A medium and long term scheduling plan multi-service overall coordination method, device, memory and equipment

Abstract

The application discloses a kind of medium and long-term scheduling plan multi-service overall coordination method, device, memory and equipment, the method is first constructed medium and long-term scheduling plan decision service boundary data global library;Then construct the medium and long-term generator unit combination optimization model of power system, obtain the initial start-stop strategy of generator unit in medium and long term;Again, based on the initial start-stop strategy of generator unit in medium and long term and boundary data global library, the safety check and decision calculation are carried out to each medium and long-term scheduling plan decision service, obtain corresponding safety check result and decision target value, and adjust start-stop scheme according to the calculation result, obtain the start-stop scheme of multi-service overall coordination machine group, and each service decision target result.The application provides medium and long-term scheduling decision overall coordination strategy considering multi-service scene, which can reduce the occurrence of congestion and other factors affecting power grid safety from medium and long-term scale, and improve the control ability of future state power grid operation safety margin.

Description

Technical Field

[0001] This invention belongs to the field of power system dispatch automation technology, specifically relating to a method, apparatus, memory, and device for coordinating multiple services in medium- and long-term dispatch plans. Background Technology

[0002] With the rapid growth of renewable energy grid-connected capacity and the increasing scale of electricity market transactions, day-ahead, intraday, and real-time short-term dispatch plans are insufficient to fully address challenges such as prioritizing renewable energy consumption and ensuring the rigid execution of traded electricity volumes. There is an urgent need to reserve space for renewable energy consumption and timely delivery of trading contracts through medium- and long-term dispatch planning decisions at the annual and monthly timescales, which offer greater optimization flexibility. Medium- and long-term renewable energy consumption capacity analysis, safety verification of medium- and long-term power outage maintenance plans, and safety verification of medium- and long-term electricity volumes have become key operations in the current medium- and long-term dispatch planning of provincial power grids.

[0003] Faced with new challenges such as the operation of ultra-high-voltage AC / DC hybrid power grids, the deepening of power market reforms and the execution of market-traded electricity volumes, and the rapid development of renewable energy grid connection while prioritizing its consumption, foreign power systems emphasize power market construction, using medium- and long-term power market mechanisms to address issues in medium- and long-term dispatch planning. Domestically, corresponding research has been conducted in the field of medium- and long-term dispatch planning, primarily focusing on core algorithms such as medium- and long-term unit combination optimization models and algorithms, medium- and long-term integrated power generation and transmission coordination optimization models and algorithms, medium- and long-term electricity security verification algorithms, and medium- and long-term renewable energy consumption capacity analysis algorithms.

[0004] However, current medium- and long-term dispatch planning decisions are constrained by factors such as business complexity and technical support conditions, focusing on individual decisions for each business scenario. Although some business data has been cross-referenced, the cross-relationships of specific businesses have not yet been straightened out, and there is a lack of overall coordination and decision-making among various business applications. The analysis of renewable energy consumption fails to accurately consider the impact of conventional generating unit contract power and power outage maintenance arrangements on transmission channels; the safety verification of contract power volume does not consider the impact of renewable energy generation and power outage plans; the medium- and long-term renewable energy consumption analysis, power outage plan safety verification, and power volume safety verification are mostly designed based on single business scenarios, without considering the potential changes in the future power grid model, and suffer from low computational efficiency. Summary of the Invention

[0005] The purpose of this invention is to provide a method, apparatus, memory, and device for coordinating multiple services in medium- and long-term dispatching plans. This method performs correlation analysis on various medium- and long-term dispatching decision-making services of the power system to obtain unit start-up and shutdown schemes that coordinate multiple services, as well as decision-making objectives for each service, thereby meeting the requirements for safe and economical power operation.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0007] This invention provides a method for coordinating multiple services in a medium- to long-term scheduling plan, comprising:

[0008] A long-term generator unit combination optimization model is constructed in the power system, and a global library containing business boundary data for medium- and long-term dispatching plans is called to solve the long-term generator unit combination optimization model in the power system to obtain the initial start-up and shutdown strategy of the generator units in the medium and long term; the medium and long term refers to the time range from month to year.

[0009] Based on the initial start-up and shutdown strategies of generator units in the medium and long term, safety verification and decision calculations are performed on each medium and long term dispatch plan decision business to obtain the corresponding safety verification results and decision target values. The medium and long term dispatch plan decision business includes: medium and long term power generation plan preparation business, medium and long term power safety verification business, medium and long term power balance analysis business, medium and long term maintenance plan safety verification business, and medium and long term renewable energy consumption capacity assessment business.

[0010] Based on the safety verification results and decision target values ​​of the medium- and long-term dispatch plan decision-making business, the start-up and shutdown strategies of generator units in the medium and long term are adjusted to generate generator unit start-up and shutdown strategies that coordinate multiple businesses in the medium- and long-term dispatch plan, as well as decision target values ​​for each business.

[0011] Furthermore, the global library containing business boundary data for medium- and long-term scheduling plan decisions includes:

[0012] Medium- and long-term system load forecast, medium- and long-term bus load forecast, medium- and long-term renewable energy output forecast, medium- and long-term tie line plan, medium- and long-term equipment maintenance plan, and medium- and long-term electricity trading plan;

[0013] The global library containing business boundary data for medium- and long-term scheduling plan decisions is located in...

[0014] For time-series data, curves with hourly time granularity are provided;

[0015] For non-time-series data, data within a medium to long-term scheduling time range is provided.

