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Journal ArticleDOI

Virtual power plant mid-term dispatch optimization

Hrvoje Pandžić, +2 more
- 01 Jan 2013 - 
- Vol. 101, pp 134-141
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TLDR
In this article, the authors considered a weekly self-scheduling of a virtual power plant composed of intermittent renewable sources, storage system and a conventional power plant, and formulated the optimal dispatch problem as a mixed-integer linear programming model which maximizes the weekly virtual power plants profit subject to the long-term bilateral contracts and technical constraints.
About
This article is published in Applied Energy.The article was published on 2013-01-01. It has received 208 citations till now. The article focuses on the topics: Virtual power plant & Base load power plant.

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Citations
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Journal ArticleDOI

A comprehensive review on microgrid and virtual power plant concepts employed for distributed energy resources scheduling in power systems

TL;DR: In this paper, the scheduling problem of DERs is studied from various aspects such as modeling techniques, solving methods, reliability, emission, uncertainty, stability, demand response (DR), and multi-objective standpoint in the microgrid and VPP frameworks.
Journal ArticleDOI

Offering model for a virtual power plant based on stochastic programming

TL;DR: In this article, the authors considered a virtual power plant consisting of an intermittent source, a storage facility, and a dispatchable power plant, and casted the offering problem as a two-stage stochastic mixed-integer linear programming model.
Journal ArticleDOI

Near-Optimal Method for Siting and Sizing of Distributed Storage in a Transmission Network

TL;DR: In this paper, a three-stage planning procedure is described to identify the optimal locations and parameters of distributed storage units, and the optimal operation of the storage units is simulated to quantify the benefits that they would provide by reducing congestion.
Journal ArticleDOI

Optimal Offering Strategy of a Virtual Power Plant: A Stochastic Bi-Level Approach

TL;DR: This paper addresses the optimal bidding strategy problem of a commercial virtual power plant (CVPP), which comprises of distributed energy resources (DERs), battery storage systems (BSS), and electricity consumers, and participates in the day-ahead electricity market.
Journal ArticleDOI

A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response

TL;DR: In this paper, a robust optimization theory (ROT) is introduced to build a stochastic scheduling model for virtual power plant (VPP) operation considering the uncertainty, price-based demand response (PBDR) and incentive-based Demand Response (IBDR).
References
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BookDOI

Introduction to Stochastic Programming

TL;DR: This textbook provides a first course in stochastic programming suitable for students with a basic knowledge of linear programming, elementary analysis, and probability to help students develop an intuition on how to model uncertainty into mathematical problems.
Book

Decision Making Under Uncertainty in Electricity Markets

TL;DR: In this paper, the authors consider stochastic programming models for decision-making under uncertainty in the context of electricity markets and provide a brief overview of modeling and solution techniques within a mathematical programming framework.
Journal ArticleDOI

Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market

TL;DR: In this article, the authors investigated the combined optimization of a wind farm and a pumped-storage facility from the point of view of a generation company in a market environment, and formulated the optimization model as a two-stage stochastic programming problem with two random parameters: market prices and wind generation.
Posted Content

Decision Making Under Uncertainty in Electricity Markets

TL;DR: In this paper, the authors consider stochastic programming models for decision-making under uncertainty in the context of electricity markets and provide a brief overview of modeling and solution techniques within a mathematical programming framework.
Journal ArticleDOI

Short-Term Trading for a Wind Power Producer

TL;DR: A technique to derive the best offering strategy for a wind power producer in an electricity market that includes various trading floors is presented, which translates into a linear programming problem of moderate size which is readily solvable using commercially available software.
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