scholarly journals Environmentally Constrained Optimal Dispatch Method for Combined Cooling, Heating, and Power Systems Using Two-Stage Optimization

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4135
Author(s):  
Haesung Jo ◽  
Jaemin Park ◽  
Insu Kim
Keyword(s):  
Power Generation ◽  
Energy Efficiency ◽  
Power Systems ◽  
Cost Savings ◽  
Two Stage ◽  
Energy Mix ◽  
Optimal Dispatch ◽  
Study Results ◽  
Combined Cooling ◽  
The Impact

The reliance on coal-fired power generation has gradually reduced with the growing interest in the environment and safety, and the environmental effects of power generation are now being considered. However, it can be difficult to provide stable power to end-users while minimizing environmental pollution by replacing coal-fired systems with combined cooling, heat, and power (CCHP) systems that use natural gas, because CCHP systems have various power output vulnerabilities. Therefore, purchasing power from external electric grids is essential in areas where CCHP systems are built; hence, optimal CCHP controls should also consider energy purchased from external grids. This study proposes a two-stage algorithm to optimally control CCHP systems. In Stage One, the optimal energy mix using the Lagrange multiplier method for state-wide grids from which CCHP systems purchase deficient electricity was calculated. In Stage Two, the purchased volumes from these grids were used as inputs to the proposed optimization algorithm to optimize CCHP systems suitable for metropolitan areas. We used case studies to identify the accurate energy efficiency, costs, and minimal emissions. We chose the Atlanta area to analyze the CCHP system’s impact on energy efficiency, cost variation, and emission savings. Then, we calculated an energy mix suitable for the region for each simulation period. The case study results confirm that deploying an optimized CCHP system can reduce purchased volumes from the grid while reducing total emissions. We also analyzed the impact of the CCHP system on emissions and cost savings.

scholarly journals A Two-Stage Industrial Load Forecasting Scheme for Day-Ahead Combined Cooling, Heating and Power Scheduling

Energies ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 443 ◽  
Author(s):  
Sungwoo Park ◽  
Jihoon Moon ◽  
Seungwon Jung ◽  
Seungmin Rho ◽  
Sung Wook Baik ◽  
...  
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Load Forecasting ◽  
Gradient Boosting ◽  
Generation Process ◽  
Two Stage ◽  
Power Scheduling ◽  
Extreme Gradient Boosting ◽  
Random Forest Models ◽  
Combined Cooling

Smart grid systems, which have gained much attention due to its ability to reduce operation and management costs of power systems, consist of diverse components including energy storage, renewable energy, and combined cooling, heating and power (CCHP) systems. The CCHP has been investigated to reduce energy costs by using the thermal energy generated during the power generation process. For efficient utilization of CCHP and numerous power generation systems, accurate short-term load forecasting (STLF) is necessary. So far, even though many single algorithm-based STLF models have been proposed, they showed limited success in terms of applicability and coverage. This problem can be alleviated by combining such single algorithm-based models in ways that take advantage of their strengths. In this paper, we propose a novel two-stage STLF scheme; extreme gradient boosting and random forest models are executed in the first stage, and deep neural networks are executed in the second stage to combine them. To show the effectiveness of our proposed scheme, we compare our model with other popular single algorithm-based forecasting models and then show how much electric charges can be saved by operating CCHP based on the schedules made by the economic analysis on the predicted electric loads.

scholarly journals Demand Flexibility Management for Buildings-to-Grid Integration with Uncertain Generation

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6532
Author(s):  
Vahab Rostampour ◽  
Thom S. Badings ◽  
Jacquelien M. A. Scherpen
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Distribution System ◽  
Large Scale ◽  
Wind Power Generation ◽  
Forecast Errors ◽  
Monte Carlo Simulation Study ◽  
System Operator ◽  
The Impact

We present a Buildings-to-Grid (BtG) integration framework with intermittent wind-power generation and demand flexibility management provided by buildings. First, we extend the existing BtG models by introducing uncertain wind-power generation and reformulating the interactions between the Transmission System Operator (TSO), Distribution System Operators (DSO), and buildings. We then develop a unified BtG control framework to deal with forecast errors in the wind power, by considering ancillary services from both reserves and demand-side flexibility. The resulting framework is formulated as a finite-horizon stochastic model predictive control (MPC) problem, which is generally hard to solve due to the unknown distribution of the wind-power generation. To overcome this limitation, we present a tractable robust reformulation, together with probabilistic feasibility guarantees. We demonstrate that the proposed demand flexibility management can substitute the traditional reserve scheduling services in power systems with high levels of uncertain generation. Moreover, we show that this change does not jeopardize the stability of the grid or violate thermal comfort constraints of buildings. We finally provide a large-scale Monte Carlo simulation study to confirm the impact of achievements.

