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This paper studies the 2013 10-year plan of the Western Electricity Coordinating Council (WECC), and its ability of meeting the emission rate standards for existing power plants proposed by the US Environmental Protecting Agency (EPA) in June 2014. The study represents a 10-year generation planning study. A reduced 240-bus WECC system is used as a test model, and is built on MATPOWER Software. Future...
This paper describes a Neural Network application to reduce the computational complexities in a smart grid environment by predicting peak demand and losses for the next operating day. Mitigating peak demands and losses could significantly reduce outage risks and increase costs savings, hence improving the reliability and efficiency of Electrical Service Providers (ESPs).
This paper describes a microgrid for electrification of an isolated rural village in Nepal. Photovoltaic and various storage systems were modeled to find the optimal design. The economic and environmental impacts are also studied.
A demand response program designed to mitigate peak load during hot summer days has been designed. Pacific Northwest National Laboratory (PNNL) developed taxonomy distribution feeder has been used to evaluate the effectiveness of the demand response program. The simulation includes direct load control, dynamic price control, residential PV penetration and their comparisons. The results will help guide...
This paper presents the effect of direct load control and residential PV system during peak demand events. Load was controlled via scheduling HVAC (heating, ventilation and air conditioner) shut off cycle and penetrating PV at residential level. Cost benefit analysis were performed to evaluate the profitability of residential PV investment and direct load control program. These results will help guide...
This paper used the design of experiment concepts to develop a model that estimates the output power of a solar panel under certain experimental conditions and factors. This study will help in deciding the optimal placement of a solar panel to get the maximum output power based on the most influencing studied factors.
This paper presents an optimal generation planning study implemented in MATPOWER that includes bulk electric energy storage and renewables to optimize the operating cost of bulk energy storage and transmission system conditions.
This paper analyzes the economic feasibility of using the CAISO wholesale grid state indicator to schedule storage, and suggests solutions based on that.
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