Optimal dispatch of integrated energy systems considering integrated demand response and stepped carbon trading

IF 1.9 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Xianglei Ye, Zhenya Ji, Jinxing Xu, Xiaofeng Liu
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引用次数: 3

Abstract

The integrated energy system is an effective way to achieve carbon neutrality. To further exploit the carbon reduction potentials of IESs, an optimal dispatch strategy that considers integrated demand response and stepped carbon trading is proposed. First, an integrated demand response (IDR) pricing approach is proposed based on the characteristics of different load types. Classify multi-energy loads into curtailable and substitutable loads, and incentivize both loads through a price elasticity matrix and low-price energy in the same period. Then, to better incentivize IESs to reduce carbon emissions, a stepped pricing mechanism was introduced in the carbon price. Finally, an optimal dispatch model is developed with an objective function that minimizes the sum of energy purchase cost, carbon trading cost, and operation and maintenance (O&M) cost. Considering the high-dimensional and non-linear characteristics of the model, an improved differential evolution (DE) algorithm is introduced in this paper. In addition, this paper also analyzes the effects of the stepped carbon trading parameters on the optimal dispatching results of the system in terms of carbon trading base price, carbon emission interval length, and carbon price growth rate. Compared to the case of adopting a single IDR model or a single stepped carbon trading, carbon emissions from the IESs decreased by 6.28% and 3.24%, respectively, while total operating costs decreased by 1.24% and 0.92%, The results show that the model proposed in this paper has good environmental and economic benefits, and the reasonable setting of stepped carbon trading parameters can effectively promote the low-carbon development of IESs.
考虑综合需求响应和阶梯碳交易的综合能源系统优化调度
综合能源系统是实现碳中和的有效途径。为了进一步挖掘IES的碳减排潜力,提出了一种考虑综合需求响应和阶梯式碳交易的最优调度策略。首先,根据不同负荷类型的特点,提出了一种综合需求响应定价方法。将多能源负荷分为可削减负荷和可替代负荷,并通过价格弹性矩阵和同期低价能源激励这两种负荷。然后,为了更好地激励IES减少碳排放,在碳价格中引入了阶梯式定价机制。最后,开发了一个具有目标函数的最优调度模型,该模型使能源购买成本、碳交易成本和运营维护成本之和最小化。考虑到模型的高维和非线性特性,本文提出了一种改进的微分进化算法。此外,本文还从碳交易基准价格、碳排放区间长度和碳价格增长率等方面分析了阶梯式碳交易参数对系统最优调度结果的影响。与采用单一IDR模型或单步碳交易的情况相比,IES的碳排放量分别下降了6.28%和3.24%,而总运营成本分别下降了1.24%和0.92%。结果表明,本文提出的模型具有良好的环境和经济效益,合理设置阶梯式碳交易参数可以有效促进IES的低碳发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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