CN112257926A - Energy block power trading system and clearing method based on subarea electricity price - Google Patents
Energy block power trading system and clearing method based on subarea electricity price Download PDFInfo
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Abstract
The invention relates to an energy block electric power trading system and clearing method based on partition electricity price, which comprises a parameter configuration module, a data input module, a trading clearing module and a data output module, wherein the parameter configuration module is used for setting a parameter of the energy block electric power trading system; the parameter configuration module: various parameters required for configuring the energy block electric power transaction system and the clearing method; the data input module: the system is used for inputting the declaration load and declaration price of different market subjects, different time periods and different energy blocks; the transaction clearing module: the system is used for clearing the electric power trade of the energy block according to the declaration data input and processed by the data input module, and calculating to obtain settlement prices and winning loads of different partitions and different time periods; the data output module: for outputting settlement prices of different partitions and different time periods. The invention can enable the clearing result of the electric power transaction to better accord with the electricity generation and utilization technical characteristics and the electric power transaction requirements of each market main body, and the electricity generation and utilization curve and the settlement price of the market main body are more reasonable.
Description
Technical Field
The invention belongs to the technical field of electric power transaction, and relates to an energy block electric power transaction system and a clearing method, in particular to an energy block electric power transaction system and a clearing method based on a subarea electricity price.
Background
At present, a new round of electric power system reformation formally begins in China. The improvement of the electric power system is promoted, the market-oriented trading mechanism is perfected, and the electric power system is one of key tasks of a new round of electric power system improvement. With the continuous deepening of power system innovation and the continuous expansion of power trading scale, the construction of a power market gradually changes to the exploration of the establishment of a power spot market, and at present, 8 provinces such as Guangdong, Zhejiang and Shandong start the settlement test operation of the power spot market according to the requirements of related documents of the State Federation. However, according to the settlement and commissioning situation, the existing electric power spot transaction system and the clearing method still have the following problems: firstly, thermal power generation in China is still one of the most basic and important power supply modes in China at present, but the conditions of frequent start and stop and rapid output change of the thermal power generation exist in the electric power spot market, and certain technical problems are brought to the safe and stable operation of a generator set; secondly, the current electric power spot transaction system and the current clearing method mainly consider the load condition of the next 1 day, are difficult to effectively deal with the condition that the load is suddenly changed due to factors such as holidays, weather and the like, and bring greater risks and hidden dangers to the safe and stable operation of the electric power system.
Therefore, a new electric power trading system and a clearing method are needed to solve the technical problems of the existing electric power spot trading system and the clearing method. The multi-market main bodies such as thermal power generation, hydroelectric power generation, wind power generation, photovoltaic power generation, nuclear power, energy storage, power consumers, electric vehicles, virtual power plants and the like can autonomously declare corresponding power trading demands according to the technical characteristics of power generation and utilization of the multi-market main bodies. Through the electric power transaction system and the clearing method, the clearing result of the electric power transaction is more in line with the electricity generation and utilization technical characteristics and the electric power transaction requirements of each market main body, the electricity generation and utilization curve and the settlement price of the market main body are more reasonable, and further optimized configuration of electric power resources can be realized.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an energy block power trading system and a clearing method based on a subarea power price, so that the clearing result of the power trading can better meet the power generation and utilization technical characteristics and power trading requirements of various market main bodies, and further the further optimal configuration of power resources is realized.
The invention solves the practical problem by adopting the following technical scheme:
an energy block electric power trading system based on a subarea electricity price comprises a parameter configuration module, a data input module, a trading clearing module and a data output module;
(1) the parameter configuration module: various parameters required for configuring the energy block electric power transaction system and the clearing method;
(2) the data input module: the energy block electric power transaction clearing method is used for inputting reporting loads and reporting prices of different market bodies, different time periods and different energy blocks, processing reporting data and converting the reporting data into a standardized and unified data form of the energy block electric power transaction clearing method;
(3) the transaction clearing module: the system is used for clearing the electric power trade of the energy blocks according to the declaration data input and processed by the data input module, and calculating to obtain settlement prices of different partitions and different time periods and winning loads of different market bodies, different time periods and different energy blocks;
(4) the data output module: and the system is used for outputting settlement prices of different partitions and different time periods, and bid-winning loads and settlement fees of different market bodies, different time periods and different energy blocks according to the calculation result of the trade clearing module.
