Multi-objective power generation expansion planning with high penetration of renewables

Luz, Thiago da; Moura, Pedro; Almeida, Anı́bal T. de

doi:10.1016/j.rser.2017.06.069

Cited by 100 publications

(33 citation statements)

References 12 publications

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“…Nowadays, due to the increasing environmental, energy security, and policy goals, the power generation expansion planning involves multiple objectives . In multi‐objective problems, there is not, in general, a solution that simultaneously optimize all purposes, and to improve a non‐dominated solution, it is necessary to degrade the value of, at least, one other objective function.…”

Section: Optimization Modelmentioning

confidence: 99%

“…Some researchers run a set of timeseries to assess the uncertainty of results, 22 or run a set of scenarios to represent the stochastic behaviour of renewable energy, 23,24 and others consider one typical year. [25][26][27] Some researchers have used monthly resolution data, 22 daily resolution data, 28 the day divided in five periods and considering four days per year, 29,30 or hourly resolution data. 24,25 The spatial resolution can be a global average for the country, or with the country divided in subregions as it is verified in the Message-Brazil model.…”

Section: Related Workmentioning

confidence: 99%

“…Nowadays, due to the increasing environmental, energy security, and policy goals, the power generation expansion planning involves multiple objectives. 26 In multi-objective problems, there is not, in general, a solution that simultaneously optimize all purposes, and to improve a non-dominated solution, it is necessary to degrade the value of, at least, one other objective function. Despite the importance of the economic assessment, this paper aims to analyze the perspective of complementarity, being assessed the optimum result for complementarity (payoff) without considering other objective functions.…”

Section: Optimization Modelmentioning

confidence: 99%

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Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems

Luz

Moura

2019

Int Trans Electr Energ Syst

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Summary The positive impact of the complementarity between renewable generation sources has been presented in several studies, but this concept has been neglected in many studies of expansion planning. This paper presents a new approach to introduce the complementarity between renewable energy resources and regions into the expansion planning for 100% renewable energy systems. A novel objective function is proposed to optimize the electricity mix and the water flow of hydropower reservoirs, considering the daily and yearly variations. A case study is presented with the objective of assessing the optimum mix (for the complementarity perspective) between solar, wind, hydro, and biomass power to ensure the expected monthly and hourly energy demand for Brazil in 2050. In the Brazilian case, when the complementarity between regions was considered, it was possible to ensure the electricity demand increase without new large reservoirs and with a high contribution from all renewable generation sources. A mix to ensure the daily and annual demand in 2050, which promotes the best complementarity, is presented, resulting in a share of 27%, 16%, 34%, and 23% for photovoltaic, wind, hydro, and biomass power, respectively.

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Section: Optimization Modelmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Optimization Modelmentioning

confidence: 99%

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Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems

Luz

Moura

2019

Int Trans Electr Energ Syst

Self Cite

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“…That model was based on cost minimization considering investment cost, maintenance cost, production cost, loss cost, and residual energy cost, and the energy loss cost reflected by piecewise linear approximation. Reference [35] studied generation expansion planning to expand the share of RE. This study developed a multi-objective (minimizing the total cost, maximizing generation at the peak load, and maximizing the contribution of RE) optimization model and analyzed the Brazilian case based on a scenario.…”

