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首页> 外文期刊>Applied Energy >Homogenized adjacent points method: A novel Pareto optimizer for linearized multi-objective optimal energy flow of integrated electricity and gas system
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Homogenized adjacent points method: A novel Pareto optimizer for linearized multi-objective optimal energy flow of integrated electricity and gas system

机译：均质相邻点方法：一种新颖的帕累托优化器，用于线性化的电力和燃气系统的多目标最优能量流

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摘要

This paper constructs a novel multi-objective optimal energy flow of an integrated electricity and gas system to fully exploit complementary benefits of the system. To ensure a reliable convergence, an incremental piecewise linearization is employed to linearize the original nonlinear problem into a mixed integer linear programming. Actually, the proposed issue represents a highly constrained optimization with numerous variables and multiple conflicting objectives. To effectively solve the problem, a novel analytical Pareto optimizer called homogenized adjacent points method (HAPM) is first proposed, which aims to obtain a Pareto solution set with three basic strategies, including axes homogenization, adjacent points calculation and adjacent points filtration. Compared to the existing methods, the major superiority of HAPM is that the algorithm can obtain a full distribution of Pareto solution set with the boundary of Pareto front and non-dominated quality of the solutions. Finally, a best compromise solution is identified from the Pareto solution set using an entropy weight based ideal point method. Simulation results indicate an environmentally friendly and reliable integrated electricity and gas system is realized with a slight cost sacrifice, and validate the robustness of HAPM to obtain a non-dominated, uniform and widespread Pareto solution set compared with existing methods.
机译：本文构建了一种新颖的电力和天然气集成系统的多目标最优能量流，以充分利用该系统的互补优势。为了确保可靠的收敛，采用增量分段线性化将原始非线性问题线性化为混合整数线性规划。实际上，提出的问题代表了一个高度受限的优化，具有众多变量和多个相互矛盾的目标。为了有效地解决该问题，首先提出了一种新颖的分析帕累托优化器，称为均质化相邻点方法（HAPM），其目的是获得一种具有三种基本策略的帕累托解集，包括轴均质化，相邻点计算和相邻点过滤。与现有方法相比，HAPM的主要优势在于，该算法可以获得具有Pareto前沿边界和非支配质量的Pareto解集的完整分布。最后，使用基于熵权的理想点方法从帕累托解决方案集中确定最佳折衷解决方案。仿真结果表明，与现有方法相比，实现了一种环境友好，可靠的电力和燃气集成系统，并且牺牲了少许成本，并验证了HAPM的鲁棒性，从而获得了非支配，统一和广泛的Pareto解决方案集。

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