A method for decomposing medium and long term contract electricity considering carbon emission balance

Abstract

The application discloses a kind of considering carbon emission balance's medium and long-term contract electric quantity decomposition method, belong to power system dispatching technical field.The following steps are included: considering the balance of unit contract completion progress and carbon emission balance, build annual contract electric quantity decomposition model and decompose unit annual contract electric quantity to month;Considering the consistency of contract completion progress of same type unit, build monthly contract electric quantity decomposition model and decompose unit monthly contract electric quantity to each day;Based on the principle of typical load curve, calculate the contract electric quantity decomposition result of unit different time period according to load proportion.The application proposes a kind of considering carbon emission balance's medium and long-term contract electric quantity decomposition method, is favorable to according to carbon emission requirement reasonably, effectively decompose medium and long-term electric quantity into the output curve of each unit, avoid the cycle correction of contract electric quantity during overhaul, provide decision support for market operation organization to decompose medium and long-term contract electric quantity, facilitate electric power market settlement and power system dispatching execution.

Description

Technical Field

[0001] This invention relates to the field of power system dispatching technology, and more specifically, to a method for decomposing medium- and long-term contracted electricity volumes that takes into account carbon emission balancing. Background Technology

[0002] With the further development and continuous advancement of China's electricity spot market, the future electricity market will be a complex, multi-tiered market with multiple trading instruments and interconnected trading cycles. Before real-time operation, contracts signed in the medium- and long-term markets require both buyers and sellers to decompose the contracted electricity volume into electricity curves and submit them to the dispatching agency. After passing safety constraint verification, the contracts are physically executed, and adjustments are made in the spot market. The monthly carbon emissions of all power generation companies are related to the contracted electricity volume decomposition results. Simultaneously, carbon emission restrictions are leading to a continuous decrease in the average annual utilization hours of thermal power units, thus affecting the supply and demand situation and clearing price of the electricity market, as well as the power system dispatching results. Therefore, how to optimize contracted electricity volume decomposition by considering the carbon emissions of different types of power generation companies has become a major problem that urgently needs to be solved in the electricity market that adopts the physical execution of medium- and long-term contracts. Summary of the Invention

[0003] A method for decomposing medium- and long-term contracted electricity volume considering carbon emission balance is proposed. First, considering the balance of unit contract completion progress and carbon emission balance, an annual contracted electricity volume decomposition model is constructed to decompose the annual contracted electricity volume of units into monthly amounts. Then, considering the consistency of contract completion progress for units of the same type, a monthly contracted electricity volume decomposition model is constructed to decompose the monthly contracted electricity volume of units into daily amounts. Finally, based on the principle of typical load curves, the contracted electricity volume decomposition results of units at different time periods are calculated according to load proportions. This invention proposes a method for decomposing medium- and long-term contracted electricity volume considering carbon emission balance, which is beneficial for rationally and effectively decomposing medium- and long-term electricity volume into the output curves of each unit according to carbon emission requirements, avoiding cyclical correction of contracted electricity volume during maintenance periods, providing decision support for market operators in decomposing medium- and long-term contracted electricity volume, and facilitating electricity market settlement and power system dispatch execution.

[0004] The technical solution adopted by this invention to solve its technical problem is:

[0005] A method for allocating medium- to long-term contract electricity volume considering carbon emission balancing includes the following steps:

[0006] Step 1: Considering the balance of unit contract completion progress and carbon emission balance, construct an annual contract power decomposition model to decompose the annual contract power of the units into months;

[0007] Step 2: Considering the consistency of contract completion progress for units of the same type, construct a monthly contract electricity decomposition model to decompose the monthly contract electricity of the units into daily amounts;

[0008] Step 3: Based on the principle of typical load curves, calculate the contracted electricity volume of the computer group for different time periods according to the load ratio.

[0009] In the above technical solution, further, step 1, considering the balance of unit contract completion progress and carbon emission balance, constructs an annual contract electricity decomposition model to decompose the unit's annual contract electricity into months. The specific implementation method is as follows:

[0010] The annual contracted electricity volume decomposition model breaks down the annual contracted electricity volume of each generating unit into monthly amounts. During the decomposition process, it considers the balancing of contract completion progress and carbon emission balance between generating units, and has two objective functions. The first objective function aims to balance the monthly contract completion progress of units of the same type as much as possible, which can be expressed as:

[0011]

[0012]

[0013]

[0014]

[0015]

[0016] In the formula, M represents the total number of months in a year, M = 12; I c and J g The numbers are respectively the number of coal-fired power units and gas-fired power units; and The contract completion rates for coal-fired power unit i and gas-fired power unit j up to month m are respectively. and These represent the average contract completion rates for all coal-fired power units and all gas-fired power units in month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, allocated to the k-th month, respectively. and These represent the annual contracted electricity volumes for coal-fired power unit i and gas-fired power unit j, respectively.

