Considering the possible overvoltage caused by high-penetration photovoltaics (PVs) connected to distribution networks (DNs), a cluster partition-based voltage control combined day-ahead scheduling and real-time for is proposed. Firstly, community detection algorithm utilizing coupling quality function introduced divide PVs into clusters. Based on partition, (DAS) proposed with objective of min...

The inherent variability and randomness of large-scale wind power integration have brought great challenges to power flow control and dispatch. The distributed power flow controller (DPFC) has the higher flexibility and capacity in power flow control in the system with wind generation. This paper proposes a multi-time scale coordinated scheduling model with DPFC to minimize wind power spillage....

With large-scale integration of distributed energy resources (DERs), distribution networks have turned into active distribution networks (ADNs). However, management risks and obstacles are caused by this in due to renewable energy generation (REG) forecasting errors. In this paper, a day-ahead active power scheduling method considering REG forecast errors is proposed to eliminate the risks, min...

Introducing a production–based approach, we take into account different attitudes and liabilities of market participants to discuss the equilibrium day–ahead prices on electricity. Conditions ensuring the existence of the equilibrium are given and price distribution is considered. We include a discussion of reasons for high price volatility.

The widespread use of biogas and biomass fuels in facility agro-industrial parks has led to a significant increase their carbon emissions. A day-ahead optimal scheduling model for an integrated energy system (IES) is proposed, that considers the coupling power gas (P2G) reduce emissions during operation industrial park. proposed incorporates two evaluation indices economy by IES park, formulate...

Abstract Utilizing multi-carrier energies such as wind energy, electric vehicle (EV) and battery banks are a significant step toward cleaner production. Hence, This paper proposes stochastic-based decision-making framework for the efficient short-term management of smart energy hub (EH) in restructured power systems with high penetration renewable energy. The electrical natural gas carriers inp...

At the present time, power-system planning and management is facing major challenge of integrating renewable energy resources (RESs) due to their intermittent nature. To address this problem, a highly accurate generation forecasting system needed for day-ahead power scheduling. Day-ahead solar irradiance (SI) has various applications operators market agents such as unit commitment, reserve mana...