Abstract
Direct current (DC) residential distribution systems (RDS) consisting of DC living homes will be a significant integral part of future green transmission. Meanwhile, the increasing number of distributed resources and intelligent devices will change the power flow between the main grid and the demand side. The utilization of distributed generation (DG) requires an economic operation, stability, and an environmentally friendly approach in the whole DC system. This paper not only presents an optimization schedule and transactive energy (TE) approach through a centralized energy management system (CEMS), but also a control approach to implement and ensure DG output voltages to various DC buses in a DC RDS. Based on data collection, prediction and a certain objectives, the expert system in a CEMS can work out the optimization schedule, after this, the voltage droop control for steady voltage is aligned with the command of the unit power schedule. In this work, a DC RDS is used as a case study to demonstrate the process, the RDS is associated with unit economic models, and a cost minimization objective is proposed that is to be achieved based on the real-time electrical price. The results show that the proposed framework and methods will help the targeted DC residential system to reduce the total cost and reach stability and efficiency.
Highlights
Direct current (DC) power systems are gaining more and more attention for distributed systems and microgrids, due to their advantages
As a promising power system, an residential distribution systems (RDS) consisting of DC living homes can be managed through a promising power system, an RDS consisting of DC living homescontrol, can beetc
As a promising power system, an RDS consisting of DC living homes can be managed through presents a schedule for economical processing and
Summary
DC power systems are gaining more and more attention for distributed systems and microgrids, due to their advantages. Smart DC distributed power systems, integrated together with DG, controlled loads, energy storage systems (ESS), etc., require more and more intelligent economical operation and stability. To which the agent technology mainly tends in recent years, a multi-agent system is introduced This system is described in several papers [17,18,19], and generally includes a database gateway agent, date monitoring agent, operator agent, distributed energy resource (DER) gateway agent, schedule agent, and another agent. The converter and inverter are responsible for transactive energy between the grid and distributed system, and for voltage stability in the distributed network [22,23,24] In this sense, the DC voltage droop scheme can be used to inject power to DC buses in the control process.
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