scholarly journals Data-driven distributionally robust joint planning of distributed energy resources in active distribution network

2020 ◽  
Vol 14 (9) ◽  
pp. 1653-1662 ◽  
Author(s):  
Hongjun Gao ◽  
Renjun Wang ◽  
Youbo Liu ◽  
Lingfeng Wang ◽  
Yingmeng Xiang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Energy Resources ◽  
Data Driven ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Active Distribution Network ◽  
Joint Planning ◽  
Distributionally Robust

scholarly journals Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network

Energies ◽  
2017 ◽  
Vol 10 (8) ◽  
pp. 1104 ◽  
Author(s):  
Chen Sun ◽  
Dong Liu ◽  
Yun Wang ◽  
Yi You
Keyword(s):  
Distribution Network ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Active Distribution Network

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 ◽  
...  
Keyword(s):  
Distribution Network ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Low Carbon ◽  
Distributed Energy ◽  
Energy Storage Devices ◽  
Active Distribution Network ◽  
Distributed Energy Storage ◽  
Depth Study ◽  
Technical Features

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.

Agent-Based Coordinated Operation Strategy for Active Distribution Network With Distributed Energy Resources

2019 ◽  
Vol 55 (4) ◽  
pp. 3310-3320 ◽  
Author(s):  
Shuai Hu ◽  
Yue Xiang ◽  
Junyong Liu ◽  
Chenghong Gu ◽  
Xin Zhang ◽  
...  
Keyword(s):  
Distribution Network ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Operation Strategy ◽  
Distributed Energy ◽  
Agent Based ◽  
Active Distribution Network

scholarly journals Hierarchical Structure of Active Distribution Network in Power System

2020 ◽  
Vol 10 (1) ◽  
pp. 55-61
Keyword(s):  
Smart Grid ◽  
Power System ◽  
Power Plants ◽  
Distribution Network ◽  
Energy Resources ◽  
Active Management ◽  
Distributed Energy Resources ◽  
Distributed Energy ◽  
Active Distribution Network ◽  
Passive Network

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

Data-Driven Design of Control Strategies for Distributed Energy Systems

2019 ◽  
Vol 141 (11) ◽  
Author(s):  
Philip Odonkor ◽  
Kemper Lewis
Keyword(s):  
Energy Cost ◽  
Cost Minimization ◽  
Computational Cost ◽  
Cost Savings ◽  
Price Volatility ◽  
Energy Resources ◽  
Data Driven ◽  
Distributed Energy Resources ◽  
Maximization Problem ◽  
Distributed Energy

Abstract The flexibility afforded by distributed energy resources in terms of energy generation and storage has the potential to disrupt the way we currently access and manage electricity. But as the energy grid moves to fully embrace this technology, grid designers and operators are having to come to terms with managing its adverse effects, exhibited through electricity price volatility, caused in part by the intermittency of renewable energy. With this concern however comes interest in exploiting this price volatility using arbitrage—the buying and selling of electricity to profit from a price imbalance—for energy cost savings for consumers. To this end, this paper aims to maximize arbitrage value through the data-driven design of optimal operational strategies for distributed energy resources (DERs). Formulated as an arbitrage maximization problem using design optimization principles and solved using reinforcement learning, the proposed approach is applied toward shared DERs within multi-building residential clusters. We demonstrate its feasibility across three unique building clusters, observing notable energy cost reductions over baseline values. This highlights a capability for generalized learning across multiple building clusters and the ability to design efficient arbitrage policies for energy cost minimization. The scalability of this approach is studied using two test cases, with results demonstrating an ability to scale with relatively minimal additional computational cost, and an ability to leverage system flexibility toward cost savings.

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