[0017] Let the annual monthly carbon emission target vector set by the trading center be N = (n1, n2, ..., n M ),satisfy In practice, allocation can be based on monthly load proportions or evenly distributed over 12 months. The second objective function of the annual contract breakdown is to make monthly carbon emissions as close as possible to the target proportion set by the trading center, which can be expressed as:

[0018]

[0019]

[0020]

[0021] In the formula, C m C represents the total carbon emissions of all units in month m; y This represents the total carbon emissions corresponding to the annual contracted electricity volume for all generating units; M c,i and M g,i , respectively, are the carbon emission coefficients of coal-fired power unit i and gas-fired power unit j, representing the carbon emissions per unit of electricity generated; and The electricity generated by coal-fired power unit i and gas-fired power unit j is allocated to the m-th month, respectively.

[0022] The constraints of the model include:

[0023] 1) Total Contract Amount Constraint

[0024]

[0025]

[0026] 2) Decomposable energy constraints

[0027]

[0028] In the formula, and These represent the minimum and maximum contractable electricity quantities for month m, respectively.

[0029] 3) Minimum / maximum power generation constraints of the unit

[0030]

[0031]

[0032] In the formula, and These represent the minimum and maximum power generation of coal-fired power unit i in month m, respectively. and These represent the minimum and maximum power generation of the gas turbine unit in month m, respectively. The maximum power generation may vary depending on the unit's maintenance schedule.

[0033] Furthermore, step 2 considers the consistency of contract completion progress for units of the same type, and constructs a monthly contract electricity decomposition model to decompose the monthly contract electricity of the units into daily amounts. The specific implementation method is as follows:

[0034] The monthly contracted electricity volume decomposition model breaks down the monthly contracted electricity volume of each generating unit into daily amounts. During the decomposition process, the consistency of contract completion progress for units of the same type is considered. Its objective function is:

[0035]

[0036]

[0037]

[0038]

[0039]

[0040] In the formula, D m Let m be the number of days in month m. and The contract completion rates for coal-fired power unit i and gas-fired power unit j on day d of month m are respectively. and These represent the average contract completion rates of all coal-fired power units and all gas-fired power units on day d of month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, respectively, from month m to day d.

[0041] The constraints of the model include:

[0042] 1) Total Contract Amount Constraint

[0043]

[0044]

[0045] 2) Decomposable energy constraints

[0046]

[0047] In the formula, and These represent the minimum and maximum contractable electricity decomposable on day d of month m, respectively.

[0048] 3) Minimum / maximum power generation constraints of the unit

[0049]

[0050]

[0051] In the formula, and These are the minimum and maximum power generation of coal-fired power unit i on day d of month m, respectively; and These represent the minimum and maximum power generation of the gas turbine unit on day d of month m, respectively. The maximum power generation may vary depending on the unit's maintenance schedule.

[0052] Furthermore, step 3, based on the principle of typical load curves, calculates the contracted electricity volume of the computer group for different time periods according to the load ratio. The specific implementation method is as follows:

[0053] Daily contracted electricity volume decomposition is based on the principle of typical load curves. The daily contracted electricity volume for coal-fired and gas-fired turbines is decomposed according to the proportion of electricity consumption in each time period to the typical daily electricity consumption in the typical load curve, thus obtaining the contracted electricity volume for each unit in different time periods.

[0054]

[0055]

[0056] In the formula, and β represents the electricity generated by coal-fired power unit i and gas-fired power unit j on day d of month m, allocated to the time period t. t The percentage of electricity consumption during period t to the typical daily electricity consumption is calculated from the typical daily load curve.

