On the Way to Integrate Increasing Shares of Variable Renewables in China: Activating Nearby Accommodation Potential under New Provincial Renewable Portfolio Standard

More than 1.2 billion kW wind and solar power generation will be integrated in China by 2030. The new provincial renewable portfolio standard, officially implemented in 2020, establishes an efficient bridge between rapid capacity growth and limited accommodation capability. A data-driven prospect analysis framework was proposed to evaluate the activated potential under two kinds of nearby accommodation approaches and to explore the completion prospect of this new obligated quota from provincial levels. Empirical results illustrate diverse prospects across regions. Particularly, it is hard for two kinds of provinces to complete their obligated quotas merely via the single nearby accommodation approach: The first one is close to renewable energy resources but lacks flexible peak regulation capability in Northeast and Northwest China, and the other is close to the nationwide load center but lacks nearby integration from renewables in Southeast, North, and Middle China. Therefore, the pathway for the former is to activate more provincial accommodation potential either via releasing system flexibility or by substituting generation right, and the pathway for the latter is to introduce trans-regional or trans-provincial accommodation and import more renewable energy power.

A Matlab/Simulink Simulation Small Signal Stability of Single-Machine Infinite Bus Using Optimal Control Based on Load Cluster Patterns

Matlab/Simulink is sophisticated software that has been facilitated by MathWorks Inc. This device is increasingly being used in various fields of research. Likewise, it has great potential in the field of power system simulation. This paper presents a simulation of the optimal performance of the power generation system due to changes in load consumption. Small signal stability due to changes in electrical power usage at the load center is overcome by applying a load cluster pattern. The main objective of this research is to achieve control in a power generation system that is responsive and able to maintain stability in all operating conditions at the load center. Simulation results show the performance of optimal control of the power generation system in each load cluster. Contributions to improve the stability of the power plant system performance by 28.03 percent for frequency (F), 23.03 percent for voltage (V), and 29.5 percent for electric power (P).

Pengujian Karakteristik Turbin Angin Tipe Horizontal Sudu Flat Multiblade Dengan Pengaturan Sudut Sudu

One effort to overcome the energy crisis is to utilize wind energy as a power source. Angina power Plant is a method for generating electrical energy by rotating the angina turbine connected with the generator, the electric energy produced by the generator is stored in an element of electric energy storage (battery). The next one will be channeled to load center like household. The Perarancangan of the horizontal type flat Multiblade Sudu is using a microcontroller that can change the angle of the sudu according to the wind speed so as to maximize the power of wind potential energy. For a sudu angle setting that can adjust the speed of the wind, use two servo motors that have been control by the Arduinouno from the input anemometer so that the angle of the sudu can adjust the wind speed. The results have shown that the turbine-angle arrangement of the turbines can increase the rotation of the wind turbine, thereby increasing the voltage raised in the generator. The optimal angle of the Sudu is at a 15o angle, at a wind speed of 9.5 m/s, resulting in a turbine round of 610 rpm.

Voltage Estimation Method for Power Distribution Networks Using High-Precision Measurements

In this study, we propose a voltage estimation method for the radial distribution network with distributed generators (DGs) using high-precision measurements (HPMs). The proposed method uses the section loads center for voltage estimation because individual loads are not measured in the distribution system. The bus voltage was estimated through correction of the section load center by using an HPM at the end of the main feeder. The correction parameter of the section load center was calculated by comparing the initial voltage estimates and the measurements of the HPMs. After that, the voltage of the main feeder was re-estimated. Finally, the bus voltage in the lateral feeder was estimated based on the voltage estimates in the main feeder and the current measurements in the lateral feeder. The accuracy of the proposed algorithm was verified through case studies by using test systems implemented in MATLAB, Simulink, and Python environments. In order to verify the utilization of the proposed method to the practical system, a test with injection of approximately 5% of normally distributed random noise was performed. Through the results of the case studies, when an HPM is installed at the end of the main feeder, it demonstrated that the voltage estimation accuracy can be greatly improved by the proposed method. Compared with the existing methods, the proposed method was less affected by PV and showed robustness to measurement noise.