[0016] Furthermore, the process involves constructing a long-term generator unit combination optimization model for the power system and using a global library containing medium- and long-term dispatch plan decision-making business boundary data to solve the long-term generator unit combination optimization model, thereby obtaining the initial start-up and shutdown strategies for generator units in the medium and long term, including:

[0017] The objective function for constructing a long-term generator unit combination optimization model in a power system is:

[0018]

[0019] The objective function must satisfy the following constraints:

[0020]

[0021]

[0022] P i,min u i,t ≤P i,t ≤P i,max u i,t ;

[0023]

[0024]

[0025]

[0026] Where T is the number of time periods included in the calculation cycle, I is the total number of generator sets in the system, and P i,t Let C be the active power output variable of unit i during time period t. i S is the operating cost of unit i. i For the start-up cost of unit i, y i,τ W is a flag variable indicating whether unit i has changed its state from shutdown to startup during time period τ. t For the medium- to long-term renewable energy output forecast for time period t, K t For the medium- to long-term link plan in time period t, L t For the medium- to long-term system load forecast of time period t, R t For the system's spinning reserve requirement in time period t, P i,max and P i,min These represent the upper and lower limits of the output power of unit i, respectively, and u i,t Let z be the start-up / shutdown state variable of unit i during time period t. i,τ UT is a flag variable indicating whether unit i has changed its state from start-up to shutdown during time period τ. i and DT i Let P be the minimum start-up time and minimum downtime of unit i, respectively, and N be the set of grid nodes. n,t Let l be the power generation of grid node n during time period t. n,t For the medium- to long-term bus load forecast of power grid node n in time period t, S n,l,t The sensitivity of the injected power at grid node n during time period t based on the medium- and long-term equipment maintenance plan to the l-th branch is given. and p l These represent the upper and lower limits of the power flow in the l-th branch, respectively.

[0027] The long-term generator unit combination optimization model in the power system is solved using a mixed-integer programming method based on a commercial solver, yielding the initial start-up and shutdown strategy u for the generator units in the medium to long term. i,t .

[0028] Furthermore, based on the initial start-up and shutdown strategies of generator sets in the medium and long term, safety verification and decision calculations are performed on each medium and long-term scheduling plan decision-making operation to obtain the corresponding safety verification results and decision target values, including:

[0029] The process of preparing medium- and long-term power generation plans involves safety verification and decision-making calculations, including: based on the initial start-up and shutdown strategies of generator units in the medium and long term, considering load demand, unit operation requirements, and grid safety requirements, and with the goal of minimizing grid power generation costs, calculating the output plan of generator units to obtain the total grid power generation cost in the medium and long term and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term power generation plan.

[0030] The process of performing safety verification and decision-making calculations for medium- and long-term electricity safety verification includes: based on the initial start-up and shutdown strategy of generator units in the medium and long term, with the goal of minimizing the adjustment amount of the transaction contract, performing electricity safety verification on all transaction electricity, judging the feasibility of the transaction electricity, and obtaining the adjustment cost of the medium- and long-term transaction contract and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term electricity safety verification.

[0031] The analysis of medium- and long-term power balance involves safety verification and decision-making calculations, including: calculating the generation capacity and reserve status of generator units in the future medium- and long-term time periods based on the initial start-up and shutdown strategies of generator units in the medium- and long term, and obtaining the power surplus and the power purchase cost for medium- and long-term power shortages.

[0032] Safety verification and decision calculation are performed on the safety verification of medium- and long-term maintenance plans, including: generating AC power flow profiles for the safety verification of medium- and long-term maintenance plans based on the initial start-up and shutdown strategies of generator sets in the medium and long term; performing ground-state power flow analysis, static safety analysis and sensitivity analysis on the generated AC power flow profiles to obtain the corresponding safety constraint overruns and medium- and long-term overrun penalty costs.

[0033] The assessment of medium- and long-term renewable energy absorption capacity includes safety verification and decision calculation, such as: calculating the corresponding renewable energy absorption capacity based on the initial start-up and shutdown strategy of generator units in the medium and long term, and obtaining the renewable energy absorption amount and the penalty cost of medium- and long-term abandoned electricity.

[0034] Furthermore, the surplus electricity is calculated as follows:

[0035] Electricity surplus = Conventional generating unit operating capacity + Forecasted output of new energy sources + Planned tie-line construction - Forecasted system load;

[0036] The electricity purchase cost for the aforementioned power shortage is calculated as follows:

[0037]

[0038] Furthermore, the safety constraint exceeding the limit is calculated as follows:

[0039]

[0040] Where, ΔF l,t For branch l to exceed the safety constraint limit in time period t, F l,t For the power flow result of branch l in time period t, The upper limit of power flow for branch l;

[0041] The cost of exceeding the limit penalty is calculated as follows:

[0042] C l,t =ΔF l,t *B;

[0043] Among them, C l,t Let B be the penalty cost for branch l to exceed the limit in time period t, and let B be the penalty cost for exceeding the limit per unit of safety constraint.

[0044] Furthermore, the amount of new energy consumed is calculated as follows:

[0045]

[0046] Among them, w t The amount of new energy consumed during time period t;

[0047] The cost of the penalty for abandoned electricity is calculated as follows:

[0048]

[0049] Among them, C t Let be the penalty cost for the amount of electricity abandoned during time period t, and D be the penalty cost per unit of abandoned electricity.

