Pub Date : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065977
P. Kádár
In this paper a novel autonomous micro-market operation method is shown on the Low Voltage network. The centralized national and global level can't provide adaptive, dynamic and flexible local control on the lowest level household generation-consumption in narrow circle. Although many storage devices are offered energy remains expensive and unsustainable. In this operation the small energy producers are allowed prosumer-prosumer direct trade of the surplus energy beside the traditional utility supply. The system requires a local household energy control box with internet link. The box transmits autonomous bids for the pool for the next period and makes short term bilateral contract with a prosumer that can reschedule its load by the offers. Through this operation huge amount of reschedulable consumption capacities can be involved in the demand side management.
{"title":"Autonomous Micro-Market Operation on the Low Voltage Network","authors":"P. Kádár","doi":"10.1109/ISAP48318.2019.9065977","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065977","url":null,"abstract":"In this paper a novel autonomous micro-market operation method is shown on the Low Voltage network. The centralized national and global level can't provide adaptive, dynamic and flexible local control on the lowest level household generation-consumption in narrow circle. Although many storage devices are offered energy remains expensive and unsustainable. In this operation the small energy producers are allowed prosumer-prosumer direct trade of the surplus energy beside the traditional utility supply. The system requires a local household energy control box with internet link. The box transmits autonomous bids for the pool for the next period and makes short term bilateral contract with a prosumer that can reschedule its load by the offers. Through this operation huge amount of reschedulable consumption capacities can be involved in the demand side management.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115964878","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065934
S. Mishra, D. Upadhyay, Maneesha Gupta
The Bilinear transform is widely used in IIR filter designing for the mapping of s and z planes. This transforms gives a stable first-order s-to-z mapping function. However, it suffers from frequency warping which deteriorates the digitally transformed system. In this work, an attempt has been made to develop an efficient first-order s-to-z mapping using PSO (particle swarm optimization) algorithm. The proposed s-to-z mapping function gives better linear mapping from s-to-z plane than the existing Bilinear transform. Therefore, proposed mapping function is less prone to frequency warping effect in IIR filter designing. Several mathematical simulations have been done to see the authenticity and merits of the proposed s-to-z mapping function.
{"title":"Optimized First-order s-to-z Mapping Function for IIR Filter Designing","authors":"S. Mishra, D. Upadhyay, Maneesha Gupta","doi":"10.1109/ISAP48318.2019.9065934","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065934","url":null,"abstract":"The Bilinear transform is widely used in IIR filter designing for the mapping of s and z planes. This transforms gives a stable first-order s-to-z mapping function. However, it suffers from frequency warping which deteriorates the digitally transformed system. In this work, an attempt has been made to develop an efficient first-order s-to-z mapping using PSO (particle swarm optimization) algorithm. The proposed s-to-z mapping function gives better linear mapping from s-to-z plane than the existing Bilinear transform. Therefore, proposed mapping function is less prone to frequency warping effect in IIR filter designing. Several mathematical simulations have been done to see the authenticity and merits of the proposed s-to-z mapping function.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124956240","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065989
I. A. Ibrahim, M. J. Hossain, B. Duck, A. Badar
This paper proposes a new hybrid algorithm with a combination between the wind driven optimization (WDO) algorithm and the differential evolution with integrated mutation per iteration (DEIM) algorithm. The proposed algorithm, a wind driven optimization based on differential evolution with integrated mutation per iteration (WDO-based on DEIM) algorithm, is utilized to extract the unknown parameters in both of a single-diode photovoltaic (PV) cell model and a double-diode PV cell model. To show the effectiveness of the proposed model, its performance is validated internally by comparing the generated current-voltage (I-V) characteristic curves by the proposed algorithm with the actual I-V characteristic curves, and externally with those obtained by the WDO and DEIM algorithms. The results show the superiority of the proposed model. According to the normalized-root-mean-square error (nRMSE), the mean absolute percentage error (MAPE) and the coefficient of determination ($R^{2}$) of the achieved results, the proposed WDO-based on DEIM algorithm outperforms the aforementioned algorithms. Finally, the average efficiency of the WDO-based on DEIM algorithm is 95.31%, while it is 81.08% for the WDO algorithm and 88.37% for DEIM algorithm in the single-diode PV cell model. While, it is 96.78% based on WDO-based on DEIM algorithm and it is 92.30% for the WDO algorithm and 91.42% for DEIM algorithm in the double-diode PV cell model.