[0057] The beneficial effects of this invention are:

[0058] This invention, when decomposing annual contracts for various types of generating units, including thermal power units and gas turbine units, takes into account carbon emission requirements and unit maintenance status. It optimizes the monthly output of units through two objective functions: consistency in contract completion progress for units of the same type and carbon emission balance. This is further decomposed into daily and time-period planned output. This approach helps thermal power units schedule planned output for specific time periods under carbon emission policy constraints, providing a reference for power dispatching agencies to rationally allocate output for different types of units during the day-ahead phase and reduce uncertainty. It also facilitates the balancing of supply and demand in the spot market during periods of physical execution of medium- and long-term contracts. This method is easy to operate and provides a strategic reference for market operators to decompose medium- and long-term contract curves, possessing practical significance for achieving coordinated operation of medium- and long-term contracts and spot market operations, as well as power system dispatching. Attached Figure Description

[0059] Figure 1 This is a schematic diagram of the overall process of the present invention.

[0060] Figure 2 This is the breakdown of the annual contracted electricity volume.

[0061] Figure 3 This is the breakdown result of a typical monthly contract electricity volume.

[0062] Figure 4 This shows the breakdown of contracted electricity volumes for different time periods on a typical day. Detailed Implementation

[0063] The accompanying drawings are for illustrative purposes only and should not be construed as limiting this patent; it is understandable that some well-known structures and their descriptions may be omitted in the drawings for those skilled in the art. The positional relationships described in the drawings are for illustrative purposes only and should not be construed as limiting this patent.

[0064] like Figure 1 This is a schematic diagram of the overall process of the present invention. The present invention provides a method for decomposing medium- and long-term contract electricity based on carbon emission balancing, the implementation process of which includes the following steps:

[0065] Step 1: Considering the balance between the completion schedule of unit contracts and the balance of carbon emissions, construct an annual contracted electricity volume decomposition model to break down the annual contracted electricity volume of the units into months. The specific implementation method of this step is as follows:

[0066] The annual contracted electricity volume decomposition model breaks down the annual contracted electricity volume of each generating unit into monthly amounts. During the decomposition process, it considers the balancing of contract completion progress and carbon emission balance between generating units, and has two objective functions. The first objective function aims to balance the monthly contract completion progress of units of the same type as much as possible, which can be expressed as:

[0067]

[0068]

[0069]

[0070]

[0071]

[0072] In the formula, M represents the total number of months in a year, M = 12; I c and J g The numbers are respectively the number of coal-fired power units and gas-fired power units; and The contract completion rates for coal-fired power unit i and gas-fired power unit j up to month m are respectively. and These represent the average contract completion rates for all coal-fired power units and all gas-fired power units in month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, allocated to the k-th month, respectively. and These represent the annual contracted electricity volumes for coal-fired power unit i and gas-fired power unit j, respectively.

[0073] Let the annual monthly carbon emission target vector set by the trading center be N = (n1, n2, ..., n M ),satisfy In practice, allocation can be based on monthly load proportions or evenly distributed over 12 months. The second objective function of the annual contract breakdown is to make monthly carbon emissions as close as possible to the target proportion set by the trading center, which can be expressed as:

[0074]

[0075]

[0076]

[0077] In the formula, C m C represents the total carbon emissions of all units in month m; y This represents the total carbon emissions corresponding to the annual contracted electricity volume for all generating units; M c,i and M g,i , respectively, are the carbon emission coefficients of coal-fired power unit i and gas-fired power unit j, representing the carbon emissions per unit of electricity generated; and The electricity generated by coal-fired power unit i and gas-fired power unit j is allocated to the m-th month, respectively.

[0078] The constraints of the model include:

[0079] 1) Total Contract Amount Constraint

[0080]

[0081]

[0082] 2) Decomposable energy constraints

[0083]

[0084] In the formula, and These represent the minimum and maximum contractable electricity quantities for month m, respectively.

[0085] 3) Minimum / maximum power generation constraints of the unit

[0086]

[0087]

[0088] In the formula, and These represent the minimum and maximum power generation of coal-fired power unit i in month m, respectively. and These represent the minimum and maximum power generation of the gas turbine unit in month m, respectively. The maximum power generation may vary depending on the unit's maintenance schedule.

[0089] Step 2: Considering the consistency of contract completion progress for similar generating units, construct a monthly contract electricity decomposition model to break down the monthly contract electricity for each generating unit into daily amounts. The specific implementation method for this step is as follows:

[0090] The monthly contracted electricity volume decomposition model breaks down the monthly contracted electricity volume of each generating unit into daily amounts. During the decomposition process, the consistency of contract completion progress for units of the same type is considered. Its objective function is:

[0091]

[0092]

[0093]

[0094]

[0095]

[0096] In the formula, D m Let m be the number of days in month m. and The contract completion rates for coal-fired power unit i and gas-fired power unit j on day d of month m are respectively. and These represent the average contract completion rates of all coal-fired power units and all gas-fired power units on day d of month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, respectively, from month m to day d.

