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OPTIMAL PURCHASING PROCESS FOR ELECTRICITY AND RENEWABLE ENERGY CREDITS WITH PRICE AND DEMAND UNCERTAINTY 被引量:3
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作者 Zhiyuan CHEN Yiwen SU houmin yan 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2012年第2期184-203,共20页
This paper optimizes the electricity and renewable energy credit (REC) purchasing process for energy distribution. Electricity is traded in deregulated time-sequential markets at fluctuating prices. Optimal electric... This paper optimizes the electricity and renewable energy credit (REC) purchasing process for energy distribution. Electricity is traded in deregulated time-sequential markets at fluctuating prices. Optimal electricity purchasing under price and demand uncertainty is a challenging task for electricity distributors, and the recently implemented renewable portfolio standards (RPS) further complicate the purchasing process. Government regulatory decisions concerning the RPS require distributors to purchase corresponding certificates, namely RECs, equivalent to a certain percentage of their electricity sales. This paper formulates and optimizes the joint purchasing process for electricity and RECs. It also analyzes the effect of RPS policy on electricity distributors. 展开更多
关键词 Renewable energy credit information update dynamic programming
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Optimal structure of joint inventory-pricing management with dual suppliers and different lead times 被引量:2
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作者 Xiaoyi Feng yangyang Xie +1 位作者 Shouyang Wang houmin yan 《Journal of Management Science and Engineering》 2021年第1期1-24,共24页
We consider a joint inventory-pricing control problem in a single-product,periodic-review,dual-supplier inventory system.The two suppliers have different lead times.One expedited supplier offers instantaneous replenis... We consider a joint inventory-pricing control problem in a single-product,periodic-review,dual-supplier inventory system.The two suppliers have different lead times.One expedited supplier offers instantaneous replenishment,and one regular supplier requires an L-period lead time for delivery.The supply quantity is stochastic and the demand is price-dependent.For the expedited inventory replenishment,we characterize the optimal policy as a state-dependent almost-threshold policy by extending the stochastically linear in mid-point to a multidimensional setting.To investigate the optimal regular inventory replenishment and pricing policy,we propose the notions of partially stochastic translation(PST)and increasing partially stochastic translation(IPST),which help in obtaining the antimultimodularity preservation in dynamic programming problems.We provide properties,sufficient conditions,and examples for PST and IPST functions.By applying PST and IPST,we obtain the antimultimodularity of the profit functions.The antimultimodular profit functions ensure that the optimal regular ordering quantity and the optimal price are monotone in the current inventory level and outstanding order quantities.Moreover,we reveal that as the time interval increases,the effects of previous outstanding orders on the optimal regular ordering and pricing decisions are decreasing and increasing,respectively.PST and IPST also enable us to further characterize the optimal expedited ordering quantity as decreasing in the inventory level.However,the optimal expedited ordering quantity can be non-monotone with respect to the outstanding order quantities,as shown in the example. 展开更多
关键词 Inventory-pricing control Dual supply Lead time Antimultimodularity
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