Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various ...Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users,the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies.For this purpose,a power grid-flexible load bilevel model is constructed based on dynamic pricing,where the leader is the dispatching center and the lower-level flexible load acts as the follower.Initially,an upper-level day-ahead dispatching model for the power grid is established,considering the lowest power grid dispatching cost as the objective function and incorporating the power grid-side constraints.Then,the lower level comprehensively considers the load characteristics of industrial load,energy storage,and data centers,and then establishes a lower-level flexible load operation model with the lowest user power-consuming cost as the objective function.Finally,the proposed method is validated using the IEEE-118 system,and the findings indicate that the dynamic pricing mechanism for peaking shaving and valley filling can effectively guide users to respond actively,thereby reducing the peak-valley difference and decreasing users’purchasing costs.展开更多
可再生能源出力的波动性、间歇性、用户电力负荷的随机不确定性,使微电网的能量调度极具挑战性.为此,该文提出激励竞争双深度Q网络(motivation dueling double deep Q-network,简称MD3QN)算法,对微电网能量进行协调优化.仿真分析结果表...可再生能源出力的波动性、间歇性、用户电力负荷的随机不确定性,使微电网的能量调度极具挑战性.为此,该文提出激励竞争双深度Q网络(motivation dueling double deep Q-network,简称MD3QN)算法,对微电网能量进行协调优化.仿真分析结果表明:采用MD3QN算法对微电网进行能量调度,能实现削峰填谷,使微电网的经济效益最大化;相对于其他4种算法,MD3QN算法具有更高的综合性能.因此,MD3QN算法具有有效性.展开更多
需求响应(DR)是利用价格信号和激励机制来保证电力系统安全可靠和经济运行的重要措施。传统价格激励在所有时间段的激励作用是一致的,可能导致对某个特定时间段的预测精度不够。研究了需求价格弹性矩阵(Price Elasticity Matrix of Dema...需求响应(DR)是利用价格信号和激励机制来保证电力系统安全可靠和经济运行的重要措施。传统价格激励在所有时间段的激励作用是一致的,可能导致对某个特定时间段的预测精度不够。研究了需求价格弹性矩阵(Price Elasticity Matrix of Demand,PEMD),提出了一种基于弹性效应权重的改进价格弹性矩阵模型。该模型的优势在于能将刚性荷载和柔性荷载统一起来,将不同时间段对其他时间段价格影响分别设定权重。还提出了由电价政策和负荷类型决定的价格弹性矩阵结构和计算方法,利用遗传算法求解出分时电价的决策模型。最后通过仿真验证该模型的有效性,结果表明该方法可以削减峰值用电量4.23%,提升谷值用电量4.86%。展开更多
基金supported in part by Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.,China,under Grant J2022011.
文摘Considering the widening of the peak-valley difference in the power grid and the difficulty of the existing fixed time-of-use electricity price mechanism in meeting the energy demand of heterogeneous users at various moments or motivating users,the design of a reasonable dynamic pricing mechanism to actively engage users in demand response becomes imperative for power grid companies.For this purpose,a power grid-flexible load bilevel model is constructed based on dynamic pricing,where the leader is the dispatching center and the lower-level flexible load acts as the follower.Initially,an upper-level day-ahead dispatching model for the power grid is established,considering the lowest power grid dispatching cost as the objective function and incorporating the power grid-side constraints.Then,the lower level comprehensively considers the load characteristics of industrial load,energy storage,and data centers,and then establishes a lower-level flexible load operation model with the lowest user power-consuming cost as the objective function.Finally,the proposed method is validated using the IEEE-118 system,and the findings indicate that the dynamic pricing mechanism for peaking shaving and valley filling can effectively guide users to respond actively,thereby reducing the peak-valley difference and decreasing users’purchasing costs.
文摘可再生能源出力的波动性、间歇性、用户电力负荷的随机不确定性,使微电网的能量调度极具挑战性.为此,该文提出激励竞争双深度Q网络(motivation dueling double deep Q-network,简称MD3QN)算法,对微电网能量进行协调优化.仿真分析结果表明:采用MD3QN算法对微电网进行能量调度,能实现削峰填谷,使微电网的经济效益最大化;相对于其他4种算法,MD3QN算法具有更高的综合性能.因此,MD3QN算法具有有效性.
文摘需求响应(DR)是利用价格信号和激励机制来保证电力系统安全可靠和经济运行的重要措施。传统价格激励在所有时间段的激励作用是一致的,可能导致对某个特定时间段的预测精度不够。研究了需求价格弹性矩阵(Price Elasticity Matrix of Demand,PEMD),提出了一种基于弹性效应权重的改进价格弹性矩阵模型。该模型的优势在于能将刚性荷载和柔性荷载统一起来,将不同时间段对其他时间段价格影响分别设定权重。还提出了由电价政策和负荷类型决定的价格弹性矩阵结构和计算方法,利用遗传算法求解出分时电价的决策模型。最后通过仿真验证该模型的有效性,结果表明该方法可以削减峰值用电量4.23%,提升谷值用电量4.86%。
