Site selection method and system for large thermal power generating unit of electric power system

Abstract

The invention discloses a site selection method for a large thermal power generating unit of a power system. The method comprises the following steps: acquiring data information of a target power system and each subordinate regional power grid; calculating to obtain current electric power surplus data, thermal power utilization hour data, an electric quantity gap value in the maximum load month and new energy utilization rate data of the target electric power system of each regional power grid subordinate to the target electric power system; calculating to obtain a change variance value of thermal power utilization hours of each regional power grid and change data of a new energy utilization rate of the target power system after a large thermal power generating unit is added to each regional power grid subordinate to the target power system; and calculating to obtain a site selection factor value of each regional power grid subordinate to the target power system, and completing site selection of the large thermal power generating unit of the target power system. The invention also discloses a system for realizing the site selection method of the large thermal power generating unit of the power system. According to the method, site selection of the large thermal power generating unit of the power system is achieved, and the method is higher in reliability, better in accuracy, more objective and more scientific.

Description

Technical Field

[0001] This invention belongs to the field of electrical automation, and specifically relates to a method and system for site selection of large thermal power units in a power system. Background Technology

[0002] With economic and technological development and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and daily life, bringing endless convenience. Therefore, ensuring a stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Currently, an increasing number of new energy power generation systems are being integrated into the power grid and generating electricity. The randomness and intermittency of these systems' output pose significant challenges to the safe and stable operation of the power system. Simultaneously, with the growth of power system load and the continuous increase in the proportion of new energy power generation, the demand for support and backup power is becoming more urgent. Therefore, large-scale thermal power units will remain the fundamental backup power source for the power system for a considerable period of time; moreover, large-scale thermal power units will continue to play an irreplaceable role in the power system.

[0004] Therefore, the site selection of large thermal power units is of great significance to the power system. Currently, the site selection schemes for large thermal power units generally adopt empirical methods, which involve analyzing and simulating the site selection of several nodes based on the experience of the power system. Furthermore, the site selection process typically only considers grid stability factors. However, this method relies heavily on empirical data, is highly subjective, considers few factors, and has poor reliability and accuracy. Summary of the Invention

[0005] One of the objectives of this invention is to provide a highly reliable, accurate, and objective scientific method for site selection of large thermal power units in power systems.

[0006] The second objective of this invention is to provide a system for implementing the site selection method for large thermal power units in the power system.

[0007] The site selection method for large thermal power units in a power system provided by this invention includes the following steps:

[0008] S1. Obtain data information on the target power system and its subordinate regional power grids;

[0009] S2. Based on the data obtained in step S1, calculate the current power surplus data, thermal power utilization hours data, power deficit value in the month of maximum load, and new energy utilization rate data of each regional power grid under the target power system;

[0010] S3. Based on the simulation scheme, the variance of the change in thermal power utilization hours of each regional power grid and the change in the new energy utilization rate of the target power system are calculated after adding large thermal power units to each regional power grid under the target power system.

[0011] S4. Based on the data obtained in steps S2 and S3, calculate the location factor values ​​for each regional power grid under the target power system;

[0012] S5. Based on the location factor values ​​obtained in step S4, complete the location selection of large thermal power units in the target power system.

[0013] Step S2, which involves calculating the current power surplus data, thermal power utilization hours data, renewable energy utilization rate data, and power deficit value in the peak load month for each regional power grid under the target power system based on the data information obtained in step S1, specifically includes the following steps:

[0014] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the current power surplus data of each regional power grid under the target power system. for , ;in This represents the current power surplus data of the i-th regional power grid under the target power system, where n is the total number of regional power grids under the target power system.

[0015] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the thermal power utilization hours data for each regional power grid under the target power system. for ;in, The current thermal power utilization hours of the i-th regional power grid under the target power system;

[0016] Based on the operational constraints of the target power system, production time-series simulation software is used to calculate the power shortage value of each regional power grid i under the target power system in the month of maximum load. for ;in Let i be the load power of each regional power grid i under the target power system in month k. Let i be the power generation of each regional power grid i under the target power system in month k.

[0017] The formula for calculation is:

[0018] In the formula Let i be the thermal power generation of each regional power grid i under the target power system in month k. Let i be the hydropower generation of each regional power grid i under the target power system in month k. Let i be the wind power generation of each regional power grid i under the target power system in month k. Let i be the photovoltaic power generation of each regional power grid i under the target power system in month k. Let i be the energy storage power generation of each regional power grid i under the target power system in month k. The AC tie-line power supply for each regional power grid i under the target power system in the kth month; Let k be the DC input power of each regional power grid i under the target power system in month k; where k represents a set number of maximum load months.

