Dual stage microgrid energy resource optimization strategy considering renewable and battery storage systems

[1]  Ahmad Rezaee Jordehi,et al.  A mixed binary‐continuous particle swarm optimisation algorithm for unit commitment in microgrids considering uncertainties and emissions , 2020 .

[2]  Andreas Poullikkas,et al.  A novel cluster-based spinning reserve dynamic model for wind and PV power reinforcement , 2021 .

[3]  Wei Gu,et al.  Combined heat and power system intelligent economic dispatch: A deep reinforcement learning approach , 2020, International Journal of Electrical Power & Energy Systems.

[4]  Q. Jiang,et al.  Energy Management of Microgrid in Grid-Connected and Stand-Alone Modes , 2013, IEEE Transactions on Power Systems.

[5]  Jie Li,et al.  Towards accurate modeling of dynamic startup/shutdown and ramping processes of thermal units in unit commitment problems , 2019 .

[6]  Optimal configuration and energy management scheme of an isolated micro-grid using Cuckoo search optimization algorithm , 2019, J. Frankl. Inst..

[7]  Mehdi Savaghebi,et al.  An Optimal Energy Management System for Islanded Microgrids Based on Multiperiod Artificial Bee Colony Combined With Markov Chain , 2017, IEEE Systems Journal.

[8]  M A Matos,et al.  Setting the Operating Reserve Using Probabilistic Wind Power Forecasts , 2011, IEEE Transactions on Power Systems.

[9]  Ahmad Rezaee Jordehi,et al.  Economic dispatch in grid-connected and heat network-connected CHP microgrids with storage systems and responsive loads considering reliability and uncertainties , 2021 .

[10]  V. Miranda,et al.  Wind power forecasting uncertainty and unit commitment , 2011 .

[11]  Navid Ghaffarzadeh,et al.  Optimal sizing of battery energy storage systems in off-grid micro grids using convex optimization , 2019, Journal of Energy Storage.

[12]  Bo Zhao,et al.  Stochastic Optimal Operation of Microgrid Based on Chaotic Binary Particle Swarm Optimization , 2016, IEEE Transactions on Smart Grid.

[13]  L. Shi,et al.  Bidding strategy of microgrid with consideration of uncertainty for participating in power market , 2014 .

[14]  Ahmad Rezaee Jordehi,et al.  An improved particle swarm optimisation for unit commitment in microgrids with battery energy storage systems considering battery degradation and uncertainties , 2020, International Journal of Energy Research.

[15]  Abbas Khosravi,et al.  A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources , 2015 .

[16]  Aijuan Wang,et al.  Distributed Incremental Cost Consensus-Based Optimization Algorithms for Economic Dispatch in a Microgrid , 2020, IEEE Access.

[17]  Djamila Diaf,et al.  A methodology for optimal sizing of autonomous hybrid PV/wind system , 2007 .

[18]  Azah Mohamed,et al.  Optimal siting and sizing of rapid charging station for electric vehicles considering Bangi city road network in Malaysia , 2016 .

[19]  Ding Ming,et al.  Dynamic economic dispatch for microgrids including battery energy storage , 2010, The 2nd International Symposium on Power Electronics for Distributed Generation Systems.

[20]  Majid Gandomkar,et al.  Short-term resource scheduling of a renewable energy based micro grid , 2015 .

[21]  Jaspreet Singh Dhillon,et al.  Multi-objective combined heat and power unit commitment using particle swarm optimization , 2019, Energy.

[22]  Lin Lu,et al.  Investigation on wind power potential on Hong Kong islands—an analysis of wind power and wind turbine characteristics , 2002 .

[23]  Pratik Harsh,et al.  Energy management in microgrid using incentive-based demand response and reconfigured network considering uncertainties in renewable energy sources , 2021 .

[24]  J.A. Momoh,et al.  An approach to determine Distributed Generation (DG) benefits in power networks , 2008, 2008 40th North American Power Symposium.

[25]  Mostafa Sedighizadeh,et al.  Day-ahead energy management and feeder reconfiguration for microgrids with CCHP and energy storage systems , 2020, Journal of Energy Storage.

[26]  Chia-Ling Huang,et al.  New genetic algorithm for economic dispatch of stand-alone three-modular microgrid in DongAo Island , 2020 .

[27]  Xu Qingshan,et al.  Day-ahead economic dispatch of microgrid based on game theory , 2020 .

[28]  Hao Tian,et al.  Improved gravitational search algorithm for unit commitment considering uncertainty of wind power , 2014, Energy.

[29]  Enrico Zio,et al.  Analysis of robust optimization for decentralized microgrid energy management under uncertainty , 2015 .

[30]  Jian Xu,et al.  Dynamic reserve demand estimation model and cost-effectivity oriented reserve allocation strategy for multi-area system integrated with wind power , 2017 .

[31]  Cristian Andrei Badea,et al.  Energy Storage Systems in Microgrid , 2020 .

[32]  Mohammed Akherraz,et al.  Multi-objective optimization and the effect of the economic factors on the design of the microgrid hybrid system , 2020 .

[33]  Noradin Ghadimi,et al.  Multi-objective energy management in a micro-grid , 2018, Energy Reports.

[34]  Hongbin Sun,et al.  A data-driven approach towards fast economic dispatch in electricity–gas coupled systems based on artificial neural network , 2021 .

[35]  Shuang Yuan,et al.  A novel multi-objective robust optimization model for unit commitment considering peak load regulation ability and temporal correlation of wind powers , 2019, Electric Power Systems Research.