CN114693346A - Electric power market clearing method, system, equipment and storage medium - Google Patents
Electric power market clearing method, system, equipment and storage medium Download PDFInfo
- Publication number
- CN114693346A CN114693346A CN202210278323.1A CN202210278323A CN114693346A CN 114693346 A CN114693346 A CN 114693346A CN 202210278323 A CN202210278323 A CN 202210278323A CN 114693346 A CN114693346 A CN 114693346A
- Authority
- CN
- China
- Prior art keywords
- power market
- carbon
- generator set
- electric power
- cost
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 48
- 238000003860 storage Methods 0.000 title claims abstract description 21
- 229910052799 carbon Inorganic materials 0.000 claims abstract description 140
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 134
- 238000005457 optimization Methods 0.000 claims abstract description 28
- 230000005611 electricity Effects 0.000 claims abstract description 14
- 230000006870 function Effects 0.000 claims description 20
- 230000005540 biological transmission Effects 0.000 claims description 18
- 238000004590 computer program Methods 0.000 claims description 15
- 238000010977 unit operation Methods 0.000 claims description 14
- 230000009466 transformation Effects 0.000 abstract description 5
- 238000010248 power generation Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000009826 distribution Methods 0.000 description 7
- 238000012546 transfer Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 5
- 230000007246 mechanism Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 230000009194 climbing Effects 0.000 description 4
- 230000035945 sensitivity Effects 0.000 description 4
- 239000000126 substance Substances 0.000 description 4
- 230000000903 blocking effect Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 239000011159 matrix material Substances 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000004422 calculation algorithm Methods 0.000 description 2
- 230000003828 downregulation Effects 0.000 description 2
- 230000007613 environmental effect Effects 0.000 description 2
- 238000012886 linear function Methods 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 230000003827 upregulation Effects 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 230000002860 competitive effect Effects 0.000 description 1
- 239000004020 conductor Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000002360 preparation method Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/38—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
- H02J3/48—Controlling the sharing of the in-phase component
-
- 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]
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Power Engineering (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Educational Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Supply And Distribution Of Alternating Current (AREA)
Abstract
The invention belongs to the field of electric power automation, and discloses a method, a system, equipment and a storage medium for clearing an electric power market, which comprises the steps of obtaining a declaration price and a price-to-electricity-carbon cost increment value of a generator set; superposing the declared price of the generator set and the incremental value of the cost of the electric carbon according to the preset weight to obtain the declared price of the generator set; and according to the declaration price of the generator set, clearing the power market based on a preset power market clearing model to obtain a power market clearing result. By comprehensively considering the mutual influence factors of the power market and the carbon market, the reasonable optimization between the carbon emission and the operation of the thermal power generating unit is realized, the overall expenditure of the thermal power generating unit, the electricity utilization cost of power users or the carbon emission of a power system are reduced, and the low-carbon transformation and resource optimization configuration of power are promoted.
Description
Technical Field
The invention belongs to the field of electric power automation, and relates to a method, a system, equipment and a storage medium for clearing an electric power market.
Background
The electric power market and the carbon market are mutually independent and are connected through a common market main body (thermal power) and price. At present, an electric power market and a carbon market are in a perfect establishing stage, carbon price and electricity price are difficult to conduct effectively in a short time, but the two markets take a thermal power generating unit as a main body, and therefore, the mutual influence factors of the electric power market and the carbon market need to be considered comprehensively. And because under the electric power marketization regulation, the carbon price can be conducted to the electricity price, the cost of thermal power enterprises is increased, the price is reflected in the electric power market quotation, and the clear result of the electric power market is influenced.
At present, in the spot operation process of the power market, the power market is cleared only by considering the operation cost of the thermal power generating unit generally, the power generation cost of the thermal power generating unit is minimized as an optimization target, and then the operation of the thermal power generating unit is guided according to the clearing result. However, this method lacks consideration of carbon cost, cannot achieve reasonable optimization between carbon emission cost and thermal power unit operation cost, and may cause a large carbon emission amount or imbalance of carbon emission of each thermal power unit, resulting in an increase in overall expenditure of the thermal power unit, and also may cause an impact on the environment.
Disclosure of Invention
It is an object of the present invention to overcome the above-mentioned disadvantages of the prior art and to provide a method, a system, a device and a storage medium for clearing an electric power market.
In order to achieve the purpose, the invention adopts the following technical scheme to realize the purpose:
in a first aspect of the present invention, a method for clearing an electric power market comprises:
acquiring the declared price and the added value of the electric carbon cost of the generator set;
superposing the declared price of the generator set and the incremental value of the cost of the electric carbon according to the preset weight to obtain the declared price of the generator set;
and according to the declaration price of the generator set, clearing the power market based on a preset power market clearing model to obtain a power market clearing result.
