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UBC Theses and Dissertations

Application of behind-the-meter energy storage systems for household load hiding and frequency regulation service Sun, Yanan

Abstract

The electric utilities industry is undergoing a major paradigm shift, driven by an aging physical infrastructure as well as concerns for carbon emissions. The migration to the digital space with information and communications technology (ICT) as well as the need to integrate more sustainable energy sources have raised new challenges for the legacy power systems. Energy storage systems (ESSs) can help to address the aforementioned challenges and to facilitate the transition to the future smart grid infrastructure. Early deployment of front-of-the-meter utility-scale ESSs have proven to be valuable in providing alternative service options that can benefit the bulk power systems. With the fast declining capital and operating cost, there is a rapid growth in behind-the-meter ESSs adoption. In this thesis, we focus on the application of such ESSs in the low voltage networks and investigate their potential use cases for customers and electric utilities alike. It addresses several specific challenges that exist in the smart grid infrastructure and leverages the unique characteristics of the ESSs to provide solutions for end consumers, the system operator, and storage owners. For end consumers, we design a privacy protection solution at the customer premises based on data obfuscation approach. A household load hiding scheme is developed by exploiting the opportunistic use of the electric vehicles and household appliances to minimize customer’s privacy leakage. For the system operator, we design a frequency regulation scheme based on bi-level optimization that takes into account the ESSs’ operation economics. A decentralized control algorithm is developed to allow the system operator to align with the ESSs on the frequency regulation decisions. For storage owners, we design a market participation strategy to maximize the revenue from providing frequency regulation service. A decision-making framework is developed that allows the storage owners to optimize its operation decisions by anticipating the effect of such decisions on the market clearing outcomes. Our simulation results demonstrate that the applications designed in this thesis by leveraging the behind-the-meter ESSs in the low voltage networks can provide significant benefits for customers and electric utilities alike.

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Attribution-NonCommercial-NoDerivatives 4.0 International

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