scholarly journals Statistical Machine Learning Model for Uncertainty Planning of Distributed Renewable Energy Sources in Distribution Networks

2021 ◽  
Vol 9 ◽  
Author(s):  
Xueqian Fu ◽  
Xianping Wu ◽  
Nian Liu
Keyword(s):  
Stochastic Programming ◽  
Large Scale ◽  
Programming Model ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Point Estimation ◽  
Operating Conditions ◽  
Order Moment ◽  
Operating Characteristics ◽  
New Energy

New energy power systems with high-permeability photovoltaic and wind power are high-dimensional dynamic large-scale systems with nonlinear, uncertain and complex operating characteristics. The uncertainty of new energies creates challenges in detailed analyses of operating conditions and the efficient planning of distribution networks. Probabilistic power flows (PPFs) are effective tools for uncertainty analyses of distribution networks, and they can be applied in stochastic programming, risk assessment and other fields. We propose different forms of PPFs, which are origin moments rather than means and variances, based on point estimation. We design a stochastic programming model suitable for new energy planning in practice, and the PPF results can be used to improve energy stochastic programming methods by considering the principle of maximum entropy (POME) and quadratic fourth-order moment (QFM) estimation. The origin moments of PPFs are transformed into central moments as inputs of QFM based on probability theory. QFM can efficiently estimate the constraint probability levels of stochastic optimal planning models, and the proposed method is verified based on an IEEE 33-node distribution network.

scholarly journals Robustness Comparison of Synthetic Inertia Strategies for Doubly Fed Induction Generators under Different Operating Conditions

2020 ◽  
Author(s):  
Paulo Andrade Souza ◽  
Renan R. dos Santos ◽  
Manoelito C. N. Filho ◽  
Daniel Barbosa ◽  
Luciano Sales Barros
Keyword(s):  
Wind Energy ◽  
Large Scale ◽  
Control Strategies ◽  
Renewable Energy Sources ◽  
Operating Conditions ◽  
Wind Condition ◽  
Primary Control ◽  
Parameter Uncertainties ◽  
Doubly Fed ◽  
Frequency Behavior

Due to the increasing penetration of Renewable Energy Sources (RES) such as wind energy in electrical grids, Wind Energy Conversion Systems (WECS) participation in primary control is becoming required including the Doubly Fed Induction Generator (DFIG)-based WECS. High integration of large scale DFIG-based WECS brings new challenges to their primary control support, and more strongly due to the wind condition and grid parameter uncertainties. One of the most used types of control strategy for DFIG-based WECS primary support is the synthetic inertia, however, robustness of these techniques have not been tested. In this work three synthetic inertia control strategies will be tested under different operating conditions of wind speed, frequency and voltage sag. For testing the DFIG-based WECS, it was modeled on ATP including its control systems and the results quantified the controllers robustness on the tested controllers with respect to transient frequency behavior.

scholarly journals New Energy Technologies: Microalgae, Photolysis and Airborne Wind Turbines

Sci ◽  
2019 ◽  
Vol 1 (2) ◽  
pp. 43 ◽  
Author(s):  
Patrick Moriarty ◽  
Damon Honnery
Keyword(s):  
Renewable Energy ◽  
Wind Turbines ◽  
Large Scale ◽  
New Technologies ◽  
Renewable Energy Sources ◽  
Extreme Weather Events ◽  
Energy Sources ◽  
Energy Technologies ◽  
New Energy ◽  
Near Term

Because of the near-term risk of extreme weather events and other adverse consequences from climate change, and, at least in the longer term, global fossil fuel depletion, there is world-wide interest in shifting to noncarbon energy sources, especially renewable energy (RE). Because of possible limitations on conventional renewable energy sources, researchers have looked for ways of overcoming these shortcomings by introducing radically new energy technologies. The largest RE source today is bioenergy, while solar energy and wind energy are regarded as having the largest technical potential. This paper reviews the literature on proposed new technologies for each of these three RE sources: microalgae for bioenergy, photolysis and airborne wind turbines. The main finding is that their proponents have underestimated the difficulties facing their introduction on a very large scale.

scholarly journals Fixed-speed and Variable-speed Pumped Storage Dispatch Model in Power Systems with High Renewable Penetration

2018 ◽  
Vol 38 ◽  
pp. 04014
Author(s):  
Bo Yuan ◽  
Jin Zong ◽  
Zhicheng Xu
Keyword(s):  
Power Systems ◽  
Linear Optimization ◽  
Operating Conditions ◽  
Economic Life ◽  
Mixed Integer ◽  
Variable Speed ◽  
Operating Characteristics ◽  
Storage Unit ◽  
New Energy ◽  
Pumped Storage

