A strategy for transmission network expansion planning considering multiple generation scenarios

Freitas, Patrícia F. S.; Macedo, Leonardo H.

doi:10.1016/j.epsr.2019.02.018

Cited by 48 publications

(22 citation statements)

References 30 publications

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“…Transmission network expansion planning (TNEP) is a process to determine an optimal strategy for where, when, and how many transmission facilities are needed to extend the current power system transmission network. TNEP seeks to fulfill the demand of future load growth and extra generators while retaining the power system's reliability and safety performance [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

et al. 2021

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This paper introduces a multi-stage dynamic transmission network expansion planning (MSDTNEP) model considering the N-1 reliability constraint. The integrated planning problem of N-1 security and transmission expansion planning is essential because a single line outage could be a triggering event to rolling blackouts. Two suggested scenarios were developed to obtain the optimal configuration of the Egyptian West Delta Network’s realistic transmission (WDN) to meet the demand of the potential load growth and ensure the system reliability up to the year 2040. The size of a blackout, based on the amount of expected energy not supplied, was calculated to evaluate both scenarios. The load forecasting (up to 2040) was obtained based on an adaptive neuro-fuzzy inference system because it gives excellent results compared to conventional methods. The linear population size reduction—Success-History-based Differential Evolution with semi-parameter adaptation (LSHADE-SPA) hybrid—covariance matrix adaptation evolution strategy (CMA-ES) algorithm (LSHADE-SPACMA)—is proposed to solve the problem. The semi-adaptive nature of LSHADE-SPACMA and the hybridization between LSHADE and CMA-ES are able to solve complex optimization problems. The performance of LSHADE-SPACMA in solving the problem is compared to other well-established methods using three testing systems to validate its superiority. Then, the MSDTNEP of the Egyptian West Delta Network is presented, and the numerical results of the two scenarios are compared to obtain an economic plan and avoid a partial or total blackout.

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Section: Introductionmentioning

confidence: 99%

Multi-Stage Dynamic Transmission Network Expansion Planning Using LSHADE-SPACMA

et al. 2021

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“…Simplified classical models often used by researchers to solve network planning problem as shown in Fig. 1, are the DC model, transportation model, hybrid model, disjunctive model and the alternating current (AC) model [17], [34]- [37].…”

Section: A Choice Of Modeling Techniques In Tnepmentioning

confidence: 99%

A Comprehensive State-of-the-Art Survey on the Transmission Network Expansion Planning Optimization Algorithms

2019

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Long term planning in power transmission network expansion provides a well ordered and profitable extension of power equipment and facilities to meet the expected electric energy demand with an allowable degree of reliability. However, high quality and improved reliability in energy supply have to be balanced with the available funds. The need to expand transmission network can never be over emphasized. Transmission Network Expansion Planning (TNEP) is a periodical measure that must be carried out due to dynamic societies that attract extra energy demands. It is highly important to minimize the network reinforcement and operational costs while satisfying the increase in demand imposed by technical and economic conditions over the planning horizon. Several optimization algorithms for TNEP problems have been developed and applied over the past decades. This paper presents a comprehensive state-of-the-art survey on the TNEP optimization algorithms. The approach of this paper is in the area of highlights of the various available TNEP algorithms, their applications, viability, computational complexities and drawbacks, which can aid in the identifications of the proper methods that can yield an optimal solution to TNEP problem. INDEX TERMS Algorithm, hybrid, meta-heuristics, optimization techniques, power network expansion planning, power system, transmission network expansion.

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“…Several papers in the literature have presented new proposals for TEP problems, which seek to consider as much as possible the aspects related to the uncertainties and constraints inherent to the problem 1‐27 . Optimization techniques based on classical mathematical approaches (eg, linear/nonlinear programming, mixed integer programming, etc.)…”

Section: Introductionmentioning

confidence: 99%