Multi-Time Scale Economic Optimization Dispatch of the Park Integrated Energy System

Zhang, Fan; Ma, Xikui; Yao, Senjing; Zhong, Zhuolin; Yang, Ping; Zhao, Zhuoli; Lai, Chun Sing; Lai, Loi Lei

doi:10.3389/fenrg.2021.743619

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Since many of the optimization techniques used in district energy systems are in the operation phase [15][16][17], the energy consumption, cost, environmental impacts, and optimization framework have only been determined for the operation stage. However, the entire life cycle is rarely considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

Wei¹,

Zhao²,

Cong³

et al. 2023

Energy Engineering

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With increasing renewable energy utilization, the industry needs an accurate tool to select and size renewable energy equipment and evaluate the corresponding renewable energy plans. This study aims to bring new insights into sustainable and energy-efficient urban planning by developing a practical method for optimizing the production of renewable energy and carbon emission in urban areas. First, we provide a detailed formulation to calculate the renewable energy demand based on total energy demand. Second, we construct a dual-objective optimization model that represents the life cycle cost and carbon emission of renewable energy systems, after which we apply the differential evolution algorithm to solve the optimization result. Finally, we conduct a case study in Qingdao, China, to demonstrate the effectiveness of this optimization model. Compared to the baseline design, the proposed model reduced annual costs and annual carbon emissions by 14.39% and 72.65%, respectively. These results revealed that dual-objective optimization is an effective method to optimize economic benefits and reduce carbon emissions. Overall, this study will assist energy planners in evaluating the impacts of urban renewable energy projects on the economy and carbon emissions during the planning stage.

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Section: Literature Reviewmentioning

confidence: 99%

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

Wei¹,

Zhao²,

Cong³

et al. 2023

Energy Engineering

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“…Overall system power generation costs are reduced. Li et al (2021b) proposed an optimal dispatch framework of PIES, which constructs the operation models under three different time scales, including day-ahead, intraday, and real time. Demand response is also divided into three levels considering its response characteristics and cost composition under different time scales.…”

Section: Introductionmentioning

confidence: 99%

An Economical Optimization Method for Active Power With Variable Droop Control Considering Frequency Regulation Costs in Integrated Energy Systems

Zang

Ge²,

Wang³

et al. 2022

Front. Energy Res.

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As a high proportion of clean energy is connected to the power grid, the occupancy rate of the system synchronous machine decreases, the inertia constant of the system decreases, and the difficulty of frequency adjustment continues to increase. The imbalance of frequency is mainly caused by the imbalance of active power, so the problem of frequency can be transformed into the problem of active power balance. According to the droop control principle, the concept of the equivalent unit regulating power coefficient is proposed, and the equivalent unit regulating power is determined by determining the system parameters and frequency offset. In order to reduce the frequency regulation cost in the integrated energy system, a feasible method considering the frequency regulation cost is the proposed variable droop control active power economic optimization method. First, the integrated energy system in this study consists of carbon capture power plants, a wind turbine generator system (WTGS), a photovoltaic power generation system, and energy storage batteries. All four types of power supply leave spare capacity to participate in frequency regulation through droop control. Second, the concept of the equivalent unit regulating power coefficient (equivalent coefficient) and the mathematical model of the equivalent unit regulating power coefficient of the integrated energy system are put forward. Then, within the allowable range of frequency fluctuations, considering carbon trading and ancillary service markets and aiming at the lowest frequency regulation cost, an economical optimal distribution method is established for active power in an integrated energy system including carbon capture power plants, wind power, photovoltaic, and energy storage. Taking a city in the north as an example, the improved moth flame algorithm is used to solve the problem. The simulation results show that the proposed model can improve the frequency regulation characteristics and reduce the frequency regulation cost.

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“…At present, the world is facing increasing pressure to save energy and protect the environment, and how to reduce environmental pollution based on ensuring a continuous supply of energy is a problem that countries have to consider (Yang and Su, 2021). Integrated energy system (IES) is a significant way to consume various types of distributed renewable energy, which is important for promoting the consumption of various types of renewable energy and establishing a new type of green and low-carbon power system (Li et al, 2021). IES is a deep integration of multiple energy sources and information technology that can promote the sustainable development of energy.…”

Section: Introductionmentioning

confidence: 99%

Distributed Economic Dispatch Based on Finite-Time Double-Consensus Algorithm of Integrated Energy System

Yang

Du²

2022

Front. Energy Res.

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To reduce the operating cost and enhance the energy utilization efficiency of the integrated energy system (IES), an economic dispatch algorithm is proposed based on finite-time double-consensus. First, an economic dispatch model of IES under two modes of operation, islanded and grid-connected, is constructed considering energy transmission losses. After that, the optimal improved incremental cost and power output allocation of the IES can be found out in finite time. The proposed algorithm contains two finite-time consistency protocols simultaneously that can solve the optimal values of the incremental cost of electricity and heat of integrated energy system, solving the strong coupling problem of multi-energy systems. The proposed algorithm not only has a faster convergence rate but also enables switching freely between the two operation modes. In addition, a distributed method for quickly discovering the total system power mismatch is proposed in the process of algorithm solving. The finite-time convergence of the proposed algorithm is demonstrated. Finally, the IES simulation based on the IEEE 30-node power system and the Bali 32-node thermal system is established. The analysis of the simulation results shows that the algorithm proposed in this paper is effective.

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Multi-Time Scale Economic Optimization Dispatch of the Park Integrated Energy System

Cited by 6 publications

References 26 publications

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

Regional Renewable Energy Optimization Based on Economic Benefits and Carbon Emissions

An Economical Optimization Method for Active Power With Variable Droop Control Considering Frequency Regulation Costs in Integrated Energy Systems

Distributed Economic Dispatch Based on Finite-Time Double-Consensus Algorithm of Integrated Energy System

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