A bi-level optimal dispatch method for distribution networks and facility agricultural parks considering the regulation capability of power electronic devices and crop coupled growth characteristics
Year: 2026
Type: article
Abstract: Existing highly intelligent, large-scale, and industrialized facility agricultural parks (FAPs) often exhibit uncoordinated electricity consumption patterns, which not only lead to line overloads and voltage violations in rural distribution networks, but also increase the operating cost of FAPs. To address the insufficient characterization of crop growth characteristics in FAPs and the difficulty for flexible distribution networks to simultaneously ensure secure, economical operation and satisfy FAP crops growth requirements, this paper proposes a bi-level optimal dispatch method for distribution networks and FAPs considering the regulation capability of power electronic devices and crop coupled growth characteristics. First, the light-thermal-carbon coupled growth mechanisms of FAP crops are analyzed, and a light-thermal-carbon load balance model together with coupled crop growth indicators is established to quantitatively characterize crop growth demands. Second, a bi-level optimal dispatching model for the flexible distribution network and FAP is formulated. In the upper-level model, network losses, peak-valley difference, and line overload are minimized subject to power balance constraints and equipment regulation limits. In the lower-level model, the operating cost of the FAP and crop growth performance indicators are jointly optimized to determine the optimal electricity consumption strategy. Through iterative coordination between the upper and lower levels, collaborative optimization between the flexible distribution network and the FAP is achieved. Finally, case studies demonstrate that the proposed method can effectively reduce the operating cost of FAPs while ensuring normal crop growth, and simultaneously enhance the operational security and economic performance of the distribution network.
Source: Results in Engineering
Institution: China Agricultural University
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,940
Award: G1117292592
OpenAlex ID: W7155062887