Section: Generation Expansion Planning (Gep) Optimizationmentioning

confidence: 99%

Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes

2019

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Globally, many countries are experiencing economic growth while concurrently increasing their energy consumption. Several have begun to consider a low-carbon energy mix to mitigate the environmental impacts caused by increased fossil fuel consumption. In terms of maximizing profits, however, power producers are not sufficiently motivated to expand capacity due to high costs. Thus, the Korean government initiated the Renewable Portfolio Standard (RPS), an obligation to generate a certain proportion of a producer's total generation using renewable energy for power producers with capacities of 500 MW or more, and the Emissions Trading Scheme (ETS), designed to attain a carbon emissions reduction goal. We propose a mathematical model to derive the optimal operational strategy for maximizing power producer profits with a capacity expansion plan that meets both regulations. As such, the main purpose of this study was to obtain the optimal operational strategy for each obligatory power producer. To that end, we defined a 2 × 2 matrix to classify their types and to conduct scenario-based analyses to assess the impact of major factor changes on solutions for each type of power producer. Finally, for the power generation industry to operate in a sustainable and eco-friendly manner, we extracted policy implications that the Korean government could consider for each type of power producer.Energies 2019, 12, 1667 2 of 24 implemented RPS, which obligates power producers with 500 MW or more of NRE generation capacity to produce a certain percentage of the previous year's NRE generation capacity from renewable energy (RE) sources. The government aims to have more than 10% of electric power generation come from RE sources by 2023.At the 21st Conference of Parties, Korea, whose GHG emissions were 7th among Organization for Economic Co-operation and Development (OECD) countries in 2016, declared a national reduction target of 37% compared to business as usual (BAU) by 2030 [4]. In order to achieve this, in 2015, the government started ETS, which assigns companies Carbon Emissions Reductions (CER) based on annual and sectoral GHG reduction targets. Each company complies with this regulation by buying CER surplus, selling CER shortage, or paying penalties for excess emissions.Korea's major producers in the power generation industry, which accounts for more than one-third of national GHG emissions [7], must follow both regulations. RPS and ETS act as means to implement international commitments, from a national viewpoint, and to create a new paradigm that can affect operations, from an enterprise perspective. Therefore, obligatory power producers (hereafter, power producers) should be aware of the mechanisms of both regulations. They should also provide a stable power supply and establish an efficient future operational strategy.Korea's power industry is moving towards increasing the private-sector share from the nation-led sector. Thus, from a corporate management perspective, RPS and ETS will affect revenues and costs. Most previous...

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“…Chen et al [4] established a deterministic power planning model considering the non-carbon external costs in China, which mainly refer to the costs of biodiversity damage and health impact caused by power generation. Luz et al [5] proposed a multi-objective power generation planning considering high penetration of renewable energy sources, especially the solar power. Chen et al [6] took into account some low-carbon factors in power generation expansion planning, such as carbon prices or taxes, CO 2 allowances, and the application of various low-carbon technologies.…”

Section: Introductionmentioning

confidence: 99%

Power Generation Expansion Optimization Model Considering Multi-Scenario Electricity Demand Constraints: A Case Study of Zhejiang Province, China

Wang

et al. 2018

Energies

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Reasonable and effective power planning contributes a lot to energy efficiency improvement, as well as the formulation of future economic and energy policies for a region. Since only a few provinces in China have nuclear power plants so far, nuclear power plants were not considered in many provincial-level power planning models. As an extremely important source of power generation in the future, the role of nuclear power plants can never be overlooked. In this paper, a comprehensive and detailed optimization model of provincial-level power generation expansion considering biomass and nuclear power plants is established from the perspective of electricity demand uncertainty. This model has been successfully applied to the case study of Zhejiang Province. The findings suggest that the nuclear power plants will contribute 9.56% of the total installed capacity, and it will become the second stable electricity source. The lowest total discounted cost is 1033.28 billion RMB and the fuel cost accounts for a large part of the total cost (about 69%). Different key performance indicators (KPI) differentiate electricity demand in scenarios that are used to test the model. Low electricity demand in the development mode of the comprehensive adjustment scenario (COML) produces the optimal power development path, as it provides the lowest discounted cost.

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Multi-objective power generation expansion planning with high penetration of renewables

Cited by 100 publications

References 12 publications

Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems

Power generation expansion planning with complementarity between renewable sources and regions for 100% renewable energy systems

Optimal Operational Strategy for Power Producers in Korea Considering Renewable Portfolio Standards and Emissions Trading Schemes

Power Generation Expansion Optimization Model Considering Multi-Scenario Electricity Demand Constraints: A Case Study of Zhejiang Province, China

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