考虑需求响应的含大规模风电接入系统调度策略研究
发布时间：2019-04-01 19:06
【摘要】：随着全球能源形势日益紧张,新能源并网容量的大幅增加,可再生能源中风力发电具有极为广阔的发展前景。但是风资源的间歇性和不确定特性给其大规模并网运行带来严峻挑战。本文对风电场之间的出力相依结构进行建模,在此基础上综合考虑风电场出力相关性和需求响应,对含风电场系统的优化调度问题进行研究,所做工作如下:(1)对同一地区的风电场,先通过核密度估计法拟合各风电场功率的概率分布,再选取出Gumbel-Copula函数刻画风电场之间的出力相依结构,以贺兰山两风电场为例,建立了多风电场联合出力模型;(2)在风电场联合出力模型基础上,在调度体系中引入柔性负荷激励/补偿机制,以总运行费用最小、运行风险最小、污染气体排放量最小为多目标,提出计及风电输出相依结构和需求侧柔性负荷调峰的调度方法。模型的约束条件包括:功率平衡约束、各单元出力上下限约束、机组旋转备用容量、爬坡速率、最小起停时间约束、可中断负荷中断时间和中断次数约束;(3)采用基于差分进化策略的改进杂草入侵算法进行模型求解,并同时将本文所建模型与不考虑风功率相关性模型、不计及需求响应中柔性负荷效益模型的结果进行对比,从经济效益、环境效益、风电利用率等多角度深入分析不同模型效果;(4)对(2)中模型进一步改进,将风电功率、柔性负荷加以机会约束处理,建立多目标供需互动的随机调度模型。经过抽样平均近似后将随机模型转化为确定性模型求解,并与未改进之前的模型进行对比分析。算例分析表明,本文建立的考虑风电相关性和需求响应的随机优化调度策略体现出风电功率内在联系的同时,很好地利用了柔性负荷的潜在调峰效益;能够使系统运行于高效的负载水平,在兼顾经济效益和环境效益的同时,促进系统对风电的消纳。
[Abstract]:With the increasingly tense global energy situation and the large increase in the grid-connected capacity of new energy sources, wind power generation in renewable energy sources has a very broad prospect for development. However, the intermittent and uncertain characteristics of wind resources bring serious challenges to its large-scale grid-connected operation. In this paper, the output dependent structure among wind farms is modeled. On this basis, considering the correlation of wind farm output and demand response, the optimal scheduling problem of wind farm system with wind farm is studied. The work is as follows: (1) for the wind farm in the same area, the probability distribution of each wind farm power is fitted by the kernel density estimation method, and then the Gumbel-Copula function is selected to describe the output dependent structure of the wind farm. Taking Helanshan wind farm as an example, a combined output model of multi-wind farm is established. (2) on the basis of the combined output model of wind farm, the flexible load excitation / compensation mechanism is introduced into the dispatching system. The multi-objective is to minimize the total operating cost, the operation risk and the pollution gas emission. A scheduling method considering wind power output dependent structure and demand side flexible load shaving is proposed. The constraints of the model include: power balance constraint, unit output upper and lower limit constraints, unit rotation reserve capacity, climbing rate, minimum start and stop time constraints, interruptible load interrupt time and interrupt times constraints; (3) the improved weed intrusion algorithm based on differential evolution strategy is used to solve the model. At the same time, the results of the proposed model are compared with those of the flexible load benefit model without considering the wind power correlation model and taking into account the flexible load benefit model in the demand response. The effects of different models are analyzed from the aspects of economic benefit, environmental benefit and utilization ratio of wind power. (4) the model in (2) is further improved, and the wind power and flexible load are restricted by chance, and a stochastic scheduling model with multi-objective interaction between supply and demand is established. After sampling average approximation, the stochastic model is transformed into deterministic model and compared with the unimproved model. The numerical example shows that the stochastic optimal scheduling strategy considering wind power correlation and demand response reflects the inherent relationship of wind power and makes good use of the potential peak-shaving benefit of flexible load. It can make the system run at an efficient load level and promote the wind power consumption of the system while taking into account both economic and environmental benefits.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73
[Abstract]:With the increasingly tense global energy situation and the large increase in the grid-connected capacity of new energy sources, wind power generation in renewable energy sources has a very broad prospect for development. However, the intermittent and uncertain characteristics of wind resources bring serious challenges to its large-scale grid-connected operation. In this paper, the output dependent structure among wind farms is modeled. On this basis, considering the correlation of wind farm output and demand response, the optimal scheduling problem of wind farm system with wind farm is studied. The work is as follows: (1) for the wind farm in the same area, the probability distribution of each wind farm power is fitted by the kernel density estimation method, and then the Gumbel-Copula function is selected to describe the output dependent structure of the wind farm. Taking Helanshan wind farm as an example, a combined output model of multi-wind farm is established. (2) on the basis of the combined output model of wind farm, the flexible load excitation / compensation mechanism is introduced into the dispatching system. The multi-objective is to minimize the total operating cost, the operation risk and the pollution gas emission. A scheduling method considering wind power output dependent structure and demand side flexible load shaving is proposed. The constraints of the model include: power balance constraint, unit output upper and lower limit constraints, unit rotation reserve capacity, climbing rate, minimum start and stop time constraints, interruptible load interrupt time and interrupt times constraints; (3) the improved weed intrusion algorithm based on differential evolution strategy is used to solve the model. At the same time, the results of the proposed model are compared with those of the flexible load benefit model without considering the wind power correlation model and taking into account the flexible load benefit model in the demand response. The effects of different models are analyzed from the aspects of economic benefit, environmental benefit and utilization ratio of wind power. (4) the model in (2) is further improved, and the wind power and flexible load are restricted by chance, and a stochastic scheduling model with multi-objective interaction between supply and demand is established. After sampling average approximation, the stochastic model is transformed into deterministic model and compared with the unimproved model. The numerical example shows that the stochastic optimal scheduling strategy considering wind power correlation and demand response reflects the inherent relationship of wind power and makes good use of the potential peak-shaving benefit of flexible load. It can make the system run at an efficient load level and promote the wind power consumption of the system while taking into account both economic and environmental benefits.
【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73
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