CN114069613B - Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics - Google Patents
Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics Download PDFInfo
- Publication number
- CN114069613B CN114069613B CN202111293562.6A CN202111293562A CN114069613B CN 114069613 B CN114069613 B CN 114069613B CN 202111293562 A CN202111293562 A CN 202111293562A CN 114069613 B CN114069613 B CN 114069613B
- Authority
- CN
- China
- Prior art keywords
- self
- power plant
- peak shaving
- contained power
- unit
- 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.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 73
- 238000005265 energy consumption Methods 0.000 title claims abstract description 23
- 230000001105 regulatory effect Effects 0.000 title claims description 8
- 230000001276 controlling effect Effects 0.000 title claims description 4
- 230000033228 biological regulation Effects 0.000 claims abstract description 39
- 230000008878 coupling Effects 0.000 claims abstract description 23
- 238000010168 coupling process Methods 0.000 claims abstract description 23
- 238000005859 coupling reaction Methods 0.000 claims abstract description 23
- 238000004519 manufacturing process Methods 0.000 claims abstract description 11
- 238000010248 power generation Methods 0.000 claims description 26
- 238000009826 distribution Methods 0.000 claims description 13
- 238000004364 calculation method Methods 0.000 claims description 11
- 238000012546 transfer Methods 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 8
- 238000000605 extraction Methods 0.000 claims description 7
- 230000009194 climbing Effects 0.000 claims description 6
- 238000002347 injection Methods 0.000 claims description 6
- 239000007924 injection Substances 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims description 5
- 238000005096 rolling process Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000001174 ascending effect Effects 0.000 claims description 2
- 230000002222 downregulating effect Effects 0.000 claims description 2
- 230000006870 function Effects 0.000 claims description 2
- 238000012886 linear function Methods 0.000 claims description 2
- 238000005457 optimization Methods 0.000 claims description 2
- 230000003827 upregulation Effects 0.000 claims description 2
- 230000003828 downregulation Effects 0.000 claims 1
- 230000005611 electricity Effects 0.000 description 7
- 230000004048 modification Effects 0.000 description 3
- 238000012986 modification Methods 0.000 description 3
- 230000001737 promoting effect Effects 0.000 description 3
- 238000003491 array Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000019800 disodium phosphate Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000004984 smart glass Substances 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- 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
-
- 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
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load 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
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- 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
- H02J2310/62—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
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
-
- 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
Abstract
The invention provides a regulation and control method and a regulation and control system for participating in peak shaving of a self-contained power plant based on enterprise energy consumption, which are used for increasing thermal load demand constraint and thermoelectric coupling constraint and constructing a peak shaving auxiliary service market clearing model; acquiring the next-day production requirement and energy consumption characteristics of a self-contained power plant; and carrying out frequency modulation clearing according to the peak shaving auxiliary service market clearing model, carrying out peak shaving and unit planning unified clearing according to the bidding principle, and obtaining the daily peak shaving bid amount of the self-contained power plant. By considering the enterprise energy consumption characteristics when the self-contained power plant participates in the peak regulation auxiliary service market, the self-contained power plant can participate in the auxiliary service market on the premise of meeting the energy consumption requirements of enterprises such as heat supply, steam supply and the like, and the normal production process of the enterprises is not influenced. Meanwhile, under the method provided by the disclosure, the self-contained power plant can participate in power system dispatching fairly, publicly and equitably, and new energy consumption is promoted.
Description
Technical Field
The disclosure relates to the technical field of power regulation and control, in particular to a regulation and control method and a system for participating in peak shaving of a self-contained power plant based on enterprise energy.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
In recent years, new energy is rapidly developed worldwide, and the proportion of grid-connected power generation is continuously increased. The high-proportion new energy is accessed into the power grid, so that the energy conservation and emission reduction benefits are realized, and meanwhile, great challenges are brought to the operation scheduling of the power grid due to the fluctuation and uncertainty of the new energy. How to enhance scheduling flexibility to promote new energy consumption is a problem to be solved in the operation of the power system. As the construction of the electric power spot market of each country is gradually matured, development of auxiliary service market to promote new energy consumption level becomes a new research and practice hotspot.
A self-contained power plant refers to a power plant which is invested and built by enterprises to meet the self-heat and electricity requirements. Under the condition of meeting certain technical requirements, the power plant can perform residual electricity surfing. Because of large capacity and strong regulating capability, the thermoelectric unit becomes an increasingly important power grid flexible regulating resource, and various ways and methods for eliminating new energy sources in self-contained power plants are widely researched. In the construction of the auxiliary service market, the self-contained power plant bears peak shaving obligations, and the self-contained power plant is taken as a main body of the peak shaving market and is also known in the industry.
The operation of the self-contained power plant is closely related to the production and energy consumption characteristics of enterprises, and is limited by diversified self-loads, differentiated catalogue electricity prices, grid connection modes and the like. The peak regulation scheme adopted by the power dispatching department at present only enables the dispatching scheme not to adapt to the reasonable distribution of the power consumption and the residual power surfing of the self-contained power plant from the aspect of power consumption, and cannot mobilize the enthusiasm of the self-contained power plant to participate in peak regulation, such as documents [7] Huang Yifan, zhang Haijing, wang Lei and the like.
