块调度模式下的智慧小区自动需求响应模型

智慧城市概念的兴起催生了一大批智慧小区试点项目，其完备的物联、调控和量测体系可支撑自动需求响应(Automated Demand Response, ADR)的顺利实施，如何设计智慧小区ADR模式来提高智慧小区运营商的需求响应可靠性、鲁棒性和成本效益，显得十分有必要。为此，提出了基于鲁棒优化的ADR模型，该模型以智慧小区经济效益最大为目标，为确保ADR调度计划的高度可实施性，设计了用于解决时段连续型ADR模式与居民用户用电规律相悖的块ADR策略，以及以所辖燃气轮机来平抑风电预测偏差的策略。所提模型通过嵌套分割算法求解，可保障最优解收敛于全局可行域。算例是在修改后的Garver-6节点系统中进行的，验证了所提模型的有效性。

Automatic demand response model of Intelligent Community in block scheduling mode

The rise of the concept of smart city has spawned a large number of pilot projects in smart community. Its complete IOT, regulation and measurement system can support the smooth implementation of automatic demand response (ADR). It is necessary to design ADR model of smart community to improve the reliability, robustness and cost-effectiveness of smart community operators. Therefore, an ADR model based on robust optimization is proposed. The model aims to maximize the economic benefits of smart residential areas. It includes two types of block ADR strategies to solve the contradiction between the continuous demand response mode and the electricity consumption law of residential users, and the strategy of using the gas turbine under its jurisdiction to stabilize the wind power forecast deviation. The nested segmentation algorithm is used to solve the model, so that the solution converges to the global feasible region. The example is carried out in the modified garver-6 node system to verify the effectiveness of the proposed model.