scholarly journals The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather

2016 ◽  
Vol 8 (1) ◽  
pp. 71 ◽  
Author(s):  
Yajing Gao ◽  
Huaxin Cheng ◽  
Jing Zhu ◽  
Haifeng Liang ◽  
Peng Li
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Changyu Zhou ◽  
Guohe Huang ◽  
Jiapei Chen

In this study, an inexact two-stage stochastic linear programming (ITSLP) method is proposed for supporting sustainable management of electric power system under uncertainties. Methods of interval-parameter programming and two-stage stochastic programming were incorporated to tackle uncertainties expressed as interval values and probability distributions. The dispatchable loads are integrated into the framework of the virtual power plants, and the support vector regression technique is applied to the prediction of electricity demand. For demonstrating the effectiveness of the developed approach, ITSLP is applied to a case study of a typical planning problem of power system considering virtual power plants. The results indicate that reasonable solutions for virtual power plant management practice have been generated, which can provide strategies in mitigating pollutant emissions, reducing system costs, and improving the reliability of power supply. ITSLP is more reliable for the risk-aversive planners in handling high-variability conditions by considering peak-electricity demand and the associated recourse costs attributed to the stochastic event. The solutions will help decision makers generate alternatives in the event of the insufficient power supply and offer insight into the tradeoffs between economic and environmental objectives.


2021 ◽  
Vol 2005 (1) ◽  
pp. 012080
Author(s):  
Yingliang Li ◽  
Liwen Zhou ◽  
Zhaodi Gao ◽  
Kun He ◽  
Heming Cai ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1182
Author(s):  
Weilin Zhong ◽  
Junru Chen ◽  
Muyang Liu ◽  
Mohammed Ahsan Adib Murad ◽  
Federico Milano

The paper proposes a coordinated frequency control strategy for Virtual Power Plant (VPPs), with the inclusion of Distributed Energy Resource (DERs), e.g., Solar Photo-Voltaic Generation (SPVG), Wind Generator (WG) as well as Energy Storage System (ESS). The objective is to improve the short-term dynamic response of the overall power system. The robustness of the proposed control is evaluated through a Monte Carlo analysis and a detailed modeling of stochastic disturbances of loads, wind speed, and solar irradiance. The impact of communication delays of a variety of realistic communication networks with different bandwidths is also discussed and evaluated. The case study is based on a modified version of the WSCC 9-bus test system with inclusion of a VPP. This is modeled as a distribution network with inclusion of a variety of DERs.


Author(s):  
V.V. Okuneva ◽  
◽  
A.A. Agamirzoev ◽  
K.B. Korneev ◽  
◽  
...  

We consider one of the most promising technologies for solving the problem of balancing a system with distributed generation is a virtual substation. It is noted that using the technologies of distributed computing and the «Internet of things», it is possible to implement an effective mechanism for decentralized control of power system elements.


2020 ◽  
Vol 8 ◽  
Author(s):  
Fengzhang Luo ◽  
Xin Yang ◽  
Wei Wei ◽  
Tianyu Zhang ◽  
Liangzhong Yao ◽  
...  

Distributed energy resources (DERs) have been widely involved in the optimal dispatch of distribution systems which benefit from the characteristics of reliability, economy, flexibility, and environmental protection. And distribution systems are gradually transforming from passive networks to active distribution networks. However, it is difficult to manage DERs effectively because of their wide distribution, intermittency, and randomness. Virtual power plants (VPPs) can not only coordinate the contradiction between distribution systems and DERs but also consider the profits of DERs, which can realize the optimal dispatch of distribution systems effectively. In this paper, a bi-level dispatch model based on VPPs is proposed for load peak shaving and valley filling in distribution systems. The VPPs consist of distributed generations, energy storage devices, and demand response resources. The objective of the upper-level model is smoothing load curve, and the objective of the lower-level model is maximizing the profits of VPPs. Meanwhile, we consider the quadratic cost function to quantify the deviation between the actual output and the planned output of DGs. The effectiveness of the bi-level dispatch model in load shifting and valley filling is proved by various scenarios. In addition, the flexibility of the model in participating in distribution system dispatch is also verified.


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