基于聚類場景分析的風電場無功二層規(guī)劃研究
發(fā)布時間:2018-12-12 02:00
【摘要】:隨著風力發(fā)電技術不斷發(fā)展,風電功率的隨機性和波動性會對風電場的無功電壓帶來影響,進而影響電力系統(tǒng)的安全穩(wěn)定運行。目前,對于風電場的無功電壓運行要求和考核力度也在不斷加大,需要通過配置無功補償裝置保證風電場的無功電壓穩(wěn)定。在實際工程中,往往綜合利用電容器組和動態(tài)無功補償裝置對風電場進行集中補償,如何合理規(guī)劃配置這兩類無功補償裝置,在經濟性和補償效果上達到最優(yōu),需要進一步研究。本文首先介紹了風電場內的無功設備,并分析各個無功設備在實際運行中的無功調節(jié)特性;通過實際風電場算例,研究分析了風電場無功電壓特性,以此說明風電場無功補償裝置配置的必要性。針對風電場無功規(guī)劃的場景問題,通過基于動態(tài)時間彎曲的層次聚類法,對平均風電功率曲線進行聚類分析,從中提取典型場景及其概率,用以描述風電功率的整體波動特性;并且引入局部波動數(shù)值的概念,利用局部波動數(shù)值的概率分布來表征風電功率的局部波動特性。為了使所配置的無功補償裝置最大限度滿足風電場實際運行的無功需求,本文建立兩階段無功優(yōu)化模型,有效地處理離散無功設備和動態(tài)無功補償裝置在時間尺度上的協(xié)調配合問題,并分別采用遺傳算法和原對偶內點法求解;在此基礎上,結合所構造的無功規(guī)劃場景,進一步提出風電場無功二層規(guī)劃模型,綜合考慮經濟性和運行穩(wěn)定性,對無功補償裝置進行優(yōu)化配置。最后通過實際算例驗證本文方法的合理性和實用性。
[Abstract]:With the development of wind power generation technology, the randomness and fluctuation of wind power will affect the reactive power and voltage of wind farm, and then affect the safe and stable operation of power system. At present, the reactive power and voltage operation requirements and assessment of wind farms are also increasing, so it is necessary to ensure the stability of reactive power and voltage of wind farms through the allocation of reactive power compensation devices. In the actual project, the condenser bank and the dynamic reactive power compensator are often used to compensate the wind farm centrally. How to plan and dispose these two kinds of reactive power compensator reasonably, the economy and the compensation effect are optimized. Further study is needed. In this paper, the reactive power equipment in wind farm is introduced, and the reactive power regulation characteristics of each reactive power equipment in actual operation are analyzed. In this paper, the reactive power and voltage characteristics of wind farm are studied and analyzed by an example of actual wind farm, and the necessity of configuration of reactive power compensator in wind farm is explained. Aiming at the scenario problem of reactive power planning in wind farm, the average wind power curve is analyzed by hierarchical clustering method based on dynamic time bending, and the typical scenarios and their probabilities are extracted from them to describe the overall fluctuation characteristics of wind power. The concept of local wave value is introduced, and the probability distribution of local wave value is used to characterize the local fluctuation characteristic of wind power. In order to maximize the reactive power requirement of wind farm, a two-stage reactive power optimization model is established in this paper. The coordination problem of discrete reactive power equipment and dynamic reactive power compensator on time scale is effectively dealt with, and the genetic algorithm and the original dual interior point method are used to solve the problem, respectively. On this basis, combined with the constructed reactive power planning scenario, a two-layer reactive power planning model for wind farm is proposed. Considering the economy and operation stability, the reactive power compensator is configured optimally. Finally, the rationality and practicability of this method are verified by practical examples.
【學位授予單位】:華北電力大學(北京)
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TM614
[Abstract]:With the development of wind power generation technology, the randomness and fluctuation of wind power will affect the reactive power and voltage of wind farm, and then affect the safe and stable operation of power system. At present, the reactive power and voltage operation requirements and assessment of wind farms are also increasing, so it is necessary to ensure the stability of reactive power and voltage of wind farms through the allocation of reactive power compensation devices. In the actual project, the condenser bank and the dynamic reactive power compensator are often used to compensate the wind farm centrally. How to plan and dispose these two kinds of reactive power compensator reasonably, the economy and the compensation effect are optimized. Further study is needed. In this paper, the reactive power equipment in wind farm is introduced, and the reactive power regulation characteristics of each reactive power equipment in actual operation are analyzed. In this paper, the reactive power and voltage characteristics of wind farm are studied and analyzed by an example of actual wind farm, and the necessity of configuration of reactive power compensator in wind farm is explained. Aiming at the scenario problem of reactive power planning in wind farm, the average wind power curve is analyzed by hierarchical clustering method based on dynamic time bending, and the typical scenarios and their probabilities are extracted from them to describe the overall fluctuation characteristics of wind power. The concept of local wave value is introduced, and the probability distribution of local wave value is used to characterize the local fluctuation characteristic of wind power. In order to maximize the reactive power requirement of wind farm, a two-stage reactive power optimization model is established in this paper. The coordination problem of discrete reactive power equipment and dynamic reactive power compensator on time scale is effectively dealt with, and the genetic algorithm and the original dual interior point method are used to solve the problem, respectively. On this basis, combined with the constructed reactive power planning scenario, a two-layer reactive power planning model for wind farm is proposed. Considering the economy and operation stability, the reactive power compensator is configured optimally. Finally, the rationality and practicability of this method are verified by practical examples.
【學位授予單位】:華北電力大學(北京)
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TM614
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