Stochastic Multi-objective Bi-level Optimization Model for Operation of Active Distribution System with Demand Response

Tanuj Rawat, Jyotsna Singh, Sachin Sharma, K. R. Niazi
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Abstract

In this work, a multi-objective (MO) bi-level (BL) model for interaction between distribution system operator (DSO) and demand response (DR) aggregators is developed. In the upper level, the objectives of DSO are to jointly optimize its profit and energy not supplied (ENS) while maximizing profit is the objective at lower level from DR aggregator’s perspective. The upper level MO problem is transformed into a single objective optimization using $\epsilon$-constraint method. And, the BL problem is converted into a single level structure using Karush-Kuhn-Tucker (KKT) conditions and strong duality theorem. In addition, stochastic AC power flow is applied to address uncertain natures of grid electricity prices, inflexible load demand and power from wind and solar respectively. Numerical results on a modified 33-bus distribution system demonstrate the effectiveness of the proposed bi-level approach.
考虑需求响应的主动配电系统运行随机多目标双层优化模型
本文建立了配电系统运营商(DSO)与需求响应聚合器(DR)相互作用的多目标双层次(BL)模型。在上层,DSO的目标是共同优化其利润和无供给能源(ENS),而在下层,从DR聚合器的角度来看,利润最大化是目标。采用$\epsilon$约束方法将上层MO问题转化为单目标优化问题。利用KKT条件和强对偶定理将BL问题转化为单层结构。此外,将随机交流潮流分别用于解决电网电价的不确定性、负荷需求的不灵活性以及风能和太阳能发电的不确定性。对一个改进的33总线配电系统的数值计算结果表明了该双层次方法的有效性。
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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