Off-grid source network load storage optimization configuration method considering calcium carbide production characteristics

Abstract

The invention belongs to the technical field of off-grid source network load storage optimal configuration, and particularly relates to an off-grid source network load storage optimal configuration method considering calcium carbide production characteristics, which comprises the following steps: formulating a plurality of wind power projects, calcium carbide furnaces and energy storage combination schemes; based on the combination scheme, considering constraint conditions to construct an optimal scheduling simulation model, and adopting a branch and bound algorithm to obtain annual abandoned electricity quantity, abandoned electricity rate, and a curve of wind power scheduling output, the number of operation calcium carbide furnaces and energy storage operation power; calculating annual calcium carbide yield by combining a calcium carbide furnace operation number curve and a load curve; according to the scheme that the calcium carbide yield and the electricity abandoning rate of the wind power project are both within the expected range, source network load storage overall investment calculation is conducted, including wind power project investment, power grid investment, calcium carbide furnace and matched equipment investment and energy storage project investment, and the scheme with the small comprehensive investment is selected as a recommended scheme; the method is used as a flexible adjustment resource to participate in source network load storage optimization scheduling, and the calcium carbide production industry is assisted to accelerate green electricity calcium carbide transformation.

Description

Technical Field

[0001] The present invention belongs to the technical field of off-grid source-grid-load-storage optimization configuration, and specifically is an off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics. Background Art

[0002] Source-grid-load-storage is an independently operated power system that combines new energy, load management and energy storage technology, which makes the power grid gradually active and flexible, ensuring that in the off-grid state, various new energy sources can continuously and stably provide the required electricity for the calcium carbide production process, meet the load demand, and avoid power outages or excessive voltage fluctuations.

[0003] Under traditional power supply models (powered by the mains grid, providing an extremely stable supply), calcium carbide manufacturers operate in a continuous production mode, characterized by high energy consumption. Planning for off-grid source-grid-load-storage projects requires a thorough analysis of the essential characteristics of calcium carbide production loads, combined with comprehensive consideration of optimal scheduling strategies for the production load, wind power, and energy storage, to arrive at a technically feasible and economically optimal configuration of these key elements.

[0004] In terms of off-grid power generation, grid generation, load generation, and storage optimization technologies, existing research focuses on the capacity configuration of off-grid wind-solar hydrogen production systems, wind-solar-hydrogen storage and ammonia synthesis systems, and the structure of multi-energy complementary electric, water, and gas cogeneration systems. In the field of calcium carbide production, no relevant research has been conducted on off-grid power generation, grid generation, load generation, and storage integrated planning that considers calcium carbide production load, new energy resources, and energy storage for flexible regulation.

[0005] To this end, the present invention provides an off-grid source-grid-load-storage optimization configuration method taking into account the production characteristics of calcium carbide. Summary of the Invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: an off-grid source-grid-load-storage optimization configuration method taking into account the production characteristics of calcium carbide, comprising the following steps:

[0008] S1: Develop multiple wind power projects, calcium carbide furnaces and energy storage combination plans;

[0009] S2: Based on the combination scheme and constraints, an optimization scheduling simulation model is constructed, and a branch-and-bound algorithm is used to obtain the annual power curtailment amount, curtailment rate, and curves of load, wind power dispatch output, number of calcium carbide furnaces in operation, and energy storage operating power;

[0010] S3: Calculate the annual calcium carbide production based on the calcium carbide furnace operation number curve and load curve;

[0011] S4: For schemes where both calcium carbide production and wind power project curtailment rates are within the expected range, the overall investment in source, grid, load and storage is calculated, including investment in wind power projects, grid investment, calcium carbide furnaces and their supporting equipment, and energy storage projects, and the scheme with the smallest overall investment is selected as the recommended scheme.

[0012] Preferably, in S1, the following combination scheme is included:

[0013] S101: Formulate wind wind power installed capacity scale plans;

[0014] S102: Formulate fum A scale configuration plan for calcium carbide furnace;

[0015] S103: Formulate r ess Energy storage configuration options;

[0016] S104: In i wind ×j fum ×r ess Based on the combination schemes, after eliminating unreasonable combinations, M planning schemes are formed.

[0017] Preferably, the wind power installed capacity plan is calculated using the following formula:

[0018]

[0019] Where: is the installed capacity of the wind power project in the i-th option, [] int The calculated value is rounded up and the unit is MW; Q Car is the annual calcium carbide production target, in 10,000 tons; k Car,i is the power consumption index of the ith unit of calcium carbide smelting, in kWh; loss is the annual power loss rate of the system from wind power generation to calcium carbide production load; aban is the annual power curtailment rate of wind power projects; h wind It is the number of hours of wind power generation utilization, in h.

[0020] Preferably, the scale configuration scheme of the calcium carbide furnace is calculated using the following formula:

[0021]

[0022] Where: The minimum number of calcium carbide furnaces required to meet the annual calcium carbide production target under the traditional power supply mode with extremely stable power supply; S fum is the capacity of the calcium carbide furnace, in MVA; cosα is the natural power factor of the calcium carbide furnace without reactive power compensation on the low-voltage side; d optk' is the effective operating days of the calcium carbide furnace in a year after deducting maintenance factors; Car The power consumption index per unit of calcium carbide smelting is based on the upper limit specified by the calcium carbide industry; is the total number of the jth calcium carbide furnace configuration scheme; The number of additional calcium carbide furnaces required for the jth calcium carbide furnace configuration plan.

[0023] Preferably, the energy storage configuration scheme is calculated using the following formula:

[0024]

[0025] Where: The rated capacity of energy storage under the i-th wind power planning scheme, the j-th calcium carbide furnace configuration scheme, and the r-th storage duration scheme, in MWh; The energy storage rated power under the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme, in MW; is the minimum storage power required by local policies under the i-th wind power planning scheme, in MW; The minimum energy storage power required for the power grid constructed for the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme to meet the transient stability constraints; The energy storage duration is an integer multiple of 0.5h and does not exceed 3h; The minimum storage duration required by the local centralized wind power project energy storage configuration policy, in hours.

[0026] Preferably, in S2, the establishment of the optimization scheduling model includes the following steps:

[0027] S201: With the goal of minimizing annual power curtailment, establish an optimization objective function for coordinated dispatch of sources, grids, loads, and storage;

[0028]

[0029] Where: E abandon is the annual abandoned wind power, in MWh; N time is the number of time periods per day; The wind power forecast output for the t-th period on the day, in MW; The wind power dispatch output in the t-th period on the day, in MW;

[0030] S202: Constructing a wind power project output constraint model,

[0031] S203: Establishing an energy storage system operation constraint model;

[0032] S204: Establish a constraint model for calcium carbide production load to participate in demand response;

[0033] S205: Establishing power balance constraints;

[0034]

[0035] Where: The wind power output dispatch value for the t-th period on the day, in MW; The load of the mth calcium carbide furnace in the tth period on the day, in MW; are the charging and discharging power of the energy storage at the t-th period on the day, in MW;

[0036] S206: A branch and bound algorithm is used to solve a source-grid-load-storage coordinated optimization scheduling model that takes into account wind power, calcium carbide load, and energy storage, and obtain curves of wind power scheduling output, the number of operating calcium carbide furnaces, and the operating power of energy storage.

[0037] Preferably, in S203, the method for establishing the energy storage system operation constraint model includes the following steps:

[0038] S2031: Establish energy storage charging and discharging power range constraints;

[0039]

[0040] Where: The charging and discharging power of the energy storage at time period t on day day; It is a 0 / 1 variable for the energy storage charge and discharge status; 0-1 variable for energy storage charge and discharge status; is the energy storage rated power; The efficiency of energy storage charging and discharging;

[0041] S2032: Establish energy storage state of charge safety constraints, including SOC continuity constraints, upper and lower limit constraints, and energy storage energy balance constraints within a complete daily scheduling cycle;

[0042]

[0043] Where: The state of charge of the energy storage at time period t on day day;

[0044] Preferably, in S204, the method for establishing a constraint model for calcium carbide production load to participate in demand response includes the following steps:

[0045] S2041: Calcium carbide furnace operating load constraints;

[0046]

[0047] Where: The maximum and minimum load factors of a single calcium carbide furnace during operation. To improve the operation efficiency of the calcium carbide furnace and the quality of calcium carbide products, the load factor of the calcium carbide furnace should be within the range of 0.8 to 1.1. is the operating status 0-1 variable of the mth calcium carbide furnace, day, and time, where the operating status is 1 and the shutdown status is 0; is the rated active load of a single calcium carbide furnace, The unit is MW;

[0048] S2042: The shortest continuous operation time constraint and the longest continuous shutdown time constraint of the calcium carbide furnace;

[0049]

[0050] Where: The shortest continuous operating time of a single calcium carbide furnace, which is an integer multiple of 1 hour; A on It is the collection of continuous operation time periods of a single calcium carbide furnace;

[0051]

[0052] Where: The longest continuous shutdown time of a single calcium carbide furnace shall not exceed 24 hours; A off It is a collection of continuous shutdown periods of a single calcium carbide furnace;

[0053] S2043: Add constraints on the number of calcium carbide furnaces in operation during adjacent time periods;

[0054]

[0055] Where: F furn It is the upper limit of the change in the number of calcium carbide furnaces in adjacent time periods, in units of units.

[0056] Preferably, in S4, the method for calculating the annual calcium carbide output comprises the following steps:

[0057] S401: Establish a piecewise function of two types of indicators: the cumulative duration of 0 calcium carbide furnaces in operation and the standard deviation of the curve of the number of operating units. The calculation formula is as follows:

[0058]

[0059] Where: d fum is the standard deviation of the transport number curve; The power consumption of calcium carbide smelting in the qth segment of the index piecewise function; h fum The duration of the transport number; The power consumption of calcium carbide smelting in the sth segment of the index piecewise function; are the lower and upper limits of the qth segment in the piecewise function of the standard deviation of the number of units in operation curve; are the lower and upper limits of the sth segment in the piecewise function of the cumulative duration of the 0th station in operation;

[0060] S402: Calculate the actual daily unit calcium carbide smelting power consumption for estimating daily output. The calculation formula is as follows:

[0061]

[0062] Where: is the weighted value of unit calcium carbide smelting power consumption on day, kWh, and λ is the weighting coefficient; They are the standard deviation index of the curve based on the number of units in operation on day day, and the characteristic index based on the cumulative duration of 0 units in operation for two types of unit carbide smelting power consumption;

[0063] S403: The following formula is used to convert the solarite production load into the solarite output of each unit. The calculation formula is as follows:

[0064]

[0065] Where: is the day's sunstone production, in 10,000 tons; The weighted value of unit calcium carbide smelting power consumption on day, in kWh;

[0066] S404: Calculate the annual output of calcium carbide using the following formula:

[0067]

[0068] Where: It is the annual output of calcium carbide, in ten thousand tons.

