scholarly journals To Prevent or Promote Grid Expansion? Analyzing the Future Role of Power Transmission in the European Energy System

2021 ◽  
Vol 8 ◽  
Author(s):  
Karl-Kiên Cao ◽  
Thomas Pregger ◽  
Jannik Haas ◽  
Hendrik Lens
Keyword(s):  
Power Flow ◽  
Flow Model ◽  
Power Transmission ◽  
System Optimization ◽  
Energy System ◽  
Investment Strategy ◽  
Total System ◽  
Power Sources ◽  
Model Based ◽  
Flexibility Options

Future energy supply systems must become more flexible than they are today to accommodate the significant contributions expected from intermittent renewable power sources. Although numerous studies on planning flexibility options have emerged over the last few years, the uncertainties related to model-based studies have left the literature lacking a proper understanding of the investment strategy needed to ensure robust power grid expansion. To address this issue, we focus herein on two important aspects of these uncertainties: the first is the relevance of various social preferences for the use of certain technologies, and the second is how the available approaches affect the flexibility options for power transmission in energy system models. To address these uncertainties, we analyze a host of scenarios. We use an energy system optimization model to plan the transition of Europe’s energy system. In addition to interacting with the heating and transport sectors, the model integrates power flows in three different ways: as a transport model, as a direct current power flow model, and as a linearized alternating current power flow model based on profiles of power transfer distribution factors. The results show that deploying transmission systems contribute significantly to system adequacy. If investments in new power transmission infrastructure are restricted—for example, because of social opposition—additional power generation and storage technologies are an alternative option to reach the necessary level of adequacy at 2% greater system costs. The share of power transmission in total system costs remains widely stable around 1.5%, even if cost assumptions or the approaches for modeling power flows are varied. Thus, the results indicate the importance of promoting investments in infrastructure projects that support pan-European power transmission. However, a wide range of possibilities exists to put this strategy into practice.

Decomposition Model Based on Optimal Power Flow in Interconnected Electricity Networks

2010 ◽  
Vol 34-35 ◽  
pp. 785-789
Author(s):  
Qing Ran Wang ◽  
Li Zi Zhang
Keyword(s):  
Quadratic Programming ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Model ◽  
Test System ◽  
Regional Network ◽  
Electricity Networks ◽  
Model Based ◽  
Optimal Power ◽  
Multi Level

In order to adapt to the current multi-level dispatching management system and to promote the operational efficiency of interconnected electricity networks, this paper proposes a decomposition collaborative model based on optimal power flow theory. The model is a quadratic programming question used to solve optimal power flow model. The information of interchanging between regions is communication price and boundary nodal bus phase angle. IEEE 30-bus test system demonstrates the validity and novelty of the model that the regional network can be calculated reasonably and the development of cross-regional electricity transaction is promoted effectively.

scholarly journals Systemic Evaluation of the Effects of Regional Self-Supply Targets on the German Electricity System Using Consistent Scenarios and System Optimization

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4695
Author(s):  
Charlotte Senkpiel ◽  
Wolfgang Hauser
Keyword(s):  
Power System ◽  
Power Plants ◽  
Regional Distribution ◽  
Interdisciplinary Approach ◽  
Political Stability ◽  
System Optimization ◽  
Energy System ◽  
System Modelling ◽  
Total System ◽  
Self Sufficiency

This paper analyses the effects of regional renewable electricity self-sufficiency targets on the power system in Germany. For this purpose, an interdisciplinary approach from social sciences and energy system modelling was chosen, which allows considering qualitative factors such as public acceptance or political stability. Following the concept of context scenarios, consistent raw scenarios are generated by a cross-impact balance analysis (CIB), and the scenarios are quantified by the unit commitment and expansion cost minimisation model ENTIGRIS considering power plants, storages, and the electricity grid. This approach enables an understanding of the system framework conditions and their relationships and allows the combination of qualitative and quantitative scenario descriptors. The most important factors for setting regional self-sufficiency targets were identified through interviews. The main system effects identified are: The regional distribution of generation capacities is strongly influenced by a more demand-oriented installation of generation capacities. This leads to less grid reinforcement, but higher rates of curtailment. In all scenarios, higher utilization of the PV roof potential instead of ground mounted could be observed. The total system costs are increasing only slightly with regional self-supply targets. In general, it was found that the influence of regional self-sufficiency targets is less pronounced in scenarios that already achieve high national RES shares than in scenarios that achieve lower shares, since technology, storage and grid expansion measures are necessary anyway to achieve high RES shares. Overall, the effects here are rather small and the regional objective is not associated with major disadvantages for the system. In a future characterised by stagnation, the system can benefit from regional targeting, as higher renewable shares and lower costs can result. The main conclusion therefore is that regional target setting seem to be beneficial for the overall power system, in terms of system cost, national RE share, acceptance and CO2-emissions.

scholarly journals A Computationally Intelligent Power Transmission Expansion Strategy in a Deregulated Energy System

2018 ◽  
Vol 2 (4) ◽  
Author(s):  
Christopher O. Ahiakwo ◽  
Sunny Orike ◽  
Ahuruezemma O. Obioma
Keyword(s):  
Hybrid Model ◽  
Transmission Lines ◽  
Power Transmission ◽  
System Optimization ◽  
Energy System ◽  
Load Forecast ◽  
Transmission Expansion ◽  
Expansion System ◽  
Expansion Model ◽  
Bus System

This paper aims to simulate a computationally intelligent electrical power transmission expansion system and study the factors affecting power transmission expansion in a deregulated energy system to improve on the current economic conditions. The main problem facing most power system transmission is the failure to actually forecast the load expansion accurately this leads to failure in the transmission expansion design. a hybrid algorithm for the ac/dc transmission expansion planning (HTEP) and  multi algebraic formulation of the stochastic TEP model in a multi-stage planning framework will be used to analyze the  transmission expansion system, optimization problem will considers a weighted  sum of multiple objectives including cost of operation and maintenance, emission, load shedding and line investments, simulation method would consider random outages of generating units and ac/dc transmission lines as well as load forecast .The independent system operator would utilize the proposed method to select the optimal set of ac/dc transmission lines for satisfying TEP criteria. The proposed set of dc transmission system may use either current source converters or voltage source converters. The proposed algorithms are simulated on IEEE 24-bus reliability test system (RTS) and Gerner’s 6 bus system   to compare optimal plans between the original and equivalent system. Further assumptions and adjustments are searched and tested to get more accurate optimal plans. results obtained showed that the hybrid model was capable of handling future generation and load patterns in deregulated, unbundled, and competitive electricity system. the results of the study showed the hybrid model was tested in the Gerner’s 6 bus system and the expansion model after a load forecast. On the IEEE 24-bus system showed that the hybrid expansion model was able to take care of the load forecast for future expansion.

Sign in / Sign up

Export Citation Format

Share Document