【摘要】 受外送通道传输容量及区域电网内部多维安全边界的限制，大规模新能源面临外送通道阻塞的严峻挑战。针对阻塞管理过程中联络线传输极限约束难以精确表征其传输能力及单一类型储能调节能力有限的问题，提出一种基于联络线传输功率可行域的多类型储能优化配置策略。首先，计及区域电网多维安全边界构建电网安全稳定运行空间，并基于顶点搜索法将其投影至联络线传输功率空间以刻画传输功率可行域；基于此，结合多类型储能的差异化互补调节潜力，本研究建立以综合经济收益最优为目标的多类型储能优化配置模型，利用混合整数线性规划(MILP)求解多类型储能最优配置方案并获取最优联络线外送功率曲线；最后，基于我国北方某地区实际运行数据开展算例分析，验证所提多类型储能优化配置策略的可行性与有效性。结果表明，所提策略可经济有效地提高外送通道利用率、缓解弃风弃光现象，并降低电网线路阻塞风险。更多还原

【Abstract】 The transmission capacity of channels and the multidimensional security boundaries within regional power grids pose significant challenges for large-scale renewable energy, particularly in terms of transmission channel congestion. Conventional tie-line transmission limit constraints often fail to accurately represent actual transmission capabilities, whereas the regulation capabilities of single-type energy storage is limited. To address these issues in congestion management, this study proposes an optimal configuration strategy for multi-type energy storage based on the feasible region of tie-lines. First, we construct a secure and stable operational space that considers the multi-dimensional security boundaries of the receiving-end regional power grid. This space is then projected onto the tie-line transmission power space using the vertex search algorithm, enabling us to delineate the feasible transmission region. Leveraging the complementary regulation capabilities of multitype energy storage, we develop an optimal configuration model aimed at maximizing comprehensive economic benefits. Mixed-integer linear programming methods are utilized to determine the optimal configuration of multi-type energy storage and to derive the corresponding optimal tie-line transmission power profiles. Finally, a case study employing real-world operational data from a northern region in China is conducted to validate the feasibility and effectiveness of the proposed strategy. The results show that the strategy can enhance the economic and effective utilization of transmission channels, mitigate renewable energy curtailment, and reduce the risk of line congestion.更多还原