Disclosure of Invention
In order to solve the problems, the method and the system for regulating the participation peak of the self-contained power plant based on the enterprise energy are provided, and the self-contained power plant can participate in the auxiliary service market on the premise of meeting the energy requirements of the enterprise such as heat supply, steam supply and the like by considering the enterprise energy characteristics when the self-contained power plant participates in the peak regulating auxiliary service market, so that the normal production process of the enterprise is not influenced. Meanwhile, under the method provided by the disclosure, the self-contained power plant can participate in power system dispatching fairly, publicly and equitably, and new energy consumption is promoted.
In order to achieve the above purpose, the present disclosure adopts the following technical scheme:
one or more embodiments provide a method for regulating and controlling participation peak shaving of a self-contained power plant based on enterprise energy consumption characteristics, comprising the following steps:
determining a schedulable range of the cogeneration unit based on the simplified thermoelectric coupling relation of the cogeneration unit of the self-contained power plant;
increasing the heat load demand constraint and the thermoelectric coupling constraint, and constructing a peak shaving auxiliary service market clearing model;
acquiring a next-day power generation plan curve of an enterprise to which the self-contained power plant belongs;
in the day-ahead market, the operation prediction data of the next-day power grid and the quotation of a power generation main body are obtained, frequency modulation clearing is carried out according to the schedulable range and the next-day power generation plan curve of the self-contained power plant, frequency modulation clearing is carried out according to a peak regulation auxiliary service market clearing model, peak regulation and unit plan unified clearing is carried out according to a bidding principle, and the day-ahead peak regulation and winning bid amount of the self-contained power plant is obtained.
One or more embodiments provide a self-contained power plant participation peak shaving regulation system based on enterprise energy usage characteristics, comprising:
thermoelectric coupling relation simplification module: is configured to determine a schedulable range of the cogeneration unit based on the simplified thermoelectric coupling relationship of the cogeneration unit of the self-contained power plant;
and (3) a clearing model construction module: the system is configured for increasing the thermal load demand constraint and the thermocouple constraint, and constructing a peak shaving auxiliary service market clearing model;
the acquisition module is used for: configured to obtain a next-day power generation plan curve for an enterprise to which the self-contained power plant belongs;
the first clearing module: and the system is configured to acquire the operation prediction data of the next-day power grid and the quotation of the power generation main body in the market in the day, perform frequency modulation clearing according to the schedulable range and the next-day power generation plan curve of the self-contained power plant, perform peak shaving and unit plan unified clearing according to the bidding principle, and obtain the daily peak shaving and winning bid amount of the self-contained power plant.
There is also provided an electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the above method.
Compared with the prior art, the beneficial effects of the present disclosure are:
the method takes the principle of 'electricity utilization by heat determination' of a cogeneration unit of the self-contained power plant and the energy utilization characteristics of the enterprise into consideration, so that the power generation characteristics of the self-contained power plant can be reflected more comprehensively; the constructed clearing model increases the heat load demand constraint and the thermoelectric coupling constraint, so that the self-contained power plant can participate in peak regulation on the premise of meeting the heat and steam supply demands of enterprises, and the normal production process of the enterprises is not influenced; meanwhile, the method can stimulate the self-contained power plant to actively participate in peak shaving transaction, and has definite practical value and practical significance for promoting new energy consumption.
Additional aspects of the disclosure will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the disclosure.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the exemplary embodiments of the disclosure and together with the description serve to explain and do not limit the disclosure.
FIG. 1 is a flow chart of a method of embodiment 1 of the present disclosure;
fig. 2 is a simplified thermoelectric coupling relationship diagram of embodiment 1 of the present disclosure.
The specific embodiment is as follows:
the disclosure is further described below with reference to the drawings and examples.
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments in accordance with the present disclosure. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof. It should be noted that, without conflict, the various embodiments and features of the embodiments in the present disclosure may be combined with each other. The embodiments will be described in detail below with reference to the accompanying drawings.
Example 1
In the technical scheme disclosed in one or more embodiments, as shown in fig. 1-2, a regulation and control method for participating in peak shaving of a self-contained power plant based on enterprise energy consumption characteristics comprises the following steps:
step 1, determining a schedulable range of a cogeneration unit based on a simplified thermoelectric coupling relation of the cogeneration unit of the self-contained power plant;
step 2, increasing thermal load demand constraint and thermoelectric coupling constraint, and constructing a peak shaving auxiliary service market clearing model;
step 3, acquiring a next-day power generation plan curve of an enterprise to which the self-contained power plant belongs;
and 4, acquiring operation prediction data of a next-day power grid and quotations of a power generation main body in a day-ahead market, performing frequency modulation clearing according to a schedulable range and a next-day power generation plan curve of the self-contained power plant, performing peak shaving and unit plan unified clearing according to a bidding principle, and obtaining the day-ahead peak shaving and winning bid amount of the self-contained power plant.
