Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981857
Mubbashir Ali, Jussi Ekström, A. Alahäivälä, M. Lehtonen
The increased penetration of intermittent renewable generation has already resulted in spilling and it is projected that renewable energy curtailment level will continue to soar. This paper presents a framework to assess the flexibility of domestic thermal loads and Electric vehicles (EVs) charging load for power sink as a means to reduce wind energy curtailment during different times of a year. The objective of the framework is to jointly optimize the flexible loads to mitigate the curtailment thereby increasing the utilization of intermittent renewable generation. The proposed model is applied to the Finnish power system. The simulation results suggested that the proper activation of demand response (DR) is a feasible curtailment mitigation option but with an important caveat that potential subdued as the renewable penetration increases in the system.
{"title":"Assessing the upward demand response potential for mitigating the wind generation curtailment: A case study","authors":"Mubbashir Ali, Jussi Ekström, A. Alahäivälä, M. Lehtonen","doi":"10.1109/EEM.2017.7981857","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981857","url":null,"abstract":"The increased penetration of intermittent renewable generation has already resulted in spilling and it is projected that renewable energy curtailment level will continue to soar. This paper presents a framework to assess the flexibility of domestic thermal loads and Electric vehicles (EVs) charging load for power sink as a means to reduce wind energy curtailment during different times of a year. The objective of the framework is to jointly optimize the flexible loads to mitigate the curtailment thereby increasing the utilization of intermittent renewable generation. The proposed model is applied to the Finnish power system. The simulation results suggested that the proper activation of demand response (DR) is a feasible curtailment mitigation option but with an important caveat that potential subdued as the renewable penetration increases in the system.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116076728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981987
Lukas Nacken, T. Möbius
We develop a fundamental electricity market model which optimizes the future capacity mix regarding the emission reduction targets and renewable deployment targets for the majority of the European Union member states. By applying that model, we can show the distributional effects between a theoretical harmonized and the current national planning of emission and renewable energy targets. Based on our research, we identify economic inefficiencies in the national climate targets of individual member states.
{"title":"The effects of harmonized European climate policy targets in comparison to national targets utilizing a European electricity market model","authors":"Lukas Nacken, T. Möbius","doi":"10.1109/EEM.2017.7981987","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981987","url":null,"abstract":"We develop a fundamental electricity market model which optimizes the future capacity mix regarding the emission reduction targets and renewable deployment targets for the majority of the European Union member states. By applying that model, we can show the distributional effects between a theoretical harmonized and the current national planning of emission and renewable energy targets. Based on our research, we identify economic inefficiencies in the national climate targets of individual member states.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123529797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981938
Esther Mengelkamp, P. Staudt, Johannes Garttner, Christof Weinhardt
Increasing renewable energy sources and innovative information and communication systems open up new challenges and opportunities to integrate distributed generation into the energy supply system. Formerly centralized energy systems need to be adapted to take full advantage of the immense potential of decentralized energy generation and smart, interconnected energy end users. We introduce a local electricity market on which prosumers and consumers of a community are able to trade electricity directly amongst each other. This local electricity market supports the local integration of renewable energy generation. It facilitates a local balance of energy supply and demand and hence reduces the need for extensive electricity transmission. We introduce, evaluate and compare two local market designs, a direct peer-to-peer market and a closed order book market, as well as two agent behaviors, zero-intelligence agents and intelligently bidding agents. We derive four scenarios by combining each market design with each agent behavior, respectively. All market scenarios offer similar economic advantages for the market participants. However, the peer-to-peer market with intelligent agents appears to be the most advantageous as it results in the lowest average overall electricity price.
{"title":"Trading on local energy markets: A comparison of market designs and bidding strategies","authors":"Esther Mengelkamp, P. Staudt, Johannes Garttner, Christof Weinhardt","doi":"10.1109/EEM.2017.7981938","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981938","url":null,"abstract":"Increasing renewable energy sources and innovative information and communication systems open up new challenges and opportunities to integrate distributed generation into the energy supply system. Formerly centralized energy systems need to be adapted to take full advantage of the immense potential of decentralized energy generation and smart, interconnected energy end users. We introduce a local electricity market on which prosumers and consumers of a community are able to trade electricity directly amongst each other. This local electricity market supports the local integration of renewable energy generation. It facilitates a local balance of energy supply and demand and hence reduces the need for extensive electricity transmission. We introduce, evaluate and compare two local market designs, a direct peer-to-peer market and a closed order book market, as well as two agent behaviors, zero-intelligence agents and intelligently bidding agents. We derive four scenarios by combining each market design with each agent behavior, respectively. All market scenarios offer similar economic advantages for the market participants. However, the peer-to-peer market with intelligent agents appears to be the most advantageous as it results in the lowest average overall electricity price.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115666362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981903
E. Dimitrova, N. Chokani, R. Abhari
This work investigates the impact of no license renewal for both reactors of Bulgaria's Kozloduy nuclear power plant. High spatial and temporal resolution power flow simulations for ten interconnected countries in central and southeastern Europe are conducted for 2016–2020. To account for new wind capacity, a novel approach that optimizes wind turbine placement in each new wind power plant and ranks the wind plants in terms of financial performance is used. It is shown that as the reactors are decommissioned, generation in Bulgaria shifts towards coal. CO2 emissions increase by 20% in 2020 compared to 2013. Electricity prices increase by 10% and 25%, respectively, with one and two reactors shutdown. Bulgaria changes from being a net exporter to an importer. Nevertheless, security of supply in terms of covering demand through imports is not compromised.
