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Microgrid optimal scheduling with chance-constrained islanding capability

机译：具有机会约束孤岛能力的微电网最优调度

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摘要

To facilitate the integration of variable renewable generation and improve the resilience of electricity supply in a microgrid, this paper proposes an optimal scheduling strategy for microgrid operation considering constraints of islanding capability. A new concept, probability of successful islanding (PSI), indicating the probability that a microgrid maintains enough spinning reserve (both up and down) to meet local demand and accommodate local renewable generation after instantaneously islanding from the main grid, is developed. The PSI is formulated as mixed-integer linear program using multi-interval approximation taking into account the probability distributions of forecast errors of wind, PV and load. With the goal of minimizing the total operating cost while preserving user specified PSI, a chance-constrained optimization problem is formulated for the optimal scheduling of mirogrids and solved by mixed integer linear programming (MILP). Numerical simulations on a microgrid consisting of a wind turbine, a PV panel, a fuel cell, a micro-turbine, a diesel generator and a battery demonstrate the effectiveness of the proposed scheduling strategy. The relationship between PSI and various factors are verified. Published by Elsevier B.V.
机译：为了促进可变可再生能源发电的集成并提高微电网的电力供应弹性，本文提出了一种考虑孤岛能力约束的微电网运行的最优调度策略。开发了一个新概念，即成功孤岛概率（PSI），它表示微电网在从主电网瞬时孤岛后保持足够的旋转储备（上下）以满足当地需求并适应本地可再生能源发电的概率。考虑到风，PV和负荷的预测误差的概率分布，使用多时间间隔逼近将PSI公式化为混合整数线性程序。为了在保持用户指定的PSI的同时将总运营成本降至最低的目的，提出了一种机会受限的优化问题，用于优化拟南芥的调度，并通过混合整数线性规划（MILP）加以解决。在由风力涡轮机，光伏面板，燃料电池，微型涡轮机，柴油发电机和电池组成的微电网上的数值模拟证明了所提出的调度策略的有效性。验证了PSI与各种因素之间的关系。由Elsevier B.V.发布

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