According to different operating characteristics of pumped storage fixed speed unit and variable speed unit, a joint dispatching model of pumped storage unit and other types of units based on mixed integer linear optimization is constructed. The model takes into account the operating conditions, reservoir capacity, cycle type and other pumped storage unit constraints, but also consider the frequent start and stop and the stability of the operation of the unit caused by the loss. Using the Cplex solver to solve the model, the empirical example of the provincial power grid shows that the model can effectively arrange the pumping storage speed and the dispatching operation of the variable speed unit under the precondition of economic life of the unit, and give full play to the function of peak shaving and accommodating new energy. Because of its more flexible regulation characteristics of power generation and pumping conditions, the variable speed unit can better improve the operating conditions of other units in the system and promote the new energy dissipation.

scholarly journals “Triple-Alls” Distribution Network Information Model and Platform Design

2020 ◽  
Vol 186 ◽  
pp. 02001
Author(s):  
Jianfeng Wang ◽  
Liang Chen ◽  
Liqin Shi ◽  
Dao’an Zhang ◽  
Hao Liu
Keyword(s):  
Power Distribution ◽  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Information Model ◽  
Power Distribution Network ◽  
Platform Design ◽  
Network Information ◽  
Sensing Technology ◽  
New Energy

In recent years, large-scale new energy sources have been connected to the power distribution network, and the ubiquitous power IoT sensing technology has developed rapidly. At the same time, the increase in energy consumption has placed higher requirements on the consumption of new energy, which has led to the “Triple-Alls” (All access, All sensing, All consumption) requirements of the distribution network. To this end, this paper conducts a series of studies on the “Triple-Alls” distribution network: First, it analyzes the characteristics and key technologies of the “Triple-Alls” distribution network by comparing with traditional distribution networks, and then establishes energy storage, photovoltaic, and wind power. Information model of “Triple-Alls” distribution network. Then, a platform design scheme meeting the requirements is constructed. Finally, the application functions of “All access”, “All sensing” and “All consumption” in the distribution network are explained in detail.

Review of Expander Selection for Small-Scale Organic Rankine Cycle

2014 ◽  
Author(s):  
Saeedeh Saghlatoun ◽  
Weilin Zhuge ◽  
Yangjun Zhang
Keyword(s):  
Internal Combustion Engines ◽  
Large Scale ◽  
Waste Heat ◽  
Organic Rankine Cycle ◽  
Rankine Cycle ◽  
Operating Conditions ◽  
Small Scale ◽  
Manufacturing Cost ◽  
Operating Characteristics ◽  
Small Scale Industries

After more than twenty years working on the selection of an appropriate expander for Organic Rankine cycles and wide research and attentions about its influence on the performance and total cost of waste heat recovery systems, now there is a good-enough background studies and achievement for large scale applications. But small-scale industries is like a art space to modify and revise the previous results. As it is clearly known, in small-scale applications and industries especially in internal combustion engines, besides the investigation of performance, physical properties and final efficiency of expander, other parameters should be analyzed accurately like manufacturing cost, availability, reliability, sensitivity to operating condition fluctuations. Due to a significant role of expander equipment to enhance the efficiency of ORC system in the first step expanders is investigated. In this paper, as per related operating characteristics, a complete comparison of small-scale expanders will be debated to guide designers to select more appropriate and the best efficient expansion machine as per their requirements. According to available literatures there is more need to do research about different types of expanders with various operating conditions in small-scale industries.

A Stochastic Programming Approach for Locating and Dispatching Two Types of Ambulances

2021 ◽  
Vol 55 (2) ◽  
pp. 275-296
Author(s):  
Soovin Yoon ◽  
Laura A. Albert ◽  
Veronica M. White
Keyword(s):  
Stochastic Programming ◽  
Large Scale ◽  
Simulation Analysis ◽  
Programming Model ◽  
Prehospital Care ◽  
Programming Approach ◽  
Solution Technique ◽  
Solution Approach ◽  
Stochastic Solution ◽  
Problem Instances

