限风情况下风电场群有功分层协调控制策略研究
发布时间：2018-09-05 20:48
【摘要】：近年来,中国风电产业发展保持高速增长势头,在“建设大基地、融入大电网”的风电发展战略指导下,我国风电已由小规模分散开发、就地消纳逐步向大规模集中开发、远距离高压输送方向发展。然而,在我国风电规模化快速发展的同时,发展过程中的一些矛盾逐渐显露出来,部分地区由于风电开发过于集中,并网外送通道建设滞后、系统调峰能力不足等原因,导致风电并网和消纳困难,弃风限电问题日益严峻。在短期内因电网消纳能力有限而致使风电弃风的情况下,如何协调控制风电场群内各单场以及场内各机组的有功出力,实现各单场和场内各机组之间出力任务的优化分配,成为当前急需解决的问题。开展这一领域的研究对于提高电网的风电消纳能力,减少弃风损失电量,以及提升风电场群调度运行的精细化水平具有现实意义。本文首先分析了风电功率的波动特性,以均值、标准差、一阶差分等为统计量指标,基于实测数据研究了单场、场群以及全省的风电出力波动及概率分布情况。在此基础上,研究了导致电网限风的主要原因,从电网的调峰能力、风电的消纳能力和传输通道受限三个方面分析了影响电网限风的主要因素;然后,在分析了风电场有功调度技术要求及运行控制的基础上,研究了风电场的有功功率分配策略,建立了三种风电功率分配策略模型,用于限风时段下分配各个风电场有功出力任务,通过计算风电场群的总出力及相应的弃风损失电量对上述策略的可行性和优越性进行分析,为风电的调控提供优化解决方案。最后,提出一种适用于限风情况下的风电场群有功分层协调控制策略。基于分层分区思想,建立新型风电场群有功分配两层调控模型,通过协调控制风电场群内各单场和场内各机组的有功出力,实现风电限值的逐层分解和有功出力任务的分步执行。以基于标准遗传算法的改进的遗传算法对模型进行求解,优化分配各单场和机组出力任务。以东北某实际风电场群为例验证所提策略的可行性和有效性。通过算例分析表明,所提策略能够实现各单场和场内各机组之间出力任务的优化分配,提高了电网的风电消纳能力以及系统运行的经济性。
[Abstract]:In recent years, China's wind power industry has maintained a high growth momentum. Under the guidance of the wind power development strategy of "building large bases and integrating into large power grids," China's wind power has been developed from a small scale to a decentralized development, and local absorption has gradually turned to large-scale centralized development. Long distance high pressure transportation development. However, with the rapid development of wind power in our country, some contradictions in the process of wind power development are gradually revealed. Due to the concentration of wind power development in some areas, the construction of transmission channels to the outside of the power grid is lagging behind, and the peak shaving capacity of the system is insufficient, and so on. As a result of wind power grid connection and absorption difficulties, abandon wind power limit problem is becoming more and more serious. In the short term, when wind power is abandoned due to the limited absorption capacity of the power grid, how to coordinate and control the active power output of each single field in the wind farm group and the units in the field, so as to realize the optimal distribution of the generating force task between the single field and the field unit. It has become an urgent problem to be solved. The research in this field is of practical significance for improving the wind power absorption capacity of the power grid, reducing the power loss of abandoned wind, and improving the fine level of wind farm group dispatching and operation. In this paper, the fluctuation characteristics of wind power are analyzed at first. Taking mean value, standard deviation and first order difference as statistic indexes, the fluctuation and probability distribution of wind power output force in single field, field group and whole province are studied based on the measured data. On this basis, the main causes of wind limiting are studied, and the main factors that affect the wind limitation are analyzed from three aspects: peak shaving capacity, wind absorption capacity and transmission channel limitation. On the basis of analyzing the technical requirements of active power dispatching and operation control of wind farm, the active power allocation strategy of wind farm is studied, and three kinds of wind power distribution strategy models are established. It is used to distribute the active power of each wind farm during the wind limiting period. The feasibility and superiority of the above strategy are analyzed by calculating the total output force of the wind farm group and the corresponding power loss of the wind farm group, thus providing an optimized solution for the regulation and control of wind power. Finally, an active power hierarchical coordinated control strategy for wind farms is proposed. Based on the idea of stratification and partitioning, a two-layer control model of active power distribution in a new wind farm group is established, and the active power output of each single field and unit in the wind farm cluster is controlled by coordination. The wind power limit is decomposed layer by layer and the active power output task is carried out step by step. The improved genetic algorithm based on the standard genetic algorithm is used to solve the model, and each single field and unit output task is optimized. The feasibility and effectiveness of the proposed strategy are verified by an actual wind farm group in Northeast China. The analysis of examples shows that the proposed strategy can achieve the optimal allocation of the output tasks among the units in each field and field, and improve the wind power absorption capacity of the power grid and the economy of the system operation.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614
