Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices

Zhang, Dongdong; Zhu, Hongyu; Zhang, Hongcai; Goh, Hui Hwang; Liu, Hui; Wu, Thomas

doi:10.1109/tsg.2021.3128547

Cited by 97 publications

(33 citation statements)

References 45 publications

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“…Different energy pricing schemes are used in power systems to encourage consumers to actively respond to energy price variations. Among them, Time-of-Use (TOU) [47], Critical Peak Pricing (CPP) [48], and dynamic pricing [49] are widely used. In the latter, some financial incentives are offered to consumers to persuade them to contribute to DRPs.…”

Section: Demand Flexibilitymentioning

confidence: 99%

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Golmohamadi

2022

Sustainability

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In recent years, environmental concerns about climate change and global warming have encouraged countries to increase investment in renewable energies. As the penetration of renewable power goes up, the intermittency of the power system increases. To counterbalance the power fluctuations, demand-side flexibility is a workable solution. This paper reviews the flexibility potentials of demand sectors, including residential, industrial, commercial, and agricultural, to facilitate the integration of renewables into power systems. In the residential sector, home energy management systems and heat pumps exhibit great flexibility potential. The former can unlock the flexibility of household devices, e.g., wet appliances and lighting systems. The latter integrates the joint heat–power flexibility of heating systems into power grids. In the industrial sector, heavy industries, e.g., cement manufacturing plants, metal smelting, and oil refinery plants, are surveyed. It is discussed how energy-intensive plants can provide flexibility for energy systems. In the commercial sector, supermarket refrigerators, hotels/restaurants, and commercial parking lots of electric vehicles are pointed out. Large-scale parking lots of electric vehicles can be considered as great electrical storage not only to provide flexibility for the upstream network but also to supply the local commercial sector, e.g., shopping stores. In the agricultural sector, irrigation pumps, on-farm solar sites, and variable-frequency-drive water pumps are shown as flexible demands. The flexibility potentials of livestock farms are also surveyed.

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Section: Demand Flexibilitymentioning

confidence: 99%

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Golmohamadi

2022

Sustainability

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“… 53 Such research can help the government formulate more reasonable energy policies and help the country realize the transformation of energy structure, so as to achieve sustainable development in the long term. 54 During this epidemic, the energy industry has been under great pressure. When the existing planning is impacted, the proportion of more stable fossil fuels and other traditional energy in the energy system has been increased.…”

Section: Introductionmentioning

confidence: 99%

Review and outlook of global energy use under the impact of COVID‐19

Zhang

Rong

Ahmad

et al. 2022

Engineering Reports

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By collecting and sorting the energy demand data of developing and developed countries, this paper makes a comprehensive analysis of their energy demand, including the change of energy demand and the change trend of energy load in various sectors. The survey scope of the article includes the overall change trend of energy supply, natural gas, oil, electricity, coal, renewable energy (such as wind energy, solar energy, geothermal energy, tidal energy, etc.), and the data change of global carbon dioxide emission. Besides, this paper selects a variety of energy sources for comprehensive analysis to analyze the existing change trend in chronological order. The analysis methods include data statistics of primary energy production and consumption, energy intensity analysis of gross domestic product (GDP), production, and demand balance of oil, natural gas, and coal, and study the trade balance between different types of energy in different countries and regions. The regions examined in this review include the organization for economic cooperation and development (OECD); the group of seven (G7); Brazil, Russia, India, China and South Africa (BRICs); the European Union; Europe; North America; the Commonwealth of Independent States (CIS); Asia; Latin America; the Pacific Ocean; the Middle East and Africa. By studying these data, we can make a better summary of the current energy use, so as to conveniently grasp the context of energy development and have a general understanding of the current energy structure. Therefore, individuals and policymakers in the fields of energy trade can think more deeply about the future situation and draw conclusions.

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“…For example, Muthuselvi and Saravanan (2021) proposed a time-of-use pricing dynamic pricing scheme to curb peak demand during peak periods by guiding customer load shifting through time-of-use pricing. Meanwhile, Yang et al (2018) and Zhang et al (2022) proposed price-based demand response mechanisms to direct customers to increase or decrease their loads in different scenarios through pricing. Lu et al (2020) used points as an incentive and design a residential real-time point package mechanism to promote peak reduction and valley filling.…”

Section: Introductionmentioning

confidence: 99%

“…In electricity consumption behavior, customers are satisfiers rather than maximizers (Liu et al, 2017;Alfaverh et al, 2020), which means that demand-side participation in grid interaction is more random and volatile. The accuracy of these methods (Zhong et al, 2013;Xin et al, 2016;Yang et al, 2018;Jun and Qi, 2019;En et al, 2020;Lu et al, 2020;Muthuselvi and Saravanan, 2021;Yun et al, 2021;Zhi et al, 2021;Zhang et al, 2022) for calculating the customer electricity consumption adjustment amount is low. To improve the accuracy of customer electricity consumption adjustment volume prediction, Yuan et al (2021) constructed a short-term load forecasting model of RBF neural network considering demand response factor, which reflects the change of load curve due to the influence of demand response signal.…”

Section: Introductionmentioning

confidence: 99%

Research on method of demand-side participating in grid interaction based on time-of-use pricing and coupon guidance

Wang

Yan

et al. 2022

Front. Energy Res.

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The electricity grid is facing the dual pressure of a high percentage of renewable energy generation and increasing load-side spike load. The participation of demand-side resources in grid interaction is an effective solution to this problem. To address this issue, a demand-side guidance method based on time-of-use pricing and coupon is proposed to increase the revenue of power retailers and reduce peak-valley difference. First, a guidance mechanism combining time-of-use pricing and coupon is proposed, and an adjustment load prediction model based on Attention-LSTM network is constructed to predict the adjustment load of electricity customers under different coupon coefficients. Based on this, a power purchase-sale optimization decision model in multi-level electricity market with the goal of maximizing the revenue of power retailers is established to set a suitable coupon strategy to guide electricity customers to participate in the interaction more precisely. Finally, the effectiveness of the proposed method is demonstrated by arithmetic examples.

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Multi-Objective Optimization for Smart Integrated Energy System Considering Demand Responses and Dynamic Prices

Cited by 97 publications

References 45 publications

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors

Review and outlook of global energy use under the impact of COVID‐19

Research on method of demand-side participating in grid interaction based on time-of-use pricing and coupon guidance

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