Evaluating demand response opportunities for power systems resilience using MILP and MINLP Formulations

Abstract

While peak shaving is commonly used to reduce power costs, chemical process facilities that can reduce power consumption on demand during emergencies (e.g., extreme weather events) bring additional value through improved resilience. For process facilities to effectively negotiate demand response (DR) contracts and make investment decisions regarding flexibility, they need to quantify their additional value to the grid. We present a grid‐centric mixed‐integer stochastic programming framework to determine the value of DR for improving grid resilience in place of capital investments that can be cost prohibitive for system operators. We formulate problems using both a linear approximation and a nonlinear alternating current power flow model. Our numerical results with both models demonstrate that DR can be used to reduce the capital investment necessary for resilience, increasing the value that chemical process facilities bring through DR. However, the linearized model often underestimates the amount of DR needed in our case studies. Published 2018. This article is a U.S. Government work and is in the public domain in the USA. AIChE J, 65: e16508, 2019

Proactive Resilience of Power Systems Against Natural Disasters: A Literature Review

“…To evaluate power interruption time spans of hurricanes, a statistical model is presented in [157]. The authors in [158] propose a mixed-integer stochastic programming framework to measure the worth that chemical facilities can provide to the resilience of the power systems through demand response. In view of the stochastic and sequential properties of events, the prospect effects of events on power system resilience are investigated utilizing sequential Monte Carlo emulations [43].…”

Transmission Grid Resiliency Investment Optimization Model With SOCP Recovery Planning

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A Microgrid Formation-Based Restoration Model for Resilient Distribution Systems Using Distributed Energy Resources and Demand Response Programs

“…This work considers critical loads and interruptible loads as a demand response program to enhance the resilience of distribution systems after HR events. In Bynum et al (2019) demand response contracts for chemical process facilities in transmission network. In Hafiz et al (2019), a framework for resilient distribution service restoration was presented by considering the integrated control of household flexible appliances to shape the demand curve.…”