Distribution network automation refers to the combination of modern electronic technology, communication technology, computer network technology with power system equipment, integrating
This paper first analyzes the impact of the volatility of distributed power generation (DG) output on distribution network planning. This impact mainly includes three aspects: system
Abstract The increased penetration of weather-dependent distributed generation, such as wind power plants and photovoltaics, in distribu-tion networks, presents new challenges for the distribution
It is challenging to manage high quality voltage control of a distribution network only relying on the traditional reactive power control mode. If the reactive power regulation potentials of new energy and
Aiming to achieve the flexible operation of distribution network (ADN), an energy management strategy of ADN with integrated distributed wind power and smart buildings is proposed in this study. Fi...
Prediction of power generation and rotor angular speed of a small wind turbine equipped to a controllable duct using artificial neural network and multiple linear regression
To achieve this goal, small-scale forms of renewable electric power generation called “distributed generation (DG)” systems must be adopted on a larger scale . DG systems generate
This proposed method is applied in IEEE 85-bus radial distribution network, minimizes power loss, reduces voltage deviation, and enhances stability through an adaptive binary search.
Sheng Huang, Xiaohui Huang and colleagues propose a methodology for the optimal power dispatch from the wind farms. Their method relies on local data only and allows iterative
This study discusses the effect of using the DGs with the power system focuses on wind power generation for voltage control and power losses reduction. The simulation analysis in this
First, the paper investigates the most current grid requirements for wind power plant integration, based on a harmonized European Network of Transmission System Operators (ENTSO-E) framework and
In this report, groups of DA functions have been combined into Distribution Automation scenarios, so that the combined capabilities can be assessed. In addition, many of the DA functions must rely on
Afterward, a two-stage risk-adjusted robust energy dispatching model is established as a min-max-min optimization problem for active distribution
Integrating renewable energy sources into power systems is crucial for achieving global decarbonization goals, with wind energy experiencing the most
This research underscores the potential of PSO-based optimization in conforming more efficient and sustainable distribution networks.
ABB''s Smart Distribution solutions focus on enhancing the efficiency, flexibility, and reliability of electric distribution networks. These solutions aim to create more
To address these challenges, this paper proposes an intelligent scheduling strategy for a wind energy dominated distribution network, which aims to reduce the fluctuation caused by the wind
We offer a broad range of wind turbine control systems that can be used for on-shore or off-shore wind power generation and wind farm management.
The simulation system in this paper has been analyzed and simulated with a sample IEE-12 busses distribution network using the power world simulator software to study the impact of wind DG on the
In the future, distributed generation (DG) will play important role in power system network. A grid-connected distributed generation can be a good
Abstract—The increased penetration of wind power plants (WPPs) in distribution networks challenges the distribution system operators (DSOs) to improve and optimize networks'' operation. A higher
Opportunities for distribution automation, such as enhanced reliability, improved operational efficiency, enhanced data collection and analysis,
This chapter presents power flow study for distribution network connected to wind farm based on induction generators (IG). It provides an
In this research, multi-objective optimization of unbalanced distribution networks reconfiguration integrated with wind turbine allocation (MORWTA) is implemented considering
Then, deep reinforcement learning is introduced to realize real-time decision in distribution network to solve the problem of fluctuation caused by the uncertain wind power output. The energy
It was shown that multi-wind turbine configurations under active network management schemes, including coordinated voltage control and adaptive power factor control, can increase the
Among various renewable energy technologies, wind turbines and photovoltaic systems have received increasing attention from investors.
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