Federal Energy Regulatory Commission and Renewable Energy

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In recent decades, there has been growing interest in renewable energy sources among the world. According to a renewables report [1], 19% of global final energy consumption are from renewable energy and the number is continuing to grow. Particularly, new renewables (wind, solar, geothermal, biofuels) are growing extremely fast. For example, wind power is growing at rate of 30% annually. These renewable sources becomes so attractive is because of its sustainability and little harm to the environment.
On the other hand, renewable energy sources , such as wind power and solar energy have a high degree of volatility and intermittency. This makes the penetration of renewable energy in electric power system challenging, and requires a regulation to ensure that power supply matches power demand.
The regulation is required by each balancing authority (BA) on multiple time-scales, correspond- ing to the time-scales of volatility of both supply and demand for power. Resources that supply these regulation services are collectively known as ancillary services. Federal Energy Regulatory Commission (FERC) orders 755 and 745 are intended to provide incentives for the provision of these services.
The regulation signal for balancing the power demand and supply is on average zero-energy. This makes use of deferrable loads particularly attractive as sources of ancillary service. The basic idea is to let the deviation of aggregate power consumption of deferrable loads fill the gap between power demand and supply.
Many utilities already employ deferrable loads to reduce peak demand and manage emergency situations. Florida Power and Light (FPL), for example, has more than 780,000 customers enrolled in their OnCall Savings Program [2]. By enrolling in t...

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...rgy sources.
Mean-field games have been employed in the analysis of aggregate loads [6,12], where optimality is achieved when the number of loads increases to infinity. More details on general theory of mean- field techniques can be found in [13–15].
The research described in this proposal concerns harnessing the flexibility of aggregates of deferrable loads to provide ancillary service, without significant impact on the needs of consumers or industry.
In the proposed work, an nonlinear model for aggregate of loads is developed by using mean field limit, and this model is then approximated as an LTI system for controller design. A randomized control structure is proposed with the purpose of realizing intelligent decentralized control and avoiding synchronization. The individual risk in mean field model is examined and also eliminated with an additional local control.

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