Informs Annual Meeting Phoenix 2018

INFORMS Phoenix – 2018

WA48

3 - Game Theoretic Demand Side Management with a Shared Storage Device Jinkyoo Park, Korea Advanced Institute of Science and Technology, 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Korea, Republic of, Jaeyeon Jo In this study, we propose a decentralized control strategy for distributed energy storage units in a single shared energy storage system. In the proposed control strategy, each ESS user tries to minimize their energy cost while optimizing the charging and discharging schedule of their storage unit and, at the same time, trading their storage capacity among other users, which results in a Nash equilibrium strategy of all the ESS uses. We show the derived Nash equilibrium strategy with capacity trading significantly reduces the average energy cost of users and reduces the peak load of the grid. 4 - A Contract Design Model for Power Demand Side Management Lakshmi Palaparambil Dinesh, Visiting Instructor, Purdue University Fort Wayne, 2101 E. Coliseum Boulevard, Neff 340Q, Fort Wayne, IN, 46805-1445, United States Demand Response (DR) is a mechanism of adjusting electricity usage with respect to peak demand and prices for electricity. DR helps consumers save energy as well as reduce utility bills. This paper covers a novel contract design model that combines customer preferences with utility provider cost minimization model. This novel Contract Design (CD) model has 20% cost savings compared to a benchmark model used in practice. Additionally, we use the CD model to determine the factors leading to cost savings and also identify how customer preferences affect contract design. 5 - Maximum Renewable Utilization with Large Number of Electric Vehicles Pouya Sharifi, Texas A&M University, Emerging Technologies Building,, 3131 TAMU, 101 Bizzell Street, College Station, TX, 77840, United States Vehicle to grid uses electric vehicles (EV) as distributed generation/storage devices to maintain the balance of supply and demand. However, the volatile power generation of renewable energy sources (RES) and unpredictable charging schedule of EV owners may cause problems in system scheduling and as a result, may lead to power curtailment. In this work, we propose a new scheduling framework that exploits the charging information and car owners’ flexibility to build a reliable system while maximizing the RES utilization. We will simulate the proposed algorithm to check the quality of the solutions and schedules. 6 - Research on the Connection and Construction of Sustainable Development for Smart City and Smart Grid Yanyan Ding, Research Assistant, North China Electric Power University, No. 2, Beinong road, Changping, Beijing, 102206, China Smart city is a new form of urban development with the deep integration of ICT technology into the urban life, and the distributed renewable energy has become an indispensable element ofthe sustainable development of smart cities. Smart grids, an application of ICTs, can support to connect the energy production and consumption with plenty of electronic components. This article describes the internal relationship between the construction of smart grids and the sustainable development of smart cities. It points out that building an integrated energy system with millions and thousands of self-equilibrium cells in it can serve as an effective approach for the sustainable development. n WA46 North Bldg 228B Operational and Planning Issues of Integrated Energy Markets Sponsored: Energy, Natural Res & the Environment/Energy Sponsored Session Chair: Stefanos Delikaraoglou, ETH Zurich, Zurich, 8092, Switzerland 1 - Unit Commitment for an Integrated Electricity and Gas Market We consider the joint operations of the electricity and gas networks, capturing the operations of both networks and the market considerations with high fidelity. We present a mixed convex optimization programming approach to the unit commitment problems for the joint operations and compare its benefits to the practice in the field. 2 - Security Assessment in Gas-electric Networks Line Roald, Univeristy of Wisconsin-Madison, Madison, WI, United States, Conor O’Malley, Gabriela Hug The flexibility offered by gas generation is beneficial for electric grids, particularly in the face of increasing renewable generation. However, the gas system sometimes experiences limitations in the ability to deliver gas, with potentially detrimental impacts on the electric grids. We investigate how different operational Pascal Van Hentenryck, University of Michigan, 1813 IOE Building, 1205 Beal Avenue, Ann Arbor, MI, 48108-2117, United States, Geunyeong Byeon

