Abstract
This chapter presents the planning problems of the LSIES considering the optimal unit sizing and the multi-stage contingency-constrained co-planning, respectively. First, a comprehensive framework including a multi-objective interval optimization model and evidential reasoning (ER) approach is introduced to solve the unit sizing problem of small-scale integrated energy systems, with uncertain wind and solar energies integrated. In the multi-objective interval optimization model, interval variables are introduced to tackle the uncertainties of the optimization problem. Aiming at simultaneously considering the cost and risk of a business investment, the average and deviation of life cycle cost (LCC) of the integrated energy system are formulated. Second, a multi-stage contingency-constrained co-planning for electricity-gas systems (EGS) interconnected with gas-fired units and power-to-gas (P2G) plants considering the uncertainties of load demand and wind power. The MCC model considers the long-term co-planning for EGS with the short-term operation constraints, while enabling systems to satisfy N-1 reliability criterion. These planning problems are solved utilizing the multi-objective optimization algorithms and decision-making support methods introduced in the previous chapters.
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Wu, QH., Zheng, J., Jing, Z., Zhou, X. (2019). Planning of the Large-Scale Integrated Energy Systems. In: Large-Scale Integrated Energy Systems. Energy Systems in Electrical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-13-6943-8_5
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DOI: https://doi.org/10.1007/978-981-13-6943-8_5
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