基于需求响应的风电消纳源荷协调调度策略研究

发布时间：2018-12-07 12:01

【摘要】：风电作为清洁的可再生能源,在能源危机和环境恶化的背景下快速发展,然而风电具有随机波动性、间歇性等特点,大规模风电并网给系统的稳定运行带来了挑战。微网的发展可以缓解风电并网的难度,通过能源互补特性和储能设备的利用来平抑风电并网的部分波动,但是会明显降低系统运行的经济性,所以需要改变传统的调度模式,提高系统的灵活调度能力。需求响应是智能电网重要的互动资源,可以灵活快速响应系统需求,因而成为消纳风电的重要途径。本文研究基于需求响应的风电消纳源荷协调调度策略,旨在通过电源侧与需求侧资源的双向互动来提高系统的风电消纳能力。文中针对工业用户选用尖峰电价和可中断负荷机制,并采用场景分析法来模拟风电场景,对机组、储能设备和柔性负荷进行分析,考虑到风电预测误差的特性,建立了日前和日内的两阶段经济调度模型。随后,本文对居民用户选用实时电价和直接负荷控制机制参与系统的调度,从电网利益、用户满意度、环境的角度建立了多目标源荷协调调度模型,然后将多目标模型模糊化,用最大化满意度指标法转化成单目标问题进行求解。算例分析证明了所建模型的合理性和有效性。结果显示,对不同用户选用各自合适的需求响应机制,电源侧和需求侧资源能够进行灵活的互动,从而提高风电的消纳能力,优化了负荷曲线,降低了系统运行成本,对节能减排有一定的推动作用。所做研究可为今后探索需求侧资源促进风电消纳的优化调度提供参考。
[Abstract]:Wind power, as a clean renewable energy, is developing rapidly under the background of energy crisis and environmental deterioration. However, wind power has the characteristics of random volatility and intermittent, so large-scale wind power grid brings challenges to the stable operation of the system. The development of microgrid can alleviate the difficulty of wind power grid connection, through the complementary characteristics of energy and the utilization of energy storage equipment to calm some fluctuations of wind power grid, but it will obviously reduce the economy of system operation, so we need to change the traditional dispatching mode. Improve the flexible scheduling ability of the system. Demand response is an important interactive resource of smart grid. It can respond to system demand flexibly and quickly, so it becomes an important way to absorb wind power. In this paper, a coordinated scheduling strategy based on demand response is proposed to improve the wind power absorption capacity of the system through the two-way interaction between the power supply side and the demand side resources. In this paper, the peak electricity price and interruptible load mechanism are selected for industrial users, and the scenario analysis method is used to simulate the wind power scenario, and to analyze the unit, energy storage equipment and flexible load, taking into account the characteristics of wind power prediction error. A two-stage economic scheduling model of pre-day and inter-day is established. Then, this paper selects real-time electricity price and direct load control mechanism to participate in the dispatching of the system, establishes the multi-objective source load coordination scheduling model from the aspects of power network benefits, user satisfaction and environment, and then fuzzifies the multi-objective model. The maximum satisfaction index method is used to solve the single objective problem. An example shows the rationality and validity of the model. The results show that the power side and the demand side resources can interact flexibly for different users, which can improve the wind power absorption ability, optimize the load curve, and reduce the operating cost of the system. Energy conservation and emission reduction has a certain role in promoting. The research can provide a reference for exploring the demand side resources to promote the optimal scheduling of wind power consumption in the future.
【学位授予单位】：华北电力大学(北京)
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TM73

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