Multi-Objective Expansion Planning of Renewable Resources in Distribution Systems Towards Achieving a Pollution Free Structure

Azari, Tooraj Ostadi; Tabar, Vahid Sohrabi; Amraee, Turaj

doi:10.1109/icee55646.2022.9827059

Cited by 2 publications

(1 citation statement)

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“…Choi and Lee (2022) [38] consider PV and wind technologies and their impacts, in a setting where production subsidies are used to plan the generation expansion in Jiangsu, China for 2020-2050, which also considers flexibility requirements for handling variability and intermittency of PV and wind renewable sources. Several studies address the problem of variability, intermittency and uncertainty involved in renewable energy plants with integration of energy storage systems [39], electric vehicle systems [40], aspects that can be incorporated into the generation expansion context. When the penetration level of renewables is high, fluctuations in renewable energy generation are dealt with by operation constraints, which increase utilization of renewables in the grid [41].…”

Section: Introductionmentioning

confidence: 99%

Optimizing Incentive Plans for Renewable Energy Growth in the Electricity Market

Paç,

Şeker

2024

IEEE Access

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The competitive edge of renewable energy depends on financial support from central planners. An effective intervention with reasonable burden on taxpayers requires anticipating the choice of profit maximizing investors regarding capacity installation and electricity generation from certain locations for solar, wind and fossil-based power plants in response to technology, cost, price and incentive parameters. A 10-year generation expansion planning horizon is favored, during which capacity factors, cost projections, and electricity prices remain reasonably predictable. Investment costs within the horizon are accounted for using a depreciation model. Scenarios are considered for technology, costs, demand, wholesale prices and depreciation rates for investigating outcomes of intervention by investment subsidies and generation incentives. A mixedinteger model is devised for optimal investor decisions. Pareto analysis is conducted for each scenario setting over the optimal solutions at different incentive and subsidy rates for wind and solar plants considering three criteria: cost of intervention, renewable shares in installed capacity and overall energy generation. Under a moderate scenario, sharing 20% of the commissioning and operation costs, the central planner elicits nearly 30% increase in the shares of renewable plants in installed capacity to 72%, and electricity generation to 80%. An overall optimistic scenario achieves 75% renewables with similar interventions, while an overall pessimistic scenario attains 60%. Most of this variability is accountable to the depreciation scheme, scenarios on renewable technology and cost are partially effective, while fluctuations in demand, wholesale prices, technology and cost of the natural gas alternative are shown to have negligible impact on outcomes of the intervention.INDEX TERMS Generation expansion planning, incentive policies, mixed-integer programming, multicriteria, Pareto optimal, renewable energy.

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