Optimum Operation Planning of Wind Farm Using Forecasted Power Data of Wind Turbine Generators Considering Forecasted Error

Kazuki Ogimi,Atsushi Yona,Tomonobu Senjyu,Toshihisa Funabashi,Endusa Billy Muhando,Chul Hwan Kim 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5

In order to solve problems of global warming and depletion of energy resource, renewable energy systems such as wind generation is getting attention. In this optimal operation method, we introduce forecasted output power data of wind turbine generator which is calculated from Grid Point Value (GPV) data of wind speed. And we are considering forecasted error in GPV data. The optimization target is smoothed the output power fluctuation of a wind farm (WF) and is aimed to obtain more benefit for electric power selling. The optimization method uses tabu search (TS).

Multi-Objective Optimization of ATCTr Considering Optimum Placement and Weather Conditions in Distribution Systems

Ryuto Shigenobu,Atsushi Yona,Tomonobu Senjyu 전력전자학회 2015 ICPE(ISPE)논문집 Vol.2015 No.6

Distributed Generators (DGs) using Renewable Energy Sources (RESs) have a huge economical and environmental potential. However, high penetration of DGs in distribution systems cause voltage deviations beyond the statutory range, and can cause reverse power flow toward the substation transformer. It is essential to control and maintain the distribution voltage within proper range to ensure both a stable power supply and good power quality. To accomplish this, an autotap- changer pole transformer (ATCTr) is introduced to solve this problem. However, the ATCTr is more expensive than ordinary pole transformers. Minimizing the voltage deviation as well as minimizing the introduction cost of an ATCTr have a trade-off relationship. Accordingly, this paper presents the application of multi-objective optimization methods in order to minimize the voltage deviation while simultaneously minimizing the number of introduced ATCTrs and finding an optimum placement of the ATCTrs to attain optimum operation of the distribution system.

Demand Response Considering Participation Rate in Smart Grid

Ryuto Shigenobu,Atsushi Yona,Tomonobu Senjyu 제어로봇시스템학회 2017 제어로봇시스템학회 국제학술대회 논문집 Vol.2017 No.10

High penetration of distributed generators (DGs), using renewable energy sources (RESs), is raising some important issues in the operation of modern power system. The power output of RESs fluctuates very steeply, and that include uncertainty with weather conditions. This situation causes voltage deviation and reverse power flow. Several methods have been proposed for solving these problems. Fundamentally, these methods involve reactive power control for voltage deviation and/or the installation of large battery energy storage system (BESS) at the interconnection point for reverse power flow. In order to reduce the installation cost of static var compensator (SVC), Distribution Company (DisCo) gives reactive power incentive to the cooperating customers. On the other hand, photovoltaic (PV) generator, energy storage and electric vehicle (EV) are introduced in customer side with the aim of achieving zero net energy homes (ZEHs). This paper proposes not only reactive power control but also active power flow control using house BESS and EV. Moreover, incentive method is proposed to promote participation of customers in the control operation. Demand response (DR) system is verified with several DR menu. To create profit for both side of DisCo and customer, two level optimization approach is executed in this research. Mathematical modeling of price elasticity and detailed simulations are executed by case study. The effective of proposed incentive menu is demonstrated by using heuristic optimization method.

Autonomous Frequency and Voltage Control by Decentralized Controllable Loads with Smart Grid

Kinjyo, Yoshihisa,Yona, Atsushi,Urasaki, Naomitsu,Senjyu, Tomonobu,Funabashi, Toshihisa The Korean Institute of Electrical Engineers 2012 The Journal of International Council on Electrical Vol.2 No.4

In recent years, amount of renewable energy facilities using wind turbine generator and photovoltaic power system have been increased due to natural environment and resource depletion. Moreover, all electrification apartment houses or residences and electric vehicles have been increased. However, due to the fluctuating power from renewable energy sources and loads, fluctuations of grid frequency and distributed voltage become problematic. This paper presents a methodology of control system frequency and distributed voltage by distributed controllable loads such as heat pump and electric vehicles. By applying power consumption controller using distribution control and $H_{\infty}$ control, fluctuations of grid frequency and voltage are suppressed around a desired value. In order to verify the effectiveness of the proposed system, $MATLAB^{(R)}/Simulink^{(R)}$ is used for computed simulations.

Optimal Operation of Smart Grid with Fuel Cell in Isolated Islands

Kinjy, Yoshihisa,Asato, Bungo,Yona, Atsushi,Senjyu, Tomonobu,Funabashi, Toshihisa,Kim, Chul-Hwan The Korean Institute of Electrical Engineers 2012 The Journal of International Council on Electrical Vol.2 No.4

From the perspective of global warming suppression and depletion of energy resources, renewable energy such as wind generation (WG), photovoltaic facility (PV) and fuel cell (FC) are getting attention in distribution systems. On the other hand, the usage of an all-electrification house is increasing in the world. So the controllable loads such as electric water heater, heat pump, and electric vehicles are introduced to the power system. In addition, the controllable load could accomplish to shift the peak demand in daytime to the low demand in nighttime and it is effective method for leveling the load and upgrading the load factor. The authors propose an optimization approach to determine operational planning of WG, PV facility, diesel generator (DG), battery energy storage system (BESS), FC and hydrogen generation facility. In this optimization approach, it is assumed that forecasted data of wind speed, solar insolated, and load demands are available. The proposed method uses tabu search and genetic algorithm for optimization method. Optimizing procedure is divided into two parts. Firstly, actual load is controlled by controllable load. Secondly, the schedule of diesel generator units commitment problem is decided in the revised load. The simulation results show the reduction of operational cost.

