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http://hdl.handle.net/10266/6267
Title: | Optimal battery sizing for contingency alleviation in power systems |
Authors: | Kakde, Nilima Sadashiv |
Supervisor: | Aggarwal, S. K. |
Keywords: | Contingency Analysis,;Energy storage device;thermal overload;power flow |
Issue Date: | 22-Aug-2022 |
Abstract: | Maintaining system security is a very challenging task for power system operators, because it provides information about the system state in the event of a contingency. Contingency analysis techniques are required to maintain the security and dependability of the power system. It is usually used to estimate the consequences of outages caused by events such as equipment failures, transmission line breakdowns (failure), etc. Because of the large number of components in a power system, conducting an offline analysis to estimate each individual contingency's effect is a difficult procedure. In reality, even a less number of situations will result in serious power system conditions. A method for characterising these severe conditions is called contingency selection, and it involves calculating performance indices for each contingency. Numbers of strategies are used to perform the contingency analysis. During this study the various strategies of contingency analysis are discussed. In this work, the use of linear sensitivity factors for determining installation post-contingency flow in real time is presented. The potential use of battery storage to boost transmission capacity in thermally limited transmission lines is described in detail. A transmission system's use of batteries can improve the transmission capacity of sensitive zones and reduce thermal load. In order to reduce the thermal load on the transmission line caused by the contingencies, the batteries are used. The Analytical Hierarchy Process (AHP) method is presented for calculating the capacity of a battery providing support during N- 1 contingencies and also this process is used to provide the relative importance of the various contingency parameters when calculating their respective significance in calculating battery capacity. The proposed process has been tested on the IEEE 30 bus system. |
URI: | http://hdl.handle.net/10266/6267 |
Appears in Collections: | Masters Theses@EIED |
Files in This Item:
File | Description | Size | Format | |
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802042018_NILIMA_KAKDE_THESIS.pdf | Thesis | 2.23 MB | Adobe PDF | View/Open |
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