本文提出了一种将风力优化(WDO)算法与差分进化(DEIM)算法相结合的混合算法。提出了一种基于差分进化和每迭代集成突变的风力优化算法(WDO-based on DEIM)，用于提取单二极管光伏电池模型和双二极管光伏电池模型中的未知参数。为了证明所提出模型的有效性，内部通过将所提出算法生成的电流-电压(I-V)特征曲线与实际的I-V特征曲线进行比较，外部通过与WDO和DEIM算法得到的特征曲线进行比较来验证其性能。结果表明了该模型的优越性。从所得结果的归一化均方根误差(nRMSE)、平均绝对百分比误差(MAPE)和决定系数($R^{2}$)来看，本文提出的基于DEIM的wdo算法优于上述算法。最后，基于DEIM算法的WDO平均效率为95.31%，而在单二极管光伏电池模型中，WDO算法和DEIM算法的平均效率分别为81.08%和88.37%。而在双二极管光伏电池模型中，基于DEIM算法的WDO和DEIM算法的准确率分别为96.78%和92.30%。
{"title":"Parameters Extraction of a Photovoltaic Cell Model Using a Co-evolutionary Heterogeneous Hybrid Algorithm","authors":"I. A. Ibrahim, M. J. Hossain, B. Duck, A. Badar","doi":"10.1109/ISAP48318.2019.9065989","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065989","url":null,"abstract":"This paper proposes a new hybrid algorithm with a combination between the wind driven optimization (WDO) algorithm and the differential evolution with integrated mutation per iteration (DEIM) algorithm. The proposed algorithm, a wind driven optimization based on differential evolution with integrated mutation per iteration (WDO-based on DEIM) algorithm, is utilized to extract the unknown parameters in both of a single-diode photovoltaic (PV) cell model and a double-diode PV cell model. To show the effectiveness of the proposed model, its performance is validated internally by comparing the generated current-voltage (I-V) characteristic curves by the proposed algorithm with the actual I-V characteristic curves, and externally with those obtained by the WDO and DEIM algorithms. The results show the superiority of the proposed model. According to the normalized-root-mean-square error (nRMSE), the mean absolute percentage error (MAPE) and the coefficient of determination ($R^{2}$) of the achieved results, the proposed WDO-based on DEIM algorithm outperforms the aforementioned algorithms. Finally, the average efficiency of the WDO-based on DEIM algorithm is 95.31%, while it is 81.08% for the WDO algorithm and 88.37% for DEIM algorithm in the single-diode PV cell model. While, it is 96.78% based on WDO-based on DEIM algorithm and it is 92.30% for the WDO algorithm and 91.42% for DEIM algorithm in the double-diode PV cell model.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121918585","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065932
A. Malkhandi, N. Senroy, S. Mishra
Stability of a Grid Tied Inverter at the point of common coupling is subject to interaction between the inverter control and the passive elements of the grid. Stability study of such a system is performed using the Impedance based criteria. The overall impedance of an inverter is a function of the control system and therefore its parameters plays a critical role in preserving the stability. The paper derives the sensitivity of the impedance return ratio to change in controller gains and explores their dependence on the overall stability. Sensitivity functions has been formulated with respect to each design parameters i.e the controller gains. It has been observed that return ratio shaping at low frequency will be dominated by PLL controller gain changes, whereas for mid to high frequency range, the current controller gain change will play a vital role. The reference parameters for the current control also plays a significant role in improving the return ratio trajectory at low frequency range.