[0069] Preferably, in S4, the comprehensive investment is calculated using the following formula:

[0070]

[0071] Where: and They are the unit comprehensive cost of wind power projects, the unit comprehensive cost of calcium carbide furnaces and their supporting units, and the unit comprehensive cost of energy storage systems; is the installed capacity of the wind power project; is the number of calcium carbide furnaces; is the capacity of the energy storage system.

[0072] The beneficial effects of the present invention are as follows:

[0073] 1. The present invention describes an off-grid source-grid-load-storage optimization configuration method that takes into account the characteristics of calcium carbide production. This method formulates a combination scheme of multiple wind power projects, calcium carbide furnaces, and energy storage; based on the combination scheme, an optimization scheduling simulation model is constructed considering constraints, and a branch and bound algorithm is used to obtain the annual power curtailment amount, power curtailment rate, and curves of wind power scheduling output, number of operating calcium carbide furnaces, and energy storage operating power; the annual calcium carbide production is calculated in combination with the curve of the number of operating calcium carbide furnaces and the load curve; the overall investment in source-grid-load-storage is calculated for schemes in which the calcium carbide production and wind power project power curtailment rate are within the expected range, and a scheme with a smaller comprehensive investment is selected as the recommended scheme; not only can the load characteristics of calcium carbide production be fully considered, and it can be used as a flexible adjustment resource to participate in the source-grid-load-storage optimization scheduling; it also provides valuable reference for investment decision-making by reasonably determining the scale of wind power installed capacity, the scale of calcium carbide production equipment, and the scale of energy storage, helping the calcium carbide production industry to accelerate the transformation to "green electricity calcium carbide".

[0074] 2. The present invention describes an off-grid source-grid-load-storage optimization configuration method that takes into account the production characteristics of calcium carbide, and a formulation technology that combines wind power, calcium carbide furnaces, and energy storage scales to form an original planning library. It includes: a formulation technology for a wind power project scale solution library, which calculates the scale of wind power projects under several unit calcium carbide smelting power consumption indicators in combination with wind power utilization hours, system network losses, and preset power abandonment rates; a formulation technology for a calcium carbide furnace scale library that comprehensively considers calcium carbide production and new energy consumption levels, and adds a certain number of calcium carbide furnaces on the basis of the traditional power supply mode and the minimum number of calcium carbide furnaces required to meet the annual electricity production target, forming several types of calcium carbide furnaces; a formulation technology for an energy storage planning library that takes into account the transient stability constraints of the power supply system, and sets the minimum grid-type energy storage power required to meet the system transient stability constraints. The lower limit of energy storage power is obtained by taking the larger of the energy storage power and the energy storage power constrained by the minimum storage ratio based on policy requirements. Several durations are selected to obtain corresponding multiple energy storage planning schemes. BRIEF DESCRIPTION OF THE DRAWINGS

[0075] The present invention will be further described below with reference to the accompanying drawings.

[0076] Figure 1 This is a method flow chart of the off-grid source-grid-load-storage optimization method of the present invention;

[0077] Figure 2 It is a flow chart of the method for formulating the combination scheme in the present invention;

[0078] Figure 3 It is a flow chart of the method for establishing an optimization scheduling model in the present invention;

[0079] Figure 4 is a flow chart of the method for establishing an energy storage system operation constraint model in the present invention;

[0080] Figure 5This is a flow chart of a method for establishing a demand response constraint model for calcium carbide production load in the present invention;

[0081] Figure 6 This is a flow chart of a method for calculating annual calcium carbide production according to the present invention;

[0082] Figure 7 This is a technical framework diagram of off-grid source-grid-load-storage optimization configuration in the present invention;

[0083] Figure 8 It is a schematic diagram of the off-grid source-grid-load-storage power supply structure in the present invention. DETAILED DESCRIPTION

[0084] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0085] like Figures 1-8 As shown, an off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to an embodiment of the present invention includes the following steps:

[0086] S1: Develop multiple wind power projects, calcium carbide furnaces and energy storage combination plans;

[0087] S2: Based on the combination scheme and constraints, an optimization scheduling simulation model is constructed, and a branch-and-bound algorithm is used to obtain the annual power curtailment amount, curtailment rate, and curves of load, wind power dispatch output, number of calcium carbide furnaces in operation, and energy storage operating power;

[0088] S3: Calculate the annual calcium carbide production based on the calcium carbide furnace operation number curve and load curve;

[0089] S4: For schemes where both calcium carbide production and wind power project curtailment rates are within the expected range, the overall investment in source, grid, load and storage is calculated, including investment in wind power projects, grid investment, calcium carbide furnaces and their supporting equipment, and energy storage projects, and the scheme with the smallest overall investment is selected as the recommended scheme.

