Abstract
This paper presents the visualization approach for enhancing analyses of the ongoing Renewable Integration Impact (RIIA) Assessment by the Midcontinent Independent System Operator (MISO), and brings the following contributions. First, this paper details the customization of state-of-the-art, open-source visualization code to complement existing power system visualization tools and data analytic processes used in MISO. Second, this paper describes how MISO integrates this visualization tool within a novel and holistic process for studying renewable integration issues. This visualization tool provides additional insights for RIIA from multiple aspects with fine spatial-temporal granularity, including the comparison of thermal generation performance at different renewable integration scenarios, improved understanding of complex interactions between regions within MISO, the effects of transmission upgrades on curtailment reduction using optimization techniques, and the improved verification of MISO's simulation results. Lastly, we make the updated visualization code package publicly available.
Highlights
I N THE last decade, the amount of renewable energy integrated into the bulk electric power system in the United States has increased significantly, owing to various federal and state policies, continued reduction in capital costs, and public interests in zero-carbon generation resources
To forecast continued growth of renewables, as well as to understand the impact of its increasing penetration to the bulk electric grid, studies to date have mostly relied on sophisticated power system simulation tools with high
The ability to visualize spatial-temporal data at different time scales, considering multiple aspects of renewable integration adds value to current analytic and visualization tools used at Midcontinent Independent System Operator (MISO)
Summary
I N THE last decade, the amount of renewable energy integrated into the bulk electric power system in the United States has increased significantly, owing to various federal and state policies, continued reduction in capital costs, and public interests in zero-carbon generation resources. With visualizations of the modeling outputs, MISO can illustrate the multidimensional complexity of integrating renewable at different spatial-temporal granularity.
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