[0097] The constraints of the model include:

[0098] 1) Total Contract Amount Constraint

[0099]

[0100]

[0101] 2) Decomposable energy constraints

[0102]

[0103] In the formula, and These represent the minimum and maximum contractable electricity decomposable on day d of month m, respectively.

[0104] 3) Minimum / maximum power generation constraints of the unit

[0105]

[0106]

[0107] In the formula, and These are the minimum and maximum power generation of coal-fired power unit i on day d of month m, respectively; and These represent the minimum and maximum power generation of the gas turbine unit on day d of month m, respectively. The maximum power generation may vary depending on the unit's maintenance schedule.

[0108] Step 3: Based on the principle of typical load curves, decompose the contracted electricity volume of the computer group for different time periods according to the load ratio. The specific implementation method of this step is as follows:

[0109] Daily contracted electricity volume decomposition is based on the principle of typical load curves. The daily contracted electricity volume for coal-fired and gas-fired turbines is decomposed according to the proportion of electricity consumption in each time period to the typical daily electricity consumption in the typical load curve, thus obtaining the contracted electricity volume for each unit in different time periods.

[0110]

[0111]

[0112] In the formula, and β represents the electricity generated by coal-fired power unit i and gas-fired power unit j on day d of month m, allocated to the time period t. t The percentage of electricity consumption during period t to the typical daily electricity consumption is calculated from the typical daily load curve.

[0113] The present invention will be further described below with reference to specific embodiments.

[0114] Assume there are three coal-fired power units with power outputs of 1 million kW, 600,000 kW, and 300,000 kW respectively, and two gas-fired power units with power outputs of 700,000 kW and 400,000 kW respectively. Their relevant parameters are shown in Table 1.

[0115] Table 1. Unit Combined Electricity Consumption and Carbon Emission Coefficient

[0116] Unit number Annual contracted electricity volume (100 million kWh) Carbon emission coefficient Coal Machinery 1 25 4 Coal Machinery 2 13 5 Coal Machinery 3 7 6 Qi mechanism 1 14 2 Qi 2 7 3

[0117] The breakdown of annual contracted electricity volume for each generating unit is attached. Figure 2 As shown, the monthly ratio of the decomposed electricity from the three coal-fired power units remains similar, and the monthly decomposed electricity from the two gas-fired power units also follows this pattern. This indicates that the proposed annual contract electricity decomposition can ensure the goal of balanced progress in the contract completion of units of the same type. The carbon emission target set in this example is balanced each month. Therefore, in July and August, the two months with higher total electricity consumption, the two gas-fired power units decompose more electricity, reducing the power generation of the coal-fired power units, thus keeping the carbon emissions in these two months as low as possible and consistent with other months.

[0118] Taking the January contract electricity breakdown as an example, the monthly contract electricity breakdown is analyzed as follows: Figure 3 As shown, since coal-fired power unit 3 (units 5-14) was under maintenance, a significant amount of power generation was allocated to coal-fired power unit 3 before and after the maintenance period (units 3-4 and 15-16) to ensure a balanced contract completion schedule. Similarly, steam turbine 1 (units 21-27) was under maintenance, and a significant amount of power generation was allocated to steam turbine 1 on the 20th and 28th. This demonstrates that the proposed monthly contract power generation model can consider the impact of the maintenance plan and reasonably allocate the power generation of each unit to ensure the consistency of the contract completion schedule of units of the same type as much as possible.

[0119] The analysis of daily contract volume breakdown is based on the contract volume breakdown on January 1st, as shown in the attached figure. Figure 4 As shown. Since the daily contract power decomposition model is based on the typical load curve principle, the resulting total contract power curve is consistent with the shape of the typical load curve, and the contract power curve of each unit is also consistent with the typical load curve.

[0120] Obviously, the above embodiments are merely examples for clearly illustrating the present invention and are not intended to limit the implementation of the present invention. Those skilled in the art can make other variations or modifications based on the above description. It is neither necessary nor possible to exhaustively describe all embodiments here. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the scope of protection of the claims of the present invention.

