An optimisation method of whole‐process restoration decision‐making of power systems considering disturbance‐resisting ability of the restored network

Abstract

Disturbance-resisting ability (DRA) of the restored network needs to be considered when making a restoration scheme of power systems, to ensure system security and reduce secondary blackout risk. This paper proposes an optimisation method of whole-process restoration decision-making with DRA of the restored network in consideration. Firstly, a load rate balance (LRB) index of the restored network is defined to represent the DRA index during restoration. Then, an optimisation model of whole-process restoration decision-making is established, considering the LRB index of the restored system. To solve the model by a linear programming method, the non-linear terms in the model are transformed into linear forms. Finally, a time-step decoupling method to reduce solving difficultness of the established model with the LRB index is derived, with purpose of accelerating the solving process. The numerical results of the IEEE 30-bus system and a practical power system verify effectiveness of the proposed method to obtain a restoration scheme to balance the system restoration benefit and security. INTRODUCTIONIn recent years, a number of blackouts have occurred around the world, for example, the 11.4 Western Europe blackout [1], the 7.30 and 7.31 India blackouts [2] and the 3.21 Brazil blackout [3]. The relative post-event analysis reports show, during the power system restoration (PSR) process, that it is necessary to coordinate the progresses of the source, network and load restoration, in the meantime to enhance ability of the restored system to resist the secondary failures and the power disturbances on both the source and load sides. Otherwise, the restored system may suffer a blackout once more due to the secondary failures. Therefore, it is of great importance to enhance disturbance-resisting ability (DRA) of the restored system against the internal and external disturbances for secure and rapid restoration.

Coordinated restoration of inverter‐based power sources and synchronous generators for the high renewable penetrated power system considering the dynamic frequency regulation capability

“…The optimization model can be established according to different resilience indices, such as the maximization of generated energy [6], the minimization of restoration time [10], the optimization of restoration path [9] and the optimization of voltage control [11]. Moreover, many methods have been proposed to solve the PSR problem, including mathematical planningbased methods [10,12], artificial intelligence-based methods [8,13] and graph theory-based methods [9,14]. Ref.…”

“…Ref. [12] proposes an optimisation method of whole‐process restoration decision‐making by transforming this problem into a linear form model. Considering generators, [13] proposes a multi‐objective optimization approach for network reconfiguration based on a designed discrete non‐dominated sorting genetic algorithm.…”