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Title: Stochastic Multi-objective Low-Carbon Generation Dispatch Considering Carbon Capture Plants
This paper presents a multi-objective (MO) optimization for economic/emission dispatch (EED) problem incorporating hydrothermal plants, wind power generation, energy storage systems (ESSs) and responsive loads. The uncertain behavior of wind turbines and electric loads is modeled by scenarios. Stochastic programming is proposed to achieve the expected cost and emission production. Moreover, the carbon capture systems are considered to lower the level of carbon emission produced by conventional thermal units. The proposed optimization problem is tested on the IEEE 24-bus case study using DC power flow calculation. The optimal Pareto frontier is obtained, and a fuzzy decision-making tool determined the best solution among obtained Pareto points. The problem is modeled as mixed-integer non-linear programming in the General Algebraic Modelling System (GAMS) and solved using DICOPT solver.
Authors:
; ; ; ;
Award ID(s):
1757207
Publication Date:
NSF-PAR ID:
10229717
Journal Name:
IEEE Industry Applications Society Annual Meeting
Page Range or eLocation-ID:
1 to 6
Sponsoring Org:
National Science Foundation
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