A method and device for optimizing the peak shaving capacity of a thermal power unit in a power system
Patent Information
- Application Number
- CN202011031103.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2020-09-27
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2040-09-27
AI Technical Summary
[0002]近年来,新能源发展步伐加快,由于风电、光伏等新能源的发电出力具有随机性、间歇性和难以准确预测的特点,大规模新能源接入给电力系统调峰控制带来新的问题和挑战;例如某些地区气电成本高昂、经济性差;抽水蓄能电站建设规模不足、建设周期长,导致这些地区的电源结构以调节能力较弱的火电为主,电网调峰存在困难;此外,在一些地区,火电机组主要以供热机组为主,在供暖期为了满足供热需求,大多数供热机组只能以高负荷运行,机组调峰能力严重受限,导致新能源规模化开发与市场消纳能力不足的矛盾日益凸显
[0096]本发明提供的技术方案中,获取区域的风电弃电率;若区域的风电弃电率大于风电弃电率的预设阈值,则求解预先建立的火电机组容量优化计算模型,获取区域中参与调峰的火电机组调峰容量调节量;根据参与火电机组的初始调峰容量与参与调峰的火电机组调峰容量调节量之和,确定优化后的火电机组调峰容量;综合考虑风电弃电率控制目标和当前火电机组的调节能力,实现对火电机组的容量灵活性优化,可以为电网开展火电机组灵活性优化提供建设性建议。
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Figure CN114285083B_ABST
Abstract
Claims
1. A method for optimizing the peak-shaving capacity of thermal power units in a power system, characterized in that, The method includes: Obtain the wind power curtailment rate in the region; If the wind power curtailment rate in a region is greater than the preset threshold for wind power curtailment rate, then the pre-established thermal power unit capacity optimization calculation model is solved to obtain the peak-shaving capacity adjustment amount of the thermal power units participating in peak shaving in the region. The optimized peak-shaving capacity of the thermal power units is determined by the sum of the initial peak-shaving capacity of the participating thermal power units and the adjustment amount of the peak-shaving capacity of the participating thermal power units. The wind power curtailment rate of the acquired area includes: Determine the wind power curtailment rate of the region using the following formula : In the formula, , The total number of time periods. In the first t Wind curtailment power during a given time period In the first t Rated wind power capacity within a specific time period; Wherein, determined by the following formula : In the formula, In the first t The power generation capacity of wind power within a certain time period; Determine by the following formula : In the formula, In the first t Wind power absorption capacity within a specific time period; Determine by the following formula : In the formula, In the first t Power consumption of the load within a time period In the first t The sum of the minimum technical output of thermal power units, wind power units and other power generation units within a certain time period; Determine by the following formula : In the formula, , To optimize the total number of time periods, , , , M , N , O These refer to the number of generating units for thermal power plants, hydropower plants, and other power sources, respectively. In the first t Within the time period, the first m The minimum technical output of Taiwan's thermal power units In the first t Within the time period, the first n The minimum technical output of the Taiwan hydroelectric generator unit In the first t Within the time period, the first o The minimum technical output of other power units in Taiwan In the first t Within the time period, the first m Start-up and shutdown status of thermal power units in Taiwan. In the first t Within the time period, the first n Start-up and shutdown status of the hydroelectric power unit. In the first t Within the time period, the first o Start-up and shutdown status of other power units; in, , and The value can be either 0 or 1. When it is 0, it means that the unit is in a stopped state, and when it is 1, it means that the unit is in a powered-on state.
2. The method as described in claim 1, characterized in that, The pre-established thermal power unit capacity optimization calculation model includes: Objective function and constraints of thermal power unit capacity optimization calculation model established with the goal of minimizing total regulating capacity and pollutant emissions of thermal power units; The constraints include: wind power curtailment rate constraints, power load balance constraints, and thermal power unit output constraints. The thermal power units include pure condensing thermal power units and heating thermal power units.