Further, the method further comprises the following steps:
step 5, in the daily market, rolling out and clearing out the paid peak shaving transaction of the auxiliary service market in a set time period in the future according to the peak shaving auxiliary service market clearing model;
further, the method further comprises the following steps:
and step 6, completing pre-settlement according to the daily clearing result, carrying out final clearing settlement after temporarily calling peak regulation information maintenance, obtaining peak regulation electric quantity provided by the self-contained power plant, and determining peak regulation compensation quantity.
The method takes the principle of 'electricity utilization by heat determination' of a cogeneration unit of the self-contained power plant and the energy utilization characteristics of the enterprise into consideration, so that the power generation characteristics of the self-contained power plant can be reflected more comprehensively; the method can enable the self-contained power plant to participate in peak shaving on the premise of meeting the heat and steam supply requirements of enterprises, and does not influence the normal production process of the enterprises; meanwhile, the method can stimulate the self-contained power plant to actively participate in peak shaving transaction, and has definite practical value and practical significance for promoting new energy consumption.
The above steps are specifically described below.
In the step 1, the method for simplifying the thermoelectric coupling relation of the cogeneration unit of the self-contained power plant can be simplified in a piecewise linearization mode according to the extraction quantity and the operation working condition.
Specifically, firstly, according to the difference of the heat load steam extraction quantity of the cogeneration unit, a thermoelectric relation curve is divided into four different sections, and then simplification is carried out in a piecewise linearization mode according to corresponding working conditions respectively to obtain eight sections of curves of the upper section and the lower section of each section. As shown in fig. 2, the simplified thermoelectric coupling relationship curve is specifically:
wherein n is the steam extraction interval, P n，max 、P n，min Respectively an upper section and a lower section of curves in an nth section, a n ，a n+1 ，b n ，b n+1 Is of a known constant, Q n The heat load extraction amount is the interval n.
In this embodiment, division into four sections is an example, and a plurality of sections may be divided according to specific needs, thereby obtaining a multi-section curve.
In step 1, specifically, the method follows the principle of 'electricity by heat determination' of enterprise production, and obtains the schedulable range of the cogeneration unit according to the corresponding thermoelectric relation curve after determining the heat load.
In the step 2, with the minimum sum of the peak shaving auxiliary service market cost and the safety constraint penalty value as a target, an objective function in a peak shaving auxiliary service market clearing model is constructed as follows:
wherein N is a set side set; t is a time set; x is the number of quotation segments; NC is a safety constraint set comprising line and section safety constraints; c (C) i，t (n i，t，x ) The method comprises the steps of segmenting a quotation curve for a unit, wherein the piecewise linear function is related to peak shaving quantity of each segment declared by the unit and corresponding energy price; n is n i，t，x Peak shaving amount of each section declared for the ith unit; b i，t，x The method comprises the steps that the winning peak regulation capacity of an ith unit in an x section at the moment t is achieved; m is a network tide constraint relaxation penalty factor of market clearing optimization;a forward power flow relaxation variable of the safety constraint c at the time t; />And c is a reverse power flow relaxation variable of the safety constraint at the time t.
The model contains the following constraint conditions:
(1) System load balancing constraints: the system load balance constraint under the condition of new energy entry exists, which means that the sum of the output of all units and the injection power of the connecting wire is equal to the difference between the total active load of the system and the active load of the new energy in each period, namely:
wherein NT is a tie-line set; p (P) i，t The output of the ith unit at the time t is obtained; t (T) j，t The injection power of the jth interconnecting line at the time t is used as the injection power; d (D) t The total active load of the system at the time t;and the new energy load of the system at the moment t.
(2) Rotating the reserve constraint: in each period, the sum of the up (down) rotation reserve of all the units is greater than or equal to the up (down) rotation reserve requirement of the system, namely:
in the method, in the process of the invention,the method comprises the steps of providing up-regulating rotation for an ith unit at the moment t for standby; />The method comprises the steps of providing a down-regulating rotation for an ith unit at a moment t for standby; />The system is adjusted upwards at the moment t to rotate for standby; />The standby requirement is rotated for the system to be adjusted downwards at the time t.
(3) Climbing constraint: the difference of the unit output forces in two adjacent time periods is not more than the ascending climbing capacity or not less than the descending climbing capacity; namely:
in the method, in the process of the invention,maximum up-regulation rate for the ith unit; />Is the maximum turndown rate of the ith unit.
(4) Line safety constraints: in each period, no out-of-limit condition exists for any line, namely the transmission limit of the line cannot be exceeded; the constraint formula is as follows:
wherein G is i-l The power transfer distribution factor of the generator output power of the ith line is calculated for the node where the ith unit is located; g j-l The power transfer distribution factor of the generator output power of the jth line is the node of the jth interconnecting link; g k-l The generator output power transfer distribution factor of the kth node to the first line; k is a node set; d (D) k，t The load value of the kth node at the time t is obtained;is the power flow transmission limit of the first line.
(5) Section safety constraint: in each period, no out-of-limit condition exists for any section, namely the transmission limit of the section cannot be exceeded; the constraint formula is as follows:
wherein G is i-s The power transfer distribution factor is output by the generator of the section s for the node of the ith unit; g j-s The power transfer distribution factor is output by the generator on the s section for the node where the j-th connecting line is positioned; g k-s The generator output power transfer distribution factor of the kth node to the s section;the upper limit of the power flow transmission of the first section at the moment t is set; />The lower limit of the power flow transmission of the s-th section at the t moment.
