A Bargaining approach to optimizing load shedding in islanded microgrid operation

Abstract A microgrid is an emerging frontier in meeting the challenges in providing reliable power supply to a small community. Microgrid operation is one of the important topics on microgrid. The goal of microgrid operation is to maintain power balance. In an islanded operation mode of a microgrid, when power imbalance occurs by supply shortage, load shedding is generally used. For an efficient and fair load shedding, some game theoretic approaches have been proposed. The load-shedding schemes consider that a power consumer uses a continuous range of values to present its power demand. However, in reality, some consumers use integer and discrete values and it limits power utilization. In this paper, we define a load-shedding problem with consideration of the discrete characteristic of power demands. To solve the load-shedding problem, we employ a game theoretic approach. In order to show the functionality and performance of our load-shedding scheme, we implement a microgrid operation system by using our scheme.

[1]  R. Vaishnav,et al.  Comprehensive Load-Shedding System , 2010, IEEE Transactions on Industry Applications.

[2]  Laurent Massoulié,et al.  A queueing analysis of max-min fairness, proportional fairness and balanced fairness , 2006, Queueing Syst. Theory Appl..

[3]  N. Hatziargyriou,et al.  Microgrids: an overview of ongoing research, development, anddemonstration projects , 2007 .

[4]  Peter Marbach,et al.  Priority service and max-min fairness , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[5]  N.D. Hatziargyriou,et al.  Centralized Control for Optimizing Microgrids Operation , 2008, IEEE Transactions on Energy Conversion.

[6]  Hak-Man Kim,et al.  Talmudic Approach to Load Shedding of Islanded Microgrid Operation Based on Multiagent System , 2011 .

[7]  Hak-Man Kim,et al.  Cooperative Control Strategy of Energy Storage System and Microsources for Stabilizing the Microgrid during Islanded Operation , 2010, IEEE Transactions on Power Electronics.

[8]  Weihua Zhuang,et al.  An optimization framework for balancing throughput and fairness in wireless networks with QoS support , 2008, IEEE Transactions on Wireless Communications.

[9]  Bill Rose,et al.  Microgrids , 2018, Smart Grids.

[10]  F Shokooh,et al.  Intelligent Load Shedding , 2011, IEEE Industry Applications Magazine.

[11]  Zhu Han,et al.  Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions , 2005, IEEE Transactions on Communications.

[12]  P.T. Krein,et al.  Game-Theoretic Control of Small-Scale Power Systems , 2009, IEEE Transactions on Power Delivery.

[13]  Y. Narahari,et al.  A Nash bargaining approach to retention enhancing bid optimization in sponsored search auctions with discrete bids , 2008, 2008 IEEE International Conference on Automation Science and Engineering.

[14]  A. Rubinstein,et al.  The Nash bargaining solution in economic modelling , 1985 .

[15]  Hak-Man Kim,et al.  A Bankruptcy Problem Approach to Load-shedding in Multiagent-based Microgrid Operation , 2010, Sensors.