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Mechanism design is studied for aggregating renewable power producers (RPPs) in a two-settlement power market. Employing an indirect mechanism design framework, a payoff allocation mechanism (PAM) is derived from the competitive equilibrium…

计算机科学与博弈论 · 计算机科学 2018-10-09 Hossein Khazaei , Yue Zhao

This paper evaluates market equilibrium under different pricing mechanisms in a two-settlement 100%-renewables electricity market. Given general probability distributions of renewable energy, we establish game-theoretical models to analyze…

系统与控制 · 电气工程与系统科学 2023-05-23 Dongwei Zhao , Audun Botterud , Marija Ilic

Power company operators make power generation plans one day in advance, in what is known as the Unit Commitment (UC) problem. UC is exposed to uncertainties, such as unknown electricity load and disturbances caused by renewable energy…

The participation of renewable energy sources in energy markets is challenging, mainly because of the uncertainty associated with the renewables. Aggregation of renewable energy suppliers is shown to be very effective in decreasing this…

最优化与控制 · 数学 2016-09-26 Farshad Harirchi , Tyrone Vincent , Dejun Yang

In this paper, a novel approach to define the optimal bidding of renewable-only virtual power plants (RVPPs) in the day-ahead, secondary reserve, and intra-day markets is proposed. To this aim, a robust optimization algorithm is developed…

系统与控制 · 电气工程与系统科学 2024-02-20 Hadi Nemati , Pedro Sánchez-Martín , Álvaro Ortega , Lukas Sigrist , Enrique Lobato , Luis Rouco

With increasing renewable penetration in power systems, a prominent challenge in efficient and reliable power system operation is handling the uncertainties inherent in the renewable generation. In this paper, we propose a simple…

计算机科学与博弈论 · 计算机科学 2019-12-03 Hossein Khazaei , X. Andy Sun , Yue Zhao

Electric power distribution systems will encounter fluctuations in supply due to the introduction of renewable sources with high variability in generation capacity. It is therefore necessary to provide algorithms that are capable of…

最优化与控制 · 数学 2018-05-07 Marie Maros , Joakim Jaldén

This paper suggests leveraging reactive power potential (RPP) embedded in wind farms to improve power system operational safety and optimality. First, three typical RPP provision approaches are analyzed and a two-stage robust linear…

系统与控制 · 电气工程与系统科学 2020-10-12 Yu Zhou , Zhengshuo Li

The large-scale integration of renewable generation directly affects the reliability of power grids. We investigate the problem of power balancing in a general renewable-integrated power grid with storage and flexible loads. We consider a…

系统与控制 · 计算机科学 2016-06-06 Sun Sun , Min Dong , Ben Liang

The correlations of multiple renewable power plants (RPPs) should be fully considered in the power system with very high penetration renewable power integration. This paper models the uncertainties, spatial correlation of multiple RPPs…

最优化与控制 · 数学 2017-07-04 Chenghui Tang , Yishen Wang , Jian Xu , Yuanzhang Sun , Baosen Zhang

This paper studies an incentive structure for cooperation and its stability in peer-assisted services when there exist multiple content providers, using a coalition game theoretic approach. We first consider a generalized coalition…

网络与互联网体系结构 · 计算机科学 2015-03-19 Jeong-woo Cho , Yung Yi

In pursuit of carbon neutrality, many countries have adopted renewable portfolio standards to facilitate the integration of renewable energy. However, increasing penetration of renewable energy resources will also pose higher requirements…

系统与控制 · 电气工程与系统科学 2023-12-27 Wenli Wu , Ye Guo , Jiantao Shi

Within the context of renewable energy communities, this paper focuses on optimal operation of producers equipped with energy storage systems in the presence of demand response. A novel strategy for optimal scheduling of the storage systems…

最优化与控制 · 数学 2025-03-11 Gianni Bianchini , Marco Casini , Milad Gholami

Accurate and reliable forecasting of renewable energy generation is crucial for the efficient integration of renewable sources into the power grid. In particular, probabilistic forecasts are becoming essential for managing the intrinsic…

应用统计 · 统计学 2025-02-12 Alireza Moradi , Mathieu Tanneau , Reza Zandehshahvar , Pascal Van Hentenryck

A virtual power plant (VPP) is operated by an aggregator that acts as a market intermediary, aggregating consumers to participate in wholesale power markets. By setting incentive prices, the aggregator induces consumers to sell energy and…

计算机科学与博弈论 · 计算机科学 2026-04-07 Liudong Chen , Hyemi Kim , Adam N. Elmachtoub , Bolun Xu

Wind power producers can benefit from forming coalitions to participate cooperatively in electricity markets. To support such collaboration, various profit allocation rules rooted in cooperative game theory have been proposed. However,…

系统与控制 · 电气工程与系统科学 2025-10-15 Honglin Wen , Pierre Pinson

This paper proposes a novel single-level robust mathematical approach to model the RES-only Virtual Power Plant (RVPP) bidding problem in the simultaneous Day Ahead Market (DAM) and Secondary Reserve Market (SRM). The worst-case profit of…

系统与控制 · 电气工程与系统科学 2024-03-06 Hadi Nemati , Pedro Sánchez-Martín , Ana Baringo , Álvaro Ortega

Bringing fairness to energy resource allocation remains a challenge, due to the complexity of system structures and economic interdependencies among users and system operators' decision-making. The rise of distributed energy resources has…

计算机科学与博弈论 · 计算机科学 2024-03-26 Jiayi Li , Matthew Motoki , Baosen Zhang

The mushrooming of distributed energy resources turns end-users from passive price-takers to active market participants. To manage those massive proactive end-users efficiently, virtual power plant (VPP) as an innovative concept emerges. It…

最优化与控制 · 数学 2020-09-15 Yue Chen , Tongxin Li , Changhong Zhao , Wei Wei

Among the many challenges of integrating renewable energy sources into the existing power grid, is the challenge of integrating renewable energy generators into the power systems economy. Electricity markets currently are run in a way that…

计算机科学与博弈论 · 计算机科学 2012-06-12 Wenyuan Tang , Rahul Jain
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