An Optimal Control Based Approach for Improving Renewable Energy Utilization in a Microgrid

Due to the increasing energy demand and environmental concern, efficient usage of the renewable energy sources becomes the focus in power systems. The microgrid (MG) is becoming important as it can integrate various types of renewable energy effectively in a small area. The coordination control of various distributed units in a microgrid is one of the most challenging research areas. The frequency in a microgrid is frequently disturbed by the intermittency of renewable energy generations and time-varying load, thus it is essential to develop a cost-effective method to maintain the frequency stability. This paper proposes an optimal control based on power line control with the emphasis on improving renewable energy generation utilization while reducing the deviation of frequency. To illustrate the effectiveness of the proposed algorithm, numerical simulations using MATLAB are conducted on as-bus microgrid.

[1]  Fernando Ornelas-Tellez,et al.  Optimal control for a renewable-energy-based micro-grid , 2014, 2014 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC).

[2]  L.A.F.M. Ferreira,et al.  Optimal control: Load frequency control of a large power system , 2008, 2008 13th International Power Electronics and Motion Control Conference.

[3]  Luis Ochoa,et al.  Minimizing Energy Losses: Optimal Accommodation and Smart Operation of Renewable Distributed Generation , 2011, IEEE Transactions on Power Systems.

[4]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[5]  Roberto Sacile,et al.  Optimal Control of Power Flows and Energy Local Storages in a Network of Microgrids Modeled as a System of Systems , 2015, IEEE Transactions on Control Systems Technology.

[6]  Arindam Ghosh,et al.  Smart Robust Resources Control in LV Network to Deal With Voltage Rise Issue , 2013, IEEE Transactions on Sustainable Energy.

[7]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[8]  Takao Tsuji,et al.  Frequency control in microgrid based on inertial response of wind turbine and curtailment of photovoltaic generation , 2017, 2017 IEEE Manchester PowerTech.

[9]  Frank L. Lewis,et al.  Optimal Control: Lewis/Optimal Control 3e , 2012 .

[10]  Zhengjun Li,et al.  A high-precision and wide-range method of frequency measurement in the new energy power grid connection , 2017, 2017 Chinese Automation Congress (CAC).

[11]  D. J. Burke,et al.  Transmission connected wind curtailment with increasing wind capacity connection , 2009, 2009 IEEE Power & Energy Society General Meeting.

[12]  Hai Xiang Lin,et al.  Power-imbalance allocation control of power systems — A frequency bound for time-varying loads , 2017, 2017 36th Chinese Control Conference (CCC).

[13]  S. Conti,et al.  Optimal control to minimize operating costs and emissions of MV autonomous micro-grids with renewable energy sources , 2009, 2009 International Conference on Clean Electrical Power.

[14]  Yasunori Mitani,et al.  Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach , 2012, IEEE Transactions on Smart Grid.

[15]  D J Burke,et al.  Factors Influencing Wind Energy Curtailment , 2011, IEEE Transactions on Sustainable Energy.

[16]  M. Azzam An optimal approach to robust controller design for load-frequency control , 2002 .

[17]  Anshuman Vaidya,et al.  Enabling wind power plants with frequency and voltage regulation capability by forced curtailment , 2012, 2012 North American Power Symposium (NAPS).

[18]  Ashraf Khalil,et al.  Control strategies in AC microgrid: A brief review , 2018, 2018 9th International Renewable Energy Congress (IREC).

[19]  Mats Wang-Hansen,et al.  Frequency Controlling Wind Power Modeling of Control Strategies , 2013, IEEE Transactions on Sustainable Energy.

[20]  Wang Zhen,et al.  Study on the key factors of regional power grid renewable energy accommodating capability , 2016, 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[21]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.