scholarly journals Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-Based Wind Power Generation

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6270
Author(s):  
Jianqiang Luo ◽  
Siqi Bu ◽  
Jiebei Zhu
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Oscillation Mode ◽  
Wind Power Generation ◽  
Correlation Ratio ◽  
State Variables ◽  
Interesting Phenomenon ◽  
Electromechanical Dynamics ◽  
The Impact

Previous studies generally consider that the full converter-based wind power generation (FCWG) is a “decoupled” power source from the grid, which hardly participates in electromechanical oscillations. However, it was found recently that strong interaction could be induced which might incur severe resonance incidents in the electromechanical dynamic timescale. In this paper, the participation of FCWG in electromechanical dynamics is extensively investigated, and particularly, an unusual transition of the electromechanical oscillation mode (EOM) is uncovered for the first time. The detailed mathematical models of the open-loop and closed-loop power systems are firstly established, and modal analysis is employed to quantify the FCWG participation in electromechanical dynamics, with two new mode identification criteria, i.e., FCWG dynamics correlation ratio (FDCR) and quasi-electromechanical loop correlation ratio (QELCR). On this basis, the impact of different wind penetration levels and controller parameter settings on the participation of FCWG is investigated. It is revealed that if an FCWG oscillation mode (FOM) has a similar oscillation frequency to the system EOMs, there is a high possibility to induce strong interactions between FCWG dynamics and system electromechanical dynamics of the external power systems. In this circumstance, an interesting phenomenon may occur that an EOM may be dominated by FCWG dynamics, and hence is transformed into a quasi-EOM, which actively involves the participation of FCWG quasi-electromechanical state variables.

scholarly journals Modelling the impact of energy policies on the Philippine economy: Carbon tax, energy efficiency, and changes in the energy mix

2015 ◽  
Vol 48 ◽  
pp. 222-237 ◽  
Author(s):  
Helen Cabalu ◽  
Paul Koshy ◽  
Erwin Corong ◽  
U-Primo E. Rodriguez ◽  
Benjamin A. Endriga
Keyword(s):  
Energy Efficiency ◽  
Carbon Tax ◽  
Energy Policies ◽  
Energy Mix ◽  
The Impact

Heat Recovery From Commercial On-Site Power Generation System: Desiccant Dehumidification vs. Absorption Cooling

2003 ◽  
Author(s):  
Marek Czachorski ◽  
John Kelly ◽  
Kevin Olsen
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Heat Recovery ◽  
New Technologies ◽  
Cost Savings ◽  
Climatic Conditions ◽  
Hot Water ◽  
Medium Size ◽  
Commercial Building ◽  
Absorption Cooling

As commercial building on-site power generation technologies mature to the point of becoming “off-the-shelf” products, the importance of effective heat recovery is demonstrated time and time again in applications where three to six year paybacks typically are necessary to convince building owners to purchase and install these new technologies. This paper explores the effectiveness and economic benefit of different methods of utilizing recoverable heat from on-site power generation equipment in commercial buildings (Cooling, Heating and Power systems – CHP). An optimal configuration of heat recovery options is explored based on analysis of heat recovery from microturbine(s) exhaust to support commercial building heating and cooling/dehumidification needs. Benefits of recovering heat for space heating/domestic hot water production and to support desiccant dehumidification vs. absorption cooling are studied in five different building types (large supermarket, large retail store, medium size office building, full service restaurant and quick service restaurant). Buildings are evaluated at four different geographical locations, allowing additional study of the climatic conditions on the optimum heat recovery system configuration for specific building types. A sophisticated model, incorporating performance algorithms of state-of-the-art power generation, dehumidification and absorption cooling equipment, is used for calculating annual energy/cost savings for CHP systems and optimization of basic parameters, such as generator size/number and heat recovery equipment selection.

scholarly journals A Two-Stage Cooperative Dispatch Model for Power Systems Considering Security and Source-Load Interaction

2021 ◽  
Vol 13 (23) ◽  
pp. 13350
Author(s):  
Haiteng Han ◽  
Chen Wu ◽  
Zhinong Wei ◽  
Haixiang Zang ◽  
Guoqiang Sun ◽  
...  
Keyword(s):  
Power Systems ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Operating Cost ◽  
Multi Objective Optimization ◽  
Two Stage ◽  
Optimal Dispatch ◽  
Second Stage ◽  
The Relationship ◽  
Interactive Resources