[0050] Furthermore, based on the safety verification results and decision target values ​​of the medium- and long-term scheduling plan decision-making business, the medium- and long-term start-up and shutdown strategies of generator units are adjusted to generate a generator unit start-up and shutdown strategy that coordinates multiple businesses in the medium- and long-term scheduling plan, as well as the decision target values ​​of each business, including:

[0051] Based on the security verification results of each medium- and long-term scheduling plan decision-making business, determine whether each medium- and long-term scheduling plan business meets the security requirements, and whether the change in the total sum of the decision target values ​​of multiple businesses meets the convergence criterion.

[0052] If all conditions are met, the output will be the unit start-up and shutdown strategy for multi-service coordination in the medium- and long-term scheduling plan, as well as the decision target values ​​for each service.

[0053] Otherwise, the generator start-up and shutdown strategy is adjusted, and the safety verification and decision calculation of different medium- and long-term dispatch plan decision services are re-performed until all medium- and long-term dispatch plan services meet the safety requirements and the change in the total sum of the decision target values ​​of multiple services meets the convergence criterion. The generator start-up and shutdown strategy of the medium- and long-term dispatch plan with multi-service overall coordination, as well as the decision target values ​​of each service, are output.

[0054] Furthermore, the step of determining whether each medium- and long-term scheduling plan service meets security requirements based on the security verification results of each medium- and long-term scheduling plan decision service includes:

[0055] If the safety constraint exceeding the limit corresponding to the medium- and long-term power generation plan, the safety constraint exceeding the limit corresponding to the medium- and long-term power generation safety verification, and the safety constraint exceeding the limit corresponding to the medium- and long-term maintenance plan safety verification are all 0, then the safety requirements are met.

[0056] The total sum of the decision target values ​​for the multiple services is calculated as follows:

[0057] F = F1 + F2 + F3 + F4 + F5;

[0058] Where F is the total added value of the decision target value of multiple services in the medium and long term dispatch plan, F1 is the total generation cost of the power grid in the medium and long term, F2 is the adjustment cost of the medium and long term transaction contract, F3 is the power purchase cost for the medium and long term power shortage, F4 is the penalty cost for the medium and long term abandoned power, and F5 is the penalty cost for the medium and long term exceeding the limit.

[0059] The convergence criterion is:

[0060] |F-F0| / F0≤1%;

[0061] Wherein, F0 is the initial value of the total sum of multiple service target values ​​in the medium- and long-term scheduling plan.

[0062] A second aspect of the present invention provides a device for coordinating multiple services in a medium- and long-term scheduling plan, used to implement the aforementioned method for coordinating multiple services in a medium- and long-term scheduling plan, the device comprising:

[0063] The initial calculation module is used to construct a long-term generator unit combination optimization model in the power system, and call a global library containing business boundary data for medium- and long-term dispatching plans to solve the long-term generator unit combination optimization model in the power system, so as to obtain the initial start-up and shutdown strategy of the generator units in the medium and long term; the medium and long term refers to the time range from month to year.

[0064] The verification module is used to perform safety verification and decision calculations on various medium- and long-term dispatch plan decision-making operations based on the initial start-up and shutdown strategies of generator units in the medium and long term, and to obtain the corresponding safety verification results and decision target values. The medium- and long-term dispatch plan decision-making operations include: medium- and long-term power generation plan preparation, medium- and long-term power safety verification, medium- and long-term power balance analysis, medium- and long-term maintenance plan safety verification, and medium- and long-term renewable energy consumption capacity assessment.

[0065] The decision-making module is used to adjust the start-up and shutdown strategies of generator sets in the medium and long term based on the safety verification results and decision target values ​​of the medium and long term scheduling plan decision business. It generates generator set start-up and shutdown strategies that coordinate multiple businesses in the medium and long term scheduling plan, as well as decision target values ​​for each business.

[0066] A third aspect of the present invention provides a computer-readable storage medium for storing one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods described above.

[0067] A fourth aspect of the present invention provides an apparatus comprising,

[0068] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods described above.

[0069] The beneficial effects of this invention are as follows:

[0070] (1) This invention takes the combination of medium and long-term generating units as the core to construct a multi-business coordination strategy for medium and long-term dispatching plans. Based on the shared model and business personnel boundary data, it coordinates and shares the generating unit combination scheme, which can guide the future arrangement of various types of electricity trading plans, and quantitatively analyze and grasp the feasibility of medium and long-term dispatching plans, the clean energy absorption capacity and the safe operation boundary; and meet the needs of safe and economical power operation and full absorption of renewable energy.

[0071] (2) This invention provides a medium- and long-term scheduling decision-making coordination strategy that takes into account multiple business relationships. It can reduce the occurrence of grid security issues such as congestion on a medium- and long-term scale and improve the ability to control the future grid operation security margin.

[0072] (3) The method of the present invention does not require a large number of human resources, and the calculation speed can meet the needs of practical applications. It effectively solves the problems of traditional medium and long-term scheduling planning business requiring a large number of human resources, relying on experience, low efficiency, and difficulty in effectively considering the relationship between multiple businesses. It has broad prospects for promotion. Attached Figure Description

[0073] Figure 1 This is a flowchart of a method for coordinating multiple services in a medium-to-long-term scheduling plan, provided by an embodiment of the present invention.

[0074] Figure 2 This is a schematic diagram illustrating the specific implementation process of a medium-to-long-term scheduling plan with multi-service overall coordination, provided by another embodiment of the present invention. Detailed Implementation

[0075] The present invention will be further described below. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and should not be used to limit the scope of protection of the present invention.