ANALISIS TEGANGAN SALURAN TRANSMISI 70 KV PADA SISTEM TIMOR DENGAN PARAMETER ABCD

ABSTRAK Umumnya pada sistem tenaga listrik letak antara pusat pembangkit dengan pusat beban berjauhan. Tenaga listrik biasanya di butuhkan saluran transmisi yang cukup panjang untuk menyalurkan daya listrik ke pusat-pusat beban tersebut. Penelitian ini di lakukan dengan menggunakan Parameter ABCD saluran transmisi untuk menentukan tegangan, arus, faktor daya serta daya yang di kirim dari GI Bolok sampai ke GI Maulafa, GI Naibonat dan GI Nonohonis. Parameter ABCD adalah suatu rangkaian kutub empat yang dapat menggambarkan saluran transmisi karena memiliki dua terminal input dan dua terminal output. Jarak saluran transmisi dari GI Bolok ke GI Maulafa 14.5 kms menggunakan penghantar jenis ACSR HAWK 240 mm2, jarak dari GI Maulafa ke GI Naibonat 35.97 kms menggunakan penghantar ACSR OSTRICH 152 mm2, jarak dari GI Naibonat ke GI Nonohonis 62.29 kms menggunakan penghantar ACSR OSTRICH 152 mm2. Hasil dari penelitian ini, untuk Saluran Bolok –Maulafa VS 69.76 kV dengan VR 68.69 kV, IS dan IR 259 A, PfS dan PfR 0.9, PS 31.27 MW dengan PR 30.07 MW. Saluran Maulafa – Naibonat VS 68.98 kV dengan VR 67.52 kV, IS dan IR 121 A, PfS dan PfR 0.9, PS 14.44 MW dengan PR 14.10 MW. Saluran Naibonat – Nonohonis VS 67.27 kV dengan VR 65.10 kV, IS dan IR 104 A PfS dan PfR 0.9, PS 12.09 MW dengan PR 11.70 MW. Saluran Bolok – Maulafa rugi-rugi daya tiap saluran sebesar 1.11 MW, regulasi tegangan 1.27 % dengan effisiensi saluran 98.14 %. Saluran Maulafa – Naibonat rugi-rugi daya sebesar 0.59 MW, regulasi tegangan 2.16 % dan effisiensi saluran 97.45 %. Saluran Naibonat – Nonohonis rugi-rugi daya sebesar 0.69 MW, regulasi tegangan 3.34 %, dan effisiensi saluran 96.38 %. Dari hasil perhitungan diatas menunjukan bahwa jatuh tegangan berada pada kondisi yang stabil berdasarkan aturan SPLN 1 1978. ABSTRACT Generally in the electric power system, the location between the power plant and the load center is far apart. Electric power usually need transmission line that has long enough line to deliver electrical power to the load centers. This research was using the ABCD Parameters to determine the voltage, current, power factor and power sent from the Bolok Substation to the Maulafa Substation, Naibonat Substation and Nonohonis Substation. The ABCD Parameter is a series of four poles that can describe the transmission line since it has two input ports and two output ports. The distance of the transmission line from Bolok Substation to Maulafa Substation is 14.5 kms using ACSR HAWK type 240 mm2, distance from Maulafa Substation to Naibonat Substation 35.97 kms using ACSR OSTRICH 152 mm2, distance from Naibonat Substation to Nonohonis Substation 62.29 kms using ACSR OSTRICH 152 mm2 152 mm2. The results of this study are Bolok – Maulafa line VS 69.76 kV with VR 68.69 kV, IS and IR 259 A, PfS and PfR 0.9, PS 31.27 MW with PR 30.07 MW. Maulafa – Naibonat line VS 68.98 kV with VR 67.52 kV, IS and IR 121 A, PfS and PfR 0.9, PS 14.44 MW with PR 14.10 MW. Naibonat – Nonohonis line VS 67.27 kV with VR 65.10 kV, IS and IR 104 A, PfS and PfR 0.9, PS 12.09 MW with PR 11.70 MW. Bolok – Maulafa line the power losses in each line are 1.11 MW, voltage regulation is 1.27%, with line efficiency is 98.14%. Maulafa - Naibonat line, the power losses of 0.59 MW, voltage regulation is 2.16%, with line efficiency of 97.45%. Naibonat - Nonohonis line, the power losses of 0.69 MW, voltage regulation is 3.34%, with line efficiency is 96.38%. The above calculation results show that the drop voltage is in a stable state based on the rule SPLN 1 1978.