Moreover, the parameter configuration module includes, but is not limited to, a basic parameter configuration module, a market entity configuration module, and an energy block configuration module;
configuring basic parameters: various basic parameters for configuring power trading and clearing, including but not limited to power system network topology, network partitions and number thereof, interconnections between network partitions and number thereof, technical parameters of network partitions and interconnections, and load transfer factors between network partitions and interconnections;
market main body configuration: various parameters for configuring market agents participating in power trading, including but not limited to, the type of power generation of the generator set, the partition in which it is located, installed capacity, maximum and minimum technical output, ramp rate, typical power generation curve, voltage class of power consumers, the partition in which it is located, typical power usage curve, stored energy, installed capacity of virtual power plants, response rate;
thirdly, energy block configuration: various parameters for configuring the energy block include, but are not limited to, upper and lower limits of declared loads and declared prices for regular, regular and flexible hours, up to the maximum number of payable bid periods that can be declared for a flexible hour.
An energy block electric power trading clearing method based on partition electricity price is applied to a trading clearing module of an energy block electric power trading system and comprises the following steps:
step 2, solving an energy block power transaction clearing model, and calculating a clearing result;
and 3, calculating settlement prices of different partitions and different time periods.
Further, the specific steps of step 1 include:
(1) optimizing variables to be bid-winning marks of conventional hours, conventional blocks and flexible hours;
according to the bid-winning rule of the energy block, the bid-winning mark in the conventional hour is a real number type variable between 0 and 1, and the bid-winning marks in the conventional block and the flexible hour are both integer type variables of 0 or 1; the bid-winning load of the market subject energy block is the product of the bid-winning mark and the declaration load, and the calculation formula is as follows:
wherein,the normal hour bid-winning load, declaration load and bid-winning mark of the market subject j are divided into partitions i in the time interval t,the normal block m of the market subject j of the partition i in the time interval t has the advantages of winning bid load, declared electric quantity, winning bid identification, starting time and ending time, dividing the time t into a winning load, a declaration load, a winning mark of a winning time period c and a winning time period of a flexible hour n of the market subject j;
(2) setting an objective function to maximize the sum of market remainders obtained by all market subjects in the clearing process of the energy block power trade, wherein the calculation formula is as follows:
wherein F is an objective function of the energy block power trade clear model,partitioning the declared prices of the conventional hour, the conventional block m and the flexible hour n of the market subject j for the time t;
(3) the constraint conditions are set as technical conditions which must be met in the process of clearing the electric power trade of the energy block, and the technical conditions comprise unit output constraint, unit climbing constraint, power balance constraint, tie line tide constraint, system rotation standby constraint, conventional hour bid-winning constraint, flexible hour bid-winning constraint and the like.
The output of the unit is constrained, the output of the unit is between the upper limit and the lower limit of the technical output, and the calculation formula is as follows:
wherein,the output of the i unit j is divided into sections for the time period t,the technical output upper limit and the technical output lower limit of the i machine set j are divided;
secondly, restraining the unit climbing, wherein the unit output in different time periods is between the upper limit and the lower limit of the climbing rate, and the calculation formula is as follows:
thirdly, power balance constraint, wherein the total power generation at different time intervals is equal to the total power consumption, and the calculation formula is as follows:
and fourthly, constraint of the tie line tide, wherein the tie line tide is not out of limit, and a calculation formula between the upper limit and the lower limit of the tie line power is as follows:
wherein,for a time period t connecting the flow of line k, hk,iFor the power transmission profile factor of partition i to tie k,the upper and lower power limits of the tie line k;
the rotation reserve constraint is that the positive and negative rotation reserve is not less than the rotation reserve capacity required by the system, and the calculation formula is as follows:
wherein min (-) is a minimum function, Pt srd、Pt srdThe reserve capacity of positive and negative rotation required by the system in the time period t;
sixthly, the normal hour bid-winning constraint is realized, the normal hour bid-winning load does not exceed the declared load, and the calculation formula is as follows:
and seventhly, flexibly winning the bid in an hour for 1 time in a plurality of winning time periods, wherein the calculation formula is as follows:
further, the specific steps of step 2 include:
(1) calculating the bid-winning permutation and combination of the conventional blocks and the flexible hours; wherein, the declaration quantity of the conventional blocks is x, and the quantity of the bid-winning permutation and combination of the conventional blocks is 2x(ii) a The reported number of the flexible hours is y, the quantity of the successful bid period of the mth flexible hour is zmThe number of winning bid permutation combinations in agility hours isThe quantity of the bid-winning permutation and combination of the conventional blocks and the flexible hours is
(2) Traversing and circulating bid-winning permutation and combination of each 1 conventional block and flexible hour, taking bid-winning marks of the conventional blocks and the flexible hours as fixed variables, solving the bid-winning capacity of the conventional hours according to the principles of 'high-low matching and cascade queuing', and recording corresponding objective function values;
(3) comparing the objective function values of all the bid-winning permutation and combination in the conventional block and the flexible hour, and the bid-winning permutation and combination in the conventional block and the flexible hour with the minimum objective function value and the bid-winning load in the conventional hour, namely the clearing result of the power transaction of the energy block.