Optionally, the obtaining of the incremental cost of the electric carbon consumption of the generator set includes:
obtaining the incremental cost value C of the electric carbon of the generator set through the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, Cini,iCost of initial carbon quota acquisition for Generator set i, Cbuy,iCost, k, for the purchase of generator set i in the carbon market1And k2Are respectively the proportional coefficients of the electric quantity corresponding to the initial carbon quota of the generator set and the carbon market trading electric quantity, and k1+k2＝1。
Optionally, when the electric power market is cleared based on the preset electric power market clearing model:
when the electric power market is the electric power market in the region, the optimization objective function of the electric power market clearing model is as follows:
wherein N is the total number of the generator sets, T is the total time period number, and Pi,tIs the output of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i during the time period t, CC,i(Pi,t) To increase the carbon cost value of the generator set i in the time period t,
setting alpha as a preset carbon cost weight coefficient for the start-stop cost of the generator set i in a time period t;
when the electric power market is a multi-region electric power market, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
Optionally, when the electric power market is cleared based on the preset electric power market clearing model:
when the electric power market is the regional electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraint and unit operation constraint;
when the electric power market is a multi-region electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraints, unit operation constraints and tie line constraints.
In a second aspect of the present invention, an electric power market clearing system includes:
the data acquisition module is used for acquiring the declared price and the incremental cost value of the electric carbon;
the carbon cost superposition module is used for superposing the declared price of the generator set and the carbon cost increment value of the kilowatt-hour meter according to the preset weight to obtain the clear declared price of the generator set;
and the clearing module is used for clearing the electric power market based on a preset electric power market clearing model according to the clearing declaration price of the generator set to obtain an electric power market clearing result.
Optionally, the data obtaining module is specifically configured to:
obtaining the electric carbon cost increment value C of the generator set by the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, Cini,iCost of initial carbon quota acquisition for Generator set i, Cbuy,iFor generator set i in carbonCost of carbon trading in the market, k1And k2Are respectively the proportional coefficients of the electric quantity corresponding to the initial carbon quota of the generator set and the carbon market trading electric quantity, and k1+k2＝1。
Optionally, when the power market is a regional power market, the optimization objective function of the power market clearing model is as follows:
wherein N is the total number of the generator sets, T is the total time period number, Pi,tOutput of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i during the time period t, CC,i(Pi,t) To increase the carbon cost value of the generator set i in the time period t,
setting alpha as a preset carbon cost weight coefficient for the start-stop cost of the generator set i in a time period t;
when the electric power market is a multi-region electric power market, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
Optionally, when the power market is a regional power market, the constraint conditions of the power market clearing model include at least one of system safety constraints and unit operation constraints;
when the electric power market is a multi-region electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraint, unit operation constraint and tie line constraint.
In a third aspect of the present invention, a computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned power market clearing method when executing the computer program.
In a fourth aspect of the present invention, a computer-readable storage medium stores a computer program which, when executed by a processor, implements the steps of the above-described power market clearing method.
Compared with the prior art, the invention has the following beneficial effects:
the electric power market clearing method comprises the steps of firstly obtaining a declaration price and a degree electric carbon cost increment of a generator set, then superposing the declaration price and the degree electric carbon cost increment of the generator set based on preset weight to serve as a clearing declaration price of the generator set, reflecting the carbon cost into electric power market quotation in the form of the degree electric carbon cost increment, dynamically evaluating the influence of the carbon cost on the clearing price of the electric power market in different application scenes based on changeable setting of the preset weight, and finally clearing the electric power market based on a preset electric power market clearing model according to the clearing declaration price of the generator set to obtain an electric power market clearing result for guiding the operation of an electric power system. The mutual influence factors of the power market and the carbon market are considered comprehensively, and the carbon emission and the operation of the thermal power generating unit are reasonably optimized, so that the overall expenditure of the thermal power generating unit, the electricity utilization cost of power users or the carbon emission of a power system are effectively reduced, and the low-carbon transformation and resource optimization configuration of power are promoted.
Drawings
FIG. 1 is a flow chart of a power market clearing method according to an embodiment of the invention;
FIG. 2 is a flow chart of the electric power market clearing process including the construction of the electric power market clearing model according to the embodiment of the present invention;
fig. 3 is a block diagram of a power market clearing system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
First, related terms involved in the embodiments of the present invention are described:
market day ahead: and the electric energy trading market is used for determining the unit combination state and the power generation plan on the operation day (D-1 day) in advance.
