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Most of electric power companies have introduced renewable energy which increases the power system uncertainty. It is expected that it increases the surplus and deficiency in power system supply. Thus, an energy storage systems and demand response are required for adjusting supply and demand. On the other hand, the power industries are exposed to competition, and needs an optimal operation to maximize...
Quantification of uncertainties associated with solar photovoltaic (PV) power generation forecasts is essential for optimal management of solar PV farms and their successful integration into the grid. These uncertainties can be appropriately quantified and represented in the form of probabilistic rather than deterministic. This paper introduces bootstrap confidence intervals (CIs) to quantify uncertainty...
From the perspective of global warming suppression and depletion of energy resources, renewable energies, such as the solar collector (SC) and photovoltaic generation (PV), are getting attention in distribution systems. Houses with PV and heat pump (HP) systems are also gaining wide use recently in residential areas recently because of using time-of-use electricity pricing. Thus, optimal scheduling...
This article presents a strategy to solve thermal unit commitment (UC) integrated with an equivalent solar-battery system using Fuzzy based Quantum inspired Evolutionary Algorithm (FQEA). As a renewable power source, solar power is injected stochastically with the model. To handle the uncertainty and intermittency involved while integrating solar power and load forecasting, the trivial crisp problem...
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