Abstract

Abstract In recent years, and with rapid rise of climate change, many countries have established multifield policies to drive more renewable resources into the power system. The increasing electricity generation by renewable resources gives rise to various structural issues like uncertainty and variability in modern power systems. Here, facing the abovementioned issues will be one of the most pressing problems in future energy systems and leads to define a new feature namely as power system flexibility. A novel framework for considering the enhancement of flexibility in the power system is presented in this paper. So, an innovative structure is suggested for flexibility improvement based upon unit commitment problem as well as construction of flexible fast ramp generating units. Here, an innovative formulation for uncertainty based flexible unit commitment and construction in combination with demand response resources i.e. (UBFUCCDRRs) is suggested. There are several uncertain resources affecting the UBFUCCDRRs. Here, one of the foremost imperative issues is the uncertainty of demand side resources. This paper considered, the price-elasticity of electrical consumption, as an uncertain, unavailable and hard to estimate parameter which is modelled using Z numbers as a possibilistic-probabilistic methodology. Moreover, the supply side resources uncertainty considered with Monte Carlo simulation methodology. In the modern smart grids, DRRs, fast ramp resources and energy storages can be considered for compensating the variability and uncertainty of renewable energy resources. Actually, with an increasing thrust towards renewable integration across the globe, energy storage as one of the most important flexibility resources has the potential to manage demand and supply dynamics. The energy storage is mostly used to adjust the timing of electricity supply by storing electricity at the lowest price level and discharging at an expensive time. So the energy storage plays an important role in reducing costs and increasing flexibility at the same time. Therefore, this paper sheds light on the various issues of future flexible power systems with significant amounts of non-dispatchable and uncertain renewable energy capacities. UBFUCCDRRs 's primary goal is to determine the optimum flexibility value as a key problem while achieving the operation and investment costs at the lowest possible level. The results indicate improvement of the flexibility index with cost adjustment. In order to trace the capability of the suggested framework, several cases are modeled on a modified standard 10-unit system.

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