{"title":"On the Parametric Dependence of the Stability of a Current Controlled Grid Tied Inverter","authors":"A. Malkhandi, N. Senroy, S. Mishra","doi":"10.1109/ISAP48318.2019.9065932","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065932","url":null,"abstract":"Stability of a Grid Tied Inverter at the point of common coupling is subject to interaction between the inverter control and the passive elements of the grid. Stability study of such a system is performed using the Impedance based criteria. The overall impedance of an inverter is a function of the control system and therefore its parameters plays a critical role in preserving the stability. The paper derives the sensitivity of the impedance return ratio to change in controller gains and explores their dependence on the overall stability. Sensitivity functions has been formulated with respect to each design parameters i.e the controller gains. It has been observed that return ratio shaping at low frequency will be dominated by PLL controller gain changes, whereas for mid to high frequency range, the current controller gain change will play a vital role. The reference parameters for the current control also plays a significant role in improving the return ratio trajectory at low frequency range.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129745131","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065960
C. N. Bhende, G. Mohan, A. Srivastava
Natural calamities all over the globe have emphasized the need for operative solutions that can improve the resilience of Power Distribution Networks (PDN) under the scenario of the adverse effects. PDN is comprised of various loads, sources and storage system. Mixed-Integer linear programming (MILP) is used to schedule the battery as well as loads to improve the resiliency of the power system. This work aims at maintaining energy balance between sources and loads, subject to the constraints of serving critical loads for a possibly longer time. The enhancement of high critical loads' resiliency is achieved by managing the battery storage capacity in steps of allotted slabs. A resiliency metric, which is a qualitative index of the resiliency of the considered network is also determined. To test the effectiveness of the optimization technique on the considered network, it is tested for different restoration periods on MATLAB environment.
{"title":"Control of PV-Battery System for Resiliency Improvement","authors":"C. N. Bhende, G. Mohan, A. Srivastava","doi":"10.1109/ISAP48318.2019.9065960","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065960","url":null,"abstract":"Natural calamities all over the globe have emphasized the need for operative solutions that can improve the resilience of Power Distribution Networks (PDN) under the scenario of the adverse effects. PDN is comprised of various loads, sources and storage system. Mixed-Integer linear programming (MILP) is used to schedule the battery as well as loads to improve the resiliency of the power system. This work aims at maintaining energy balance between sources and loads, subject to the constraints of serving critical loads for a possibly longer time. The enhancement of high critical loads' resiliency is achieved by managing the battery storage capacity in steps of allotted slabs. A resiliency metric, which is a qualitative index of the resiliency of the considered network is also determined. To test the effectiveness of the optimization technique on the considered network, it is tested for different restoration periods on MATLAB environment.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304679","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065938
Poonam Singhal, Sagar
In a broad ranging a green building includes a building which is outline, constructed, operated, maintained and reuse by considering the maximum conservation of energy in all phases. First objective of a green building is related to human health, maximum use of natural resources, reduction in electrical energy consumption, maximum utilization of renewable energy and reduction of environmental pollutants. Reflective and systematic site design and expansion practices help to minimize the energy consumption and improve performance of a building. In this paper a case study on energy efficient with intelligent technique in construction and operation of newly constructed hospital building has been presented. Main purpose behind this study is to analysis the strategy is there in hospital green building where the scope of further minimization of electrical energy consumption and maximize the utilization of natural resources which results in maximum percentage of savings in energy. All the electrical instruments used in building are based on Energy Conservation Building Code and Bureau of Energy Efficiency rated. In this paper main focus is on HVAC system, Water Treatment Plant, Building Management System, Solar Water Heating System, Solid Waste Generation and Management and Sewage Treatment Plant.