[0019] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the renewable energy utilization rate data of the target power system. for ;in, For the wind power generation of the target power system, The target power system's photovoltaic power generation. The amount of wind power curtailment in the target power system. The amount of photovoltaic power curtailed in the target power system.

[0020] Step S3 calculates the variance of the change in thermal power utilization hours in each regional power grid after adding large thermal power units to the target power system. This calculation includes the following steps:

[0021] The plan is to add large thermal power units to each regional power grid under the target power system.

[0022] Using production time-series simulation software, the thermal power utilization hours of each regional power grid j were calculated. for ;in, This represents the number of thermal power utilization hours of regional power grid i after the addition of large thermal power units to regional power grid j. ;

[0023] According to the obtained The changes in thermal power utilization hours after the addition of large thermal power units to the power grid in each region were calculated. for ;in This represents the change in thermal power utilization hours in regional power grid i after adding a large thermal power unit to regional power grid j. ;

[0024] The average change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for ;

[0025] Finally, the variance of the change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for .

[0026] Step S3 calculates the changes in the renewable energy utilization rate of the target power system after adding large-scale thermal power units to various regional power grids under the target power system. This calculation includes the following steps:

[0027] The plan is to add large thermal power units to each regional power grid under the target power system.

[0028] Using production time-series simulation software, the renewable energy utilization rate of the target power system after adding large-scale thermal power units was calculated. :

[0029] In the formula To determine the wind power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To determine the photovoltaic power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of wind power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of solar power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system;

[0030] The change data of renewable energy utilization rate of the target power system were calculated. for .

[0031] Step S4, which involves calculating the location factor values ​​for each regional power grid under the target power system based on the data obtained in steps S2 and S3, specifically includes the following steps:

[0032] The location factor values ​​for each regional power grid under the target power system are calculated using the following formula:

[0033] In the formula This represents the location factor value of each regional power grid i under the target power system after adding large thermal power units.

[0034] Step S5, which involves selecting the location of large thermal power units in the target power system based on the location factor values ​​obtained in step S4, specifically includes the following steps:

[0035] The larger the location factor value of the target power system's regional power grid i, the less suitable it is to add large thermal power units to the target power system's regional power grid i.

[0036] The smaller the location factor value of the regional power grid i under the target power system, the more suitable it is to add large thermal power units to the regional power grid i under the target power system.

[0037] This invention also provides a system for implementing the site selection method for large thermal power units in the power system, comprising a data acquisition module, a basic calculation module, an update calculation module, a site selection calculation module, and a unit site selection module; the data acquisition module, basic calculation module, update calculation module, site selection calculation module, and unit site selection module are connected in series; the data acquisition module is used to acquire data information of the target power system and its subordinate regional power grids, and upload the data information to the basic calculation module; the basic calculation module is used to calculate, based on the received data information and the acquired data information, the current power surplus data, thermal power utilization hours data, the power shortage value in the month of maximum load, and the renewable energy utilization rate of the target power system for each regional power grid under the target power system. The system receives and uploads the data to the update calculation module. Based on the received data and a simulation scheme, the update calculation module calculates the variance of thermal power utilization hours in each regional power grid under the target power system and the change in the new energy utilization rate of the target power system after adding large thermal power units. This data is then uploaded to the site selection calculation module. The site selection calculation module, based on the received data and the obtained site selection factor values, calculates the site selection factor values ​​for each regional power grid under the target power system and uploads this data to the unit site selection module. Finally, the unit site selection module, based on the received data and the obtained site selection factor values, completes the site selection for the large thermal power units of the target power system.

[0038] The site selection method and system for large thermal power units in a power system provided by this invention simulates, analyzes, and calculates the thermal power utilization data and new energy utilization data before and after adding large thermal power units to the regional power grid under the target power system. This not only realizes the site selection of large thermal power units in the power system, but also makes the invention more reliable, more accurate, and more objective and scientific. Attached Figure Description

[0039] Figure 1 This is a schematic diagram of the method flow of the present invention.

[0040] Figure 2 This is a schematic diagram of the functional modules of the system of the present invention. Detailed Implementation

[0041] like Figure 1 The diagram shown is a flowchart of the method of the present invention: The site selection method for large thermal power units in power systems disclosed in this invention includes the following steps:

[0042] S1. Obtain data information on the target power system and its subordinate regional power grids;

[0043] S2. Based on the data obtained in step S1, calculate the current power surplus data, thermal power utilization hours data, power deficit value in the month of maximum load, and renewable energy utilization rate data of each regional power grid under the target power system; specifically including the following steps:

[0044] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the current power surplus data of each regional power grid under the target power system. for , ;in This represents the current power surplus data of the i-th regional power grid under the target power system, where n is the total number of regional power grids under the target power system.

