基于协作频谱感知的智能电网需求响应研究

Research on smartgrid demand response based on cooperation spectrum sensing

频谱感知是认知无线电的关键技术之一,针对单节点信号检测易受路径损耗、阴影效应和多径衰落的影响,提出采用多节点协作频谱感知技术提高通信质量和动态需求响应系统性能。现有的研究考虑频谱感知带来的开销都是用一个简单的凸函数表示,不够直观,为此将感知开销具体化为能量消耗和时延,同时分析了频谱感知与动态需求响应之间的关系。对于需求响应和感知开销之间的权衡问题,采用遗传算法(GA)求解。实验结果表明存在一个最优的感知时间使通信时延最小,同时系统的净收益与感知开销存在最优平衡;采用遗传算法得到最优解集利于决策者根据需求做出最佳选择。

Spectrum sensing is one of the key technologies of cognitive radio.Aiming at single-node signal detection that is susceptible to path loss,shadow effects and multipath fading.Multi-node cooperative spectrum sensing technology is proposed to improve communication quality and dynamic demand response system performance.Existing studies consider that the spectrum sensing cost is represented by a simple convex function,which is not intuitive enough.For this reason,the sensing cost is embodied as energy consumption and delay,and the relationship between spectrum sensing and dynamic demand response is analyzed.The trade-off between demand response and perceived cost is solved by genetic algorithm(GA).The experimental results show that there is an optimal perception time to minimize the communication delay,and there is an optimal trade-off between the net income of the system and the sensing-dependent cost.Genetic algorithm facilitate decision-makers is benefit to choose the best option according to requirements.