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Integrated Gasification Combined Cycle with embedded membrane reactor modules (IGCC‐MR) represents a new technology option for the coproduction of electricity and pure hydrogen endowed with enhanced environmental performance capacity. It is viewed as an alternative to conventional coal‐ and gas‐fired power generation technologies. An IGCC‐MR power plant needs to be techno‐economically evaluated in...
Due to the increasing penetration of distributed renewable generators in a distribution network, it is important to have the reliable and stable operation of an anti-islanding protection method to ensure the safety of personnel and equipment. This paper presents a detailed investigation on the performance of a Rate-Of-Change-Of-Frequency (ROCOF) method. A distributed generator system is simulated...
Integrated Gasification Combined Cycle with embedded membrane reactor modules (IGCC-MR) represents a new technology option for the co-production of electricity and pure hydrogen endowed with enhanced environmental performance capacity. It is an alternative to conventional coal-and gas-fired power generation technologies. As a new technology, the IGCC-MR power plant needs to be evaluated in the presence...
This paper presents a bi-level consumer-utility optimization model to schedule an energy consumption pattern of controllable loads in the face of a time varying price function depending on system conditions and market operations. The controllable loads are classified into three types based on their natures and operating characteristics for an upper-level consumer's problem. To formulate the stochastic...
This paper presents a comprehensive sizing methodology which could contain all key elements necessary to obtain a practical sizing result for a stand-alone photovoltaic (PV) system. First, a stochastic solar radiation model based on limited/incomplete local weather data is formulated to synthesis various chronological solar radiation patterns. This enables us to evaluate a long-term system performance...
Electrical appliances have distinct consumption patterns of which can be interpreted as signatures and used for various applications. Based on traditional power quality monitoring techniques, coupled with optimization algorithms and innovative pattern recognition methods and stochastic simulation tools, we are going to demonstrate in this paper how we defined different load signatures systematically,...
This paper presents a bi-level aggregator-utility optimization model to schedule an energy consumption pattern of controllable loads in a power system with a high penetration of renewables. The upper level is an aggregator's problem which aims to minimize the electricity payment by managing the energy consumption of three types of controllable loads. On the other hand, the lower level is a utility's...
Increasing concerns over climate change, volatile energy costs, competitive pressure and particularly the rapid development of information technology (IT) and telecommunication technology are grooming more decentralized and innovative end-use applications in the power networks. Technologies such as smart metering, demand response, intelligent buildings, tri-generation, virtual power plants and the...
By disaggregating load signatures at metering level, we aim to develop new knowledge on load behavior and subsequently devise new applications for customers as well as utilities. The pre-requisite of a meaningful load disaggregation is to have a reliable appliance-based load signature database. This paper presents an automated and statistical approach for load signature identification using clustering...
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