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The growing concern on climate change and environmental pollution has created enormous pressure on shifting the generation toward cleaner and environmental friendly sources. Among different clean energy producers, wind power and solar photovoltaic (PV) systems are the most attractive ones due to their abundant availability, substantial power production capability, and cost effective attributes. But, their intermittent availability makes the system operation extremely vulnerable. Therefore, optimum utilization of renewable energy in hybrid power system (HPS) may not be achievable without the integration of energy storage facilities. In this context, integration of battery energy storage (BES) systems with Wind+PV+Thermal (WPT) hybrid configuration is considered in this work to meet the sudden and short term disharmony between actual and available renewable power output. Moreover, to maintain a secure system voltage of the WPT+BES system, the impact of reactive power (Q) capability of doubly fed induction generator has also been analyzed. The scheduling problem of the proposed HPS is solved by formulating in an optimization framework. Intelligent technique is applied to evaluate the optimal operational paradigm at multiple percentage of renewable energy penetration scenarios at which the proposed HPS may operate in a voltage secure and cost effective manner. The validation of the proposed operating strategy on the comparative performance evaluation of WPT and WPT+BES systems is portrayed on IEEE30 bus benchmark power system configuration. [ABSTRACT FROM AUTHOR]

Summary: De‐carbonization of the electric power system, reduction in greenhouse gas emissions and the enhancement of environmental security have emphasized the need for the optimal utilization of renewable/cleaner energy in power system operation. However, unpredictability and intermittency are the major barriers that limit the penetration of renewable power generation (RPG). In this context, large‐scale energy storage (LSES) facilities may prove to be an effective means for mitigating the long‐term volatility and vulnerability of RPG and subsequently reduce the power dependence on fossil fuel‐based generation systems. Thus, the possibility of increasing the penetration of cleaner power may be achieved by simultaneously implementing LSES and an intelligent scheduling strategy so that the hybrid power system may be operated with lower power loss, more cost‐effective operation, and an enhanced voltage security. Previous researchers in multiple works have demonstrated the operational analysis and optimization of hybrid configurations with and without storage in stand‐alone, islanded and remote operations. In contrast, attempts have been made in this work to incorporate, analyse and validate the impact of LSES facilities (ie, pumped hydroelectric storage (PHS) and compressed air energy storage (CAES)) with benchmark power grid configuration (ie, New‐England‐39 bus).In this work, a comparative analysis among different hybrid configurations, particularly wind‐solar‐thermal, wind‐solar‐hydro‐thermal, wind‐solar‐hydro‐thermal‐PHS and wind‐solar‐hydro‐thermal‐CAES is conducted within a multi‐objective optimization environment. The proposed design problem is analysed with the inclusion of real‐time constrictions in the form of stochastic variation in renewable power output and random disruptions. The modified bacteria foraging algorithm is used to evaluate the optimum generation schedule for which the operational objectives will be achieved for the design problem. Further, using fuzzy membership function, the trade‐off between conflicting objectives is portrayed in Pareto optimal domain. Among different hybrid configurations considered, the HPS which incorporates the CAES system exhibits the most superior performance. [ABSTRACT FROM AUTHOR]

Concern for the environment necessitates the reduction in use of fossil fuels. A solution is to use more renewable power generation facilities. However, the intermittency of renewable energy makes operational scheduling challenging. An optimization model is developed here to determine the performance of a hydro-thermal-wind-solar hybrid power system with the possibility of integrating a compressed air energy storage system. The hybrid power system is implemented in the IEEE-30 bus system. Real-time operational constraints such as varying renewable power availability and disruptions are considered. The model was solved using the meta-heuristic approaches of differential evolution and modified bacteria foraging algorithm. Results indicate that the modified bacteria foraging algorithm arrived at better solutions, making it possible to achieve lower power loss, higher annual savings and reduced variability in voltage security. The best performance is obtained using a hybrid power system which incorporates the compressed air energy storage. Results indicate that higher renewable energy penetration with proper scheduling strategy can result in improvements in system performance. Image 1 • Schedule of a hybrid power system with compressed air energy storage is optimized. • Intelligent optimization techniques were used to determine the optimal schedule. • The effect of renewable energy penetration and system disruptions is analyzed. • Compressed air energy storage improves the voltage security of the hybrid power system. [ABSTRACT FROM AUTHOR]