scholarly journals Scenario Analysis in the Electric Power Industry under the Implementation of the Electricity Market Reform and a Carbon Policy in China

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2152 ◽  
Author(s):  
Peng Wang ◽  
Meng Li
Keyword(s):  
Renewable Energy ◽  
Influencing Factors ◽  
Electricity Market ◽  
Thermal Power ◽  
Economic Dispatch ◽  
Energy Generation ◽  
Market Reform ◽  
Carbon Policy ◽  
Renewable Energy Generation ◽  
The Impact

In China, electricity market reform was first implemented in 2015. At the same time, the national carbon market was built, along with the electricity industry, which was considered a breakthrough. Some key considerations for the future development of China’s electricity system include the implementation of demand-side measures in order to adjust the peak-to-valley difference and the economic dispatch of increasing intermittent renewable energy and traditional energy in the process of power marketization with the implementation of a carbon policy. This paper examines the impact of policies on electricity generation by modelling the evolution process of power marketization and the economic dispatch of generation technologies over a sixteen-year period beginning in 2020. We model four potential influencing factors of government policy: (1) the demand response mode; (2) power marketization process; (3) capacity adjustment of thermal power units; and (4) carbon taxes, which vary in terms of their timing and amount. This model assesses the impact of these influencing factors on the competition between electricity generators using a range of output variables, including generation portfolios, electricity prices, capacity factors, CO2 emissions, etc. The results show that the new round of electricity market reforms has had a positive impact on renewable energy generation. The influence of carbon policy is evident in the promotion, transformation and elimination of thermal units, and an indirect increase in renewable energy generation.

scholarly journals The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method

2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi
Keyword(s):  
Renewable Energy ◽  
Market Price ◽  
Energy Generation ◽  
Spot Market ◽  
Ex Post ◽  
Boosting Method ◽  
Renewable Energy Generation ◽  
The Impact ◽  
Ex Post Analysis

scholarly journals The Impact of Renewable Energy Generation on the Spot Market Price in Germany: Ex-Post Analysis using Boosting Method

2020 ◽  
Vol 41 (01) ◽  
Author(s):  
Alexander Ryota Keeley ◽  
Ken’ichi Matsumoto ◽  
Kenta Tanaka ◽  
Yogi Sugiawan ◽  
Shunsuke Managi
Keyword(s):  
Renewable Energy ◽  
Market Price ◽  
Energy Generation ◽  
Spot Market ◽  
Ex Post ◽  
Boosting Method ◽  
Renewable Energy Generation ◽  
The Impact ◽  
Ex Post Analysis

scholarly journals Reliable and Cost-Effective Supply Model using Multi Agent Smart Grid Controller

2020 ◽  
Vol 8 (5) ◽  
pp. 3578-3585
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Cost Effective ◽  
Weather Conditions ◽  
Energy Generation ◽  
Renewable Power ◽  
Multi Agent ◽  
Grid Operation ◽  
Renewable Energy Generation ◽  
The Impact

The energy sector is moving towards renewable energy generation. Renewable energy generation is the key technology for a smart grid operation. These renewable producers’ electricity generation capacity varies significantly with change in weather conditions and causes system unreliability. To improve acceptability of this intermittency either renewable generation should be such that it meets the load demand round the corner or there should be a successful coordination between renewable power generation and the grid, so that consumer gets a reliable and cost efficient power. This paper presents a computer-based model of a multi-agent Smart Grid Controller (SGC). The design objective is to provide reliable and cost optimized electricity to the consumers. The Smart Grid Controller continuously monitors the power availability and demand on hourly basis and switches between price-based demand fulfilment and priority-based demand fulfilment algorithm accordingly. Two case studies – Renewable with Grid Power (RwGP) and Renewable without Grid Power (RwoGP) are taken into consideration. The design is validated on the data of a township. The impact of normal and extreme weather conditions on renewable producer agent’s operating capacity is simulated. System’s performance is analysed on daily and monthly data. Results show that the model not only is reliable but also provides cost optimized solution to consumers as compared to only Grid supplied system.

Planning the Electrification of Rural Villages in East Nusa Tenggara Using Renewable Energy Generation

2018 ◽  
Vol 1 (1) ◽  
pp. 5-21
Author(s):  
Jannata Giwangkara ◽  
Bart Van Campen
Keyword(s):  
Renewable Energy ◽  
Energy Resource ◽  
Energy Generation ◽  
Economic Feasibility ◽  
Rural Electrification ◽  
Solar Pv ◽  
Rural Villages ◽  
Energy Technologies ◽  
Renewable Energy Generation ◽  
The Impact

Providing accessible, affordable and renewable electricity to rural areas in developing countries like Indonesia, is arguably challenging. The higher initial cost of renewable, as compared to conventional energy technologies, is often viewed as an obstacle in the rural electrification decision-making process. This study is conducted to examine the techno-economic feasibility of renewable energy generation options to bring electricity to the rural villages in Indonesia with Belu Regency, East Nusa Tenggara (ENT) as a case study. In this study, three village electrification scenarios were generated: basic (with the demand load of 150,5 kWh/day), moderate (359,9 kWh/day) and advanced electrification (579 kWh/day). To supply the load, three energy technologies were compared: conventional technology (diesel-powered); renewables technology (solar PV, and wind turbines); and hybrid technology (combination of diesel, solar PV and wind). The Hybrid Optimization of Multiple Energy Resource (HOMER) software was selected to model the best-optimised system configuration for the scenarios with defined constraints and sensitivity analysis. The study also investigates the impact and benefit of each system on the environment, specifically on CO2 emissions and pricing options. The results found that the renewable energy village-grid system (mostly powered by solar PV) is more competitive than the diesel-powered system in all scenarios. The levelized cost of energy (LCOE) of renewable energy system for each scenario is 0,66 USD/kWh (basic), 0,74 USD/kWh (moderate) and 0,55 USD/kWh (advance) respectively. This preliminary study concludes that rural electrification with renewables is a feasible option for a generic, modeled village in ENT. More, specific case research would be needed. JEL Classification: Q42, Q54Keywords: East Nusa Tenggara, electrification planning, HOMER, LCOE, renewable energy, rural electrification.

Dispatch Optimisation of Renewable Energy Generation Participating in a Liberalised Electricity Market

ENERGYO ◽  
2018 ◽  
Author(s):  
Narad Muni Bhandari ◽  
Graeme Burt ◽  
Keshav Prasad Dahal ◽  
Stuart Galloway ◽  
Jim Mcdonald
Keyword(s):  
Renewable Energy ◽  
Electricity Market ◽  
Energy Generation ◽  
Renewable Energy Generation
Sign in / Sign up

Export Citation Format

Share Document