A novel peer-to-peer local electricity market for joint trading of energy and uncertainty

Z Zhang, R Li, F Li - IEEE Transactions on Smart Grid, 2019 - ieeexplore.ieee.org
In the future power system, an increasing number of distributed energy resources will be
integrated including intermittent generation like photovoltaic (PV) and flexible demand like …

Improving renewable energy forecasting with a grid of numerical weather predictions

JR Andrade, RJ Bessa - IEEE Transactions on Sustainable …, 2017 - ieeexplore.ieee.org
In the last two decades, renewable energy forecasting progressed toward the development
of advanced physical and statistical algorithms aiming at improving point and probabilistic …

Many-objective distribution network reconfiguration via deep reinforcement learning assisted optimization algorithm

Y Li, G Hao, Y Liu, Y Yu, Z Ni… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increasing penetration of renewable energy (RE), the operations of distribution
network are threatened and some issues may appear, ie, large voltage deviation …

Frequency and voltage control strategy of standalone microgrids with high penetration of intermittent renewable generation systems

YS Kim, ES Kim, SI Moon - IEEE Transactions on Power …, 2015 - ieeexplore.ieee.org
In this paper, we propose a frequency and voltage control strategy for a standalone
microgrid with high penetration of intermittent renewable generation systems, which might …

Probabilistic forecasting of photovoltaic generation: An efficient statistical approach

C Wan, J Lin, Y Song, Z Xu… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
A novel efficient probabilistic forecasting approach is proposed to accurately quantify the
variability and uncertainty of the power production from photovoltaic (PV) systems …

A two-stage operation optimization method of integrated energy systems with demand response and energy storage

L Zhang, J Kuang, B Sun, F Li, C Zhang - Energy, 2020 - Elsevier
This paper presents a two-stage operation optimization method of an integrated energy
system (IES) with demand response (DR) and energy storage. The proposed method …

Power control flexibilities for grid‐connected multi‐functional photovoltaic inverters

Y Yang, F Blaabjerg, H Wang… - IET Renewable Power …, 2016 - Wiley Online Library
This study explores the integration issues of next‐generation high‐penetration photovoltaic
(PV) systems, where the grid is becoming more decentralised and vulnerable. In that case …

Linear decision rules for control of reactive power by distributed photovoltaic generators

RA Jabr - IEEE Transactions on Power Systems, 2017 - ieeexplore.ieee.org
The revised IEEE 1547 Standard together with the grid codes from several European
countries require the contribution of photovoltaic inverters to the reactive power and voltage …

A review of Volt/Var control techniques in passive and active power distribution networks

M Tahir, ME Nassar, R El-Shatshat… - 2016 IEEE Smart …, 2016 - ieeexplore.ieee.org
Volt/Var control problem of distribution systems has been extensively investigated in
literature. Many control models and algorithms have been proposed to achieve better …

Energy management of the grid-connected residential photovoltaic-battery system using model predictive control coupled with dynamic programming

B Zou, J Peng, R Yin, Z Luo, J Song, T Ma, S Li… - Energy and …, 2023 - Elsevier
This study developed a method coupling model predictive control (MPC) with dynamic
programming (DP) for consecutive operation scheduling of the PVB system. The actual …