{"title":"A Case Study on Energy Efficient Green Building with New Intelligent Techniques Used to Achieve Sustainable Development Goal","authors":"Poonam Singhal, Sagar","doi":"10.1109/ISAP48318.2019.9065938","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065938","url":null,"abstract":"In a broad ranging a green building includes a building which is outline, constructed, operated, maintained and reuse by considering the maximum conservation of energy in all phases. First objective of a green building is related to human health, maximum use of natural resources, reduction in electrical energy consumption, maximum utilization of renewable energy and reduction of environmental pollutants. Reflective and systematic site design and expansion practices help to minimize the energy consumption and improve performance of a building. In this paper a case study on energy efficient with intelligent technique in construction and operation of newly constructed hospital building has been presented. Main purpose behind this study is to analysis the strategy is there in hospital green building where the scope of further minimization of electrical energy consumption and maximize the utilization of natural resources which results in maximum percentage of savings in energy. All the electrical instruments used in building are based on Energy Conservation Building Code and Bureau of Energy Efficiency rated. In this paper main focus is on HVAC system, Water Treatment Plant, Building Management System, Solar Water Heating System, Solid Waste Generation and Management and Sewage Treatment Plant.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122990178","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065959
H. C. Ancelmo, F. L. Grando, B. M. Mulinari, Clayton H. da Costa, A. Lazzaretti, E. Oroski, D. Renaux, Fabiana Pottker, C. Lima, R. Linhares
The extraction of features that defines the electric power signature of a load or an appliance is one of the most relevant stages for the Non-Intrusive Load Monitoring (NILM) problem. In general, harmonic content, damping and transient switching features are normally used to classify different loads connected or disconnected in a consumer unit. In this sense, this work compares five different approaches of the Prony's method (Polynomial, Least Squares, Total Least Squares, Matrix Pencil, and IIR-based) with the aim of simplifying the order of the model and provide an analytic solution to the problem of estimating the harmonic content (frequency, phase, and amplitude) with the exponential damping factor for current signals. Using the components from Prony's method as steady-state and transient features, an Ensemble classifier is used to perform the classification of the different waveforms of two publicly available databases (COOLL and LIT). With that, we show that the proposed method achieves 98% for the COOLL dataset and 97% for the LIT database, using the Matrix Pencil approach.
{"title":"A Transient and Steady-State Power Signature Feature Extraction Using Different Prony's Methods","authors":"H. C. Ancelmo, F. L. Grando, B. M. Mulinari, Clayton H. da Costa, A. Lazzaretti, E. Oroski, D. Renaux, Fabiana Pottker, C. Lima, R. Linhares","doi":"10.1109/ISAP48318.2019.9065959","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065959","url":null,"abstract":"The extraction of features that defines the electric power signature of a load or an appliance is one of the most relevant stages for the Non-Intrusive Load Monitoring (NILM) problem. In general, harmonic content, damping and transient switching features are normally used to classify different loads connected or disconnected in a consumer unit. In this sense, this work compares five different approaches of the Prony's method (Polynomial, Least Squares, Total Least Squares, Matrix Pencil, and IIR-based) with the aim of simplifying the order of the model and provide an analytic solution to the problem of estimating the harmonic content (frequency, phase, and amplitude) with the exponential damping factor for current signals. Using the components from Prony's method as steady-state and transient features, an Ensemble classifier is used to perform the classification of the different waveforms of two publicly available databases (COOLL and LIT). With that, we show that the proposed method achieves 98% for the COOLL dataset and 97% for the LIT database, using the Matrix Pencil approach.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133082714","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065962
A. Bhowmik, A. Chakraborty, S. Mukherjee
Transmission topology is constituted of enormous number of branches. To increase the reliability of the system, excess unused branches are built, that come into operation only in order to counter emergency outage situations. For different system conditions, there exist different types of optimal network configurations. Additional network management option to the operator is provided by Transmission Network Topology Control (TNTC), in case of system overload. TNTC brings about a significant reduction in losses along with violation relief and increased cost effectiveness of the entire power system. In this paper, the benefits of using TNTC to reduce post-contingency overloads has been analyzed and examined. Real time contingency analysis (RTCA) is used to identify the vulnerable contingency overloads. The candidate switching solution determination is done by using two proposed algorithms. Both the algorithms use sensitivity indexes. The two algorithms are based on transmission switching distribution index (TSDI) and flow transfer distribution index (FTDI) respectively. FTDI based TNTC method can be considered as an updated version of TSDI based TNTC method, in which network flow distribution is taken into consideration. Simulations have been performed to depict the individual effectiveness of both the approaches.
