The Impact of Distributed Energy Resources on Incumbent Utilities: A Case Study of Long Island, New York

2016 ◽  
Author(s):  
Richard D. Tabors ◽  
Hua He ◽  
Michael Birk
Keyword(s):  
New York ◽  
Long Island ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
The Impact

Main features of an aggregator’s platform for the management of distributed energy resources – PASCAL project case study

2020 ◽  
Author(s):  
Giuseppe Marco Tina ◽  
Salvatore Cavalieri ◽  
Gian Giuseppe Soma ◽  
Gianni Viano ◽  
Sebastiano De Fiore ◽  
...  
Keyword(s):  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy

scholarly journals Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources

2021 ◽  
Vol 13 (13) ◽  
pp. 7119
Author(s):  
Abbas Rabiee ◽  
Ali Abdali ◽  
Seyed Masoud Mohseni-Bonab ◽  
Mohsen Hazrati
Keyword(s):  
Electrical Energy ◽  
High Energy ◽  
Combined Heat And Power ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Solar Pv ◽  
Distributed Energy ◽  
Robust Scheduling ◽  
Battery Energy ◽  
The Impact

In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional power generation as well as boiler units, fuel cells, CHPs, wind turbines, solar PVs, heat storage units, and battery energy storage systems (BESS) as the set of distributed energy resources (DERs). Additionally, a demand response program (DRP) model is considered which has a successful performance in the microgrid hourly scheduling. One of the goals of CHP-based microgrid scheduling is to provide both thermal and electrical energy demands of the consumers. Additionally, the other objective is to benefit from the revenues obtained by selling the surplus electricity to the main grid during the high energy price intervals or purchasing it from the grid when the price of electricity is low at the electric market. Hence, in this paper, a robust scheduling approach is developed with the aim of maximizing the total profit of different energy suppliers in the entire scheduling horizon. The employed IGDT technique aims to handle the impact of uncertainties in the power output of wind and solar PV units on the overall profit.

Agent-Based Electricity Balancing with Distributed Energy Resources,  A Multiperspective Case Study

2008 ◽  
Author(s):  
Koen Kok ◽  
Zsofia Derzsi ◽  
Jaap Gordijn ◽  
Maarten Hommelberg ◽  
Cor Warmer ◽  
...  
Keyword(s):  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Agent Based

A non-cooperative game based energy management considering distributed energy resources in price-based and incentive-based demand response program

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Monika Gaba ◽  
Saurabh Chanana
Keyword(s):  
Energy Management ◽  
Cooperative Game ◽  
Demand Response ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Energy Storage Devices ◽  
Electricity Cost ◽  
Distributed Approach ◽  
The Impact

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.

scholarly journals Methods for Aggregation and Remuneration of Distributed Energy Resources

2018 ◽  
Vol 8 (8) ◽  
pp. 1283 ◽  
Author(s):  
Pedro Faria ◽  
João Spínola ◽  
Zita Vale
Keyword(s):  
Power Systems ◽  
Energy Resource ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Technical Operation ◽  
Made In

Distributed energy resource integration in power systems has advantages and challenges in both the economic and the technical operation of the system. An aggregator, as in the case of a Virtual Power Player, is essential in order to support the operation of these small size resources. Innovative approaches capable of supporting the decisions made in terms of resource scheduling, aggregation and remuneration are needed. The present paper addresses a methodology capable of managing resources through the activities of an aggregator, providing different choices of aggregation and remuneration strategies. The methodology is validated in a case study regarding a 21-bus network, composed of 20 consumers and 26 producers.

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