Robust unit commitment with high penetration of renewable energy based on demand response and power consumption contract of electrical vehicles

2016 ◽  
Author(s):  
Qihang Li ◽  
Yongxin Su ◽  
Weiqi Nie ◽  
Mao Tan
Keyword(s):  
Renewable Energy ◽  
Power Consumption ◽  
Demand Response ◽  
Unit Commitment ◽  
On Demand ◽  
High Penetration ◽  
Electrical Vehicles

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.

Demand Response Management by Rolling Unit Commitment for High Renewable Energy Penetration

2018 ◽  
Author(s):  
Emmanouil A. Bakirtzis ◽  
Ilias G. Marneris ◽  
Stylianos I. Vagropoulos ◽  
Pandelis N. Biskas ◽  
Anastasios G. Bakirtzis
Keyword(s):  
Renewable Energy ◽  
Demand Response ◽  
Unit Commitment

scholarly journals Reliability Constrained Unit Commitment Considering the Effect of DG and DR Program

2018 ◽  
Vol 8 (4) ◽  
pp. 1985
Author(s):  
Masoud Aliakbari ◽  
Pouria Maghouli ◽  
Habib Allah Aalami
Keyword(s):  
Power System ◽  
Distributed Generation ◽  
Demand Response ◽  
Unit Commitment ◽  
Load Flow ◽  
Complex Nature ◽  
Binary Particle Swarm Optimization ◽  
Energy Prices ◽  
Economic Operation ◽  
High Penetration

Due to increase in energy prices at peak periods and increase in fuel cost, involving Distributed Generation (DG) and consumption management by Demand Response (DR) will be unavoidable options for optimal system operations. Also, with high penetration of DGs and DR programs into power system operation, the reliability criterion is taken into account as one of the most important concerns of system operators in management of power system. In this paper, a Reliability Constrained Unit Commitment (RCUC) at presence of time-based DR program and DGs integrated with conventional units is proposed and executed to reach a reliable and economic operation. Designated cost function has been minimized considering reliability constraint in prevailing UC formulation. The UC scheduling is accomplished in short-term so that the reliability is maintained in acceptable level. Because of complex nature of RCUC problem and full AC load flow constraints, the hybrid algorithm included Simulated Annealing (SA) and Binary Particle Swarm Optimization (BPSO) has been proposed to optimize the problem. Numerical results demonstrate the effectiveness of the proposed method and considerable efficacy of the time-based DR program in reducing operational costs by implementing it on IEEE-RTS79.

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