3. The method as described in claim 2, characterized in that, The objective function of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula: In the formula, The target value for the thermal power unit capacity optimization calculation model, This refers to the total regulating capacity of the thermal power unit. This refers to the pollutant emissions from thermal power units. Wherein, determined by the following formula : Determine by the following formula : In the formula, , , This refers to the number of pure condensing thermal power units that need to be adjusted. The number of thermal power units requiring adjustment. For the first i The single-unit capacity of a pure condensing thermal power unit, For the first j The single-unit capacity of the Taiwan-powered thermal power unit, For the first i Peak-shaving pollutant emission coefficient of pure condensing thermal power units in Taiwan For the first j Peak-shaving pollutant emission coefficient of Taiwan's thermal power units. In the first t The number of units participating in peak shaving of pure condensing thermal power units within a certain time period. In the first t The number of thermal power units participating in peak shaving for heating within a given time period. In the first t Within the time period, the first i Peak-shaving capacity of pure condensing thermal power units In the first t Within the time period, the first j Peak-shaving capacity of thermal power units supplying heating in Taiwan.
4. The method as described in claim 2, characterized in that, The constraints for the wind power curtailment rate in the pre-established thermal power unit capacity optimization calculation model are determined by the following formula: In the formula, The preset threshold for wind power curtailment rate, In the first t Wind curtailment power during a given time period In the first t Within the time period, the first i Peak-shaving capacity of pure condensing thermal power units In the first t Within the time period, the first j Peak-shaving capacity of thermal power units supplying heating in Taiwan. In the first t The number of units participating in peak shaving of pure condensing thermal power units within a certain time period. In the first t The number of thermal power units participating in peak shaving for heating within a given time period. In the first t Rated wind power capacity within a specific time period; The power load balance constraints of the pre-established thermal power unit capacity optimization calculation model are determined by the following formula: In the formula, In the first t Within the time period, the first i The power generation output of the Taiwan pure condensing thermal power unit In the first t Within the time period, the first j The power generation output of Taiwan's thermal power units. For the first t Power output of other power sources during a given time period In the first t Wind power generation capacity within a given time period In the first t Power consumption of the load within a time period; The first step of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula. i Power generation output constraints of a pure condensing thermal power unit after adjustment: In the formula, For the first The minimum technical output of a pure condensing thermal power unit. For the first The maximum technical output of the Taiwan pure condensing thermal power unit For the first Peak-shaving capacity adjustment of pure condensing thermal power units; The first step of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula. j Power generation output constraints of Taiwan's thermal power units after adjustment: In the formula, For the first The minimum technical output of Taiwan's thermal power units for heating. For the first The maximum technical output of Taiwan's thermal power units. For the first Peak-shaving capacity adjustment of thermal power units supplying heat and electricity in Taiwan.
5. A device for optimizing the peak-shaving capacity of thermal power units in a power system, characterized in that, The device includes: The acquisition module is used to obtain the wind power curtailment rate of the region; The solution module is used to solve the pre-established thermal power unit capacity optimization calculation model if the wind power curtailment rate in a region is greater than a preset threshold for wind power curtailment rate, and to obtain the peak-shaving capacity adjustment amount of the thermal power units participating in peak shaving in the region. The adjustment module is used to determine the optimized peak-shaving capacity of the thermal power units based on the sum of the initial peak-shaving capacity of the participating thermal power units and the adjustment amount of the peak-shaving capacity of the participating thermal power units. The acquisition module is specifically used for: Determine the wind power curtailment rate of the region using the following formula : In the formula, , The total number of time periods. In the first t Wind curtailment power during a given time period In the first t Rated wind power capacity within a specific time period; Wherein, determined by the following formula : In the formula, In the first t The power generation capacity of wind power within a certain time period; Determine by the following formula : In the formula, In the first t Wind power absorption capacity within a specific time period; Determine by the following formula : In the formula, In the first t Power consumption of the load within a time period In the first t The sum of the minimum technical output of thermal power units, wind power units and other power generation units within a certain time period; Determine by the following formula : In the formula, , To optimize the total number of time periods, , , , M , N , O These refer to the number of generating units for thermal power plants, hydropower plants, and other power sources, respectively. In the first t Within the time period, the first m The minimum technical output of Taiwan's thermal power units In the first t Within the time period, the first n The minimum technical output of the Taiwan hydroelectric power unit In the first t Within the time period, the first o The minimum technical output of other power units in Taiwan In the first t Within the time period, the first m Start-up and shutdown status of Taiwan's thermal power units. In the first t Within the time period, the first n Start-up and shutdown status of the hydroelectric generator unit. In the first t Within the time period, the first o Start-up and shutdown status of other power units; in, , and The value can be either 0 or 1. When it is 0, it means that the unit is in a stopped state, and when it is 1, it means that the unit is in a powered-on state.
