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Related Concept Videos

Load-frequency control01:28

Load-frequency control

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Load-frequency control (LFC) is vital for maintaining power system stability, ensuring that frequency and power flows remain within acceptable limits during load changes. Turbine-governor control eliminates rotor accelerations and decelerations following load changes. However, a steady-state frequency error persists when the change in the turbine-governor reference setting is zero. In an interconnected power system, each area agrees to export or import a scheduled amount of power through...
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Distributed Loads: Problem Solving01:21

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Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
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Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

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The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
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Distributed Loads01:19

Distributed Loads

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Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
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Secondary Distribution01:25

Secondary Distribution

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Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
In residential areas, 120/240 V single-phase, three-wire service is commonly used for lighting, outlets, and large appliances. Urban areas with high-density loads...
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The Anchoring-and-Adjustment Heuristic01:25

The Anchoring-and-Adjustment Heuristic

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Related Experiment Video

Updated: Feb 20, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

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Procuring load curtailment from local customers under uncertainty.

Aleksandar Mijatović1,2, John Moriarty3, Jure Vogrinc4

  • 1Department of Mathematics, King's College London, London, UK.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|October 21, 2017
PubMed
Summary
This summary is machine-generated.

Demand side response (DSR) offers flexible power grid management, crucial for uncertain futures. This study optimizes DSR procurement policies from diverse customers, ensuring network adequacy under uncertainty.

Keywords:
demand side responsestochastic optimizationuncertainty

Related Experiment Videos

Last Updated: Feb 20, 2026

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

1.1K

Area of Science:

  • Energy Systems Engineering
  • Operations Research
  • Power Systems Management

Background:

  • Demand side response (DSR) is vital for managing power network constraints, especially with uncertain future asset utilization.
  • Procurement processes for DSR from customers introduce significant uncertainty.
  • Optimizing DSR procurement is essential for grid flexibility and economic efficiency.

Purpose of the Study:

  • To develop economically optimal procurement policies for DSR from heterogeneous, localized customers.
  • To address uncertainty in DSR procurement using probabilistic modeling and chance constraints.
  • To ensure the adequacy of procured DSR for managing constrained power network assets.

Main Methods:

  • Combination of probabilistic modeling, simulation, and optimization techniques.
  • Development of a mathematical framework involving a search over permutations.
  • Illustrative example implementation and case study for practical validation.

Main Results:

  • Identification of economically optimal DSR procurement strategies under uncertainty.
  • Demonstration of the effectiveness of the proposed approach in a case study.
  • Quantification of the impact of chance constraints on DSR adequacy.

Conclusions:

  • The combined approach of probabilistic modeling, simulation, and optimization effectively determines optimal DSR procurement policies.
  • This methodology enhances power network asset management by providing flexibility under uncertain conditions.
  • The findings offer valuable insights for energy management, risk mitigation, and optimization in power systems.