(6) Active load balancing constraints: the active load of the system is equal to the sum of the active loads of all nodes in each period;
the calculation formula is shown as formula (12):
(7) In each period, the sum of the output of any unit and the winning adjustable peak capacity is larger than or equal to the lower output limit of the unit;
the calculation formula is shown as formula (13):
in the method, in the process of the invention,the lower limit of the output of the ith unit at the time t is set.
(8) Upper and lower limit constraint of unit output;
the calculation formula is shown as formula (14):
in the method, in the process of the invention,the upper limit of the output of the ith unit at the time t is set.
(9) In each period, the peak regulation capacity of any unit in a certain section is smaller than or equal to the declaration capacity in the section;
the calculation formula is shown as formula (15):
considering the characteristics of the cogeneration unit, the newly added constraint is as follows:
(1) Thermal load demand constraints: the sum of the thermal power of each unit is equal to the total demand of the thermal load; the calculation formula is shown as formula (16):
in which Q load，t The total heat load requirement at the time t; q (Q) i，t The thermal power of the ith unit at the time t is obtained; n (N) th For the number of cogeneration units, the number of conventional units is changed to N-N th 。
(2) Thermoelectric coupling constraint: namely, the thermoelectric relationship curve shown in FIG. 2 is represented by formula (1).
In step 3, the next daily electricity consumption planning curve of the enterprise to which the self-contained power plant belongs is obtained, which specifically comprises the following steps: and acquiring a next-day power generation plan curve reported by an enterprise belonging to the self-contained power plant on the day before the running day according to the next-day production requirement and the energy consumption characteristic, wherein the next-day power generation plan curve comprises the highest output and the lowest output, and an adjustable space under the conditions of heat supply and steam supply.
In step 4, the next-day power grid operation prediction data comprise load prediction, new energy prediction information, tie line information of the power grid, set state and the like.
After quotation of each power generation main body is finished, clearing and confirming the frequency modulation unit according to the frequency modulation requirement and the bidding principle, and setting an AGC unit according to the frequency modulation clearing result; wherein, each power generation main body can comprise a new energy power plant, a thermal power plant, a self-contained power plant and the like.
After the frequency modulation clearing is completed, carrying out peak regulation and unit plan unified clearing according to a bidding principle to obtain the daily peak regulation bid amount and clearing price of the self-contained power plant;
the bidding principle refers to price priority, capacity priority and time priority.
In engineering practice, the dispatching mechanism usually dispatches the generator once every 15 minutes, the total power dispatching of 96 times is determined in the whole day, the power dispatching curve between each time period is determined by adopting a linear interpolation method, and the calculation formula of the planned output of the τ second is as follows:
wherein P is t For the scheduled power at a certain time point on the 96-point power curve of the whole day, P t+1 For the scheduling power of the next time point, τ has a value of 0-899.
In step 6, the market is rolled out in the day, and the method specifically comprises the following steps:
(1) Firstly, data preparation is needed, and power grid operation data are acquired according to a set rolling clearing time interval, wherein the method comprises the following steps: extracting ultra-short-term load prediction, new energy prediction and latest tie line plan, and correcting the state according to the actual running condition of the unit;
(2) The set time period can be 2 hours, the paid peak regulation transaction of the auxiliary service market of 2 hours in the future is rolled out, and the peak regulation and the unit plan are unified out, so that the daily peak regulation bid-winning electric quantity and the price of the self-contained power plant are obtained;
further, when the self-contained power plant does not have real-time daily transaction clearing and execution conditions, only the daily transaction clearing is participated in, and the daily transaction clearing result is executed in the day.
In the step 6, when clearing and settling are finally carried out, the peak regulation electric quantity provided by the self-contained power plant is comprehensively calculated, and the peak regulation compensation quantity is determined, wherein the specific steps are as follows:
(1) Scheduled adjustment quantity delta P of self-contained power plant t moment j，t The method comprises the following steps:
ΔP j，t ＝P b，t -P t (18)
wherein P is b，t The method comprises the following steps: reference output value at time t determined according to sum of output values of units declared by j-th self-contained power plant, P t Is the scheduled power at a certain point in time on the 96-point power curve throughout the day.
(2) Scalar P in planned peak shaver at t moment of self-contained power plant z，t The method comprises the following steps:
wherein P is f，t The power plant internet surfing plan value is provided at the moment t (internet surfing is positive and internet surfing is negative).
(3) Peak-regulating off-grid output P of self-contained power plant at t moment s，t The method comprises the following steps:
wherein P is 1，t The actual load of the enterprise to which the self-contained power plant belongs is set at the moment t.
(4) Actual peak regulation quantity P at t moment of self-contained power plant u，t The method comprises the following steps:
P u，t ＝P b，t -P g，t (21)
wherein P is g，t And (5) generating a power value of the self-contained power plant at the moment t.
The peak regulation compensation quantity of the self-contained power plant is determined by comprehensive consideration, as shown in a formula (22)
P c，t ＝min{P z，t ，P s，t ，P u，t } (22)
The method proposed above is verified using specific examples below.
