A high proportion of photovoltaic grid-connected consumption strategy based on “Source Grid Storage” coordination and interaction

This study aims to minimize the overall cost of wind power, photovoltaic power, energy storage, and demand response in the distribution network. It aims to solve the source-grid-load-storage coordination planning problem by considering demand response. Additionally, the study includes a deep analysis of the relationship between demand response, energy storage configuration, and system cost. A two-level planning model is established for wind power and photovoltaic power grid connection, including demand response, wind power, photovoltaic power, and energy storage. The model minimizes the sum of the differences between the total load and the total new energy generation after demand response in each time period as the bottom-level objective and minimizes the overall cost of the distribution network as the top-level objective, achieving the coordinated configuration of wind power, photovoltaic power, and energy storage. The simplex method is used to solve the model, and the improved IEEE33 node system is used as an example for verification. The simulation results fully prove the model’s correctness and the algorithm’s effectiveness, supporting the coordinated planning of distribution networks.

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A high proportion of photovoltaic grid-connected consumption strategy based on “Source Grid Storage” coordination and interaction

Cited by 3 publications

References 1 publication

Optimal Two-Level Allocation of Grid-Connected Capacity of PV Plants Based on Multi-state Modeling

Optimal Two-Level Allocation of Grid-Connected Capacity of PV Plants Based on Multi-state Modeling

Advancements, challenges, and future prospects of smart grid technology in India

Coordinated Control Strategy of Source-Grid-Load-Storage in Distribution Network Considering Demand Response

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