| abstract |
The invention belongs to the technical field of power demand side management, and in particular relates to a residential user power consumption optimization strategy considering a differentiated demand response scheme. The characteristics of the occurrence probability and the benchmark capacity of the similar patterns are developed; S2. Aiming at the ambiguity of resident user behavior and the limitations of long-term portraits, build a demand response adaptation user optimization mechanism that takes into account dual time scales; S3. For the price type Select users, and use fuzzy clustering model to reconstruct the electricity price period; S4, comprehensive price-based and incentive-based differentiated demand response scheme identification methods, establish a robust decision-making framework for source-load interaction between day and day two periods; provide a way to improve demand response potential The decision-making accuracy of user preference, improving the level of source-load matching, user response willingness and wind and light consumption level, considering the differentiated demand response scheme of residential users' electricity optimization strategy. |