[0045] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the thermal power utilization hours data for each regional power grid under the target power system. for ;in, The current thermal power utilization hours of the i-th regional power grid under the target power system;

[0046] Based on the operational constraints of the target power system, production time-series simulation software is used to calculate the power shortage value of each regional power grid i under the target power system in the month of maximum load. for ;in Let i be the load power of each regional power grid i under the target power system in month k. Let i be the power generation of each regional power grid i under the target power system in month k.

[0047] The formula for calculation is:

[0048] In the formula Let i be the thermal power generation of each regional power grid i under the target power system in month k. Let i be the hydropower generation of each regional power grid i under the target power system in month k. Let i be the wind power generation of each regional power grid i under the target power system in month k. Let i be the photovoltaic power generation of each regional power grid i under the target power system in month k. Let i be the energy storage power generation of each regional power grid i under the target power system in month k. The AC tie-line power supply for each regional power grid i under the target power system in the kth month; Let k be the DC input power of each regional power grid i under the target power system in month k; where k represents a set number of maximum load months. As a preferred option, the value of k is 4, corresponding to January, July, August and December respectively.

[0049] Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the renewable energy utilization rate data of the target power system. for ;in, For the wind power generation of the target power system, The target power system's photovoltaic power generation. The amount of wind power curtailment in the target power system. The amount of photovoltaic power curtailed in the target power system;

[0050] S3. Based on the simulation scheme, the variance of the change in thermal power utilization hours of each regional power grid and the change in the new energy utilization rate of the target power system are calculated after adding large thermal power units to each regional power grid under the target power system.

[0051] In practice, the variance of the change in thermal power utilization hours of each regional power grid after adding large thermal power units to each regional power grid under the target power system is calculated. The specific steps include the following:

[0052] The plan is to add large thermal power units to each regional power grid under the target power system.

[0053] Using production time-series simulation software, the thermal power utilization hours of each regional power grid j were calculated. for ;in, This represents the number of thermal power utilization hours of regional power grid i after the addition of large thermal power units to regional power grid j. ;

[0054] According to the obtained The changes in thermal power utilization hours after the addition of large thermal power units to the power grid in each region were calculated. for ;in This represents the change in thermal power utilization hours in regional power grid i after adding a large thermal power unit to regional power grid j. ;

[0055] The average change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for ;

[0056] Finally, the variance of the change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for ;

[0057] In practice, the calculation of the change in the renewable energy utilization rate of the target power system after adding large thermal power units to various regional power grids under the target power system includes the following steps:

[0058] The plan is to add large thermal power units to each regional power grid under the target power system.

[0059] Using production time-series simulation software, the renewable energy utilization rate of the target power system after adding large-scale thermal power units was calculated. :

[0060] In the formula To determine the wind power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To determine the photovoltaic power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of wind power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of solar power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system;

[0061] The change data of renewable energy utilization rate of the target power system were calculated. for ;

[0062] S4. Based on the data obtained in steps S2 and S3, calculate the location factor values ​​for each regional power grid under the target power system; specifically including the following steps:

[0063] The location factor values ​​for each regional power grid under the target power system are calculated using the following formula:

[0064] In the formula This represents the location factor value of each regional power grid i under the target power system after adding large thermal power units; This represents the sum of the electricity deficit over a set number of maximum load months; in practical implementation, if... If the overall value does not change much, then... The value is set directly to 1 to prevent the objective function value from being 0 simultaneously under different schemes;

[0065] The objective function indicates that the larger the power shortage and electricity gap of the i-th regional power grid in the months with the largest load, the smaller the impact of adding thermal power units to the i-th regional power grid on the utilization hours of thermal power in each regional power grid and the smaller the impact on the utilization rate of new energy in the province.

[0066] S5. Based on the location factor values ​​obtained in step S4, complete the location selection of large thermal power units in the target power system; specifically including the following steps:

[0067] The larger the location factor value of the target power system's regional power grid i, the less suitable it is to add large thermal power units to the target power system's regional power grid i.

[0068] The smaller the location factor value of the regional power grid i under the target power system, the more suitable it is to add large thermal power units to the regional power grid i under the target power system.

