M. Nazari, S. Hosseinian, Seyyed Mohammad Sadegh Ghiasi, Mehrdad Bagheri Sanjareh, M. Moradi
{"title":"A novel strategy for economic management of distribution networks in bilateral energy markets contemplating electrical storage, thermal generations and distributed generations private behavior","authors":"M. Nazari, S. Hosseinian, Seyyed Mohammad Sadegh Ghiasi, Mehrdad Bagheri Sanjareh, M. Moradi","doi":"10.1109/EPDC53015.2021.9610759","DOIUrl":"https://doi.org/10.1109/EPDC53015.2021.9610759","url":null,"abstract":"This study is presented a novel policy for management of hour-ahead active and reactive market considering privatization of Distributed generations (DG). The studied network in this paper is included Double Feed Induction Generator (DFIG) wind turbines, battery energy storage systems and thermal units. The economic environment in this study is a forward day-ahead bilateral market. These privately owned wind turbine units use batter storage systems (BES) owned by a distribution networks, which forms an integrated distributed system with storage (DFIG-BES) on some buses. In order to maximizing benefit of the distribution networks the standard IEEE 33 bus system is utilized. Determining the contribution of the BESs, thermal units, DFIG-BESs and DFIGs, their generations, power exchange with the substation, voltage level of each bus and benefit of the distribution network can be attained by implementing and AC power flow in GAMS software. Economic competition and market model is stand on a forward day-ahead bilateral planning and distribution networks that have contract with suppliers. For solving the problem and optimization, a mixed integer nonlinear programing method is employed. The results confirm that using the proper strategy in determining the portion of active and reactive power of the units owned or contracted by the distribution company on an hourly basis can significantly improve the voltage level, reduce losses and line congestion, and ultimately leads to increase of the profit of the distribution company.","PeriodicalId":142680,"journal":{"name":"2021 25th Electrical Power Distribution Conference (EPDC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134415853","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}
{"title":"Distributed Energy Sources Planning for Micro-Grid Using Slime Mould Algorithm Considering the Uncertainty of the Resources","authors":"Ramin Horri, Hossein Mahdinia Roudsari","doi":"10.1109/EPDC53015.2021.9610772","DOIUrl":"https://doi.org/10.1109/EPDC53015.2021.9610772","url":null,"abstract":"Using of distributed generation resources is increasing to improve reliability in power systems. Benefits such as reducing network losses and pollution have increased the focus on these resources. In this paper, the planning of distributed generation resources with the aim of grid loss minimization has investigated. The research is conducted with regard to the nature and locations of DERS considering the dynamic daily load variations. Furthermore, the uncertainty of the solar and wind power is put into practice. In order to minimize the network loss while meeting the operation constraints, the Slime Mould Algorithm (SMA) is deployed for increasing the plan accuracy and robustness. The proposed scheme is tested on IEEE33-bus test network and the results are compared to the ones obtained from other methods presented in the literature.","PeriodicalId":142680,"journal":{"name":"2021 25th Electrical Power Distribution Conference (EPDC)","volume":"343 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120887467","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}
{"title":"An Efficient Earthing System Design for Different Sections of Alborz Electricity Distribution Company Using IEEE Std. 142","authors":"M. Hosseini, M. Shivaie, A. Golmohammadi","doi":"10.1109/EPDC53015.2021.9610768","DOIUrl":"https://doi.org/10.1109/EPDC53015.2021.9610768","url":null,"abstract":"Earthing system design plays a vital role in safe and secure operation of the power distribution networks. With respect to the high prices of copper-based elements during recent years, the earlier designs for these earthing systems bring about high costs. With that in mind, the costs of the implemented earthing systems and their reliability are taken into account as major challenge that must be assessed by the electricity distribution company. In technical terms, cost of these systems is considerably affected via the soil type and the earthing electrodes. Therefore, it is indispensable that the soil type of the different parts of the Alborz province are examined and classified in order to design the earthing systems with lower costs. To that end, the different earthing methods described in IEEE Std. 142 are studied. According to this standard, 14 different designs can be proposed and implemented in the different parts of the Alborz province in such a way that the most effectiveness earthing system with the lower implementation costs are achieved. On the other hand, due to the different types of soils in the Alborz province, results obtained in this study can be applied for other provinces of the IRAN.","PeriodicalId":142680,"journal":{"name":"2021 25th Electrical Power Distribution Conference (EPDC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129263166","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}
M. R. Sheykhha, Majid Dehghani, A. Fereidunian, Amirhossein Nikoofard
{"title":"A Game-Theoretic Model for Retail Electricity Market Using Adaptive Expectations Learning","authors":"M. R. Sheykhha, Majid Dehghani, A. Fereidunian, Amirhossein Nikoofard","doi":"10.1109/EPDC53015.2021.9610797","DOIUrl":"https://doi.org/10.1109/EPDC53015.2021.9610797","url":null,"abstract":"Establishing a retail market and formulating customers' choices improves market competitiveness in a restructured system. Competition among retailers increases the choices and enhances the economic interest of the consumers. This paper presents a competition model in the retail market based on the Bertrand game. Unlike most of the recent studies, in this paper, the effect of distribution line constraints is considered on competitive prices. Moreover, a learning-based method called adaptive expectations is presented for the retailers with lower market potential, to improve their performance in an oligopolistic market. The results show that the capacity of distribution network lines directly affects the level of competition among retailers. The line constraints may change the situation to the advantage of or at the disadvantage of one or more retailers in the market. The learning method used in the paper has expressed itself as improving the retailers' profit with a smaller market potential of up to 20%, while other retailers experience declining profits.","PeriodicalId":142680,"journal":{"name":"2021 25th Electrical Power Distribution Conference (EPDC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122203384","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}
{"title":"Security Assessment and Reliability Improvement with considering Demand Response","authors":"Farhad Amin, Mohammad Mahdi Borhan Elmi","doi":"10.1109/EPDC53015.2021.9610824","DOIUrl":"https://doi.org/10.1109/EPDC53015.2021.9610824","url":null,"abstract":"With expanding of power system infrastructure, the possibility of consumer's participation in system security and reliability improvement programs has increased. To evaluate the effectiveness of demand response (DR), two indices have been studied. In the first stage, a performance index (PI) for security assessment was introduced and has been used to identify critical points of the transmission system in normal and emergency conditions. In the next stage, the Energy not supplied (ENS) index was calculated with different percentages of DR penetration. In this study, the information of the Khorasan 400 kV transmission system has been used. To investigate the sensitivity of PI and ENs due to customer's participation, such indices were calculated for 5% and 25% demand responsivity.","PeriodicalId":142680,"journal":{"name":"2021 25th Electrical Power Distribution Conference (EPDC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128734462","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}