Emergency Medical Service systems aim to respond to emergency calls in a timely manner and provide prehospital care to patients. This paper addresses the problem of locating multiple types of emergency vehicles to stations while taking into account that vehicles are dispatched to prioritized patients with different health needs. We propose a two-stage stochastic-programming model that determines how to locate two types of ambulances in the first stage and dispatch them to prioritized emergency patients in the second stage after call-arrival scenarios are disclosed. We demonstrate how the base model can be adapted to include nontransport vehicles. A model formulation generalizes the base model to consider probabilistic travel times and general utilities for dispatching ambulances to prioritized patients. We evaluate the benefit of the model using two case studies, a value of the stochastic solution approach, and a simulation analysis. The case study is extended to study how to locate vehicles in the model extension with nontransport vehicles. Stochastic-programming models are computationally challenging for large-scale problem instances, and, therefore, we propose a solution technique based on Benders cuts.

scholarly journals A Novel Multi-Area Distribution State Estimation Approach for Active Networks

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1772
Author(s):  
Mohammad Gholami ◽  
Ali Abbaspour Tehrani-Fard ◽  
Matti Lehtonen ◽  
Moein Moeini-Aghtaie ◽  
Mahmud Fotuhi-Firuzabad
Keyword(s):  
State Estimation ◽  
Large Scale ◽  
Distribution Network ◽  
Distribution Networks ◽  
Operating Conditions ◽  
Active Networks ◽  
Local State ◽  
Tie Lines ◽  
Distribution State ◽  
State Estimations

This paper presents a hierarchically distributed algorithm for the execution of distribution state estimation function in active networks equipped with some phasor measurement units. The proposed algorithm employs voltage-based state estimation in rectangular form and is well-designed for large-scale active distribution networks. For this purpose, as the first step, the distribution network is supposed to be divided into some overlapped zones and local state estimations are executed in parallel for extracting operating states of these zones. Then, using coordinators in the feeders and the substation, the estimated local voltage profiles of all zones are coordinated with the local state estimation results of their neighboring zones. In this regard, each coordinator runs a state estimation process for the border buses (overlapped buses and buses with tie-lines) of its zones and based on the results for voltage phasor of border buses, the local voltage profiles in non-border buses of its zones are modified. The performance of the proposed algorithm is tested with an active distribution network, considering different combinations of operating conditions, network topologies, network decompositions, and measurement scenarios, and the results are presented and discussed.

scholarly journals Cloud-Based Application for Smart Grid Simulation

2016 ◽  
Vol 44 (2) ◽  
pp. 81-83
Author(s):  
Szabolcs Tar ◽  
Attila Fodor
Keyword(s):  
Renewable Energy ◽  
Smart Grids ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Distribution Networks ◽  
Decentralized Generation ◽  
Grid Simulation ◽  
New Energy ◽  
Complex Solutions ◽  
Grid Management

Abstract This study provides an overview of the content of an R&D project for increasing the efficiency of smart grids to analyse the energy market, consumption, generation, and renewable energy usage. The new energy participants, for example decentralized generation, dynamic consumption, and weather-dependent power plants, are facing challenges. This project offers solutions to these challenges: modelling of distribution networks, forecasts of renewable energy sources distributed generation (RES-DG), micro-grid management and responses to demand in new, complex solutions. A hardware device is being developed for smart grids and security modules to enhance IT security.

scholarly journals Investigation on System for Renewable Electricity Storage in Small Scale Integrating Photovoltaics, Batteries, and Hydrogen Generator

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6039
Author(s):  
Daniel Węcel ◽  
Michał Jurczyk ◽  
Wojciech Uchman ◽  
Anna Skorek-Osikowska
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Hydrogen Generation ◽  
Renewable Energy Sources ◽  
Operating Conditions ◽  
Operating Efficiency ◽  
Small Scale ◽  
Hydrogen Generator ◽  
Operating Characteristics ◽  
Electricity Storage

In this article the solution based on hydrogen generation to increase the flexibility of energy storage systems is proposed. Operating characteristics of a hydrogen generator with integrated electrical energy storage and a photovoltaic installation were determined. The key role of the electricity storage in the proposed system was to maintain the highest operating efficiency related to the nominal parameters of the hydrogen generator. The hydrogen generators achieved the highest energy efficiency for the nominal operating point at the highest power output. Lead-acid batteries were used to ensure the optimal operating conditions for the hydrogen generator supplied with renewable energy throughout the day. The proposed system reduces significantly the hydrogen generator nominal power and devices in system operate in such a way to improve their efficiency and durability. The relations between individual components and their constraints were determined. The proposed solution is fully in-line with previously investigated technologies for improving grid stability and can help incorporate renewable energy sources to increase the sustainability of the energy sector and green hydrogen production.

Sign in / Sign up

Export Citation Format

Share Document