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Economic and network feasible online power management for renewable energy integrated smart microgrid

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TLDR
In this paper, a combination of stochastic weight tradeoff particle swarm optimization (SWT-PSO) and interval arithmetic (IA) is proposed to analyze the effects of interval uncertainties of nodal power injections (due to renewable energy sources (RES) and loads) on microgrid cost and power flow variables.
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This article is published in Sustainable Energy, Grids and Networks.The article was published on 2016-09-01. It has received 30 citations till now. The article focuses on the topics: Microgrid & Distributed generation.

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Citations
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Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option

TL;DR: In this paper, a constrained, multi-objective, linear, and mixed-integer programing is proposed to solve the problem of energy management and scheduling in microgrid including thermal and electrical loads, renewable energy sources (solar and wind), CHP, conventional energy sources, energy storage systems (thermal and electrical ones), and portable renewable energy resource (PRER).
Journal ArticleDOI

Optimal operation of CCHP and renewable generation-based energy hub considering environmental perspective: An epsilon constraint and fuzzy methods

TL;DR: The obtained results demonstrate that the carbon emission and operation cost are decreased 1.81% and 4% in the presence of the real-time DRP, respectively.
Journal ArticleDOI

Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures

TL;DR: Finding the main trends in the field of centralized energy management systems (EMS) for microgrids, together with a complete paper database and their features, serve as a useful outcome for a better understanding of the current research-specific challenges, opportunities, potential barriers, and open questions regarding the creation of future centralized EMS developments.
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Real-time stochastic power management strategies in hybrid renewable energy systems: A review of key applications and perspectives

TL;DR: In this article, the authors provide a comprehensive review of the state-of-the-art in real-time power management algorithms for hybrid renewable energy systems, focusing on the gaps that should be further investigated.
Journal ArticleDOI

Stochastic energy management in a renewable energy-based microgrid considering demand response program

TL;DR: This paper addresses the stochastic energy management in a microgrid considering RESs such as solar, wind and tidal sources in the presence of the demand response program and storage devices and applies augmented e -constraint approach to solve the problem.
References
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Journal ArticleDOI

A summary of demand response in electricity markets

TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.

A benchmark low voltage microgrid network

TL;DR: A benchmark LV network developed within the EU project “Microgrids” and later adopted as a benchmark LV system by CIGRE TF C6.04.02 maintains the important technical characteristic of real utility grids, whereas, at the same time, it dispenses with the complexity of actual networks to permit efficient modeling and simulation of microgrid operation.
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System modelling and online optimal management of MicroGrid using Mesh Adaptive Direct Search

TL;DR: In this paper, the Mesh Adaptive Direct Search (MADS) algorithm is used to minimize the cost function of the system while constraining it to meet the customer demand and safety.
Journal ArticleDOI

Interval arithmetic in power flow analysis

TL;DR: Object-oriented programming techniques makes it possible to use interval arithmetic with minimal modifications to existing software, but to reduce the conservatism inherent in all interval arithmetic computations, an iterative method is used to obtain the hull of the solution set.
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