[0076] Provincial power grids conduct multi-period quantitative assessments and optimization decisions on power system dispatch and operation over long periods, from monthly to annual. The specific business of medium- and long-term dispatch planning includes medium- and long-term power security verification, medium- and long-term unit combination and power generation plan optimization, medium- and long-term maintenance plan verification and optimization, medium- and long-term power balance refined analysis, and medium- and long-term renewable energy consumption and economic assessment.

[0077] The various business operations of the medium- and long-term dispatch plan are based on a shared model and data boundary, specifically including the power grid topology model, medium- and long-term load forecast data, renewable energy output forecast data, power generation, transmission and transformation equipment maintenance plan data, and power trading data. On this basis, the overall coordination and decision-making of multiple business operations of the dispatch plan are carried out.

[0078] Based on this, one embodiment of the present invention provides a method for multi-service overall coordination of medium- and long-term scheduling plans, see [link to relevant documentation]. Figure 1 ,include:

[0079] A long-term generator unit combination optimization model is constructed in the power system, and a global library containing long-term dispatch plan decision business boundary data is called to solve the constructed long-term generator unit combination optimization model in the power system to obtain the initial start-up and shutdown strategy of the generator units in the long term; the long term refers to the time range from month to year.

[0080] Based on the initial start-up and shutdown strategies of generator units in the medium and long term, safety verification and decision calculations are performed on each medium and long term dispatch plan decision business to obtain the corresponding safety verification results and decision target values. The medium and long term dispatch plan decision business includes: medium and long term power generation plan preparation business, medium and long term power safety verification business, medium and long term power balance analysis business, medium and long term maintenance plan safety verification business, and medium and long term renewable energy consumption capacity assessment business.

[0081] Based on the safety verification results and decision target values ​​of the medium- and long-term dispatch plan decision-making business, the start-up and shutdown strategies of generator units in the medium and long term are adjusted to generate generator unit start-up and shutdown strategies that coordinate multiple businesses in the medium- and long-term dispatch plan, as well as decision target values ​​for each business.

[0082] The second embodiment of the present invention provides a method for multi-service overall coordination of medium- and long-term scheduling plans. For details of the implementation process, please refer to [link / reference needed]. Figure 2 This includes the following steps:

[0083] S1. Construct a global library that includes business boundary data for medium- and long-term scheduling planning decisions to support data sharing among multiple business functions;

[0084] It should be noted that "medium to long term" refers to a time range from monthly to annual.

[0085] It should be noted that the medium- and long-term dispatch planning decision-making business includes medium- and long-term power generation planning, medium- and long-term power safety verification, medium- and long-term power balance analysis, medium- and long-term maintenance plan safety verification, and medium- and long-term renewable energy consumption capacity assessment.

[0086] It should be noted that the decision-making boundary data for medium- and long-term dispatching plans includes medium- and long-term system load forecasts, medium- and long-term bus load forecasts, medium- and long-term renewable energy output forecasts, medium- and long-term tie-line plans, medium- and long-term equipment maintenance plans, and medium- and long-term electricity trading plans.

[0087] For time-series data, curves with hourly time granularity are provided;

[0088] For non-time-series data, data within a medium to long-term scheduling time range is provided.

[0089] S2. Construct a long-term generator unit combination optimization model for the power system, and solve it using boundary data from the global library to obtain the initial start-up and shutdown strategies of the generator units in the medium and long term, thus forming the medium- and long-term unit combination global library; the specific implementation process is as follows:

[0090] S21. The objective function for constructing a long-term generator unit combination optimization model in a power system is:

[0091]

[0092] The objective function must satisfy the following constraints:

[0093]

[0094]

[0095] P i,min u i,t ≤P i,t ≤Pi,max u i,t ;

[0096]

[0097]

[0098]

[0099] Where T is the number of time periods included in the calculation cycle, I is the total number of generator sets in the system, and P i,t Let C be the active power output variable of unit i during time period t. i S is the operating cost of unit i. i For the start-up cost of unit i, y i,τ W is a flag variable indicating whether unit i has changed its state from shutdown to startup during time period τ. t For the medium- to long-term renewable energy output forecast for time period t, K t For the medium- to long-term link plan in time period t, L t For the medium- to long-term system load forecast of time period t, R t For the system's spinning reserve requirement in time period t, P i,max and P i,min These represent the upper and lower limits of the output power of unit i, respectively, and u i,t Let z be the start-up / shutdown state variable of unit i during time period t. i,τ UT is a flag variable indicating whether unit i has changed its state from start-up to shutdown during time period τ. i and DT i Let P be the minimum start-up time and minimum downtime of unit i, respectively, and N be the set of grid nodes. n,t Let l be the power generation of grid node n during time period t. n,t For the medium- to long-term bus load forecast of power grid node n in time period t, S n,l,t The sensitivity of the injected power at grid node n during time period t based on the medium- and long-term equipment maintenance plan to the l-th branch is given. and p l Let P represent the upper and lower bounds of the power flow in the l-th branch, respectively. i,t y i,t z i,t u i,t The unknown quantity to be solved.

[0100] The long-term generator unit combination optimization model of this power system is solved using a mixed-integer programming method based on a commercial solver, yielding the initial start-up and shutdown strategies u of the generator units in the medium and long term. i,t .

