园区综合能源系统通过多能耦合互补和协同优化调度，可以显著提高能源利用率和促进可再生能源消纳，已成为用户侧满足多能供需的一种新的能源利用实现方式。以河北雄安新区某园区作为研究对象，设计了一种计及负荷供给可靠性的园区综合能源系统两阶段优化方法：第一阶段基于带有精英保留策略的二代非支配排序遗传算法(NSGA-II)，对园区能源站设备类型及容量进行优化，是一个多目标规划优化问题，其目的是实现经济成本和环境成本的协调优化；第二阶段是一个运行优化问题，针对上一阶段规划得到的多组帕累托前沿解，利用混合整数线性规划(mixed integer linear programming，MILP)分别优化求解各规划方案对应运行成本及负荷供给可靠性指标，结果作为确定系统最佳规划方案的重要参考。算例表明，所设计规划方法可以有效降低系统运行成本和保障负荷供给可靠性，对指导园区综合能源系统规划更具实用性。

The community integrated energy system (CIES) can significantly improve energy utilization and promote the consumption of renewable energy through multi-energy coupling complementary and collaborative optimization scheduling. It has become a new energy utilization realization approach for users to meet multi-energy supply and demand. Taking a community in Xiong’an New District, Hebei province as the research object, this paper designed a two-stage optimization approach for the CIES that takes into account the reliability of load supply. The first stage is based on the non-dominated sorting genetic algorithm II(NSGA-II) with elite preservation strategy to optimize the equipment type and capacity of the community energy station. It is a multi-objective planning optimization problem, and its purpose is to achieve the coordinated optimization of economic costs and environmental costs. The second stage is an operation optimization problem. As for the multiple Pareto frontier solutions obtained in the previous planning stage, the mixed integer linear programming (MILP) was used to separately optimize the operation cost and load supply reliability indicators of each planning scheme, and the result is used as an important reference for determining the best planning scheme. Case studies show that the designed planning approach can effectively reduce the system operating cost and guarantee the reliability of load supply, and it is more practical for instructing the CIES planning.

针对目前以煤炭等化石能源为主的能源供给与消费模式带来的能源紧张与环境恶化问题,借鉴综合能源系统的开发利用思路,研究电转气(power to gas,P2G)技术原理下的气电互联综合能源系统优化调度运行问题。通过构建P2G参与气电互联综合能源系统多目标协同优化运行模型,在P2G碳捕捉效应、气电耦合效应等功能特征基础上,借助布谷鸟算法对多目标进行处理。算例结果表明,P2G设备接入后,具备有效降低弃风率、削峰填谷、提升碳减排效益等作用,为可再生能源消纳提供了新途径。

Aiming at the problems of energy shortage and environmental deterioration caused by the current energy supply and consumption mode dominated by fossil energy such as coal, the optimal dispatching and operation of integrated electricity-gas energy system under the principle of power to gas (P2G) technology is studied by using the development and utilization idea of integrated energy system. By constructing the multi-objective cooperative optimization operation model of P2G participating in gas-electricity interconnected comprehensive energy system, based on the functional characteristics of P2G, such as carbon capture effect and gas-electricity coupling effect, multiple targets are processed with the help of cuckoo algorithm.The calculation results show that P2G equipment has the functions of effectively reducing wind rejection rate, peak load shifting and improving carbon emission reduction benefits, which provides a new way for renewable energy consumption.

实际综合能源系统工程在建设之前，需要对多个设计方案进行综合评价，以其作为择优的重要依据。首先，针对综合能源系统多指标评价，从能源、环境和经济3个维度，建立了含有15个指标的评价体系；然后，在此基础上，将AHP-熵权法与灰色关联法相结合，提出了兼顾主观性和客观性的综合评价方法；最后，将所提方法用于某医院综合能源系统评价，得出了综合能源系统的最佳方案，通过对比分析，验证了该方法的有效性和优越性。

Before the construction of the actual integrated energy system project, it is necessary to make a comprehensive evaluation of several design schemes as an important basis for selecting the best. Firstly aiming at the multi-index evaluation of comprehensive energy system, an evaluation system with 15 indexes is established from the three dimensions of energy, environment and economy. And then, on this basis, a comprehensive evaluation method considering subjectivity and objectivity is proposed by combining AHP entropy weight method with grey correlation method. Finally, the proposed method is applied to the comprehensive energy system evaluation of a hospital, and the best scheme of the comprehensive energy system is obtained. The advantages of the method are compared and analysed, and the effectiveness of the method is verified.