Taking a provincial auxiliary service market as an example, the market-modified data is used. After the schedulable range under the given heat load is obtained by simplifying the thermoelectric coupling relation of the cogeneration unit of a self-contained power plant, the typical daily declared power generation plan of the self-contained power plant is shown in the data of 7:30-11:00 in table 1. After the heat load demand constraint and the thermoelectric coupling constraint are added to the auxiliary service market clearing model, the actual power generation plan of the self-contained power plant is obtained through solving, and the data of 7:30-11:00 are shown in table 2.
TABLE 1 reporting Power Generation plans for a self-contained Power plant
TABLE 2 actual Power consumption of a self-contained Power plant
TABLE 3 air volume before and after Peak load adjustment in self-contained Power plant
Further, in order to test the effect of the method on promoting new energy consumption, the change of the active air discarding quantity of the power grid before and after the participation of the self-contained power plant in peak shaving is calculated, and the data of 7:30-11:00 are shown in Table 3. As can be seen from Table 3, when the grid has wind disposal, the self-contained power plant participates in peak shaving, so that the active wind disposal quantity of the grid can be effectively reduced. Therefore, the self-contained power plant can effectively play a role in peak regulation, and promote the consumption of renewable energy sources.
Example 2
Based on embodiment 1, this embodiment provides a regulation and control system for participating in peak shaving of a self-contained power plant based on energy consumption characteristics of an enterprise, including:
thermoelectric coupling relation simplification module: is configured to determine a schedulable range of the cogeneration unit based on the simplified thermoelectric coupling relationship of the cogeneration unit of the self-contained power plant;
and (3) a clearing model construction module: the system is configured for increasing the thermal load demand constraint and the thermocouple constraint, and constructing a peak shaving auxiliary service market clearing model;
the acquisition module is used for: configured for obtaining the next day production demand and energy usage characteristics of the self-contained power plant;
the first clearing module: and the system is configured to acquire the operation prediction data of the next-day power grid and the quotation of the power generation main body in the market in the day, perform frequency modulation clearing according to the schedulable range and the next-day power generation plan curve of the self-contained power plant, perform peak shaving and unit plan unified clearing according to the bidding principle, and obtain the daily peak shaving and winning bid amount of the self-contained power plant.
Further, the method further comprises the following steps:
and a second clearing module: is configured for rolling out the auxiliary service market paid peak shaving transaction for a set period of time in the future according to the peak shaving auxiliary service market shaving model in the daily market;
further, the method further comprises the following steps:
and a third clearing module: the system is configured to finish pre-settlement according to the daily clearing result, and after temporarily invoking peak regulation information maintenance, final clearing settlement is performed to obtain peak regulation electric quantity provided by the self-contained power plant, and peak regulation compensation quantity is determined.
Example 3
The present embodiment provides an electronic device comprising a memory and a processor, and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps recited in the method of embodiment 1.
The electronic device provided by the present disclosure may be a mobile terminal and a non-mobile terminal, where the non-mobile terminal includes a desktop computer, and the mobile terminal includes a Smart Phone (such as an Android Phone, an IOS Phone, etc.), a Smart glasses, a Smart watch, a Smart bracelet, a tablet computer, a notebook computer, a personal digital assistant, and other mobile internet devices capable of performing wireless communication.
It should be appreciated that in this disclosure, the processor may be a central processing unit, CPU, the processor may also be other general purpose processors, digital signal processors, DSPs, application specific integrated circuits, ASICs, off-the-shelf programmable gate arrays, FPGAs, or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may include read only memory and random access memory and provide instructions and data to the processor, and a portion of the memory may also include non-volatile random access memory. For example, the memory may also store information of the device type.
The foregoing description of the preferred embodiments of the present disclosure is provided only and not intended to limit the disclosure so that various modifications and changes may be made to the present disclosure by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present disclosure should be included in the protection scope of the present disclosure.
While the specific embodiments of the present disclosure have been described above with reference to the drawings, it should be understood that the present disclosure is not limited to the embodiments, and that various modifications and changes can be made by one skilled in the art without inventive effort on the basis of the technical solutions of the present disclosure while remaining within the scope of the present disclosure.
