Optimal Economic Operation of Islanded Microgrid by Using a Modified PSO Algorithm

An optimal economic operation method is presented to attain a joint-optimization of cost reduction and operation strategy for islanded microgrid, which includes renewable energy source, the diesel generator, and battery storage system. The optimization objective is to minimize the overall generating cost involving depreciation cost, operation cost, emission cost, and economic subsidy available for renewable energy source, while satisfying various equality and inequality constraints. A novel dynamic optimization process is proposed based on two different operation control modes where diesel generator or battery storage acts as the master unit to maintain the system frequency and voltage stability, and a modified particle swarm optimization algorithm is applied to get faster solution to the practical economic operation problem of islanded microgrid. With the example system of an actual islanded microgrid in Dongao Island, China, the proposed models, dynamic optimization strategy, and solution algorithm are verified and the influences of different operation strategies and optimization algorithms on the economic operation are discussed. The results achieved demonstrate the effectiveness and feasibility of the proposed method.

[1]  J.A.P. Lopes,et al.  Defining control strategies for MicroGrids islanded operation , 2006, IEEE Transactions on Power Systems.

[2]  C. Byron Winn,et al.  Optimal dispatch strategy in remote hybrid power systems , 1996 .

[3]  Syed Nasar,et al.  Electric Power Systems , 1972 .

[4]  Xiaohua Xia,et al.  Optimal dynamic economic dispatch of generation: A review , 2010 .

[5]  Javier Contreras,et al.  Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage , 2007 .

[6]  R. Noroozian,et al.  Optimal management of MicroGrid using differential evolution approach , 2010, 2010 7th International Conference on the European Energy Market.

[7]  Bo Zhao,et al.  Optimal sizing, operating strategy and operational experience of a stand-alone microgrid on Dongfushan Island , 2014 .

[8]  Søren Knudsen Kær,et al.  Energy management strategy based on short-term generation scheduling for a renewable microgrid using a hydrogen storage system , 2014 .

[9]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[10]  M.P. Sharma,et al.  Computerized modelling of hybrid energy system— Part II: Combined dispatch strategies and solution algorithm , 2008, 2008 International Conference on Electrical and Computer Engineering.

[11]  Qiong Wu,et al.  Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects , 2010 .

[12]  Orhan Ekren,et al.  Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing , 2010 .

[13]  Gaetano Zizzo,et al.  Multi-objective optimized management of electrical energy storage systems in an islanded network with renewable energy sources under different design scenarios , 2014 .

[14]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[15]  Chemmangot Nayar,et al.  An optimum dispatch strategy using set points for a photovoltaic (PV)–diesel–battery hybrid power system , 1999 .

[16]  Niannian Cai,et al.  A multi-level control architecture for master-slave organized microgrids with power electronic interfaces , 2014 .

[17]  Jiangye Yuan,et al.  A modified particle swarm optimizer with dynamic adaptation , 2007, Appl. Math. Comput..

[18]  Joao P. S. Catalao,et al.  Electric Power Systems : Advanced Forecasting Techniques and Optimal Generation Scheduling , 2012 .

[19]  Bala Venkatesh,et al.  Optimal participation and risk mitigation of wind generators in an electricity market , 2010 .

[20]  Ali M. Eltamaly,et al.  A Novel Design and Optimization Software for Autonomous PV/Wind/Battery Hybrid Power Systems , 2014 .

[21]  Amjad Anvari-Moghaddam,et al.  Optimal energy management of a micro-grid with renewable energy resources and demand response , 2013 .

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

[23]  Yung-Ruei Chang,et al.  Economic analysis and optimal energy management models for microgrid systems: A case study in Taiwan , 2013 .

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

[25]  Ali Naci Celik,et al.  Optimisation and techno-economic analysis of autonomous photovoltaic–wind hybrid energy systems in comparison to single photovoltaic and wind systems , 2002 .