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access icon free Review of planning methodologies used for determination of optimal generation capacity mix: the cases of high shares of PV and wind

© The Institution of Engineering and Technology
Received 05/06/2017, Accepted 21/04/2018, Revised 01/03/2018, Published 23/04/2018

It is an undeniable fact that energy systems all over the world are at the point of a paradigm shift as a need for decarbonisation is eminent and unavoidable. The pressure to decarbonise mounts year after year. Since two thirds of all anthropogenic greenhouse-gas emissions come from the energy sector, decarbonisation is more about reducing emissions in the energy system than any other system in the world. The increased need for decarbonisation has resulted in the increased installation of photovoltaic (PV) and wind systems in countries such as China, India, Germany, Ireland, Denmark, Japan and USA. The increased use of intermittent renewable energy resources introduces a need for advanced methods of planning because traditional planning methods give sub-optimal generation capacity mix when the electric grid is faced with high shares of variable renewable energy resources such as PV and wind. In light of this, this review highlights the major changes in planning methodologies when solving for optimal penetration of generation capacity in systems with high shares of PV and wind. The major highlights are placed on why the methodologies need to evolve as penetration levels of PV and wind increase and further highlight missing issues from the current advanced methods.

Inspec keywords: photovoltaic power systems; power generation planning; air pollution control; wind power plants; power generation economics

Other keywords: decarbonisation; intermittent renewable energy resources; penetration levels; electric grid; energy systems; Denmark; China; Germany; variable renewable energy resources; Ireland; optimal generation capacity mix; anthropogenic greenhouse-gas emissions; PV system; India; planning methodologies; USA; wind system; Japan

Subjects: Power system planning and layout; Power system management, operation and economics; Solar power stations and photovoltaic power systems; Wind power plants; Pollution detection and control

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