Market declaration: the market main body declares various data information including static attribute registration data, operation technical parameters, economic parameters and the like in a specified time range according to the requirements of the spot market.
Electric power market is clear: the electric power market determines the transaction amount and price through competitive pricing according to market rules.
And (3) safety constraint unit combination: under the condition of meeting the safety constraint of the power system, a multi-period unit start-up and shut-down plan is formulated by taking the maximization of social welfare or the minimization of the total power supply cost of the system as optimization targets.
Safety constraint economic dispatch: under the condition of meeting the safety constraint of the power system, a multi-period unit power generation plan is formulated by taking the maximization of social welfare or the minimization of the total power supply cost of the system as optimization targets.
And (4) safety checking: and analyzing the safety process of the power system from the aspect of the operation safety of the power system for the contents of the maintenance plan, the power generation plan, the market clearing result, the power grid operation and the like. The analysis method comprises static safety analysis, transient stability analysis, dynamic stability analysis, voltage stability analysis and the like.
Connecting lines: the special conductor for connecting the power plant and the power grid can transmit the electric energy generated by the power plant into the power grid or transmit the electric energy on the power grid back into the power plant.
Carbon market: carbon trading is an important policy tool for controlling and reducing greenhouse gas emissions using market mechanisms, with the primary functions being carbon emission control and carbon emission pricing. The carbon market is designed based on the total amount control and transaction principle, the government sets the total amount of carbon emission, carbon emission limits (quotas) are issued to key industry controlled and exhausted enterprises according to the sub-formula method, the enterprises manage the carbon emission of the enterprises, the enterprises can buy and sell in the carbon market according to the allowance and shortage condition, and the price is determined by the market. If the actual emission of the enterprise is lower than the quota, the surplus quota can be sold in the carbon market and can be used for profit, otherwise, measures such as purchasing the quota or self-emission reduction can be selected.
Cost of initial carbon quota acquisition: the free time is zero, the price of the paid auction is determined by the auction price and the sufficient selling amount, and the cost is a fixed value for the participating electric power spot machine group.
Carbon purchase cost of carbon market: depending on the carbon market trade.
The invention is described in further detail below with reference to the accompanying drawings:
referring to fig. 1, in an embodiment of the present invention, an electric power market clearing method is provided, and specifically, an electric power market clearing method considering carbon cost is provided, so that market clearing efficiency is effectively improved, reasonable optimization between electric power system operation and carbon emission is realized, resource optimization configuration is promoted, and electric power low-carbon transformation is promoted. Specifically, the electric power market clearing method considering carbon cost includes the following steps.
S1: and acquiring the declared price and the incremental value of the electric carbon cost of the generator set.
S2: and superposing the declared price of the generator set and the incremental value of the cost of the electric carbon according to the preset weight to obtain the declared price of the generator set.
S3: and according to the declaration price of the generator set, clearing the power market based on a preset power market clearing model to obtain a power market clearing result.
In one possible embodiment, the declared price for the generator set is generally extracted from market member declaration information in step S1. Specifically, when the market member reports, a multi-section price measuring curve of the operation day is reported as a reported price, and the curve is a monotone increasing curve.
In step S1, the obtaining of the incremental cost value of the electric carbon consumption of the generator set includes: obtaining the electric carbon cost increment value C of the generator set by the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, CC,iThe unit of (A) is Yuan/MWh; cini,iThe cost for acquiring the initial carbon quota of the generator set i is expressed, wherein the unit is yuan/MWh and is a fixed value; cbuy,iThe carbon purchase cost of the power generation side unit i in the carbon market is shown, and the carbon purchase cost is influenced by the carbon market price and is variable, and the unit is yuan/MWh; k is a radical of1And k2Respectively represents the proportional coefficient of the initial quota electric quantity of the generator set and the carbon market trading electric quantity, and satisfies k1+k21 in a proportional relationship.
In step S2, the preset weight is used as a carbon value influence factor to evaluate an added value of the carbon emission cost to the power consumption cost of the generator set, the size of the preset weight can be flexibly set, the mutual influence factors of the power market and the carbon market are comprehensively considered, the operation optimization of the generator set under the combined action of the power market and the carbon market is realized, and the market operation efficiency, the low-carbon transformation of the power and the resource optimization configuration are effectively improved.
Referring to fig. 2, in a possible embodiment, in step S3, the preset power market clearing model may be constructed in the following manner.
