Mahdi Pourakbari Kasmaei

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Assistant Professor

Aalto University

Finland

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Mahdi Pourakbari Kasmaei is an Assistant Professor at Aalto University, Finland. His research primarily focuses on power distribution systems, renewable energy integration, and electric vehicle management. Recent publications include studies on reinforcement actions for distribution grids, optimization of battery energy storage systems, and the impacts of electric vehicle integration on power systems.

Recent Grants

Grant: Close

Online Carbon Footprint Allocation- A Joint Price- and Carbon Footprint-Responsive Demands Model to Reduce the GHG Emissions and Manage the Electricity Demand

Open Date: 2016-10-01

Close Date: 2017-10-01

Grant: Close

(A Mixed-Integer Nonlinear Programming Paradigm to Solve Multi-Fuel-based Environmentally-constrained Active-Reactive Optimal Power Flow) Desenvolvimentos de Modelos de Programação Não Linear Inteira Mista para Solução de Problema de Fluxo de Potência Ótimo Ativo e Reativo para Sistemas com Geradores Multi-Combustíveis Considerando Restrições Ambientais

Open Date: 2015-03-01

Close Date: 2017-02-01

Grant: Close

(Optimal Active and Reactive Power Dispatching in Multi-Area Power System Considering Physical, Economic and Environmental Constraints.) Despacho Ótimo de Potências Ativa e Reativa de Sistemas Elétricos Multi-Áreas Considerando Restrições Físicas, Econômicas e Ambientais.

Open Date: 2011-12-01

Close Date: 2015-02-01

Mahdi Pourakbari Kasmaei

Research Interests

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Contact this professor

About

Recent Grants

Articles (20)

Choosing portfolios of reinforcement actions for distribution grids based on partial information

Synchronizing flexible loads with wind energy via Stackelberg game for renewable integration and economic efficiency

Data envelopment analysis to determine reliability targets for power distribution systems

Electric vehicle routing and charging management in road transportation and power distribution systems: An iterative multistage approach

Optimal Allocation and Operation of Battery Energy Storage Systems With Photovoltaic Generation in Modern Distribution Networks: A New Hybrid Approach

Decentralized Stochastic Optimal Power Flow Problem Considering Prohibited Operating Zones and Renewables Sources

GIS-Based Fuzzy-AHP Framework for Identifying Suitable Hubs for Offshore Wind and Clean Hydrogen Production

A review of electric vehicle hosting capacity quantification and improvement techniques for distribution networks

Guest Editorial: Electric Vehicles Integration Impacts on Power Systems

Analysis of Financial Penalties for Low Power Factor in Distribution Systems With High Penetration of Photovoltaics

Photovoltaic hosting capacity improvement based on the economic comparison between curtailment and network upgrade

Economic/Environmental Optimal Power Flow Using a Multiobjective Convex Formulation

Optimal Bilevel Operation-Planning Framework of Distributed Generation Hosting Capacity Considering Rival DISCO and EV Aggregator

The role of EV based peer-to-peer transactive energy hubs in distribution network optimization

A max–min–max robust optimization model for multi-carrier energy systems integrated with power to gas storage system

Strategic Biddings of a Consumer demand in both DA and Balancing Markets in Response to Renewable Energy Integration

A Prediction Model For Lightning-Induced Overvoltages Over Lossy Ground Using Gaussian Process Regression

Bidding a Battery on Electricity Markets and Minimizing Battery Aging Costs: A Reinforcement Learning Approach

Convex Formulation for Optimal Active and Reactive Power Dispatch

An Approach to Divide Wind Power Capacity Between Day-Ahead Energy and Intraday Reserve Power Markets

Collaborators (10)

Arsalan Najafi

Amin Moghimy Fam

Seppo Sierla

Ville Kyrki

Sajjad Fattaheian-Dehkordi

Reinaldo Tonkoski

Pablo Diaz-Cachinero

Joaquín de la Barra

Ahti Salo

Javier Contreras

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