高比例新能源接入下计及工业负荷特性的电网需求响应调控策略

为挖掘需求侧调节潜力，提出一种高比例新能源接入下计及工业负荷特性的电网需求响应调控策略。设计一种基于工业负荷需求响应的滚动调度框架，通过分析不同类型工业负荷的生产特性，挖掘工业负荷的需求响应潜力；针对新能源和负荷的不确定性，提出一种结合特征损失的条件深度卷积生成对抗网络场景生成方法，为系统调控提供不同时间尺度下的典型场景集；基于生成的场景集，以系统总运行成本最小为目标，提出多场景随机规划结合随机模型预测控制方法，构建多时间尺度滚动调度优化模型，求得不同阶段工业负荷需求响应的最优策略。改进IEEE 30和IEEE 118节点系统的仿真结果验证了所提模型及策略的适用性和有效性。

Demand response regulation strategy for power grid accessed with high proportion of renewable energy considering industrial load characteristics

In order to extract the regulation potential of demand side, a demand response regulation strategy of power grid accessed with high proportion of renewable energy is proposed considering industrial load characteristics. A rolling scheduling framework based on industrial load demand response is designed, the demand response potential of industrial load is extracted by analyzing the production characteristics of different types of industrial loads. Aiming at the uncertainty of renewable energy and load, a conditional deep convolution generative adversarial network scenario generation method combined with feature loss is proposed to provide typical scenario sets under different time scales for system regulation. Based on the genera-ted scenario set, a multi-scenario stochastic programming combined with stochastic model predictive control method is proposed with the minimum total system operating cost as the object, a multi-time scale rolling scheduling optimization model is constructed, and the optimal strategy of industrial load demand response in different stages is obtained. The simulative results of improved IEEE 30-bus and IEEE 118-bus systems verify the applicability and effectiveness of the proposed model and strategy.