{"title":"Managing energy risk — A case study of Bulgaria with no nuclear power","authors":"E. Dimitrova, N. Chokani, R. Abhari","doi":"10.1109/EEM.2017.7981903","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981903","url":null,"abstract":"This work investigates the impact of no license renewal for both reactors of Bulgaria's Kozloduy nuclear power plant. High spatial and temporal resolution power flow simulations for ten interconnected countries in central and southeastern Europe are conducted for 2016–2020. To account for new wind capacity, a novel approach that optimizes wind turbine placement in each new wind power plant and ranks the wind plants in terms of financial performance is used. It is shown that as the reactors are decommissioned, generation in Bulgaria shifts towards coal. CO2 emissions increase by 20% in 2020 compared to 2013. Electricity prices increase by 10% and 25%, respectively, with one and two reactors shutdown. Bulgaria changes from being a net exporter to an importer. Nevertheless, security of supply in terms of covering demand through imports is not compromised.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127504896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981862
M. Kotouza, Antonios C. Chrysopoulos, P. Mitkas
In recent years, the liberation of distribution and energy services has led towards competitive Energy Market environments. In these Markets, the participating suppliers need to provide more reliable services, specifically tailored to each customer or group of customers with similar needs. Thus, it is important to identify the consumer types in their portfolio, through Customer Load Profiling. In this paper, algorithms that provide robust and reliable clustering results are examined, as tools for meaningful Low Voltage consumers' segmentation. A number of experiments on two different data sets were implemented to provide an insight to the proposed attributes' input selection. Additionally, a set of custom pricing schemes was produced based on the segmentation results and the peak and cost reduction are estimated. The results are promising and enhance our understanding of the long-term gains that can be obtained by well-defined customer segmentation and the design of individualized pricing schemes.
{"title":"Segmentation of low voltage consumers for designing individualized pricing policies","authors":"M. Kotouza, Antonios C. Chrysopoulos, P. Mitkas","doi":"10.1109/EEM.2017.7981862","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981862","url":null,"abstract":"In recent years, the liberation of distribution and energy services has led towards competitive Energy Market environments. In these Markets, the participating suppliers need to provide more reliable services, specifically tailored to each customer or group of customers with similar needs. Thus, it is important to identify the consumer types in their portfolio, through Customer Load Profiling. In this paper, algorithms that provide robust and reliable clustering results are examined, as tools for meaningful Low Voltage consumers' segmentation. A number of experiments on two different data sets were implemented to provide an insight to the proposed attributes' input selection. Additionally, a set of custom pricing schemes was produced based on the segmentation results and the peak and cost reduction are estimated. The results are promising and enhance our understanding of the long-term gains that can be obtained by well-defined customer segmentation and the design of individualized pricing schemes.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7982025
B. Breitschopf, Jakob Wachsmuth
This paper analyses how strongly EU energy policies have driven electricity wholesale prices. Especially, it investigates whether the activities of the Energy Union directed to increasing competition in the electricity system, creating an internal market without barriers for electricity flows, supplying sustainable and secure electricity, has led to a decline in electricity prices. Therefore, renewable shares, degree of competition, cross border flows as well as fossil fuel prices and demand for electricity serve as explaining variables in a fixed/random effects model. The results suggest a significant impact of renewable energies, competition and market integration on wholesale electricity prices. Moreover, the analysis displays that increasing RE levies offset the decline in energy supply costs, which results in increasing retail prices.
