Munkbayasgalan Enkhtuvshin

Bio: Munkbayasgalan Enkhtuvshin is an academic researcher from Chiba University. The author has contributed to research in topics: Smart grid & Intermittent energy source. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Economic operation of smart grid based on the statistics of renewable energy

Abstract: Smart grid is a brand new power system that allows the installation of a high percentage of powers from renewable energy sources. In its operation, how to utilize the smoothing effect of renewable energy output plays a vital role in ensuring the power quality. This paper proposes a new operation method for smart grid which assures both the power quality and the economy of the operation. Firstly, we derive a criterion for the frequency maintenance which relates the allowable bound of frequency with that of the prediction error of renewable energy output. Secondly, we show how to employ the statistics of renewable energy to determine the uncertainty bounds. Thirdly, we propose two peak-cut methods to improve the frequency performance when the frequency bound is not assured. Finally, the proposed methods are evaluated via numerical examples.

Modeling the uncertainties in renewable generation and smart grid loads for the study of the grid vulnerability

Abstract: The uncertainties of power systems are becoming more and more important due to power systems restructuring and ever increasing renewable generation integration into the grid. In the literature several uncertainty modeling approaches have been proposed to facilitate decision making process for efficient operation of power systems. These approaches mainly focus on deriving a statistical representation for different sources of uncertainty such as load, generation, and line capacities. However, there is a need for an uncertainty model which can capture the frequency components of uncertainty signals for applications such as voltage control, frequency control/ stability, and grid vulnerability analysis. In this paper we proposed an uncertainty modeling approach that captures the high dynamics of renewable generation uncertainty and smart grid loads and reveals their frequency domain characteristics. We tested the proposed model on IEEE 300 bus system to evaluate the impact of uncertainty on line flows.

An optimization technique for battery energy storage with wind turbine generator integration in unbalanced radial distribution network

Abstract: In this paper, an optimal technique for optimal location of battery energy storage system (BESS) and capacity wind power penetrations charging/discharging BESS dispatch is proposed. In this proposed work, the Big Bang-Big Crunch (BB-BC) algorithm is proposed and performance of BB-BC must be upgraded along chaotic initialization and chaotic search for acquiring that optimal switching pulse and henceforth it is named as CBCA technique. CBCA can improve the efficiency of unbalanced distribution network under technical limitations. The proposed method utilizes the average power loads of decisive criterion to charge or discharge the battery. Wind power generation is used entirely for charging the battery. Here, free-running and conservative battery discharge techniques are explored. The proposed method runs on IEEE 37 bus unbalanced radial distribution network (URDN) system. The simulation outcomes demonstrate that proposed method improves several efficiency objectives in the distribution system through optimally coordinating BESS shipments.

AHP Based Evaluation Model of Energy Efficiency for Energy Internet

Abstract: The emerging construction of China’s industry park requires for a specific evaluation method for the local energy internet’s power utilization efficiency. This article focuses on the solar power exploitation from power supply reliability, energy utilization efficiency, solar power general efficiency, established a complete energy internet evaluation index system using improved analytic hierarchy process (AHP). Such method was proved to be more delicate to evaluate the solar-involved park energy internet comparing to traditional methods. The energy internet of a certain industry park was taken as an example for verification. It was found that the improved AHP method can objectively reflect the planning’s efficiency from multi-indicators. When evaluating from different perspective, focusing on a different characteristic of the regional power grid will lead to changes in the AHP evaluation weighting and the results. According to the evaluation result, the relevant suggestions to improve energy efficiency were also proposed.

Operational evaluation method of distribution network considering distributed generators

Abstract: In order to evaluate operational state of distribution network and facilitate the economic dispatch considering distributed generators, operational evaluation system of distribution network considering distributed generators is proposed. Furthermore, complex evaluation indicators of safety, power quality and economy are defined to evaluate distribution network with distributed generators as well. The indicators hierarchy is established and their weights are calculated by Analytic Hierarchy Process (AHP) method. The fuzzy comprehensive evaluation method is used to analysis the evaluation system. Taking some actual area distribution network as an example, the evaluation indicators are calculated before and after distributed generators are considered. The results show that distributed generators may cause the safety indicators, part power quality indicators deteriorated while the economic indicators improved. Based on this conclusion, we can decide how distributed generators connect onto distribution network, and identify the weak points of distribution network with distributed generators integration, which shows the validity of the proposed evaluation method.