Security constrained optimal power flow solution of hybrid storage integrated cleaner power systems

Abstract

In an attempt to accelerate the progress towards achieving sustainable development goals (SDGs), optimal utilization of renewable energy (SDG7) in power system operation is gaining enormous attention. Towards effective mitigation of rapid depletion of fossil fuels, volatility in the price of oil, greenhouse gas emissions and upholding a greener and cleaner ecosystem, hybrid power systems (HPS) comes into consideration. However, the inherent volatility of renewable sources may jeopardize the stability of the power system and result in vulnerability in system operations. Thus, to address the issues on the voltage security and operational economy of HPS, this work presents the incorporation of battery energy storage (BES) and pumped hydro storage (PHS) with wind-PV-thermal (WPT) generation facilities. The benefit of hybridizing both small scale storage and large–scale energy storage technologies is to effectively mitigate lower energy imbalance and to manage disruptions or vulnerable events that occur for longer periods of time. Therefore, a comparative evaluation among WPT and WPT + BES + PHS is conducted to demonstrate the efficacy of hybrid storage integrated systems in a security constrained optimal power flow framework. This proposed work aims in evaluating the optimal operational paradigms for various HPS with the implementation of artificial intelligence (AI) based scheduling strategies. The comparative results show that the WPT + BES + PHS system depicts an annual savings in the operating cost by US$5.764×104 approximately while improving the system voltage by 3.6% to 4.5%. Following the key criteria of SDG7, the optimal scheduling of WPT + BES + PHS falls within the scope of SDG7. IEEE30 bus benchmark power network is used to validate the proposed operating strategy on HPS configurations.