Abstract
The main control objective of a DC microgrid with a multibus structure is to stabilize the bus voltage and maintain the power balance of the whole system. An adaptive droop control strategy for multibus DC microgrid based on consensus algorithm is proposed. It is based on platform multiagent system, which is realized by network protocol. Under the condition of a weak communication network, the bus at all levels can realize regional power autonomy through packet consensus protocol. A hybrid simulation platform composed of Jade, MacSimJX, and Simulink is built to verify the effectiveness of the control strategy.
Highlights
Nowadays, microgrid is one of the most innovative fields in the power industry
DC bus voltage is the only indicator reflecting the power balance in DC microgrid [1]. erefore, the important goal of DC microgrid control is to balance the input and output power of the system through the coordinated control of the whole system, maintaining the stability of DC bus voltage. e energy coordinated control method based on DC bus signal proposed in reference [2] can only achieve basic power and energy distribution. e DC Bus Signal (DBS) control method cannot achieve ideal power distribution effect because the bus voltage varies with the operating point, the line impedance is unknown, or the distribution is inhomogeneous [3]
The point-to-multipoint centralized communication control has strict requirements on the real time performance of the communication network, and its structure is not suitable for the DC microgrid system with microsources and scattered loads. erefore, the distributed multiagent (MA) consensus and coordination control based on sparse communication network and point-topoint has attracted more and more attention [4]
Summary
Microgrid is one of the most innovative fields in the power industry. Future microgrid can be used as an energy balance unit of distribution network and as independent power grid to supply community. E energy coordinated control method based on DC bus signal proposed in reference [2] can only achieve basic power and energy distribution. Erefore, the distributed multiagent (MA) consensus and coordination control based on sparse communication network and point-topoint has attracted more and more attention [4]. Literature [4] analyzed the limitations of traditional noncommunication control, proposed an adaptive droop control strategy based on discrete consensus, and realized high-precision load distribution and voltage regulation by taking the average voltage difference of the whole network as Mathematical Problems in Engineering the consensus optimization goal. Compared with the traditional single bus structure consensus control strategy, it enhances the system compatibility and power allocation optimization ability
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