Specifically, basic data preparation is firstly carried out, and data required by multi-state calculation of a network model, equipment parameters, an equipment operation plan, an equipment retirement plan, an equipment power failure maintenance plan, a bus plate receiving mode and the like of a power grid and other basic data such as unit operation parameters and the like are obtained through a dispatching and trading mechanism.
And then, generating a network topology, constructing the network topology of the power grid by utilizing an equipment commissioning plan, an equipment decommissioning plan, an equipment power failure maintenance plan and a bus plate receiving mode, dividing the whole network equipment into states of maintenance, maintenance accompanying and stopping, availability, island availability and the like based on the logical relation of the network topology, and generating a future state network topology for verifying the generating capacity declared by the generating set and providing the network topology for AC/DC sensitivity calculation.
Then, sensitivity calculation is carried out, and according to the network topology model of the power grid in the corresponding time period, a power grid sensitivity matrix is calculated through the following formula:
ski＝(xpi-xqi)/xk
wherein s iskiSensitivity, x, representing line power flow of the kth line to the active power output of the ith nodepiAnd xqiRespectively representing the impedance values, x, of the corresponding positions in the DC power flow impedance matrixkRepresenting the impedance of line k.
And then, acquiring and verifying the declaration information of the market members, determining the maximum declaration power generation capacity of the generator set based on the equipment working condition state obtained through the steps, verifying and judging whether the actually declared power generation capacity accords with the actual equipment state, and taking the power generation capacity as the effective declaration power generation capacity if the verification is passed, namely taking the declaration capacity meeting the following formula as the effective declaration capacity of the power plant.
pi,t≤Pi,t
Wherein p isi,tRepresenting the actual reported power generation capacity of the generator set i at the moment t; pi,tAnd (4) representing the maximum declared power generation capacity of the generator set i at the moment t.
And then, summarizing the operation boundary conditions of the power grid, and acquiring the operation boundary conditions of the power grid required by clearing of the power market through a dispatching mechanism and a trading mechanism, such as system load prediction, bus load prediction, a tie line plan, a medium-term and long-term plan, a fixed output plan and the like. And finally, after acquiring the operation boundary conditions of the power grid, integrating the topology information of the power grid network, the sensitivity matrix of the power grid, the declaration information of the generator set and the operation boundary conditions of the power grid, and constructing a power market clearing model by taking the minimization of the power consumption cost as an optimization target.
In one possible embodiment, when the power market is a regional power market, such as provincial power market clearing, the optimization objective function of the power market clearing model is:
wherein N is the total number of the generator sets, T is the total time period number, Pi,tIs the output of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i in the time interval t, is a multi-segment linear function related to the output interval of each segment of the generator set and the corresponding capacity price, CC,i(Pi,t) The carbon cost increment value of the generator set i in the time period t is a multi-segment linear function related to the output interval of each segment declared by the generator set and the carbon emission to the carbon cost increment value of the degree of the generator set,
for the start-stop cost of the generator set i in the time period t, alpha is a preset carbon cost weight coefficient, and the influence of the carbon cost increase value on the electric power spot market trading price can be dynamically evaluated by setting different values.
When the electric power market is a multi-region electric power market, if the provincial electric power market is cleared, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
Wherein the content of the first and second substances,
and is
M represents the total number of the quotation sections of the generator set i, Pi,t,mRepresents the winning power of the generator set i in the mth output interval of the time period tth,
and
respectively representing the minimum value and the maximum value of the m output interval declared by the generator set i;
Ci,mrepresenting the energy price corresponding to the mth output interval declared by the generator set i;
representing the single starting cost declared by the generator set i; cj,t＝θjPj,t，θjRepresenting the transmission price, P, of the tie jj,tThe transmission power of the inter-area link j in the time period t is indicated, and when the intra-area power market is cleared, the portion may be set to 0.
In one possible embodiment, when the electricity market is an electricity market in a region, the constraints of the electricity market clearing model include at least one of system safety constraints and unit operation constraints; when the electric power market is a multi-region electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraints, unit operation constraints and tie line constraints.
