no code implementations • 11 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.
no code implementations • 9 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.
no code implementations • 27 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.
no code implementations • 21 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.
no code implementations • 27 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.
no code implementations • 22 Nov 2023 • Shreshtha Dhankar, Cong Chen, Lang Tong
We consider the problem of hydrogen storage integration in microgrids to improve the electricity supply resilience.
no code implementations • 21 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.
no code implementations • 11 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.
no code implementations • 5 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).
no code implementations • 5 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.
no code implementations • 21 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.
no code implementations • 5 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.
no code implementations • 8 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.
no code implementations • 6 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.
no code implementations • 29 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.
no code implementations • 20 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.
no code implementations • 17 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.
no code implementations • 24 Oct 2022 • Xinyi Wang, Mei-jen Lee, Qing Zhao, Lang Tong
We consider novelty detection in time series with unknown and nonparametric probability structures.
no code implementations • 8 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.
no code implementations • 5 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.
no code implementations • 21 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.
no code implementations • 1 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.
1 code implementation • 19 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.
no code implementations • 18 Apr 2022 • Cong Chen, Lang Tong
Pricing storage operation in the real-time market under demand and generation stochasticities is considered.
no code implementations • 12 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.
no code implementations • 12 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.
no code implementations • 24 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.
no code implementations • 21 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.
no code implementations • 16 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.
no code implementations • 23 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.
1 code implementation • 15 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.
no code implementations • 25 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.
no code implementations • 12 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.
no code implementations • 9 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.
no code implementations • 9 Nov 2020 • Behrouz Azimian, Reetam Sen Biswas, Anamitra Pal, Lang Tong
Time-synchronized state estimation is a challenge for distribution systems because of limited real-time observability.
no code implementations • 10 Sep 2020 • Yongzhi Zhang, Xiaobo Qu, Lang Tong
In this real time control model, a novel state-space model is first developed to capture vehicle speed, acceleration, and state of charge.
no code implementations • 23 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.
no code implementations • 23 Jan 2020 • Kursat Rasim Mestav, Lang Tong
The problem of detecting data anomaly is considered.
no code implementations • 13 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.
no code implementations • 7 Nov 2018 • Kursat Rasim Mestav, Jaime Luengo-Rozas, Lang Tong
The problem of state estimation for unobservable distribution systems is considered.
no code implementations • 8 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.
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.
no code implementations • 25 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.