Abstract
The security of power system restoration is severely affected by uncertain factors, especially the start-up time of generating unit and the amount of load pick-up. Solving the optimization restoration problem is challenging since it needs to determine different priorities in which units and loads are restored with the consideration of double uncertainty. Therefore, an optimal source-load coordinated restoration method that is based on information gap decision theory (IGDT) is proposed. Firstly, the time-domain restoration characteristics of black-start unit (BSU), non-black-start unit (NBSU), and load are described with analysis of double uncertainty. On this basis, a coupled multi-objective optimization model is built with double uncertainty, in which source-load coordinated restoration is realized. Then, IGDT is adopted to convert the uncertainty optimization model to a certain one with robustness, which tolerates the most uncertainty and still meets the desired requirement. Finally, the optimization model is solved by non-dominated genetic algorithm II (NSGA-II). The effectiveness and robustness of the proposed method is further illustrated through a case study based on the IEEE 39-bus system.
Highlights
With the continuous development of power system, the operation of the system has been more complex than ever
The procedure of power system restoration can be divided into three stages: black-start, reconfiguration of the network and load restoration [3,4]
An optimal source-load coordinated restoration method based on information gap decision theory (IGDT) is proposed in this paper, which meets the restoration requirements in the fluctuation range of double uncertainty
Summary
With the continuous development of power system, the operation of the system has been more complex than ever. A multi-objective optimization method coordinating unit restarting with load restoration was employed into the extended black-start by. The IGDT model neither need distribution characteristics nor membership function of uncertainties This method has been widely adopted in purchasing strategy in electricity market [22] and optimal scheduling [23]. On this basis, an optimal source-load coordinated restoration method based on IGDT is proposed in this paper, which meets the restoration requirements in the fluctuation range of double uncertainty.
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