Energy

Lagrangian relaxation based heuristics for a chance-constrained optimization model of a hybrid solar-battery storage system

  • Bismark Singh
  • Bernard Knueven
    • Categories Energy, Stochastic Programming Tags , , , , , , , ,

    Published in Journal of Global Optimization. https://doi.org/10.1007/s10898-021-01041-y We develop a stochastic optimization model for scheduling a hybrid solar-battery storage system. Solar power in excess of the promise can be used to charge the battery, while power short of the promise is met by discharging the battery. We ensure reliable operations by using a joint chance … Read more

    A Framework for Peak Shaving Through the Coordination of Smart Homes

  • Miguel F. Anjos
  • Michael David de Souza Dutra
  • Sébastien Le Digabel
    • Categories (Mixed) Integer Linear Programming, Energy, Scheduling

    In demand–response programs, aggregators balance the needs of generation companies and end-users. This work proposes a two-phase framework that shaves the aggregated peak loads while maintaining the desired comfort level for users. In the first phase, the users determine their planned consumption. For the second phase, we develop a bilevel model with mixed-integer variables and … Read more

    A scalable mixed-integer decomposition approach for optimal power system restoration

  • Ignacio Aravena
  • Shmuel Oren
  • Deepak Rajan
  • Georgios Patsakis
  • Jennifer Rios
    • Categories (Mixed) Integer Linear Programming, Branch and Cut Algorithms, Energy Tags , , ,

    The optimal restoration problem lies at the foundation of the evaluation and improvement of resilience in power systems. In this paper we present a scalable decomposition algorithm, based on the integer L-shaped method, for solving this problem for realistic power systems. The algorithm works by partitioning the problem into a master problem and a slave … Read more

    A general framework for customized transition to smart homes

  • Miguel F. Anjos
  • Michael David de Souza Dutra
  • Sébastien Le Digabel
    • Categories Energy Tags , , ,

    Smart homes have the potential to achieve efficient energy consumption: households can profit from appropriately scheduled consumption. By 2020, 35% of all households in North America and 20% in Europe are expected to become smart homes. Developing a smart home requires considerable investment, and the householders expect a positive return. In this context, we address … Read more

    Pricing in Multi-Interval Real-Time Markets

  • Ross Baldick
  • Eugene Litvinov
  • Bowen Hua
  • Dane Schiro
  • Tongxin Zheng
    • Categories Energy Tags , , , ,

    This paper examines multi-interval real-time markets in the context of US independent system operators (ISOs). We show that current ISO implementations that settle only the upcoming interval of the multi-interval solution can create incentive problems. Fundamentally, this is the result of each successive optimization problem treating historical losses as sunk costs. To solve the incentive … Read more

    Towards Resilient Operation of Multi-Microgrids: An MISOCP-Based Frequency-Constrained Approach

  • Amin Gholami
  • Xu Andy Sun
    • Categories Applications - Science and Engineering, Control Applications, Energy Tags , , , , ,

    High penetration of distributed energy resources (DERs) is transforming the paradigm in power system operation. The ability to provide electricity to customers while the main grid is disrupted has introduced the concept of microgrids with many challenges and opportunities. Emergency control of dangerous transients caused by the transition between the grid-connected and island modes in … Read more

    Clustering methods to find representative periods for the optimization of energy systems: an initial framework and comparison

  • Adam R. Brandt
  • Holger Teichgraeber
    • Categories Applications - Science and Engineering, Chemical Engineering, Energy Tags , , , , ,

    Modeling time-varying operations in complex energy systems optimization problems is often computationally intractable, and time-series input data are thus often aggregated to representative periods. In this work, we introduce a framework for using clustering methods for this purpose, and we compare both conventionally-used methods (k-means, k-medoids, and hierarchical clustering), and shape-based clustering methods (dynamic time … Read more

    Leveraging Predictive Analytics to Control and Coordinate Operations, Asset Loading and Maintenance

  • Nagi Gebraeel
  • Xu Andy Sun
  • Murat Yildirim
    • Categories Applications - OR and Management Sciences, Energy, Scheduling Tags , , , ,

    This paper aims to advance decision-making in power systems by proposing an integrated framework that combines sensor data analytics and optimization. Our modeling framework consists of two components: (1) a predictive analytics methodology that uses real-time sensor data to predict future degradation and remaining lifetime of generators as a function of the loading conditions, and … Read more

    Multistage Stochastic Demand-side Management for Price-Making Major Consumers of Electricity in a Co-optimized Energy and Reserve Market

  • Anthony Downward
  • Mahbubeh Habibian
  • Golbon Zakeri
    • Categories (Mixed) Integer Linear Programming, Applications - OR and Management Sciences, Energy Tags , ,

    In this paper we take an optimization-driven heuristic approach, motivated by dynamic programming, to solve a multistage stochastic optimization of energy consumption for a large manufacturer who is a price-making major consumer of electricity. We introduce a mixed-integer program that co-optimizes consumption bids and interruptible load reserve offers, for such a major consumer over a … Read more

    A Fully Distributed Dual Consensus ADMM Based on Partition for DC-OPF with Carbon Emission Trading

  • Zhaoyang Dong
  • Jiangyao Luo
  • Yan Xu
  • Linfeng Yang
  • Zhenrong Zhang
    • Categories Applications - Science and Engineering, Energy Tags , , , ,

    This paper presents a novel fully distributed alternating direction method of multipliers (ADMM) approach for solving the direct current optimal power flow with carbon emission trading (DC-OPF-CET) problem. Different from the other ADMM-based distributed approaches which disclosing boundary buses and branches information among adjacent subsystems, our proposed method adopts a new strategy by using ADMM … Read more