Traditionally, consumers were charged for using the distribution network based on their net electricity consumption for the considered period of time. But, charging the end users (with installed solar PVs) in this way, reduces their contribution to the recuperation process of network cost. With such consumers, there arises the need to redesign the distribution network pricing mechanisms in the context of active consumers so that network cost recovery can be done. This paper proposes the design of electricity distribution network tariffs considering the active residential consumers. The main objective is to design and understand the distribution network pricing with economic efficiency to recover the network cost from a DSO's point of view and to quantify and address the benefits provided by an Energy Storage System in a distribution network. This is done by incentivizing the customer response and deferring network reinforcements. The proposed method has been tested on realistic data, and the results show that the proposed method can allocate the network charges optimally.
{"title":"Network Pricing for Energy Storage in Distribution Networks","authors":"Sarita Meena, Shubham Patwari, Satish Sharma, Vikas Gupta, R. Bhakar, Parul Mathuria","doi":"10.1109/GlobConHT56829.2023.10087450","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087450","url":null,"abstract":"Traditionally, consumers were charged for using the distribution network based on their net electricity consumption for the considered period of time. But, charging the end users (with installed solar PVs) in this way, reduces their contribution to the recuperation process of network cost. With such consumers, there arises the need to redesign the distribution network pricing mechanisms in the context of active consumers so that network cost recovery can be done. This paper proposes the design of electricity distribution network tariffs considering the active residential consumers. The main objective is to design and understand the distribution network pricing with economic efficiency to recover the network cost from a DSO's point of view and to quantify and address the benefits provided by an Energy Storage System in a distribution network. This is done by incentivizing the customer response and deferring network reinforcements. The proposed method has been tested on realistic data, and the results show that the proposed method can allocate the network charges optimally.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115684742","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087784
Dilip Pandit, Atri Bera, R. K. Saket, J. Mitra, N. Nguyen
Penetration of wind energy has increased significantly in the power grid in recent times. Although wind is abundant, environment-friendly, and cheap, it is variable in nature and does not contribute to system inertia as much as conventional synchronous generators. These negative characteristics of wind lead to concerns over the frequency stability of power systems. This paper proposes a planning strategy to improve grid frequency stability by jointly deploying energy storage systems (ESSs) and geographical distribution of wind power. ESSs can provide inertial support to the grid by rapidly injecting active power into the system. At the same time, geographical separation/distribution of wind power can reduce wind power output variability and improve the inertia contribution from wind farms. The ESSs are sized based on the balance inertia needed for frequency stability, obtained using an analytical method and a mixed timing Monte Carlo simulation (MCS) based framework. The effect of the distribution of wind power across geographical regions is incorporated into the framework to study possible reductions in the ESS size while maintaining the system frequency stability. The proposed strategy is implemented on the modified WSCC 9-bus system.
{"title":"Energy Storage and Geographical Distribution of Wind Power to Improve Frequency Stability","authors":"Dilip Pandit, Atri Bera, R. K. Saket, J. Mitra, N. Nguyen","doi":"10.1109/GlobConHT56829.2023.10087784","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087784","url":null,"abstract":"Penetration of wind energy has increased significantly in the power grid in recent times. Although wind is abundant, environment-friendly, and cheap, it is variable in nature and does not contribute to system inertia as much as conventional synchronous generators. These negative characteristics of wind lead to concerns over the frequency stability of power systems. This paper proposes a planning strategy to improve grid frequency stability by jointly deploying energy storage systems (ESSs) and geographical distribution of wind power. ESSs can provide inertial support to the grid by rapidly injecting active power into the system. At the same time, geographical separation/distribution of wind power can reduce wind power output variability and improve the inertia contribution from wind farms. The ESSs are sized based on the balance inertia needed for frequency stability, obtained using an analytical method and a mixed timing Monte Carlo simulation (MCS) based framework. The effect of the distribution of wind power across geographical regions is incorporated into the framework to study possible reductions in the ESS size while maintaining the system frequency stability. The proposed strategy is implemented on the modified WSCC 9-bus system.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114454608","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087790
R. Garg, M. Veerachary
A high gain bidirectional DC-DC converter is described in this paper. This converter consist of a buck-boost topology which has continuous input current followed by a high gain switched-capacitor based boost converter [11]. The modified converter has six switches with their body diodes. The operation of switches is in such a way that three switches requires gate pulse from each side of operation. The current ripple cancellation at low voltage side and low switches voltage stress are the main feature of this modified converter. Compared to other buck-boost converters, the converter's voltage gain is more in boosting mode. The simulation study is carried out and presented for validation of the modified converter effectiveness.
