학술논문

Operational cost reduction based on distributed adaptive droop control technique in DC microgrids
Document Type
Conference
Source
2017 IEEE Energy Conversion Congress and Exposition (ECCE) Energy Conversion Congress and Exposition (ECCE), 2017 IEEE. :2638-2644 Oct, 2017
Subject
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Microgrids
Voltage control
Heuristic algorithms
Communication networks
Power generation
Power system dynamics
Resistance
Economic power dispatch
DC microgrid
Distributed control
Dynamic consensus algorithm
Language
Abstract
A novel distributed adaptive droop coordination control system has been proposed in this paper to solve the economical dispatch problem (EDP) in DC microgrids. It comprises of tertiary and secondary controllers for scheduling the dispatchable distributed generation (DGs) output powers to ensure optimal load sharing between them and restore microgrid's average voltage as well. The controller of each DG process its local information and the information of its neighbors through a sparse communication network to update its primary voltage set point. By virtue of dynamic consensus algorithm, tertiary controller equalizes DGs incremental costs to adjust the output power of each DG at the optimal point while satisfying the in-equality constraints, while secondary controller regulates the average voltage across the microgrid to maintain the equality constraint. Through several experimental studies, the feasibility of the proposed controller in case of load variations, plug and play capability, and communication failures are verified.