Claims (5)
1. The regulation and control method for participating in peak shaving of self-contained power plants based on enterprise energy consumption characteristics is characterized by comprising the following steps:
determining a schedulable range of the cogeneration unit based on the simplified thermoelectric coupling relation of the cogeneration unit of the self-contained power plant;
increasing the heat load demand constraint and the thermoelectric coupling constraint, and constructing a peak shaving auxiliary service market clearing model;
acquiring a next-day power generation plan curve of an enterprise to which the self-contained power plant belongs;
in the day-ahead market, acquiring the operation prediction data of a next-day power grid and quotation of a power generation main body, carrying out peak shaving and clearing according to a schedulable range and a next-day power generation plan curve of a self-contained power plant, carrying out peak shaving and clearing according to a peak shaving auxiliary service market clearing model, and carrying out peak shaving and unit plan unified clearing according to a bidding principle to obtain the day-ahead peak shaving and winning bid amount of the self-contained power plant;
in the daily market, rolling out the paid peak regulation transaction of the auxiliary service market in a set time period in the future according to the peak regulation auxiliary service market clearing model;
the method comprises the steps of completing pre-settlement according to a daily clearing result, performing final clearing settlement after temporarily calling peak shaving information maintenance, obtaining peak shaving electric quantity provided by a self-contained power plant, and determining peak shaving compensation quantity;
the method for determining the peak shaving compensation quantity comprises the following specific steps:
(1) Scheduled adjustment quantity delta P of self-contained power plant t moment j，t The method comprises the following steps:
ΔP j，t ＝P b，t -P t (18)
wherein P is b，t The method comprises the following steps: reference output value at time t determined according to sum of output values of units declared by j-th self-contained power plant, P t Scheduling power at a certain time point on a 96-point power curve of the whole day;
(2) Scalar P in planned peak shaver at t moment of self-contained power plant z，t The method comprises the following steps:
wherein P is f，t The method comprises the steps of providing a power plant internet surfing plan value at a moment t, wherein internet surfing is positive, and internet surfing is negative;
(3) Peak-regulating off-grid output P of self-contained power plant at t moment s，t The method comprises the following steps:
wherein P is 1，t The actual load of the enterprise to which the self-contained power plant belongs at the moment t;
(4) Actual peak regulation quantity P at t moment of self-contained power plant u，t The method comprises the following steps:
P u，t ＝P b，t -P g，t (21)
wherein P is g，t Generating a power output value of the self-contained power plant at the moment t;
and (4) determining peak shaving compensation quantity of the self-contained power plant through comprehensive consideration, wherein the peak shaving compensation quantity is shown in a formula (22):
P c，t ＝min{P z，t ，P s，t ，P u，t } (22)
the method comprises the steps of taking the minimum sum of peak shaving auxiliary service market cost and safety constraint penalty value as a target, and constructing an objective function in a peak shaving auxiliary service market clearing model as follows:
wherein N is a set side set; t is a time set; x is the number of quotation segments; NC is a safety constraint set ， Including line and section safety constraints; c (C) i，t (n i，t，x ) The method comprises the steps of segmenting a quotation curve for a unit, wherein the piecewise linear function is related to peak shaving quantity of each segment declared by the unit and corresponding energy price; n is n i，t，x Peak shaving amount of each section declared for the ith unit; b i，t，x The method comprises the steps that the winning peak regulation capacity of an ith unit in an x section at the moment t is achieved; m is a network tide constraint relaxation penalty factor of market clearing optimization;a forward power flow relaxation variable of the safety constraint c at the time t; />A reverse power flow relaxation variable of the safety constraint c at the time t;
the model contains the following constraint conditions:
(1) System load balancing constraints: the system load balance constraint under the condition of new energy entry exists, which means that the sum of the output of all units and the injection power of the connecting wire is equal to the difference between the total active load of the system and the active load of the new energy in each period, namely:
wherein NT is a tie-line set; p (P) i，t The output of the ith unit at the time t is obtained; t (T) j，t The injection power of the jth interconnecting line at the time t is used as the injection power; d (D) t The total active load of the system at the time t; d (D) t w The new energy load of the system at the moment t;
(2) Rotating the reserve constraint: in each period, the sum of the up-down rotation reserve of all the units is greater than or equal to the up-down rotation reserve requirement of the system, namely:
in the method, in the process of the invention,the method comprises the steps of providing up-regulating rotation for an ith unit at the moment t for standby; />The method comprises the steps of providing a down-regulating rotation for an ith unit at a moment t for standby; />The system is adjusted upwards at the moment t to rotate for standby; />The rotation standby requirement is adjusted downwards for the system at the time t;
(3) Climbing constraint: the difference of the unit output forces in two adjacent time periods is not more than the ascending climbing capacity or not less than the descending climbing capacity; namely:
in the method, in the process of the invention,maximum up-regulation rate for the ith unit; />Maximum down-regulation rate for the ith unit;
(4) Line safety constraints: in each period, no out-of-limit condition exists for any line, namely the transmission limit of the line cannot be exceeded; the constraint formula is as follows:
wherein G is i-l The power transfer distribution factor of the generator output power of the ith line is calculated for the node where the ith unit is located; g j-l Output power of generator for the jth line for the node where the jth tie line is locatedTransferring the distribution factor; g k-l The generator output power transfer distribution factor of the kth node to the first line; k is a node set; d (D) k，t The load value of the kth node at the time t is obtained;the power flow transmission limit of the first line;
(5) Section safety constraint: in each period, no out-of-limit condition exists for any section, namely the transmission limit of the section cannot be exceeded; the constraint formula is as follows:
wherein G is i-s The power transfer distribution factor is output by the generator of the section s for the node of the ith unit; g j-s The power transfer distribution factor is output by the generator on the s section for the node where the j-th connecting line is positioned; g k-s The generator output power transfer distribution factor of the kth node to the s section;the upper limit of the power flow transmission of the s-th section at the t moment is set;the lower limit of the power flow transmission of the s-th section at the t moment is set;
(6) Active load balancing constraints: the active load of the system is equal to the sum of the active loads of all nodes in each period;
the calculation formula is shown as formula (12):
(7) In each period, the sum of the output of any unit and the winning adjustable peak capacity is larger than or equal to the lower output limit of the unit;
the calculation formula is shown as formula (13):
in the method, in the process of the invention,the lower limit of the output of the ith unit at the time t is set;
(8) Upper and lower limit constraint of unit output;
the calculation formula is shown as formula (14):
in the method, in the process of the invention,the upper limit of the output of the ith unit at the moment t is set;
(9) In each period, the peak regulation capacity of any unit in a certain section is smaller than or equal to the declaration capacity in the section;
the calculation formula is shown as formula (15):
considering the characteristics of the cogeneration unit, the newly added constraint is as follows:
(1) Thermal load demand constraints: the sum of the thermal power of each unit is equal to the total demand of the thermal load; the calculation formula is shown as formula (16):
in which Q load，t The total heat load requirement at the time t; q (Q) i，t The thermal power of the ith unit at the time t is obtained; n (N) th For the number of cogeneration units, the number of conventional units is changed to N-N th ；
(2) Thermoelectric coupling constraint: firstly, dividing a thermoelectric relation curve into n different sections according to different heat load steam extraction amounts of a cogeneration unit, and then simplifying the sections in a piecewise linearization mode according to corresponding working conditions to obtain 2n sections of curves in total of an upper section and a lower section of each section; the simplified thermoelectric coupling relation curve is specifically:
wherein n is the steam extraction interval, P n，max 、P n，min Respectively an upper section and a lower section of curves in an nth section, a n ，a n+1 ，b n ，b n+1 Is of a known constant, Q n The heat load extraction amount is the interval n.
2. The regulation and control method for participating in peak shaving of self-contained power plants based on enterprise energy consumption characteristics as set forth in claim 1, wherein: the method for determining the schedulable range of the cogeneration unit comprises the following steps: after the thermal load is determined, the schedulable range of the cogeneration unit is obtained according to the corresponding simplified thermoelectric coupling relation.
3. The method for regulating and controlling the participation of a self-contained power plant in peak shaving based on the energy consumption characteristics of an enterprise as claimed in claim 1, wherein the energy consumption characteristics and the production demand of the self-contained power plant in the next day are obtained, wherein the energy consumption planning curve of the next day comprises the highest output and the lowest output, and the adjustable space under the conditions of heat supply and steam supply.
4. A self-contained power plant participation peak shaving control system based on enterprise energy usage characteristics, based on the self-contained power plant participation peak shaving control method based on enterprise energy usage characteristics according to any one of claims 1 to 3, comprising:
thermoelectric coupling relation simplification module: is configured to determine a schedulable range of the cogeneration unit based on the simplified thermoelectric coupling relationship of the cogeneration unit of the self-contained power plant;
and (3) a clearing model construction module: the system is configured for increasing the thermal load demand constraint and the thermocouple constraint, and constructing a peak shaving auxiliary service market clearing model;
the acquisition module is used for: configured for obtaining the next day production demand and energy usage characteristics of the self-contained power plant;
the first clearing module: and the system is configured to acquire the operation prediction data of the next-day power grid and the quotation of the power generation main body in the market in the day, perform peak shaving and clearing according to the schedulable range and the next-day power generation plan curve of the self-contained power plant, perform peak shaving and clearing according to the peak shaving auxiliary service market clearing model, perform peak shaving and unit plan unified clearing according to the bidding principle, and obtain the daily peak shaving and winning capacity of the self-contained power plant.
5. An electronic device comprising a memory and a processor and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform the steps of the method of any one of claims 1-3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111293562.6A CN114069613B (en) | 2021-11-03 | 2021-11-03 | Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111293562.6A CN114069613B (en) | 2021-11-03 | 2021-11-03 | Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114069613A CN114069613A (en) | 2022-02-18 |
| CN114069613B true CN114069613B (en) | 2024-03-12 |
Family
ID=80273559
