Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response

Xu, Wilsun; Zhou, Dan; Huang, Xiaoming; Lou, Boliang; Liu, Dong

doi:10.1016/j.apenergy.2020.115407

Cited by 31 publications

(10 citation statements)

References 33 publications

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“…(1) Making balance for power and gas (2) Reduction of energy consumption cost (3) Reduction of strain on power grids [133] Data Centers (1) Facilitate the integration of renewable energies to power grids (2) Providing peak-load shaving [134] Industrial Parks and Zones (1) Optimization of investment cost on industrial parks (2) Prevent imbalance of energy shifting [135]…”

Section: Textile Industrymentioning

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: Textile Industrymentioning

confidence: 99%

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

Golmohamadi

2022

Sustainability

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“…However, renewable energy has the characteristics of intermittent and uncontrollable power generation, and the consumption of renewable energy has always been a stumbling block to its popularization [4]. In particular, with the rapid increase of the penetration rate of renewable energy and the rapid expansion of grid connection scale, the risk of power abandonment and the safe and stable operation of the system caused by the huge demand for flexibility, multi energy complementarity is one of the internationally recognized feasible ways to solve the problem of new energy consumption [5,6].…”

Section: Introductionmentioning

confidence: 99%

Coordinated Optimal Scheduling of WPHTNS Power System Based on Adaptive Improved Genetic Algorithm

Zhang,

Tian

2023

IEEE Access

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In order to solve the problem of poor grid connected consumption capacity of renewable energy in power system, a multi-source coordinated optimal scheduling method of wind-PV-hydro-thermalnuclear-storage is proposed in this paper. The optimal scheduling method comprehensively considers the constraints of system power balance, capacity and climbing rate of various power generation modes, establishes the objective function based on the system power purchase cost and renewable energy consumption, obtains the weight relationship between the objective functions by analytic hierarchy process. An adaptive improved genetic algorithm is proposed, and the objective function is solved and the results are compared by this algorithm and three algorithms such as adaptive improved particle swarm algorithm,

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“…For example, Gu et al [7] establish a bi-level model that considers the gap of peak-valley demands and high penetration of distributed generation to minimize the operation cost of an industrial park, which, however, does not consider renewable energy generation. To quantitatively investigate the relationship between the planning cost and the renewable energy sources, Xu et al [8] establish a demand response model with day-ahead pricing and an allocation method of a multi-energy system in industrial parks. Taking into account the impact of weather factors on the variation in loads and renewable energy, Zhu et al [9] form typical weather scenarios to describe the uncertainty in these factors and propose an energy management strategy of regional integrated energy systems in industrial parks considering correspondence between the multi-energy demand and supply.…”

Section: Introductionmentioning

confidence: 99%

Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints

Zhu¹,

Yang²,

Ma³

et al. 2022

Preprint

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Contemporary industrial parks are challenged by the growing concerns about high cost and low efficiency of energy supply. Moreover, in the case of uncertain supply/demand, how to mobilize delay-tolerant elastic loads and compensate real-time inelastic loads to match multi-energy generation/storage and minimize energy cost is a key issue. Since energy management is hardly to be implemented offline without knowing statistical information of random variables, this paper presents a systematic online energy cost minimization framework to fulfill the complementary utilization of multi-energy with time-varying generation, demand and price. Specifically to achieve charging/discharging constraints due to storage and short-term energy balancing, a fast distributed algorithm based on stochastic gradient with two-timescale implementation is proposed to ensure online implementation. To reduce the peak loads, an incentive mechanism is implemented by estimating users' willingness to shift. Analytical results on parameter setting are also given to guarantee feasibility and optimality of the

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Optimal allocation of power supply systems in industrial parks considering multi-energy complementarity and demand response

Cited by 31 publications

References 33 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

Coordinated Optimal Scheduling of WPHTNS Power System Based on Adaptive Improved Genetic Algorithm

Stochastic Gradient-based Fast Distributed Multi-Energy Management for an Industrial Park with Temporally-Coupled Constraints

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