Optimization of an Autonomous Hybrid Renewable Energy System Using Reformed Electric System Cascade Analysis

Abstract

This paper presents reformed electric system cascade analysis (RESCA) technique for optimization of hybrid renewable energy system (HRES) comprising of wind energy conversion system (WECS), photo-voltaic system (PV), battery energy storage system (BESS) and non-intermittent source (NIS). Optimization constraints of final excess energy (FEE), energy generation ratio (EGR), cost of energy (COE), net present cost (NPC) and renewable energy fraction (REF) are considered for the optimization of the system. This optimization is realized for an isolated load comprising of the 10 households in Malaysia with a daily consumption of 84.5 kWh. On successful implementation of RESCA with different constraints it is found that the optimum size of energy sources for the HRES varies depending on the chosen constraints. Also, the net present cost (NPC) of the system can be considerably reduced on introduction of NIS to the HRES. RESCA provides the user with better insight into the influence of variation of PV and WECS power generation while identifying the optimal size of energy storage unit. The optimized results obtained are also compared with benchmark HOMER software to validate the methodology.Index Terms-Batteries, design optimization, hybrid power system, iterative algorithm, solar energy, wind energy.

Review on the state‐of‐the‐art multi‐objective optimisation of hybrid standalone/grid‐connected energy systems

“…Among the various topics associated with HESs, optimal sizing of the components is an important subject for researchers to explore the optimal design of the system [34]. Such a decision‐making problem can be accomplished to achieve a range of objectives: decreasing the costs of HES, reducing the air pollution, increasing the reliability, boosting the customer satisfaction, decreasing the excess energy in the system etc.…”

Hybrid energy system design using greedy particle swarm and biogeography‐based optimisation

“…Simulation results showed that MOCSA found well‐distributed and widely spread non‐dominated solutions in the Pareto front. Singh and Bansal [32] used the reformed electric system cascade analysis to optimise a hybrid energy system. In [33], a standalone hybrid energy system composed of wind farm, energy storage system and local consumer was considered.…”

Dynamic performance improvement of isolated power system using intelligently controlled SMES

“…To mitigate the power quality issues, energy storage systems are often used in synchronicity with the wind-diesel system to maintain an instant balance between generation and demand [5]. Integration of energy storage system enhances the robustness of the system, making it more resistant to disturbances [3,6,7]. Energy storage devices with fast response time, high ramp rates and high cyclic efficiency are well suited for mitigating the power fluctuations that are generated due to stochastic nature of wind power.…”