M
Morteza Nazari-Heris
Researcher at Pennsylvania State University
Publications - 101
Citations - 2495
Morteza Nazari-Heris is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Electric power system & Renewable energy. The author has an hindex of 23, co-authored 84 publications receiving 1562 citations. Previous affiliations of Morteza Nazari-Heris include University of Tabriz.
Papers
More filters
Journal ArticleDOI
Optimal economic dispatch of FC-CHP based heat and power micro-grids
TL;DR: In this article, a probabilistic framework based on a scenario method, which is considered for load demand and price signals, is employed to overcome the uncertainties in the optimal energy management of the MG.
Journal ArticleDOI
A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives
TL;DR: The most popular heuristic and meta-heuristic optimization algorithms are studied in this paper, and implementation of the optimization procedures for the solution of CHPED problem taking into account the objective functions and different constrains are discussed.
Journal ArticleDOI
Solving combined heat and power economic dispatch problem using real coded genetic algorithm with improved Mühlenbein mutation
TL;DR: In this article, a real coded genetic algorithm with improved Muhlenbein mutation (RCGA-IMM) was proposed for solving the combined heat and power economic dispatch (CHPED) optimization problem.
Journal ArticleDOI
Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads
Morteza Nazari-Heris,Morteza Nazari-Heris,Mohammad Amin Mirzaei,Behnam Mohammadi-Ivatloo,Mousa Marzband,Somayeh Asadi +5 more
TL;DR: In this paper, a multi-objective two-stage stochastic unit commitment scheme for integrated gas and electricity networks taking into account novel flexible energy sources such as P2G technology and demand response (DR) programs as well as high penetration of wind turbines was proposed.
Journal ArticleDOI
Robust Short-Term Scheduling of Integrated Heat and Power Microgrids
TL;DR: The optimal solution, provided for optimal scheduling of MG, prevents the MG from being exposed to high operational cost considering the undesired deviation of market power prices from the forecasted amount.