Claims

1. A method for allocating medium- to long-term contract electricity volume considering carbon emission balancing, characterized in that, Includes the following steps: Step 1: Considering the balance of unit contract completion progress and carbon emission balance, construct an annual contract power decomposition model to decompose the annual contract power of the units into months; Step 2: Considering the consistency of contract completion progress for units of the same type, construct a monthly contract electricity decomposition model to decompose the monthly contract electricity of the units into daily amounts; Step 3: Based on the principle of typical load curves, decompose the contracted electricity volume of the computer group for different time periods according to the load ratio; Step 1 considers the balance between the completion schedule of unit contracts and the balance of carbon emissions, and constructs an annual contracted electricity decomposition model to decompose the annual contracted electricity of the units into months. The specific method is as follows: The annual contracted electricity volume decomposition model breaks down the annual contracted electricity volume of each unit into monthly amounts. During the decomposition process, it considers the balancing of unit contract completion progress and carbon emission balance, and has two objective functions: the first objective function is to ensure that the monthly contract completion progress of units of the same type is as balanced as possible, expressed as: In the formula, M represents the total number of months in a year, M = 12; I c and J g The numbers are respectively the number of coal-fired power units and gas-fired power units; and The contract completion rates for coal-fired power unit i and gas-fired power unit j up to month m are respectively. and These represent the average contract completion rates for all coal-fired power units and all gas-fired power units in month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, allocated to the k-th month, respectively. and These represent the annual contracted electricity volumes for coal-fired power unit i and gas-fired power unit j, respectively. Let the annual monthly carbon emission target vector set by the trading center be N = (n1, n2, ..., n M ),satisfy The second objective function of the annual contract breakdown is to make monthly carbon emissions as close as possible to the target ratio set by the trading center, which can be expressed as: In the formula, C m C represents the total carbon emissions of all units in month m; y This represents the total carbon emissions corresponding to the annual contracted electricity volume for all generating units; M c,i and M g,i , respectively, are the carbon emission coefficients of coal-fired power unit i and gas-fired power unit j, representing the carbon emissions per unit of electricity generated; and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, allocated to the m-th month, respectively. The constraints of the model include: 1) Total Contract Amount Constraint 2) Decomposable energy constraints In the formula, and These are the minimum and maximum contractable electricity quantities for month m, respectively; 3) Minimum / maximum power generation constraints of the unit In the formula, and These represent the minimum and maximum power generation of coal-fired power unit i in month m, respectively. and These are the minimum and maximum power generation of the gas turbine unit j in the m-th month, respectively. In step 2, considering the consistency of contract completion progress for similar generating units, a monthly contract electricity decomposition model is constructed to decompose the monthly contract electricity of the generating units into daily amounts. The specific method is as follows: The monthly contracted electricity volume decomposition model breaks down the monthly contracted electricity volume of each generating unit into daily amounts. During the decomposition process, the consistency of contract completion progress for units of the same type is considered. Its objective function is: In the formula, D m Let m be the number of days in month m. and The contract completion rates for coal-fired power unit i and gas-fired power unit j on day d of month m are respectively. and These represent the average contract completion rates of all coal-fired power units and all gas-fired power units on day d of month m, respectively. and These represent the electricity generated by coal-fired power unit i and gas-fired power unit j, respectively, from month m to day d. The constraints of the model include: 1) Total Contract Amount Constraint 2) Decomposable energy constraints In the formula, and These are the minimum and maximum contract-decomposable electricity quantities on day d of month m, respectively. 3) Minimum / maximum power generation constraints of the unit In the formula, and These are the minimum and maximum power generation of coal-fired power unit i on day d of month m, respectively; and These represent the minimum and maximum power generation of the gas turbine unit on day d of month m, respectively. In step 3, based on the principle of typical load curves, the contracted electricity volume of the computer group is decomposed according to the load ratio for different time periods. The specific method is as follows: The daily contracted electricity volume decomposition is based on the typical load curve principle. The daily contracted electricity volume for coal-fired and gas-fired turbines is decomposed according to the proportion of electricity consumption in each time period to the typical daily electricity consumption in the typical load curve. This yields the contracted electricity volume for each unit in different time periods. In the formula, and β represents the electricity generated by coal-fired power unit i and gas-fired power unit j on day d of month m, allocated to the time period t. t The percentage of electricity consumption during period t to the typical daily electricity consumption is calculated from the typical daily load curve.

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