<p>Consensus-based distributed coordinated scheduling of source-load-storage resources plays an important role in balancing energy demand and supply and improving renewable utilization in distribution grid. However, traditional consensus algorithm does not take into account the differentiated responsiveness of resources, and ignores the hierarchical scheduling of loads and energy storages with different potentials, classes, and motivations. To address these challenges, we propose a three-dimensional responsiveness-aware distributed coordinated scheduling algorithm of source-load-storage resources. It takes the source-load-storage resource units as agents to construct a multi-agent system, and constructs adjacency matrix elements based on differentiated responsiveness such as output capacity, ramp rate and control incremental cost, which improves efficiency of state information iteration. Moreover, a hierarchical scheduling mechanism of flexible load is developed to fully release the potentials of the demand-side by integrating differentiated compensation mechanisms, incentive mechanisms, and an improved consensus algorithm. The proposed method reduces the scheduling costs of the power grid, while also improves the response speed of distributed coordinated scheduling to enhance the stability of the power grid. Simulation results verify that compared with baseline algorithms, the total cost of the proposed algorithm is reduced by 22.81%, and the convergence time is reduced by 31.71% and 28.21%, respectively.</p>

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Three-dimensional responsiveness-aware consensus-based coordinated scheduling of distributed resources in distribution grid

  • Liqun Han,
  • Wenhao Gao,
  • Haiyuan Xie,
  • Baoyu Zhang,
  • Longtan Li,
  • Wenxin Wang,
  • Jiahao Zhang,
  • Yiming Chen,
  • Xiaomei Chen

摘要

Consensus-based distributed coordinated scheduling of source-load-storage resources plays an important role in balancing energy demand and supply and improving renewable utilization in distribution grid. However, traditional consensus algorithm does not take into account the differentiated responsiveness of resources, and ignores the hierarchical scheduling of loads and energy storages with different potentials, classes, and motivations. To address these challenges, we propose a three-dimensional responsiveness-aware distributed coordinated scheduling algorithm of source-load-storage resources. It takes the source-load-storage resource units as agents to construct a multi-agent system, and constructs adjacency matrix elements based on differentiated responsiveness such as output capacity, ramp rate and control incremental cost, which improves efficiency of state information iteration. Moreover, a hierarchical scheduling mechanism of flexible load is developed to fully release the potentials of the demand-side by integrating differentiated compensation mechanisms, incentive mechanisms, and an improved consensus algorithm. The proposed method reduces the scheduling costs of the power grid, while also improves the response speed of distributed coordinated scheduling to enhance the stability of the power grid. Simulation results verify that compared with baseline algorithms, the total cost of the proposed algorithm is reduced by 22.81%, and the convergence time is reduced by 31.71% and 28.21%, respectively.