Further, the specific steps of step 3 include:
(1) solving an energy block power transaction clearing model to obtain the normal block and flexible hour bid amount;
(2) the method comprises the steps that the normal block and flexible hour bid-winning quantity is used as a fixed variable, the normal hour bid-winning mark is used as an optimization variable, the flexible hour bid-winning constraint is not considered, the energy block power trading clearing model is solved again, and the normal hour bid-winning quantity, the power balance constraint and the lagrange multiplier of the tie line power flow constraint are obtained;
(3) calculating settlement prices of different partitions and different time periods, wherein the calculation formula is as follows:
wherein,for time t, partition i settlement price, lambdat、And the lagrange multiplier is the power balance constraint of the time period t and the upper limit and the lower limit of the tie line power flow.
The invention has the advantages and beneficial effects that:
the invention discloses an energy block electric power trading system based on a subarea electric price, which provides a module function of the energy block electric power trading system and an energy block electric power trading clearing method based on the subarea electric price, aiming at the technical problems that the existing electric power spot trading system and clearing method are difficult to effectively ensure the safe and stable operation of thermal power generation, and certain safety risk and hidden danger exist in the operation of an electric power system. The invention can enable the clearing result of the electric power transaction to better accord with the electricity generation and utilization technical characteristics and the electric power transaction requirements of each market main body, and the electricity generation and utilization curve and the settlement price of the market main body are more reasonable. The method can be applied to the actual work of provincial power market operation and management, and can realize the economic and reliable operation of a power system, the further optimized configuration of power resources and the healthy and sustainable development of the power industry.
Drawings
FIG. 1 is a flow chart of an energy block electricity trading system and a clearing method based on a partition electricity price of the present invention;
FIG. 2 is a flow chart of the present invention for solving an energy block power trade clearing model;
FIG. 3 is a flow chart of the present invention for calculating settlement prices for different partitions and for different time periods;
FIG. 4 is a schematic diagram of a power system partition of the present invention;
FIG. 5 is a graph of the total power generation after clearing of the energy block power trade of the present invention;
FIG. 6 is a graph of total power usage after clearing of the power trade of the energy block of the present invention;
fig. 7 is a schematic diagram of settlement prices of different sections and different time periods after clearing of the electric power trade of the energy block.
Detailed Description
The embodiments of the invention will be described in further detail below with reference to the accompanying drawings:
(1) the subarea electricity price of the invention refers to that the power network is divided into a plurality of subareas according to a certain rule. The market main bodies in the same subarea have the same settlement price; the market main bodies located in different subareas have different settlement prices. The electric power system is a large and complex system comprising a large number of power generation and utilization main bodies, the safety and the reliability of the electric power system can be considered simultaneously on the basis of reducing the complexity and the calculated amount of electric power transaction clearing, and the overall planning and coordination between the economy of the electric power transaction and the safety of electric power production are realized.
(2) The energy block refers to a declaration form of the load and the price of a market main body in electric power transaction, and comprises conventional hours, conventional blocks and flexible hours. The conventional hour refers to that the market body declares the load and the price of each time interval, the loads of different time intervals are mutually independent, and the bid winning load of each time interval does not exceed the load declared in the corresponding time interval; the conventional block refers to the fact that a market subject declares single electric quantity and price, starting time and ending time, the electric quantity is evenly distributed between the starting time and the ending time and is converted into load of each time period, the price of the corresponding time period is the declared price, and the load of the corresponding time period either wins the bid at the same time or does not win the bid at the same time; flexible hours refer to the market subject declaring a load and a price for a single time period, and a plurality of winning-possible time periods, the corresponding load winning at most 1 time in the plurality of winning-possible time periods.