Specifically, the system safety constraints include system load balancing constraints, system standby constraints, line flow constraints and section flow constraints. Among other things, the system load balancing constraint may be described as:
wherein, Tj,tRepresents the planned power of the tie j (feed positive, output negative) over time period t, C represents the total number of ties, DtRepresenting the system load for time period t. The system standby constraints may be described as:
and
that is, the up-regulation reserve sum and the down-regulation reserve sum of the output of the generator set at each time interval need to meet the up-regulation reserve requirement and the down-regulation reserve requirement of the actual operation, wherein,
and
respectively representing the maximum output and the minimum output of the generator set i in the next time period of the time period t;
and
respectively representing an up-standby requirement and a down-standby requirement for a time period t. The line flow constraint may be described as:
wherein the content of the first and second substances,
representing the limit of transmission of power flow, G, of the line ll-iIndicates the section of the generator set iGenerator output power transfer distribution factor, G, for point to line ll-jRepresenting the generator output power transfer distribution factor of the line l by the node where the tie line j is located, K representing the node number of the system, Gl-kGenerator output power transfer distribution factor, D, representing the node k on line lk,tRepresenting the bus load value of node k at time t. The profile flow constraint can be described as:
wherein the content of the first and second substances,
and
respectively representing the lower and upper limits of the power flow transmission of the section s, Gs-iGenerator output power transfer distribution factor G representing section s of node pair where generator set i is locateds-jGenerator output power transfer distribution factor, G, representing the cross section s of the node pair in which the tie-line j is locateds-kAnd representing the output power transfer distribution factor of the generator of the section s of the node k.
Specifically, the tie line constraint includes a tie line transmission power constraint, a tie line power upper and lower limit constraint, and a tie line power fluctuation range constraint. Wherein the tie line transmission power constraint can be described as:
wherein G isj-iRepresenting the power transfer profile factor of genset i to tie line j. The tie line power upper and lower bound constraints can be described as: pj,min≤Pj,t≤Pj,maxWherein P isj,minAnd Pj,maxRespectively representing the lower and upper limits of the transmission power of the tie j. The tie-line power fluctuation amplitude constraint can be described as: i Pj,t-Pj,t-1|≤ΔPjWherein P isj,t-1Representing the transmission power, Δ P, of the tie-line j during the time period t-1jRepresenting the maximum fluctuation amplitude of the transmission power of the tie line j in adjacent time periods.
Specifically, the unit operation constraints include a unit minimum startup time and a unit minimum shutdown time constraint, a unit output upper and lower limit constraint, a unit climbing constraint and a unit fixed output constraint. The minimum startup time and minimum shutdown time constraint of the unit can be described as follows:
(i-1, …, G; T-1, …, T) and
(i-1, …, G; T-1, …, T), wherein,
indicating that genset i has been on for time period t,
indicating that the generator set i has been off for a period T, Ti onIndicating minimum start-up time, T, of the generator set ii offRepresenting the genset i minimum down time. The upper and lower constraint of the output of the generator set means that the output of the generator set should be within the maximum/minimum output range, and can be described as follows:
wherein the content of the first and second substances,
and
respectively representing the maximum output and the minimum output of the generator set i in the time period t. It should be noted that the capacity constraint of the minimum ignition-required power generating unit and the self-declared operation lower limit parameter of the thermal power generating unit all day are reflected on the minimum output value setting of the unit. When the unit climbing restraint means that the generator set climbs up or down, the requirement of climbing speed is met, and the method can be described as follows: pi,t-Pi,t-1≤ΔPi upAnd Pi,t-1-Pi,t≤ΔPi dnWherein, Δ Pi up、ΔPi dnRespectively representing the maximum climbing rate and the maximum descending rate of the generator set i. The unit fixed output constraint means that a unit operates according to a given power generation plan in a specific time period, and the unit does not participate in bidding and clearing in the specific time period, and can be described as follows: p is a radical ofi,t＝Pi,tWherein p isi,tAnd the active power of the generator set i in the t period.
The constraint conditions of the electric power market clearing model can also comprise other constraints, including resource constraints such as coal supply constraint and carbon quota constraint, the constraint of a contact line external power transmission curve formed by long-term trade in provinces, the constraint of a set of safety constraint, voltage support, a set of necessary start and necessary stop required by heat supply civilians or governments, the N-1 safety constraint of main transformers, sections and lines with voltage grades of 220kV and above, and the like, wherein the other constraints can be described as follows: pi t≥B(Pi t) Wherein P isi tThe output of the generator set i in the time period t meets various boundary condition constraints of the market, B (P)i t) Representing the set of other types of boundary conditions for genset i during time period t.
In a possible implementation manner, in step S3, when the power market clearing is performed based on a preset power market clearing model, optimization software such as cplex and aim is used, a safety constraint unit combination and a safety constraint economic dispatching algorithm are used to perform optimization clearing to obtain a power market clearing result, a safety check analysis is embedded, a safety check is performed on the obtained power market clearing result to ensure physical executability of the result, and the power market clearing result finally passing through the safety check is issued and executed to guide the operation of the power system. The electricity market clearing result generally includes a transaction result, a blocking condition and electricity production information. The transaction result comprises transaction power and transaction price, the blocking condition comprises trend distribution and blocking lines, and the power production information comprises fuel consumption and carbon emission.
