An Indian case study of Power System Network Planning proposed on Tellegen's theorem

S. Soonee, K. Baba, S. Narasimhan, R. Porwal, Suruchi Jain, P. Reddy
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引用次数: 1

Abstract

Power System planning at large, comprises of load forecasting, Generation expansion/retirements, Transmission planning, expansion/augmentation in view of future power supply scenarios. The power system planning approach/methodology at large depends on first move of either generator or transmission planner. It requires co-ordination between generator and transmission planner and if a centralized planning regime exists, then the outcome is theoretically expected to be more efficient. With generation under competition and a delicensed activity coupled with electricity markets, transmission system planning faces further challenges. The heuristic/iterative methods seem to be efficient for small and growing system. At present, power system size has been increasing enormously and it is still growing. Effective and efficient planning in such a big complex system inevitably requires automation techniques. Various computation technique or algorithm are being explored i.e., Graph/Network theory, in power system applications or for populating the best possible combination for planning of transmission lines. This paper is presenting an Indian case study of Northern Region power system planning applying the principle of Tellegen's theorem. The suitable candidates for transmission line based on short length and optimal power flow are proposed. These best possible combinations of lines can be optimized further depending on planner requirement with other methodologies.
基于Tellegen定理的印度电网规划案例研究
电力系统总体规划包括负荷预测、扩产/退役、输电规划、因应未来电力供应情况而进行的扩产/扩产。电力系统的规划方法大体上取决于发电机或输电计划者的第一步行动。它需要发电机和输电计划者之间的协调,如果存在一个集中的计划制度,那么理论上预计结果会更有效率。随着发电的竞争和电力市场的弱化,输电系统规划面临着进一步的挑战。启发式/迭代方法似乎对小型和增长型系统是有效的。目前,电力系统的规模一直在急剧增加,而且还在继续增长。在如此庞大复杂的系统中,有效和高效的规划不可避免地需要自动化技术。人们正在探索各种计算技术或算法,即图/网络理论,在电力系统应用中或为规划输电线路提供最佳可能组合。本文以印度北部地区电力系统规划为例,应用Tellegen定理进行规划。提出了基于短长度和最优潮流的输电线路候选方案。这些最佳的线路组合可以根据规划人员的需求和其他方法进一步优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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