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Extending market activities for a distribution company in hourly-ahead energy and reserve markets—Part II: Numerical results

机译:扩大配电公司在每小时提前的能源和储备市场中的市场活动-第二部分:数值结果

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摘要

The present work is to show the application and implementation of the algorithms and models proposed in part I. It also represents the simulation results of (a) extracting a lumped financial model (the aggregated model) of the distribution system with distributed generations (DGs) and interruptible loads (ILs), (b) distribution company's (DISCO's) process of decision-making, based on the created financial model, on allocating its generating capability for internal usage and proposing to the hourly-ahead energy and reserve markets, and (c) a profit-based network reconfiguration methodology that increases the DISCO's technical ability and directs its financial affairs towards more profitable transactions in the upcoming markets. The function of the algorithms used for detecting unfeasible configurations, namely loop path and/or isolated part in the network are shown and well exemplified. Influential factors in DISCO's generating capability and in the coefficients of DISCO's internal cost function (ICF) are investigated. The present study substantiates the ICF-based optimization method by comparing the relevant results with the results obtained based on the use of total cost function (TCF). Several scenarios on market prices of energy and reserve and on the contingency probability factor pertaining to the real-time generation in reserve market are considered. Simulation results indicate that getting more economical benefits, DISCO may necessarily play different roles in the market and change the network configuration, at different hours.
机译:当前的工作是展示第一部分中提出的算法和模型的应用和实现。它还代表(a)提取具有分布式发电(DG)的配电系统的集总财务模型(聚合模型)的仿真结果。 (b)配电公司(DISCO)的决策过程,该过程基于创建的财务模型,分配其发电量以供内部使用,并建议按小时计算的能源和储备市场,以及( c)一种基于利润的网络重新配置方法,该方法可以提高DISCO的技术能力,并指导其财务工作在即将到来的市场中实现更高利润的交易。示出并很好地例示了用于检测不可行配置的算法的功能,即网络中的环路路径和/或隔离的部分。研究了DISCO发电能力和DISCO内部成本函数(ICF)系数的影响因素。本研究通过将相关结果与基于总成本函数(TCF)的使用结果进行比较,证实了基于ICF的优化方法。考虑了有关能源和储备的市场价格以及与储备市场中的实时发电有关的或有概率因素的几种情况。仿真结果表明,DISCO在获得更多经济利益的同时,可能必须在不同的时间在市场上扮演不同的角色,并改变网络配置。

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