Modeling and daily operation optimization of a distributed energy system considering economic and energy aspects

Tan, Yuhua; Wang, Xin; Zheng, Yongjun

doi:10.1002/er.4070

Cited by 16 publications

(19 citation statements)

References 42 publications

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“…The positions of whales are regarded as the candidate solution of the OEF problem and the position of the target prey is the global optimal solution. In the iteration process of the algorithm, candidate solution would keep getting closer to the global optimal solution according to position updating rules (ie, shrinking encircling operator, spiral updating operator, and random searching operator) of the whales, which could mathematically be modeled as follows:

bold-italicX false(t + 1 false) = ({, \begin{matrix} array \\ array {bold-italicX}^{*} (t) - A \cdot | C \cdot {bold-italicX}^{*} (t) - X (t) | (shrinking encircling operator) \\ array e^{b l} \cdot \cos (2 π l) \cdot | {bold-italicX}^{*} (t) - X (t) | + {bold-italicX}^{*} (t) (spiral updating operator) \\ array {bold-italicX}_{rand} (t) - A \cdot | C \cdot {bold-italicX}_{rand} (t) - X (t) | (random searching operator) \end{matrix},)

where X is the position vector of whales, ie, the candidate solution of the OEF problem; X ∗ is the position vector of the target prey, ie, the best solution obtained so far; X rand is the vector representing random positions chosen from the current population; t indicates the current iteration of the WOA and t max is the maximum number of iterations; A =2 a · r − a and C =2 r are coefficient vectors; a =2(1 − t / t max ) is control parameter; and r is a random vector in

([], 0, 1)

; b is a constant for defining the shape of the logarithmic spiral, l is a random number in

([], - 1, 1)

.…”

Section: Optimal Energy Flow In Electricity‐gas Integrated Energy Systemmentioning

confidence: 99%

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

2019

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Summary With the increasing interdependency of electricity and gas, it is necessary to simultaneously investigate electric power system and natural gas system from the perspective of an electricity‐gas integrated energy system (EGIES). As an extension and integration of both optimal power flow (OPF) and optimal gas flow (OGF), optimal energy flow (OEF) is regarded as the cornerstone of the EGIES and lays an essential foundation for further research on the EGIES's operation and analysis considering stochastic conditions and contingency states. The objective of this paper is to develop a generalized mathematical model and a universally applicable simulation tool for the OEF problem. First, natural gas system is modeled in a way similar to electric power system according to electricity‐gas analogy analysis, where gas admittance, gas nodal admittance matrix, and the nodal equation of gas flow conservation are derived. Then, a generalized accurate OEF model is formulated by simultaneously integrating the OPF model and the OGF model as well as their coupling constraints in a unified modeling framework. Furthermore, an available hybrid optimization approach consisting of whale optimization algorithm, MATPOWER, hydraulic calculation iterative program, and nonstationary penalty function method is put forward to solve the OEF problem. The accuracy, feasibility, and applicability of the proposed modeling and solution method is finally demonstrated by analyzing Belgian 20‐node gas system combined with IEEE 30‐bus test system.

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bold-italicX false(t + 1 false) = ({, \begin{matrix} array \\ array {bold-italicX}^{*} (t) - A \cdot | C \cdot {bold-italicX}^{*} (t) - X (t) | (shrinking encircling operator) \\ array e^{b l} \cdot \cos (2 π l) \cdot | {bold-italicX}^{*} (t) - X (t) | + {bold-italicX}^{*} (t) (spiral updating operator) \\ array {bold-italicX}_{rand} (t) - A \cdot | C \cdot {bold-italicX}_{rand} (t) - X (t) | (random searching operator) \end{matrix},)

([], 0, 1)

; b is a constant for defining the shape of the logarithmic spiral, l is a random number in

([], - 1, 1)

.…”

Section: Optimal Energy Flow In Electricity‐gas Integrated Energy Systemmentioning

confidence: 99%

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

2019

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“…19 Tan et al presented a distributed energy system for a local district and formulated a constrained nonlinear multiobjective optimization model for the daily operation of the system to increase the efficiency by minimizing energy cost, energy consumption, and energy losses. 20 Geng et al proposed that a novel interpretative structural model integrated the fuzzy theory to analyze the energy structure, obtain energy-saving potentials, and improve energy consumption. 21 Han et al presented a production capacity analysis and energy optimization model of the ethylene and purified terephthalic acid production systems in complex petrochemical industries based on a novel extreme learning machine integrating affinity propagation clustering.…”

