Opportunity constraint planning-based commercial park comprehensive energy system optimization scheduling method

Abstract

The invention discloses an opportunity constraint planning-based commercial park comprehensive energy system optimization scheduling method. The method comprises: firstly, constructing a commercial park comprehensive energy system model, and on the basis of modeling of energy conversion of all elements in a park, considering uncertainty of new energy output and load, and establishing a commercialpark energy optimization scheduling model based on opportunity constraint planning. The model aims at minimizing the operation cost. An improved immune genetic algorithm and a stochastic simulation hybrid algorithm are adopted for solving, quantitative indexes are established for accompanying unbalance risks in an opportunity constraint planning model, reference is expected to be provided for comprehensive energy system operation scheduling for balancing economy and reliability, and the method has important guiding significance for actual scheduling of the system.

Description

technical field [0001] The invention relates to the technical field of energy-saving power generation dispatching, in particular to a method for optimal dispatching of an integrated energy system in a business park based on chance-constrained programming. Background technique [0002] The operation of the traditional energy system is limited to a single form of energy such as electricity, gas, heat, and cold, and cannot give full play to the complementary advantages of energy sources. Coordination of energy utilization, environmental protection, and renewable energy consumption has encountered bottlenecks. In response to this problem, the concept of Energy Internet and integrated energy system has emerged as the times require, which can break down the barriers between energy subsystems, realize complementary and collaborative optimization of various energy sources within regions and across regions, and are promoting a new round of energy revolution. [0003] The park-oriente...

AI Technical Summary

Problems solved by technology

Compared with a single energy supply mode, multi-energy coordination has higher efficiency and energy supply flexibility, but it will also greatly increase the complexity of the energy system and put forward higher requirements for optimal scheduling

[0004] It is worth noting that the integrated energy system of the business park gathers more load-side resources, the coupling between multiple energy sources is more serious, and it is easily affected by the law of energy consumption of users.

The existing research is too single in the refrigeration model, does not consider the participation of complex cooling equipment such as ice storage air conditioners, and does not fully utilize the flexible load resources in the regional transportation network

At the same time, the penetration of new energy sources and the low accuracy of load forecasting have more and more impacts on the formulation of power generation plans, increasing the difficulty of system scheduling

Images