scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

A review of multi-criteria decision making approaches for evaluating energy storage systems for grid applications

2019 ◽  
Vol 107 ◽  
pp. 516-534 ◽  
Author(s):  
Manuel Baumann ◽  
Marcel Weil ◽  
Jens F. Peters ◽  
Nelson Chibeles-Martins ◽  
Antonio B. Moniz
Keyword(s):  
Decision Making ◽  
Energy Storage ◽  
Storage Systems ◽  
Multi Criteria Decision Making ◽  
Energy Storage Systems ◽  
Grid Applications

scholarly journals Uncertainty Costs Optimization of Residential Solar Generators Considering Intraday Markets

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2826
Author(s):  
Julian Garcia-Guarin ◽  
David Alvarez ◽  
Sergio Rivera
Keyword(s):  
Monte Carlo ◽  
Energy Storage ◽  
Monte Carlo Simulations ◽  
Electric Vehicles ◽  
Demand Response ◽  
Storage Systems ◽  
Black Box ◽  
Photovoltaic Generation ◽  
Auction Markets ◽  
Solar Generation

The uncertainty of solar generation and the bull market are unavoidable in energy dispatch. The purpose of this research is to validate an uncertainty cost function of residential photovoltaic energy in a real microgrid by varying the number of auctions in intraday markets. Therefore, the following procedure is proposed. First, the variability of photovoltaic generation is quantified through Monte Carlo simulations. Second, a statistical function calculates the variability costs of photovoltaic generation. Third, the uncertainty costs are estimated by varying intraday auction markets. Other complementary services are added to the network, such as battery exchange stations for electric vehicles, demand response loads, market power restrictions, and energy storage systems, which are estimated as total costs in an index ranking. The total costs are optimized in a benchmark microgrid and take complimentary services as a black box. Only the uncertainty costs of residential solar generators are discriminated. The main findings were that (1) the uncertainty costs have an error of less than 0.0168% compared to the Monte Carlo simulations and that (2) the uncertainty costs of solar generation are reduced with a decreasing trend to a more significant number of auction markets in intraday markets.

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