An energy block electric power trading system based on a subarea electricity price comprises a parameter configuration module, a data input module, a trading clearing module and a data output module;
(1) the parameter configuration module: various parameters required for configuring the energy block electric power transaction system and the clearing method;
the parameter configuration module comprises but is not limited to a basic parameter configuration module, a market subject configuration module and an energy block configuration module;
configuring basic parameters: various basic parameters for configuring power trading and clearing, including but not limited to power system network topology, network partitions and their number, interconnections between network partitions and their number, technical parameters of network partitions and interconnections, load transfer factors between network partitions and interconnections, etc.
Market main body configuration: various parameters for configuring market entities involved in power trading include, but are not limited to, the type of power generation of the generator set, the partition in which it is located, installed capacity, maximum and minimum technical output, ramp rate, typical power generation curve, voltage class of power consumers, the partition in which it is located, typical power usage curve, stored energy, installed capacity of virtual power plants, response rate, etc.
Thirdly, energy block configuration: various parameters for configuring the energy block include, but are not limited to, upper and lower limits of declared loads and declared prices for regular, regular and flexible hours, the maximum number of payable time periods that can be declared for a flexible hour, and the like.
(2) The data input module: the energy block power transaction clearing method is used for inputting reporting loads and reporting prices of different market bodies, different time periods and different energy blocks, processing reporting data and converting the reporting data into a standardized and unified data form suitable for the energy block power transaction clearing method;
(3) a transaction clearing module: the energy block electric power trading clearing method is used for clearing energy block electric power trading according to declaration data input and processed by the data input module, and calculating settlement prices of different partitions and different time periods and winning loads of different market bodies and different energy blocks;
(4) a data output module: and the system is used for outputting settlement prices of different partitions and different time periods, and bid-winning loads and settlement fees of different market bodies, different time periods and different energy blocks according to the calculation result of the trade clearing module.
An energy block electric power trading clearing method based on a subarea electricity price is applied to a trading clearing module of an energy block electric power trading system, and as shown in fig. 1, the method comprises the following 3 steps:
The specific steps of the step 1 comprise:
(1) optimizing variables to be bid-winning marks of conventional hours, conventional blocks and flexible hours;
according to the bid-winning rule of the energy block, the bid-winning mark in the conventional hour is a real number type variable between 0 and 1, and the bid-winning marks in the conventional block and the flexible hour are both integer type variables of 0 or 1; the bid-winning load of the market subject energy block is the product of the bid-winning mark and the declaration load, and the calculation formula is as follows:
wherein,the normal hour bid-winning load, declaration load and bid-winning mark of the market subject j are divided into partitions i in the time interval t,the normal block m of the market subject j of the partition i in the time interval t has the advantages of winning bid load, declared electric quantity, winning bid identification, starting time and ending time, dividing the time t into a winning load, a declaration load, a winning mark of a winning time period c and a winning time period of a flexible hour n of the market subject j;
(2) setting an objective function to maximize the sum of market remainders obtained by all market subjects in the clearing process of the energy block power trade, wherein the calculation formula is as follows:
wherein F is an objective function of the energy block power trade clear model,partitioning the regular hour, regular block m, Flexible hour of the i market subject j for a time period tn declared price;
(3) the constraint conditions are set as technical conditions which must be met in the process of clearing the electric power trade of the energy block, and the technical conditions comprise unit output constraint, unit climbing constraint, power balance constraint, tie line tide constraint, system rotation standby constraint, conventional hour bid-winning constraint, flexible hour bid-winning constraint and the like.
The output of the unit is constrained, the output of the unit is between the upper limit and the lower limit of the technical output, and the calculation formula is as follows:
wherein,the output of the i unit j is divided into sections for the time period t,the technical output upper limit and the technical output lower limit of the i machine set j are divided;
secondly, restraining the unit climbing, wherein the unit output in different time periods is between the upper limit and the lower limit of the climbing rate, and the calculation formula is as follows:
thirdly, power balance constraint, wherein the total power generation at different time intervals is equal to the total power consumption, and the calculation formula is as follows:
and fourthly, constraint of the tie line tide, wherein the tie line tide is not out of limit, and a calculation formula between the upper limit and the lower limit of the tie line power is as follows:
wherein,for a time period t connecting the flow of line k, hk,iFor the power transmission profile factor of partition i to tie k,the upper and lower power limits of the tie line k;
the rotation reserve constraint is that the positive and negative rotation reserve is not less than the rotation reserve capacity required by the system, and the calculation formula is as follows:
wherein min (-) is a minimum function, Pt srd、Pt srdThe reserve capacity of positive and negative rotation required by the system in the time period t;
sixthly, the normal hour bid-winning constraint is realized, the normal hour bid-winning load does not exceed the declared load, and the calculation formula is as follows:
and seventhly, flexibly winning the bid in an hour for 1 time in a plurality of winning time periods, wherein the calculation formula is as follows:
and 2, solving an energy block power transaction clearing model, and calculating a clearing result.
