A novel consensus-oriented distributed optimization scheme with convergence analysis for economic dispatch over directed communication graphs

[1]  A. S. Abubakar,et al.  Review of economic dispatch in multi-area power system: State-of-the-art and future prospective , 2023, Electric Power Systems Research.

[2]  Sarah Zafar,et al.  The role of environmental initiatives and green value co-creation as mediators: promoting corporate entrepreneurship and green innovation , 2023, SN Business & Economics.

[3]  Saddam Hussain Malik,et al.  A review on effective alarm management systems for industrial process control: Barriers and opportunities , 2023, Int. J. Crit. Infrastructure Prot..

[4]  Dan Liu,et al.  Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems , 2023, Eng. Appl. Artif. Intell..

[5]  M. Short,et al.  Reinforcement Learning-Based Intelligent Control Strategies for Optimal Power Management in Advanced Power Distribution Systems: A Survey , 2023, Energies.

[6]  Saddam Hussain Malik,et al.  Multi-area economic emission dispatch for large-scale multi-fueled power plants contemplating inter-connected grid tie-lines power flow limitations , 2022, Energy.

[7]  K. Hong,et al.  Greenhouse gases emission reduction for electric power generation sector by efficient dispatching of thermal plants integrated with renewable systems , 2022, Scientific Reports.

[8]  K. Hong,et al.  A novel hybrid soft computing optimization framework for dynamic economic dispatch problem of complex non-convex contiguous constrained machines , 2022, PloS one.

[9]  F. Nasiri,et al.  Optimal dispatching of renewable energy‐based urban microgrids using a deep learning approach for electrical load and wind power forecasting , 2021, International Journal of Energy Research.

[10]  Ali Hellany,et al.  Dual stage microgrid energy resource optimization strategy considering renewable and battery storage systems , 2021, International Journal of Energy Research.

[11]  Xing He,et al.  Distributed algorithm based on consensus control strategy for dynamic economic dispatch problem , 2021, International Journal of Electrical Power & Energy Systems.

[12]  Xuedong Wu,et al.  A new multi‐objective hybrid optimization algorithm for wind‐thermal dynamic economic emission power dispatch , 2021 .

[13]  Xiangjing Su,et al.  The distributed economic dispatch of smart grid based on deep reinforcement learning , 2021, IET Generation, Transmission & Distribution.

[14]  Mei Yu,et al.  A consensus approach for economic dispatch problem in a microgrid with random delay effects , 2020 .

[15]  Tao Yang,et al.  An exponentially convergent distributed algorithm for resource allocation problem , 2020, Asian Journal of Control.

[16]  Zhiyun Lin,et al.  Distributed optimization for economic power dispatch with event‐triggered communication , 2019, Asian Journal of Control.

[17]  Abdennaceur Kachouri,et al.  Coordinated consensus for smart grid economic environmental power dispatch with dynamic communication network , 2018 .

[18]  Qian Ai,et al.  Interactive game vector: A stochastic operation-based pricing mechanism for smart energy systems with coupled-microgrids , 2018 .

[19]  Le Yi Wang,et al.  Weighted and Constrained Consensus for Distributed Power Dispatch of Scalable Microgrids , 2015 .

[20]  Junaid Ali Khan,et al.  Performance of Various Metaheuristic Techniques for Economic Dispatch Problem with Valve Point Loading Effects and Multiple Fueling Options , 2014 .

[21]  Lixiang Li,et al.  A multi-objective chaotic ant swarm optimization for environmental/economic dispatch , 2010 .

[22]  N. S. Babu,et al.  Analytical solution for combined economic and emissions dispatch , 2008 .

[23]  Nadeem Javaid,et al.  Overload Management in Transmission System Using Particle Swarm Optimization , 2015, ANT/SEIT.