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针对预测技术难以准确获取实际的可再生能源出力和负荷大小，其随机性影响微电网控制策略及用户经济性的问题，基于含光伏系统、储能系统和负荷的并网型微电网，考虑分时电价和需量管理，以用户日电费成本最低为目标函数，建立一种需量管理捆绑峰谷套利的微电网日前优化调度模型。基于该模型，计及光伏出力和负荷的波动性，提出基于信息间隙决策理论（Information Gap Decision Theory，IGDT）的微电网多目标鲁棒优化调度模型，制订具有鲁棒性的调度方案，并研究预设目标成本与光伏出力及负荷波动区间的定量关系。利用ε-约束方法刻画多目标问题的Pareto有效前沿，运用模糊满意度理论确定Pareto解集中的折中解，为运行人员提供合理的鲁棒决策方案。通过对某工业微电网进行仿真，并与蒙特卡洛法对比分析，验证了所建模型的可行性和有效性。
Abstract：It is difficult to accurately obtain the renewable energy output and load based on the prediction technology. The randomness has a profound impact on the control strategy of micro-grid and the economy of users. For the grid connected micro-grid with photovoltaic system, energy storage system and load, a micro-grid day-ahead optimal scheduling model with demand management and bundled with peak-valley arbitrage is established, the objective function of which is the lowest daily electricity payment. Based on this model, taking into account the fluctuation of photovoltaic output and load, a multi-objective robust optimal scheduling model of micro-grid based on information gap decision theory (IGDT) is proposed to provide robust strategies, and study the quantitative relationship between preset target cost and photovoltaic output and load fluctuation range. The ε-constraint method is proposed to depict Pareto efficient frontier of multi-objective problem. Besides, the fuzzy satisfaction theory is used to determine the compromise solution of Pareto solution set, which provides a reasonable decision-making basis for operators. Compared with Monte Carlo method, simulation results on the micro-grid in an industrial park verify that the proposed model is feasible and effective.
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基本信息:
DOI：10.19929/j.cnki.nmgdljs.2022.0085
中图分类号:
引用信息:
[1]江南1,朱双涛1,孙志刚1等.基于信息间隙决策理论的微电网多目标鲁棒优化调度[J].内蒙古电力技术,2022(05):73-79.DOI:10.19929/j.cnki.nmgdljs.2022.0085.
基金信息: