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This paper presents a time decomposition strategy to reduce the computational complexity of power system multi-interval operation problems. We focus on the economic dispatch problem. The considered scheduling horizon is decomposed into…

信号处理 · 电气工程与系统科学 2019-02-18 Farnaz Safdarian , Okan Ciftci , Amin Kargarian

In this paper, we investigate the problem of coordination between economic dispatch (ED) and demand response (DR) in multi-energy systems (MESs), aiming to improve the economic utility and reduce the waste of energy in MESs. Since multiple…

系统与控制 · 电气工程与系统科学 2021-04-20 Zishun Liu , Shanying Zhu , Jinming Xu , Cailian Chen

The integration of distributed energy resources (DERs) into wholesale electricity markets, as mandated by FERC Order 2222, imposes new challenges on system operations. To remain consistent with existing market structures, regional…

系统与控制 · 电气工程与系统科学 2026-04-13 Zhentong Shao , Jingtao Qin , Xianbang Chen , Nanpeng Yu

With the proliferation of distributed energy resources and the volume of data stored due to advancement in metering infrastructure, energy management in power system operation needs distributed computing. In this paper, we propose a fully…

系统与控制 · 电气工程与系统科学 2020-05-21 Shailesh Wasti , Pablo Ubiratan , Shahab Afshar , Vahid Disfani

This research presents a novel approach to solving the economic load dispatch (ELD) problem in smart grid systems by leveraging a multi-agent distributed consensus strategy. The core idea revolves around achieving agreement among generators…

系统与控制 · 电气工程与系统科学 2026-03-17 Arnab Pal , Suman Singha Roy , Asim Kumar Naskar

This paper studies two fundamental problems in power systems: the economic dispatch problem (EDP) and load shedding. For the EDP, an extension of the problem considering the transmission losses is presented. Because the optimization problem…

系统与控制 · 电气工程与系统科学 2021-08-31 Ismi Rosyiana Fitri , Jung-Su Kim

Extreme Edge Computing (EEC) pushes computing even closer to end users than traditional Multi-access Edge Computing (MEC), harnessing the idle resources of Extreme Edge Devices (EEDs) to enable low-latency, distributed processing. However,…

This paper considers the dynamic economic dispatch problem for a group of distributed energy resources (DERs) with storage that communicate over a weight-balanced strongly connected digraph. The objective is to collectively meet a certain…

最优化与控制 · 数学 2016-05-04 Ashish Cherukuri , Jorge Cortes

In this paper, we consider the problem of optimally coordinating the response of a group of distributed energy resources (DERs) so they collectively meet the electric power demanded by a collection of loads, while minimizing the total…

系统与控制 · 电气工程与系统科学 2020-05-05 Madi Zholbaryssov , Christoforos N. Hadjicostis , Alejandro D. Dominguez-Garcia

Proliferation of grid resources on the distribution network along with the inability to forecast them accurately will render the existing methodology of grid operation and control untenable in the future. Instead, a more distributed yet…

信号处理 · 电气工程与系统科学 2021-09-21 Amritanshu Pandey , Shimiao Li , Larry Pileggi

The centralized power generation infrastructure that defines the North American electric grid is slowly moving to the distributed architecture due to the explosion in use of renewable generation and distributed energy resources (DERs), such…

最优化与控制 · 数学 2022-04-27 Mayank Baranwal , Kunal Garg , Dimitra Panagou , Alfred O. Hero

When large-scale uncertain centralized and distributed renewable energy sources are connected to a power system, separate dispatching of the transmission power system (TPS) and the active distribution network (ADN) will lower the network…

系统与控制 · 电气工程与系统科学 2023-05-22 Ye Tian , Zhengshuo Li

The economic dispatch problem is considered for unbalanced three-phase power distribution networks entailing both non-deferrable and elastic loads, and distributed generation (DG) units. The objective is to minimize the costs of power drawn…

最优化与控制 · 数学 2012-11-27 Emiliano Dall'Anese , Georgios B. Giannakis , Bruce F. Wollenberg

Economic dispatch problem for a networked power system has been considered. The objective is to minimize the total generation cost while meeting the overall supply-demand balance and generation capacity. In particular, a more practical…

系统与控制 · 计算机科学 2019-05-01 Seungjoon Lee , Hyungbo Shim

We investigate the distributed online economic dispatch problem for power systems with time-varying coupled inequality constraints. The problem is formulated as a distributed online optimization problem in a multi-agent system. At each time…

最优化与控制 · 数学 2025-12-25 Yingjie Zhou , Xiaoqian Wang , Tao Li

Consider $n$ agents connected over a network collaborating to minimize the average of their local cost functions combined with a common nonsmooth function. This paper introduces a unified algorithmic framework for solving such a problem…

最优化与控制 · 数学 2026-05-05 Kun Huang , Shi Pu , Angelia Nedić

This paper proposes a novel class of distributed continuous-time coordination algorithms to solve network optimization problems whose cost function is a sum of local cost functions associated to the individual agents. We establish the…

最优化与控制 · 数学 2014-08-25 Solmaz S. Kia , Jorge Cortes , Sonia Martinez

Aggregating distributed energy resources (DERs) is of great significance to improve the overall operational efficiency of smart grid. The aggregation model needs to consider various factors such as network constraints, operational…

系统与控制 · 电气工程与系统科学 2023-08-09 Yiran Wang , Haiwang Zhong , Guangchun Ruan

We consider the economic dispatch (ED) for an Energy Internet composed of energy routers (ERs), interconnected microgrids and main grid. The microgrid consists of several bus nodes associated with distributed generators (DGs) and…

系统与控制 · 计算机科学 2019-06-18 Wushun Chen , Tao Li

This paper studies a crucial problem in power system balancing control, i.e., the multi-time slot economic dispatch (MTSED) problem, for power grids with substantial renewables, synchronous generators (SGs), and energy storage devices…

系统与控制 · 电气工程与系统科学 2023-10-11 Luwei Yang , Tao Liu , David J. Hill
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