6. The apparatus as claimed in claim 5, characterized in that, The pre-established thermal power unit capacity optimization calculation model includes: Objective function and constraints of thermal power unit capacity optimization calculation model established with the goal of minimizing total regulating capacity and pollutant emissions of thermal power units; The constraints include: wind power curtailment rate constraints, power load balance constraints, and thermal power unit output constraints. The thermal power units include pure condensing thermal power units and heating thermal power units.
7. The apparatus as claimed in claim 6, characterized in that, The objective function of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula: In the formula, The target value for the thermal power unit capacity optimization calculation model, This refers to the total regulating capacity of the thermal power unit. This refers to the pollutant emissions from thermal power units. Wherein, determined by the following formula : Determine by the following formula : In the formula, , , This refers to the number of pure condensing thermal power units that need to be adjusted. The number of thermal power units requiring adjustment. For the first i The single-unit capacity of a pure condensing thermal power unit, For the first j The single-unit capacity of the Taiwan-powered thermal power unit, For the first i Peak-shaving pollutant emission coefficient of pure condensing thermal power units in Taiwan For the first j Peak-shaving pollutant emission coefficient of Taiwan's thermal power units. In the first t The number of units participating in peak shaving of pure condensing thermal power units within a certain time period. In the first t The number of thermal power units participating in peak shaving for heating within a given time period. In the first t Within the time period, the first i Peak-shaving capacity of pure condensing thermal power units In the first t Within the time period, the first j Peak-shaving capacity of thermal power units supplying heating in Taiwan.
8. The apparatus as claimed in claim 6, characterized in that, The constraints for the wind power curtailment rate in the pre-established thermal power unit capacity optimization calculation model are determined by the following formula: In the formula, The preset threshold for wind power curtailment rate, In the first t Wind curtailment power during a given time period In the first t Within the time period, the first i Peak-shaving capacity of pure condensing thermal power units In the first t Within the time period, the first j Peak-shaving capacity of thermal power units supplying heating in Taiwan. In the first t The number of condensing thermal power units participating in peak shaving within a given time period. In the first t The number of thermal power units participating in peak shaving for heating within a given time period. In the first t Rated wind power capacity within a specific time period; The power load balance constraints of the pre-established thermal power unit capacity optimization calculation model are determined by the following formula: In the formula, In the first t Within the time period, the first i The power generation output of the Taiwan pure condensing thermal power unit In the first t Within the time period, the first j The power generation output of Taiwan's thermal power units. For the first t Power output of other power sources during a given time period In the first t Wind power generation capacity within a given time period In the first t Power consumption of the load within a time period; The first step of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula. i Power generation output constraints of a pure condensing thermal power unit after adjustment: In the formula, For the first The minimum technical output of a pure condensing thermal power unit. For the first The maximum technical output of a pure condensing thermal power unit in Taiwan For the first Peak-shaving capacity adjustment of pure condensing thermal power units; The first step of the pre-established thermal power unit capacity optimization calculation model is determined by the following formula. j Power generation output constraints of Taiwan's thermal power units after adjustment: In the formula, For the first The minimum technical output of Taiwan's thermal power units for heating. For the first The maximum technical output of Taiwan's thermal power units. For the first Peak-shaving capacity adjustment of thermal power units supplying heat and electricity in Taiwan.
Citation Information
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