Transmission network expansion planning considering renewable energy target

Chatthaworn, Rongrit; Chaitusaney, Surachai

doi:10.1109/ecticon.2014.6839797

Cited by 4 publications

(1 citation statement)

References 12 publications

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“…Several mathematical and meta-heuristic optimization methods have been applied to solve the TEP problem. These techniques include: bender’s decomposition (Jabr, 2013), linear programming, branch and bound (Ghaddar and Jabr, 2020), firefly algorithm (Balachennaiah et al , 2018), ant colony (Leite Da Silva et al , 2010), particle swarm optimization (Fathy et al , 2017), genetic algorithm (Moradi et al , 2016) and tabu search (Chatthaworn and Chaitusaney, 2014). In Ude et al (2019), a survey on the TEP optimization algorithm was presented.…”

Section: Introductionmentioning

confidence: 99%

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

Gbadamosi

Nwulu

2020

JEDT

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Purpose The purpose of this study is to address the efficiency of power losses representation while still reducing the computational burden of an optimal power flow (OPF) model in transmission expansion planning (TEP) studies. Design/methodology/approach A modified TEP model is formulated with inclusions of linearized approximation of power losses for a large-scale power system with renewable energy sources. The multi-objectives function determines the effect of transmission line losses on the optimal power generation dispatch in the power system with and without inclusion of renewable energy sources with emphasis on minimizing the investment and operation costs, emission and the power losses. Findings This study investigates the impact of renewable energy sources on system operating characteristics such as transmission power losses and voltage profile. Sensitivity analysis of the performance for the developed deterministic quadratic programming models was analyzed based on optimal generated power and losses on the system. Research limitations/implications In the future, a comparison of the alternating current OPF and direct current (DC) OPF models based on the proposed mathematical formulations can be carried out to determine the efficiency and reduction of computation process of the two models. Practical implications This paper proposed an accurate way of computing transmission losses in DC OPF for a TEP context with a view of achieving a minimal computation time. Originality/value This paper addresses the following objectives: develop a modified DC OPF with a linearized approximation of power losses in TEP problem with large integration of RES. Investigate the impact of RES on system operating characteristics such as transmission power losses and voltage profile.

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Section: Introductionmentioning

confidence: 99%

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

Gbadamosi

Nwulu

2020

JEDT

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Power quality measurements and analysis for a Romanian WPP

Sava

Costinaş

Porumb

et al. 2015

2015 IEEE Eindhoven PowerTech

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Optimal Transmission Expansion Planning with Long-Term Solar Photovoltaic Generation Forecast

et al. 2023

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Solar PhotoVoltaics (PV) integration into the electricity grids significantly increases the complexity of Transmission Expansion Planning (TEP) because solar PV power generation is uncertain and difficult to predict. Therefore, this paper proposes the optimal planning method for transmission expansion combined with uncertain solar PV generation. The problem of uncertain solar PV generation is solved by using Long Short-Term Memory (LSTM) for forecasting solar radiation with high accuracy. The objective function is to minimize total system cost, including the investment cost of new transmission lines and the operating cost of power generation. The optimal TEP problem is solved by the Binary Differential Evolution (BDE) algorithm. To investigate and demonstrate the performance of the proposed method, the IEEE 24-bus system and solar radiation data in Thailand are selected as a study case for TEP. The MATPOWER program written in MATLAB software is used for solving optimal power flow problems. Simulation results show that the proposed optimal TEP method combined with forecasting solar PV power generation using the LSTM can reduce the total system cost of the transmission expansion by 9.12% compared with the cost obtained by the TEP using solar radiation from statistical data.

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Transmission network expansion planning considering renewable energy target

Cited by 4 publications

References 12 publications

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

Power quality measurements and analysis for a Romanian WPP

Optimal Transmission Expansion Planning with Long-Term Solar Photovoltaic Generation Forecast

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