Search Results for author: Lang Tong

Found 43 papers, 2 papers with code

Grid Monitoring and Protection with Continuous Point-on-Wave Measurements and Generative AI

no code implementations11 Mar 2024 Lang Tong, Xinyi Wang, Qing Zhao

Purpose This article presents a case for a next-generation grid monitoring and control system, leveraging recent advances in generative artificial intelligence (AI), machine learning, and statistical inference.

Data Compression Fault Detection

Generative Probabilistic Forecasting with Applications in Market Operations

no code implementations9 Mar 2024 Xinyi Wang, Lang Tong

Under the paradigm of generative artificial intelligence, the proposed forecasting architecture includes an autoencoder that transforms nonparametric multivariate random processes into canonical innovation sequences, from which future time series samples are generated according to their probability distributions conditioned on past samples.

Time Series

A Decentralized Market Mechanism for Energy Communities under Operating Envelopes

no code implementations27 Feb 2024 Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

We propose an operating envelopes (OEs) aware energy community market mechanism that dynamically charges/rewards its members based on two-part pricing.

Generative Probabilistic Time Series Forecasting and Applications in Grid Operations

no code implementations21 Feb 2024 Xinyi Wang, Lang Tong, Qing Zhao

Generative probabilistic forecasting produces future time series samples according to the conditional probability distribution given past time series observations.

Decision Making Probabilistic Time Series Forecasting +1

Multi-Interval Energy-Reserve Co-Optimization with SoC-Dependent Bids from Battery Storage

no code implementations27 Jan 2024 Cong Chen, Siying Li, Lang Tong

We consider the problem of co-optimized energy-reserve market clearing with state-of-charge (SoC) dependent bids from battery storage participants.

Enhancing Microgrid Resilience with Green Hydrogen Storage

no code implementations22 Nov 2023 Shreshtha Dhankar, Cong Chen, Lang Tong

We consider the problem of hydrogen storage integration in microgrids to improve the electricity supply resilience.

Model Predictive Control Scheduling

Convexifying Regulation Market Clearing of State-of-Charge Dependent Bid

no code implementations21 Nov 2023 Siying Li, Cong Chen, Lang Tong

We show that the complex nonconvex market clearing problem can be convexified by a simple restriction on the SoC-dependent bid, rendering the intractable market clearing computation to standard linear programs.

Bilevel Optimization

Operating-Envelopes-Aware Decentralized Welfare Maximization for Energy Communities

no code implementations11 Oct 2023 Ahmed S. Alahmed, Guido Cavraro, Andrey Bernstein, Lang Tong

We propose an operating-envelope-aware, prosumer-centric, and efficient energy community that aggregates individual and shared community distributed energy resources and transacts with a regulated distribution system operator (DSO) under a generalized net energy metering tariff design.

Wholesale Market Participation of DERA: DSO-DERA-ISO Coordination

no code implementations5 Jul 2023 Cong Chen, Subhonmesh Bose, Timothy D. Mount, Lang Tong

Distributed energy resource aggregators (DERAs) must share the distribution network together with the distribution utility in order to participate in the wholesale electricity markets that are operated by independent system operators (ISOs).

Wholesale Market Participation of DERA: Competitive DER Aggregation

no code implementations5 Jul 2023 Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong

We consider the aggregation of distributed energy resources (DERs) by a profit-seeking DER aggregator (DERA), participating directly in the wholesale electricity market.

Dynamic Net Metering for Energy Communities

no code implementations21 Jun 2023 Ahmed S. Alahmed, Lang Tong

We propose a social welfare maximizing market mechanism for an energy community that aggregates individual and community-shared energy resources under a general net energy metering (NEM) policy.

Non-parametric Probabilistic Time Series Forecasting via Innovations Representation

no code implementations5 Jun 2023 Xinyi Wang, Meijen Lee, Qing Zhao, Lang Tong

Probabilistic time series forecasting predicts the conditional probability distributions of the time series at a future time given past realizations.

Decision Making Probabilistic Time Series Forecasting +1

On the Optimality of Procrastination Policy for EV charging under Net Energy Metering

no code implementations8 Apr 2023 Minjae Jeon, Lang Tong, Qing Zhao

When battery storage is part of the co-optimization, it is shown that the net consumption of the prosumer is a two-threshold piecewise linear function of the behind-the-meter renewable generation under the optimal policy, and the procrastination threshold policy remains optimal, although the thresholds cannot be computed easily.