In summary, according to the electric power market clearing method, the declared price and the degree electric carbon cost increase value of the generator set are firstly obtained, then the declared price and the degree electric carbon cost increase value of the generator set are superposed based on the preset weight to serve as the clearing declared price of the generator set, the carbon cost is reflected in the electric power market quotation in the form of the degree electric carbon cost increase value, the influence of the carbon cost on the clearing price of the electric power market under different application scenes can be dynamically evaluated based on the changeable setting of the preset weight, and finally the clearing of the electric power market is carried out based on the preset electric power market clearing model according to the clearing declared price of the generator set to obtain the clearing result of the electric power market for guiding the operation of the electric power system. The mutual influence factors of the power market and the carbon market are considered comprehensively, and the carbon emission and the operation of the thermal power generating unit are reasonably optimized, so that the overall expenditure of the thermal power generating unit, the electricity utilization cost of power users or the carbon emission of a power system are effectively reduced, and the low-carbon transformation and resource optimization configuration of power are promoted.
Further, according to the electric power market clearing method, the optimization objective function of the electric power market clearing model comprehensively considers the operation cost, the start-stop cost, the carbon cost increment value and the connecting line power transmission cost, and meanwhile, the whole-region combined optimization clearing based on the safety constraint unit combination and the safety constraint economic dispatching algorithm is adopted to obtain the electric power market clearing result, so that the electric power market clearing method is suitable for the spot market in the region, the spot market among multiple regions, the day-ahead market, the day-in market, the real-time market and the like.
Compared with the application, the patent application CN113935855A provides a method, a system and a device for trading management of the electric power spot market, which incorporate the external environmental cost caused by carbon emission into the internal clearing and settlement process of the electric power market, take the carbon emission cost into account for market clearing, collect the carbon fund from the unit generating the carbon emission cost at the power generation side, return the carbon fund to the user side, reduce the burden of the carbon market and the carbon pricing mechanism on the user side that the electricity cost is too high, and are beneficial to the coordination and stable operation of the carbon market and the electric power market.
However, although the external environmental cost caused by carbon emission is brought into the internal clearing and settlement process of the electric power market, the method, the system and the equipment for managing the electric power spot market transaction simply bring the carbon emission cost into the unit quotation and cannot flexibly and objectively reflect the added value of the carbon emission to the electricity consumption cost of a single thermal power unit. Meanwhile, only the power generation cost is minimized, only the starting cost (carbon-containing price) and the running cost of the unit are considered, and the power transmission cost of the tie line is not considered, so that the method is only suitable for the spot market in the region and is not suitable for the cross-region spot market.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details not disclosed in the device embodiments, reference is made to the method embodiments of the invention.
Referring to fig. 3, in a further embodiment of the present invention, an electric power market clearing system is provided, and in particular, an electric power market clearing method considering carbon cost is provided, which can be used to implement the electric power market clearing method considering carbon cost.
The data acquisition module is used for acquiring the declared price and the incremental value of the electric carbon cost of the generator set; the carbon cost superposition module is used for superposing the declared price of the generator set and the carbon cost increment value of the kilowatt-hour meter according to the preset weight to obtain the clear declared price of the generator set; the clearing module is used for clearing the electric power market based on a preset electric power market clearing model according to the clearing declaration price of the generator set, and obtaining an electric power market clearing result.
In a possible implementation manner, the data obtaining module is specifically configured to: obtaining the incremental cost value C of the electric carbon of the generator set through the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, Cini,iCost of initial carbon quota acquisition for Generator set i, Cbuy,iCost, k, for carbon trading of generator set i in the carbon market1And k2Respectively corresponding electric quantity to initial carbon quota of generator set and electric quantity traded in carbon marketCoefficient of proportionality, and k1+k2＝1。
In one possible embodiment, when the power market is a regional power market, the optimization objective function of the power market clearing model is as follows:
wherein N is the total number of the generator sets, T is the total time period number, Pi,tIs the output of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i during the time period t, CC,i(Pi,t) To increase the carbon cost value of the generator set i in the time period t,
and alpha is a preset carbon cost weight coefficient, and is the start-stop cost of the generator set i in the time period t.
