{"title":"ORCA Algorithm for Unit Commitment Considering Electric Vehicle Inclusion","authors":"A.N. Afandi","doi":"10.46962/forteijeeri.v2i1.18","DOIUrl":"https://doi.org/10.46962/forteijeeri.v2i1.18","url":null,"abstract":"The most cost-effective operation of a power system is achieved in practice by combining different types of producing units to create a committed power plan to satisfy load demand changes at all periods of operation. To reduce overall costs while upholding set limitations, power outputs from generating units are distributed based on load demand at a certain moment. Economic Dispatch models are used to account for changes in load demand to compute the overall cost variations of operation to fulfill a unit commitment (UC). Orca Algorithm is used in this work to solve the UC problem with the IEEE-62 bus system as the model, where loads are linked with flexible loads where the flexible load in this study is determined by the driving habits of an electric vehicle (EV). The simulation results show that the Orca Algorithm solves the problem in the fewest iterations possible. Computations used to compute load demand changes over all periods are fast and smooth, with high convergence. UC problem is carried out in various power outputs, and total operating expenses. Furthermore, the EV has different driving characteristics as well as power users to cover the entire route for driving patterns with one-way and two trips.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131300468","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":"Best Estimation Of Double Seasonal Pattern Electric Load Parameters Using Least Squares Method","authors":"Ismit Mado","doi":"10.46962/forteijeeri.v2i1.11","DOIUrl":"https://doi.org/10.46962/forteijeeri.v2i1.11","url":null,"abstract":"Forecasting is an important tool in planning an effective and efficient use of electrical loads. This paper presents an improvement in parameter estimation from previous studies. The results of previous studies indicate that the DSARIMA model is with MAPE about 2.06 percent. This model produces white noise residuals, but not normally distributed, which is thought to be due to outliers. Data smoothing is done to get the best data pattern. The analysis results show that the AR parameter iteration of the best DSARIMA model that is appropriate for short-term forecasting is with MAPE about 1.56 percent.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122573918","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":"The MAPWE-Boosted AEKF with Recursive-Against-Iteration Noise Statistic for Feature-Based SLAM Algorithm","authors":"Heru Suwoyo","doi":"10.46962/forteijeeri.v2i1.22","DOIUrl":"https://doi.org/10.46962/forteijeeri.v2i1.22","url":null,"abstract":"The unknown noise statistic might degrade the Filter performance or even lead to filter divergence. Accordingly, to enhance the classical EKF to approximate the recursive process and measurement noise statistic, based on Maximum A Posteriori creation and Weighted Exponent (WE) as the divergence suppression method, abbreviated as MAPWE, an adaptive EKF is proposed through this paper. Moreover, the existence of simplification during estimating noise statistics under MAP creation might also degrade its quality. Thus, the suboptimal MAP solution was also estimated based on Weighted Exponent. Indeed, the time-varying noise statistic under this process seems strongly accurate. But the complexity of the measurement covariance might also diverge from its positive definite characteristic. Thus, aiming to prevent this condition, the additional divergence suppression method was also involved in correcting the error state covariance in the smoothing step. This improvement is then used as SLAM algorithm for a mobile robot. Comparing to the conventional methods, it is better in term of RMSE for the estimated path and estimated map. ","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125291886","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":"Wireless Sensor Network Nodal Development for Low Cost and Low Power PH Soil Monitoring Agriculture 4.0 Application","authors":"G. Hakim, M. Hafidz, A. Firdausi, Eko Ramadhan","doi":"10.46962/forteijeeri.v1i2.16","DOIUrl":"https://doi.org/10.46962/forteijeeri.v1i2.16","url":null,"abstract":"According to a report from the United Nations estimates that by 2030 about 800 million people worldwide will suffer from hunger. To combat this problem the agricultural production needs to be increased by at least 60%. One of many parameters that need to be monitor to increase agricultural output was soil PH level. Soil PH is very influential on the development of rice plants, where high acidity soil will make plant unhealthy and die. In order to be able monitor soil PH level, we need low cost and long life WSN node that can monitor soil PH level. In this paper we have manage to a long life WSN node that can monitor PH level with low cost at about less than 15 US dollar. this WSN node PH meter are using couple of aluminum and lead couple electrode as sensor, and its deviation at about 0.73 compare with ATC 009 PH meter which only 0.55. This device also capable to operate for so long (which is 2 years operational time) using 0.1 duty cycle scheme.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130647111","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":"Initial Design of Dual-Axis Solar Tracker to Increase Efficiency of Monocrystalline Solar Panel Using Fuzzy Logic Method","authors":"Levin Halim","doi":"10.46962/forteijeeri.v1i2.17","DOIUrl":"https://doi.org/10.46962/forteijeeri.v1i2.17","url":null,"abstract":"Fossils and mines become the main sources for producing the electricity in Indonesia. Due to availability of the sources, the price gets higher and it has a bad impact to the environment. Therefore, we need a new source to produce the electricity. A solar energy can be a solution, it has an unlimited availability and it’s eco-friendly. Solar panel can be a media to convert sun energy to electrical energy. Solar panel will be more efficient if the face of the panel always facing toward the sun. In this research, a panel will be designed so it can always move towards the sun movement. Fuzzy logic method will be use to the tracking method because it can increase the efficiency higher. Fuzzy logic systems consist of 4 input and 2 output. The inputs are based on each LDR sensor and the output is the motor on each axis. Based on the calculation horizontal has a 0,73% error and the vertical has 0,41%.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130502052","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":"Design of Environmentally Friendly Air Conditioning System Based on Thermo Electric Peltier Tec1-12706","authors":"Akbar Sujiwa","doi":"10.46962/forteijeeri.v1i2.12","DOIUrl":"https://doi.org/10.46962/forteijeeri.v1i2.12","url":null,"abstract":"Environmentally friendly problems have been widely studied in scientific journals, one of which is the use of gases that can damage the environment in a variety of cooling devices such as refrigerators and air conditioners (AC). In the past two decades, most of the refrigeration engines were still using Chloro Fluoro Carbons (CFC) gas, which had been researched in fact could damage the ozone layer. One alternative is to use freon gas to replace CFC gas as a component of air conditioning. Until now, CFC gas has been completely replaced by freon gas in the use of household appliances. But the use of this gas still has a bad side, especially for humans, when it inhaled in a certain amount can cause death. Therefore, in this study an air conditioning device with a main component was designed using thermoelectric TEC1-12706 which utilizes the Peltier effect in producing cold temperatures. This device is able to cooling a room with dimension 12 m2 in the interval of time 120 minutes to a temperature of 28.1 °C.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"331 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117063192","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}
Machrus Ali, Hidayatul Nurohmah, Rukslin, Dwi Ajiatmo, M Agil Haikal
{"title":"Hybrid Design Optimization of Heating Furnace Temperature using ANFIS-PSO","authors":"Machrus Ali, Hidayatul Nurohmah, Rukslin, Dwi Ajiatmo, M Agil Haikal","doi":"10.46962/forteijeeri.v1i2.21","DOIUrl":"https://doi.org/10.46962/forteijeeri.v1i2.21","url":null,"abstract":"-- Intelligent control design for industrial heating furnace temperature control is indispensable. PID, Fuzzy, and ANFIS controllers have been proven reliable and have been widely used. However, it is constrained in choosing a better gain controller. Then an approach method is given to determine the most appropriate controller gain value using the artificial intelligence tuning method. The artificial intelligence method used is a combination of the Adaptive Neuro Fuzzy Inference System and Particle Swarm Optimization (ANFIS-PSO) methods. As a comparison, several methods were used, namely; Conventional PID (PID-Konv), Matlab Auto tuning PID (PID-Auto), PSO tuned PID (PID-PSO), and Hybrid ANFIS-PSO. The ANFIS-PSO controller is the best choice compared to conventional single loop control systems, conventional PID, and matlab 2013a auto tuning methods to control this nonlinear process. The simulation results show that the ANFIS-PSO design is the best method with overshot = 0.0722, undershot 0.0085, and settling time at 18.8789 seconds which can produce a fast response with strong dynamic performance.