A Distributed Energy Storage Control Right Optimal Scheduling Method Oriented to Load Aggregators

Abstract

The invention discloses a load aggregator-oriented distributed energy storage control optimization scheduling method, which obtains system historical data for load forecasting and new energy output forecasting; establishes user operation self-scheduling objective functions equipped with distributed energy storage and user Self-scheduling constraints; establish the optimal purchase strategy and operation scheduling objective function of distributed energy storage control rights and the optimal purchase strategy and operation scheduling constraints of distributed energy storage control rights; determine the aggregation under the transaction mode of distributed energy storage control rights The energy storage purchase strategy and operation scheduling method of the provider, the purchase plan of optimizing the energy storage control right; the scheduling plan of the aggregator for user load; the cost reduction of users participating in the transaction and the economic benefits of the aggregator. The invention improves the utilization rate of distributed energy storage, reduces the peak-valley difference of the power system, and contributes to social benefits to a certain extent.

Description

technical field [0001] The invention belongs to the technical field of distributed energy storage scheduling, and in particular relates to a load aggregator-oriented distributed energy storage control optimization scheduling method. Background technique [0002] The promotion of distributed new energy systems is inseparable from distributed energy storage systems. Taking distributed photovoltaics as an example, when a large number of users in the grid install a certain amount of distributed photovoltaic systems, due to the fluctuation and randomness of photovoltaic output, these photovoltaic systems will bring challenges and harm to grid dispatching and even grid security. When distributed photovoltaic users configure a certain amount of distributed energy storage to form a photovoltaic storage system, through reasonable scheduling of distributed energy storage, the problems and problems brought about by the massive access of distributed power and the rapid growth of load ca...

AI Technical Summary

Problems solved by technology

Here, too low quotations for users to sell energy storage control rights will harm the interests of users themselves, and too high quotations will prevent aggregators from gaining benefits; and individual users participate in the optimal scheduling of energy storage load groups due to energy storage and load parameters. In the future, its own operating costs may increase or the interests of aggregators will be damaged, so there is an optimal purchase of energy storage control rights

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