[0101] S3. Based on the global library of medium- and long-term unit combinations and the global library containing boundary data of medium- and long-term scheduling plan decision-making services, perform security verification and decision calculations on each medium- and long-term scheduling plan decision-making service to obtain the corresponding security verification results and decision target values; the specific implementation process is as follows:

[0102] Safety verification and decision calculation for medium- and long-term power generation planning: Based on the initial start-up and shutdown strategy of generator units in the medium and long term, considering load demand, unit operation requirements and grid safety requirements, with the goal of minimizing grid power generation cost, calculate the output plan of generator units, and obtain the total grid power generation cost in the medium and long term and the corresponding safety constraint limits.

[0103] The objective function for the safety verification of the power generation plan is as follows:

[0104]

[0105] The constraints required in solving the objective function include: system balance constraints, unit output upper and lower limit constraints, and branch power flow constraints.

[0106] The safety constraint limit is the difference between the branch power flow and the branch limit as calculated in the medium- and long-term power generation plan.

[0107] Safety verification and decision calculation for medium- and long-term electricity safety verification business: Based on the initial start-up and shutdown strategy of generator sets in the medium and long term, with the goal of minimizing the adjustment amount of the transaction contract, a detailed electricity safety verification is carried out on all transaction electricity to determine the feasibility of the transaction electricity and obtain the adjustment cost of the medium- and long-term transaction contract and the corresponding safety constraint limit.

[0108] The objective function for the power safety verification is:

[0109]

[0110] E 0,i For the transaction electricity parameters of unit i, E i Let E be the total power generation variable of unit i during the dispatch cycle. Compare the total power generation of unit i with its traded power to perform a power safety check. i Equal to E 0,i Then the transaction volume E 0,i It is feasible; otherwise, the transaction volume E 0,i Not feasible;

[0111] The safety constraint limit is the difference between the branch power flow and the branch limit for medium- and long-term power safety verification.

[0112] Safety verification and decision calculation for medium- and long-term power balance analysis: Based on the initial start-up and shutdown strategy of generator units in the medium and long term, calculate the generation capacity and reserve status of each time period in the future medium and long term, and obtain the power surplus and the power purchase cost of medium- and long-term power shortage.

[0113] The daily power surplus is calculated as follows: Power Surplus = Conventional Unit Operating Capacity + Forecasted Output of New Energy Sources + Planned Tie Lines - Forecasted System Load.

[0114] The cost of purchasing electricity during power shortages is calculated as follows:

[0115] Safety verification and decision calculation for medium- and long-term maintenance plan safety verification business: Based on the initial start-up and shutdown strategy of generator set in the medium and long term, the AC power flow section of the medium- and long-term maintenance plan safety verification is generated. The generated AC power flow section is subjected to ground state power flow analysis, static safety analysis and sensitivity analysis to obtain the corresponding safety constraint over-limit amount and medium- and long-term over-limit penalty cost.

[0116] The safety constraint limit for branch l in time period t is:

[0117]

[0118] The penalty cost for branch l to exceed the limit in time period t is:

[0119] C l,t =ΔF l,t *B;

[0120] Where, ΔF l,t For branch l to exceed the safety constraint limit in time period t, F l,t For the power flow result of branch l in time period t, Let B be the upper limit of power flow for branch l, and let B be the penalty cost for exceeding the safety constraint limit per unit, i.e., the penalty cost corresponding to exceeding the limit by 1MW.

[0121] Safety verification and decision-making calculations are performed for the medium- and long-term renewable energy absorption capacity assessment: Based on the initial start-up and shutdown strategies of generator units in the medium and long term, the corresponding renewable energy absorption capacity is calculated to obtain the renewable energy absorption amount and the penalty cost for medium- and long-term abandoned electricity.

[0122] The calculation of renewable energy consumption is as follows:

[0123]

[0124] The penalty cost for wasted electricity in time period t is:

[0125]

[0126] Among them, w tLet t be the amount of renewable energy consumed during time period t, and D be the penalty cost per unit of abandoned electricity, i.e., the penalty cost corresponding to 1MW of abandoned renewable energy.

[0127] S4. Based on the safety verification results and decision target values ​​of the medium- and long-term dispatch plan decision-making business, adjust the medium- and long-term start-up and shutdown strategies of generator units to generate a generator unit start-up and shutdown strategy that coordinates multiple businesses in the medium- and long-term dispatch plan, as well as the decision target values ​​of each business. The specific implementation process is as follows:

[0128] Based on the security verification results of each medium- and long-term scheduling plan decision-making business, determine whether each medium- and long-term scheduling plan business meets the security requirements, and whether the change in the total sum of the decision target values ​​of multiple businesses meets the convergence criterion.

[0129] If all conditions are met, the output will be the unit start-up and shutdown strategy for multi-service coordination in the medium- and long-term scheduling plan, as well as the decision target values ​​for each service.

[0130] Otherwise, the generator start-up and shutdown strategy is adjusted, and the safety verification and decision calculation of different medium- and long-term dispatch plan decision services are re-performed until all medium- and long-term dispatch plan services meet the safety requirements and the change in the total sum of the decision target values ​​of multiple services meets the convergence criterion. The generator start-up and shutdown strategy of the medium- and long-term dispatch plan with multi-service overall coordination, as well as the decision target values ​​of each service, are output.

[0131] The method for determining whether the medium- and long-term dispatch plan meets the safety requirements is as follows: if the safety constraint exceeding the limit corresponding to the medium- and long-term power generation plan, the safety constraint exceeding the limit corresponding to the medium- and long-term power safety verification, and the safety constraint exceeding the limit corresponding to the medium- and long-term maintenance plan safety verification are all 0, then the safety requirements are met.