Co-optimizing Behind-The-Meter Resources under Net Metering

no code implementations6 Dec 2022 Ahmed S. Alahmed, Lang Tong

We consider the problem of co-optimizing behind-the-meter (BTM) storage and flexible demands with BTM stochastic renewable generation.

DSO-DERA Coordination for the Wholesale Market Participation of Distributed Energy Resources

no code implementations29 Nov 2022 Cong Chen, Subhonmesh Bose, Lang Tong

We design a coordination mechanism between a distribution system operator (DSO) and distributed energy resource aggregators (DERAs) participating directly in the wholesale electricity market.

Co-optimizing Consumption and EV Charging under Net Energy Metering

no code implementations20 Nov 2022 Minjae Jeon, Lang Tong, Qing Zhao

We consider the co-optimization of flexible household consumption, electric vehicle charging, and behind-the-meter distributed energy resources under the net energy metering tariff.

Achieving Social Optimality for Energy Communities via Dynamic NEM Pricing

no code implementations17 Nov 2022 Ahmed S. Alahmed, Lang Tong

We further show that Dynamic NEM aligns the individual member's incentive with that of the overall community; each member optimizing individual surplus under Dynamic NEM results in maximum community's social welfare.

Wholesale Market Participation of Storage with State-of-Charge Dependent Bids

no code implementations8 Oct 2022 Cong Chen, Lang Tong

Wholesale market participation of storage with state-of-charge (SoC) dependent bids results in a non-convex cost in a multi-interval economic dispatch, which requires a mixed-integer linear program in the market clearing.

Convexifying Market Clearing of SoC-Dependent Bids from Merchant Storage Participants

no code implementations5 Sep 2022 Cong Chen, Lang Tong

State-of-charge (SoC) dependent bidding allows merchant storage participants to incorporate SoC-dependent operation and opportunity costs in a bid-based market clearing process.

Co-Optimizing Distributed Energy Resources in Linear Complexity under Net Energy Metering

no code implementations21 Aug 2022 Ahmed S. Alahmed, Lang Tong, Qing Zhao

The co-optimization of behind-the-meter distributed energy resources is considered for prosumers under the net energy metering tariff.

energy management Management +1

Competitive DER Aggregation for Participation in Wholesale Markets

no code implementations1 Jul 2022 Cong Chen, Ahmed S. Alahmed, Timothy D. Mount, Lang Tong

Also obtained are DERA's bid and offer curves for its participation in the wholesale energy market and the optimal schedule of behind-the-meter resources.

Conditional Value at Risk-Sensitive Solar Hosting Capacity Analysis in Distribution Networks

1 code implementation19 Apr 2022 Avinash N. Madavan, Nathan Dahlin, Subhonmesh Bose, Lang Tong

Solar hosting capacity analysis (HCA) assesses the ability of a distribution network to host distributed solar generation without seriously violating distribution network constraints.

Pricing Real-time Stochastic Storage Operations

no code implementations18 Apr 2022 Cong Chen, Lang Tong

Pricing storage operation in the real-time market under demand and generation stochasticities is considered.

Integrating Distributed Energy Resources: Optimal Prosumer Decisions and Impacts of Net Metering Tariffs

no code implementations12 Apr 2022 Ahmed S. Alahmed, Lang Tong

The rapid growth of the behind-the-meter (BTM) distributed generation has led to initiatives to reform the net energy metering (NEM) policies to address pressing concerns of rising electricity bills, fairness of cost allocation, and the long-term growth of distributed energy resources.

energy management Fairness +1

As Easy as ABC: Adaptive Binning Coincidence Test for Uniformity Testing

no code implementations12 Oct 2021 Sudeep Salgia, Qing Zhao, Lang Tong

The alternative hypothesis is a composite set of Lipschitz continuous distributions that are at least $\varepsilon$ away in $\ell_1$ distance from the uniform distribution.

