H
Hossein Seifi
Researcher at Tarbiat Modares University
Publications - 90
Citations - 2330
Hossein Seifi is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Electric power system & Electricity market. The author has an hindex of 21, co-authored 84 publications receiving 1993 citations.
Papers
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Journal ArticleDOI
Decision making of a virtual power plant under uncertainties for bidding in a day-ahead market using point estimate method
TL;DR: A probabilistic Price Based Unit Commitment (PBUC) approach using Point Estimate Method (PEM) is employed to model the uncertainty in market price and generation sources, for optimal bidding of a VPP in a day-ahead electricity market.
Journal ArticleDOI
A Stochastic-Based Decision-Making Framework for an Electricity Retailer: Time-of-Use Pricing and Electricity Portfolio Optimization
TL;DR: In this article, a decision-making framework based on stochastic programming is proposed for a retailer to determine the sale price of electricity to the customers based on time-of-use (TOU) rates, and manage a portfolio of different contracts in order to procure its demand and to hedge against risks, within a medium-term period.
Journal ArticleDOI
A Dynamic Approach for Distribution System Planning Considering Distributed Generation
TL;DR: In this article, an optimal power flow (OPF) is proposed to minimize capital costs for network upgrading, operation and maintenance costs, and the cost of losses for handling the load growth for the planning horizon.
Book
Electric Power System Planning: Issues, Algorithms and Solutions
TL;DR: Power system planning, basic principles, optimization techniques, and optimization techniques for load forecasting are discussed in this article, where the authors present an overview of the research trends in power system planning.
Journal ArticleDOI
Optimal selling price and energy procurement strategies for a retailer in an electricity market
TL;DR: In this article, a mathematical method based on mixed-integer stochastic programming is proposed to determine the optimal sale price of electricity to customers and the electricity procurement policy of a retailer for a specified period.