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111293562.6A Active CN114069613B (en) | 2021-11-03 | 2021-11-03 | Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114069613B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117422282B (en) * | 2023-12-19 | 2024-03-22 | 国网山东省电力公司电力科学研究院 | Unit peak regulation method using surplus power of power grid to couple thermodynamic system |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013060083A1 (en) * | 2011-10-23 | 2013-05-02 | 西安交通大学 | Extraction condensing cogeneration and straight condensing thermal power joint scheduling system and method |
| CN109359853A (en) * | 2018-10-11 | 2019-02-19 | 国电南瑞科技股份有限公司 | A kind of ancillary service trading clearing method of peak regulation transprovincially considering power system security constraints |
| CN109508853A (en) * | 2018-09-20 | 2019-03-22 | 国电南瑞科技股份有限公司 | Peak regulation ancillary service method of commerce and system between a kind of province |
| CN110728405A (en) * | 2019-10-12 | 2020-01-24 | 华北电力大学 | Day-ahead market trading method for heat storage electric boiler load participating in wind power consumption |
| CN111626470A (en) * | 2020-04-10 | 2020-09-04 | 中国电力科学研究院有限公司 | Electric heating comprehensive coordination optimization scheduling method and system |
| CN112465534A (en) * | 2020-10-20 | 2021-03-09 | 华电电力科学研究院有限公司 | Bidding calculation method for thermoelectric unit participating in peak shaving auxiliary service |
| CN113190963A (en) * | 2021-03-30 | 2021-07-30 | 国网上海市电力公司 | Clearing method for virtual power plant participating in electric power peak regulation auxiliary service market |
| CN113344309A (en) * | 2020-02-18 | 2021-09-03 | 南京南瑞继保电气有限公司 | Power system combined peak regulation clearing method and device, electronic equipment and storage medium |
-
2021
- 2021-11-03 CN CN202111293562.6A patent/CN114069613B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013060083A1 (en) * | 2011-10-23 | 2013-05-02 | 西安交通大学 | Extraction condensing cogeneration and straight condensing thermal power joint scheduling system and method |
| CN109508853A (en) * | 2018-09-20 | 2019-03-22 | 国电南瑞科技股份有限公司 | Peak regulation ancillary service method of commerce and system between a kind of province |
| CN109359853A (en) * | 2018-10-11 | 2019-02-19 | 国电南瑞科技股份有限公司 | A kind of ancillary service trading clearing method of peak regulation transprovincially considering power system security constraints |
| CN110728405A (en) * | 2019-10-12 | 2020-01-24 | 华北电力大学 | Day-ahead market trading method for heat storage electric boiler load participating in wind power consumption |
| CN113344309A (en) * | 2020-02-18 | 2021-09-03 | 南京南瑞继保电气有限公司 | Power system combined peak regulation clearing method and device, electronic equipment and storage medium |
| CN111626470A (en) * | 2020-04-10 | 2020-09-04 | 中国电力科学研究院有限公司 | Electric heating comprehensive coordination optimization scheduling method and system |
| CN112465534A (en) * | 2020-10-20 | 2021-03-09 | 华电电力科学研究院有限公司 | Bidding calculation method for thermoelectric unit participating in peak shaving auxiliary service |
| CN113190963A (en) * | 2021-03-30 | 2021-07-30 | 国网上海市电力公司 | Clearing method for virtual power plant participating in electric power peak regulation auxiliary service market |
Non-Patent Citations (2)
| Title |
|---|
| 山西电力现货与深度调峰市场联合优化机制设计与实践;丁强;电网技术;第45卷(第6期);2219-2227 * |
| 考虑电网调峰的热电联产热负荷动态调度模型;许丹;电力系统保护与控制;45(11);59-64 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114069613A (en) | 2022-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Reddy | Optimal scheduling of thermal-wind-solar power system with storage | |
| CN105046395B (en) | Method for compiling day-by-day rolling plan of power system containing multiple types of new energy | |
| CN109492861B (en) | Method for decomposing medium-term electricity quantity trading plan of cascade hydropower station group | |
| CN108388968B (en) | Power generation plan rolling adjustment method based on pre-bidding deviation electric quantity balance mechanism | |
| CN112103943B (en) | Safety checking method and device for delivery of electric power spot market in the day-ahead and storage medium | |
| CN110649598B (en) | Method and system for regulating node electricity price by virtual power plant in area | |
| CN112488744A (en) | Transaction-driven virtual power plant customization construction method | |
| CN112909933B (en) | Intraday rolling optimization scheduling method containing pumped storage unit under spot market environment | |
| Li et al. | A coordinated peak shaving strategy using neural network for discretely adjustable energy-intensive load and battery energy storage | |
| CN114069613B (en) | Method and system for regulating and controlling participation peak shaving of self-contained power plant based on enterprise energy consumption characteristics | |
| Hu et al. | A two-stage dispatching method for wind-hydropower-pumped storage integrated power systems | |
| CN109726894A (en) | Ensure the new energy active command calculation method of spot exchange and medium-term and long-term electricity | |
| Hua et al. | Demand-side Joint Electricity and Carbon Trading Mechanism | |
| CN111463784A (en) | Method for predicting spontaneous self-use comprehensive electricity price of distributed photovoltaic power station and related components | |
| Tang et al. | Unit maintenance strategy considering the uncertainty of energy intensive load and wind power under the carbon peak and carbon neutral target | |
| CN111612239A (en) | Correction method for power generation plan of marketized power plant | |
| CN113256168B (en) | Power system planning method, device, equipment and storage medium | |
| CN109167350A (en) | A kind of construction method of industrial load response model | |
| CN112348274B (en) | Electric power spot market clearing method, system, equipment and medium considering peak shaving | |
| Cailian et al. | Demand response model and impact studies based on bidirectional interactive of information and electrical energy | |
| Tan et al. | Multiobjective CVaR optimization model and solving method for hydrothermal system considering uncertain load demand | |
| Hao et al. | A Novel Stochastic Economic Dispatch Method Considering Renewable Energy Correlation and Demand Response | |
| Wang et al. | A Load-Based Method for Peak Operations of Cascaded Hydropower Stations | |
| Linjun et al. | Research on market mechanism of wind power accommodation based on power bidding | |
| CN111898789B (en) | Electric quantity clearing method, system, medium and clearing equipment based on deep learning |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |