Medium‐term retailer's planning and participation strategy considering electricity market uncertainties
作者： Saeed Kharrati , Mostafa Kazemi , Mehdi Ehsan
DOI: 10.1002/ETEP.2113
关键词: Robust optimization problem 、 Stochastic programming 、 Decision theory 、 Economics 、 Futures contract 、 Medium term 、 Electricity market 、 Profit (economics) 、 New england 、 Operations research
摘要: Summary This paper presents a risk-constrained programming approach to solve retailer's medium-term planning problem. A retailer tries maximize its profit via determining the optimal price offered customers as well strategy of participating in futures and pool markets. The uncertainty prices is modeled by an envelope-bound information-gap model. Another source this problem clients' demand, which considered scenario generation method. proposed method formulated bi-level stochastic based on decision theory. Karush–Kuhn–Tucker optimality conditions are used convert into single-level robust optimization performance demonstrated using case study New England market, results discussed. Copyright © 2015 John Wiley & Sons, Ltd.
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