DISCOM的最佳能源采购策略:一个案例研究

Yash Vardhan Omar, Souvik Bera, N. Pindoriya
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引用次数: 0

摘要

根据偏差结算机制(DSM)指南,印度的配电公司(DISCOMs)为了严格维持系统的标称运行条件,根据从电网获取的实际功率与计划功率之间的偏差,受到相当大的计划外交换(UI)处罚。因此,为了提高discom的财务可行性,在获得最佳电力的同时,将UI带来的惩罚降到最低,这一点变得至关重要。本研究提出了一个考虑多种资源的最佳电力采购框架,同时最大限度地减少具有不可移动或不可削减负荷的并网微电网的用户界面。术语虚拟负载指的是需求的变化,它表示每15分钟时间间隔的UI。问题语句是在GAMS软件中制定的一个非线性问题(NLP),并使用求解约束整数规划(SCIP)求解器求解。此外,本研究还考虑了古吉拉特邦国际金融科技城电力有限公司(GIFT PCL)的实际案例研究,该公司为GIFT城市基础设施供电,以验证所提出的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Energy Procurement Strategy for DISCOM: A Case Study
The Electricity Distribution Companies (DISCOMs) in India are subjected to considerable Unscheduled Interchange (UI) penalties based on the deviation between the actual and scheduled power drawn from the grid to strictly maintain the nominal operating conditions in the system according to the Deviation Settlement Mechanism (DSM) guidelines. Therefore, it becomes essential to procure power optimally while incurring minimum penalty due to UI for the better financial viability of the DISCOMs. This study proposes a framework for the optimal procurement of power considering multiple resources while minimising UI for a grid-connected microgrid with non-shiftable or non-curtailable loads. The term virtual load is referred to account for the variations in demand, which represent the UI for each 15-minutes time interval. The problem statement is a nonlinear problem (NLP) formulated in GAMS software and solved using the Solving Constraint Integer Programs (SCIP) solver. Further, a real case study of Gujarat International Finance-Tec City Power Company Limited (GIFT PCL), which supplies power to GIFT City infrastructure, is considered in this study to validate the proposed model.
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