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Power system operators have traditionally addressed system uncertainty through the scheduling of operating reserves. These reserves are excess capacity, either online or offline, that can quickly be used to address unforeseen events in the load profile. As renewable energy resources, namely wind and solar, new techniques are being developed to address the uncertainty introduced from these sources...
This paper investigates the scheduling horizon of power system containing wind and concentrating solar power (CSP) plants with thermal energy storage (TES). CSP plant with TES can be used to reduce the uncertainty of renewable generation and provide services to power system. However, forecast error of wind/solar is strongly related to the forecast horizon. When CSP plant with TES is incorporated into...
The steady rise of electricity demand and renewable energy sources is increasing the need for flexibility to enable power systems to adapt to changes in supply and demand. To this end, demand response programs have the potential to increase the flexibility of the system. In this work, a direct-load-control demand response program is used in the scheduling task of a power system with high levels of...
Time-domain scheduling simulation is the most effective tool for predicting the operational costs in wind-integrated power systems, because it can represent the inter-temporal constraints that limit the balancing actions of the thermal plant, storage, and demand-side measures. High wind penetrations demand just-in-time commitment decisions that reflect the uncertainties in the wind infeed, so that...
This paper proposes a stochastic time-series based method to simulate the volatility of intermittent renewable generation and distributed storage devices along timeline. The proposed method can calculate the optimal timeline for different electricity markets and power systems. In practice, the proposed method is potentially useful for designing market rules and evaluating different design options...
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