[0090] When the off-grid source-grid-load-storage optimization method provided by the present invention is used, the technology for formulating the original planning library is firstly combined with wind power, calcium carbide furnace and energy storage scale to form. Including: the technology for formulating the wind power project scale plan library; the technology for formulating the calcium carbide furnace scale library that comprehensively considers the calcium carbide output and the new energy consumption level; the technology for formulating the energy storage planning library that takes into account the transient stability constraints of the power supply system, and obtains corresponding multiple energy storage planning schemes. Then, under a certain planning scheme, the optimization scheduling technology is taken into account with the goal of minimizing the annual power curtailment of wind power projects by taking into account adjustable resources such as wind power, energy storage, and calcium carbide production load; through the full-year optimization scheduling simulation, the annual wind power curtailment, power curtailment rate, and curves such as wind power scheduling output, number of operating calcium carbide furnaces and energy storage operating power are obtained. Finally, the annual production calculation technology of calcium carbide based on the operating characteristics of calcium carbide furnaces includes investment in wind power projects, power grid investment, investment in calcium carbide furnaces and their supporting equipment, and investment in energy storage projects. The scheme with the smallest comprehensive investment is selected as the recommended scheme. On the one hand, it can fully consider the load characteristics of calcium carbide production and use it as a flexible adjustment resource to participate in the source-grid-load-storage optimization scheduling; on the other hand, by reasonably determining the scale of wind power installed capacity, the scale of calcium carbide production equipment, and the scale of energy storage, it provides valuable reference for investment decision-making and helps the calcium carbide production industry accelerate the transformation to "green electricity calcium carbide".

[0091] like Figure 2 As shown, in S1, the following combination schemes are included:

[0092] S101: Formulate wind wind power installed capacity scale plans;

[0093] S102: Formulate fum A scale configuration plan for calcium carbide furnace;

[0094] S103: Formulate r ess Energy storage configuration options;

[0095] S104: In i wind ×j fum ×r ess Based on the combination schemes, after eliminating unreasonable combinations, M planning schemes are formed.

[0096] When using the combination solution provided by the present invention, first formulate i wind wind power installed capacity scale plans;

[0097] Then formulate j furnA calcium carbide furnace scale configuration plan: Under the traditional power supply model with extremely stable power supply, calculate the minimum number of calcium carbide furnaces required to meet the annual electricity production target; the calcium carbide production load in the off-grid power supply model under a single renewable energy source (wind power) will more often experience the phenomenon of "short-term furnace shutdown, step-by-step ramp-up, and operation within the economic load range" than the traditional power supply model (non-off-grid type), and there may be the risk of "annual calcium carbide production capacity deviating significantly from the expected target and a high wind power curtailment rate";

[0098] Formulate r ess Energy storage configuration scheme; for the combination of S101 and S102, i wind ×j furn The wind power installed capacity and calcium carbide furnace configuration schemes are constructed one by one to build the source-grid-load-storage power supply grid, and the minimum grid-type energy storage power required to meet the frequency and voltage stability requirements stipulated by the system transient stability constraints is obtained. The energy storage power will be constrained by the minimum storage ratio required by the policy The lower limit of energy storage power under a certain combination of wind power and calcium carbide furnace is obtained by taking the larger of the two and the energy storage power based on system transient stability constraints; combined with the minimum duration required by the policy, r is selected. ess The storage duration is determined and the corresponding storage plan is obtained;

[0099] Finally in i wind ×j fum ×r ess Based on the combination schemes, after eliminating unreasonable combinations, M planning schemes are formed.

[0100] like Figure 2 As shown, the wind power installed capacity plan is calculated using the following formula:

[0101]

[0102] Where: is the installed capacity of the wind power project in the i-th option, [] int The calculated value is rounded up and the unit is MW; Q Car is the annual calcium carbide production target, in 10,000 tons; k Car,i is the power consumption index of the ith unit of calcium carbide smelting, in kWh; loss is the annual power loss rate of the system from wind power generation to calcium carbide production load; aban is the annual power curtailment rate of wind power projects; h wind It is the number of hours of wind power generation utilization, in h.

[0103] When using the wind power installed capacity plan provided by the present invention, the wind power utilization hours, system network losses and preset power abandonment rate are combined, and the minimum value of the power consumption index takes the upper limit specified by the calcium carbide industry, and the maximum value does not exceed 1.2 times the minimum value.

[0104] like Figure 2 As shown, the scale configuration scheme of the calcium carbide furnace is calculated using the following formula:

[0105]

[0106] Where: The minimum number of calcium carbide furnaces required to meet the annual calcium carbide production target under the traditional power supply mode with extremely stable power supply; S fum is the capacity of the calcium carbide furnace, in MVA; cosα is the natural power factor of the calcium carbide furnace without reactive power compensation on the low-voltage side; d opt k' is the effective operating days of the calcium carbide furnace in a year after deducting maintenance factors; Car The power consumption index per unit of calcium carbide smelting is based on the upper limit specified by the calcium carbide industry; is the total number of the jth calcium carbide furnace configuration scheme; The number of additional calcium carbide furnaces required for the jth calcium carbide furnace configuration plan.

[0107] When using the calcium carbide furnace scale configuration plan provided by the present invention, it is necessary to fully consider the instability of wind power output, add a certain number of calcium carbide furnaces, enhance the load flexibility adjustment capability, improve the wind power project absorption level, and make the calcium carbide production reach the expected target as much as possible.