{"title":"A Nonisolated Bidirectional DC-DC Converter with Current Ripple Cancellation at a Selectable Duty Ratio","authors":"R. Garg, M. Veerachary","doi":"10.1109/GlobConHT56829.2023.10087790","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087790","url":null,"abstract":"A high gain bidirectional DC-DC converter is described in this paper. This converter consist of a buck-boost topology which has continuous input current followed by a high gain switched-capacitor based boost converter [11]. The modified converter has six switches with their body diodes. The operation of switches is in such a way that three switches requires gate pulse from each side of operation. The current ripple cancellation at low voltage side and low switches voltage stress are the main feature of this modified converter. Compared to other buck-boost converters, the converter's voltage gain is more in boosting mode. The simulation study is carried out and presented for validation of the modified converter effectiveness.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557043","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087445
Stefany Yánez Rojas, Carlos Barrera-Singaña, Paul Muñoz Pilco, Darío Jaramillo Monje, Wilson Pavón
Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.
{"title":"Modelling of DC Power Equations Applied to State Estimation in High Renewable Penetration Power Systems","authors":"Stefany Yánez Rojas, Carlos Barrera-Singaña, Paul Muñoz Pilco, Darío Jaramillo Monje, Wilson Pavón","doi":"10.1109/GlobConHT56829.2023.10087445","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087445","url":null,"abstract":"Growth in power systems has led to an increase in operational complexity, highlighting the importance of maintaining them in optimal conditions. State estimation in electric power systems is a crucial tool for determining the state of transmission networks through the use of sensors and topology information. This information is then utilized for contingency analysis and error detection/identification to ensure system reliability. To maintain optimal power system operations, state estimation and its associated techniques are critical components. This work focuses on analyzing DC state estimation using a statistical method and weighted least squares methodology. Anomalous measurements are filtered and corrected using Chi-Square. The algorithm was developed in MATLAB and verified in DIgSILENT PowerFactory. The IEEE 14-bus system, with added wind turbines, was used as a test system to determine security in the power grid through estimator confidence parameters. The results provide valuable insights into the efficacy of the DC state estimation process.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117260360","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}
This research aims to analysis of WBG based inverter fed PMSM motor based on Zero d-axis (ZDAC) vector control method to control speed of interior permanent magnet synchronous motors (IPMSMs) for electric vehicle application. Considering machine's dynamic model and determine certain set of voltage references and angle to imitate speed of driving cycle. PMSM torque is consists of field torque and reluctant torque. By controlling q-axis and d-axis stator current controls both torque. By controlling ZDAC vector control of PMSM motor determine loss of inverter module with the help of co-simulation of MATLAB simulink and PLECS. Drive cycle and dynamics of vehicle present in MATLAB Simulink which gives reference signals to closed loop control of PMSM motor who presents in PLECS for inverter loss analysis. Inverter modules builds of Si, Sic MOSFETs for evaluation of loss analysis in this research article. From the analysis results WBG based inverter module has less power loss comparative to Si inverter module which is improving efficiency, fast operation of system. It contributes for higher power density of system as requirements of heat sink reduces. The dynamic performance of PMSM motor evaluates torque, power, stator current by taking an example of Kolkata drive cycle in MATLAB simulink.
