scholarly journals Zero Emission Building And Conversion Factors Between Electricity Consumption And Emissions Of Greenhouse Gases In A Long Term Perspective

2014 ◽  
Vol 13 (1) ◽  
pp. 12-19 ◽  
Author(s):  
Ingeborg Graabak ◽  
Bjørn Harald Bakken ◽  
Nicolai Feilberg
Keyword(s):  
Power System ◽  
Electricity Market ◽  
Large Scale ◽  
Conversion Factor ◽  
Electricity Consumption ◽  
Life Time ◽  
Market Model ◽  
Conversion Factors ◽  
Zero Emission

Abstract The CO2 emissions from a building’s power system will change over the life time of the building, and this need to be taken into account to verify whether a building is Zero Emission (ZEB) or not. This paper describes how conversion factors between electricity demand and emissions can be calculated for the European power system in a long term perspective through the application of a large scale electricity market model (EMPS). Examples of two types of factors are given: a conversion factor for average emissions per kWh for the whole European power system as well as a marginal factor for a specific region.

scholarly journals Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part I: Principal

2012 ◽  
Vol 433-440 ◽  
pp. 7175-7182
Author(s):  
Mohammad Moradzadeh ◽  
René Boel
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Large Scale ◽  
Electric Power Systems ◽  
Coordination Control ◽  
Coordination Problem ◽  
Control Actions ◽  
System Operator

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems, where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This coordination problem involves many other issues such as communication, abstraction and last but not least optimization. This first part of the paper is devoted to the principals of the coordination control, addressing some of those issues using as a case study the problem of coordination control for avoiding voltage collapse in large-scale multi-area power systems.

scholarly journals Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2239
Author(s):  
Bin Luo ◽  
Shumin Miao ◽  
Chuntian Cheng ◽  
Yi Lei ◽  
Gang Chen ◽  
...  
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Copula Function ◽  
Market Environment ◽  
Scheduling Model ◽  
Multiple Markets ◽  
Generation Scheduling ◽  
Hydropower Plants ◽  
Proposed Model

The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

scholarly journals Voltage Coordination via Communication in Large-Scale Multi-Area Power Systems. Part II: Simulation Results

2012 ◽  
Vol 433-440 ◽  
pp. 7183-7189
Author(s):  
Mohammad Moradzadeh ◽  
René Boel
Keyword(s):  
Power Systems ◽  
Power System ◽  
Electricity Market ◽  
Large Scale ◽  
Test System ◽  
Distributed Model ◽  
Future Evolution ◽  
Distributed Model Predictive Control ◽  
Control Actions ◽  
Simulation Results

This two-part paper deals with the coordination of the control actions in a network of many interacting components, where each component is controlled by independent control agents. As a case study we consider voltage control in large electric power systems where ever-increasing pressures from the liberalization and globalization of the electricity market has led to partitioning the power system into multiple areas each operated by an independent Transmission System Operator (TSO). Coordination of local control actions taken by those TSOs is a very challenging problem as poorly coordinated operation of TSOs may endanger the power system security by increasing the risk of blackouts. This second part of the paper presents simulation results on a 12-bus 3-area test system, using the distributed model predictive control paradigm in order to design a coordinating model-based feedback controller. Coordination requires that each agent has some information on what the future evolution of its power flows to and from its neighbors will be. It will be shown that how the communication between agents can avoid voltage collapse in circumstances where classical uncoordinated controllers fail.

The cost of undisturbed landscapes: on the valuation of wind turbines in Austria

2020 ◽  
Author(s):  
Sebastian Wehrle ◽  
Johannes Schmidt
Keyword(s):  
Power System ◽  
Wind Energy ◽  
Wind Turbines ◽  
Electricity Market ◽  
House Prices ◽  
Electricity Consumption ◽  
Negative Externalities ◽  
System Cost ◽  
Electricity System ◽  
Set Up

<p>In Europe, the system cost minimizing highly renewable power system set-up predominantly relies on wind energy, with minor shares of photovoltaics.</p><p>Yet, minimizing system cost neglects negative externalities of wind turbines, such as their impact on wildlife, noise emissions, landscape aesthetics, manifesting in local economic impacts such as a decline of house prices in the vicinity of wind turbines.</p><p>To better understand the trade-off between electricity system cost and the negative externalities from wind turbines, we quantify the increase in electricity system cost when the system cost minimizing deployment of wind turbines is reduced in the favor of photovoltaics.</p><p>Methodologically, we rely on the power system model medea, an open, techno-economic, numerical model of hourly dispatch and investment, set up to resemble the electricity market in Austria and its largest electricity trading partner Germany in 2030, when Austria aims to generate 90% of its electricity consumption from domestic renewable sources on annual balance.</p><p>Depending on the capital cost of renewable energy technologies, the marginal system cost from displaced wind turbines can reach up to 40.000 EUR per MW and year or approximately 20 EUR per MWh. Moreover, CO2 emissions can increase by up to 1.2 million tons per year when wind energy is fully displaced. Producer surplus could increase by up to 220 million EUR per annum at intermediate wind energy displacement but falls back towards initial levels when wind energy is fully displaced.</p><p>These numbers compare to estimates of property price declines between 2% and 16% caused by wind turbines, depending on the proximity to, and the visibility of the turbine. For illustration, adding a 3.5 MW wind turbine to a total installed wind power capacity of 12.6 GW in Austria over its lifetime (assuming a 3% discount rate) would generate sufficient social value to compensate affected property worth between 0.8 and 6.7 million EUR.</p>

