Results 11 to 20 of about 844 (191)

Optimal generation scheduling in microgrids using mixed-integer second-order cone programming [PDF]

open access: yesEngineering Optimization, 2020
In this article, a new model is proposed for the operation of microgrids (MGs) using optimal distribution feeder reconfiguration (DFR) and optimal generation scheduling (OGS). The distributed generation units, electric vehicles and demand response (DR) are modelled in the presented model. The DR programs consider load shifting, load curtailing and time-
Gholamreza Shaghaghi-Shahr   +3 more
openaire   +2 more sources

A Mixed-Integer Convex Model for the Optimal Placement and Sizing of Distributed Generators in Power Distribution Networks [PDF]

open access: yesApplied Sciences, 2021
The optimal placement and sizing of distributed generators is a classical problem in power distribution networks that is usually solved using heuristic algorithms due to its high complexity.
Walter Gil-González   +3 more
doaj   +3 more sources

An Enhanced Second-Order Cone Programming-Based Evaluation Method on Maximum Hosting Capacity of Solar Energy in Distribution Systems with Integrated Energy [PDF]

open access: yesEnergies, 2022
In order to adjust to the change of the large-scale deployment of photovoltaic (PV) power generation and fully exploit the potentialities of an integrated energy distribution system (IEDS) in solar energy accommodation, an evaluation method on maximum ...
Chunyi Wang   +7 more
doaj   +2 more sources

Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response

open access: yesApplied Sciences, 2021
This work presents a new coordinated operation (CO) framework for electricity and natural gas networks, considering network congestions and demand response.
Chun Sing Lai   +4 more
doaj   +1 more source

A unified approach to mixed-integer optimization with logical constraints [PDF]

open access: yes, 2021
We propose a united framework to address a family of classical mixed-component analysis, and sparse learning problems. These problems exhibit logical relationships between continuous and discrete variables, which are usually reformulated linearly using a
Bertsimas, Dimitris   +5 more
core   +1 more source

Day-Ahead Optimal Dispatch for Active Distribution Network Considering Action Cost of Devices

open access: yesZhongguo dianli, 2023
In order to reduce the cost of active distribution network day-ahead optimization scheduling, a method of active distribution network day-ahead optimization scheduling considering equipment adjustment cost is proposed.
Yuanyuan YUE   +5 more
doaj   +1 more source

Optimal Configuration of Soft Open Point for Active Distribution Network Based on Mixed-integer Second-order Cone Programming [PDF]

open access: yesEnergy Procedia, 2016
Abstract Soft Open Point (SOP) refers to a power electronic device installed in placeof a normally-open pointin a distribution network. The application of SOP will greatly promote the economy, flexibility and controllability of the distribution network.
Wang, Chengshan   +5 more
openaire   +1 more source

Dynamic Coordinated Active–Reactive Power Optimization for Active Distribution Network with Energy Storage Systems

open access: yesApplied Sciences, 2019
This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously.
Lingling Wang   +4 more
doaj   +1 more source

Spatial–temporal optimal dispatch of mobile energy storage for emergency power supply

open access: yesEnergy Reports, 2022
Mobile energy storage (MES) is a typical flexible resource, which can be used to provide an emergency power supply for the distribution system.
Shiqian Ma   +5 more
doaj   +1 more source

Mixed-integer second-order cone programming for lower hedging of American contingent claims in incomplete markets [PDF]

open access: yes, 2013
We describe a challenging class of large mixed-integer second-order cone programming models which arise in computing the maximum price that a buyer is willing to disburse to acquire an American contingent claim in an incomplete financial market with no ...
Pınar, M. Ç., Pinar, Mustafa C.
core   +1 more source

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