In modern power systems with more renewable energy sources connected, the consideration of both security and economy becomes the key to research on power system optimal dispatch, especially when more participants from the source and load sides join in the interaction response activities. In this paper, we propose a two-stage dispatch model that contains a day-ahead multi-objective optimization scheduling sub-model that combines a hyper-box and hyper-ellipse space theory-based system security index in the first stage, and an intraday adjustment scheduling sub-model that considers active demand response (DR) behavior in the second stage. This model is able to quantitatively analyze the relationship between the security and economy of the system dispatch process, as well as the impacts of the interaction response behavior on the wind power consumption and the system’s daily operating cost. The model can be applied to the evaluation of the response mechanism design for interactive resources in regional power systems.

scholarly journals Toward Cleaner Production: Can Mobile Phone Technology Help Reduce Inorganic Fertilizer Application? Evidence Using a National Level Dataset

Land ◽  
2021 ◽  
Vol 10 (10) ◽  
pp. 1023
Author(s):  
Nawab Khan ◽  
Ram L. Ray ◽  
Hazem S. Kassem ◽  
Muhammad Ihtisham ◽  
Abdullah ◽  
...  
Keyword(s):  
Human Capital ◽  
Mobile Phone ◽  
Rural Households ◽  
Inorganic Fertilizer ◽  
Two Stage ◽  
Promotion Policy ◽  
Remote Areas ◽  
Promotion Policies ◽  
Study Results ◽  
The Impact

Increasing agricultural production and optimizing inorganic fertilizer (IF) use are imperative for agricultural and environmental sustainability. Mobile phone usage (MPU) has the potential to reduce IF application while ensuring environmental and agricultural sustainability goals. The main objectives of this study were to assess MPU, mobile phone promotion policy, and whether the mediation role of human capital can help reduce IF use. This study used baseline regression analysis and propensity score matching, difference-in-differences (PSM-DID) to assess the impact of MPU on IF usage. However, the two-stage instrumental variables method (IVM) was used to study the effects of mobile phone promotion policy on IF usage. This study used a national dataset from 7,987 rural households in Afghanistan to investigate the impacts of MPU and associated promotion policies on IF application. The baseline regression outcomes showed that the MPU significantly reduced IF usage. The evaluation mechanism revealed that mobile phones help reduce IF application by improving the human capital of farmers. Besides, evidence from the DID technique showed that mobile phone promotion policies lowered IF application. These results remained robust after applying the PSM-DID method and two-stage IVM to control endogenous decisions of rural households. This study results imply that enhancing the accessibility of wideband in remote areas, promoting MPU, and increasing investment in information communication technologies (ICTs) infrastructure can help decrease the IF application in agriculture. Thus, the government should invest in remote areas to facilitate access to ICTs, such as having a telephone and access to a cellular and internet network to provide an environment and facility to apply IF effectively. Further, particular policy support must focus on how vulnerable populations access the internet and mobile phone technologies.

scholarly journals Transition from Electromechanical Dynamics to Quasi-Electromechanical Dynamics Caused by Participation of Full Converter-based Wind Power Generation

2020 ◽  
Author(s):  
Jianqiang Luo ◽  
Siqi Bu
Keyword(s):  
Power Generation ◽  
Power Systems ◽  
Wind Power ◽  
Oscillation Mode ◽  
Wind Power Generation ◽  
Correlation Ratio ◽  
State Variables ◽  
Interesting Phenomenon ◽  
Electromechanical Dynamics ◽  
The Impact

Previous studies generally reckon that the full converter-base wind power generation (FCWG) is a ’decoupled’ power source from the grid, which hardly participates in electromechanical oscillations. However, it is found recently that strong interaction could be induced which might incur severe resonance incidents in electromechanical dynamic timescale. In this paper, the participation of FCWG in electromechanical dynamics is extensively investigated, and particularly, an unusual transition of electromechanical oscillation mode (EOM) is uncovered for the first time. The detailed mathematical models of open-loop and closed-loop power systems are firstly established, and modal analysis is employed to quantify the FCWG participation in electromechanical dynamics, with two new mode identification criteria, i.e., FCWG dynamics correlation ratio (FDCR) and quasi-electromechanical loop correlation ratio (QELCR). On this basis, the impact of different wind penetration levels and controller parameter settings on the participation of FCWG is investigated. It is revealed that if an FOM has a similar oscillation frequency to the system EOMs, there is a high possibility to induce strong interactions between FCWG dynamics and system electromechanical dynamics of the external power systems. In this circumstance, an interesting phenomenon may occur that an EOM may be dominated by FCWG dynamics, and hence is transformed into a quasi-EOM, which actively involves the participation of FCWG quasi-electromechanical state variables.

Sign in / Sign up

Export Citation Format

Share Document