scholarly journals Power system adequacy and cost/worth assessment incorporating virtual power plants

2018 ◽  
Author(s):  
◽  
Arijit Bagchi
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.


2016 ◽  
Vol 8 (1) ◽  
pp. 71 ◽  
Author(s):  
Yajing Gao ◽  
Huaxin Cheng ◽  
Jing Zhu ◽  
Haifeng Liang ◽  
Peng Li

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 189 ◽  
pp. 106609 ◽  
Author(s):  
Weilin Zhong ◽  
Mohammed Ahsan Adib Murad ◽  
Muyang Liu ◽  
Federico Milano

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2420 ◽  
Author(s):  
Haiteng Han ◽  
Hantao Cui ◽  
Shan Gao ◽  
Qingxin Shi ◽  
Anjie Fan ◽  
...  

More renewable energy resources have been connected to the grid with the promotion of global energy strategies, which presents new opportunities for the current electricity market. However, the growing integration of renewable energy also brings more challenges, such as power system reliability and the participants’ marketable behavior. Thus, how to coordinate integrated renewable resources in the electricity market environment has gained increasing interest. In this paper, a bilevel bidding model for load serving entities (LSEs) considering grid-level energy storage (ES) and virtual power plant (VPP) is established in the day-ahead (DA) market. Then, the model is extended by considering contingencies in the intraday (ID) market. Also, according to the extended bidding model, a remedial strategic rescheduling approach for LSE’s daily profit is proposed. It provides a quantitative assessment of LSE’s loss reduction based on contingency forecasting, which can be applied to the power system dispatch to help LSEs deal with coming contingencies. Simulation results verify the correctness and effectiveness of the proposed method.


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