A Market Based Scheme to Integrate Distributed Wind Energy

Ding, Zongrui; Guo, Yuanxiong; Wu, Dapeng; Fang, Yuguang

doi:10.1109/tsg.2012.2230278

Cited by 27 publications

(10 citation statements)

References 13 publications

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“…Users with excess generation receive the information Algorithm 1 Load Scheduling and Power Trading Algorithm Executed at Each Time Slot t ∈ for User u ∈ U 1: Update the list of the appliances that are to be scheduled. 2: Schedule the appliances as in (13) and (14). 3: if there is excess generation 4: repeat 5: Receive offers of other users O −u t .…”

Section: Algorithm Descriptionmentioning

confidence: 99%

“…Furthermore, users can sell their excess generation at a smaller scale, e.g., within a microgrid. Different DSM programs have been designed to facilitate the integration of RERs into the power grid, and the impact of different decision makers on the electricity market has been studied [14]- [23]. Most of the existing work in the literature considers the case where users can sell their excess generation back to the grid [21]- [23].…”

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confidence: 99%

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Load Scheduling and Power Trading in Systems With High Penetration of Renewable Energy Resources

Samadi

Wong

Schober

2016

IEEE Trans. Smart Grid

198

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In this paper, we focus on the problems of load scheduling and power trading in systems with high penetration of renewable energy resources (RERs). We adopt approximate dynamic programming to schedule the operation of different types of appliances including must-run and controllable appliances. We assume that users can sell their excess power generation to other users or to the utility company. Since it is more profitable for users to trade energy with other users locally, users with excess generation compete with each other to sell their respective extra power to their neighbors. A game theoretic approach is adopted to model the interaction between users with excess generation. In our system model, each user aims to obtain a larger share of the market and to maximize its revenue by appropriately selecting its offered price and generation. In addition to yielding a higher revenue, consuming the excess generation locally reduces the reverse power flow, which impacts the stability of the system. Simulation results show that our proposed algorithm reduces the energy expenses of the users. The proposed algorithm also facilitates the utilization of RERs by encouraging users to consume excess generation locally rather than injecting it back into the power grid.Index Terms-Approximate dynamic programming, demand side management (DSM), load scheduling, power trading.

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Section: Algorithm Descriptionmentioning

confidence: 99%

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confidence: 99%

Load Scheduling and Power Trading in Systems With High Penetration of Renewable Energy Resources

Samadi

Wong

Schober

2016

IEEE Trans. Smart Grid

198

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“…D ISTRIBUTED energy resources (DERs) including DGs, flexible loads and energy storage systems (ESSs) have been observed to proliferate and eventually take up a remarkable share in distribution-level networks [1]- [4]. In order to efficiently adopt DERs and properly evaluate their potential impacts, importance should be attached to the trading framework of DERs [5].…”

Section: Introductionmentioning

confidence: 99%

A Local Energy Market for Electricity and Hydrogen

Xiao

Wang

Pinson

et al. 2018

IEEE Trans. Power Syst.

127

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The proliferation of distributed energy resources entails efficient market mechanisms in distribution-level networks. This paper establishes a local energy market (LEM) framework in which electricity and hydrogen are traded. Players in the LEM consist of renewable distributed generators (DGs), loads, hydrogen vehicles (HVs), and a hydrogen storage system (HSS) operated by a HSS agent (HSSA). An iterative LEM clearing method is proposed based on the merit order principle. Players submit offers/bids with consideration of their own preferences and profiles according to the utility functions. The decentralized LEM clearing process not only avoids complex calculation induced by centralized decision process, but also preserves players' privacy. Case studies are conducted that demonstrate that the LEM promotes local integration of renewable energy, reduces peak demand, and improves players' utilities. Sensitivity analysis is then implemented to discuss the influences on the LEM clearing results of capacities of DGs, Loads, and the HSS, as well as price of hydrogen from the hydrogen station (HS).

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“…This is a huge optimization problem requiring vast information such as the capacity of each device, and responses from consumers and DERs. In [8], Ding et al formulate a profit maximization problem for a single wind turbine system which can either sell the wind energy on a green energy market, or use it to serve the associated load. Although it is close to our problem, it does not consider the possibility of energy storage.…”

Section: Introductionmentioning

confidence: 99%

Dynamic market for distributed energy resources in the Smart Grid

Lã

Chan

Soong

2014

2014 IEEE 11th Consumer Communications and Networking Conference (CCNC)

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Distributed Energy Resources (DER) are one of the distinguished features of Smart Grid. A combination of smallscale energy generator and storage unit can produce energy to serve the associated load, while at the same time store or sell excessive energy. Assuming there is an energy surplus, the system can choose to sell a portion of its available energy to the market. In this work, an oligopoly model is developed in order to study dynamic pricing in such a scenario. The problem can be characterized as a dynamic N -player differential game, where the optimal solutions correspond to the equilibria of the game. We provide a mathematical analysis for the solution of the game, where a complete characterization of the steady-state price and optimal strategies of the players can be obtained in the symmetric case. Extensive numerical studies are provided to demonstrate the behaviors of the proposed market model and to analyze the impacts of various market parameters on the system.

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A Market Based Scheme to Integrate Distributed Wind Energy

Cited by 27 publications

References 13 publications

Load Scheduling and Power Trading in Systems With High Penetration of Renewable Energy Resources

Load Scheduling and Power Trading in Systems With High Penetration of Renewable Energy Resources

A Local Energy Market for Electricity and Hydrogen

Dynamic market for distributed energy resources in the Smart Grid

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