As shown in fig. 2, the specific steps of step 2 include:
(1) calculating the bid-winning permutation and combination of the conventional blocks and the flexible hours; wherein, the declaration quantity of the conventional blocks is x, and the quantity of the bid-winning permutation and combination of the conventional blocks is 2x(ii) a The reported number of the flexible hours is y, the quantity of the successful bid period of the mth flexible hour is zmThe number of winning bid permutation combinations in agility hours isThe quantity of the bid-winning permutation and combination of the conventional blocks and the flexible hours is
(2) Traversing and circulating bid-winning permutation and combination of each 1 conventional block and flexible hour, taking bid-winning marks of the conventional blocks and the flexible hours as fixed variables, solving the bid-winning capacity of the conventional hours according to the principles of 'high-low matching and cascade queuing', and recording corresponding objective function values;
(3) comparing the objective function values of all the bid-winning permutation and combination in the conventional block and the flexible hour, and the bid-winning permutation and combination in the conventional block and the flexible hour with the minimum objective function value and the bid-winning load in the conventional hour, namely the clearing result of the power transaction of the energy block.
And 3, calculating settlement prices of different partitions and different time periods.
As shown in fig. 3, the specific steps of step 3 include:
(1) and solving the energy block power trading clearing model to obtain the normal block and flexible hour bid amount.
(2) And (3) taking the normal block and flexible hour bid amount as fixed variables, taking the normal hour bid mark as an optimization variable, and solving the energy block power trade clearing model again without considering the flexible hour bid amount restriction to obtain the normal hour bid amount, the power balance restriction and the lagrange multiplier of the tie line power flow restriction.
(3) Calculating settlement prices of different partitions and different time periods, wherein the calculation formula is as follows:
wherein,for time t, partition i settlement price, lambdat、And the lagrange multiplier is the power balance constraint of the time period t and the upper limit and the lower limit of the tie line power flow.
The invention is further described below with reference to specific embodiments:
the rationality and effectiveness of the invention is illustrated by taking a simple power system of 5 generator sets and 5 power consumers as an example. As shown in fig. 4, the power system is divided into 5 partitions, 6 tie lines are arranged between the 5 partitions, and the technical parameters of the power system partitions and the tie lines are shown in tables 1 and 2.
TABLE 1 technical parameters of Power System zoning
Numbering | Type (B) | Conductance of electricity | Electric sodium | Reference voltage | Maximum | Minimum voltage | |
1 | 2 | 1 | 1 | 220 | 1.1 | 0.9 | |
2 | 1 | 0 | 1 | 220 | 1.1 | 0.9 | |
3 | 2 | 0 | 1 | 220 | 1.1 | 0.9 | |
4 | 3 | 0 | 1 | 220 | 1.1 | 0.9 | |
5 | 2 | 1 | 1 | 220 | 1.1 | 0.9 |
TABLE 2 technical parameters of the junctor
Numbering | Starting node | Termination node | Resistance (RC) | Reactance | Electric | Power limit | |
1 | 1 | 2 | 0.00281 | 0.0281 | 0.00712 | 1200 | |
2 | 1 | 4 | 0.00304 | 0.0304 | 0.00658 | 500 | |
3 | 1 | 5 | 0.00064 | 0.0064 | 0.03126 | 500 | |
4 | 2 | 3 | 0.00108 | 0.0108 | 0.01852 | 800 | |
5 | 3 | 4 | 0.00297 | 0.0297 | 0.00674 | 800 |
The technical parameters of the generator set are shown in table 3.