[0069] Therefore, from a technical perspective, the regional power grid with the smallest location factor value among the regional power grids under the target power system can be directly selected as the access address for large thermal power units.

[0070] The method of the present invention will be further described below with reference to an embodiment:

[0071] Taking a provincial power grid as an example, this grid is divided into six regional power grids, which are mainly connected by 500 kV AC interconnection lines. Table 1 shows the annual power shortage of each regional power grid from 2025 to 2030.

[0072] Based on the power balance analysis of the peak load months (January, July, August, and December) for the target years 2028-2030, the power balance of each regional power grid is shown in Table 2:

[0073] With 2028 as the target year for the study, the utilization rate of new energy in the province was analyzed, as shown in Table 3:

[0074] As can be seen from Table 3, the connection of new thermal power units to the power grid in different regions has not had a significant impact on the utilization rate of new energy sources in the entire province.

[0075] Further analysis of the impact of thermal power integration on the utilization hours of thermal power in various regional power grids is shown in Table 4:

[0076] Preliminary analysis of power balance and energy balance indicates that regional power grids A, B, and D all simultaneously experience power and energy shortages. Therefore, it can be determined that if new thermal power units are added, they will be preferentially located within these three regional power grids. Based on Tables 1-4, the following calculations can be performed:

[0077] Regional power grid A: ; ; ; ;

[0078] Regional power grid B: ; ; ; ;

[0079] Regional power grid D: ; ; ; ;

[0080] Based on the above results, the objective function value is calculated as follows:

[0081] Regional power grid A: ;

[0082] Regional power grid B: ;

[0083] Regional power grid D: ;

[0084] Therefore, based on the objective function value, it can be determined that if a new thermal power plant needs to be added to the provincial power grid, considering the power shortage, power balance, new energy utilization rate, and changes in thermal power utilization hours, a thermal power plant should be added to regional power grid A as a priority.

[0085] like Figure 2The diagram shows the functional modules of the system of the present invention: The system for implementing the site selection method of large thermal power units in the power system disclosed in this invention includes a data acquisition module, a basic calculation module, an update calculation module, a site selection calculation module, and a unit site selection module; the data acquisition module, the basic calculation module, the update calculation module, the site selection calculation module, and the unit site selection module are connected in series; the data acquisition module is used to acquire data information of the target power system and its subordinate regional power grids, and upload the data information to the basic calculation module; the basic calculation module is used to calculate the current power surplus data, thermal power utilization hours data, power shortage value in the maximum load month, and target power system data of the subordinate regional power grids based on the received data information and the acquired data information. The system collects new energy utilization rate data and uploads the data to the update calculation module. The update calculation module, based on the received data and a simulation scheme, calculates the variance of the thermal power utilization hours of each regional power grid and the change in the new energy utilization rate of the target power system after adding large thermal power units to each regional power grid under the target power system, and uploads the data to the site selection calculation module. The site selection calculation module, based on the received data and the obtained site selection factor values ​​of each regional power grid under the target power system, uploads the data to the unit site selection module. The unit site selection module, based on the received data and the obtained site selection factor values, completes the site selection of large thermal power units in the target power system.

Claims

1. A method for site selection of large thermal power units in a power system, comprising the following steps: S1. Obtain data information on the target power system and its subordinate regional power grids; S2. Based on the data obtained in step S1, calculate the current power surplus data, thermal power utilization hours data, power deficit value in the month of maximum load, and new energy utilization rate data of each regional power grid under the target power system; S3. Based on the simulation scheme, the variance of the change in thermal power utilization hours of each regional power grid and the change in the new energy utilization rate of the target power system are calculated after adding large thermal power units to each regional power grid under the target power system. S4. Based on the data obtained in steps S2 and S3, calculate the location factor values ​​for each regional power grid under the target power system; S5. Based on the location factor values ​​obtained in step S4, complete the location selection of large thermal power units in the target power system.