{"title":"What is the impact of the EU Energy Union on electricity prices? Results for selected member states","authors":"B. Breitschopf, Jakob Wachsmuth","doi":"10.1109/EEM.2017.7982025","DOIUrl":"https://doi.org/10.1109/EEM.2017.7982025","url":null,"abstract":"This paper analyses how strongly EU energy policies have driven electricity wholesale prices. Especially, it investigates whether the activities of the Energy Union directed to increasing competition in the electricity system, creating an internal market without barriers for electricity flows, supplying sustainable and secure electricity, has led to a decline in electricity prices. Therefore, renewable shares, degree of competition, cross border flows as well as fossil fuel prices and demand for electricity serve as explaining variables in a fixed/random effects model. The results suggest a significant impact of renewable energies, competition and market integration on wholesale electricity prices. Moreover, the analysis displays that increasing RE levies offset the decline in energy supply costs, which results in increasing retail prices.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128445638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981866
Xiaomei Cheng, M. Korpås, H. Farahmand
Electrification is widely considered as a viable strategy for reducing the negative environmental impacts of the energy system. Following this strategy, most attention has been paid to electrification of road transportation, i.e., electric vehicles. In addition, substantial potentials could be exploited in the electrification of offshore oil and gas platforms, as an alternative to on-site gas turbines. In our research, we focus on electrification of the offshore oil and gas installations in the Norwegian continental shelf. We apply a net transfer capacity (NTC) based power market model to analyse the economic consequence of the Norwegian offshore platforms electrification on six Northern European countries. The power market model comprises Norway, Denmark, Sweden, Finland, Germany, and the Netherlands. The objective of the optimisation model is to minimize the operating cost of the power system over the lifetime of the oil and gas offshore platform considered for electrification. The operating cost comprises the sum of fuel cost, start-up cost, and carbon emission cost for all generators. We analysed three scenarios for electrification and carbon prices, and we assumed a development path of wind and solar power that is in line with EU climate policy up to 2050. Firstly, we investigate the power system performance without considering environmental taxes. Secondly, we incorporate the carbon emission cost into the optimisation model to analyse how this affects the production mix in simulated countries. Finally, we introduce the electrification of offshore platforms in Norway into our model to calculate the marginal costs and emissions associated with the increased power consumption. The lifetime for the North Sea offshore platforms' electrification in our research is assumed to be up to the year 2058.
{"title":"The impact of electrification on power system in Northern Europe","authors":"Xiaomei Cheng, M. Korpås, H. Farahmand","doi":"10.1109/EEM.2017.7981866","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981866","url":null,"abstract":"Electrification is widely considered as a viable strategy for reducing the negative environmental impacts of the energy system. Following this strategy, most attention has been paid to electrification of road transportation, i.e., electric vehicles. In addition, substantial potentials could be exploited in the electrification of offshore oil and gas platforms, as an alternative to on-site gas turbines. In our research, we focus on electrification of the offshore oil and gas installations in the Norwegian continental shelf. We apply a net transfer capacity (NTC) based power market model to analyse the economic consequence of the Norwegian offshore platforms electrification on six Northern European countries. The power market model comprises Norway, Denmark, Sweden, Finland, Germany, and the Netherlands. The objective of the optimisation model is to minimize the operating cost of the power system over the lifetime of the oil and gas offshore platform considered for electrification. The operating cost comprises the sum of fuel cost, start-up cost, and carbon emission cost for all generators. We analysed three scenarios for electrification and carbon prices, and we assumed a development path of wind and solar power that is in line with EU climate policy up to 2050. Firstly, we investigate the power system performance without considering environmental taxes. Secondly, we incorporate the carbon emission cost into the optimisation model to analyse how this affects the production mix in simulated countries. Finally, we introduce the electrification of offshore platforms in Norway into our model to calculate the marginal costs and emissions associated with the increased power consumption. The lifetime for the North Sea offshore platforms' electrification in our research is assumed to be up to the year 2058.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124929873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981861
Fabian Ocker
In this paper, seven European Frequency Restoration Reserve (FRR) auctions (positive and negative) are investigated both theoretically and empirically. First, the seven FRR market environments (i.e. supply sides and auction designs) are illustrated. Then, a theoretic analysis of the seven FRR auctions is presented. For this, we identify the underlying cost structures and develop the bidding calculus for each FRR auction. These analyses yield conditions for optimal bidding strategies, i.e. profit maximizing bids. We confront our theoretic findings with empirical auction results in the time span from 2014 to mid 2016. Here, we measure the performance of FRR auctions by the extent of which the submitted bids match theoretic predictions. The central result is that empirical auction data of five FRR auctions do not match theoretical predictions. Finally, we conclude implications for a harmonized European FRR auction design.
