Abstract
Optimal power sharing between parallel inverters and the demand load in microgrids is challenging and particularly critical for power grids in islanding operation. This paper introduces a novel control approach for managing parallel distributed power sources in the presence of variable load in islanding regime. The proposed scheme is based on the modified sliding mode control (MSMC) which is combined with the optimal Riccati control method to achieve convergence at the slip level with higher accuracy. The mathematical principles of the network equations are derived and its stability is obtained using the Lyapunov function. The MSMC simulation results are discussed in relation to the conventional droop method, while the laboratory evaluation was carried out to characterize its dynamic and static response. The results show that the proposed scheme control is able to manage the distributed power generation for static and dynamic load scenarios, and as such, guarantying microgrid frequency stability.
Highlights
Distributed generation (DG) plants are common in the electricity network, and are mainly related to the increasing exploitation of renewable energy sources (RES)
The conventional droop controller is compared to the new modified sliding mode control (MSMC) strategy regarding active power and reactive power sharing response as well as the system frequency stability
The proposed scheme takes into account the sliding surface properties by minimizing the constants and defining the zero condition in all initial the sliding surface properties by minimizing the constants and defining the zero condition in all states, which results in fast convergence and guaranteeing network stability
Summary
Distributed generation (DG) plants are common in the electricity network, and are mainly related to the increasing exploitation of renewable energy sources (RES). To distribute reactive power, many droopbased methods have been presented that are based on three main categories: the improved primary This will lead into instability of the network [13]. To distribute reactive power, many droop-based methods have been presented that are based on three main categories: the improved primary droop control method [14], improved virtual impedance method [15] and improved hierarchical control methods [16]. The multi-agent method has recently been introduced in MG control and operation Using this approach for reactive power sharing has many advantages, there might be some weaknesses such as: (1) designing an applicable protocol in agents is difficult, (2) the active and reactive power sharing are poor when data drop exists in the preset algorithm, and (3) the communication delay is in LBC lines may cause some interferences [23]. Equal reactive and active power sharing are achievable with multiple DGs units with minimum deviation, since several methods named in Tables 1 and 2 are not compatible with complex MG and multiple DGs
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