Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants

Chen, Yixuan; Yu, Tao; Yang, Bo; Zhang, Xiaoshun; Qu, Kaiping

doi:10.1109/tii.2019.2896968

Cited by 18 publications

(9 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our preliminary work, we developed a temporal and spatial distribution (TSD) model of air pollutants [15]. The TSD model can well describe the significant correlations between GLPC and the ABL's diurnal variation.…”

Section: T Resmentioning

confidence: 99%

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

Chen

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

Temporal and spatial distribution (TSD) model presented in our previous work of air pollutants is an effective model in describing the increment ground level concentration caused by power generation. In this paper, the newly emerging temporal and spatial characteristics of power dispatch when incorporating the TSD model are studied. Firstly, a multi-objective optimization dispatching model for wind-thermalstorage generation system is proposed. In the time dimension, the model can coordinate multiple generation sources in the face of atmospheric condition variation. In the space dimension, the correlations between power plants location, pollutant diffusion paths and atmospheric boundary layers are considered. Secondly, chance constraints are adopted to address stochastic variables, while the stochastic formulation is transformed into a deterministic one based on wind power distribution. Then a multi-objective optimization method is employed to obtain a desired Pareto front. Case studies are carried out on modified IEEE 39-bus system and Guangdong grid system under four strategies, which validate the performance of the proposed model and the effectiveness of the strategy. INDEX TERMS Environmental economic dispatch, comprehensive pollution evaluation value, geographic grid, temporal and spatial characteristics, multi-objective optimization. NOMENCLATURE INDICES WEICONG WU received the B.S. degree in electrical engineering from Huaqiao University, Xiamen, China, in 2018. He is currently pursuing the M.S. degree in electrical engineering with the School of Electric Power Engineering. His research interest includes optimal operation of power systems.

show abstract

Section: T Resmentioning

confidence: 99%

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

Chen

et al. 2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

show abstract

“…A smooth load process is particularly important for TPUs to balance system power. Because the adjustment ability of TPUs is relatively poor, it should bear the base load as much as possible [30].…”

Section: Dispatch Modelmentioning

confidence: 99%

Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources

et al. 2020

View full text Add to dashboard Cite

The volatility and uncertainty of high-penetration renewable energy (RE) challenge the stability of the power system. To tackle this challenge, an optimal dispatch of high-penetration RE based on flexible resources (FRs) is proposed to enhance the ability of the power system to cope with uncertain disturbances. Firstly, the flexibility of a high-penetration RE integrated power system is analyzed. The flexibility margin of power supply and flexible adaptability of RE are then introduced as the evaluation indices for optimal operation. Finally, a multi-objective optimal dispatch model for power system flexibility enhancement based on FRs under the constraint of flexibility indices is proposed. The simulation results show that the proposed optimal dispatch can effectively enhance the flexibility of the power system and the penetration of RE and reduce pollutant emissions. Compared with the conventional method, the daily average emissions of CO2, SO2, and NOx with the proposed method are reduced by about 83,600 kg, 870 kg, and 370 kg, respectively, the maximum allowable volatility of net load is increased by 7.63%, and the average volatility of net load is reduced by 2.67%.

show abstract

“…The calculation method of G iτ kf considering the influence of the atmospheric boundary layer is described in [29]. are modeled as a quadratic function of the unit's output and linearized in phases, while the primary pollutant emissions of the CHP units are modeled using the corner method described in Appendix (A9)-(A12).…”

Section: Generation and Diffusionmentioning

confidence: 99%

“…To this end, some scholars have established a temporal and spatial distribution (TSD) model of pollutant emissions from power systems, shifting research focus from total pollutant control to optimization of GLC [26] uses the Gaussian plume diffusion model to simulate the diffusion of PM2.5 generated by the power system and incorporates it into the unit combination through differentiated environmental capacity costs. The Gaussian puff model used in [27], [28] is an extension of the Gaussian plume model, which is more suitable for small calm wind weather, and can improve the accuracy of pollutants TSD in haze weather [29] further considered the influence of atmospheric boundary layer (ABL) and attenuation benefits on pollutant dispersion, established a TSD model for various pollutants, and proposed a high-dimensional multi-objective optimization method; Based on this model, [30] developed a multi-objective EED strategy for the power-natural gas integrated energy system. However, the research using pollutant diffusion models to study the environmental benefits of CHP units has not been reported.…”

Section: Introductionmentioning

confidence: 99%

Dispatch for Urban Integrated Heat and Power System Considering Secondary PM2.5 Under Smart Environmental Sensing

et al. 2019

View full text Add to dashboard Cite

To improve the air quality and reduce the human settlement pollution, the effects of initial air pollutant emissions from urban heat and power generation with the diffusion of pollutants were often considered in the energy system dispatch, but the effects of secondary PM2.5 hazards caused by the urban energy system were almost ignored. In the urban integrated heat and power systems (UIHPS), under the support of smart environmental sensing, the introduction of integrated demand response (IDR) between the energy production side and consumer side is an effective means of reducing primary and secondary PM2.5 hazards. As for the diffusion of primary pollutants and the generation of secondary PM2.5 are affected by the uncertainty of weather conditions, a stochastic environmental economic dispatch (SEED) model for UIHPS considering IDR is proposed in this paper. Linearized secondary PM2.5 generation and diffusion functions for UIHPS dispatch are introduced into the objective function. The price-based IDR is performed on the Stackelberg game mechanism, and the game equilibrium solution is transformed as the SEED's constraint set by using the backward induction method. Simulations show that under the partly data supply from smart environmental sensing, the SEED model considering the secondary PM2.5 and IDR can effectively alleviate the comprehensive hazard of PM2.5 under severe haze weather. INDEX TERMS Environmental-economic dispatch, integrated heat and power system, secondary pm2.5, integrated demand response, Stackelberg game.

show abstract

Many-Objective Optimal Power Dispatch Strategy Incorporating Temporal and Spatial Distribution Control of Multiple Air Pollutants

Cited by 18 publications

References 34 publications

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

Optimal Dispatch of High-Penetration Renewable Energy Integrated Power System Based on Flexible Resources

Dispatch for Urban Integrated Heat and Power System Considering Secondary PM2.5 Under Smart Environmental Sensing

Contact Info

Product

Resources

About