[0132] The total added value of the decision target values ​​for multiple services in the medium- and long-term scheduling plan is calculated as follows:

[0133] F = F1 + F2 + F3 + F4 + F5;

[0134] Where F is the total added value of the decision target value of multiple services in the medium and long term dispatch plan, F1 is the total power generation cost of the medium and long term grid, F2 is the adjustment cost of the medium and long term transaction contract, F3 is the power purchase cost for medium and long term power shortage, F4 is the penalty cost for medium and long term abandoned power, and F5 is the penalty cost for medium and long term exceeding the limit.

[0135] The convergence criterion for multi-business decision-making in medium- and long-term scheduling plans is:

[0136] |F-F0| / F0≤1%;

[0137] F0 is the initial value of the total sum of multiple service target values ​​in the medium- and long-term scheduling plan, which is calculated based on the initial start-up and shutdown strategy.

[0138] This embodiment's method fully considers new energy transmission factors in medium- and long-term dispatch decisions, providing a reference for clean energy integration and system planned operation. Through medium- and long-term dispatch decision analysis, it examines the constraints of clean energy consumption, transmission, grid operation modes, and outage plans, quantifying the future boundaries of clean energy consumption and transmission capacity to guide future electricity trading plans. Simultaneously, this method fully considers the correlation between equipment outages and load levels, priority generation, unit start-up and shutdown, power balance, reserve margin, and clean energy consumption. It also incorporates maintenance plans and coordination strategies for medium- and long-term dispatch decisions, taking into account multiple operating scenarios and correlation analysis. This can reduce the occurrence of congestion and other factors affecting grid security at a medium- and long-term scale, improving the ability to control the future grid operation safety margin. This embodiment's method can be widely applied in provincial power grid medium- and long-term dispatch and operation decision systems.

[0139] This embodiment presents a research and attempt at multi-business coordination and decision-making in medium- and long-term dispatching plans based on actual power grid data. This method provides dispatching operators with a tool for medium- and long-term dispatching decisions, supporting the coordination and optimization of key business operations in medium- and long-term dispatching plans, such as medium- and long-term power generation planning, new energy consumption analysis, power outage maintenance planning, and safety verification of traded electricity. It helps to quantitatively analyze and grasp the feasibility of medium- and long-term dispatching plans, clean energy consumption capacity, and safe operation boundaries. Based on scientifically quantified analytical information, the plan results can be quantitatively interpreted. This method does not require a large amount of manpower, and its computational speed meets the needs of practical applications. It effectively solves the problems of traditional medium- and long-term dispatching planning operations, which require a large amount of manpower, rely on experience, are inefficient, and struggle to effectively consider the interrelationships of multiple businesses. It has broad prospects for widespread application.

[0140] A third embodiment of the present invention provides a multi-service coordination device for medium- and long-term scheduling plans, used to implement the multi-service coordination method for medium- and long-term scheduling plans described in Embodiment 1 or Embodiment 2 above. The device includes:

[0141] The initial calculation module is used to construct a long-term generator unit combination optimization model in the power system, and call a global library containing business boundary data for medium- and long-term dispatching plans to solve the long-term generator unit combination optimization model in the power system, so as to obtain the initial start-up and shutdown strategy of the generator units in the medium and long term; the medium and long term refers to the time range from month to year.

[0142] The verification module is used to perform safety verification and decision calculations on various medium- and long-term dispatch plan decision-making operations based on the initial start-up and shutdown strategies of generator units in the medium and long term, and to obtain the corresponding safety verification results and decision target values. The medium- and long-term dispatch plan decision-making operations include: medium- and long-term power generation plan preparation, medium- and long-term power safety verification, medium- and long-term power balance analysis, medium- and long-term maintenance plan safety verification, and medium- and long-term renewable energy consumption capacity assessment.

[0143] The decision-making module is used to adjust the generator set start-up and shutdown strategies in the medium and long term based on the safety verification results and decision target values ​​of the medium and long term scheduling plan decision business. It generates generator set start-up and shutdown strategies that coordinate multiple businesses in the medium and long term scheduling plan, as well as decision target values ​​for each business.

[0144] It is worth noting that this device embodiment corresponds to the above method embodiment. The implementation methods of the above method embodiments are all applicable to this device embodiment and can achieve the same or similar technical effects, so they will not be described in detail here.

[0145] A fourth embodiment of the present invention provides a computer-readable storage medium for storing one or more programs, the one or more programs including instructions that, when executed by a computing device, cause the computing device to perform any of the methods according to Embodiment 1 or Embodiment 2 above.

[0146] The fifth embodiment of the present invention provides a device comprising,

[0147] One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods according to Embodiment 1 or Embodiment 2.

