Optimal generation scheduling in islanded microgrids

Moga, Daniel; Petreuş, Dorin; Mureșan, Vlad; Stroia, Nicoleta; Cosovici, Gloria

doi:10.1016/j.ifacol.2016.10.732

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…This multidirectional adjustment capability means that industrial chain resilience can act as a bridge to coordinate regional industrial chain development and solve the challenge of the energy sector's impossible triangle, achieving long-term sustainable development in a dynamic global economic environment. By strengthening industrial chain resilience, we can build a more resilient economic system that can maintain balanced development in the face of evolving market and technological challenges and achieve the integration of security and the economic and environmental goals of the energy system [44].…”

Section: Mediating Effect Of Industrial Chain Resiliencementioning

confidence: 99%

Can China’s Regional Industrial Chain Innovation and Reform Policy Make the Impossible Triangle of Energy Attainable? A Causal Inference Study on the Effect of Improving Industrial Chain Resilience

Lu,

2024

Energies

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This study used a double machine learning model (based on the random forest algorithm) and spatial Durbin DIDs model to conduct quasi-natural experiments. The results are as follows: (1) innovation and reform policy regarding regional industrial chains as well as their resilience can significantly and positively address the development of China’s impossible triangle coupling of energy; (2) implementing the innovation and reform policy for regional industrial chains in other regions can have a significant positive spatial transmission effect on the impossible triangle coupling coordinated development of energy in the region; (3) regional industrial chain resilience can produce a significant positive mediating effect between the innovation and reform policy of regional industrial chains and the safety, reliability, and economic feasibility of green and clean energy systems; (4) under the counterfactual framework, the mechanism path “innovation and reform policy of the regional industry chain→regional industry chain resilience→coordination degree of impossible triangle coupling of energy” has significantly positive direct and indirect effects in both the treatment group and the control group. However, “innovation and reform policy of the regional industrial chain→regional industrial chain resilience→the energy sector’s impossible triangle coupling coordination degree” and “innovation and reform policy of the regional industrial chain→leading power of the regional industrial chain→the energy sector’s impossible triangle coupling coordination degree” have significantly positive direct and indirect effects in the treatment group, but only the direct effect is significant in the control group.

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Section: Mediating Effect Of Industrial Chain Resiliencementioning

confidence: 99%

Can China’s Regional Industrial Chain Innovation and Reform Policy Make the Impossible Triangle of Energy Attainable? A Causal Inference Study on the Effect of Improving Industrial Chain Resilience

Lu,

2024

Energies

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“…HOMER software is used to determine the reduction in gas emission. Daniel Moga [51] on the day-ahead forecasted power of noncontrollable loads at each time interval of the day (the load profile for the equipment of a greenhouse) in addition to the weather forecast based estimation of the solar energy availability. The optimization time period is one day (24 hours) that is divided into hourly slots.…”

Section: Optimal Operation Of Microgridmentioning

confidence: 99%

A review of optimal operation of microgrids

Karthik

Parvathy

Arul

2020

IJECE

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The term microgrid refers to small-scale power grid that can operate autonomously or in concurrence with the area’s main electrical grid. The intermittent characteristic of DGs which defies the power quality and voltage manifests the requirement for new planning and operation approaches for microgrids. Consequently, conventional optimization methods in new power systems have been critically biased all through the previous decade. One of the main technological and inexpensive tools in this regard is the optimal generation scheduling of microgrid. As a primary optimization tool in the planning and operation fields, optimal operation has an undeniable part in the power system. This paper reviews and evaluates the optimal operation approaches mostly related to microgrids. In this work, the foremost optimal generation scheduling approaches are compared in terms of their objective functions, techniques and constraints. To conclude, a few fundamental challenges occurring from the latest optimal generation scheduling techniques in microgrids are addressed.

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“…In last couple of years, appreciable efforts have been suggested for the energy management of standalone and grid-connected MG operational modes [6][7][8][9][10][11]. Specifically, probabilistic programming models have been proposed in [12,13], while dynamic programming models are suggested in [14,15].…”

Section: Energy Management Using Deterministic and Chance-constrainedmentioning

confidence: 99%

Jaya based Optimization Method with High Dispatchable Distributed Generation for Residential Microgrid

et al. 2018

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This paper presents a model for optimal energy management under the time-of-use (ToU) and critical peak price (CPP) market in a microgrid. The microgrid consists of intermittent dispatchable distributed generators, energy storage systems, and multi-home load demands. The optimal energy management problem is a challenging task due to the inherent stochastic behavior of the renewable energy resources. In the past, medium-sized distributed energy resource generation was injected into the main grid with no feasible control mechanism to prevent the waste of power generated by a distributed energy resource which has no control mechanism, especially when the grid power limit is altered. Thus, a Jaya-based optimization method is proposed to shift dispatchable distributed generators within the ToU and CPP scheduling horizon. The proposed model coordinates the power supply of the microgrid components, and trades with the main grid to reduce its fuel costs, production costs, and also maximize the monetary profit from sales revenue. The proposed method is implemented on two microgrid operations: the standalone and grid-connected modes. The simulation results are compared with other optimization methods: enhanced differential evolution (EDE) and strawberry algorithm (SBA). Finally, simulation results show that the Jaya-based optimization method minimizes the fuel cost by up to 38.13%, production cost by up to 93.89%, and yields a monetary benefit of up to 72.78% from sales revenue.

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Optimal generation scheduling in islanded microgrids

Cited by 9 publications

References 18 publications

Can China’s Regional Industrial Chain Innovation and Reform Policy Make the Impossible Triangle of Energy Attainable? A Causal Inference Study on the Effect of Improving Industrial Chain Resilience

Can China’s Regional Industrial Chain Innovation and Reform Policy Make the Impossible Triangle of Energy Attainable? A Causal Inference Study on the Effect of Improving Industrial Chain Resilience

A review of optimal operation of microgrids

Jaya based Optimization Method with High Dispatchable Distributed Generation for Residential Microgrid

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