TABLE 3 technical parameters of the generator set
Numbering | In the sub-area | Type of electricity generation | Installed capacity | Maximum technical output | Minimum technical output | Rate of climbing |
1 | 1 | Thermal power generation | 300×2 | 600 | 150 | 1.5% |
2 | 1 | Thermal power generation | 600×2 | 1200 | 300 | 1.5% |
3 | 3 | Thermal power generation | 1000×2 | 2000 | 500 | 1.5% |
4 | 4 | Nuclear power | 900×2 | 1800 | 450 | 0.5% |
5 | 5 | Gas power generation | 300 | 300 | 75 | 3.0% |
And (4) reporting energy blocks by different market main bodies according to technical parameters, power generation and utilization load curves and power trading requirements of the market main bodies.
As shown in fig. 5, 6 and 7, according to the energy block electricity trading system and clearing method based on the partitioned electricity prices of the present invention, the total electricity generation curve and the total electricity utilization curve after clearing the energy block electricity trading are calculated, and the settlement prices of different partitions and different time periods are obtained.
As shown in table 3, under the two methods of clearing the electric power spot transaction and clearing the electric power transaction of the energy block based on the section electricity price, the safety and economy of the electric power system, the safe and smooth operation condition of the generator set, and the change condition of the unit electricity cost of the electric power user.
TABLE 3 two electric power trade clearance comparison
The result shows that compared with the electric power spot transaction system and the clearing method, the energy block electric power transaction system and the clearing method based on the subarea electricity price can enable the clearing result of the electric power transaction to better accord with the electricity generation and utilization technical characteristics and the electric power transaction requirements of each market main body, ensure the safe and stable operation of the generator set, improve the safe and economical efficiency of the electric power system, and realize the economic and reliable operation of the electric power system and the further optimized configuration of the electric power resource.
It should be emphasized that the examples described herein are illustrative and not restrictive, and thus the present invention includes, but is not limited to, those examples described in this detailed description, as well as other embodiments that can be derived from the teachings of the present invention by those skilled in the art and that are within the scope of the present invention.
Claims (6)
1. An energy block electric power trading system based on a subarea electricity price is characterized in that: the system comprises a parameter configuration module, a data input module, a transaction clearing module and a data output module;
(1) the parameter configuration module: various parameters required for configuring the energy block electric power transaction system and the clearing method;
(2) the data input module: the energy block electric power transaction clearing method is used for inputting reporting loads and reporting prices of different market bodies, different time periods and different energy blocks, processing reporting data and converting the reporting data into a standardized and unified data form of the energy block electric power transaction clearing method;
(3) the transaction clearing module: the system is used for clearing the electric power trade of the energy blocks according to the declaration data input and processed by the data input module, and calculating to obtain settlement prices of different partitions and different time periods and winning loads of different market bodies, different time periods and different energy blocks;
(4) the data output module: and the system is used for outputting settlement prices of different partitions and different time periods, and bid-winning loads and settlement fees of different market bodies, different time periods and different energy blocks according to the calculation result of the trade clearing module.
2. The energy block electricity trading system based on the zoned electricity prices of claim 1, characterized in that: the parameter configuration module comprises a basic parameter configuration module, a market main body configuration module and an energy block configuration module;
configuring basic parameters: the system comprises a data processing module, a data processing module and a data processing module, wherein the data processing module is used for configuring various basic parameters related to electric power transaction and clearing, including a network topology structure of an electric power system, network partitions and the number of the network partitions, tie lines between the network partitions and the number of the tie lines, technical parameters of the network partitions and the tie lines, and load transfer factors between the network partitions and the tie lines;
market main body configuration: the system comprises a plurality of market main bodies and a plurality of power generation units, wherein the market main bodies are used for configuring various parameters of the market main bodies participating in power trading, and the parameters comprise the power generation type of a power generation unit, the partition where the power generation unit is located, the installed capacity, the maximum and minimum technical output, the climbing rate, a typical power generation curve, the voltage grade of a power user, the partition where the power user is located, a typical power utilization curve, energy storage, the installed capacity of a virtual;
thirdly, energy block configuration: and various parameters for configuring the energy block comprise reporting loads and upper and lower limits of reporting prices of conventional hours, conventional blocks and flexible hours, and the maximum number of the invocable winning time periods in the flexible hours can be reported.
