Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

TD44

4 - Geospatial Analysis of the Near-term Potential for Carbon Negative Bioenergy in the United States and Pathways of Meeting the Potential Ejeong Baik, Stanford University, Stanford, CA, United States, Daniel Sanchez, Peter A. Turner, Katharine J. Mach, Christopher B. Field, Sally M. Benson Bioenergy with carbon capture and storage (BECCS) is a negative emissions technology that may play a crucial role in climate change mitigation. However, the near-term deployment potential of BECCS is limited by the ability to transport biomass and CO2. A high resolution geospatial analysis is conducted to determine the near-term potential of BECCS in the U.S. by considering the colocation of biomass production and suitable storage sites. The analysis shows that 30% of the available biomass in the U.S. in 2020 is colocated with a storage site, and the resulting near-term potential is 100 Mt CO2/yr. The study helps define opportunities that minimize the social and economic barriers to BECCS deployment. n TD44 North Bldg 227C Panel Discussion on Grand Challenges for Energy Systems Sponsored: Energy, Natural Res & the Environment/Electricity Sponsored Session Chair: Kory Hedman Co-Chair: Javad Lavaei, University of California-Berkeley, Berkeley, CA, 94720, United States 1 - The Need for Better Software to Solve Power Systems Optimization Problems Richard O’Neill, Federal Energy Regulatory Commission, Silver Spring, MD, USA. For over a century, power system optimization has suffered from approximations due to the need for a good, but not optimal solution in a specific time frame. We will review the approximations in current use and what needs to be done to improve both the formulation and solutions. We will discuss the potential payoffs for improvements. 2- Computational Challenges For Power Grid Resiliency Jean-Paul Watson, Sandia National Laboratories, 7305 Blue Cypress Avenue NE, Albuquerque, NM, 87113-2065, United States Solving power grid resiliency problems pose computational challenges that are distinct from those traditionally associated with traditional reliability-focused operations paradigms. We will survey work and open challenges in this key emerging area, emphasizing data science issues that must be solved prior to deployment of any computational resiliency approaches. 3 - The Evolution of Power Systems Needs Jessica Harrison, MISO, Carmel, IN, USA. The power industry is undergoing significant changes, with an increase in digitalization, decentralization and de-marginalization. This presentation will briefly review these trends and then identify what challenges and opportunities they present for the power sector. Particular attention will be given to wholesale markets and the choices and needs wholesale markets and their members face in light of these changes. 4 - Energy Systems Challenges and Overview of Arpa-E Kory W. Hedman, Program Director, Advanced Research Projects Agency-Energy U.S. Dept. of Energy, Washington, DC, United States Panelists n TD45 North Bldg 228A Joint Session ENRE/Practice Curated: One and Two-level Equilibrium Modeling with Applications in Energy II Sponsored: Energy, Natural Res & the Environment/Electricity Sponsored Session Chair: Steven A. Gabriel, University of Maryland, College Park, MD, 20742-3021, United States Co-Chair: Benjamin Field Hobbs, Johns Hopkins University, Baltimore, MD, 21218, United States Richard O’Neill Jessica Harrison

1 - Multi-objective Infrastructure Investment Under Uncertainty Verena Hagspiel, PhD, NTNU, Norway, Maria Lavrutich We study optimal infrastructure investment decisions of a social planner (SP) that has to anticipate capacity investment of a private company (PC) in a market characterized by uncertain demand. The proposed model captures the investment decisions of the SP and PC and accounts for the conflicting objectives and game- theoretic interactions of the distinct agents. Taking an option-based approach allows us to study the effect of uncertainty on the investment decisions, and to take the agents’ discretion over investment timing as well as size into account. We show, if and how the SP can align the decision of the PC with the social optimum using the fact that the PC is dependent on the infrastructure provided. 2 - Bi-level Transmission Planning with Imperfect Transmission and Distribution Charges Pengcheng Ding, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, United States, Benjamin Field Hobbs Transmission network cost recovery is an important issue in part since network charges affect incentives concerning bulk generation investment mix. Investment decisions can be further affected by distributed energy resources’ participation in the market, either in front of or behind the meter, which is also affected by network cost recovery. These interactions are usually neglected in proactive transmission planning. We assume perfect coordination between transmission and distribution network planners, and investigate: how generation and DER decisions would be affected by alternative network cost recovery methods, and how a proactive transmission planner can consider those reactions. 3 - Discretely Constrained Mixed Complementary Problems - Application and Analysis of a Stylized Electricity Market Richard Johannes Weinhold, TU Berlin, Berlin, Germany This paper provides insight into di?erent areas of DC-MCPs. First, we look at three di?erent solution-methods for DC-MCPs from the literature and compare them in terms of solutions and usability. The methods discussed in this paper use disjunctive constraints, special ordered sets of type 1 (SOS1) and an implementation of a certain median function. The di?erent methods are applied to a stylized electricity market including a minimum-generation constraint. The minimum-generation constraint includes binary variables, making the problem a DC-MCP. Integration of Electric Vehicles in Power Grid Sponsored: Energy, Natural Res & the Environment/Energy Sponsored Session Chair: Vignesh Subramanian, Tampa, FL, 33617, United States Co-Chair: Tapas K. Das, University of South Florida, Tampa, FL, 33620-5350, United States 1 - Siting Charging Stations for a Growing Electric Vehicle Fleet Mustafa Lokhandwala, Purdue University, West Lafayette, IN, 47906, United States, Hua Cai While more cities are setting goals for electric vehicle (EV) penetration, the growing EV fleet will require the support of additional charging infrastructures. The charging infrastructure development is a path dependent process in which the city can choose from upgrading the existing charging stations or investing in new ones. The locations and the type of the charging stations can influence the EV system’s electricity demand load profile. This study uses an agent-based model to analyze the optimal charging infrastructure expansion strategies. The emerging travel pattern changes (e.g., ride sharing) and their impacts on the charging station siting are also evaluated. 2 - Solar Powered Bidirectional Smart Charging of EVs with V2G and Regulation Services Mahdi Kefayati, Electric Power Engineers, Inc., 13001 Highway 71, Suite G100, Austin, TX, 78738, United States, Gautham Ram Chandra Mouli, Ross Baldick, Pavol Bauer We present an Integrated PV Inverter and EV Charger module that exploits the time and space synergies between the PV generation and demand for EV charging as well as market prices for energy and reserves to offer an economic, efficient and scalable solution for transportation electrification. The optimal operation of the module, formulated as a MILP is also presented. Finally, simulation results are demonstrated and discussed. n TD46 North Bldg 228B

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