Feasible electricity price calculation and environmental benefits analysis of the regional nighttime wind power utilization in electric heating in Beijing

2019 ◽  
Vol 212 ◽  
pp. 1434-1445 ◽  
Author(s):  
Lei Pu ◽  
Xiuhui Wang ◽  
Zhongfu Tan ◽  
Jing Wu ◽  
Chengfeng Long ◽  
...  
Keyword(s):  
Wind Power ◽  
Electric Heating ◽  
Electricity Price ◽  
Environmental Benefits

scholarly journals A Real-Time Electricity Price Decision Model for Demand Side Management in Wind Power Heating Mode

2021 ◽  
Vol 9 ◽  
Author(s):  
Qiang Li ◽  
Jian Li ◽  
Zhengyong Huang ◽  
Fulin Fan ◽  
Weijun Teng
Keyword(s):  
Real Time ◽  
Wind Power ◽  
Decision Model ◽  
Large Scale ◽  
Electric Heating ◽  
Demand Side Management ◽  
Electricity Price ◽  
Wind Generation ◽  
Demand Side ◽  
Time Price

The problem of wind power curtailment (WPC) during winter heating periods in China’s “Three-North regions” is becoming worse. Wind power heating, though being an effective way to increase wind power consumptions, is constrained by high electric heating costs under a peak-to-valley electricity price pattern. This study develops a real-time price (RTP) decision model which adjusts the time-varying RTPs within an acceptable range of heating users based on the WPC distribution over a particular dispatch day. The lower RTPs accompanying the higher WPC can guide the electric heating user side equipped with regenerative electric boilers (REBs) to actively increase REB imports to absorb additional wind generation. Then, the demand side response using REBs under the RTP scheme is optimized to minimize the total heating cost met by electric heating users while assisting in the large-scale wind generation accommodation. The total heating costs and WPC reductions under different heating scenarios are compared and discussed alongside the effectiveness of the RTP-based demand side management in terms of reducing the WPC and heating costs and increasing the feasibility of wind power heating during winter heating periods.

The Optimization Model of Wind Power and Thermal Power Jointly Run under the TOU Price

2013 ◽  
Vol 772 ◽  
pp. 705-710
Author(s):  
Li Wei Ju ◽  
Zhong Fu Tan ◽  
He Yin ◽  
Zhi Hong Chen
Keyword(s):  
Wind Power ◽  
Optimization Model ◽  
Unit Commitment ◽  
Thermal Power ◽  
Peak Load ◽  
Electricity Demand ◽  
Environmental Benefits ◽  
Power Company ◽  
The Cost ◽  
Pollution Emissions

In order to be able to absorb the abandoned wind, increasing wind-connect amount, the paper study the way of wind power, thermal power joint run and puts forward wind power, thermal power joint run optimization model based on the energy-saving generation dispatching way under the environment of TOU price and the target of minimizing the cost of coal-fired cost, unit commitment and pollution emissions. The numerical example finds, the TOU price can realize the goal of peak load shifting, increasing the electricity demand in the low load and reducing electricity demand in the peak load. The model can increase the amount of wind-connect grid, absorb the abandoned wind, reduce the use of coal-fired units under the environment, increase the average electricity sales price and profit of Power Company. Therefore, the model has significant economical environmental benefits

scholarly journals Wind Power Long-Term Scenario Generation Considering Spatial-Temporal Dependencies in Coupled Electricity Markets

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3427 ◽  
Author(s):  
Geovanny Marulanda ◽  
Antonio Bello ◽  
Jenny Cifuentes ◽  
Javier Reneses
Keyword(s):  
Power Generation ◽  
Wind Power ◽  
Time Scales ◽  
Electricity Markets ◽  
Distribution Functions ◽  
Wind Power Generation ◽  
Environmental Benefits ◽  
Different Time Scales ◽  
Temporal Dependencies

Wind power has been increasing its participation in electricity markets in many countries around the world. Due to its economical and environmental benefits, wind power generation is one of the most powerful technologies to deal with global warming and climate change. However, as wind power grows, uncertainty in power supply increases due to wind intermittence. In this context, accurate wind power scenarios are needed to guide decision-making in power systems. In this paper, a novel methodology to generate realistic wind power scenarios for the long term is proposed. Unlike most of the literature that tackles this problem, this paper is focused on the generation of realistic wind power production scenarios in the long term. Moreover, spatial-temporal dependencies in multi-area markets have been considered. The results show that capturing the dependencies at the monthly level could improve the quality of scenarios at different time scales. In addition, an evaluation at different time scales is needed to select the best approach in terms of the distribution functions of the generated scenarios. To evaluate the proposed methodology, several tests have been made using real data of wind power generation for Spain, Portugal and France.