3. An energy block electric power trading clearing method based on subarea electricity price is applied to a trading clearing module of an energy block electric power trading system based on subarea electricity price, and comprises the following steps:
step 1, setting optimization variables, objective functions and constraint conditions of an energy block power trade clear model according to declaration data processed by a data input module of an energy block power trade system;
step 2, solving an energy block power transaction clearing model, and calculating a clearing result;
and 3, calculating settlement prices of different partitions and different time periods.
4. The method for clearing energy block electric power trading based on the subarea electricity price according to claim 3, characterized by comprising the following steps: the specific steps of the step 1 comprise:
(1) optimizing variables to be bid-winning marks of conventional hours, conventional blocks and flexible hours;
according to the bid-winning rule of the energy block, the bid-winning mark in the conventional hour is a real number type variable between 0 and 1, and the bid-winning marks in the conventional block and the flexible hour are both integer type variables of 0 or 1; the bid-winning load of the market subject energy block is the product of the bid-winning mark and the declaration load, and the calculation formula is as follows:
wherein,the normal hour bid-winning load, declaration load and bid-winning mark of the market subject j are divided into partitions i in the time interval t,the normal block m of the market subject j of the partition i in the time interval t has the advantages of winning bid load, declared electric quantity, winning bid identification, starting time and ending time, partition i market subject j for time t flexible hour n bid load, declaration load, available bidThe successful bid identification and the successful bid time period of the time period c;
(2) setting an objective function to maximize the sum of market remainders obtained by all market subjects in the clearing process of the energy block power trade, wherein the calculation formula is as follows:
wherein F is an objective function of the energy block power trade clear model,partitioning the declared prices of the conventional hour, the conventional block m and the flexible hour n of the market subject j for the time t;
(3) setting constraint conditions as technical conditions which must be met in the process of clearing out the electric power trade of the energy block, wherein the technical conditions comprise unit output constraint, unit climbing constraint, power balance constraint, tie line tide constraint, system rotation standby constraint, conventional hour bid-winning constraint and flexible hour bid-winning constraint:
the output of the unit is constrained, the output of the unit is between the upper limit and the lower limit of the technical output, and the calculation formula is as follows:
wherein,the output of the i unit j is divided into sections for the time period t,the technical output upper limit and the technical output lower limit of the i machine set j are divided;
secondly, restraining the unit climbing, wherein the unit output in different time periods is between the upper limit and the lower limit of the climbing rate, and the calculation formula is as follows:
thirdly, power balance constraint, wherein the total power generation at different time intervals is equal to the total power consumption, and the calculation formula is as follows:
and fourthly, constraint of the tie line tide, wherein the tie line tide is not out of limit, and a calculation formula between the upper limit and the lower limit of the tie line power is as follows:
wherein,for a time period t connecting the flow of line k, hk,iFor the power transmission profile factor of partition i to tie k,the upper and lower power limits of the tie line k;
the rotation reserve constraint is that the positive and negative rotation reserve is not less than the rotation reserve capacity required by the system, and the calculation formula is as follows:
wherein min (-) is a minimum function, Pt srd、Pt srdThe reserve capacity of positive and negative rotation required by the system in the time period t;
sixthly, the normal hour bid-winning constraint is realized, the normal hour bid-winning load does not exceed the declared load, and the calculation formula is as follows:
and seventhly, flexibly winning the bid in an hour for 1 time in a plurality of winning time periods, wherein the calculation formula is as follows:
5. the method for clearing energy block electric power trading based on the subarea electricity price according to claim 3, characterized by comprising the following steps: the specific steps of the step 2 comprise:
(1) calculating the bid-winning permutation and combination of the conventional blocks and the flexible hours; wherein, the declaration quantity of the conventional blocks is x, and the quantity of the bid-winning permutation and combination of the conventional blocks is 2x(ii) a The reported number of the flexible hours is y, the quantity of the successful bid period of the mth flexible hour is zmThe number of winning bid permutation combinations in agility hours isThe quantity of the bid-winning permutation and combination of the conventional blocks and the flexible hours is
(2) Traversing and circulating bid-winning permutation and combination of each 1 conventional block and flexible hour, taking bid-winning marks of the conventional blocks and the flexible hours as fixed variables, solving the bid-winning capacity of the conventional hours according to the principles of 'high-low matching and cascade queuing', and recording corresponding objective function values;
(3) comparing the objective function values of all the bid-winning permutation and combination in the conventional block and the flexible hour, and the bid-winning permutation and combination in the conventional block and the flexible hour with the minimum objective function value and the bid-winning load in the conventional hour, namely the clearing result of the power transaction of the energy block.
