Optimal Dispatch of Energy Storage Systems for Harmonic Mitigation and Power Factor Correction
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IEEE Power and Energy Society General Meeting
The state of California is leading the nation with respect to solar energy and storage. The California Energy Commission has mandated that starting in 2020 all new homes must be solar powered. In 2010 the California state legislature adopted an energy storage mandate AB 2514. This required California's three largest utilities to contract for an additiona11.3 GW of energy storage by 2020, coming online by 2024. Therefore, there is keen interest in the potential advantages of deploying solar combined with energy storage. This paper formulates the optimization problem to identify the maximum potential revenue from pairing storage with solar and participating in the California Independent System Operator (CAISO) day ahead market for energy. Using the optimization formulation, five years of historical market data (2014-2018) for 2, 172 price nodes were analyzed to identify trends and opportunities for the deployment of solar plus storage.
IEEE Power and Energy Society General Meeting
In this work, we develop an optimization framework to evaluate the benefit of large-scale energy storage system (ESS) for utilizing an existing generation fleet that often operates at suboptimal working conditions due to peaky nature of the load. The objective is to find the optimal schedule for thermal units and the ESS that minimizes the daily system operating cost. This cost is the sum of the fuel cost, variable O M cost and start-up cost of all thermal units and ESS degradation cost. A case study is conducted to evaluate the operating cost savings by using ESS for a utility company in Alaska.
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