Journal ArticleDOI
State-of-the-art short-term electricity market operation with solar generation: A review
TLDR
In this article, a thorough review of the electricity markets worldwide with solar energy is provided, and a variety of proposed mathematical solutions to the problem are also discussed, with the focus on the uncertainty-based market operations.Abstract:
With the accelerating penetration of solar energy in energy systems, market operations concerning the solar-associated intermittency are widely discussed. How to correctly model the solar generation in the market and solve the uncertainty-based operation problems call for solutions. Unlike other renewable resources, solar power can be more easily applied to the demand side through behind-the-meter installations in a distributed manner with significant future extensibility. The corresponding operational rules in the markets are largely being revised. Over the past two decades, with the development of deregulated power markets, numerous studies related to uncertainty-based market operations tend to transform the market from a deterministic and centralized framework to a stochastic and decentralized one. As the relevant literature is most recent, this paper reviews their contributions to electricity market operations with solar integration and underlines the research directions of this topic and ongoing industry practices. A thorough review of the electricity markets worldwide with solar energy is provided. A variety of proposed mathematical solutions to the problem are also discussed.read more
Citations
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Journal ArticleDOI
Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization
Ning Zhao,Fengqi You +1 more
TL;DR: In this paper , a robust unit commitment framework with data-driven disjunctive uncertainty sets is proposed for sustainable energy systems with volatile renewable wind power, assisted by machine learning, which can flexibly identify the uncertainty space based on renewable power forecast error data with disjoint structures.
Journal ArticleDOI
A Comparative Study on System Profit Maximization of a Renewable Combined Deregulated Power System
TL;DR: In this paper , the authors present a review of renewable integrated deregulated power systems and provide a clear picture of the most recent research developments on this subject, with the main objectives of the reviews are the maximization of system profit, maximisation of social welfare, and minimizing of system generation cost and loss by optimal placement of energy storage devices and FACTS controllers.
Journal ArticleDOI
Stochastic Market Operation for Coordinated Transmission and Distribution Systems
TL;DR: In this paper, a three-stage unit commitment model for the market operation of transmission and distribution coordination under the uncertainties of renewable generation and demand variations is proposed, where the first stage is for the independent system operator (ISO) that determines the commitment decisions of the transmission-level generators and the distribution-level system reconfiguration; the second stage optimizes the transmission economic dispatch; then distribution system operators (DSOs) in the third stage perform their economic dispatch and exchange information with the ISO at the boundary nodes.
Journal ArticleDOI
A review of behind-the-meter energy storage systems in smart grids
TL;DR: In this paper , the authors focused on BTM ESSs installed in end-users' premises and associated technologies, different billing and pricing policies, as well as their potential capabilities from both the system operators' and endusers' perspectives.
Journal ArticleDOI
Challenges for large-scale Local Electricity Market implementation reviewed from the stakeholder perspective
TL;DR: In this article , the authors focus on challenges between LEM research and implementation from the stakeholder's perspective while considering all requirements, and find the existing challenges that currently stand between local electricity market research and large-scale implementation.
References
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Journal ArticleDOI
Human-level control through deep reinforcement learning
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Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
TL;DR: It is argued that the alternating direction method of multipliers is well suited to distributed convex optimization, and in particular to large-scale problems arising in statistics, machine learning, and related areas.
Journal ArticleDOI
Technical Note : \cal Q -Learning
Chris Watkins,Peter Dayan +1 more
TL;DR: This paper presents and proves in detail a convergence theorem forQ-learning based on that outlined in Watkins (1989), showing that Q-learning converges to the optimum action-values with probability 1 so long as all actions are repeatedly sampled in all states and the action- values are represented discretely.
Journal ArticleDOI
Synchronverters: Inverters That Mimic Synchronous Generators
Qing-Chang Zhong,George Weiss +1 more
TL;DR: The idea of operating an inverter to mimic a synchronous generator (SG) is motivated and developed, and the inverters that are operated in this way are called synchronverters.