{"title":"Design and performance of European balancing power auctions","authors":"Fabian Ocker","doi":"10.1109/EEM.2017.7981861","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981861","url":null,"abstract":"In this paper, seven European Frequency Restoration Reserve (FRR) auctions (positive and negative) are investigated both theoretically and empirically. First, the seven FRR market environments (i.e. supply sides and auction designs) are illustrated. Then, a theoretic analysis of the seven FRR auctions is presented. For this, we identify the underlying cost structures and develop the bidding calculus for each FRR auction. These analyses yield conditions for optimal bidding strategies, i.e. profit maximizing bids. We confront our theoretic findings with empirical auction results in the time span from 2014 to mid 2016. Here, we measure the performance of FRR auctions by the extent of which the submitted bids match theoretic predictions. The central result is that empirical auction data of five FRR auctions do not match theoretical predictions. Finally, we conclude implications for a harmonized European FRR auction design.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125080676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981901
Constantin Dierstein
Although Flow Based Market Coupling (FBMC) attempts to predict physical line flows, the algorithm is prone to errors. The cause of prediction errors bases on the dependency of FBMC on linearized parameters like the Generation Shift Keys (GSK). The value of GSK is determined by the calculation strategy and the considered power plants. This paper investigates the impact of both influences under the implementation of a detached Austrian bidding zone in the Central Western European Region (CWE). The results show significant impact of GSK values on the European harmonization process as well as on trade, welfare and congestions for single bidding zones whereas no strategy emerge as generally beneficial.
{"title":"Impact of Generation Shift Key determination on flow based market coupling","authors":"Constantin Dierstein","doi":"10.1109/EEM.2017.7981901","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981901","url":null,"abstract":"Although Flow Based Market Coupling (FBMC) attempts to predict physical line flows, the algorithm is prone to errors. The cause of prediction errors bases on the dependency of FBMC on linearized parameters like the Generation Shift Keys (GSK). The value of GSK is determined by the calculation strategy and the considered power plants. This paper investigates the impact of both influences under the implementation of a detached Austrian bidding zone in the Central Western European Region (CWE). The results show significant impact of GSK values on the European harmonization process as well as on trade, welfare and congestions for single bidding zones whereas no strategy emerge as generally beneficial.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-06-06DOI: 10.1109/EEM.2017.7981850
P. Gomes, J. Saraiva
In recent years, power systems have been watching important advancements related with Plug-in-Electrical Vehicles (PEVs), Demand Side Management (DSM), Distributed Generation (DG), Microgrid and Smart Grid installations that directly affect distribution networks while impacting indirectly on Transmission studies. These changes will lead to an extra flexibility on the transmission-distribution boundary and to a significant modification of the load patterns, that are an essential input to planning studies. In this scope, this paper describes a multiyear Transmission Expansion Planning (TEP) solved by Evolutionary Particle Swarm Optimization (EPSO) and incorporating the impact of solar DG penetration. The primary substation load profiles and the solar generation profiles are taken into account on the planning problem. The numerical simulations were conducted using the IEEE 24 bus reliability test system in which the planning horizon is 3 years and the load growth is 2.5 % per year. If demand and solar DG peaks are coincident, then the liquid demand seen by the transmission network gets reduced enabling a reduction of investment costs. In the tested cases, these peaks were not coincident so that the optimal expansion plan remains unchanged even though the injected power from DG is large. This stresses the fact that solar DG may not on an isolated way contribute to alleviate the demand seen by transmission networks but should be associated with storage devices or demand side management programs.
{"title":"Transmission system planning considering solar distributed generation penetration","authors":"P. Gomes, J. Saraiva","doi":"10.1109/EEM.2017.7981850","DOIUrl":"https://doi.org/10.1109/EEM.2017.7981850","url":null,"abstract":"In recent years, power systems have been watching important advancements related with Plug-in-Electrical Vehicles (PEVs), Demand Side Management (DSM), Distributed Generation (DG), Microgrid and Smart Grid installations that directly affect distribution networks while impacting indirectly on Transmission studies. These changes will lead to an extra flexibility on the transmission-distribution boundary and to a significant modification of the load patterns, that are an essential input to planning studies. In this scope, this paper describes a multiyear Transmission Expansion Planning (TEP) solved by Evolutionary Particle Swarm Optimization (EPSO) and incorporating the impact of solar DG penetration. The primary substation load profiles and the solar generation profiles are taken into account on the planning problem. The numerical simulations were conducted using the IEEE 24 bus reliability test system in which the planning horizon is 3 years and the load growth is 2.5 % per year. If demand and solar DG peaks are coincident, then the liquid demand seen by the transmission network gets reduced enabling a reduction of investment costs. In the tested cases, these peaks were not coincident so that the optimal expansion plan remains unchanged even though the injected power from DG is large. This stresses the fact that solar DG may not on an isolated way contribute to alleviate the demand seen by transmission networks but should be associated with storage devices or demand side management programs.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"52 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129370957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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