Abstract
A distributed cooperative control scheme is proposed in order to implement a distributed secondary control for hybrid lossy microgrids. The designed distributed control is able to synchronize the frequency of inverse-based distributed generators (DGs) and minisynchronous generators (MSGs/SGs) to the desired state with a virtual leader DG/SG (reference value) in a distribution switching network under the existence of time-varying communication delays. The secondary control stage selects suitable frequencies of each DG/SG such that they can be synchronized at the desired set point. Using the proposed algorithm, each DG/SG only needs to communicate with its neighboring DGs/SGs intermittently even if the communication networks are local, the topology is time-varying, and the communication delays may exist. Therefore, the failure of a single DG/SG will not produce the failing down of the whole system. Sufficient conditions on the requirements for the network connectivity and the delays boundedness which guarantees the stability and synchronization of the controlled hybrid lossy microgrid power systems are presented. The feasibility of the proposed control methodology is verified by the simulation of a given lossy microgrid test system.
Highlights
The recent changes in the structure of power generation towards a distributed generation have motivated the increasing interest in the control of so-called microgrids
This paper aims to develop a distributed cooperative control scheme for hybrid microgrids that is able to synchronize the frequency of distributed generators (DGs)/SGs to the desired state with a virtual leader DG/SG in a distribution switching network under the existence of time-varying communication delays
Each DG/SG only needs to communicate with its neighboring DGs/SGs intermittently even if the communication networks are local, the topology is time-varying, and the communication delays may exist
Summary
The recent changes in the structure of power generation towards a distributed generation have motivated the increasing interest in the control of so-called microgrids. As the main building blocks of smart grids, microgrids are small-scale power systems that facilitate the effective integration of highly hybrid and heterogeneous DGs and storage devices including solar (photovoltaic array), wind, microturbines, supercapacitor, and batteries [1, 2]. Many of these energy sources and storage devices generate or reserve variable frequency AC/DC power and are interfaced with a synchronous AC grid via power electronic DC/AC inverters [3]. With the rapid growth of power electronics techniques on MSGs or virtual SGs, the increasing application of clear energy sources, including diesel plants, wind plants, and geothermal plants, makes them possible to be integrated into microgrids. New control strategies on how to preserve the synchronization and proportional power sharing in the connected or isolated manner are demanded for the network [4]
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