A Generation Expansion Planning model for integrating high shares of renewable energy: A Meta-Model Assisted Evolutionary Algorithm approach

Vrionis, Constantinos; Tsalavoutis, Vasilios; Tolis, Athanasios

doi:10.1016/j.apenergy.2019.114085

Cited by 25 publications

(6 citation statements)

References 67 publications

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“…In order to tackle this challenge, a very detailed model in Balmorel addressing the aspects mentioned previously was defined, and then a method to translate the optimal results to a RoadMap with realistic projects, that are close to the optimal solution, was developed. Other related studies, Faroese [3], [8], [9], [15], [18]- [21] or international [33]- [38], do not transform the optimal results into an actual action plan. Reference [34] analyses the feasibility and security level of a highly renewable power system in the Mainland Portugal using the tool EnergyPLAN and a single predefined scenario.…”

Section: Introductionmentioning

confidence: 99%

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100% Sustainable Electricity in the Faroe Islands: Expansion Planning Through Economic Optimization

Tróndheim

Niclasen

Nielsen³

et al. 2021

IEEE Open J. Power Energy

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SEV, the Faroese Power Company, has a vision to reach a 100% renewable power system by 2030. SEV is committed to achieve this, starting from a 41% share of renewables in 2019. A detailed expansion plan for the generation, storage and transmission is needed to reach this goal. This is the focus of this study. Practical constrains e.g. resource potential and available space must be considered. Balmorel, an optimisation tool, has been used to optimise investments and dispatch. A method to translate optimal results to a realistic RoadMap was developed and applied. The impact of different technologies and costs has been investigated through multiple scenarios. In ratios of average consumption in 2030, installed power will be 224% wind, 105% solar with 8-9 days of pumped hydro storage according to the proposed RoadMap. The plan is economically favorable up to 87% of renewables, but in order to reach a 100% renewable production in an average weather year, the renewable generation capacity has to be increased by 80%. The study also shows that if biofules or tidal technologies become viable, these will be game changers needing a significantly lower total sum of installed renewable power.

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Section: Introductionmentioning

confidence: 99%

“…The annually optimal investments are obtained. The operation challenges in a renewable system are integrated in a model proposed by [33]. An expansion planning study of Santiago, Cabo Verde, defines each suitable location for renewables and the available capacity, but investments are not optimised [36].…”

Section: Introductionmentioning

confidence: 99%

100% Sustainable Electricity in the Faroe Islands: Expansion Planning Through Economic Optimization

Tróndheim

Niclasen

Nielsen³

et al. 2021

IEEE Open J. Power Energy

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“…The analytical formulation of Df (t) in the time domain can be given as (23), where the damping frequency w r and coefficients α and φ are defined in (24). Then, a step signal is settled for the power deviation.…”

Section: Formulation Of Amsfr Modelmentioning

confidence: 99%

“…Also, overlooking frequency responses from RES-based power plants incurs unnecessary BESS allocation. Besides, recent developments in generation expansion planning (GEP) problem mainly highlight the need for RES integration [23], [24], combination with shortterm operation [1], system reliability [25], and market design [26]. In the future low-inertia power systems, traditional GEP methods cannot make a trade-off between economy and frequency stability, which possibly causes serious frequency collapse ultimately.…”

Section: Introductionmentioning

confidence: 99%

Frequency-constrained Co-planning of Generation and Energy Storage with High-penetration Renewable Energy

Zhang

Cheng

et al. 2021

Journal of Modern Power Systems and Clean Energy

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Large-scale renewable energy integration decreases the system inertia and restricts frequency regulation. To maintain the frequency stability, allocating adequate frequency-support sources poses a critical challenge to planners. In this context, we propose a frequency-constrained coordination planning model of thermal units, wind farms, and battery energy storage systems (BESSs) to provide satisfactory frequency supports. Firstly, a modified multi-machine system frequency response (MSFR) model that accounts for the dynamic responses from both synchronous generators and grid-connected inverters is constructed with preset power-headroom. Secondly, the rate-ofchange-of-frequency (ROCOF) and frequency response power are deduced to construct frequency constraints. A data-driven piecewise linearization (DDPWL) method based on hyperplane fitting and data classification is applied to linearize the highly nonlinear frequency response power. Thirdly, frequency constraints are inserted into our planning model, while the unit commitment based on the coordinated operation of the thermalhydro-wind-BESS hybrid system is implemented. At last, the proposed model is applied to the IEEE RTS-79 test system. The results demonstrate the effectiveness of our co-planning model to keep the frequency stability.

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“…Ref. [8] provides a model for expanding the power systems by simulating over the 15-year period. In this study, the applied algorithm to establish the optimal solution is a meta-model assisted evolutionarily.…”

Section: Introductionmentioning

confidence: 99%

A Game Theory Approach Using the TLBO Algorithm for Generation Expansion Planning by Applying Carbon Curtailment Policy

Jalalzad¹,

Yektamoghadam

Haghighi

et al. 2022

Energies

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In the present climate, due to the cost of investments, pollutants of fossil fuel, and global warming, it seems rational to accept numerous potential benefits of optimal generation expansion planning. Generation expansion planning by regarding these goals and providing the best plan for the future of the power plants reinforces the idea that plants are capable of generating electricity in environmentally friendly circumstances, particularly by reducing greenhouse gas production. This paper has applied a teaching–learning-based optimization algorithm to provide an optimal strategy for power plants and the proposed algorithm has been compared with other optimization methods. Then the game theory approach is implemented to make a competitive situation among power plants. A combined algorithm has been developed to reach the Nash equilibrium point. Moreover, the government role has been considered in order to reduce carbon emission and achieve the green earth policies. Three scenarios have been regarded to evaluate the efficiency of the proposed method. Finally, sensitivity analysis has been applied, and then the simulation results have been discussed.

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A Generation Expansion Planning model for integrating high shares of renewable energy: A Meta-Model Assisted Evolutionary Algorithm approach

Cited by 25 publications

References 67 publications

100% Sustainable Electricity in the Faroe Islands: Expansion Planning Through Economic Optimization

100% Sustainable Electricity in the Faroe Islands: Expansion Planning Through Economic Optimization

Frequency-constrained Co-planning of Generation and Energy Storage with High-penetration Renewable Energy

A Game Theory Approach Using the TLBO Algorithm for Generation Expansion Planning by Applying Carbon Curtailment Policy

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