Smoothing Output Power Variations of Isolated Utility Connected Multiple PV Systems by Coordinated Control

Manoj Datta,Tomonobu Senjyu,Atsushi Yona,Hideomi Sekine,Toshihisa Funabashi 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.2

A Photovoltaic (PV) system’s power output varies with the change of climate. Frequency deviations, tie line voltage swings are caused by the varying PV power when large PV power from several PV systems is fed in the utility. In this paper, to overcome these problems, a simple coordinated control method for smoothing the variations of combined PV power from multiple PV systems is proposed. Here, output power command is formed in two steps: central and local. Fuzzy control is used to produce the central smoothing output power command considering insolation, variance of insolation and absolute average of frequency deviation. In local step, a simple coordination is kept between the central power command and the local power commands by producing a common tuning factor. Power converters are used to achieve the same output power as local command power employing PI control law for each of the PV generation systems. The proposed method is compared with the method where conventional Maximum Power Point Tracking (MPPT) control is used for each of the PV systems. Simulation results show that the proposed method is effective for smoothing the output power variations and feasible to reduce the frequency deviations of the power utility.

A Coordinated Control Method for Leveling Output Power Fluctuations of Multiple PV Systems

Tomonobu Senjyu,Manoj Datta,Atsushi Yona,Hideomi Sekine,Toshihisa Funabashi 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-

A Photovoltaic (PV) system’s power output fluctuates with the change of weather conditions. Frequency deviations, tie line voltage fluctuations etc. are caused by fluctuating PV power when large PV power from several PV systems is penetrated in the utility. In this paper, to overcome these problems, a simple coordinated control method for leveling the fluctuations of combined PV power from multiple PV systems is proposed. Here, output power command is generated in two steps: central and local. Fuzzy control is used to generate the central leveling output power command considering insolation, variance of insolation and absolute average of frequency deviation. In local step, a simple coordination is maintained between central power command and local power commands by producing a common tuning factor. Power converters are used to achieve the same output power as local command power employing PI control law for each of the PV generation systems. The proposed method is compared with the method where conventional Maximum Power Point Tracking (MPPT) control is used for each of the PV system’s power output. Simulation results show that the proposed method is effective for leveling output power fluctuations and feasible to reduce the frequency deviations of the power utility.

Smoothing Output Power Variations of Isolated Utility Connected Multiple PV Systems by Coordinated Control

Datta, Manoj,Senjyu, Tomonobu,Yona, Atsushi,Sekine, Hideomi,Funabashi, Toshihisa The Korean Institute of Power Electronics 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.2

A Photovoltaic (PV) system's power output varies with the change of climate. Frequency deviations, tie line voltage swings are caused by the varying PV power when large PV power from several PV systems is fed in the utility. In this paper, to overcome these problems, a simple coordinated control method for smoothing the variations of combined PV power from multiple PV systems is proposed. Here, output power command is formed in two steps: central and local. Fuzzy control is used to produce the central smoothing output power command considering insolation, variance of insolation and absolute average of frequency deviation. In local step, a simple coordination is kept between the central power command and the local power commands by producing a common tuning factor. Power converters are used to achieve the same output power as local command power employing PI control law for each of the PV generation systems. The proposed method is compared with the method where conventional Maximum Power Point Tracking (MPPT) control is used for each of the PV systems. Simulation results show that the proposed method is effective for smoothing the output power variations and feasible to reduce the frequency deviations of the power utility.

A Fuzzy-Logic Based Output Power Smoothing Method of WECS with Permanent Magnet Synchronous Generator using Inertia of Wind Turbine

Uehara, Akie,Senjyu, Tomonobu,Yona, Atsushi,Funabashi, Toshihisa,Kim, Chul-Hwan The Korean Institute of Electrical Engineers 2011 The Journal of International Council on Electrical Vol.1 No.3

This paper presents a fuzzy-logic-based output power smoothing method of a wind energy conversion system (WECS) with a permanent magnet synchronous generator (PMSG) using the inertia of wind turbine. The generator-side converter controls the generator torque of the PMSG, while the grid-side inverter controls the DC-link and grid voltages, respectively. For the generator-side converter, the torque command is determined by using the fuzzy logic. Inputs the fuzzy logic are the operating point of the rotational speed of the PMSG and the difference between the wind turbine torque and the generator torque. By means of the proposed method, the generator torque can be smoothed and the kinetic energy stored by the inertia of the wind turbine can be utilized to smooth the power fluctuations of the PMSG, and the wind turbine's shaft stress is mitigated compared to a conventional maximum power point tracking (MPPT) control. Effectiveness of the proposed method is verified by the numerical simulations.

A Study on Energy Reduction of Solar Desiccant Air-Conditioning Syste

Uchida, Kosuke,Senjyu, Tomonobu,Yona, Atsushi,Urasaki, Naomitsu The Korean Institute of Electrical Engineers 2012 The Journal of International Council on Electrical Vol.2 No.1

This paper evaluated energy saving, such as reduction of energy, cost and $CO_2$ emission, by comparing the performance of solar desiccant air-conditioning system with the performance of heat pump air-conditioning system. The performances of both air-conditioning systems placed on office building are analyzed. The meteorological data of Naha city in Okinawa prefecture are used in our simulation works. Empirical results indicated that solar desiccant air-conditioning system can reduce energy, $CO_2$, and cost, significantly. Moreover, it was found that solar desiccant air-conditioning system is effective to reduce peak power and achieve power leveling.