Abstract

In micro grid (MG), active/reactive power sharing for all dis-patchable units is an important issue. To meet fluctuating loads’ active and reactive power demands, the units generally adopt primary P-f and Q-U droop control methods. However, at different state of charge (SOC) values, the capability of Lead Acid Battery Bank (LABB) based units to take loads varies in a large range; active power should not be shared according to the units P capacities in a constant ratio. Besides, influenced by the output and line impedance between units, reactive power is not able to be shared in proportion to the units Q capacities. Another problem, after MG power balance requirement is satisfied, frequency and voltage are deviating from their rated values thus power quality is reduced. This paper presents a new smart MG which is based on the multi agent system. To solve the problems mentioned above, P-f and Q-U droop curves are adjusted dynamically and autonomously in local agents. To improve the power quality, secondary restoration function is realized in a decentralized way, the computation tasks are assigned to local, the computation capability and communication reliability requirements for central PC are low, and operation reliability is high. Simulation results back the proposed methods.

Highlights

  • With the continuing large-scale consumption of fossil energy resources in thermal power stations of large power systems and the increasing efforts of government for energy saving and reducing emissions, a micro grid (MG) that has the ability to cleanly and effectively utilize renewable energy is the most promising technology to achieve this goal

  • For active power sharing and frequency stabilization, due to Lead Acid Battery Bank (LABB) state of charge (SOC) varies in a wide range during MG operation, at different SOC values the capabilities of energy storage system (ESS) to supply loads varies

  • To implement distributed secondary frequency and voltage restoration control, this paper proposes multi agent based smart MG

Read more

Summary

Introduction

With the continuing large-scale consumption of fossil energy resources in thermal power stations of large power systems and the increasing efforts of government for energy saving and reducing emissions, a micro grid (MG) that has the ability to cleanly and effectively utilize renewable energy is the most promising technology to achieve this goal. For reactive power sharing and voltage stabilization, influenced by the output impedance of DGs and line impedance between DGs, DGs’ terminal voltage are not equal, so reactive power cannot be shared [10,11] To handle this issue, this paper proposes a self-adjusted variable droop curve strategy. To implement distributed secondary frequency and voltage restoration control, this paper proposes multi agent based smart MG. Active and reactive power sharing functions mentioned above are implemented in local DG agents, in which the variable droop curve algorithms are realized dynamically and autonomously.

Multi Agent Based Smart MG
Smart DG Agents
Agent Functions
SOC Based Distributed Frequency Control
Distributed Secondary Control Algorithms
Active Power Sharing Algorithms
Distributed Voltage Control
Distributed Primary Control Algorithms
Self-Adjusted Variable Droop Curve Reactive Power Sharing Algorithms
Simulation Results
Static
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.