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Power load is an important element in power system. While, the traditional load model is fixed. So, when the load components change, the load model will be inappropriate. Based on the Multiple Model Theory, this paper proposes the Adaptive Synthesis Dynamic Load Model (ASDLM). In load modeling, the load model set is established, and every model in the model set has a weight. The time-varying classical...
In islanded microgrid system, the battery tends to be the most vulnerable element in terms of durability. Poorly managed battery charge/discharge process is one of the main life-limiting factors. To improve the battery life, a novel energy storage system topology and a power allocation strategy are proposed in this paper. A standalone 6kW Photovoltaic (PV) microgrid system with hybrid energy storage...
Online dynamic load modeling has become possible with the availability of Static Voltage Compensator (SVC) and Phasor Measurement Unit (PMU) devices. The power of the load response to the small random bounded voltage fluctuations caused from SVC can be measured by PMU for modelling purposes. The aim of this paper is to illustrate the capability of identifying an aggregated load model from high voltage...
Accurate forecasting for "net load", i.e., the difference between the renewable generations and loads, are important for economical and secure dispatch of power systems. Of course, it is significant to ensure sufficient levels of ancillary service, in particular regulation service. Previously, wind power, photovoltaic generation (PV) and loads are forecasted separately. In contrast, in this...
Energy storages (ESs) are widely used in DC distribution system to compensate power imbalance. Hybrid energy storage system (HESS), which combines various ESs, can optimize energy density, power density and dynamic response. Hierarchical control of HESS is shown able to achieve dynamic power sharing among ESs with improved system reliability. However, system stability of HESS under hierarchical control,...
Developing an elaborate load model for electric vehicles (EVs) charging is of great importance. First, analysis about the charging behaviors of five types of EVs is carried out based on survey results. Subsequently, a smart charging strategy which not only takes into account the user behaviors but also considers the real-time electricity price, is presented to regulate the charging behaviors of EVs...
The proper integration of Microgrid determines the safe, efficient and economic operation of distribution network. From the perspective of the benefits of distribution network, this article illustrates the detailed process of the optimal integration of Microgrid. Firstly, select the candidate set taking consideration of practical engineering aspects. In order to reduce the forecast error, the probabilistic...
With the control technology development of household load and smart grid, household microgrid energy optimal scheduling will be an important means to provide personalized, differentiated electricity services for users. Based on the different characteristics of household microgrid load, models are established for fixed load, shiftable load and adjustable load in this paper. Considering the comfort...
In the future there will be an increased uptake of solar and battery systems in the residential sector, driven by falling battery costs and increasing electricity tariffs. The increased uptake means we need new methods to forecast electricity demand when considering these technologies. This paper has achieved this goal using a two stage model. Stage 1: A machine learning demand model has been created...
To cover its rapidly increasing power demand is one of the biggest challenges of the ASEAN (Association of Southeast Asian Nations) region. But even though ASEAN offers abundant untapped renewable energy sources, its current power generation is strongly based on fossil fuels, mainly due to economic reasons. Trans-border electricity trade could increase economic viability of exploiting renewable energy...
To expose operational risk of large-scale wind power integration system, probability distribution functions (PDFs) of input variables are required to model accurately in probabilistic load flow (PLF) analysis. Unfortunately, PDFs are difficult to obtain in reality. Therefore, a PLF method based on modified Nataf transformation and quasi Monte Carlo simulation is proposed in this paper. This method...
An aggregator undertakes multiple tasks in smart distribution network such as energy trading, grouping and providing market access to demand response (DR) resources, coordinating EV charging, efficiently controlling smart appliances of consumers and communicating with the distribution system operator (DSO). In this context, a bi-level linear programming model is established for an aggregator of day-ahead...
There is an opportunity for commercial customers to use energy storage to charge during low load periods and discharge during peak load periods to reduce demand charges. Energy storage control systems that incorporate load forecasts have an economic relationship with forecast error. The less the forecast error is, the more economically feasible energy storage will be. A range of time series forecast...
The large-scale introduction of plug-in electric vehicles (PEV) may pose challenges to power system operators by causing grid congestion or voltage fluctuations. This work presents a simulation-based approach for investigating the impact of transport electrification on power grids. The framework consists of an agent-based traffic simulation which is coupled with a power system simulation through the...
The penetration level of renewable energy generation has been increasing in some actual power systems, and hence introduces some new problems and even challenges for transmission system planning. In modern transmission system planning, it is necessary to consider the accommodation capability of renewable energy generation, in addition to the traditional requirement for power system reliability. Given...
Because of the constant increase of photovoltaic(PV) permeability, it is needed to configure the energy storage(ES) to reduce the instability caused by PV access of the power distribution network. So that how to configure PV and ES has become an important issue. According to timing characteristics of load and PV output under different seasons and weather conditions, the configuration model of PV and...
Issues such as energy shortage and global warming become prominent. Meanwhile, the rapid growth of the load makes the grid pay more attention to demand side. Demand response (DR) is an effective tool to change the shape of the load. Usually buildings consume much energy, and also have great DR capability. It is crucial to assess the DR capability of buildings, which is a tough task because the building...
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