Abstract
For the flexibility of Park load, a degree of positive and negative coupling between different loads is considered. And an active aggregation optimization method of park load is proposed based on flexibility and correlation degree. According to the scenario data of historical demand response, an optimization model is build, and a certain number of aggregates meeting the demand response scenarios are formed by active aggregation to guide the scheduling of daily operation periods. Through the optimization results, not only the optimal polymer is obtained, but also a certain number of standby polymers is obtained. While completing the response indicators issued by the power grid, the flexibility and relevance of the load in each park are fully applied to reduce the calculation scale of daily operation scheduling.
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