{"title":"Performance Analysis of WBG Inverter Fed Electric Traction Drive System for EV Application","authors":"Sukanta Halder, Krunal Bhuvir, Soumava Bhattacharjee, Jayaram Nakka, A. Panda, Mousam Ghosh","doi":"10.1109/GlobConHT56829.2023.10087485","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087485","url":null,"abstract":"This research aims to analysis of WBG based inverter fed PMSM motor based on Zero d-axis (ZDAC) vector control method to control speed of interior permanent magnet synchronous motors (IPMSMs) for electric vehicle application. Considering machine's dynamic model and determine certain set of voltage references and angle to imitate speed of driving cycle. PMSM torque is consists of field torque and reluctant torque. By controlling q-axis and d-axis stator current controls both torque. By controlling ZDAC vector control of PMSM motor determine loss of inverter module with the help of co-simulation of MATLAB simulink and PLECS. Drive cycle and dynamics of vehicle present in MATLAB Simulink which gives reference signals to closed loop control of PMSM motor who presents in PLECS for inverter loss analysis. Inverter modules builds of Si, Sic MOSFETs for evaluation of loss analysis in this research article. From the analysis results WBG based inverter module has less power loss comparative to Si inverter module which is improving efficiency, fast operation of system. It contributes for higher power density of system as requirements of heat sink reduces. The dynamic performance of PMSM motor evaluates torque, power, stator current by taking an example of Kolkata drive cycle in MATLAB simulink.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"602 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123319205","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087595
Bineeta Mukhopadhyay, R. K. Mandal, D. Das
This paper presents a strategy for stochastic, multi-objective, hourly energy management in interconnected microgrids with battery energy storage systems and plug-in hybrid electric vehicles. The effectiveness of the stochastic energy dispatch optimization methodology is assessed on the basis of cost and emission minimization, as well as the maximization of the independence performance index of the multi-microgrid system. The probabilistic power flow solution is procured using the point estimate method, considering the impact of the uncertainties associated with the generated renewable power, consumer demand, and electric vehicle charging load. The multi-objective energy dispatch problem is solved using grey wolf optimizer. The impact of price-based demand response is investigated on the optimum energy schedule of the interconnected microgrid system, considering price-responsive electrical and heat loads.
{"title":"Optimum Hourly Energy Scheduling in Interconnected Renewable Microgrids","authors":"Bineeta Mukhopadhyay, R. K. Mandal, D. Das","doi":"10.1109/GlobConHT56829.2023.10087595","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087595","url":null,"abstract":"This paper presents a strategy for stochastic, multi-objective, hourly energy management in interconnected microgrids with battery energy storage systems and plug-in hybrid electric vehicles. The effectiveness of the stochastic energy dispatch optimization methodology is assessed on the basis of cost and emission minimization, as well as the maximization of the independence performance index of the multi-microgrid system. The probabilistic power flow solution is procured using the point estimate method, considering the impact of the uncertainties associated with the generated renewable power, consumer demand, and electric vehicle charging load. The multi-objective energy dispatch problem is solved using grey wolf optimizer. The impact of price-based demand response is investigated on the optimum energy schedule of the interconnected microgrid system, considering price-responsive electrical and heat loads.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124868926","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087498
Chunguang Lu, Mengliang Ge, Leina Song, Jiliang Wu, G. Pan, Haipeng Wang
The air source heat pump (ASHP) using electric energy instead of traditional wood burning to dry cash crops has the advantages of high automation, energy saving and environmental protection, cost reduction, and efficiency. Aiming to evaluate the energy efficiency in the process of electric heat conversion and drying heating of air source heat pumps, two levels of energy efficiency indexes have been proposed. The primary energy efficiency index can measure the utilization efficiency of electric heat conversion and recovery, and the secondary index can directly measure the output efficiency of electric energy on output. Aiming to improve the automatic ability of the drying system, a remote monitoring system of air source heat pump drying system has been designed and developed based on the Internet of Things (IoT), which can monitor the operation process and status of air source heat pump drying system online in real-time in the cloud and handheld terminal, and control the process flow of drying operation, and also can calculate the two-level energy efficiency indexes. The remote monitoring system based on IoT plays the role of protection and electricity safety. The drying experiments of edible mushrooms show that the IoT air source heat pumping drying system has the advantages of high automation, high efficiency, and convenience, and can effectively evaluate the energy efficiency of the air source heat pump in the drying process of edible mushrooms.
