考虑用户调节行为随机性的空调负荷聚合功率模型

大规模聚合空调负荷可通过需求响应改变其聚合功率,在削峰填谷、平衡新能源波动和提供辅助服务等方面可以发挥重要作用。建立能够描述空调负荷聚合特性的模型对电网调度而言具有实际意义。相较于对独立空调负荷模型的广泛研究,针对空调负荷聚合模型的研究相对滞后且建模时对参数的要求较高。文中以调节空调温度设定值的方法为基础,在考虑室外环境温度变化和用户调节行为随机性的背景下,基于状态队列模型的思路建立了简化的空调负荷聚合功率模型,能够有效减少调度时计算量和实时通信压力。通过仿真分析验证了该模型在电网应用中的准确性和可行性。

Aggregated Power Model of Air-conditioning Load Considering Stochastic Adjustment Behaviors of Consumers

Large-scale aggregated air-conditioning load can change its aggregated power through demand response, which plays an important role in peak shaving, balancing fluctuations of renewable energy and providing auxiliary service. For the dispatching of power grid, it has a practical meaning to establish a model to describe the characteristics of aggregated air-conditioning loads. Compared with the extensive researches on independent model for air-conditioning loads, there are few researches on aggregated model for air-conditioning loads which requires accurate parameters in modeling. Based on the method of adjusting the temperature setting of air-conditioning, this paper proposes a simplified aggregated power model for air-conditioning loads considering outdoor environment temperature variations and the stochastic adjustment behaviors of the consumers. In addition, the proposed model is simplified based on the state queuing model, which can effectively reduce computation burden and real-time communication pressure during dispatching. The accuracy and feasibility of the proposed model are verified through simulation analysis.