A Scenario-oriented Approach to Multi-period Energy-Reserve Joint Procurement and Pricing

no code implementations24 Sep 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

In [1], a single-period co-optimization model of energy and reserve is considered to better illustrate the properties of the co-optimization model and the associated market mechanism.

On Net Energy Metering X: Optimal Prosumer Decisions, Social Welfare, and Cross-Subsidies

no code implementations21 Sep 2021 Ahmed S. Alahmed, Lang Tong

We introduce NEM X, an inclusive retail tariff model that captures features of existing net energy metering (NEM) policies.

A Scenario-oriented Approach to Energy-Reserve Joint Procurement and Pricing

no code implementations16 Jul 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

We consider some crucial problems related to the secure and reliable operation of power systems with high renewable penetrations: how much reserve should we procure, how should reserve resources distribute among different locations, and how should we price reserve and charge uncertainty sources.

Innovations Autoencoder and its Application in One-class Anomalous Sequence Detection

no code implementations23 Jun 2021 Xinyi Wang, Lang Tong

An innovations sequence of a time series is a sequence of independent and identically distributed random variables with which the original time series has a causal representation.

Anomaly Detection Gaussian Processes +2

State and Topology Estimation for Unobservable Distribution Systems using Deep Neural Networks

1 code implementation15 Apr 2021 Behrouz Azimian, Reetam Sen Biswas, Shiva Moshtagh, Anamitra Pal, Lang Tong, Gautam Dasarathy

Time-synchronized state estimation for reconfigurable distribution networks is challenging because of limited real-time observability.

Pricing Energy Storage in Real-time Market

no code implementations25 Jan 2021 Cong Chen, Lang Tong, Ye Guo

It is also shown that such settlements give rise to disincentives for generating firms and storage participants to bid truthfully, even when these market participants are rational price-takers in a competitive market.

Non-Bayesian Parametric Missing-Mass Estimation

no code implementations12 Jan 2021 Shir Cohen, Tirza Routtenberg, Lang Tong

Finally, we demonstrate via numerical simulations that the proposed mmCCRB is a valid and informative lower bound on the mmMSE of state-of-the-art estimators for this problem: the CML, the Good-Turing, and Laplace estimators.

A Deep Learning Approach to Anomaly Sequence Detection for High-Resolution Monitoring of Power Systems

no code implementations9 Dec 2020 Kursat Rasim Mestav, Xinyi Wang, Lang Tong

A deep learning approach is proposed to detect data and system anomalies using high-resolution continuous point-on-wave (CPOW) or phasor measurements.

Anomaly Detection Generative Adversarial Network

Adaptive Subband Compression for Streaming of Continuous Point-on-Wave and PMU Data

no code implementations23 Aug 2020 Xinyi Wang, Yilu Liu, Lang Tong

A data compression system capable of providing real-time streaming of high-resolution continuous point-on-wave (CPOW) and phasor measurement unit (PMU) measurements is proposed.

Data Compression

Pricing Multi-Interval Dispatch under Uncertainty Part I: Dispatch-Following Incentives

no code implementations13 Nov 2019 Ye Guo, Cong Chen, Lang Tong

Part I investigates dispatch-following incentives of profit-maximizing generators and shows that, under mild conditions, no uniform-pricing scheme for the rolling-window economic dispatch provides dispatch-following incentives that avoid discriminative out-of-the-market uplifts.

Algorithmic Bidding for Virtual Trading in Electricity Markets

no code implementations8 Feb 2018 Sevi Baltaoglu, Lang Tong, Qing Zhao

It is shown that the proposed algorithm converges, with an almost optimal convergence rate, to the global optimal corresponding to the case when the underlying price distribution is known.

Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions

no code implementations NeurIPS 2017 Sevi Baltaoglu, Lang Tong, Qing Zhao

By showing that the regret is lower bounded by $\Omega(\sqrt{T})$ for any strategy, we conclude that DPDS is order optimal up to a $\sqrt{\log{T}}$ term.

Probabilistic Forecasting and Simulation of Electricity Markets via Online Dictionary Learning

no code implementations25 Jun 2016 Weisi Deng, Yuting Ji, Lang Tong

The problem of probabilistic forecasting and online simulation of real-time electricity market with stochastic generation and demand is considered.

Dictionary Learning

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