When the electric power market is a multi-region electric power market, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
In one possible embodiment, when the electric power market is an intra-regional electric power market, the constraints of the electric power market clearing model include at least one of system safety constraints and unit operation constraints; when the electric power market is a multi-region electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraint, unit operation constraint and tie line constraint.
All relevant contents of the steps involved in the embodiment of the electric power market clearing method can be introduced to the functional description of the functional module corresponding to the electric power market clearing system in the embodiment of the present invention, and are not described herein again.
The division of the modules in the embodiments of the present invention is schematic, and only one logical function division is provided, and in actual implementation, there may be another division manner, and in addition, each functional module in each embodiment of the present invention may be integrated in one processor, or may exist alone physically, or two or more modules are integrated in one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode.
In yet another embodiment of the present invention, a computer device is provided that includes a processor and a memory for storing a computer program comprising program instructions, the processor for executing the program instructions stored by the computer storage medium. The Processor may be a Central Processing Unit (CPU), or may be other general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable gate array (FPGA) or other Programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, etc., which is a computing core and a control core of the terminal, and is specifically adapted to load and execute one or more instructions in a computer storage medium to implement a corresponding method flow or a corresponding function; the processor of the embodiment of the invention can be used for the operation of the power market clearing method.
In yet another embodiment of the present invention, the present invention further provides a storage medium, specifically a computer-readable storage medium (Memory), which is a Memory device in a computer device and is used for storing programs and data. It is understood that the computer readable storage medium herein can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space storing an operating system of the terminal. Also, one or more instructions, which may be one or more computer programs (including program code), are stored in the memory space and are adapted to be loaded and executed by the processor. It should be noted that the computer-readable storage medium may be a high-speed RAM memory, or may be a non-volatile memory (non-volatile memory), such as at least one disk memory. One or more instructions stored in the computer-readable storage medium may be loaded and executed by a processor to perform the corresponding steps of the above embodiments with respect to the power market clearing method.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.
Claims (10)
1. A power market clearing method is characterized by comprising the following steps:
acquiring the declared price and the added value of the electric carbon cost of the generator set;
superposing the declared price of the generator set and the incremental value of the cost of the electric carbon according to the preset weight to obtain the declared price of the generator set;
and according to the clearing declaration price of the generator set, clearing the power market based on a preset power market clearing model to obtain a power market clearing result.
2. The power market clearing method of claim 1, wherein the obtaining a power carbon cost increase value for a generator set comprises:
obtaining the incremental cost value C of the electric carbon of the generator set through the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, Cini,iCost of initial carbon quota acquisition for Generator set i, Cbuy,iCost, k, for the purchase of generator set i in the carbon market1And k2Are respectively the proportional coefficients of the electric quantity corresponding to the initial carbon quota of the generator set and the carbon market trading electric quantity, and k1+k2＝1。
3. The electric power market clearing method according to claim 1, wherein when the electric power market clearing is performed based on a preset electric power market clearing model:
when the electric power market is the electric power market in the region, the optimization objective function of the electric power market clearing model is as follows:
wherein N is the total number of the generator sets, T is the total time period number, Pi,tIs the output of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i during the time period t, CC,i(Pi,t) To increase the carbon cost value of the generator set i in the time period t,
setting alpha as a preset carbon cost weight coefficient for the start-stop cost of the generator set i in a time period t;
when the electric power market is a multi-region electric power market, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
4. The electric power market clearing method according to claim 1, wherein when the electric power market clearing is performed based on a preset electric power market clearing model:
when the electric power market is the regional electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraint and unit operation constraint;
when the power market is a multi-region power market, the constraints of the power market clearing model include at least one of system safety constraints, unit operation constraints and tie line constraints.
5. An electricity market clearing system, comprising:
the data acquisition module is used for acquiring the declared price and the incremental cost value of the electric carbon;
the carbon cost superposition module is used for superposing the declared price of the generator set and the carbon cost increment value of the kilowatt-hour meter according to the preset weight to obtain the clear declared price of the generator set;
and the clearing module is used for clearing the electric power market based on a preset electric power market clearing model according to the clearing declaration price of the generator set to obtain an electric power market clearing result.
