A stochastic mixed-integer convex programming model for long-term distribution system expansion planning considering greenhouse gas emission mitigation

Home-Ortiz, Juan M.; Melgar‐Dominguez, Ozy D.; Pourakbari‐Kasmaei, Mahdi; Mantovani, José Roberto Sanches

doi:10.1016/j.ijepes.2018.12.042

Cited by 67 publications

(57 citation statements)

References 29 publications

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“…During analysis, each year is divided into four seasons due to the variance in the cost of electricity and solar radiance. Seasonal analyses in power systems were previously proposed in [31,32], proving to yield positive results. The deterministic model is run for one day for each of the four seasons.…”

Section: Optimal Prosumer Asset Planningmentioning

confidence: 99%

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

et al. 2020

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In the distribution system, customers have increasingly use renewable energy sources and battery energy storage systems (BESS), transforming traditional loads into active prosumers. Therefore, methodologies are needed to provide prosumers with tools to optimize their investments and increase business opportunities. In this paper, a stochastic mixed integer linear programming (MILP) formulation is proposed to solve for optimal sizes of prosumer assets, considering the use of a BESS and photovoltaic (PV) units. The objective is to minimize the total cost of the system, which is defined as the combination of a solar PV system investment, BESS investment, maintenance costs of assets, and the cost of electricity supplied by the grid. The developed method defines the optimal size of PV units, the power/energy capacities of the BESS, and the optimal value for initial energy stored in the BESS. Both deterministic and stochastic approaches were explored. For each approach, the proposed model was tested for three cases, providing a varying combination of the use of grid power, PV units, and BESS. The optimal values from each case were compared, showing that there is potential to achieve more economic plans for prosumers when PV and BESS technologies are taken into account.

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Section: Optimal Prosumer Asset Planningmentioning

confidence: 99%

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

et al. 2020

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“…Until now, most papers have focused on the generation side, where the technologies can be categorized as: i) CO2 control devices, such as carbon capture and storage (CCS) [8], [9], ii) renewable-energy-based technologies (RET) [10], [11], iii) emission-constrained models (ECM) [12], [13], and iv) demand-response (DR) based models [14], [15]. The CCS technology is used to capture CO2 from the power plant depositing it in a place where it is not able to enter the atmosphere.…”

Section: B Parametersmentioning

confidence: 99%

“…The BAP is the amount of active power absorbed by bus i, . This power consists of the input power flow to bus i from an adjacent bus j, pji, and the power generated at bus i, PGi, (12).…”

Section: ) Bus Absorbed Power (Bap)mentioning

confidence: 99%

Carbon Footprint Management: A Pathway Toward Smart Emission Abatement

Pourakbari‐Kasmaei

Lehtonen

Contreras

et al. 2020

IEEE Trans. Ind. Inf.

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There is an increasing concern about controlling and reducing carbon emissions in power systems. In this regard, researchers have focused on managing emissions on the generation side, which is the main source of emissions. Considering emission limits on the generation side results in an increase in locational marginal prices that negatively affects social welfare. However, carbon emissions are a by-product of electricity generation that is used to satisfy the demands on the consumer side. Consequently, demand side emission control may not be achieved if only generation is taken into account. In order to fill this existing gap, in this paper, a demand-side management approach aiming at carbon footprint control is proposed. First, the carbon footprint is allocated among the consumers using an improved proportional sharing theorem method. Each consumer learns about their real-time carbon footprint, excess carbon footprint, and the incurred surcharge tax. Then, demands are adjusted via a proper adjustment procedure. This provides enough information for consumers where demand management may result in carbon footprint and demand reductions as well as the exemption of incurred taxes. Profit analysis for both generation and demand sides is carried out to show the effectiveness of the proposed framework using two illustrative case studies. The results obtained, compared with existing policies such as carbon cap, cap-and-trade, and carbon tax, prove the fairness and the advantages of the proposed model for both the demand and the generation sides.Index Terms-Carbon footprint allocation, carbon abatement, demand side management, power tracing, tax exemption.

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“…Cheng et al [25] proposed a bi-level expansion planning model of multiple energy systems that considers the carbon emission constraints under a decentralized approach, and a case study based on the model is implemented in Northern China. In order to better determine the planning and operation plan for renewable energy, Home et al [26] proposed a multi-stage convex distribution system planning model to find the best reinforcement plan over a specified horizon. This strategy determines planning actions, such as the reinforcement of existing substations and the siting and sizing of renewable and dispatchable distributed generation units.…”

Section: Introductionmentioning

confidence: 99%

Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China

Wang

2019

Energies

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In China, electricity market reform was first implemented in 2015. At the same time, the national carbon market was built, along with the electricity industry, which was considered a breakthrough. Some key considerations for the future development of China's electricity system include the implementation of demand-side measures in order to adjust the peak-to-valley difference and the economic dispatch of increasing intermittent renewable energy and traditional energy in the process of power marketization with the implementation of a carbon policy. This paper examines the impact of policies on electricity generation by modelling the evolution process of power marketization and the economic dispatch of generation technologies over a sixteen-year period beginning in 2020. We model four potential influencing factors of government policy: (1) the demand response mode;(2) power marketization process; (3) capacity adjustment of thermal power units; and (4) carbon taxes, which vary in terms of their timing and amount. This model assesses the impact of these influencing factors on the competition between electricity generators using a range of output variables, including generation portfolios, electricity prices, capacity factors, CO 2 emissions, etc. The results show that the new round of electricity market reforms has had a positive impact on renewable energy generation. The influence of carbon policy is evident in the promotion, transformation and elimination of thermal units, and an indirect increase in renewable energy generation.Energies 2019, 12, 2152 4 of 26 is considered, and (4) the power sector pays the carbon cost of thermal power units under the implementation of the carbon market.An illustrative model structure of power generation economic analysis is presented in Figure 1, including the data input, model design scenarios, objective functions and model output. The data input requires data on the detailed composition of the power sector at the beginning of the planning horizon, predicted power demand, future installed capacity development plan, CO 2 prices, as well as the technological and fuel parameters, considered over the planning horizon. The modus of China's future electricity generation is divided into two parts, under electricity marketization, in this model: the first part is the "equal shares" dispatch generation for the planned electricity sector, whereby all types of power generation technologies comply with the "equal shares" electricity generation rules; the second part entails the "economic optimization" dispatch generation for the electricity market sector, which is under an economic optimization algorithm that selects the lowest-cost option for electricity generation. The output of the model can provide detailed information about the pathway of China's power sector under different policy scenarios over the planning horizon, including the power generation profiles, capacity factors of various power generation technologies, market price on an hourly basis, costs and revenues of various generatio...

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A stochastic mixed-integer convex programming model for long-term distribution system expansion planning considering greenhouse gas emission mitigation

Cited by 67 publications

References 29 publications

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Optimal Asset Planning for Prosumers Considering Energy Storage and Photovoltaic (PV) Units: A Stochastic Approach

Carbon Footprint Management: A Pathway Toward Smart Emission Abatement

Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China

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