scholarly journals Adaptable Source-Grid Planning for High Penetration of Renewable Energy Integrated System

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3304
Author(s):  
Ming Tang ◽  
Jian Wang ◽  
Xiaohua Wang
Keyword(s):  
Renewable Energy ◽  
Network Structure ◽  
Supply And Demand ◽  
Integrated System ◽  
Planning Stage ◽  
Expansion Planning ◽  
High Penetration ◽  
Supply Capacity ◽  
Grid Planning ◽  
The Impact

To adapt to the growing scale of renewable energy and improve the consume ability of the power system, it is necessary to design a highly adaptable planning scheme for high penetration of the renewable energy integrated system. Thus, this paper firstly gives the conception of system adaptability and designs an adaptability index system, which considers the supply and demand balance, operation state, and network structure of the high penetrated renewable energy integrated system. It can help to comprehensively evaluate the system ability towards uncertain shocks. Then, a two-stage source-grid coordinative expansion planning model is presented. The adaptability indexes of supply and demand balance are used as objection of the source planning stage, the adaptability indexed of the operation state and network structure are used to guide the grid planning stage. The model is further solved based on the coordination between the source and grid planning stage. Finally, the case study verifies that the obtained optimal plan has good adaptability to the impact of renewable energy on the power supply capacity and security operation.

Research on Optimization of Multi-Commodity Supply and Demand Logistics Network Based on Supernetwork

2018 ◽  
Vol 16 (3) ◽  
pp. 78-93
Author(s):  
Yongtao Peng ◽  
Yaya Li ◽  
Meiling He
Keyword(s):  
Supply And Demand ◽  
Quantitative Description ◽  
Network Models ◽  
Projection Algorithm ◽  
Logistics Network ◽  
Matching Degree ◽  
Supply Capacity ◽  
Logistics Demand ◽  
The Impact ◽  
The Relationship

For the realization, a qualitative and quantitative description of matching degree between the elements for logistics supply network and demand network, logistics super network models are constructed by the theory of super network. Faced with the problems of diverse demand and massive circulation for commodities, this article studies the structure of the logistics super network of multi-commodity circulation and establishes the continuous cost function of the logistics demand and supply, reflecting the logistics cost of different commodities in different phrases. This article aims to establish the optimization model of logistics supernetwork by aiming to maximize the matching of supply and demand of multi-commodity. The model is transformed into the variational inequality problem, and proves the existence and uniqueness of the equivalence solution. Use the case of the logistics supernetwork of coal, a modified projection algorithm is adopted and the fact is revealed that improving the supply capacity of the network matching may have the original 81.3% increase to 90.5%, improving the impact of the relationship between trades, matching degree can be increased to 90.1%.

scholarly journals Probabilistic indexes and evaluation method for network structure adaptability with high-penetration renewable energy

2019 ◽  
Vol 2019 (18) ◽  
pp. 4754-4759 ◽  
Author(s):  
Chengming Zhang ◽  
Haozhong Cheng ◽  
Shenxi Zhang ◽  
Zheng Wang ◽  
Jianzhong Lu ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Network Structure ◽  
Evaluation Method ◽  
High Penetration

scholarly journals Scaling of an Aviation Hydrogen Micromix Injector Design for Industrial GT Combustion Applications

2021 ◽  
Author(s):  
Johannes Berger
Keyword(s):  
Renewable Energy ◽  
Gas Turbine ◽  
Power Plants ◽  
Supply And Demand ◽  
Pressure Ratio ◽  
Flame Temperature ◽  
Orifice Diameter ◽  
Design Parameters ◽  
Nox Emissions ◽  
The Impact