Home Energy Management System for a domestic load center using Artificial Neural Networks towards Energy Integration

This paper titled ‘Home Energy Management System (HEMS) for a domestic load center using Artificial Neural Networks towards Energy Integration’ focuses on implementing intelligent integration of Distribution Generation Systems (DGS) for domestic load. The proposed energy integration by HEMS, is executed by implementing a Load Management Algorithm (LMA), which functions based on ANN forecast models. Demand Side Management (DSM) techniques are the back bone for LMA proposed in this paper. Historical temperature data and electrical load data of a domestic load center at Municipality of Birmingham, City of Alabama, USA, is considered to implement the proposed LMA. Two subroutine programs/algorithms are designed to implement the proposed LMA. First is of implementing Load Priority Techniques, to assign Load Priority for the loads for the hour based on the temperature forecast. Temperature forecast is done using Nonlinear Auto Regression with Exogenous Inputs (NARX) ANN time series model. And this is termed as Load Priority Assignment Algorithm (LPAA). Second is of predicting Threshold Power (PTh) for the hour as per load priority assigned by LPAA, this is termed as estimation of PTh. Big data driven Nonlinear Auto Regression with Exogenous Inputs (NARX) Neural Net based temperature forecasting model is implemented and used to assign hourly priority for all the appliances/loads. Big data driven Artificial Neural Network (ANN) based load power forecasting model is implemented and used to predict hourly PTh, LMA proposed for HEMS is implemented with step by step comparison of current load demand with PTh and transferring the loads between the energy sources, according to the load priority assignment from LPAA. Proposed LMA based HEMS contributes to enhance the penetration of nonconventional DGS into domestic load sector. Simulation of proposed HEMS is implemented in MATLAB-Simulink environment using MATLAB 2018b. Simulation model is embedded into target hardware: Arduino 2560 by enabling serial communication protocols between MATLAB-SIMULINK and ARDUINO. Hence the experimental setup of HEMS would be functional to prove simulation results and to transfer the loads in real time. Working Hardware model of the HEMS at domestic load center is fabricated using simple and cost effective components such as current sensor ACS712, Arduino Mega 2560, relays and relay driver circuit.

Analisis Perbandingan Efisiensi Penyaluran Listrik Antara Penghantar ACSR dan ACCC pada Sistem Transmisi 150kV

Electricity need in Indonesia continues to increase in accordance with the rate of recovery of the economy and industry and the increase in population. The transmission line transmits electricity from the power plant to the load center via the High Voltage transmission lines (SUTT) or Extra High Voltage Transmissio lines (SUTET), because the long distance causes power losses. The condition before the reconducting of Tebing Tinggi - Kuala Tanjung transmission uses ACSR conductor types and after the reconducting has been replaced by the ACCC, where ACCC has 2 times the current trying of the type of ACSR. In this study, we will examine and analyze the magnitude of the power losses and the efficiency of the distribution of the two types of ACSR and ACCC supply channels with a case study of the 150 kV transmission system Tebing Tinggi - Kuala Tanjung which has a distance of 71.5 km. From the calculation results obtained, after the reconducting process using the conductor the ACCC was able to reduce power losses and increase efficiency by 1.35%.