scholarly journals Research on Multi-Timescale Coordinated Method for Source-Grid-Load with Uncertain Renewable Energy Considering Demand Response

2021 ◽  
Vol 13 (6) ◽  
pp. 3400
Author(s):  
Jia Ning ◽  
Sipeng Hao ◽  
Aidong Zeng ◽  
Bin Chen ◽  
Yi Tang
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Demand Response ◽  
System Operation ◽  
Real Time Scheduling ◽  
High Penetration ◽  
Time Scheduling ◽  
Grid Load ◽  
Grid Side ◽  
Scheduling Models

The high penetration of renewable energy brings great challenges to power system operation and scheduling. In this paper, a multi-timescale coordinated method for source-grid-load is proposed. First, the multi-timescale characteristics of wind forecasting power and demand response (DR) resources are described, and the coordinated framework of source-grid-load is presented under multi-timescale. Next, economic scheduling models of source-grid-load based on multi-timescale DR under network constraints are established in the process of day-ahead scheduling, intraday scheduling, and real-time scheduling. The loads are classified into three types in terms of different timescale. The security constraints of grid side and time-varying DR potential are considered. Three-stage stochastic programming is employed to schedule resources of source side and load side in day-ahead, intraday, and real-time markets. The simulations are performed in a modified Institute of Electrical and Electronics Engineers (IEEE) 24-node system, which shows a notable reduction in total cost of source-grid-load scheduling and an increase in wind accommodation, and their results are proposed and discussed against under merely two timescales, which demonstrates the superiority of the proposed multi-timescale models in terms of cost and demand response quantity reduction.

scholarly journals Load Aggregator-Based Integrated Demand Response for Residential Smart Energy Hubs

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Wenjie Lv ◽  
Jian Wu ◽  
Zhao Luo ◽  
Min Ding ◽  
Xiang Jiang ◽  
...  
Keyword(s):  
Real Time ◽  
Demand Response ◽  
Noncooperative Game ◽  
Real Time Scheduling ◽  
Maximal Profit ◽  
Time Scheduling ◽  
Flexible Loads ◽  
Flexible Resource

In order to attract more flexible resource to take part in integrated demand response (IDR), this can be realized by introducing load aggregator-based framework. In this paper, based on residential smart energy hubs (S.E. Hubs), a two-level IDR framework is proposed, in which S.E. Hub operators play the role of load aggregators. The framework includes day-ahead bidding and real-time scheduling. In day-ahead bidding, S.E. Hub operators have to compete dispatching amount for maximal profit; hence, noncooperative game approach is formulated to describe the competition behavior among operators. In real-time scheduling, the dispatching model is formulated to minimize the error between real-time scheduling amount and bidding amount. Moreover, in order to reduce the influence of IDR on residential users, 4 categories of users’ flexible loads are modeled according to load consumption characteristic, and then these models are considered as the constraints in real-time scheduling. A case study is designed to validate the effectiveness of the proposed two-level IDR framework. And simulation results confirm that smart grid, S.E. Hub operators, and residential users can benefit simultaneously.

scholarly journals Optimal Dispatch of Multi-Energy Integrated Micro-Energy Grid: A Model Predictive Control Method

2021 ◽  
Vol 9 ◽  
Author(s):  
Xurui Huang ◽  
Bo Yang ◽  
Fengyuan Yu ◽  
Jun Pan ◽  
Qin Xu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Real Time ◽  
Control Method ◽  
Energy System ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Real Time Scheduling ◽  
Optimal Dispatch ◽  
Time Scheduling ◽  
Energy Grid

In order to reduce the impacts caused by large-scale renewable energy resources accessing the utility grid, the micro-energy grid system, as a natural extension of the microgrid in the energy internet era, is proposed and developed to provide a new solution for the optimal utilization of renewable energy resources. In this paper, a multi-energy integrated micro-energy system is proposed which contains wind, PV, bedrock energy storage, magnetic levitation electric refrigeration, solid oxide fuel cell, solar thermal collector, energy storage, and V2G technologies, and detailed models of the energy generation/conversion/storage devices are formulated. Besides this, the uncertainties of renewable energy resources and cold/heat/electricity loads are considered, and the optimal dispatch problem of the micro-energy system is established from day-ahead and real-time time scales based on a model predictive control method. The day-ahead optimal scheduling aims at economic optimization and guides real-time scheduling, and real-time scheduling utilizes rolling optimization and a feedback correction mechanism to effectively correct the deviation of renewable energy generations and loads at a real-time horizon, which improves the optimization control accuracy, follows the day-ahead dispatch plan, and ensures the economics of real-time scheduling at the same time.

Real-Time Scheduling of Demand Response Options Considering the Volatility of Wind Power Generation

2019 ◽  
Vol 10 (4) ◽  
pp. 1633-1643 ◽  
Author(s):  
Saber Talari ◽  
Miadreza Shafie-khah ◽  
Yue Chen ◽  
Wei Wei ◽  
Pedro D. Gaspar ◽  
...  
Keyword(s):  
Power Generation ◽  
Real Time ◽  
Wind Power ◽  
Demand Response ◽  
Wind Power Generation ◽  
Response Options ◽  
Real Time Scheduling ◽  
Time Scheduling
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