Simulation tools for electricity markets considering power flow analysis

[1]  Jin-Kuk Kim,et al.  Optimization of site utility systems for renewable energy integration , 2023, Energy.

[2]  A. Foley,et al.  A review of current analytical methods, modelling tools and development frameworks applicable for future retail electricity market design , 2022, Energy.

[3]  Qiong Wu,et al.  Optimal Trading Strategies for Multi-Energy Microgrid Cluster Considering Demand Response Under Different Trading Modes: A Comparison Study , 2022, SSRN Electronic Journal.

[4]  Seyed Ehsan Ahmadi,et al.  Decentralized Bi-Level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies , 2022, Energy.

[5]  Matti Lehtonen,et al.  State-of-the-Art of Optimal Active and Reactive Power Flow: A Comprehensive Review from Various Standpoints , 2021, Processes.

[6]  Audun Botterud,et al.  Long-term uncertainties in generation expansion planning: Implications for electricity market modelling and policy , 2021, Energy.

[7]  Juan M. Corchado,et al.  Constrained Generation Bids in Local Electricity Markets: A Semantic Approach , 2020, Energies.

[8]  M. S. Jamil Asghar,et al.  A Comprehensive Review of Power Flow Controllers in Interconnected Power System Networks , 2020, IEEE Access.

[9]  Javad Salehi,et al.  Optimal scheduling of active distribution networks with penetration of PHEV considering congestion and air pollution using DR program , 2019, Sustainable Cities and Society.

[10]  Zita A. Vale,et al.  AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations , 2019, IJCAI.

[11]  K. Moorthy,et al.  Breaking barriers in deployment of renewable energy , 2019, Heliyon.

[12]  Florian Schäfer,et al.  Pandapower—An Open-Source Python Tool for Convenient Modeling, Analysis, and Optimization of Electric Power Systems , 2017, IEEE Transactions on Power Systems.

[13]  Ruslan A. Ufa,et al.  Methodology for validation of electric power system simulation tools , 2017, 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe).

[14]  Zita Vale,et al.  MASCEM: Optimizing the performance of a multi-agent system , 2016 .

[15]  Michael J. North,et al.  Agent-based modeling of electric power markets , 2014, Proceedings of the Winter Simulation Conference 2014.

[16]  N. Djilali,et al.  GridLAB-D: An Agent-Based Simulation Framework for Smart Grids , 2014, J. Appl. Math..

[17]  S. Low.  Convex relaxation of optimal power flow: A tutorial , 2013, 2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid.

[18]  P. Klemperer.  Auction Theory: A Guide to the Literature , 1999 .