scholarly journals Risk-Based Two-Stage Stochastic Optimization Problem of Micro-Grid Operation with Renewables and Incentive-Based Demand Response Programs

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 610 ◽  
Author(s):  
Pouria Sheikhahmadi ◽  
Ramyar Mafakheri ◽  
Salah Bahramara ◽  
Maziar Damavandi ◽  
João Catalão
Keyword(s):  
Stochastic Optimization ◽  
Demand Response ◽  
Optimization Problem ◽  
Two Stage ◽  
Stochastic Optimization Problem ◽  
Micro Grid ◽  
Grid Operation ◽  
Demand Response Programs

scholarly journals A Stochastic-CVaR Optimization Model for CCHP Micro-Grid Operation with Consideration of Electricity Market, Wind Power Accommodation and Multiple Demand Response Programs

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3983 ◽  
Author(s):  
Wang ◽  
Yang ◽  
Tang ◽  
Sun ◽  
Zhao
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Electricity Market ◽  
Optimization Model ◽  
Cost Minimization ◽  
Utilization Efficiency ◽  
Operational Cost ◽  
Micro Grid ◽  
Grid Operation ◽  
Demand Response Programs

Combined cooling, heating and power (CCHP) micro-grids have the advantage of high energy efficiency, and can be integrated with renewable energies and demand response programs (DRPs). With the deepening of electricity market (EM) reforms, how to carry out operation optimization under EM circumstances will become a key problem for CCHP micro-grid development. This paper proposed a stochastic-CVaR (conditional value at risk) optimization model for CCHP micro-grid operation with consideration of EM participation, wind power accommodation and multiple DRPs. Specifically, based on the stochastic scenarios for EM clearing prices and wind power outputs uncertainties, the stochastic optimization method was applied to ensure the realization of operational cost minimization and wind power accommodation; the CVaR method was implemented to control the potential risk of operational cost increase. Moreover, by introducing multiple DRPs, the electrical, thermal and cooling loads can be transformed as flexible sources for CCHP micro-grid operation. Simulations were performed to show the following outcomes: (1) by applying the proposed stochastic-CVaR approach and considering multiple DRPs, CCHP micro-grid operation can reach better performance in terms of cost minimization, risk control and wind power accommodation etc.; (2) higher energy utilization efficiency can be achieved by coordinately optimizing EM power biddings; etc.

scholarly journals Strategies for Datacenters Participating in Demand Response by Two-Stage Decisions

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Yuling Li ◽  
Xiaoying Wang ◽  
Peicong Luo
Keyword(s):  
Smart Grid ◽  
Demand Response ◽  
Smart Grids ◽  
Peak Load ◽  
Two Stage ◽  
The Sustainable Development ◽  
Second Stage ◽  
Potential Demand ◽  
Electricity Costs ◽  
Demand Response Programs

Modern smart grids have proposed a series of demand response (DR) programs and encourage users to participate in them with the purpose of maintaining reliability and efficiency so as to respond to the sustainable development of demand-side management. As a large load of the smart grid, a datacenter could be regarded as a potential demand response participant. Encouraging datacenters to participate in demand response programs can help the grid to achieve better load balancing effect, while the datacenter can also reduce its own power consumption so as to save electricity costs. In this paper, we designed a demand response participation strategy based on two-stage decisions to reduce the total cost of the datacenter while considering the DR requirements of the grid. The first stage determines whether to participate in demand response by predicting real-time electricity prices of the power grid and incentive information will be sent to encourage users to participate in the program to help shave the peak load. In the second stage, the datacenter interacts with its users by allowing users to submit bid information by reverse auction. Then, the datacenter selects the tasks of the winning users to postpone processing them with awards. Experimental results show that the proposed strategy could help the datacenter to reduce its cost and effectively meet the demand response requirements of the smart grid at the same time.

scholarly journals Optimizing Green Computing Awareness for Environmental Sustainability and Economic Security as a Stochastic Optimization Problem

2017 ◽  
Vol 9 (10) ◽  
pp. 1857 ◽  
Author(s):  
Emmanuel Okewu ◽  
Sanjay Misra ◽  
Rytis Maskeliūnas ◽  
Robertas Damaševičius ◽  
Luis Fernandez-Sanz
Keyword(s):  
Stochastic Optimization ◽  
Environmental Sustainability ◽  
Optimization Problem ◽  
Economic Security ◽  
Green Computing ◽  
Stochastic Optimization Problem
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