Optimal Scheduling of the Regional Integrated Energy System Considering Economy and Environment

Wang, Yongli; Wang, Yudong; Huang, Yujing; Hao, Yu; Du, Ruiting; Zhang, Fuli; Zhang, Fuwei; Zhu, Jianqin

doi:10.1109/tste.2018.2876498

Cited by 126 publications

(53 citation statements)

References 18 publications

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“…(1) RTP pricing (as shown in Figure 3a, belongs to the date 28 August 2017, available in [35]); (2) TOU pricing according to work shifts (as shown in Figure 3b);…”

Section: Case Imentioning

confidence: 99%

“…The DR program refers to a set of measures aimed at encouraging a voluntary change in the consumers' electricity usage pattern in response to changes in electricity prices or grid reliability conditions. The increase in the demand-side capacity following the participation in such programs could effectively reduce the electricity costs [2] and improve the robust operation of energy systems [3], as well as enhance system reliability [4,5]. The US Department of Energy has defined DR as changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time (passive participation), or to incentive payments (active participation) designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized [6].…”

Section: Introductionmentioning

confidence: 99%

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A Flexible Responsive Load Economic Model for Industrial Demands

et al. 2019

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The best pricing method for any company in a perfectly competitive market is the pricing scheme with regards to the marginal cost. In contrast to this environment, there is a market with imperfect competition. In this market, the price can be affected by some players in the generation/demand side (i.e., suppliers and/or buyers). In the economic literature, “market power” refers to a company that has the power to affect prices. In fact, market power is often defined as the ability to divert prices from competitive levels. In the electricity market, especially because of the integration of intermittent renewable energy resources (RESs) along with the inflexibility of demand, there are levels of market power on the supply side. Hence, implementation of demand response (DR) programs is necessary to increase the flexibility of the demand side to deal with the intermittency of renewable generations and at the same time tackle the market power of the supply side. This paper uses economic theories and mathematical formulations to develop a flexible responsive load economic model (FRLEM) based on real-time pricing (RTP) to show modification of the load profile and mitigation of the energy costs for an industrial zone. This model was developed based on constant elasticity of the substitution utility function, known as one of the most popular utility functions in microeconomics.

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“…(1) RTP pricing (as shown in Figure 3a, belongs to the date 28 August 2017, available in [35]); (2) TOU pricing according to work shifts (as shown in Figure 3b);…”

Section: Case Imentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Flexible Responsive Load Economic Model for Industrial Demands

et al. 2019

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“…Among them, it is particularly important to break the current traditional model of energy systems being designed and operated separately, combine the various energy systems and increase the synergies among various energy systems [3]. With the deepening of the concept of energy internet, the IES as the physical carrier of energy internet has gradually attracted the attention of relevant scholars [4][5].…”

Section: Introductionmentioning

confidence: 99%

Operation Optimization of Integrated Energy Systems Based on Heat Storage Characteristics of Heating Network

PAN¹,

Li²,

WANG³

et al. 2020

Preprint

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Abstract Background With the rapid development of multi-energy technology and the wide application of electric-heat integrated energy system (IES), multi-energy network optimization has become an important research direction of multi-energy joint supply in recent years.Compared with electric energy, heat energy has the characteristics of delay in transmission time and fuzzy body temperature, which makes the heating system more flexible to participate in IES. Methods An operation optimization model for the electric-heat IES that takes into account the heat storage characteristics of the heating network is proposed to address the operation cost of the electric-heat IES. Firstly, the virtual energy storage characteristics of the heating network are proposed based on the characteristics of the transmission time delay of the heat system and the somatic blurring of user temperature. Then, the model of the dynamic transfer of energy in the heat system was built. Based on this, an operation optimization model of the electric-heat IES is established. And the Monte Carlo Simulation embedded Quantum Particle Swarm Optimization (MCS-QPSO) algorithm is proposed to solve the model. Results This paper takes a park in Northwest China as a simulation case to prove the effectiveness of the model. The analysis of the case shows that the model can optimize the output of energy supply equipment, so that the output equipment can maintain high efficiency. The mode changes the energy purchase strategy according to the price change of different energy. The results show that the proposed model can effectively utilize the virtual energy storage characteristics of the heating network to achieve energy transfer across time, thus reducing the operation cost of the IES. Conclusions In this paper, the operation optimization model of the electric heating IES is established based on the incubation period of the heating network and the virtual energy storage characteristics. The model can not only achieve the coordination and complementarity between the electric and thermal systems in time and space, but also improve the energy efficiency and reduce operation cost of the system.

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“…The transformation and upgrading of traditional energy systems are imminent, therefore, the RIES has emerged as the times require [3]. The RIES is a typical energy internet based on a multi-energy complementary structure, which combines various ways of energy supply, such as electric power, photovoltaic energy, wind energy, nature gas and other types of energy to provide users with gas, heat and electricity at a higher overall system energy efficiency [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System

2019

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With the increasing attention of the clean and efficient use of energy, the regional integrated energy system (RIES), as an efficient measure to improve energy efficiency, is tending to play an important role in the field of energy supply. The configuration of multiple energy storage equipment in the RIES can greatly improve the economy of the system, which is an important research direction of RIES planning. However, at present the research on the configuration optimization of electric-gas-thermal multi-energy storage devices in RIES is insufficient. Under this background, a method for configuring the rated capacity and power of various energy storage devices in the RIES under both off-grid and grid-connected operating modes was proposed in this paper, and the configuration optimization model was also established. Firstly, the RIES was divided into four parts: Energy supply, energy conversion, energy storage and the load. Based on the energy hub concept, the four parts were modeled respectively. Secondly, considering the influence of electric energy substitution and operation strategy, the optimal configuration of multi-energy storage devices was modeled as a MILP formulation and solved with the Gurobi optimizer. Finally, a case study verified the effectiveness of the proposed model and the method. Furthermore, the sensitivity analysis was carried out to quantify the influence degree of each factor (such as price, etc.) on the energy storage configuration.

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Optimal Scheduling of the Regional Integrated Energy System Considering Economy and Environment

Cited by 126 publications

References 18 publications

A Flexible Responsive Load Economic Model for Industrial Demands

A Flexible Responsive Load Economic Model for Industrial Demands

Operation Optimization of Integrated Energy Systems Based on Heat Storage Characteristics of Heating Network

Optimal Configuration of Electric-Gas-Thermal Multi-Energy Storage System for Regional Integrated Energy System

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