Microgrid Viability for Small-Scale Cooling, Heating, and Power

2006 ◽  
Vol 129 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Lubomir A. Ribarov ◽  
David S. Liscinsky
Keyword(s):  
Net Present Value ◽  
Dimensional Space ◽  
Geographical Location ◽  
Geographic Location ◽  
Electric Heating ◽  
Public Utility ◽  
Environmental Benefits ◽  
Cooling Power ◽  
Small Scale ◽  
Chp System

Cooling, heating, and power (CHP) energy systems provide higher fuel efficiency than conventional systems, resulting in reduced fuel consumption, reduced emissions, and other environmental benefits. Until recently the focus of CHP system development has been primarily on medium-scale commercial applications in a limited number of market segments where clear value propositions lead to short term payback. Small-scale integrated CHP systems that show promise of achieving economic viability through significant improvements in fuel utilization have received increased attention lately. In this paper the economic potential is quantified for small-scale (microgrid) integrated CHP systems suitable for groups of buildings with aggregate electric loads in the 15-120kW range. Technologies are evaluated for community building groups (CBGs) consisting of aggregation of pure residential entities and combined residential and light commercial entities. Emphasis is on determination of the minimum load size (i.e., the smallest electric and thermal load for a given CBG that is supplied with electric, heating, cooling power from a CHP) for which a microgrid CHP system is both technically and economically viable. In this paper, the operation of the CHP system is parallel with the public utility grid at all times, i.e., the grid is interconnected. Evaluations of CHP technology options using simulation studies in a “three-dimensional” space (CHP technology option, CBG load aggregation, and geographical location in the USA) were evaluated based on comparisons of net present value (NPV). The simulations indicated that as electric load increases, the viability of the CHP system (independent of the system’s size) becomes more favorable. Exceeding a system runtime (utilization) of 70% was shown to pass the break-even line in the NPV analysis. Finally, geographic location was found to have a relatively weak effect on the reported trends. These results suggest that microgrid CHP systems have the potential to be economically viable with relative independence of geographic location if adequately sized to match the specific load requirements.

Multi-Objective Optimal Dispatch of Power System with Wind Power Based on Improved Particle Swarm Algorithm

2013 ◽  
Vol 860-863 ◽  
pp. 353-360
Author(s):  
Yi Hui Zhang ◽  
Zhi Jian Hu ◽  
Xiao Lu Gong ◽  
Meng Lin Zhang ◽  
He Wang ◽  
...  
Keyword(s):  
Power System ◽  
Wind Power ◽  
Particle Swarm ◽  
Environmental Benefits ◽  
Particle Swarm Algorithm ◽  
Security Risks ◽  
Swarm Optimization ◽  
Optimal Dispatch ◽  
Multi Objective ◽  
Simulation Results

With the increase of its proportion in power system, wind power not only brings economic and environmental benefits but also the potential security risks due to its fluctuation and uncertainty. In order to take the potential security risks into account, an environmental/economic/safe static dispatch (EESD) model of power system with wind power is built. A new multi-objective particle swarm optimization (MOPSO) algorithm with standby selection and micro variation is proposed to solve the model. Two cases with and without wind power are simulated with the standard IEEE-30 system. The simulation results validate the effectiveness of the proposed algorithm.

A framework for the assessment of electric heating load flexibility contribution to mitigate severe wind power ramp effects

2017 ◽  
Vol 142 ◽  
pp. 268-278 ◽  
Author(s):  
Antti Alahäivälä ◽  
Jussi Ekström ◽  
Juha Jokisalo ◽  
Matti Lehtonen
Keyword(s):  
Wind Power ◽  
Electric Heating ◽  
Heating Load

scholarly journals Encompassing Electricity Market Predictions and Weather Forecasts in Power Plan O&M Strategies

2017 ◽  
Author(s):  
Linda Ponta ◽  
Luca Oneto ◽  
Davide Anguita ◽  
Silvano Cincotti
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Weather Condition ◽  
Weather Conditions ◽  
Fixed Time ◽  
Important Variable ◽  
Electricity Price ◽  
Maintenance Schedule ◽  
Wind Power Plants

The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.

Sign in / Sign up

Export Citation Format

Share Document