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Multi-objective optimisation of capacity planning for a grid-connected Microgrid (MG) with multi-energy demands is developed in this study. The optimal multi-energy coordinated scheduling, in which uncertainties of renewable energy generation and electricity demand are described by uncertainty intervals, is considered within the capacity planning model. To solve the capacity planning problem while...
The current energy infrastructure heavily depends on fossil energy, which will be mostly depleted beyond 21st century. Another built-in disadvantage of fossil energy is the pollutant and green house gas emission. It is time to reform the environment-degrading energy infrastructure into a sustainable and resilient energy infrastructure such that it is more environmental friendly. Compared with fossil...
Distributed power generation provides electric power at a site closer to customers. This paper, formulates the problem of optimal utilization of renewable energy options to meet the peak load demand. A Monte Carlo apportioning technique of solar photovoltaic, co-generation, wind power, and small hydro, which considers specific techno-economic constraints, such as capital cost and generation cost constraints,...
In this paper a long term planning for distributed generation and renewable resources is applied. The dependence on fossil fuel imports render the adoption and diffusion of distributed generation technologies and renewable resources a field of research increasingly recognized as important. This study contains both technical and economic feasibility of the distributed generation and renewable concept...
This paper describes a methodology to design a hybrid renewable energy system over a certain planning horizon. Traditionally a system plan was developed to achieve a minimum cost objective (MCO) while satisfying the energy demand, reliability, stability and battery constraints. The minimum emissions objective (MEO) is now an important target to achieve subject to the above mentioned constraints. Each...
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