2018/12/11 by Aramazd Muzhikyan, Muzhikyan, Aramazd, Steffi O. Muhanji +9
Energy · Engineering · #Electric Power System Optimization #FOS: Electrical engineering #Global Energy Security and Policy #Integrated Energy Systems Optimization #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1812.04787
openalex publication_date 2018/12/11 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The bulk electric power system in New England is fundamentally changing. The\nrepresentation of nuclear, coal and oil generation facilities is set to\ndramatically fall, and natural gas, wind and solar facilities will come to fill\ntheir place. The introduction of variable energy resources (VERs) like solar\nand wind, however, necessitates fundamental changes in the power grid's dynamic\noperation. VER forecasts are uncertain and their profiles are intermittent thus\nrequiring greater quantities of operating reserves. This paper describes the\nmethodology and the key findings of the 2017 ISO New England System Operational\nAnalysis and Renewable Energy Integration Study (SOARES). This study was\ncommissioned by the ISO New England stakeholders to investigate the effect of\nseveral scenarios of varying generation mix on normal operating reserves. The\nproject was conducted using the holistic assessment approach called the\nElectric Power Enterprise Control System (EPECS) simulator.The EPECS\ncharacterizes a power system in terms of the physical power grid and its\nmultiple layers of control including commitment decisions, economic dispatch,\nand regulation services. This paper provides precise definitions of how\nvariable energy resources and operating reserves are modeled. It also includes\ndetailed models of the day-ahead resource scheduling, the same-day resource\nscheduling, the real-time balancing operations and the regulation service.\nAmong the key findings, the reports shows that scenarios with high penetrations\nof VERs exhaust their operating reserves for part of the year and all scenarios\ncurtail semi-dispatchable resources both to complement operating reserves and\nto mitigate some of the topological limitations of the system. Overall,\ncurtailment emerges as a key balancing performance control lever and there is a\nclear need for higher amounts of operating reserves.\n