Cost–benefit analysis of pumped hydro storage using improved probabilistic production simulation method

This study presents an improved probabilistic production simulation method to facilitate the cost–benefit analysis of pumped hydro storage. To capture the coherent feature of power system operation, the traditional form of probabilistic production simulation is strengthened under a three-fold computational framework. First, the chronological sequences of renewable energy generation and imbalanced power are produced according to a set of feature metrics. Then, the imbalanced power series are modified through the long-term scheduling of pumped hydro storage. At last, the regular steps of probabilistic production simulation, including construction of equivalent energy function and convolution operation, are implemented to derive the operational cost and reliability metrics of power system. Case studies on IEEE-RTS79 system demonstrate the effectiveness of the proposed simulation method, which enables the quantitative assessment for cost-benefits of pumped hydro storage towards a high-penetration renewable energy integrated power system.

[1]  Hong Shen,et al.  The Probabilistic Production Simulation for Mixed Wind-Hydro-Thermal Power System and the Sensitivity Analysis for the Indices of Abandoned Wind , 2012, 2012 Asia-Pacific Power and Energy Engineering Conference.

[2]  X. Wang,et al.  Equivalent energy function approach to power system probabilistic modeling , 1988 .

[3]  Bin Li,et al.  Adequacy assessment of generation system based on time-sequential state transition matrices of wind speeds , 2016, 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).

[4]  A.M. Gonzalez,et al.  Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market , 2008, IEEE Transactions on Power Systems.

[5]  Goran Andersson,et al.  Value of Lost Load: How much is supply security worth? , 2013, 2013 IEEE Power & Energy Society General Meeting.

[6]  Ruiwei Jiang,et al.  Robust Unit Commitment With Wind Power and Pumped Storage Hydro , 2012, IEEE Transactions on Power Systems.

[7]  Gabriela Hug,et al.  A Multi-Time Scale Co-Optimization Method for Sizing of Energy Storage and Fast-Ramping Generation , 2016, IEEE Transactions on Sustainable Energy.

[8]  Wil L. Kling,et al.  Integration of large-scale wind power and use of energy storage in the netherlands' electricity supply , 2008 .

[9]  R. Chedid,et al.  Probabilistic production costing of diesel-wind energy conversion systems , 2000 .

[10]  Ming Zhou,et al.  Studies on Impact of Wind Power Using Power System Probabilistic Production Simulation , 2012, 2012 Asia-Pacific Power and Energy Engineering Conference.

[11]  G. Gross,et al.  A Production Simulation Tool for Systems With Integrated Wind Energy Resources , 2011, IEEE Transactions on Power Systems.

[12]  A. Haddad,et al.  CF3I Gas Mixtures: Breakdown Characteristics and Potential for Electrical Insulation , 2017, IEEE Transactions on Power Delivery.

[13]  Probability Subcommittee,et al.  IEEE Reliability Test System , 1979, IEEE Transactions on Power Apparatus and Systems.