Jan 02 2014
Optimizing Smart Grids
Increasing environmental issues, security of energy supply, drive research and development towards renewable energy sources (RES) worldwide. A key issue of RES, such as wind and solar resources, is intermittency. RES are not dispatchable, they exhibit large fluctuations, and are uncertain.
The intermittency of RES can be absorbed by the hybrid combination of different RES (PV and Wind) and distributed resources such as energy storage, programmable loads and smart appliances. The choice of different RES as well as storage devices (hydrogen, batteries) depends on the location, the hybrid energy system’s operational mode (stand-alone vs. grid-connected) and its size. In order to realize such a system‘s full benefit, resources have to be coordinated to efficiently and reliably provide services (e.g. power, hydrogen storage size) in the face of uncertainty that arises from renewables and consumers. To address the issues associated with RES, there has been a growing interest in the development of energy management algorithms for islanded and grid-connected hybrid energy systems.
The challenge is to find the optimal commitment and dispatch of renewable energy so that certain objectives are achieved. A commonly pursued objective for a stand-alone mode of operation is to economically supply a local load. Additional objectives such as the minimization of greenhouse gas emissions by applying heuristic and multi-objective optimization techniques can also be implemented. Recent research has sought to incorporate predictions to deliver proactive unit commitment. Significant cost savings have been demonstrated when load predictions and weather/ambient condition forecasts are included.
We solve this problem by developing a modular very innovative optimization algorithms technology that can take energy inputs from hydrogen fuel cell, renewable energy sources (solar and wind), lithium-ion battery packs, electrical loads and dispatches efficiently electricity within the grid driven by Genport’s Real Time Optimization Engine.
The combination of these technologies results in a outstanding reliable source of power, Genport 300/1000 HPS suitable for a variety of off-grid applications including military, emergency, telecommunications, PCs, battery charging, electro-medical devices, stationary micro-grids, and auxiliary power.
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