AbstractDecarbonising the energy grid through renewable energy requires a grid firming technology to harmonize supply and demand. Hydrogen-fired gas turbine power plants offer a closed loop by burning green hydrogen produced with excess power from renewable energy. Conventional dry low NOx (DLN) combustors have been optimized for strict emission limits. A higher flame temperature of hydrogen drives higher NOx emissions and faster flame speed alters the combustion behavior significantly. Micromix combustion offers potential for low NOx emissions and optimized conditions for hydrogen combustion. Many small channels, so-called airgates, accelerate the airflow followed by a jet-in-crossflow injection of hydrogen. This leads to short-diffusion flames following the principle of maximized mixing intensity and minimized mixing scales. This paper shows the challenges and the potential of an economical micromix application for an aero-derivative industrial gas turbine with a high-pressure ratio. A technology transfer based on the micromix combustion research in the ENABLEH2 project is carried out. The driving parameter for ground use adaption is an increased fuel orifice diameter from 0.3 mm to 1.0 mm to reduce cost and complexity. Increasing the fuel supply mass flow leads to larger flames and higher emissions. The impact was studied through RANS simulation and trends for key design parameters were shown. Increased velocity in the airgates leads to a higher pressure drop and reduced emissions through faster mixing. Altering the penetration depth shows potential for emission reduction without compromising on pressure loss. Two improved designs are found, and their performance is discussed.

scholarly journals Assessing the impact of demand response programs on the reliability of the Ghanian distribution network

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248012
Author(s):  
Ernestina M. Amewornu ◽  
Nnamdi I. Nwulu
Keyword(s):  
Renewable Energy ◽  
Total Energy ◽  
Demand Response ◽  
Power Distribution ◽  
Energy Demand ◽  
Supply And Demand ◽  
Distribution Network ◽  
Distribution Networks ◽  
Diesel Generator ◽  
The Impact

The balancing of supplied energy to energy demand is often very challenging due to unstable power supply and demand load. This challenge causes the level of performance of distribution networks to be lower than expected. Research has however, shown the role of demand response (DR) on the performance of power networks. This work investigates the influence of DR, in the presence of incorporated renewable energy, on technical loss reduction, reliability, environment, energy saved and incentives paid to consumers with the help of PSAT and AIMMS software. Results from simulation have shown that the introduction of renewable energy into a Ghanaian distribution network coupled with implementing the proposed DR improves total energy supply by 9.8% at a corresponding operation cost reduction of 72.79%. The GHG and technical loss reduced by 27.26% and 10.09% respectively. The total energy saving is about 105kWh and 5,394.86kWh, for domestic and commercial loading profiles, respectively. Incentives received by consumers range between 45.14% and 58.55% more than that enjoyed, without renewable energy, by domestic and commercial consumers. The utility benefit also increased by 76.96% and 67.31% for domestic and commercial loads than that without renewable energy. Network reliability improves with implementation of DR. However, the reliability of a grid-connected network is better with a diesel generator only than with the integration of renewable energy. The power distribution companies, therefore, need to consider the implementation of incentive-based demand response program.

Optimal planning of renewable energy systems for power loss reduction in transmission expansion planning

2020 ◽  
Vol 18 (5) ◽  
pp. 1209-1222 ◽  
Author(s):  
Saheed Lekan Gbadamosi ◽  
Nnamdi I. Nwulu
Keyword(s):  
Renewable Energy ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Voltage Profile ◽  
Power Losses ◽  
Operating Characteristics ◽  
Content Type ◽  
Expansion Planning ◽  
Transmission Expansion ◽  
The Impact

Purpose The purpose of this study is to address the efficiency of power losses representation while still reducing the computational burden of an optimal power flow (OPF) model in transmission expansion planning (TEP) studies. Design/methodology/approach A modified TEP model is formulated with inclusions of linearized approximation of power losses for a large-scale power system with renewable energy sources. The multi-objectives function determines the effect of transmission line losses on the optimal power generation dispatch in the power system with and without inclusion of renewable energy sources with emphasis on minimizing the investment and operation costs, emission and the power losses. Findings This study investigates the impact of renewable energy sources on system operating characteristics such as transmission power losses and voltage profile. Sensitivity analysis of the performance for the developed deterministic quadratic programming models was analyzed based on optimal generated power and losses on the system. Research limitations/implications In the future, a comparison of the alternating current OPF and direct current (DC) OPF models based on the proposed mathematical formulations can be carried out to determine the efficiency and reduction of computation process of the two models. Practical implications This paper proposed an accurate way of computing transmission losses in DC OPF for a TEP context with a view of achieving a minimal computation time. Originality/value This paper addresses the following objectives: develop a modified DC OPF with a linearized approximation of power losses in TEP problem with large integration of RES. Investigate the impact of RES on system operating characteristics such as transmission power losses and voltage profile.