{"title":"Energy efficiency Evaluation Study on the Air Source Heat Pump Drying System Based on Internet of Things","authors":"Chunguang Lu, Mengliang Ge, Leina Song, Jiliang Wu, G. Pan, Haipeng Wang","doi":"10.1109/GlobConHT56829.2023.10087498","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087498","url":null,"abstract":"The air source heat pump (ASHP) using electric energy instead of traditional wood burning to dry cash crops has the advantages of high automation, energy saving and environmental protection, cost reduction, and efficiency. Aiming to evaluate the energy efficiency in the process of electric heat conversion and drying heating of air source heat pumps, two levels of energy efficiency indexes have been proposed. The primary energy efficiency index can measure the utilization efficiency of electric heat conversion and recovery, and the secondary index can directly measure the output efficiency of electric energy on output. Aiming to improve the automatic ability of the drying system, a remote monitoring system of air source heat pump drying system has been designed and developed based on the Internet of Things (IoT), which can monitor the operation process and status of air source heat pump drying system online in real-time in the cloud and handheld terminal, and control the process flow of drying operation, and also can calculate the two-level energy efficiency indexes. The remote monitoring system based on IoT plays the role of protection and electricity safety. The drying experiments of edible mushrooms show that the IoT air source heat pumping drying system has the advantages of high automation, high efficiency, and convenience, and can effectively evaluate the energy efficiency of the air source heat pump in the drying process of edible mushrooms.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124280132","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087751
Webster Adepoju, I. Bhattacharya, O. Sanyaolu, Nasr Esfahani Ebrahim, Olatunji Abiodun
This manuscript investigates the performance of an ultra-capacitor fuel cell in grid-connected mode. Voltage regulation to the ultra-capacitor was achieved with a three-level bidirectional DC-DC converter while achieving power flow from the grid to the ultra-capacitor via the bidirectional converter. The choice of a bidirectional three-level converter for voltage regulation is based on its inherently high efficiency, low harmonic profile, and compact size. Using the model equations of the converter and grid -connected inverter derived using the switching function approach, the grid's direct axis modulation index and quadrature axis modulation index, $M_{d}$ and $M_{q}$, respectively, were simulated in Matlab for both lagging and leading power factors. Moreover, the values of $M_{d}$ and $M_{q}$ were harnessed in a PLECS-based simulation of the proposed model to determine the effect of power factor correction on the current and power injection to the grid.
{"title":"Modeling and Theoretical Investigation of Grid-Interactive Ultracapacitor Fuel-Cell for Renewable Application","authors":"Webster Adepoju, I. Bhattacharya, O. Sanyaolu, Nasr Esfahani Ebrahim, Olatunji Abiodun","doi":"10.1109/GlobConHT56829.2023.10087751","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087751","url":null,"abstract":"This manuscript investigates the performance of an ultra-capacitor fuel cell in grid-connected mode. Voltage regulation to the ultra-capacitor was achieved with a three-level bidirectional DC-DC converter while achieving power flow from the grid to the ultra-capacitor via the bidirectional converter. The choice of a bidirectional three-level converter for voltage regulation is based on its inherently high efficiency, low harmonic profile, and compact size. Using the model equations of the converter and grid -connected inverter derived using the switching function approach, the grid's direct axis modulation index and quadrature axis modulation index, $M_{d}$ and $M_{q}$, respectively, were simulated in Matlab for both lagging and leading power factors. Moreover, the values of $M_{d}$ and $M_{q}$ were harnessed in a PLECS-based simulation of the proposed model to determine the effect of power factor correction on the current and power injection to the grid.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"45 8 Pt 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125698636","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087476
Gaurav Kansal, Rajive Tiwari
Demand Response (DR) programs are being used for a variety of load structure for reducing price/ load volatility and improving overall system reliability. This paper proposes a comprehensive and preferential review of different DR programs such as Price based DR (PBDR), Incentive based DR (IBDR) and a combination of both programs when applied to Iranian power grid with the aim of maximizing customer profit. On the basis of price elasticity of demand, a responsive economic DR model is proposed. Several DR programs are prioritized using Technique for Order Preference by similarity to Ideal Solution (TOPSIS) method and Analytical Hierarchy process (AHP) method is used for determining final priority. Independent System Operator (ISO) perspective, Utility's perspective view and Customer's perspective are considered as decision variables for final priority in AHP method and are given due weightage by entropy method.