[0148] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0149] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0150] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0151] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0152] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for multi-service coordination in medium- and long-term scheduling plans, characterized in that, include: A long-term generator unit combination optimization model is constructed in the power system, and a global library containing business boundary data for medium- and long-term dispatching plans is called to solve the long-term generator unit combination optimization model in the power system to obtain the initial start-up and shutdown strategy of the generator units in the medium and long term; the medium and long term refers to the time range from month to year. Based on the initial start-up and shutdown strategies of generator sets in the medium and long term, safety verification and decision calculations are performed on various medium and long term dispatching plans to obtain the corresponding safety verification results and decision target values. The medium- and long-term dispatch planning decision-making business includes: medium- and long-term power generation planning, medium- and long-term power safety verification, medium- and long-term power balance analysis, medium- and long-term maintenance plan safety verification, and medium- and long-term renewable energy consumption capacity assessment; the safety verification and decision calculation include: The process of preparing medium- and long-term power generation plans involves safety verification and decision-making calculations, including: based on the initial start-up and shutdown strategies of generator units in the medium and long term, considering load demand, unit operation requirements, and grid safety requirements, and with the goal of minimizing grid power generation costs, calculating the output plan of generator units to obtain the total grid power generation cost in the medium and long term and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term power generation plan. The process of performing safety verification and decision-making calculations for medium- and long-term electricity safety verification includes: based on the initial start-up and shutdown strategy of generator units in the medium and long term, with the goal of minimizing the adjustment amount of the transaction contract, performing electricity safety verification on all transaction electricity, judging the feasibility of the transaction electricity, and obtaining the adjustment cost of the medium- and long-term transaction contract and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term electricity safety verification. The analysis of medium- and long-term power balance involves safety verification and decision-making calculations, including: calculating the generation capacity and reserve status of generator units in the future medium- and long-term time periods based on the initial start-up and shutdown strategies of generator units in the medium- and long term, and obtaining the power surplus and the power purchase cost for medium- and long-term power shortages. Safety verification and decision calculation are performed on the safety verification of medium- and long-term maintenance plans, including: generating AC power flow profiles for the safety verification of medium- and long-term maintenance plans based on the initial start-up and shutdown strategies of generator sets in the medium and long term; performing ground-state power flow analysis, static safety analysis and sensitivity analysis on the generated AC power flow profiles to obtain the corresponding safety constraint overruns and medium- and long-term overrun penalty costs. Safety verification and decision calculations are performed for the assessment of medium- and long-term renewable energy consumption capacity, including: calculating the corresponding renewable energy consumption capacity based on the initial start-up and shutdown strategies of generator units in the medium and long term, and obtaining the renewable energy consumption amount and the penalty cost of medium- and long-term abandoned electricity. Based on the safety verification results and decision target values ​​of the medium- and long-term dispatch plan decision-making business, the start-up and shutdown strategies of generator units in the medium and long term are adjusted to generate generator unit start-up and shutdown strategies that coordinate multiple businesses in the medium- and long-term dispatch plan, as well as decision target values ​​for each business.

2. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 1, characterized in that, The global library containing operational boundary data for medium- and long-term scheduling plan decisions includes: Medium- and long-term system load forecast, medium- and long-term bus load forecast, medium- and long-term renewable energy output forecast, medium- and long-term tie line plan, medium- and long-term equipment maintenance plan, and medium- and long-term electricity trading plan; The global library containing business boundary data for medium- and long-term scheduling plan decisions is located in... For time-series data, curves with hourly time granularity are provided; For non-time-series data, data within a medium to long-term scheduling time range is provided.

3. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 2, characterized in that, The process involves constructing a long-term generator unit combination optimization model for the power system and solving the model using a global library containing business boundary data for medium- and long-term dispatch planning decisions. This yields the initial start-up and shutdown strategies for the generator units in the medium to long term, including: The objective function for constructing a long-term generator unit combination optimization model in a power system is: ； The objective function must satisfy the following constraints: ； ； ； ； ； ； in, To calculate the number of time periods contained in the period, This represents the total number of generator sets in the system. For the unit During the period The variable of active power output, For the unit Operating costs For the unit The startup cost, For the unit During the period Are there any flag variables indicating the change in state from shutdown to startup? For time period Medium- and long-term renewable energy output forecasts, For time period Medium- to long-term communication line plan, For time period Medium- and long-term system load forecasting For the system in time period Rotational backup requirements, and The units Upper and lower limits of output power For the unit During the period Start-up and shutdown status variables, For the unit During the period Are there any flag variables indicating the change in state from power-on to power-off? and The units Minimum startup time and minimum downtime. For the set of power grid nodes, For time period Grid nodes Power generation capacity, For time period Grid nodes Medium and long-term bus load forecasting For periods based on medium- to long-term equipment maintenance plans Grid nodes The injection power for the first The sensitivity of each branch, and They represent the first The upper and lower limits of the flow of a branch; The long-term generator unit combination optimization model of the power system is solved using a mixed integer programming method based on a commercial solver to obtain the initial start-up and shutdown strategies of the generator units in the medium and long term. .

4. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 3, characterized in that, The electricity surplus is calculated as follows: Electricity surplus = Conventional generating unit operating capacity + Forecasted output of renewable energy + Planned tie-line power supply - Forecasted system load; The cost of purchasing electricity during the power shortage is calculated as follows: 。 5. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 3, characterized in that, The calculation of the safety constraint exceeding the limit is as follows: ； in, branch road During the period The more limited the safety constraints, the better. branch road During the period The result of the trend branch road The upper limit of the trend; The cost of exceeding the limit penalty is calculated as follows: ； in, branch road During the period The cost of exceeding the limit The cost of penalties for exceeding safety constraints for a unit.

6. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 3, characterized in that, The calculation of the new energy consumption capacity is as follows: ， in, For time period The amount of new energy consumed; The cost of the penalty for abandoned electricity is calculated as follows: ； in, For time period The penalty cost for abandoned electricity Penalty cost per unit of abandoned electricity.

7. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 3, characterized in that, Based on the safety verification results and decision target values ​​of the medium- and long-term dispatch plan decision-making business, the start-up and shutdown strategies of generator units in the medium and long term are adjusted to generate generator unit start-up and shutdown strategies that coordinate multiple businesses in the medium- and long-term dispatch plan, as well as the decision target values ​​of each business, including: Based on the security verification results of each medium- and long-term scheduling plan decision-making business, determine whether each medium- and long-term scheduling plan business meets the security requirements, and whether the change in the total sum of the decision target values ​​of multiple businesses meets the convergence criterion. If all conditions are met, the output will be the unit start-up and shutdown strategy for multi-service coordination in the medium- and long-term scheduling plan, as well as the decision target values ​​for each service. Otherwise, the generator start-up and shutdown strategy is adjusted, and the safety verification and decision calculation of different medium- and long-term dispatch plan decision services are re-performed until all medium- and long-term dispatch plan services meet the safety requirements and the change in the total sum of the decision target values ​​of multiple services meets the convergence criterion. The generator start-up and shutdown strategy of the medium- and long-term dispatch plan with multi-service overall coordination, as well as the decision target values ​​of each service, are output.

8. The method for multi-service coordination of medium- and long-term scheduling plans according to claim 7, characterized in that, The step of determining whether each medium- and long-term scheduling plan service meets security requirements based on the security verification results of each medium- and long-term scheduling plan decision-making service includes: If the safety constraint exceeding the limit corresponding to the medium- and long-term power generation plan, the safety constraint exceeding the limit corresponding to the medium- and long-term power generation safety verification, and the safety constraint exceeding the limit corresponding to the medium- and long-term maintenance plan safety verification are all 0, then the safety requirements are met. The total sum of the decision target values ​​for the multiple services is calculated as follows: ； in, This represents the sum of the decision target values ​​for multiple services in the medium- and long-term scheduling plan. The total power generation cost of the power grid in the medium and long term. Adjusting costs for medium- and long-term transaction contracts To cover the cost of purchasing electricity during medium- to long-term power shortages, To account for the penalty costs of abandoned electricity in the medium and long term, To incur the cost of penalties for exceeding limits in the medium to long term; The convergence criterion is: ； in, This is the initial value of the total sum of multiple business target values ​​in the medium- and long-term scheduling plan.

9. A multi-service coordination device for medium- and long-term scheduling plans, characterized in that, The apparatus for implementing the multi-service coordination method for medium- and long-term scheduling plans according to any one of claims 1 to 8, the apparatus comprising: The initial calculation module is used to construct a long-term generator unit combination optimization model in the power system, and call a global library containing business boundary data for medium- and long-term dispatching plans to solve the long-term generator unit combination optimization model in the power system, so as to obtain the initial start-up and shutdown strategy of the generator units in the medium and long term; the medium and long term refers to the time range from month to year. The verification module is used to perform safety verification and decision calculations on various medium- and long-term dispatch plan decision-making operations based on the initial start-up and shutdown strategies of generator units in the medium and long term, and to obtain the corresponding safety verification results and decision target values. The medium- and long-term dispatch plan decision-making operations include: medium- and long-term power generation plan preparation, medium- and long-term power safety verification, medium- and long-term power balance analysis, medium- and long-term maintenance plan safety verification, and medium- and long-term renewable energy absorption capacity assessment. The specific implementation of the safety verification and decision calculation is as follows: The process of preparing medium- and long-term power generation plans involves safety verification and decision-making calculations, including: based on the initial start-up and shutdown strategies of generator units in the medium and long term, considering load demand, unit operation requirements, and grid safety requirements, and with the goal of minimizing grid power generation costs, calculating the output plan of generator units to obtain the total grid power generation cost in the medium and long term and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term power generation plan. The process of performing safety verification and decision-making calculations for medium- and long-term electricity safety verification includes: based on the initial start-up and shutdown strategy of generator units in the medium and long term, with the goal of minimizing the adjustment amount of the transaction contract, performing electricity safety verification on all transaction electricity, judging the feasibility of the transaction electricity, and obtaining the adjustment cost of the medium- and long-term transaction contract and the corresponding safety constraint limit; the safety constraint limit is the difference between the branch power flow and the branch limit in the medium- and long-term electricity safety verification. The analysis of medium- and long-term power balance involves safety verification and decision-making calculations, including: calculating the generation capacity and reserve status of generator units in the future medium- and long-term time periods based on the initial start-up and shutdown strategies of generator units in the medium- and long term, and obtaining the power surplus and the power purchase cost for medium- and long-term power shortages. Safety verification and decision calculation are performed on the safety verification of medium- and long-term maintenance plans, including: generating AC power flow profiles for the safety verification of medium- and long-term maintenance plans based on the initial start-up and shutdown strategies of generator sets in the medium and long term; performing ground-state power flow analysis, static safety analysis and sensitivity analysis on the generated AC power flow profiles to obtain the corresponding safety constraint overruns and medium- and long-term overrun penalty costs. Safety verification and decision calculations are performed for the assessment of medium- and long-term renewable energy consumption capacity, including: calculating the corresponding renewable energy consumption capacity based on the initial start-up and shutdown strategies of generator units in the medium and long term, and obtaining the renewable energy consumption amount and the penalty cost of medium- and long-term abandoned electricity. The decision-making module is used to adjust the start-up and shutdown strategies of generator sets in the medium and long term based on the safety verification results and decision target values ​​of the medium and long term scheduling plan decision business. It generates generator set start-up and shutdown strategies that coordinate multiple businesses in the medium and long term scheduling plan, as well as decision target values ​​for each business.

10. A computer-readable storage medium for storing one or more programs, characterized in that: The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any of the methods according to claims 1 to 8.

11. A device, characterized in that: include, One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for performing any of the methods according to claims 1 to 8.

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