Titlebook: Business Models and Reliable Operation of Virtual Power Plants; Heping Jia,Xuanyuan Wang,Dunnan Liu Book 2023 The Editor(s) (if applicable

Engaging

Medical Benefit and the Human Lotteryring the differences of time series characteristics and influencing factors of different types of charging load of EVs, a forecasting model of charging load for EVs considering daily type, maximum and minimum temperature is established. Fuzzy C-means (FCM) is used to cluster the charging load, where

消息靈通

tangle

Chance and the Challenge of Living,sponse (DR) modeling approach for VPPsconsidering comfort of consumers is proposed. The power supply output model andthe load DR model based on the peak and valley time tariffs are established.The operating cost optimization model of VPPs with the consideration of comfortconstraints is proposed base

情感

Medical Utility Judgements and Rights,dispatching schemes of VPPs in the auxiliary service market to improve thecapacity of VPPs, realize economic dispatching, and promote the resourceutilization of VPPs, where the conditional value at risk (CVaR) method is usedto determine the coordinated energy storage capacity and efficiency of VPPs

贊美者

https://doi.org/10.1007/978-1-4020-2973-8from providing services for power systems, thus promoting the awakening responsiveness of DERs. A dynamic pricing strategy is presented in this chapter based on deep deterministic policy gradient (DDPG) reinforcement learning algorithm, with the objective of maximizing the combined benefits in the f

fluoroscopy

Patient Selection and Medical Utility,rengagement performance, random failures of ICS, and other complications due tothe diversity of load types can affect the system operation indirectly. In thischapter, the reliability network equivalent (RNE) technique is applied incombination with time-sequential simulation (TSS) technique to study

可觸知

https://doi.org/10.1385/1592598706al hierarchical decentralized control infrastructures, taking cyber network and communication failures into account. The capacity of the operating reserves provided by VPPs is presented considering the stochastic behavior characteristics of DERs. A wind power generation system is added to the conven

小口啜飲

capillaries

Short-term Load Forecasting for DERs Based on CNN-LSTM with Attention Mechanism, This chapter proposes an algorithm combined convolutional neural network (CNN) and long short-term memory (LSTM) with attention mechanism to forecast short-term load of DERs which are aggregated in VPPs. The proposed algorithm can reduce the loss of historical information and realize short-term loa

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