Research on Distributed Power Capacity and Site Optimization Planning of AC/DC Hybrid Micrograms Considering Line Factors

With the rapid development of AC/DC hybrid microgrids and the widespread use of distributed power resources, planning strategies for microgrids with high-density distributed power generation have become an urgent problem. Because current research on microgrid planning has not considered line factors, this paper analyses the planning of an AC/DC hybrid microgrid based on an AC microgrid. The capacity and siting of the distributed power resources are optimized, taking into account the influence of the line investment cost and the interactive power upper limit on the planning results. In the proposed model, the objective is aimed at minimizing the sum of investment cost, load-loss economic cost, and system losses, taking into consideration power balance constraints and feeder number constraints. The commercial solver CPLEX is applied to attain the optimal distributed power capacity and site. The theoretical results are verified by an actual system.

[1]  Jin-O Kim,et al.  Reliability Evaluation of Distributed Generation Based on Operation Mode , 2007, IEEE Transactions on Power Systems.

[2]  Wei Zhou,et al.  OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM , 2008 .

[3]  K.N. Miu,et al.  A network-based distributed slack bus model for DGs in unbalanced power flow studies , 2005, IEEE Transactions on Power Systems.

[4]  Osama A. Mohammed,et al.  Control of hybrid AC/DC microgrid involving energy storage, renewable energy and pulsed loads , 2015, 2015 IEEE Industry Applications Society Annual Meeting.

[5]  Peng Wang,et al.  A hybrid AC/DC micro-grid architecture, operation and control , 2011, 2011 IEEE Power and Energy Society General Meeting.

[6]  Xiangning Xiao,et al.  Multi-Objective Coordinated Planning of Distributed Generation and AC/DC Hybrid Distribution Networks Based on a Multi-Scenario Technique Considering Timing Characteristics , 2017 .

[7]  G. C. Oliveira,et al.  Combining analytical models and Monte-Carlo techniques in probabilistic power system analysis , 1992 .

[8]  Amin Khodaei,et al.  AC Versus DC Microgrid Planning , 2017, IEEE Transactions on Smart Grid.

[9]  Jon Andreu,et al.  AC and DC technology in microgrids: A review , 2015 .

[10]  Suryanarayana Doolla,et al.  Hybrid AC–DC Microgrid: Systematic Evaluation of Control Strategies , 2018, IEEE Transactions on Smart Grid.

[11]  T. Ackermann,et al.  Interaction between distributed generation and the distribution network: operation aspects , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[12]  Amin Khodaei,et al.  Provisional Microgrid Planning , 2017, IEEE Transactions on Smart Grid.

[13]  Farzam Nejabatkhah,et al.  Overview of Power Management Strategies of Hybrid AC/DC Microgrid , 2015, IEEE Transactions on Power Electronics.

[14]  Hamidreza Zareipour,et al.  Probabilistic Power Flow by Monte Carlo Simulation With Latin Supercube Sampling , 2013, IEEE Transactions on Power Systems.

[15]  Josep M. Guerrero,et al.  A DC Microgrid Coordinated Control Strategy Based on Integrator Current-Sharing , 2017 .

[16]  Osama A. Mohammed,et al.  Control of a Hybrid AC/DC Microgrid Involving Energy Storage and Pulsed Loads , 2017, IEEE Transactions on Industry Applications.

[17]  Peng Wang,et al.  A Hybrid AC/DC Microgrid and Its Coordination Control , 2011, IEEE Transactions on Smart Grid.

[18]  Mahmoud-Reza Haghifam,et al.  Energy management and operation modelling of hybrid AC–DC microgrid , 2014 .

[19]  Eneko Unamuno,et al.  Hybrid ac/dc microgrids—Part II: Review and classification of control strategies , 2015 .

[20]  Seok-Gu Kang,et al.  Economic Microgrid Planning Algorithm with Electric Vehicle Charging Demands , 2017 .

[21]  Ju Lee,et al.  AC-microgrids versus DC-microgrids with distributed energy resources: A review , 2013 .

[22]  Frede Blaabjerg,et al.  Autonomous Operation of Hybrid Microgrid With AC and DC Subgrids , 2011, IEEE Transactions on Power Electronics.

[23]  Zhen Yang,et al.  Optimal Scheduling of an Isolated Microgrid With Battery Storage Considering Load and Renewable Generation Uncertainties , 2018, IEEE Transactions on Industrial Electronics.

[24]  Zhang Jiong An Improved Particle Swarm Optimization Based Multi-Objective Load Dispatch Under Energy Conservation Dispatching , 2009 .

[25]  Fang Liu,et al.  A hybrid genetic algorithm-interior point method for optimal reactive power flow , 2006, IEEE Transactions on Power Systems.

[26]  Magdy M. A. Salama,et al.  A Planning Approach for the Network Configuration of AC-DC Hybrid Distribution Systems , 2018, IEEE Transactions on Smart Grid.

[27]  Eneko Unamuno,et al.  Hybrid ac/dc microgrids—Part I: Review and classification of topologies , 2015 .

[28]  Jiangwen Wan,et al.  Modeling and Control of the Distributed Power Converters in a Standalone DC Microgrid , 2016 .