6. The method for clearing energy block electric power trading based on the subarea electricity price according to claim 3, characterized by comprising the following steps: the specific steps of the step 3 comprise:
(1) solving an energy block power transaction clearing model to obtain the normal block and flexible hour bid amount;
(2) the method comprises the steps that the normal block and flexible hour bid-winning quantity is used as a fixed variable, the normal hour bid-winning mark is used as an optimization variable, the flexible hour bid-winning constraint is not considered, the energy block power trading clearing model is solved again, and the normal hour bid-winning quantity, the power balance constraint and the lagrange multiplier of the tie line power flow constraint are obtained;
(3) calculating settlement prices of different partitions and different time periods, wherein the calculation formula is as follows:
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112257945A (en) * | 2020-10-29 | 2021-01-22 | 江苏电力交易中心有限公司 | Power clearing automatic optimization method and system based on energy storage users |
CN112990983A (en) * | 2021-04-15 | 2021-06-18 | 国网天津市电力公司 | Electric power spot market energy block identification method |
CN113077284A (en) * | 2021-04-02 | 2021-07-06 | 国网福建省电力有限公司 | Clearing method of improved block trading market considering complex order types |
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CN114757560A (en) * | 2022-04-27 | 2022-07-15 | 国网天津市电力公司 | Power transaction clearing method and device responding to load peak regulation demand |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016037303A1 (en) * | 2014-09-09 | 2016-03-17 | 国家电网公司 | Evaluation method for online accommodating capacity of new energy power generation |
CN108695851A (en) * | 2018-06-28 | 2018-10-23 | 国网湖南省电力有限公司 | A kind of generation optimization dispatching method based on overloaded partition electricity price |
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 |
CN110310173A (en) * | 2019-06-11 | 2019-10-08 | 上海电力学院 | A kind of renewable energy participate in long-term electricity transaction power energy allocation method |
CN111461816A (en) * | 2020-03-19 | 2020-07-28 | 广州电力交易中心有限责任公司 | Regional market subject one-stage bidding method and device and storage medium |
CN111754299A (en) * | 2020-06-05 | 2020-10-09 | 华北电力大学 | Competitive bidding transaction system and method for multi-element main body flexible energy blocks in power market |
-
2020
- 2020-10-22 CN CN202011137948.3A patent/CN112257926B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2016037303A1 (en) * | 2014-09-09 | 2016-03-17 | 国家电网公司 | Evaluation method for online accommodating capacity of new energy power generation |
CN108695851A (en) * | 2018-06-28 | 2018-10-23 | 国网湖南省电力有限公司 | A kind of generation optimization dispatching method based on overloaded partition electricity price |
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 |
CN110310173A (en) * | 2019-06-11 | 2019-10-08 | 上海电力学院 | A kind of renewable energy participate in long-term electricity transaction power energy allocation method |
CN111461816A (en) * | 2020-03-19 | 2020-07-28 | 广州电力交易中心有限责任公司 | Regional market subject one-stage bidding method and device and storage medium |
CN111754299A (en) * | 2020-06-05 | 2020-10-09 | 华北电力大学 | Competitive bidding transaction system and method for multi-element main body flexible energy blocks in power market |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112257945A (en) * | 2020-10-29 | 2021-01-22 | 江苏电力交易中心有限公司 | Power clearing automatic optimization method and system based on energy storage users |
CN113077284A (en) * | 2021-04-02 | 2021-07-06 | 国网福建省电力有限公司 | Clearing method of improved block trading market considering complex order types |
CN112990983A (en) * | 2021-04-15 | 2021-06-18 | 国网天津市电力公司 | Electric power spot market energy block identification method |
CN113344636A (en) * | 2021-06-28 | 2021-09-03 | 中国电力科学研究院有限公司 | Method, system, equipment and storage medium for clearing power capacity market partition |
CN113344636B (en) * | 2021-06-28 | 2024-05-24 | 中国电力科学研究院有限公司 | Method, system, equipment and storage medium for clearing power capacity market partition |
CN114757560A (en) * | 2022-04-27 | 2022-07-15 | 国网天津市电力公司 | Power transaction clearing method and device responding to load peak regulation demand |
CN114757560B (en) * | 2022-04-27 | 2024-04-30 | 国网天津市电力公司 | Power transaction clearing method and device for responding to load peak shaving demands |
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