Day-ahead scheduling of multi-carrier energy systems with multi-type energy storages and wind power

The integration of large-scale wind power brings challenges to the operation of integrated energy systems (IES). In this paper, a day-ahead scheduling model for IES with wind power and multi-type energy storage is proposed in a scenario-based stochastic programming framework. The structure of the IE...

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Bibliographic Details
Published inCSEE Journal of Power and Energy Systems Vol. 4; no. 3; pp. 283 - 292
Main Authors Zhang, Rufeng, Jiang, Tao, Li, Guoqing, Chen, Houhe, Li, Xue, Bai, Linquan, Cui, Hantao
Format Journal Article
LanguageEnglish
Published Beijing Chinese Society for Electrical Engineering Journal of Power and Energy Systems 01.09.2018
China electric power research institute
Subjects
Constraint modelling
Electricity
Electricity pricing
Energy
Energy storage
Heating
Hypercubes
Integer programming
Integrated energy systems
Latin hypercube sampling
Linear programming
Mixed integer
Natural gas
Objective function
Renewable energy
Scheduling
Wind farms
Wind power
Wind speed
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Summary:The integration of large-scale wind power brings challenges to the operation of integrated energy systems (IES). In this paper, a day-ahead scheduling model for IES with wind power and multi-type energy storage is proposed in a scenario-based stochastic programming framework. The structure of the IES consists of electricity, natural gas, and heating networks which are all included in the model. Operational constraints for IES incorporating multi-type energy storage devices are also considered. The constraints of the electricity network, natural gas network and heating network are formulated, and nonlinear constraints are linearized. The calculation method for the correlation of wind speed between wind farms based on historical data is proposed. Uncertainties of correlated wind power were represented by creating multiple representative scenarios with different probabilities, and this was done using the Latin hypercube sampling (LHS) method. The stochastic scheduling model is formulated as a mixed integer linear programming (MILP) problem with the objective function of minimizing the total expected operation cost. Numerical results on a modified PJM 5-bus electricity system with a seven-node natural gas system and a six-node heating system validate the proposed model. The results demonstrate that multi-type energy storage devices can help reduce wind power curtailments and improve the operational flexibility of IES.
ISSN:2096-0042
2096-0042
DOI:10.17775/CSEEJPES.2017.01250