Impact of optimal power generation scheduling for operating cleaner hybrid power systems with energy storage

Abstract

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-solarhydro-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.

Combined PV-Wind Hosting Capacity Enhancement of a Hybrid AC/DC Distribution Network Using Reactive Control of Convertors and Demand Flexibility

“…Another approach to ease meeting the limitations of RESs variability is to use the complementarity between various RESs [21], i.e., two or more energy sources with complementary availability periods such as PV and WT [11]. Many studies have reported the merits of complementarity of various RESs in various countries such as Italy [22] and Canada [23].…”

LSTM based deep neural network model of power system stabilizer for power oscillation damping in multimachine system

“…The security and reliability of modern power system is prime concern of present electric utility 1 . Several unwanted phenomena leads to instabilities in power system.…”

Decentralized approach for security enhancement of wind‐integrated energy systems coordinated with energy storages

“…The ESSs deployment beside RESs can be pointed as a favorable solution for managing the uncertainties associated with RESs in energy systems 22 . The ESSs help the conventional generating units in the ramping process when a generation shortage or overdo is occurred 23‐25 . In this way, the application of ESS units in the energy system's security enhancement is underlined as one of the most interesting fields of study 26‐28 .…”

“…22 The ESSs help the conventional generating units in the ramping process when a generation shortage or overdo is occurred. [23][24][25] In this way, the application of ESS units in the energy system's security enhancement is underlined as one of the most interesting fields of study. [26][27][28] In Reference 26, the presence of distributed ESS (DESS) is reflected in the SCOPF problem.…”