<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper proposes a reconfiguration methodology based on an Ant Colony Algorithm (ACA) that aims at achieving the minimum power loss and increment load balance factor of radial distribution networks with distributed generators. A 33-bus system Tai-Power 11.4-kV were selected for optimizing configuration to demonstrate effectiveness proposed solving optimal switching operation systems. The...

As renewable power generation becomes more prevalent, the problem of frequency stability has become a particular concern transmission system operators, especially those small systems. Traditional wind systems do not provide regulation because they are decoupled from grid. Therefore, as conventional thermal generators replaced by generators, issue for increasingly important. To release kinetic energy stored in rotating mass, inertia and droop control loops can be added into controller turbine...

The interest in the utilization of offshore wind power is increasing significantly worldwide. A typical windfarm may have hundreds generators, which outspread range several to tens kilometers. Therefore, there are many feasible schemes for turbine location and internal line connection a farm. planner must search an optimal one from these schemes, usually with maximum output lowest installation operation cost. This paper proposes novel procedure determine optimization topology by using...

The increasing use of solar power as a source electricity has led to increased interest in forecasting its output over short-time horizons. Short-term forecasts are needed for operational planning, switching sources, programming backup, reserve usage, and peak load matching. However, the photovoltaic (PV) system is influenced by irradiation, cloud cover, other weather conditions. These factors make it difficult conduct short-term PV forecasting. In this paper, an experimental database...

During the past one to two decades, probabilistic forecasting of a wind-power generation has been regarded as necessary input decisions made for purpose reliable and economic power systems operations, especially since penetration renewable energy begun grow rapidly. Probabilistic differs from traditional deterministic in which it takes uncertainty into account. This paper proposes modified nonparametric method constructing prediction intervals (PIs). The lower upper bound estimation (LUBE)...

In recent years, the integration of wind power generation facilities, and especially offshore into grids has increased rapidly. Therefore, grid codes concerning have become a major factor in ensuring system reliability. This work compares about around world. The Denmark, Ireland, U.K., Germany, Spain, China, U.S., Canada, other countries are considered. most important these concern reactive power, frequency regulation, fault ride through, quality. Several also address communication, ramp...

Blackouts in a power system can occur several ways. How to prevent blackout is an important issue systems. The reasons cause blackouts be the overloading of transmission lines, ice coating on failure protection or control systems, and others. Blackout prevented through appropriate strategies from N-1 contingency, maintain load-generation balance, cascade more fault contingencies. This work reviews different countries by considering their causes solutions, as well discussion thoughts many...

This paper presents two probabilistic approaches based on bootstrap method and quantile regression (QR) to estimate the uncertainty associated with solar photovoltaic (PV) power point forecasts. Solar PV output forecasts are obtained using a hybrid intelligent model, which is composed of data filtering technique wavelet transform (WT) soft computing model (SCM) radial basis function neural network (RBFNN) that optimized by particle swarm optimization (PSO) algorithm. The forecast capability...

Solar power has rapidly become an increasingly important energy source in many countries over recent years; however, the intermittent nature of photovoltaic (PV) generation a significant impact on existing systems. To reduce this uncertainty and maintain system security, precise solar forecasting methods are required. This study summarizes compares various PV approaches, including time-series statistical methods, physical ensemble machine deep learning last which there is particular focus....

The major drawback of the battery charging in traditional electric vehicles is use plug-in devices. aim this paper to propose a wireless method, addition power transfer, data related status, vehicle ID code, or emergency messages can be simultaneously transferred between grid and vehicle. This work applies inductive transfer complete system. proposed control system monitor operating status on secondary (vehicle) side real time adjust current depending status. Furthermore, mechanism able make...

Photovoltaic power has become one of the most popular forms energy owing to growing consideration environmental factors; however, solar generation brought many challenges for system operations. With regard optimizing safety and reducing costs operations, an accurate reliable forecasting model would be a significant step forward. This study proposes deep learning method improve performance short-term one-hour-ahead forecasting, which includes data preprocessing, feature engineering, kernel...

This paper mainly focuses on the transient voltage and frequency responses of a large offshore wind farm integrated system in Taiwan. It adopts simulation study by using different submarine cable technologies turbine types, including high direct current (HVDC) link based line commutated converter (LCC); alternating (HVAC) link; three types turbines. In addition, it utilizes an actual that connects Taiwan grid 200MW Penghu area via two cables. The aim this is to analyze characteristics both...

In recent years, the integration of wind power generation, especially for offshore power, has increased rapidly. Therefore, requirements grid codes on becomes a major factor in system reliability. This paper compares and summarizes corresponding works about around world. The issued by Denmark, Ireland, UK, Germany, Spain, China, US, Canada, other representative countries have been studied. main include reactive frequency regulation, fault ride through, quality. Additionally, several also...

In recent years, wind energy has become a competitively priced source of around the world, which created increasing challenges for system operators. Accurate power generation forecasting plays an important role in systems to improve reliable and efficient operation. Therefore, numerous artificial intelligent methods such as machine learning deep have been considered solutions accurate forecasts. addition deterministic forecasting, probabilistic becomes more important, because it indicates...

In modern power systems, the increasing penetration of renewable energy resources has reduced overall system inertia. However, intermittent nature wind generation reduces frequency stability, which is a crucial issue. Consequently, systems require that sources, such as offshore farms, support regulation. High voltage direct current (HVDC) based on source converters (VSCs) are currently being used to connect farms with main grid. By adjusting DC-link VSC-HVDC, capacitor can absorb or release...

This study proposed a model for deterministic and probabilistic wind power generation forecasting its corresponding procedures. The main contents include numerical weather prediction (NWP) systems, data preprocessing techniques, models that use artificial intelligence methods. NWP speeds generated by the Central Weather Bureau (CWB) of Taiwan based on three atmospheric models, namely research (WRFD), radar (RWRF), WRF-based ensemble system (WEPS), were used as inputs. In terms preprocessing,...

Penghu, Taiwan, has the potential to be one of most valuable sources wind energy in world. A 59-km submarine cable that connects Taiwan Penghu Island is currently planning phase, and a large-scale offshore farm around will developed. This first planned have significant role development renewable this country. In initial various transient impact analyses must performed. Low-voltage-ride-through (LVRT) capability critical items analyzed. The main target paper investigate effect LVRT...

In the literature, many droop control loops have been proposed to enhance frequency capability of wind farm (WF) when a large disturbance occurs. However, some are not feasible be implemented in dynamic equivalent model (DEM) WF. The kinetic energy (KE)-based loop is an example. gain this expressed as quadratic function turbine (WT) rotor speed. it implement nonlinear DEM Therefore, study, new linear-gain for doubly fed induction generator-based loop, linear WT speeds. By selecting proper...

This paper proposes a novel stratification-based wind power forecasting method and develops hybrid model at different stratifications using charged system search algorithm. The proposed applies the concept of segmentation from theory optimal stratification to forecast short-term outputs. Additionally, elucidates weighting values each individual blocks. Based on results, outperforms traditional stand-alone models unstratified in terms accuracy, which verifies for accurate forecasting.