Search Results for author: Wenchuan Wu

Found 8 papers, 0 papers with code

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.

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.

Bi-level Off-policy Reinforcement Learning for Volt/VAR Control Involving Continuous and Discrete Devices

no code implementations13 Apr 2021 Haotian Liu, Wenchuan Wu

Such VCC is formulated as a two-timescale optimization problem to jointly optimize FTCDs and STDDs in ADNs.

Data-driven Model Predictive Control Method for DFIG-based Wind Farm to Provide Primary Frequency Regulation Service

no code implementations7 Dec 2020 Zizhen Guo, Wenchuan Wu

As wind power penetration increases, the wind farms are required by newly released grid codes to provide frequency regulation service.

Dimensionality Reduction

Data-driven Inverter-based Volt/VAr Control for Partially Observable Distribution Networks

no code implementations31 Jul 2020 Tong Xu, Wenchuan Wu, Yiwen Hong, Junjie Yu, Fazhong Zhang

To provide a practical Volt/Var control (VVC) strategy for such networks, a data-driven VVC method is proposed in this paper.

Online Multi-agent Reinforcement Learning for Decentralized Inverter-based Volt-VAR Control

no code implementations23 Jun 2020 Haotian Liu, Wenchuan Wu

In this paper, we propose an online multi-agent reinforcement learning and decentralized control framework (OLDC) for VVC.

Multi-agent Reinforcement Learning

Two-stage Deep Reinforcement Learning for Inverter-based Volt-VAR Control in Active Distribution Networks

no code implementations20 May 2020 Haotian Liu, Wenchuan Wu

In the sequential online stage, we transfer the offline agent safely as the online agent to perform continuous learning and controlling online with significantly improved safety and efficiency.

Human-like machine thinking: Language guided imagination

no code implementations18 May 2019 Feng Qi, Wenchuan Wu

Human thinking requires the brain to understand the meaning of language expression and to properly organize the thoughts flow using the language.

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