Journal ArticleDOI
Optimal economic dispatch of FC-CHP based heat and power micro-grids
TLDR
In this article, a probabilistic framework based on a scenario method, which is considered for load demand and price signals, is employed to overcome the uncertainties in the optimal energy management of the MG.About:
This article is published in Applied Thermal Engineering.The article was published on 2017-03-05. It has received 211 citations till now. The article focuses on the topics: Demand response & Economic dispatch.read more
Citations
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A comprehensive review of heuristic optimization algorithms for optimal combined heat and power dispatch from economic and environmental perspectives
TL;DR: The most popular heuristic and meta-heuristic optimization algorithms are studied in this paper, and implementation of the optimization procedures for the solution of CHPED problem taking into account the objective functions and different constrains are discussed.
Journal ArticleDOI
Robust multi-objective optimal design of islanded hybrid system with renewable and diesel sources/stationary and mobile energy storage systems
Zaoli Yang,Mojtaba Ghadamyari,Hossein Khorramdel,S.M. Alizadeh,Sasan Pirouzi,Muhammed Milani,Farzad Banihashemi,Noradin Ghadimi +7 more
TL;DR: Capacity of the method in extracting a robust IHS for sources and ESSs are validated depending on optimal economic and environmental conditions, and the scheme obtains a robust structure for the IHS.
Journal ArticleDOI
A novel stochastic energy management of a microgrid with various types of distributed energy resources in presence of demand response programs
TL;DR: Two-stage stochastic programming approach is used to minimize the operational cost in microgrid energy management and a scenario reduction method based on mixed-integer linear optimization is obtained.
Journal ArticleDOI
Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads
Morteza Nazari-Heris,Morteza Nazari-Heris,Mohammad Amin Mirzaei,Behnam Mohammadi-Ivatloo,Mousa Marzband,Somayeh Asadi +5 more
TL;DR: In this paper, a multi-objective two-stage stochastic unit commitment scheme for integrated gas and electricity networks taking into account novel flexible energy sources such as P2G technology and demand response (DR) programs as well as high penetration of wind turbines was proposed.
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Day-ahead stochastic multi-objective economic/emission operational scheduling of a large scale virtual power plant
TL;DR: A model is proposed for the energy management of a VPP including PhotoVoltaic modules, wind turbines, Electrical Energy Storage systems, Combined Heat and Power units, and heat-only units, which provides the possibility of selecting a compromise solution for the VPP operator in accordance with environmental restrictions and economic constraints.
References
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Journal ArticleDOI
Robust Energy Management for Microgrids With High-Penetration Renewables
TL;DR: To address the intrinsically stochastic availability of renewable energy sources (RES), a novel power scheduling approach is introduced that involves the actual renewable energy as well as the energy traded with the main grid, so that the supply-demand balance is maintained.
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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.
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Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids
TL;DR: Simulation results clearly indicate that the agent-based management is effective in resource management among multiple microgrids economically and profitably.
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Scenario-based stochastic operation management of MicroGrid including Wind, Photovoltaic, Micro-Turbine, Fuel Cell and Energy Storage Devices
TL;DR: In this article, an efficient stochastic framework is proposed to investigate the effect of uncertainty on the optimal operation management of MGs, which considers the uncertainties of load forecast error, wind turbine (WT) generation, photovoltaic (PV) generation and market price.
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Optimal Bidding Strategy for Microgrids Considering Renewable Energy and Building Thermal Dynamics
Duong Tung Nguyen,Long Bao Le +1 more
TL;DR: An optimal day-ahead price-based power scheduling problem for a community-scale microgrid (MG) is studied and the great benefits in exploiting the building thermal dynamics and the flexibility of the proposed scheduling method in achieving different practical design tradeoffs are presented.