Reliability Management of the Power System in China: Present Status and Future Challenges

2014 ◽  
Vol 521 ◽  
pp. 480-484
Author(s):  
Guo Zhong Liu
Keyword(s):  
Power System ◽  
Electricity Market ◽  
System Reliability ◽  
Present Status ◽  
Large Scale ◽  
Power Transmission ◽  
Reliability Management ◽  
Future Challenges ◽  
Stochastic Characteristics ◽  
Electricity Reliability

With the developments of West-East power transmission projects, South-North power supply and the increased grid interconnections, in addition to the electricity market developments, the uncertain and stochastic characteristics of the power system operation are becoming more and more challenging and the risk of large scale blackout of the power system is increased remarkably. The electricity reliability management organization in China has been introduced. In this paper, present status of the power system reliability operation in China has been summarized and the new problems and challenges for the reliability management have been analyzed and discussed.

scholarly journals Econometric Model for Forecasting Electricity Demand of Industry and Construction Sectors in Vietnam to 2030

2020 ◽  
Vol 3 (1) ◽  
pp. First
Author(s):  
Viết Cường Võ ◽  
Phuong Hoang Nguyen ◽  
Luan Le Duy Nguyen ◽  
Van-Hung Pham
Keyword(s):  
Power System ◽  
Econometric Model ◽  
Electricity Consumption ◽  
Electricity Demand ◽  
Master Plan ◽  
Base Scenario ◽  
Leading Position ◽  
Long Term Forecasting ◽  
High Scenario

An accurate forecasting for long-term electricity demand makes a major role in the planning of the power system in any country. Vietnam is one of the most economically developing countries in the world, and its electricity demand has been increased dramatically high of about 15%/y for the last three decades. Contribution of industry and construction sectors in GDP has been increasing year by year, and are currently holding the leading position of largest consumers with more than 50% sharing in national electricity consumption proportion. How to estimate the electricity consumption of these sectors correctly makes a crucial contribution to the planning of the power system. This paper applies an econometric model with Cobb Douglas production function - a top-down method to forecast electricity demand of the industry and construction sectors in Vietnam to 2030. Four variables used are the value of the sectors in GDP, income per person, the proportion of electricity consumption of the sectors in total, and electric price. Forecasted results show that the proposed method has a quite low MAPE of 7.66% for long-term forecasting. Variable of electric price does not affect the demand. This is a very critical result of the study for authority governors in Vietnam. In the base scenario of the GDP and the income per person, the forecasted electricity demands of the sectors are 112,853 GWh, 172,691 GWh, and 242,027 GWh in 2020, 2025, 2030, respectively. In high scenario one, the demands are 115,947 GWh, 181,591 GWh, and 257,272 GWh, respectively. The above values in the high scenario are less than from 9.0% to 15.8 % of that of the based on in the Revised version of master plan N0. VII.

scholarly journals P2H Modeling and Operation in the Microgrid Under Coupled Electricity–Hydrogen Markets

2021 ◽  
Vol 9 ◽  
Author(s):  
Hongxin Liu ◽  
Yueyao Wang ◽  
Feifei Xu ◽  
Mengkai Wu ◽  
Kai Jiang ◽  
...  
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Proton Exchange Membrane ◽  
Proton Exchange ◽  
Market Model ◽  
Electrolysis Cell ◽  
Unified Modeling ◽  
Upper Level ◽  
Alkaline Electrolysis ◽  
Exchange Membrane

The uncertainty and volatility of wind power have led to large-scale wind curtailment during grid connections. The adoption of power-to-hydrogen (P2H) system in a microgrid (MG) can mitigate the renewable curtailment by hydrogen conversion and storage. This paper conducts unified modeling for different types of P2H systems and considers the multi-energy trading in a hydrogen-coupled power market. The proposed bi-level equilibrium model is beneficial to minimize the energy cost of microgrids. Firstly, a microgrid operation model applied to different P2H systems including an alkaline electrolysis cell (AEC), a proton exchange membrane electrolysis cell (PEMEC), or a solid oxide electrolysis cell (SOEC) is proposed at the upper level. Secondly, an electricity market–clearing model and a hydrogen market model are constructed at the lower level. Then, the diagonalization algorithm is adopted to solve the multi-market equilibrium problem. Finally, case studies based on an IEEE 14-bus system are conducted to validate the proposed model, and the results show that the microgrid with a P2H system could gain more profits and help increase the renewable penetration.

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