Accommodating High Levels of Variable Generation - NERC
Accommodating High Levels of Variable Generation - NERC
Accommodating High Levels of Variable Generation - NERC
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Conclusions & Recommended Actions<br />
generation. Additional research and development on probabilistic power system<br />
planning techniques and the data needed to perform this analysis is required.<br />
4.5. Minimum requirements and/or market mechanisms (e.g., price signals) should be<br />
developed to ensure that all generation, the bulk power system and resulting system<br />
operations has the desired characteristics (e.g., ramping requirements, minimum<br />
generation levels, shorter scheduling intervals, etc.) and to foster the development <strong>of</strong> an<br />
appropriate resource mix that will maintain reliability.<br />
4.6. The variable generation manufacturers should support the development <strong>of</strong> detailed 3-<br />
phase models required for special power system studies.<br />
4.7. State, provincial, and federal agencies and policy makers should consider:<br />
o The impacts <strong>of</strong> variable generation integration on interstate and provincial bulk power<br />
system reliability in their oversight and evaluations.<br />
o Collaborative efforts needed to remove obstacles, accelerate siting, and approve<br />
permits for transmission line construction.<br />
o The importance <strong>of</strong> coordinated transmission and resource planning.<br />
o The issues and opportunities associated with larger balancing areas and the<br />
desirability <strong>of</strong> shorter resource scheduling intervals or regional dispatch optimization.<br />
4.8. The following industry research and development activities are needed:<br />
o Develop demand response and storage technologies.<br />
o Monitor the impact on reliability <strong>of</strong> distributed variable generators.<br />
o Improve forecasting methods, in particular, specific applications such as severe<br />
weather and next hour(s) ramping event forecasting.<br />
o Develop advanced probabilistic power system planning techniques.<br />
<strong>Accommodating</strong> <strong>High</strong> <strong>Levels</strong> <strong>of</strong> <strong>Variable</strong> <strong>Generation</strong> 65