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The Multi-objective Medium and Short-term Trade Planning correction for Environmental Protection and Demand Response

机译:环境保护与需求响应的多目标中短期贸易计划修正

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摘要

Traditional trading methods are based on the integrated optimization problems of economy and environmental protection, but do not consider the effects on demand-side. A revised model for medium and shortterm trade planning is presented in this paper. It firstly forecasts the industry electric quantity of peak, flat, valley monthly on the demand side using the parameter-modified grey model and consider the minimum of power purchase cost, environmental protection and the network loss to determine the generation Scheduling. With the fluctuation of electricity price, the price elasticity matrix computes the new industry electric quantity of peak, flat, valley monthly and gets the revision trade planning of the month. Then it gives the penalty cost, when the correction value reaches a certain level the electricity price will change with it, thus influence the trade planning by impact on the all-network power purchase cost. It can be used as an auxiliary decision-making for the trading center.
机译:传统的交易方法基于经济和环境保护的综合优化问题,但没有考虑对需求方的影响。本文提出了一个修订的中短期贸易计划模型。首先使用参数修正的灰色模型预测需求侧每月的高峰,平坦,谷值的工业电量,并考虑购电成本,环境保护和网络损耗的最小值,以确定发电调度。随着电价的波动,价格弹性矩阵每月计算高峰,平坦,低谷的新产业电量,并得到当月的修正交易计划。然后给出惩罚成本,当校正值达到一定水平时,电价将随之变化,从而通过影响全网购电成本来影响交易计划。它可以用作交易中心的辅助决策。

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