An effective energy flow management in grid-connected solar–wind-microgrid system incorporating economic and environmental generation scheduling using a meta-dynamic approach-based multiobjective flower pollination algorithm-Reference-Cited by-同舟云学术

An effective energy flow management in grid-connected solar–wind-microgrid system incorporating economic and environmental generation scheduling using a meta-dynamic approach-based multiobjective flower pollination algorithm

Published:2021-11 Issue: Volume:7 Page:2711-2726
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

De Meenakshi,Das G.,Mandal K.K.

Funder

Jadavpur University

All India Council for Technical Education

Publisher

Elsevier BV

Subject

General Energy

Reference51 articles.

1. Optimal offering and bidding strategies of renewable energy based large consumer using a novel hybrid robust-stochastic approach;Abedinia;J. Clean. Prod.,2019

2. Presenting a multi- objective generation scheduling model for pricing demand response rate in micro-grid energy management;Aghajani;Energy Convers Manage.,2015

3. Investigation of the Technical and Economic Feasibility of Micro-Grid Based Power Systems;Alto,2001

4. Review on sun tracking technology in solar PV system;Awasthi;Energy Rep.,2020

5. Incorporating high-resolution demand and techno-economic optimization to evaluate micro-grids into the open source spatial electrification tool (OnSSET);Balderrama;Energy Sustain. Dev.,2020

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