDA0002520874990000034
in the formula, RrecyleRecovering revenue for the BESS; rmetaliFor the price of metal i, the element, the subscript represents the chemical symbol of the metal; rhometaliThe content of metal i in the energy storage battery per unit weight is percent; sratedCapacity of BESS, MW · h;energu_ienergy weight ratio of an energy storage system, kW.h/t; r is the discount rate; n is a radical ofyThe life cycle is full, year; n is the total number of permutations.
7. The optimization method according to claim 1, wherein the constructing of the dynamic investment recovery period index calculation model specifically comprises:
Figure FDA0002520874990000041
in the formula, TPA dynamic investment recovery period; (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
8. The optimization method according to claim 1, wherein the constructing of the investment profitability index calculation model specifically comprises:
Figure FDA0002520874990000042
in the formula, RinvThe return on investment is calculated; k is the total investment of the project, i.e. the life-cycle cost Clcc;NBThe average net annual benefit in the life cycle of the system, namely the average value of the total energy storage benefit in the whole life cycle.
9. The optimization method according to claim 8, wherein the average value of the total energy storage yield in the whole life cycle is obtained by the following formula:
Figure FDA0002520874990000043
in the formula, NBThe average value of the total energy storage income in the whole life cycle; n is a radical ofyThe life cycle is full, year; r (i) is the total yield of the i year of BESS assisted frequency modulation peak shaving.
10. The optimization method according to claim 1, wherein the constructing of the net present value evaluation index calculation model specifically comprises:
Figure FDA0002520874990000044
wherein V is the net present value; n is a radical ofyThe life cycle is full, year; (C)I-CO)tNet cash flow for year t; r is a reference yield (co-current rate).
CN202010490723.XA 2020-06-02 2020-06-02 BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method Withdrawn CN111525603A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010490723.XA CN111525603A (en) 2020-06-02 2020-06-02 BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010490723.XA CN111525603A (en) 2020-06-02 2020-06-02 BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method

Publications (1)

Publication Number Publication Date
CN111525603A true CN111525603A (en) 2020-08-11

Family

ID=71909438

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010490723.XA Withdrawn CN111525603A (en) 2020-06-02 2020-06-02 BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method

Country Status (1)

Country Link
CN (1) CN111525603A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112952918A (en) * 2021-03-23 2021-06-11 国网山西省电力公司 Electric power peak regulation and frequency modulation combined clearing method based on marginal benefit
CN113011101A (en) * 2021-03-29 2021-06-22 广东电网有限责任公司电力调度控制中心 Control method and system for energy storage participating in frequency modulation auxiliary service optimization
CN113780742A (en) * 2021-08-13 2021-12-10 华电山东能源销售有限公司 Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment
CN113780742B (en) * 2021-08-13 2024-06-07 华电山东能源销售有限公司 Method for calculating flexibility transformation economy of generator set in auxiliary service market environment

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109872088A (en) * 2019-03-27 2019-06-11 万克能源科技有限公司 A method of stored energy capacitance and power programming for thermal power plant's auxiliary frequency modulation
CN110414744A (en) * 2019-08-07 2019-11-05 东北电力大学 The hierarchy optimization method of ferric phosphate lithium cell energy-storage system auxiliary fired power generating unit depth peak regulation

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109872088A (en) * 2019-03-27 2019-06-11 万克能源科技有限公司 A method of stored energy capacitance and power programming for thermal power plant's auxiliary frequency modulation
CN110414744A (en) * 2019-08-07 2019-11-05 东北电力大学 The hierarchy optimization method of ferric phosphate lithium cell energy-storage system auxiliary fired power generating unit depth peak regulation

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王静等: "计及机组降损收益的电源侧电池储能调频/调峰经济效益评价方法", 《电网技术》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112952918A (en) * 2021-03-23 2021-06-11 国网山西省电力公司 Electric power peak regulation and frequency modulation combined clearing method based on marginal benefit
CN112952918B (en) * 2021-03-23 2023-04-14 国网山西省电力公司 Electric power peak regulation and frequency modulation combined clearing method based on marginal benefit
CN113011101A (en) * 2021-03-29 2021-06-22 广东电网有限责任公司电力调度控制中心 Control method and system for energy storage participating in frequency modulation auxiliary service optimization
CN113011101B (en) * 2021-03-29 2024-01-23 广东电网有限责任公司电力调度控制中心 Control method and system for energy storage to participate in frequency modulation auxiliary service optimization
CN113780742A (en) * 2021-08-13 2021-12-10 华电山东能源销售有限公司 Computing method for flexibility improvement economy of power generation unit in auxiliary service market environment
CN113780742B (en) * 2021-08-13 2024-06-07 华电山东能源销售有限公司 Method for calculating flexibility transformation economy of generator set in auxiliary service market environment

Similar Documents

Publication Publication Date Title
Cohen et al. Optimizing post-combustion CO2 capture in response to volatile electricity prices
Zhang et al. The evolving policy regime for pumped storage hydroelectricity in China: A key support for low-carbon energy
CN111541272B (en) Multi-time scale scheduling method and system for carbon capture power plant
Cohen et al. Comparing post-combustion CO2 capture operation at retrofitted coal-fired power plants in the Texas and Great Britain electric grids
CN106844916A (en) A kind of generating and electricity consumption method for organizing and device based on peak regulation assisted hatching
CN104123596B (en) A kind of electricity optimization planing method for considering regenerative resource
CN103390904B (en) Regenerative resource is generated electricity by way of merging two or more grid systems analytical method
CN111525603A (en) BESS (beam-off service) -assisted thermal power generating unit frequency modulation and peak regulation optimization method
CN107145973A (en) Hydroenergy storage station capacity Method for optimized planning based on principal component analysis
CN113205273B (en) Low-carbonization power supply planning method and system considering off-site energy transaction
CN103956773A (en) Standby configuration optimization method adopting wind power system unit
Zhang et al. Implications of the development and evolution of global wind power industry for China—An empirical analysis is based on public policy
CN114820046A (en) Regional power grid hybrid energy storage auxiliary frequency modulation economic optimization and compensation pricing method
Mallapragada et al. Electricity pricing problems in future renewables-dominant power systems
CN112398176B (en) Day-ahead optimized scheduling method of water-fire-wind mutual aid system considering start-stop peak regulation of coal-fired unit
Alharbi et al. Optimal scheduling of battery energy storage system performing stacked services
CN115392709A (en) Multi-energy park planning method, system, computer equipment and storage medium
CN115204944A (en) Energy storage optimal peak-to-valley price difference measuring and calculating method and device considering whole life cycle
Wu et al. An efficient decomposition method for bilevel energy storage arbitrage problem
CN111061990B (en) Two-part electricity price optimization method for special power transmission project facing to electric power spot market
Liu et al. Economic Evaluation of BESS on the Generation Side for Frequency and Peak Regulation Considering the Benefits of Unit Loss Reduction
Liu et al. Economic evaluation of battery energy storage system on the generation side for frequency and peak regulation considering the benefits of unit loss reduction
Shang et al. Grid-Side Energy Storage System Day-Ahead Bidding Strategy Based on Two-Level Decision in Spot Market
CN110738393A (en) Method and system for evaluating power generation benefits of natural gas of comprehensive energy systems
CN116307935B (en) Pumped storage value evaluation method and system for operation simulation of electric power system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
WW01 Invention patent application withdrawn after publication

Application publication date: 20200811

WW01 Invention patent application withdrawn after publication