[0108] like Figure 2 As shown, the energy storage configuration scheme is calculated using the following formula:

[0109]

[0110] Where: The rated capacity of energy storage under the i-th wind power planning scheme, the j-th calcium carbide furnace configuration scheme, and the r-th storage duration scheme, in MWh; The energy storage rated power under the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme, in MW; is the minimum storage power required by local policies under the i-th wind power planning scheme, in MW; The minimum energy storage power required for the power grid constructed for the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme to meet the transient stability constraints; The energy storage duration is an integer multiple of 0.5h and does not exceed 3h; The minimum storage duration required by the local centralized wind power project energy storage configuration policy, in hours.

[0111] like Figure 3 As shown, in S2, the establishment of the optimization scheduling model includes the following steps:

[0112] S201: With the goal of minimizing annual power curtailment, establish an optimization objective function for coordinated dispatch of sources, grids, loads, and storage;

[0113]

[0114] Where: E abandon is the annual abandoned wind power, in MWh; N time is the number of time periods per day; The wind power forecast output for the t-th period on the day, in MW; The wind power dispatch output in the t-th period on the day, in MW;

[0115] S202: Constructing a wind power project output constraint model,

[0116] S203: Establishing an energy storage system operation constraint model;

[0117] S204: Establish a constraint model for calcium carbide production load to participate in demand response;

[0118] S205: Establishing power balance constraints;

[0119]

[0120] Where: The wind power output dispatch value for the t-th period on the day, in MW; The load of the mth calcium carbide furnace in the tth period on the day, in MW; are the charging and discharging power of the energy storage at the t-th period on the day, in MW;

[0121] S206: A branch and bound algorithm is used to solve a source-grid-load-storage coordinated optimization scheduling model that takes into account wind power, calcium carbide load, and energy storage, and obtain curves of wind power scheduling output, the number of operating calcium carbide furnaces, and the operating power of energy storage.

[0122] When constructing the optimization scheduling model provided by the present invention, the goal is to minimize the annual amount of abandoned electricity, establish an optimization objective function for the coordinated scheduling of source, grid, load and storage; construct a wind power project output constraint model; establish an energy storage system operation constraint model; establish a constraint model for the participation of calcium carbide production load in demand response; establish a power balance constraint; and according to the constraint conditions, use a branch and bound algorithm to solve the coordinated optimization scheduling model of source, grid, load and storage that takes into account wind power, calcium carbide load and energy storage, and obtain curves of wind power scheduling output, the number of operating calcium carbide furnaces and the operating power of energy storage.

[0123] The main steps of the branch and bound algorithm are briefly described as follows:

[0124] 1. Construct an initial problem; according to the requirements of the problem, construct an initial problem and calculate the objective function value of the initial problem;

[0125] 2. Branching: Based on the initial problem, perform branching operations on a variable (or several variables) to divide the problem into multiple sub-problems, each of which represents a branch of the value of a variable;

[0126] 3. Calculate the lower bound; for each subproblem, calculate a lower bound value, which is an estimate of the objective function value;

[0127] 4. Determine the branch: Based on the calculated lower bound, select the most promising sub-problem to branch, that is, select the sub-problem with the smallest lower bound;

[0128] 5. Backtracking: Starting from the selected branch, backtrack to the parent problem, skipping some branches;

[0129] 6. Repeat; Repeat the above steps until a solution that meets the problem requirements is found, or the upper bound of a feasible solution is found;

[0130] 7. Determine the solution; further determine the upper bound value and perform pruning operations to select the optimal solution.

[0131] like Figure 4 As shown, in S203, the method for establishing the energy storage system operation constraint model includes the following steps:

[0132] S2031: Establish energy storage charging and discharging power range constraints;

[0133]

[0134] Where: The charging and discharging power of the energy storage at time period t on day day; It is a 0 / 1 variable for the energy storage charge and discharge status; 0-1 variable for energy storage charge and discharge status; is the energy storage rated power; The efficiency of energy storage charging and discharging;

[0135] S2032: Establish energy storage state of charge safety constraints, including SOC continuity constraints, upper and lower limit constraints, and energy storage energy balance constraints within a complete daily scheduling cycle;

[0136]

[0137] Where: The state of charge of the energy storage at time period t on day day;

[0138] When establishing the energy storage charging and discharging power range constraints provided by the present invention, it is necessary to establish the energy storage charging and discharging power range constraints; establish energy storage charge state safety constraints, including SOC continuity constraints, upper and lower limit constraints and energy storage energy balance constraints within a complete scheduling cycle on a daily scale.

[0139] like Figure 5 As shown, in S204, the method for establishing the constraint model for the calcium carbide production load to participate in demand response includes the following steps:

[0140] S2041: Calcium carbide furnace operating load constraints;

[0141]

[0142] Where: The maximum and minimum load factors of a single calcium carbide furnace during operation. To improve the operation efficiency of the calcium carbide furnace and the quality of calcium carbide products, the load factor of the calcium carbide furnace should be within the range of 0.8 to 1.1. is the operating status 0-1 variable of the mth calcium carbide furnace, day, and time, where the operating status is 1 and the shutdown status is 0; is the rated active load of a single calcium carbide furnace, The unit is MW;

[0143] S2042: The shortest continuous operation time constraint and the longest continuous shutdown time constraint of the calcium carbide furnace;

[0144]

[0145] Where: The shortest continuous operating time of a single calcium carbide furnace, which is an integer multiple of 1 hour; A on It is the collection of continuous operation time periods of a single calcium carbide furnace;

[0146]

[0147] Where: The longest continuous shutdown time of a single calcium carbide furnace shall not exceed 24 hours; A off It is a collection of continuous shutdown periods of a single calcium carbide furnace;

[0148] S2043: Add constraints on the number of calcium carbide furnaces in operation during adjacent time periods;

[0149]

[0150] Where: F furn It is the upper limit of the change in the number of calcium carbide furnaces in adjacent time periods, in units of units.

