Abstract
A novel polar fuzzy (PF) control approach for a hybrid power system is proposed in this research. The proposed control scheme remedies the issues of system frequency and the continuity of demand supply caused by renewable sources’ uncertainties. The hybrid power system consists of a wind turbine generator (WTG), solar photovoltaics (PV), a solar thermal power generator (STPG), a diesel engine generator (DEG), an aqua-electrolyzer (AE), an ultra-capacitor (UC), a fuel-cell (FC), and a flywheel (FW). Furthermore, due to the high cost of the battery energy storage system (BESS), a new idea of vehicle-to-grid (V2G) control is applied to use the battery of the electric vehicle (EV) as equivalent to large-scale energy storage units instead of small batteries to improve the frequency stability of the system. In addition, EV customers’ convenience is taken into account. A minimal-order observer is used to estimate the supply error. Then, the area control error (ACE) signal is calculated in terms of the estimated supply error and the frequency deviation. ACE is considered in the frequency domain. Two PF approaches are utilized in the intended system. The mission of each controller is to mitigate one frequency component of ACE. The responsibility for ACE compensation is shared among all parts of the system according to their speed of response. The performance of the proposed control scheme is compared to the conventional fuzzy logic control (FLC). The effectiveness and robustness of the proposed control technique are verified by numerical simulations under various scenarios.
Highlights
The costs of supplying energy for remote communities such as isolated islands are usually very high
area control error (ACE) is considered in the frequency domain
It is clear from this figure that diesel engine generator (DEG) and FC with fuzzy logic control (FLC) have a high value of power with large oscillations and huge overshoot reaching up to 0.3 pu for DEG and 0.2 pu for FC compared to the proposed polar fuzzy (PF) scheme, which succeeded to damp the deviations of PDEG and PFC significantly
Summary
The costs of supplying energy for remote communities such as isolated islands are usually very high. An novel intelligent damping controller (NIDC) is analyzed in [40] for the static synchronous compensator (STATCOM) of a hybrid system This scheme applies the functional link-based novel recurrent fuzzy neural network (FLNRFNN) to reduce the power fluctuation and support voltage without either considering frequency control approach or using the estimation technique to overcome the deficits of neuro-fuzzy schemes. The system performance with the implication of the intended approach is validated under various scenarios such as the sudden increase/decrease of wind speed, solar radiation, load demand, actual wind speed and solar radiation data and system parameters’ variation to confirm its effectiveness and robustness For all of these previous reasons, this paper presents a new minimal-order observer-based PF control scheme for the hybrid power system.
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