Evaluating the effectiveness of normal boundary intersection method for short-term environmental/economic hydrothermal self-scheduling

Ahmadi, Abdollah; Kaymanesh, Amirabbas; Siano, Pierluigi; Janghorbani, Mohammadreza; Nezhad, Ali Esmaeel; Sarno, Debora

doi:10.1016/j.epsr.2015.02.007

Cited by 55 publications

(15 citation statements)

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“…Future works will be based on the reduction of the residential energy demand, by means of the evaluation and the control of the storage system in the renewable energy systems, in addition to the EMS control logic. Moreover, also a multi-objective optimization can be considered in order to optimize the electrical energy costs [31,32].…”

Section: Discussionmentioning

confidence: 99%

Designing an Energy Management System for smart houses

Acone

Romano

Piccolo

et al. 2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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Most advantages that the smart grid will bring derive from its capability of improving reliability performance and customers' responsiveness and encouraging greater efficiency decisions by the customers. In this optic, the paper presents an innovative Energy Management System for smart houses, allowing the optimization of the electricity cost and electrical energy consumption and, at the same time, preserving the enduser comfort.

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Section: Discussionmentioning

confidence: 99%

Designing an Energy Management System for smart houses

Acone

Romano

Piccolo

et al. 2015

2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)

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“…Pareto optimal solutions are such that none of the objective functions can be enhanced in value without degrading some of the other objective values. Pareto optimal solutions can be found among a set of feasible solutions, Ω, by solving the following multiobjective optimization problem [29][30][31][32][33][34][35][36][37][38]:…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Multiobjective Optimal Design of Photovoltaic Synchronous Boost Converters Assessing Efficiency, Reliability, and Cost Savings

Adinolfi

Graditi

Siano

et al. 2015

IEEE Trans. Ind. Inf.

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Optimal design of switching converters for the integration\ud and optimal exploitation of renewable energy sources\ud (RES) represents a crucial issue often debated in the recent power\ud electronics literature. The design problem required to carry out\ud a multiobjective optimization characterized by simultaneous conflicting\ud objectives, such as efficiency, reliability, and price, where\ud the best compromise solution should be found by the decision\ud maker among Pareto-optimal solutions. In this paper, a novel\ud design method for distributed maximum power point tracking\ud (DMPPT) synchronous boost converter is proposed. The method\ud is based on nondominated sorting genetic algorithm with the aim\ud to obtain the best synchronous rectification (SR) boost topology\ud while considering different targets such as converter efficiency\ud and reliability maximization, as well as converter price minimization.\ud New weighted indices are also proposed for a more realistic\ud characterization of the devices

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“…The first way focuses on how to effectively decrease emission level by means of improving the existing power dispatch strategies in the power system that fossil-fuel is dominant [2]. The related research mainly involve the dynamic economic dispatch (DED) [3], economic emission dispatch (EED) [4][5][6] and hydrothermal economic/environmental dispatch (HEED) problem [7][8][9] with the purpose of optimizing generation cost and emission level, simultaneously. The second approach we generally used is to exploit renewable energy such as wind energy, which can effectively decrease our dependence on fossil fuels.…”

Section: Introductionmentioning

confidence: 99%