论文标题
考虑循环流效应的多区域电力系统中的联合覆盖拥塞租金
Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects
论文作者
论文摘要
我们考虑了如何在互连电力系统中共同涵盖内部和领带线的交通拥堵租金的问题。我们关注的关键问题是循环流问题，它代表了计划和实际功率流分布之间的差异，因为电力并不总是沿着交易的最直接路径流动。我们采用一般的协调交易计划（GCT）进行互换计划，这可以消除由循环流量效应引起的调度错误，并在理想假设下渐近地融合到联合经济调度（JED）。随后，为每个领域提出了分布式算法，以恢复全球GCTS模型的乘数，并量化和定价其对线路拥塞的贡献。因此，所有领域和界面竞标都可以通过其商品盈余和利润共同涵盖内部和领带的拥塞租金。模拟证明了拟议的LMP恢复方法和涵盖拥塞租金的拟议方法的有效性。
We consider the problem of how multiple areas should jointly cover congestion rents of internal and tie-lines in an interconnected power system. A key issue of our concern is the loop flow problem, which represents discrepancies between scheduled and actual power flow distributions because electric power does not always flow along the most direct paths of transactions. We employ generalized coordinated transaction scheduling (GCTS) for interchange scheduling, which can eliminate dispatch errors caused by loop flow effects and asymptotically converge to the joint economic dispatch (JED) under ideal assumptions. Subsequently, distributed algorithms are proposed for each area to recover multipliers of the global GCTS model, as well as quantifying and pricing its contribution to line congestions. Thereby, all areas and interface bids can jointly cover congestion rents of internal and tie-lines with their merchandise surpluses and profits. Simulations demonstrate the effectiveness of the proposed approach of LMP recovery and joint covering congestion rents.