scholarly journals The LCOE-Indicator-Based Comprehensive Economic Comparison between AC and DC Power Distribution Networks with High Penetration of Renewable Energy

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4621 ◽  
Author(s):  
Yi Liu ◽  
Zhanqing Yu ◽  
Haibo Li ◽  
Rong Zeng
Keyword(s):  
Renewable Energy ◽  
Economic Evaluation ◽  
Power Loss ◽  
Distribution Network ◽  
Distribution Networks ◽  
Planning Stage ◽  
Stage Of Development ◽  
Dc Distribution ◽  
High Penetration ◽  
Economic Comparison

DC distribution networks are operationally economical from the perspective of renewable energy penetration due to the reduction of power loss from the simplified power conversion structure. However, the initial investment cost of a DC network is high because DC technology is in the early stage of development. So, selecting AC or DC technology becomes an important issue in the planning stage of a distribution network, where a comprehensive quantitative economic comparison between AC and DC distribution networks is necessary. To compare the economy between AC and DC distribution networks with high penetration of a renewable energy scenario, this paper introduces a comprehensive economic evaluation method. In this study, first, typical system models for AC and DC distribution networks were proposed as the foundation of the research. Then, a levelized cost of energy (LCOE)-indicator-based comprehensive economic evaluation model was established, where the operation cost was classified into power loss cost, reliability loss cost, and operational cost. A time sequential simulation model was applied to calculate the power loss. The simulation results showed that a DC distribution network has higher initial investment, operation, and maintenance costs than an AC distribution network, but the loss cost is far lower than an AC distribution network. A sensitivity analysis showed that the equipment cost and proportion of renewable energy are two of the most important factors that affect the economics of DC distribution networks at present.

scholarly journals A Multi-Objective Optimization Model for a Non-Traditional Energy System in Beijing under Climate Change Conditions

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1692 ◽  
Author(s):  
Xiaowen Ding ◽  
Lin Liu ◽  
Guohe Huang ◽  
Ye Xu ◽  
Junhong Guo
Keyword(s):  
Climate Change ◽  
Renewable Energy ◽  
Supply And Demand ◽  
Energy System ◽  
Renewable Energies ◽  
Energy Structure ◽  
Electricity Supply ◽  
Multi Objective Optimization ◽  
Structure Adjustment ◽  
The Impact

In recent years, with the increase of annual average temperature and the decrease of annual precipitation in Beijing, the fragility of Beijing’s energy system has become more and more prominent, especially the balance of electricity supply and demand in extreme weather. In the context of unstable supply of new and renewable energies, it is imperative to strengthen the ability of the energy system to adapt to climate change. This study first simulated climate change in Beijing based on regional climate data. At the same time, the Statistical Program for Social Sciences was used to perform multiple linear regression analysis on Beijing’s future power demand and to analyze the impact of climate change on electricity supply in both the RCP4.5 and RCP8.5 (representative concentration pathway 4.5 and 8.5) scenarios. Based on the analysis of the impact of climate change on energy supply, a multi-objective optimization model for new and renewable energy structure adjustment combined with climate change was proposed. The model was then used to predict the optimal power generation of the five energy types under different conditions in 2020. Through comparison of the results, it was found that the development amount and development ratio of various energy forms underwent certain changes. In the case of climate change, the priority development order of new and renewable energies in Beijing was: external electricity > other renewable energy > solar energy > wind energy > biomass energy. The energy structure adjustment program in the context of climate change will contribute to accelerating the development and utilization of new and renewable energies, alleviating the imbalance between power supply and demand and improving energy security.

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