{"title":"Impact of Sensitivity Index Based Transmission Network Topology Control on Contingency Constraints","authors":"A. Bhowmik, A. Chakraborty, S. Mukherjee","doi":"10.1109/ISAP48318.2019.9065962","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065962","url":null,"abstract":"Transmission topology is constituted of enormous number of branches. To increase the reliability of the system, excess unused branches are built, that come into operation only in order to counter emergency outage situations. For different system conditions, there exist different types of optimal network configurations. Additional network management option to the operator is provided by Transmission Network Topology Control (TNTC), in case of system overload. TNTC brings about a significant reduction in losses along with violation relief and increased cost effectiveness of the entire power system. In this paper, the benefits of using TNTC to reduce post-contingency overloads has been analyzed and examined. Real time contingency analysis (RTCA) is used to identify the vulnerable contingency overloads. The candidate switching solution determination is done by using two proposed algorithms. Both the algorithms use sensitivity indexes. The two algorithms are based on transmission switching distribution index (TSDI) and flow transfer distribution index (FTDI) respectively. FTDI based TNTC method can be considered as an updated version of TSDI based TNTC method, in which network flow distribution is taken into consideration. Simulations have been performed to depict the individual effectiveness of both the approaches.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133948892","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065945
A. Jain
A bi-level optimization approach has been proposed to develop the optimal strategy of a generator considering double sided market, congestion effect and rivals bidding strategy. Market clearing process of the System Operator is represented by lower level optimization problem and generator's profit maximization function is represented by upper level optimization problem, which is a nonlinear. Hence, optimal solution of the proposed bi-level optimization formulation has been obtained using Artificial Bee Colony algorithm. The effectiveness of the proposed method has been tested on 5-bus system. Results are compared with the Sequential Quadratic Programming based classical approach.
{"title":"Bi-Level Optimization Problem to Develop Optimal Strategy of a Generator in Competitive Environment","authors":"A. Jain","doi":"10.1109/ISAP48318.2019.9065945","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065945","url":null,"abstract":"A bi-level optimization approach has been proposed to develop the optimal strategy of a generator considering double sided market, congestion effect and rivals bidding strategy. Market clearing process of the System Operator is represented by lower level optimization problem and generator's profit maximization function is represented by upper level optimization problem, which is a nonlinear. Hence, optimal solution of the proposed bi-level optimization formulation has been obtained using Artificial Bee Colony algorithm. The effectiveness of the proposed method has been tested on 5-bus system. Results are compared with the Sequential Quadratic Programming based classical approach.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132131010","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 : 2019-12-01DOI: 10.1109/ISAP48318.2019.9065951
Gabriel Santos, T. Pinto, Z. Vale, J. Corchado
This work introduces a multi-agent systems' society, in power and energy, for simulation and decision support. A semantic data model is considered to describe the domain concepts, providing a way to achieve semantic communication between the systems involved. Sharing a common vocabulary enables systems' interoperability. A semantic registration and search platform, where systems can register their services and/or search for services they require, is also considered to facilitate interoperability in a (semi-)automatic way. Advanced context-aware decision support models and methods based on a strong artificial intelligence approach are also available to enhance players' outcomes from their participation in the sector. The case study presents an integrated laboratorial simulation and emulation infrastructure, enabling a realistic test and validation of the results.
{"title":"Multi-agent semantic interoperability in complex energy systems simulation and decision support","authors":"Gabriel Santos, T. Pinto, Z. Vale, J. Corchado","doi":"10.1109/ISAP48318.2019.9065951","DOIUrl":"https://doi.org/10.1109/ISAP48318.2019.9065951","url":null,"abstract":"This work introduces a multi-agent systems' society, in power and energy, for simulation and decision support. A semantic data model is considered to describe the domain concepts, providing a way to achieve semantic communication between the systems involved. Sharing a common vocabulary enables systems' interoperability. A semantic registration and search platform, where systems can register their services and/or search for services they require, is also considered to facilitate interoperability in a (semi-)automatic way. Advanced context-aware decision support models and methods based on a strong artificial intelligence approach are also available to enhance players' outcomes from their participation in the sector. The case study presents an integrated laboratorial simulation and emulation infrastructure, enabling a realistic test and validation of the results.","PeriodicalId":316020,"journal":{"name":"2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127889271","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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