Distributed Energy Resources’ Characteristics and its Integration Modes of Active Distribution Network

2014 ◽  
Vol 568-570 ◽  
pp. 1820-1824
Author(s):  
Bo Zeng ◽  
Jun Qiang Wen ◽  
Yu Ying Zhang ◽  
Jian Hua Zhang ◽  
Xu Yang ◽  
...  

Specifying technical features of all kinds of distributed energy resources in operation control is the foundation of deploying active distribution network. This paper analyzes the technical characteristics of various distributed energy resources (DER) including micro-turbines, wind turbines, photovoltaic generations, distributed energy storage devices and flexible loads (FL), and discusses the demand response (DR) mechanisms and controllability of FL profoundly. Furthermore, on the basis of the economy and the reliability of the overall system, the in-depth study of active distribution network (ADN) typical integration modes which adapt to a low-carbon environment are carried out.

The active distribution network (ADN) is an integral component of the smart grid. The ADN improves reliability and resiliency in the power grid integrated with many distributed energy resources (DERs). This is possible that, during outage, the ADN can be isolated from the main grid and it can continue to operate in island mode with indeterminate broken links and scarce generation resources. With the active management of increasing DERs, the distribution network is changed to active distribution network from passive network. This paper reviews the characteristics and challenges of deployment of distributed power plants (DPPs) in hierarchical active distribution network


Author(s):  
Monika Gaba ◽  
Saurabh Chanana

Abstract Demand response (DR), an integral part of the smart grid, has great potential in handling the challenges of the existing power grid. The potential of different DR programs in the energy management of residential consumers (RCs) and the integration of distributed energy resources (DERs) is an important research topic. A novel distributed approach for energy management of RCs considering the competitive interactions among them is presented in this paper. The impact of participation of RC’s in price-based (PB) and incentive-based (IB) DR programs is investigated using game theory. For this, an energy management optimization problem (EMOP) is formulated to minimize electricity cost. The utility company employs electricity price as a linear function of aggregated load in the PB DR program and an incentive rate in the IBDR program. RCs are categorized into active and passive users. Active users are further distinguished based on the ownership of energy storage devices (SD) and dispatchable generation units (DGU). EMOP is modeled using a non-cooperative game, and the distributed proximal decomposition method is used to obtain the Nash equilibrium of the game. The results of the proposed approach are analyzed using different case studies. The performance of the proposed approach is evaluated in terms of aggregated cost and system load profile. It has been observed that participation in PB and IBDR program benefits both the utility and the consumers.


Sign in / Sign up

Export Citation Format

Share Document