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Journal ArticleDOI

Coordinated expansion planning problem considering wind farms, energy storage systems and demand response

TLDR
In this article, a flexible coordinated power system expansion planning (CPSEP) framework is proposed to minimize the summation of the expansion planning, operation and reliability costs while taking the network model based on AC optimal power flow constraints, and the reliability and flexibility considerations into account.
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This article is published in Energy.The article was published on 2022-01-15. It has received 26 citations till now. The article focuses on the topics: Demand response & Unavailability.

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Citations
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Stationary and mobile storages-based renewable off-grid system planning considering storage degradation cost based on information-gap decision theory optimization

TL;DR: In this article , the authors presented the planning of a hybrid renewable system with wind turbines and bio-waste energy units along with stationary (i.e., batteries) and mobile energy storage.
Journal ArticleDOI

Comparison of temporal resolution selection approaches in energy systems models

TL;DR: In this article , different approaches for selecting time segments across three methods: sequential, categorical, and clustering, across a wide range of time-segment quantities, for a total of 204 temporal profiles.
Journal ArticleDOI

Sizing capacities of renewable generation, transmission, and energy storage for low-carbon power systems: A distributionally robust optimization approach

TL;DR: In this article , the authors considered the capacity sizing problem during the transition to a low-carbon power system: the retirement plan of conventional fossil-fuel generators and the growth of demands are given.
Journal ArticleDOI

Presenting a Stochastic Model of Simultaneous Planning Problem of Distribution and Subtransmission Network Development considering the Reliability and Security Indicators

TL;DR: In this article , a stochastic problem model of simultaneous planning of distribution and super distribution network development considering the reliability and security indicators is presented, in which the problem is in the form of an optimization problem whose objective function is to minimize the costs of construction, replacement, operation, maintenance, reliability, and security.
Journal ArticleDOI

Smart distribution network operation based on energy management system considering economic-technical goals of network operator

TL;DR: In this article , an economic flexible-securable operation (EFSO) in smart distribution networks (SDNs), including distributed generation and storage systems to produce green energy is presented.
References
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Journal ArticleDOI

Comprehensive review of generation and transmission expansion planning

TL;DR: In this paper, a comprehensive review of GEP and TEP problems from different aspects and views such as modelling, solving methods, reliability, distributed generation, electricity market, uncertainties, line congestion, reactive power planning, demand-side management and so on.
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A Privacy-Preserving Scheme for Incentive-Based Demand Response in the Smart Grid

TL;DR: This paper proposes a privacy-preserving scheme for IDR programs in the smart grid, which enables the DR provider to compute individual demand curtailments and DR rewards while preserving customer privacy.
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Reliable Renewable Generation and Transmission Expansion Planning: Co-Optimizing System's Resources for Meeting Renewable Targets

TL;DR: In this paper, a two-stage min-max-min model for co-optimizing the expansion of the transmission system and renewable generation capacity to meet renewable targets under high security standards and renewable uncertainty is presented.
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Generation and Transmission Expansion Planning: MILP–Based Probabilistic Model

TL;DR: In this paper, a probabilistic model for generation and transmission expansion planning (G&TEP) problem considering reliability criteria is described, which considers the installation and operation costs as well as the cost of expected energy not supplied (EENS) to optimally determine the number and location of new generating units and circuits in the network.
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