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This paper analyzes the impact of an independently-operated large-scale energy storage system on the electricity prices of a fully competitive pool-based electricity market. From a consumer's perspective, the impact of storage operation on energy cost is investigated. The changes in the revenue of generation units and entities caused due to the arbitrage operation of storage facility are also explored...
It has been proven extensively in the literature that higher availability of wind generation reduces electricity prices. However, the impact on electricity prices of an individual wind farm under different conditions has yet to be explored. In this paper, a data-driven approach is proposed for analyzing the effect on wholesale electricity prices of integrating a new wind farm into the grid. First,...
A variety of policies have driven escalated global growth of wind-power generation in recent years. However, wind production should be supported through market-based schemes that avoid overcompensation. The present paper aims to determine a justified support scheme for upcoming wind farms in competitive electricity markets. Clustering tools and non-parametric regression algorithms are employed to...
Dynamic price fluctuations in the Alberta electricity market bring potential economic opportunities for electricity energy storage technologies. However, storage operation in the market could have significant impact on electricity prices. This paper evaluates the potential operating profit available through arbitrage operation for a price-maker storage facility in Alberta. Considering a five-year...
There is vast potential value being stored in the massive amounts of data being produced each day in an electricity market. However, most of the value is not being realized due to the challenges in efficiently and intelligently processing and analyzing the large volumes data. These are the challenges of Big Data. Modern power systems are producing Big Data and better understanding it can lead to many...
Participants in an electricity market expect to have a fair, transparent, and open competition. Market Surveillance Administrators (MSA) are responsible for monitoring the market outcomes to investigate if they are consistent with the fundamentals of the electricity markets. It can be an immensely time-consuming process with high amounts of computations in an electricity market with huge numbers of...
This paper introduces a novel approach for power system fault diagnosis based on synchronized phasor measurements during the fault. The synchronized measurements are obtained in real time from Phasor Measurement Units (PMUs) and compared with offline thresholds determined by decision trees (DTs) to diagnose the fault. The DTs have already been trained offline using detailed power system analysis for...
Under smart grid environment, islanding detection plays an important role in reliable operation of distributed generation (DG) units. In this paper an intelligent-based islanding detection algorithm for PV and DFIG units is proposed. Decision tree algorithm is used to classify islanding detection instances. This algorithm is rapid, simple, intelligible and easy to interpret. The error rate of this...
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