2. The site selection method for large thermal power units in a power system according to claim 1, characterized in that... Step S2, which involves calculating the current power surplus data, thermal power utilization hours data, renewable energy utilization rate data, and power deficit value in the peak load month for each regional power grid under the target power system based on the data information obtained in step S1, specifically includes the following steps: Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the current power surplus data of each regional power grid under the target power system. for , ;in This represents the current power surplus data of the i-th regional power grid under the target power system, where n is the total number of regional power grids under the target power system. Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the thermal power utilization hours data for each regional power grid under the target power system. for ;in, The current thermal power utilization hours of the i-th regional power grid under the target power system; Based on the operational constraints of the target power system, production time-series simulation software is used to calculate the power shortage value of each regional power grid i under the target power system in the month of maximum load. for ;in Let i be the load power of each regional power grid i under the target power system in month k. Let i be the power generation of each regional power grid i under the target power system in month k. The formula for calculation is: In the formula Let i be the thermal power generation of each regional power grid i under the target power system in month k. Let i be the hydropower generation of each regional power grid i under the target power system in month k. Let i be the wind power generation of each regional power grid i under the target power system in month k. Let i be the photovoltaic power generation of each regional power grid i under the target power system in month k. Let i be the energy storage power generation of each regional power grid i under the target power system in month k. The AC tie-line power supply for each regional power grid i under the target power system in the kth month; Let k be the DC input power of each regional power grid i under the target power system in month k; where k represents a set number of maximum load months. Based on the operational constraints of the target power system, production time-series simulation software was used to calculate the renewable energy utilization rate data of the target power system. for ;in, For the wind power generation of the target power system, The target power system's photovoltaic power generation. The amount of wind power curtailment in the target power system. The amount of photovoltaic power curtailed in the target power system.

3. The site selection method for large thermal power units in a power system according to claim 2, characterized in that... Step S3 calculates the variance of the change in thermal power utilization hours in each regional power grid after adding large thermal power units to the target power system. This calculation includes the following steps: The plan is to add large thermal power units to each regional power grid under the target power system. Using production time-series simulation software, the thermal power utilization hours of each regional power grid j were calculated. for ;in, This represents the number of thermal power utilization hours of regional power grid i after the addition of large thermal power units to regional power grid j. ; According to the obtained The changes in thermal power utilization hours after the addition of large thermal power units to the power grid in each region were calculated. for ;in This represents the change in thermal power utilization hours in regional power grid i after adding a large thermal power unit to regional power grid j. ; The average change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for ; Finally, the variance of the change in thermal power utilization hours after the addition of large thermal power units to the power grid in each region was calculated. for .

4. The site selection method for large thermal power units in a power system according to claim 3, characterized in that... Step S3 calculates the changes in the renewable energy utilization rate of the target power system after adding large-scale thermal power units to various regional power grids under the target power system. This calculation includes the following steps: The plan is to add large thermal power units to each regional power grid under the target power system. Using production time-series simulation software, the renewable energy utilization rate of the target power system after adding large-scale thermal power units was calculated. : In the formula To determine the wind power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To determine the photovoltaic power generation of the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of wind power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system, To reduce the amount of solar power curtailment in the target power system after adding large thermal power units to various regional power grids under the target power system; The change data of renewable energy utilization rate of the target power system were calculated. for .

5. The site selection method for large thermal power units in a power system according to claim 4, characterized in that... Step S4, which involves calculating the location factor values ​​for each regional power grid under the target power system based on the data obtained in steps S2 and S3, specifically includes the following steps: The location factor values ​​for each regional power grid under the target power system are calculated using the following formula: In the formula This represents the location factor value of each regional power grid i under the target power system after adding large thermal power units.

6. The site selection method for large thermal power units in a power system according to claim 5, characterized in that... Step S5, which involves selecting the location of large thermal power units in the target power system based on the location factor values ​​obtained in step S4, specifically includes the following steps: The larger the location factor value of the target power system's regional power grid i, the less suitable it is to add large thermal power units to the target power system's regional power grid i. The smaller the location factor value of the regional power grid i under the target power system, the more suitable it is to add large thermal power units to the regional power grid i under the target power system.

7. A system for implementing the site selection method for large thermal power units in a power system as described in any one of claims 1 to 6, characterized in that... It includes a data acquisition module, a basic calculation module, an update calculation module, a location calculation module, and a unit location module; these modules are connected in series. The data acquisition module acquires data information of the target power system and its subordinate regional power grids and uploads the data information to the basic calculation module. The basic calculation module calculates the current power surplus data, thermal power utilization hours data, power shortage value in the month of maximum load, and renewable energy utilization rate data of the target power system's subordinate regional power grids based on the received and acquired data information, and uploads the data information to the update calculation module. The update calculation module is used to calculate the variance of the thermal power utilization hours of each regional power grid and the change data of the new energy utilization rate of the target power system after adding large thermal power units to each regional power grid under the target power system, based on the received data and simulation scheme, and upload the data to the site selection calculation module. The location calculation module is used to calculate the location factor values ​​of each regional power grid under the target power system based on the received data information, and upload the data information to the unit location module; The unit location module is used to select the location of large thermal power units in the target power system based on the received data and the obtained location factor values.

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