[0151] When establishing the constraint model for the participation of calcium carbide production load in demand response provided by the present invention, it includes the calcium carbide furnace operating load constraint, the calcium carbide furnace minimum continuous operating time constraint and the maximum continuous shutdown time constraint. In order to reduce the system voltage fluctuation problem caused by large fluctuations in calcium carbide load, the constraint on the change of the number of calcium carbide furnaces in operation in adjacent time periods is added.

[0152] like Figure 6 As shown, in S4, the method for calculating the annual calcium carbide output includes the following steps:

[0153] S401: Establish a piecewise function of two types of indicators: the cumulative duration of 0 calcium carbide furnaces in operation and the standard deviation of the curve of the number of operating units. The calculation formula is as follows:

[0154]

[0155] Where: d fum is the standard deviation of the transport number curve; The power consumption of calcium carbide smelting in the qth segment of the index piecewise function; h fum The duration of the transport number; The power consumption of calcium carbide smelting in the sth segment of the index piecewise function; are the lower and upper limits of the qth segment in the piecewise function of the standard deviation of the number of units in operation curve; are the lower and upper limits of the sth segment in the piecewise function of the cumulative duration of the 0th station in operation;

[0156] S402: Calculate the actual daily unit calcium carbide smelting power consumption for estimating daily output. The calculation formula is as follows:

[0157]

[0158] Where: is the weighted value of unit calcium carbide smelting power consumption on day, kWh, and λ is the weighting coefficient; They are the standard deviation index of the curve based on the number of units in operation on day day, and the characteristic index based on the cumulative duration of 0 units in operation for two types of unit carbide smelting power consumption;

[0159] S403: The following formula is used to convert the solarite production load into the solarite output of each unit. The calculation formula is as follows:

[0160]

[0161] Where: is the day's sunstone production, in 10,000 tons; The weighted value of unit calcium carbide smelting power consumption on day, in kWh;

[0162] S404: Calculate the annual output of calcium carbide using the following formula:

[0163]

[0164] Where: It is the annual output of calcium carbide, in ten thousand tons.

[0165] When the annual calcium carbide production calculation method provided by the present invention is used, a piecewise function of two types of indicators, namely, the cumulative duration of operation of 0 calcium carbide furnaces and the standard deviation of the curve of the number of calcium carbide furnaces in operation, is established. If the standard deviation of the curve of the number of calcium carbide furnaces in operation is d furn Located in the qth segment of the index piecewise function, the unit calcium carbide smelting power consumption per day is If a certain day, the tungsten furnace is in operation for a cumulative duration of 0 hours furn Located in the sth segment of the index piecewise function, the unit calcium carbide smelting power consumption per day is are the lower and upper limits of the qth segment in the piecewise function of the standard deviation of the number of units in operation curve; are the lower and upper limits of the sth segment in the piecewise function of the cumulative duration of 0 units in operation; combined with the curve of the number of calcium carbide furnaces in operation and the load curve obtained throughout the year from the simulation, the standard deviation values ​​of the curves of the cumulative duration of 0 units in operation of each calcium carbide furnace and the number of units in operation on each day are obtained; based on the piecewise functions of the two types of unit calcium carbide smelting power consumption indicators mentioned above, the actual values ​​of the two types of unit power consumption indicators per day are obtained, and the weighted values ​​of the unit calcium carbide smelting power consumption are obtained after weighting them according to a certain weight; then the calcium carbide production load is converted into the output of each calcium carbide, and the annual output of calcium carbide is calculated.

[0166] like Figure 7 As shown, in S4, the comprehensive investment is calculated using the following formula:

[0167]

[0168] Where: and They are the unit comprehensive cost of wind power projects, the unit comprehensive cost of calcium carbide furnaces and their supporting units, and the unit comprehensive cost of energy storage systems; is the installed capacity of the wind power project; is the number of calcium carbide furnaces; is the capacity of the energy storage system.

[0169] The comprehensive investment provided by the present invention includes wind power project investment, power grid investment, calcium carbide furnace and its supporting equipment investment and energy storage project investment. The unit comprehensive cost of the wind power project includes wind turbines, collection lines, booster stations and transmission lines, etc.; the unit comprehensive cost of the calcium carbide furnace and its supporting equipment includes the step-down station or calcium carbide furnace transformer distribution device, calcium carbide furnace transformer body and other ancillary equipment, etc.