6. The power market clearing system of claim 5, wherein the data acquisition module is specifically configured to:
obtaining the incremental cost value C of the electric carbon of the generator set through the following formulaC,i：
CC,i＝k1Cini,i+k2Cbuy,i
Wherein, Cini,iCost of initial carbon quota acquisition for Generator set i, Cbuy,iCost, k, for carbon trading of generator set i in the carbon market1And k2Are respectively proportional coefficients of the electric quantity corresponding to the initial carbon quota of the generator set and the carbon market trading electric quantity, and k1+k2＝1。
7. The power market clearing system of claim 5, wherein when the power market is a regional power market, the optimization objective function of the power market clearing model is:
wherein N is the total number of the generator sets, T is the total time period number, Pi,tIs the output of the generator set i in the time period t, Ci,t(Pi,t) For the operating cost of the generator set i during the time period t, CC,i(Pi,t) To increase the carbon cost value of the generator set i in the time period t,
setting alpha as a preset carbon cost weight coefficient for the start-stop cost of the generator set i in a time period t;
when the electric power market is a multi-region electric power market, the optimization objective function of the electric power market clearing model is as follows:
wherein, Cj,tIs the cost of power transmission for the inter-area link J over time period t, J is the total number of inter-area links.
8. The power market clearing system of claim 5, wherein when the power market is an intra-regional power market, the constraints of the power market clearing model comprise at least one of system safety constraints and unit operational constraints;
when the electric power market is a multi-region electric power market, the constraint conditions of the electric power market clearing model comprise at least one of system safety constraint, unit operation constraint and tie line constraint.
9. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, carries out the steps of the power market clearing method according to any of claims 1 to 7.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the electricity market clearing method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210278323.1A CN114693346A (en) | 2022-03-21 | 2022-03-21 | Electric power market clearing method, system, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210278323.1A CN114693346A (en) | 2022-03-21 | 2022-03-21 | Electric power market clearing method, system, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114693346A true CN114693346A (en) | 2022-07-01 |
Family
ID=82138836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210278323.1A Pending CN114693346A (en) | 2022-03-21 | 2022-03-21 | Electric power market clearing method, system, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114693346A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116128385A (en) * | 2023-04-13 | 2023-05-16 | 昆明电力交易中心有限责任公司 | Scheduling checking clearing method and device considering carbon emission constraint |
-
2022
- 2022-03-21 CN CN202210278323.1A patent/CN114693346A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116128385A (en) * | 2023-04-13 | 2023-05-16 | 昆明电力交易中心有限责任公司 | Scheduling checking clearing method and device considering carbon emission constraint |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Turvey | Interconnector economics | |
| Fan et al. | Research on an optimization model for wind power and thermal power participating in two-level power market transactions | |
| CN111950800A (en) | Method, system, equipment and readable storage medium for market clearing before electric power spot goods day | |
| CN115907927A (en) | Virtual power plant quotation auxiliary method, system, device and storage medium | |
| Hu et al. | Can the renewable power consumption guarantee mechanism help activate China's power trading market? | |
| Wu et al. | Wind power development in the Belt and Road area of Xinjiang, China: Problems and solutions | |
| Zhao et al. | A transaction case analysis of the development of generation rights trading and existing shortages in China | |
| CN114693346A (en) | Electric power market clearing method, system, equipment and storage medium | |
| CN113870029A (en) | Cross-provincial electric power spot market multi-main-body clearing method, system and computer equipment | |
| Han et al. | A low-carbon dispatch strategy for power systems considering flexible demand response and energy storage | |
| Ferrey | Restructuring a green grid: Legal challenges to accommodate new renewable energy infrastructure | |
| Kessides et al. | Current and forthcoming issues in the South African electricity sector | |
| Marquez et al. | A multiagent stochastic bi-level model for optimal integration of distributed generators | |
| Sun et al. | Development status, policy, and market mechanisms for battery energy storage in the US, China, Australia, and the UK | |
| CN114298839A (en) | Method for participating in electric power spot market quotation by marketized electric power users | |
| Graf et al. | Market performance assessment in locational markets with non-convexities | |
| Shang et al. | Grid-Side Energy Storage System Day-Ahead Bidding Strategy Based on Two-Level Decision in Spot Market | |
| Lin et al. | Bilevel optimal dispatch model for a peak regulation ancillary service in an industrial park of energy-intensive loads | |
| Lu et al. | Analysis of Clearing Market Profit in the Spot Market Under the Action of Electricity Futures Trading | |
| Huang et al. | Analysis on Market Mechanism of Demand Response and its Outlook in China | |
| CN111898789B (en) | Electric quantity clearing method, system, medium and clearing equipment based on deep learning | |
| Ma et al. | The tradable flexibility certificate market policy for flexible investment incentive | |
| Jin et al. | The International practice and enlightenment of capacity compensation mechanism | |
| Gao et al. | Research on double-tier bidding model for gas-fired units | |
| Han et al. | Analysis of peak regulation auxiliary service market under the deepening stage of the spot market construction |
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 |