criteria for the gas system cause different levels of post-contingency gas curtailments to generators, with different impact on electric grid operation. Our case study confirms that the security criterion used to determine the required gas curtailments has significant impact the operational cost of the electric grid. 3 - Optimal Short-term Operation of Combined Heat and Power Plants Using Different Operation Modes Ignacio Blanco, Technical University of Denmark, Asmussens Alle, Bygning 303B, Kgs Lyngby, 2800, Denmark, Daniela Guericke, Juan M. Morales, Henrik Madsen, Jong-Bae Park The optimal operation of combined heat and power plants (CHP) is a relevant approach to achieve the integration of both the power grid and the district heating network, where the latter can be used as a buffer to accommodate the fluctuation of renewable energy sources. Large combined cycle gas turbines (CCGT) and coal-based CHP plants can operate in several operation modes. Therefore, the optimal operation of these units results in a computationally hard optimization problem. We propose a stochastic MILP model that can efficiently operate large CHP units making use of the different operation modes to achieve a better co-optimization of the district heating and power networks. 4 - Modelling Long-term and Short-term Uncertainty in Power Market Investments Asgeir Tomasgard, Norwegian University of Science and Technology, Dept. of industrial economics, Alfred getz vei 3, Trondheim, 7491, Norway The EMPIRE model is a European multiscale power market model with investments towards 2050 as well as representative hours.It is well suited to capture operational uncertainty in generation from intermittent energy sources like wind and sun. In this paper we add long-term uncertainty to the formulation. This makes it possible to also study uncertain learning curves, policy uncertainty, long-term commodity process and demand trends. The resulting models are large scale stochastic multi-stage recourse models with hundred of millions of variables. We present both solution methods and analysis of the most important factors. 5 - Information Sharing for Independent Scheduling of Electricity and Natural Gas Systems Stefanos Delikaraoglou, ETH Zurich, Physikstrasse 3, ETL G22, Zurich, 8092, Switzerland, Gabriela Hug The increasing shares of gas-fired electricity generation call for improved coordination between power systems and gas networks. Ideally, these systems should be co-optimized, sharing all the necessary technical and economic information to ensure feasible operation and to minimize total system cost. However, according to the current framework, the scheduling of electricity and natural gas operations is performed through independent and nonconcurrent markets. To address this issue of partial coordination we propose an asynchronous information sharing mechanism, which allows dispatching the gas system accounting for the feasible re-dispatch actions and their cost on the electricity side. n WA48 North Bldg 229B Energy Policy and Planning I Contributed Session Chair: Fikri Kucuksayacigil, Iowa State University, 610 Squaw Creek Drive, Unit 18, Ames, IA, 50010, United States 1 - Asynchronous Decentralized Solution Framework for Large Scale Unit Commitment Paritosh Ramanan, Georgia Institute fo Technology, Atlanta, GA, United States The unit commitment problem for power networks is a critical and a computationally challenging problem especially for large-scale power systems. We propose an asynchronous decentralized solution to the unit commitment problem that preserves privacy of infrastructural data and is also resilient to cyber attacks. We demonstrate that our method is highly scalable, improves computational efficiency and provides a competitive and stable solution quality.ö 2 - Enabling the Smart Grid with Power Cloud Lida Haghnegahdar, PhD Candidate and Research Assistant, SUNY, Vestal, NY, United States, Yong Wang Dynamic pricing, load management and responding to the demands of the energy market are some of the characteristics of a smart grid. And a reliable and cost- effective modern smart grid is desired. One way to achieve these objectives is to implement a cloud approach, where monitoring power grid data flow and data center management are key. A cloud-based approach provides a suitable environment with tools to manage and access data effectively. The objective of this paper is to introduce the power cloud model: an energy system model based on enabling accessible service to computing resources, real-time data stream processing and an environment to integrate data sharing.

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