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314164","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":"Design And Build Up Of Sphygmomanometer Based On Android Supplemented With Food Recommendations","authors":"N. Wulandari, Kemalasari, N. Tamami","doi":"10.46962/forteijeeri.v1i2.9","DOIUrl":"https://doi.org/10.46962/forteijeeri.v1i2.9","url":null,"abstract":"Blood pressure is a measure of how strong the heart is to pump blood around the body. Abnormal blood pressure can occur due to high blood pressure (hypertension) or low blood pressure (hypotension). Data from the World Health Organization (WHO) in 2015 showed that around 1.13 billion people in the world have hypertension, meaning that 1 in 3 people in the world are diagnosed with hypertension. Therefore, a sphygmomanometer was designed that could digitally detect blood pressure and provide food recommendations to stabilize blood pressure. The detection of blood pressure is carried out by the oscillometry method where the oscillation value occurs when blood first flows into the artery after clogging. Systolic blood pressure is determined by multiplying the Mean Arterial Pressure by 0.8. Meanwhile, diastolic blood pressure is determined by multiplying the Mean Arterial Pressure by 0.5. The results of the blood pressure will be displayed on the LCD display and sent to the smartphone. On the smartphone, blood pressure results and food recommendations will be displayed through the android application to make it easier for patients to remember recommended foods and monitor their own blood pressure results without the help of a medical or doctor.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261633","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}
Christina Purwaningsih, S. Sarjiya, Yusuf Susilo Wijoyo
{"title":"Value of Loss Load Analysis of Java-Bali System Based on Macro Economic Data","authors":"Christina Purwaningsih, S. Sarjiya, Yusuf Susilo Wijoyo","doi":"10.46962/FORTEIJEERI.V1I1.7","DOIUrl":"https://doi.org/10.46962/FORTEIJEERI.V1I1.7","url":null,"abstract":"Industrial and business sectors have big influence to gross domestic product in some regions (GDP). Beside that, GDP is influenced by electricity consumption. That statement is the reason why value of loss load (VOLL) had to be calculated. This research calculates VOLL for getting the value of outage cost, efficiency and productivity industrial and business sector in each Area Pengaturan Beban (APB) and in entire Java-Bali region. VOLL is calculated by macroeconomic analysis because this method has more time efficiency than survey analysis. VOLL forecasting in 2016-2023 are calculated too in this research. After that, the outage cost forecasting in hierarchical level 1 (HL 1) can be gotten if expected energy not supplied (EENS) from HL 1 is calculated. Before EENS calculation is held, analysis of another reliability indices such as loss of load expectation (LOLE) and loss of load probability (LOLP) were calculated. The calculation results show that VOLL in 2017 is 35,100.67 Rp/kWh and EENS in HL 1 is 7.25 MWh. Total outage cost from calculation is 289 million rupiahs.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125330376","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. A. Rosyied, S. Sarjiya, L. M. Putranto, Izzuddin Fathin Azhar, Eko Yudo Pramono
{"title":"A Determination of PV and Wind Power Plant Penetration into a Power System","authors":"M. A. Rosyied, S. Sarjiya, L. M. Putranto, Izzuddin Fathin Azhar, Eko Yudo Pramono","doi":"10.46962/FORTEIJEERI.V1I1.5","DOIUrl":"https://doi.org/10.46962/FORTEIJEERI.V1I1.5","url":null,"abstract":"PT. PLN (Persero) has planned to develop a new renewable energy which has a minimum energy mix of 23% in 2025 and 31% in 2030. An intermittent renewable energy plant, which is uncontrollable and unpredictable, will begin to be massively used. Associated to the intermittent nature of the of intermittent renewable energy source (IRES), adequate system flexibility is necessary. This study determined the penetration level IRES generating unit using the systems load and existing generating unit ramping rate characteristic, IRES generating unit’s ramping rate and system’s technical minimum load (TML) on the Java Bali System based on the 2017 operation condition. The results showed that the TML value of the operating plant was 12164,69 MW. The ramping up and down capabilities of conventional power plants are 945.04 MW / 30 min and 4006.08 MW / 30 min where ± 5% of penetration of IRES was still applicable for the Java Bali System.","PeriodicalId":175469,"journal":{"name":"Journal FORTEI-JEERI","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121540882","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}