Open AccessOptimised recovery strategy for microgrid with distributed generations
Author(s) -
Jiehui Chen,
Haiqiang Zhou,
Dayan Sun,
Jizu Guo
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0497
Subject(s) - microgrid , computer science , shortest path problem , node (physics) , path (computing) , dijkstra's algorithm , fault (geology) , process (computing) , clearance , electric power system , power (physics) , distributed computing , reliability engineering , mathematical optimization , control (management) , computer network , engineering , mathematics , medicine , graph , physics , structural engineering , theoretical computer science , quantum mechanics , artificial intelligence , seismology , urology , geology , operating system
Microgrids with a variety of distributed generations (DGs) are very common in modern power system. When a fault occurs in the power system, the microgrid will operate as an isolated grid to ensure security. Then DGs were separated from the microgrid and the measures of load shedding were taken accordingly. When the fault is cleared, it is important to restore the whole network and as much load as it can. An optimal restoration strategy for the microgrid is proposed here. Firstly, the objective for the network recovery is to have a shorter recovery time and the mathematical model is to seek the shortest path. The Dijkstra's algorithm is a classical method to solve the optimal path problem which can be applied in the microgrid network restoration to find the shortest path from a given source node to every other node. Also, analytic hierarchy process method, which is a structured technique for organising and analysing complex decisions, can help select the source node. Then, when a bus is recovered in the microgrid, the load on the relevant bus should be considered to recover. Finally, a microgrid including DGs and diverse energy storages is used to illustrate the effectiveness of the proposed method.