[0170] Working principle: The technology for formulating the original planning library by combining wind power, calcium carbide furnace and energy storage scale. Including: the technology for formulating the wind power project scale solution library, which combines the wind power utilization hours, system network loss and preset power abandonment rate to calculate the wind power project scale under several unit calcium carbide smelting power consumption indicators; the technology for formulating the calcium carbide furnace scale library, which comprehensively considers the calcium carbide output and the new energy consumption level, and adds a certain number of calcium carbide furnaces on the basis of the traditional power supply mode and the minimum number of calcium carbide furnaces required to meet the annual electricity production target, to form several types of calcium carbide furnaces; the technology for formulating the energy storage planning library taking into account the transient stability constraints of the power supply system, which will meet the system transient stability constraints The minimum grid-type energy storage power required The lower limit of energy storage power is obtained by taking the larger of the energy storage power and the energy storage power constrained by the minimum storage ratio based on policy requirements. Several energy storage planning schemes are then obtained by selecting several durations.

[0171] Under a specific planning scheme, an optimal scheduling technology is developed that takes into account adjustable resources such as wind power, energy storage, and calcium carbide production load, with the goal of minimizing the annual curtailment of wind power projects. Through year-round optimal scheduling simulation, curves such as the annual curtailment of wind power, the curtailment rate, and wind power dispatch output, the number of operating calcium carbide furnaces, and the operating power of energy storage are obtained. In particular, the optimal scheduling technology includes constraints on the shortest continuous operating time of calcium carbide furnaces, the longest continuous outage time, and the change in the number of operating calcium carbide furnaces in adjacent time periods.

[0172] Two types of piecewise functions of unit calcium carbide smelting power consumption indicators are established, including statistical indicators such as the cumulative duration of 0 calcium carbide furnaces in operation and the standard deviation of the curve of the number of calcium carbide furnaces in operation; combined with the number of calcium carbide furnaces in operation and the load curve obtained from the full-year optimization scheduling simulation, the cumulative duration of 0 calcium carbide furnaces in operation on each day and the standard deviation of the curve of the number of calcium carbide furnaces in operation on each day are calculated; based on the above two types of piecewise functions of unit calcium carbide smelting power consumption indicators, the actual values ​​of the two types of unit power consumption indicators are calculated every day, and the weighted values ​​of unit calcium carbide smelting power consumption are obtained after weighting them according to certain weights; combined with the daily weighted values ​​of unit calcium carbide smelting power consumption and the calcium carbide production load, the calcium carbide output of each day is calculated, and then the annual calcium carbide output is obtained.

[0173] The above method can not only fully consider the load characteristics of calcium carbide production and use it as a flexible adjustment resource to participate in the source-grid-load-storage optimization scheduling; it also provides valuable reference for investment decision-making by reasonably determining the scale of wind power installed capacity, calcium carbide production equipment and energy storage, and help the calcium carbide production industry accelerate the transformation to "green electricity calcium carbide".

[0174] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. An off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics, characterized by: The following steps are involved: S1: Develop multiple wind power projects, calcium carbide furnaces and energy storage combination plans; S2: Based on the combination scheme and constraints, an optimization scheduling simulation model is constructed, and a branch-and-bound algorithm is used to obtain the annual power curtailment amount, curtailment rate, and curves of load, wind power dispatch output, number of calcium carbide furnaces in operation, and energy storage operating power; S3: Calculate the annual calcium carbide production based on the calcium carbide furnace operation number curve and load curve; S4: For schemes where both calcium carbide production and wind power project curtailment rates are within the expected range, the overall investment in source, grid, load and storage is calculated, including investment in wind power projects, grid investment, calcium carbide furnaces and their supporting equipment, and energy storage projects, and the scheme with the smallest overall investment is selected as the recommended scheme.

2. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 1 is characterized by: In S1, the following combination schemes are included: S101: Formulate wind wind power installed capacity scale plans; S102: Formulate fum A scale configuration plan for calcium carbide furnace; S103: Formulate r ess Energy storage configuration options; S104: In i wind ×j fum ×r ess Based on the combination schemes, after eliminating unreasonable combinations, M planning schemes are formed.

3. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 2 is characterized in that: The wind power installed capacity plan is calculated using the following formula: Where: is the installed capacity of the wind power project in the i-th option, [] int The calculated value is rounded up and the unit is MW; Q Car is the annual calcium carbide production target, in 10,000 tons; k Car,i is the power consumption index of the ith unit of calcium carbide smelting, in kWh; loss is the annual power loss rate of the system from wind power generation to calcium carbide production load; aban is the annual power curtailment rate of wind power projects; h wind It is the number of hours of wind power generation utilization, in h.

4. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 3 is characterized by: The scale configuration scheme of the calcium carbide furnace is calculated using the following formula: Where: The minimum number of calcium carbide furnaces required to meet the annual calcium carbide production target under the traditional power supply mode with extremely stable power supply; S fum is the capacity of the calcium carbide furnace, in MVA; cosα is the natural power factor of the calcium carbide furnace without reactive power compensation on the low-voltage side; d opt k' is the effective operating days of the calcium carbide furnace in a year after deducting maintenance factors; Car The power consumption index per unit of calcium carbide smelting is based on the upper limit specified by the calcium carbide industry; is the total number of the jth calcium carbide furnace configuration scheme; The number of additional calcium carbide furnaces required for the jth calcium carbide furnace configuration plan.

5. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 4 is characterized in that: The energy storage configuration scheme is calculated using the following formula: Where: The rated capacity of energy storage under the i-th wind power planning scheme, the j-th calcium carbide furnace configuration scheme, and the r-th storage duration scheme, in MWh; The energy storage rated power under the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme, in MW; is the minimum storage power required by local policies under the i-th wind power planning scheme, in MW; The minimum energy storage power required for the power grid constructed for the i-th wind power planning scheme and the j-th calcium carbide furnace configuration scheme to meet the transient stability constraints; The energy storage duration is an integer multiple of 0.5h and does not exceed 3h; The minimum storage duration required by the local centralized wind power project energy storage configuration policy, in hours.

6. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 5 is characterized in that: In S2, the establishment of the optimization scheduling model includes the following steps: S201: With the goal of minimizing annual power curtailment, establish an optimization objective function for coordinated dispatch of sources, grids, loads, and storage; Where: E abandon is the annual abandoned wind power, in MWh; N time is the number of time periods per day; The wind power forecast output for the t-th period on the day, in MW; The wind power dispatch output in the t-th period on the day, in MW; S202: Constructing a wind power project output constraint model, S203: Establishing an energy storage system operation constraint model; S204: Establish a constraint model for calcium carbide production load to participate in demand response; S205: Establishing power balance constraints; Where: The wind power output dispatch value for the t-th period on the day, in MW; The load of the mth calcium carbide furnace in the tth period on the day, in MW; are the charging and discharging power of the energy storage at the t-th period on the day, in MW; S206: A branch and bound algorithm is used to solve a source-grid-load-storage coordinated optimization scheduling model that takes into account wind power, calcium carbide load, and energy storage, and obtain curves of wind power scheduling output, the number of operating calcium carbide furnaces, and the operating power of energy storage.

7. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 6 is characterized in that: In S203, the method for establishing the energy storage system operation constraint model includes the following steps: S2031: Establish energy storage charging and discharging power range constraints; Where: The charging and discharging power of the energy storage at time period t on day day; It is a 0 / 1 variable for the energy storage charge and discharge status; 0-1 variable for energy storage charge and discharge status; is the energy storage rated power; The efficiency of energy storage charging and discharging; S2032: Establish energy storage state of charge safety constraints, including SOC continuity constraints, upper and lower limit constraints, and energy storage energy balance constraints within a complete daily scheduling cycle; Where: The state of charge of the energy storage at time period t on day day; 8. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 7 is characterized in that: In S204, the method for establishing a constraint model for calcium carbide production load to participate in demand response includes the following steps: S2041: Calcium carbide furnace operating load constraints; Where: The maximum and minimum load factors of a single calcium carbide furnace during operation. To improve the operation efficiency of the calcium carbide furnace and the quality of calcium carbide products, the load factor of the calcium carbide furnace should be within the range of 0.8 to 1.

1. is the operating status 0-1 variable of the mth calcium carbide furnace, day, and time, where the operating status is 1 and the shutdown status is 0; is the rated active load of a single calcium carbide furnace, The unit is MW; S2042: The shortest continuous operation time constraint and the longest continuous shutdown time constraint of the calcium carbide furnace; Where: The shortest continuous operating time of a single calcium carbide furnace, which is an integer multiple of 1 hour; A on It is the collection of continuous operation time periods of a single calcium carbide furnace; Where: The longest continuous shutdown time of a single calcium carbide furnace shall not exceed 24 hours; A off It is a collection of continuous shutdown periods of a single calcium carbide furnace; S2043: Add constraints on the number of calcium carbide furnaces in operation during adjacent time periods; Where: F furn It is the upper limit of the change in the number of calcium carbide furnaces in adjacent time periods, in units of units.

9. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 8, characterized in that: In S4, the method for calculating the annual calcium carbide output comprises the following steps: S401: Establish a piecewise function of two types of indicators: the cumulative duration of 0 calcium carbide furnaces in operation and the standard deviation of the curve of the number of operating units. The calculation formula is as follows: Where: d fum is the standard deviation of the transport number curve; The power consumption of calcium carbide smelting in the qth segment of the index piecewise function; h fum The duration of the transport number; The power consumption of calcium carbide smelting in the sth segment of the index piecewise function; are the lower and upper limits of the qth segment in the piecewise function of the standard deviation of the number of units in operation curve; are the lower and upper limits of the sth segment in the piecewise function of the cumulative duration of the 0th station in operation; S402: Calculate the actual daily unit calcium carbide smelting power consumption for estimating daily output. The calculation formula is as follows: Where: is the weighted value of unit calcium carbide smelting power consumption on day, kWh, and λ is the weighting coefficient; They are the standard deviation index of the curve based on the number of units in operation on day day, and the characteristic index based on the cumulative duration of 0 units in operation for two types of unit carbide smelting power consumption; S403: The following formula is used to convert the solarite production load into the solarite output of each unit. The calculation formula is as follows: Where: is the day's sunstone production, in 10,000 tons; The weighted value of unit calcium carbide smelting power consumption on day, in kWh; S404: Calculate the annual output of calcium carbide using the following formula: Where: It is the annual output of calcium carbide, in ten thousand tons.

10. The off-grid source-grid-load-storage optimization configuration method taking into account calcium carbide production characteristics according to claim 9, characterized in that: In S4, the following formula is used to calculate the comprehensive investment: Where: and They are the unit comprehensive cost of wind power projects, the unit comprehensive cost of calcium carbide furnaces and their supporting units, and the unit comprehensive cost of energy storage systems; is the installed capacity of the wind power project; is the number of calcium carbide furnaces; is the capacity of the energy storage system.

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