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Mahdi Samadi

Researcher at Hakim Sabzevari University

Publications -  37
Citations -  202

Mahdi Samadi is an academic researcher from Hakim Sabzevari University. The author has contributed to research in topics: Computer science & Demand response. The author has an hindex of 6, co-authored 20 publications receiving 109 citations. Previous affiliations of Mahdi Samadi include Ferdowsi University of Mashhad.

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A novel approach to multi energy system operation in response to DR programs; an application to incentive-based and time-based schemes

TL;DR: In this article, an integrated responsive load model is employed to illustrate the load modifications due to price changes and incentives/penalties (pertaining to TBDR programs) and to minimize the EH operation cost by optimal deciding on the purchased energy carriers as well as the converter/storage systems' schedule with respect to the modified purchased energy patterns.
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Energy generation cost in multi-energy systems; an application to a non-merchant energy hub in supplying price responsive loads

TL;DR: A new EH operation optimization model is proposed, which determines the optimum response of the responsive loads to the associated EH generation costs, in order to minimize the total operation cost of the EH as well as the customers’ payments.
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Assessment of the collusion possibility and profitability in the electricity market: A new analytical approach

TL;DR: An analytical approach for evaluating the potential of collusion in the electricity market, based on the Jacobian matrix of GenCos’ profit, and four indices are introduced to evaluate the collusion possibility and profitability that allows market regulator to assess the degree of competition in the Electricity market.
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Locational marginal price share: a new structural market power index

TL;DR: “unit-based LMP_S” index, which indicates the contribution factor of each unit at LMP of each bus, is proposed as a new structural market power index, also used as an effective tool to determine the most profitable coalition between two units.
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Modeling the effects of demand response on generation expansion planning in restructured power systems

TL;DR: The effects of demand responsiveness are studied from the points of view of both customers and generation companies and results show that reducing just 3% of the customers’ demand may result in a benefit of about 10% for customers in the long term.