Journal ArticleDOI
A robust flexible-probabilistic programming method for planning municipal energy system with considering peak-electricity price and electric vehicle
Reads0
Chats0
TLDR
In this paper, a robust flexible probabilistic programming (RFPP) method is developed for planning municipal energy system (MES) with considering peak electricity prices (PEPs) and electric vehicles (EVs), where multiple uncertainties regarded as intervals, probability distributions and flexibilities as well as their combinations can be effectively reflected.About:
This article is published in Energy Conversion and Management.The article was published on 2017-04-01. It has received 37 citations till now. The article focuses on the topics: Electricity & Load shifting.read more
Citations
More filters
Journal ArticleDOI
Parameters identification of photovoltaic models using self-adaptive teaching-learning-based optimization
TL;DR: A self-adaptive teaching-learning-based optimization (SATLBO) that improves the searching ability of different learning phases, an elite learning strategy and a diversity learning method are introduced into the teacher phase and learner phase.
Journal ArticleDOI
Parameter estimation of photovoltaic models with memetic adaptive differential evolution
TL;DR: A memetic adaptive differential evolution, namely MADE, is developed that exhibits remarkable performance on accuracy and reliability and consumes less computational resources than other compared methods.
Journal ArticleDOI
A modular high-resolution demand-side management model to quantify benefits of demand-flexibility in the residential sector
TL;DR: A new dynamic high-resolution demand- side management model is presented which brings together all the key features and guiding principles of demand-side management modeling and was used to explore benefits ofdemand-flexibility for consumers in the residential sector in Greece.
Journal ArticleDOI
Framework for smart transactive energy in home-microgrids considering coalition formation and demand side management
Mousa Marzband,Mohammad Hossein Fouladfar,Mudathir Funsho Akorede,Gordon Lightbody,Edris Pouresmaeil +4 more
TL;DR: An optimization-based algorithm is proposed which ensures that none of the independent players has priority and/or advantage over others, emphasizes optimum use of electrical/thermal energy distribution resources, while maximizing profit for the owners of the home microgrids (H-MGs).
Journal ArticleDOI
Charge pricing model for electric vehicle charging infrastructure public-private partnership projects in China: A system dynamics analysis
TL;DR: Wang et al. as discussed by the authors proposed a system dynamics (SD) technique to develop a charge pricing model based on pro forma financial statements developed during the feasibility study period, which not only ensures charge operators gain the anticipated minimum attractive return of rate, but also not exceed the government-regulated price.
References
More filters
Journal ArticleDOI
A procedure for ordering fuzzy subsets of the unit interval
TL;DR: A function to help in the ordering of fuzzy subsets of the unit interval is introduced, which is the integral of the mean of the level sets associated with the fuzzy subset.
Journal ArticleDOI
Robust possibilistic programming for socially responsible supply chain network design: A new approach
TL;DR: This paper addresses the problem of socially responsible supply chain network design under uncertain conditions by developing a bi-objective mathematical programming model, called robust possibilistic programming (RPP), and several varieties of RPP models are developed.
Proceedings ArticleDOI
Ranking fuzzy subsets over the unit interval
TL;DR: This work investigates the question of ranking fuzzy subsets in the unit interval by presenting some initial ideas and concepts toward a solution of this problem.
Journal ArticleDOI
Fuzzy optimization for supply chain planning under supply, demand and process uncertainties
TL;DR: A fuzzy mathematical programming model for supply chain planning which considers supply, demand and process uncertainties, formulated as a fuzzy mixed-integer linear programming model where data are ill-known and modelled by triangular fuzzy numbers is proposed.
Journal ArticleDOI
Ipwm: an interval parameter water quality management model
TL;DR: In this article, an interval parameter water quality management (IPWM) model and its application to a case study of water pollution control planning within an agricultural system is presented. But the model does not consider the impact of uncertainty on the final decision making process.