Journal Article10.1016/J.ENERGY.2016.09.123
Multi-objective optimal planning of the stand-alone microgrid system based on different benefit subjects
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TL;DR: In this paper, a multi-objective optimal planning model is formulated for medium voltage SAMG, and a two-step power dispatch control method including the voltage regulation strategy is proposed, in which the absorption of distributed power by energy storage system (ESS) and the reactive power adjustment though its power control system are used to regulate voltage.
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About: This article is published in Energy. The article was published on 01 Dec 2016. The article focuses on the topics: Microgrid & Distributed generation.
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Citations
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2
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- 10 Apr 2018
TL;DR: Optimize results in grid-connected and islanded modes demonstrate the effectiveness of the proposed models, methods, and algorithm on the environmental and economic optimal operation of microgrid in various scenarios.
1
Microgrid planning based on computational intelligence methods for rural communities: A case study in the José Painecura Mapuche community, Chile
Raúl Morales,Luis G. Marin,T. Roje,V. Caquilpan,Doris Saez,Alfredo Núñez +5 more
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References
Genetic algorithms: a survey
M. Srinivas,Lalit M. Patnaik +1 more
TL;DR: The analogy between genetic algorithms and the search processes in nature is drawn and the genetic algorithm that Holland introduced in 1975 and the workings of GAs are described and surveyed.
2.3K
A Microgrid Energy Management System Based on the Rolling Horizon Strategy
Rodrigo Palma-Behnke,Carlos Benavides,F. Lanas,Bernardo Severino,Lorenzo Reyes,Jacqueline Llanos,Doris Saez +6 more
TL;DR: The proposed EMS is implemented for a microgrid composed of photovoltaic panels, two wind turbines, a diesel generator and an energy storage system and the results show the economic sense of the proposal.
Energy Management of Microgrid in Grid-Connected and Stand-Alone Modes
TL;DR: In this article, a double-layer coordinated control approach for microgrid energy management is proposed, which consists of two layers: the schedule layer and the dispatch layer, which provides power of controllable units based on real-time data.
651
Multi-objective design of PV–wind–diesel–hydrogen–battery systems
TL;DR: In this article, a triple multi-objective design of isolated hybrid systems minimizing the total cost throughout the useful life of the installation, pollutant emissions (CO2) and unmet load is presented.
575
Microgrid Optimal Scheduling With Multi-Period Islanding Constraints
TL;DR: In this paper, a model for microgrid optimal scheduling considering multi-period islanding constraints is presented, where the objective of the problem is to minimize the microgrid total operation cost which comprises the generation cost of local resources and cost of energy purchase from the main grid.
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