{"title":"A Comprehensive and Preferential Analysis of Demand Response Programs","authors":"Gaurav Kansal, Rajive Tiwari","doi":"10.1109/GlobConHT56829.2023.10087476","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087476","url":null,"abstract":"Demand Response (DR) programs are being used for a variety of load structure for reducing price/ load volatility and improving overall system reliability. This paper proposes a comprehensive and preferential review of different DR programs such as Price based DR (PBDR), Incentive based DR (IBDR) and a combination of both programs when applied to Iranian power grid with the aim of maximizing customer profit. On the basis of price elasticity of demand, a responsive economic DR model is proposed. Several DR programs are prioritized using Technique for Order Preference by similarity to Ideal Solution (TOPSIS) method and Analytical Hierarchy process (AHP) method is used for determining final priority. Independent System Operator (ISO) perspective, Utility's perspective view and Customer's perspective are considered as decision variables for final priority in AHP method and are given due weightage by entropy method.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129807025","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 : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087687
T. A. Taha, Mohd Khair Hassan, N. A. Abdul Wahab, H. Zaynal
This study offers a new Red Deer Algorithm (RDA) optimization technique for total harmonic distortion (THD) minimization in multilevel inverters (MLIs). RDA belongs to the class of swarm-based biologically inspired optimization methods. To test the angles determined via RDA optimization, a single-phase seven-level cascade multi-level inverter with symmetrical DC sources was used in this study. The switching angles for the optimally minimized total harmonic distortion (OMTHD) were computed via RDA optimization. RDA optimization was compared to meta-heuristic algorithms like the Improved Whale Optimization Algorithm (IWOA), Whale Optimization Algorithm (WOA), Sunflower Optimizer (SFO), Particle Swarm Optimization (PSO), Krill Herd (KH), Grey Wolf Optimizer (GWO), Galactic Swarm Optimization (GSA), Genetic Algorithm (GA), Fruit Fly Optimization Algorithm (FFO) and Artificial Greyctric Field Algorithm (AEFA). The RDA optimization outperformed the ten algorithms used as benchmark frameworks in this study as it can find angles with minimum THD for the modulation index in 0–1.
{"title":"Red Deer Algorithm-Based Optimal Total Harmonic Distortion Minimization for Multilevel Inverters","authors":"T. A. Taha, Mohd Khair Hassan, N. A. Abdul Wahab, H. Zaynal","doi":"10.1109/GlobConHT56829.2023.10087687","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087687","url":null,"abstract":"This study offers a new Red Deer Algorithm (RDA) optimization technique for total harmonic distortion (THD) minimization in multilevel inverters (MLIs). RDA belongs to the class of swarm-based biologically inspired optimization methods. To test the angles determined via RDA optimization, a single-phase seven-level cascade multi-level inverter with symmetrical DC sources was used in this study. The switching angles for the optimally minimized total harmonic distortion (OMTHD) were computed via RDA optimization. RDA optimization was compared to meta-heuristic algorithms like the Improved Whale Optimization Algorithm (IWOA), Whale Optimization Algorithm (WOA), Sunflower Optimizer (SFO), Particle Swarm Optimization (PSO), Krill Herd (KH), Grey Wolf Optimizer (GWO), Galactic Swarm Optimization (GSA), Genetic Algorithm (GA), Fruit Fly Optimization Algorithm (FFO) and Artificial Greyctric Field Algorithm (AEFA). The RDA optimization outperformed the ten algorithms used as benchmark frameworks in this study as it can find angles with minimum THD for the modulation index in 0–1.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129250217","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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