Open AccessTwo‐phase integrated optimisation strategy for network restoration with photovoltaic generation
Author(s) -
Jiang Ziqing,
Xiao Fei,
Ai Qian,
He Qilin,
Sun Qiu
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0495
Subject(s) - blackout , photovoltaic system , computer science , dijkstra's algorithm , power (physics) , reliability engineering , electric power system , engineering , electrical engineering , graph , theoretical computer science , shortest path problem , physics , quantum mechanics
Compared with conventional generation techniques, photovoltaic (PV) generation, which is widely spread and easily connected to the grid, has an excellent ability of self‐starting, making it a promising alternative of black‐start (BS) sources. Considering the difference between PV units and conventional BS sources, a two‐phase network restoration strategy is proposed. In phase 1, a certain thermal power unit is selected using the Floyd algorithm and then started by PV units within the blackout network, with the objective to maximise the launching possibility. In phase 2, the unit started in phase 1 is used as the main power source, while PV units as the auxiliary source, to finish the whole restoration procedure. The backtracking algorithm and the Dijkstra algorithm are applied with the objective to maximise the power restored and minimise the time needed during the restoration. Taking the objectives of the two phases into consideration, an integrated optimisation method is proposed, which could guarantee the restoration efficiency and fix the disadvantages of PV system such as low inertia and relatively poorer starting ability. The case study of IEEE 39‐bus system proves the practicability and the effectiveness of the method proposed.