Section: Related Workmentioning

confidence: 99%

“…A high‐fidelity dynamic model of a steam hydrogenation reactor was developed by Aeowjaroenlap et al, and the optimum operating policy was achieved by maximizing the overall cracking process economics through the enhancement of the selectivity and productivity of ethylene . Tan et al presented a distributed energy system for a local district and formulated a constrained nonlinear multiobjective optimization model for the daily operation of the system to increase the efficiency by minimizing energy cost, energy consumption, and energy losses . Geng et al proposed that a novel interpretative structural model integrated the fuzzy theory to analyze the energy structure, obtain energy‐saving potentials, and improve energy consumption .…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency optimization of ethylene production process with respect to a novel FLPEM‐based material‐product nexus

2019

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Summary Energy efficiency optimization and energy management can bring multiple economic benefits for the complicated petrochemical industries. However, the influence of the production scale and materials, and the uncertain data have a direct impact on the production prediction and energy efficiency optimization of ethylene production process, which is ignored by the conventional optimization strategies. To achieve energy management and reduce energy consumption considering the production technology, total energy, and material flows, a multiobjective energy efficiency optimization scheme for the ethylene production process with respect to material‐product nexus is proposed. Specifically, a total‐factor material‐product nexus model of the ethylene production is established by a novel functional link prediction error method–integrated algorithm, providing system‐level material equilibrium constraints for the energy efficiency optimization scheme. Then an optimization model with two mutually complementary energy efficiency indicators is established and implemented by the multiobjective particle swarm optimization integrating functional link prediction error method. The proposed energy efficiency optimization scheme is applied into a practical ethylene plant, and the optimization results demonstrate that energy efficiency of this plant is increased by 10.30%, synthetical energy consumption is decreased by 13.05%, and energy cost is decreased by 10.42%.

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“…32 Second, to the best of the authors' knowledge, timebased electricity CO 2 emission factors have never been taken into account in energy systems optimization studies for buildings applications. 51 The aim of this paper is to elaborate a mathematical model for the multiobjective synthesis of trigeneration systems assisted with solar-based RETs and TES from economic and environmental viewpoints. Depending on the resource consumed and the power plant type, the produced electricity will have different CO 2 emissions content.…”

Section: Introductionmentioning

confidence: 99%

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

2019

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This paper develops a multiperiod multiobjective optimization procedure to determine the optimal configuration and operational strategy of a trigeneration system assisted with solar-based technologies and thermal energy storage. The optimization model, formulated as mixed integer linear programming problem, incorporates dynamic operating conditions through time-dependent local climatic data, energy resources, energy demands, electricity prices, and electricity CO 2 emission factors. The methodology is applied to a case study of a residential building in Spain. First, the single-objective solutions are obtained, highlighting their fundamental differences regarding the installation of cogeneration (included in the optimal total annual cost solution) and solar-based technologies (included in the optimal total annual CO 2 emissions solution). Then, the Pareto curve is generated, and a decision-making approach is proposed to select the preferred trade-off solutions based on the marginal cost of CO 2 emissions saved. Additionally, sensitivity analyses are performed to investigate the influence of key parameters concerning energy resources prices, investment costs, and rooftop area. The analyses of the trade-off solutions verify the enormous potential for CO 2 emissions reduction, which can reach 32.3% with only 1.1% higher costs by displacing cogeneration in favor of the heat pump and the electric grid. Besides, with a modest cost increase of 7.3%, photovoltaic panels are incorporated, promoting an even greater CO 2 emissions reduction of 45.2%.

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Modeling and daily operation optimization of a distributed energy system considering economic and energy aspects

Cited by 16 publications

References 42 publications

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

A new modeling and solution method for optimal energy flow in electricity‐gas integrated energy system

Energy efficiency optimization of ethylene production process with respect to a novel FLPEM‐based material‐product nexus

A multiperiod multiobjective framework for the synthesis of trigeneration systems in tertiary sector buildings

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