Integrating renewable energy sources into electricity markets: Power system operation, resource adequacy and market design

Power system operation and planning studies face many challenges with increasing of renewable energy sources (RESs) penetration. These challenges revolve around the RESs uncertainty and its applications on probabilistic forecasting, power system operation optimization and power system planning. This paper proposes a novel and effective criterion for uncertainties modeling of the RESs as well as system loads. Four sorting stages are applied for the proposed uncertainty cases reduction. Added to that, it proposes three different uncertainty reduction strategies for obtaining different accuracy and speed options. The proposed reduction strategies are tested on medium and large scale distribution systems; IEEE 69-bus and 118-bus systems. The obtained results verify the effectiveness of the proposed criterion in uncertainties modeling in distribution systems with acceptable level of accuracy.

Download Full-text

Co-optimization of transmission topology and generation dispatch incorporating demand response and renewable energy uncertainty in day-ahead electricity markets

Journal of Science and Technology Issue on Information and Communications Technology ◽

10.31130/jst-ud2019-067e ◽

2019 ◽

Vol 17 (6) ◽

pp. 15

Author(s):

Văn Phạm Năng

Keyword(s):

Renewable Energy ◽

Demand Response ◽

Electricity Markets ◽

Renewable Energy Sources ◽

Mixed Integer ◽

System Operation ◽

Power System Operation ◽

Transmission Switching ◽

Proposed Model ◽

Generation Dispatch

The variability of renewables requires a higher degree of flexibility in power system operation. At present, there are a variety of solutions which are being utilized, particularly demand response and transmission switching. This paper presents a model for co-optimization of transmission topology and generation dispatch based on a two-stage stochastic optimization. Demand response and renewable energy uncertainty are integrated into the proposed model. The uncertainty pertaining to renewable energy sources is presented through a set of scenarios. The model is a mixed-integer linear programming (MILP) problem and can be applied for the day-ahead market clearing. The results implemented using a 5-bus system demonstrate the effectiveness of the proposed model.

Download Full-text

A Comprehensive Survey on the Impact of Renewable Energy Sources in Power System Operation and Control

10.21203/rs.3.rs-338842/v1 ◽

2021 ◽

Author(s):

Vinay Kumar Tatikayala ◽

Shishir Dixit

Keyword(s):

Artificial Intelligence ◽

Renewable Energy ◽

Power Systems ◽

Power System ◽

Renewable Energy Sources ◽

Energy Sources ◽

System Operation ◽

System Parameters ◽

And Control ◽

The Impact

Abstract The concern for huge increasing electricity demand, fossil fuel depletion, developed infrastructure reliability, carbon footprint reduction insisted the power utility companies to uptake RES (Renewable Energy Sources). The improved adoption of RES like wind energy and solar energy into the prevailing transmission and distribution networks led to several problems. These problems could be rectified by optimizing the power system parameters like frequency response, inertia, stability, battery usage, efficiency and power loss. This review hence provide a comprehensive analysis on the impact of renewable energy sources like wind and solar energy on power system operation and control in accordance with the major findings of the existing works. This review highlights the difficulties in the installation of solar and wind power with adoptable solutions. The challenges of power systems regarding the encoding of non-linearized function could be rectified by AI (Artificial Intelligence). The paper also insists the importance of artificial intelligence algorithm in the optimization of power system parameters. Artificial intelligence methods is useful for resolving various issues in power systems such as control, scheduling, forecasting etc. Few artificial algorithms such as Atom search optimization, Particle swarm optimization, Salp swarm optimization were investigated in this review for improving the performance of the power system. In spite of optimization analysis, the paper investigate various storage system types for improving the power system in accordance with cost, application and operation characteristics. Proper understanding of these systems is necessary for the future designing and hence through revision of state of art characteristics has been performed in this paper.

Download Full-text

Renewable Energy Sources in the Baltic States and New Business Approach of the Sector

Vilnius University Open Series ◽

10.15388/vgisc.2021.16 ◽

2021 ◽

pp. 120-127

Author(s):

Karina Viskuba ◽

Veronica Silinevicha

Keyword(s):

Renewable Energy ◽

Power System ◽

Complex Analysis ◽

Renewable Energy Sources ◽

Electric Power Industry ◽

Energy System ◽

Energy Sources ◽

System Operation ◽

Baltic Countries ◽

The Baltic

Renewable energy sources (RES) are efficient in meeting the demand for clean and affordable energy. The need for RES is undeniable and has many advantages but there are also some challenges that need to be taken into consideration and adapted to the energy system. One of the challenges is RES volatility and its impact on electricity prices and power system operation. Europe is trending to power system decentralisation through the involvement of local authorities, active consumers and citizens in the system operation. This article provides main information about the energy sector of Latvia and RES in the Baltic countries. It proposes a methodology for the complex analysis of correlation and regression dependences of natural and price indicators of the electric power industry, based on the adaptation of the corresponding classical mathematical models.

Download Full-text