Impact of Generation Flexibility on the Operating Costs of the Taiwan Power System Under a High Penetration of Renewable Power

The penetration of renewable energy is gradually increasing. Therefore, power system flexibility, which is required to maintain system security and to cope with renewable generation uncertainty, becomes more important. Various technologies, such as flexible generators, demand management, energy storage, network reconfiguration, and even efficient system operations, are capable of improving power system flexibility. Nevertheless, among them, flexible generation resources can provide a direct way to enhance the power system flexibility. This article first applies the fuzzy analytic hierarchy process to calculate the flexibility index of generation resources. Then, the process of unit scheduling is implemented under various operation scenarios to investigate the relationship between the generation flexibility and the cost of unit scheduling. Finally, the required flexibility and the corresponding capacity of flexible generators under a specified penetration of renewable power generation are investigated under different operation scenarios.

[1]  Zongxiang Lu,et al.  Probabilistic Flexibility Evaluation for Power System Planning Considering Its Association With Renewable Power Curtailment , 2018, IEEE Transactions on Power Systems.

[2]  Taher Niknam,et al.  Flexible, reliable, and renewable power system resource expansion planning considering energy storage systems and demand response programs , 2019, IET Renewable Power Generation.

[3]  I. MacGill,et al.  Operational flexibility of future generation portfolios with high renewables , 2017 .

[4]  Ming-Tse Kuo,et al.  Considering Carbon Emissions in Economic Dispatch Planning for Isolated Power Systems: A Case Study of the Taiwan Power System , 2018, IEEE Transactions on Industry Applications.

[5]  George Tsatsaronis,et al.  Value of power plant flexibility in power systems with high shares of variable renewables: A scenario outlook for Germany 2035 , 2017 .

[6]  Tong Guo,et al.  Optimal Scheduling of Power System Incorporating the Flexibility of Thermal Units , 2018 .

[7]  G. Papaefthymiou,et al.  Towards 100% renewable energy systems: Uncapping power system flexibility , 2016 .

[8]  Ming Yang,et al.  A fast heuristic algorithm for maximum LOLP constrained unit commitment , 2012, IEEE PES Innovative Smart Grid Technologies.

[9]  Peter Lund,et al.  Modeling flexibility and optimal use of existing power plants with large-scale variable renewable power schemes , 2016 .

[10]  Bryan Palmintier,et al.  Impact of operational flexibility on electricity generation planning with renewable and carbon targets , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[11]  Manuel A. Matos,et al.  Flexibility products and markets: Literature review , 2018 .

[12]  John E. Bistline,et al.  Turn Down for What? The Economic Value of Operational Flexibility in Electricity Markets , 2019, IEEE Transactions on Power Systems.

[13]  Enrico Zio,et al.  An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production , 2018, Applied Energy.

[14]  Irfan Al-Anbagi,et al.  Fuzzy AHP-based Siting of Small Modular Reactors for Power Generation in the Smart Grid , 2018, 2018 IEEE Electrical Power and Energy Conference (EPEC).

[15]  Hendrik Kondziella,et al.  Flexibility requirements of renewable energy based electricity systems – a review of research results and methodologies , 2016 .

[16]  Zhi Zhou,et al.  The benefits of nuclear flexibility in power system operations with renewable energy , 2018, Applied Energy.

[17]  Christoph Goebel,et al.  The effect of PV siting on power system flexibility needs , 2016 .

[18]  J. Roh,et al.  Competitiveness of open-cycle gas turbine and its potential in the future Korean electricity market with high renewable energy mix , 2019, Energy Policy.

[19]  W. Deason Comparison of 100% renewable energy system scenarios with a focus on flexibility and cost , 2018 .

[20]  Ville Olkkonen,et al.  Utilising demand response in the future Finnish energy system with increased shares of baseload nuclear power and variable renewable energy , 2018, Energy.

[21]  Ioannis P. Panapakidis,et al.  Impact of the penetration of renewables on flexibility needs , 2017 .

[22]  Arnold Tukker,et al.  Future scenarios of variable renewable energies and flexibility requirements for thermal power plants in China , 2019, Energy.

[23]  Meng-Hui Wang,et al.  Optimal Unit Commitment by Considering High Penetration of Renewable Energy and Ramp Rate of Thermal Units-A case study in Taiwan , 2019, Applied Sciences.

[24]  Yuan-Kang Wu,et al.  Impact of Generation Flexibility on the Operating Cost Under a High Penetration of Renewable Power Integration , 2019, 2019 IEEE Industry Applications Society Annual Meeting.

[25]  Peter Lund,et al.  Review of energy system flexibility measures to enable high levels of variable renewable electricity , 2015 .

[26]  Xinyuan Liu,et al.  Grid-side flexibility of power systems in integrating large-scale renewable generations: A critical review on concepts, formulations and solution approaches , 2018, Renewable and Sustainable Energy Reviews.

[27]  Bri-Mathias Hodge,et al.  Enhancing Power System Operational Flexibility With Flexible Ramping Products: A Review , 2017, IEEE Transactions on Industrial Informatics.

[28]  Harald G. Svendsen,et al.  A generic framework for power system flexibility analysis using cooperative game theory , 2018 .

[29]  Pio Lombardi,et al.  Accentuating the renewable energy exploitation: Evaluation of flexibility options , 2018, International Journal of Electrical Power & Energy Systems.

[30]  Robin Girard,et al.  Multi-temporal assessment of power system flexibility requirement , 2019, Applied Energy.

[31]  Pierluigi Mancarella,et al.  Challenges and trends of energy storage expansion planning for flexibility provision in low-carbon power systems – a review , 2017 .

[32]  S. Z. Sayed Hassen,et al.  A composite metric for assessing flexibility available in conventional generators of power systems , 2016 .

[33]  Hossein Fallahzadeh-Abarghouei,et al.  Flexible Co-Scheduling of integrated electrical and gas energy networks under continuous and discrete uncertainties , 2019 .

[34]  E. Haesen,et al.  Power System Flexibility Tracker: Indicators to track flexibility progress towards high-RES systems , 2018, Renewable Energy.

[35]  Wei-Jen Lee,et al.  An Integration of ANN Wind Power Estimation Into Unit Commitment Considering the Forecasting Uncertainty , 2007, IEEE Transactions on Industry Applications.

[36]  Bin-Kwie Chen,et al.  Simplified Frequency Estimation for Unit Scheduling Criteria for Grids With High Wind Penetration , 2017, IEEE Transactions on Industry Applications.

[37]  Farrokh AMINIFAR,et al.  Power system flexibility: an overview of emergence to evolution , 2019, Journal of Modern Power Systems and Clean Energy.

[38]  Pierluigi Siano,et al.  Flexibility in future power systems with high renewable penetration: A review , 2016 .