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- Design and operation of energy systems with large amounts of variable generation: Final summary report, IEA Wind TCP Task 25Publication . Holttinen, Hannele; Kiviluoma, Juha; Helistö, Niina; Levy, Thomas; Menemenlis, Nickie; Jun, Liu; Cutululis, Nicolaos Antonio; Koivisto, Matti; Das, Kaushik; Orths, Antje; Eriksen, Peter Børre; Neau, Emmanuel; Bourmaud, Jean-Yves; Dobschinski, Jan; Pellinger, Christoph; von Roon, Serafin; Guminski, Andrej; Flynn, Damian; Carlini, Enrico Maria; Yasuda, Yoh; Tanabe, Ryuya; Watson, Simon; van der Meer, Arjen; Morales-España, Germán; Korpås, Magnus; Vrana, Til Kristian; Estanqueiro, Ana; Couto, António; Silva, Bernardo; Martínez, Sergio Martín; Söder, Lennart; Strbac, Goran; Pudjianto, Danny; Giannelos, Spyros; Frew, Bethany; Hodge, Bri-Mathias; Shah, Shahil; Smith, J. Charles; Lew, Debbie; O'Malley, Mark; Klonari, VasilikiABSTRACT: This report summarises findings on wind integration from the 17 countries or sponsors participating in the International Energy Agency Wind Technology Collaboration Programme (IEA Wind TCP) Task 25 from 2006–2020. Both real experience and studies are reported. Many wind integration studies incorporate solar energy, and most of the results discussed here are valid for other variable renewables in addition to wind. The national case studies address several impacts of wind power on electric power systems. In this report, they are grouped under long-term planning issues and short-term operational impacts. Long-term planning issues include grid planning and capacity adequacy. Short-term operational impacts include reliability, stability, reserves, and maximising the value of wind in operational timescales (balancing related issues). The first section presents the variability and uncertainty of power system-wide wind power, and the last section presents recent studies toward 100% shares of renewables. The appendix provides a summary of ongoing research in the national projects contributing to Task 25 for 2021–2024. The design and operation of power and energy systems is an evolving field. As ambitious targets toward net-zero carbon energy systems are announced globally, many scenarios are being made regarding how to reach these future decarbonized energy systems, most of them involving large amounts of variable renewables, mainly wind and solar energy. The secure operation of power systems is increasingly challenging, and the impacts of variable renewables, new electrification loads together with increased distribution system resources will lead to somewhat different challenges for different systems. Tools and methods to study future power and energy systems also need to evolve, and both short term operational aspects (such as power system stability) and long-term aspects (such as resource adequacy) will probably see new paradigms of operation and design. The experience of operating and planning systems with large amounts of variable generation is accumulating, and research to tackle the challenges of inverter-based, nonsynchronous generation is on the way. Energy transition and digitalization also bring new flexibility opportunities, both short and long term.
- Design and operation of power systems with large amounts of wind power: State of the art reportPublication . Holttinen, Hannele; Lemstrom, Bettina; Meibom, Peter; Bindner, Henrik; Orths, Antje; Van Hulle, Frans; Ensslin, Cornel; Tiedemann, Albrecht; Hofmann, Lutz; Winter, Wilhelm; Tuohy, Aidan; O'Malley, Mark; Smith, Paul; Pierik, Jan; Tande, John O.; Estanqueiro, Ana; Ricardo, João; Gomez, Emilio; Soder, Lennart; Strbac, Goran; Shakoor, Anser; Smith, J. Charles; Parsons, Brian; Milligan, Michael; Wan, Yih H.High penetration of wind power has impacts that have to be managed through proper plant interconnection, integration, transmission planning, and system and market operations. This report is a summary of case studies addressing concerns about the impact of wind powers variability and uncertainty on power system reliability and costs. The case studies summarized in this report are not easy to compare due to different methodology and data used, as well as different assumptions on the interconnection capacity available. Integration costs of wind power need to be compared to something, like the production costs or market value of wind power, or integration cost of other production forms. There is also benefit when adding wind power to power systems: it reduces the total operating costs and emissions as wind replaces fossil fuels. Several issues that impact on the amount of wind power that can be integrated have been identified. Large balancing areas and aggregation benefits of large areas help in reducing the variability and forecast errors of wind power as well as help in pooling more cost effective balancing resources. System operation and working electricity markets at less than day-ahead time scales help reduce forecast errors of wind power. Transmission is the key to aggregation benefits, electricity markets and larger balancing areas. From the investigated studies it follows that at wind penetrations of up to 20% of gross demand (energy), system operating cost increases arising from wind variability and uncertainty amounted to about 14 /MWh. This is 10% or less of the wholesale value of the wind energy. With current technology, wind power plants can be designed to meet industry expectations such as riding through voltage dips, supplying reactive power to the system, controlling terminal voltage, and participating in system operation with output and ramp rate control. The cost of grid reinforcements due to wind power is very dependent on where the wind power plants are located relative to load and grid infrastructure. The grid reinforcement costs from studies in this report vary from 50 /kW to 160 /kW. The costs are not continuous; there can be single very high cost reinforcements, and there can also be differences in how the costs are allocated to wind power. Wind generation will also provide some additional load carrying capability to meet forecasted increases in system demand. This contribution can be up to 40% of installed capacity if wind power production at times of high load is high, and down to 5% in higher penetrations and if local wind characteristics correlate negatively with the system load profile. Aggregating larger areas benefits the capacity credit of wind power. State-of-the-art best practices so far include (i) capturing the smoothed out variability of wind power production time series for the geographic diversity assumed and utilising wind forecasting best practice for the uncertainty of wind power production (ii) examining wind variation in combination with load variations, coupled with actual historic utility load and load forecasts (iii) capturing system characteristics and response through operational simulations and modelling and (iv) examining actual costs independent of tariff design structure.