Abstract

Service restoration (SR) in distribution networks by nature is a multi-objective optimization problem. To solve the multi-objective SR and to ensure sufficient available delivery capability for delivering renewable energy, a user preference enabling (UPE) method is proposed in this paper. The proposed method is user-oriented, allowing a user’s preferred solution over a range of each objective function value to be achieved. The proposed UPE method can adopt each user’s specific preference over each objective function, allowing the user to directly place a preference for each objective function without compromising their independence from each other. If the user preference problem has no solution, the proposed method will identify the non-existence of a solution and suggest a remedy scheme to recover a solution. To achieve its computational efficiency, the proposed UPE method contains a discrete optimization stage and a relaxation and correction stage to solve the multi-objective SR problem, which has a large number of binary variables. A user-preferred solution that truly meets the user's needs for each objective is thus fast obtained. The effectiveness and flexibility of the proposed UPE-based method is evaluated on large distribution networks with multiple scenarios.

摘要

配电网络中的服务恢复 (SR) 本质上是一个多目标优化问题。为了解决多目标SR并确保提供足够的可再生能源交付能力，本文提出了一种用户偏好使能（UPE）方法。所提出的方法是面向用户的，允许在每个目标函数值的范围内实现用户的首选解决方案。所提出的 UPE 方法可以采用每个用户对每个目标函数的特定偏好，允许用户直接对每个目标函数进行偏好设置，而不会影响它们彼此的独立性。如果用户偏好问题没有解决方案，所提出的方法将识别解决方案的不存在并提出补救方案以恢复解决方案。为了实现其计算效率，所提出的 UPE 方法包含一个离散优化阶段和一个松弛和校正阶段，以解决具有大量二元变量的多目标 SR 问题。从而快速获得真正满足用户对每个目标的需求的用户偏好的解决方案。在具有多种场景的大型配电网络上评估了所提出的基于 UPE 的方法的有效性和灵活性。