[Abstract]:In recent years, China's wind power industry has maintained a high growth momentum. Under the guidance of the wind power development strategy of "building large bases and integrating into large power grids," China's wind power has been developed from a small scale to a decentralized development, and local absorption has gradually turned to large-scale centralized development. Long distance high pressure transportation development. However, with the rapid development of wind power in our country, some contradictions in the process of wind power development are gradually revealed. Due to the concentration of wind power development in some areas, the construction of transmission channels to the outside of the power grid is lagging behind, and the peak shaving capacity of the system is insufficient, and so on. As a result of wind power grid connection and absorption difficulties, abandon wind power limit problem is becoming more and more serious. In the short term, when wind power is abandoned due to the limited absorption capacity of the power grid, how to coordinate and control the active power output of each single field in the wind farm group and the units in the field, so as to realize the optimal distribution of the generating force task between the single field and the field unit. It has become an urgent problem to be solved. The research in this field is of practical significance for improving the wind power absorption capacity of the power grid, reducing the power loss of abandoned wind, and improving the fine level of wind farm group dispatching and operation. In this paper, the fluctuation characteristics of wind power are analyzed at first. Taking mean value, standard deviation and first order difference as statistic indexes, the fluctuation and probability distribution of wind power output force in single field, field group and whole province are studied based on the measured data. On this basis, the main causes of wind limiting are studied, and the main factors that affect the wind limitation are analyzed from three aspects: peak shaving capacity, wind absorption capacity and transmission channel limitation. On the basis of analyzing the technical requirements of active power dispatching and operation control of wind farm, the active power allocation strategy of wind farm is studied, and three kinds of wind power distribution strategy models are established. It is used to distribute the active power of each wind farm during the wind limiting period. The feasibility and superiority of the above strategy are analyzed by calculating the total output force of the wind farm group and the corresponding power loss of the wind farm group, thus providing an optimized solution for the regulation and control of wind power. Finally, an active power hierarchical coordinated control strategy for wind farms is proposed. Based on the idea of stratification and partitioning, a two-layer control model of active power distribution in a new wind farm group is established, and the active power output of each single field and unit in the wind farm cluster is controlled by coordination. The wind power limit is decomposed layer by layer and the active power output task is carried out step by step. The improved genetic algorithm based on the standard genetic algorithm is used to solve the model, and each single field and unit output task is optimized. The feasibility and effectiveness of the proposed strategy are verified by an actual wind farm group in Northeast China. The analysis of examples shows that the proposed strategy can achieve the optimal allocation of the output tasks among the units in each field and field, and improve the wind power absorption capacity of the power grid and the economy of the system operation.
【学位授予单位】：东北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM614
【参考文献】
相关期刊论文 前10条
1 钱政;裴岩;曹利宵;王婧怡;荆博;;风电功率预测方法综述[J];高电压技术;2016年04期
2 杨茂;杜刚;齐s，
本文编号：2225421
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