CN-119809872-B - Zero-carbon building comprehensive energy system planning method considering energy supply reliability

Abstract

The invention discloses a zero-carbon building comprehensive energy system planning method considering energy supply reliability. And solving the comprehensive energy system model by adopting an upper-layer planning method and a lower-layer planning method, wherein the upper layer establishes an objective function, and the optimal light Fu Banmian and the optimal wind power plant capacity in the fixed cost are obtained according to the objective function. And finally, the lower layer uses the optimal light Fu Banmian and the wind power plant capacity in the upper layer fixed cost to establish an objective function with the lowest sum of energy supply cost and carbon emission cost as an objective function to solve, so as to obtain the optimal scheduling. The invention gives consideration to the economical efficiency and the reliability of the power system, introduces energy supply reliability evaluation, realizes the safety evaluation of the load of the power system after capacity configuration planning, and ensures the safety and the reliability of the comprehensive energy system.

Inventors

• LI HAO
• LI ZHONGQIAO
• WANG ZIMO
• WU CHENXI

Assignees

• 杭州电子科技大学

Dates

Publication Date

20260508

Application Date

20250103

Claims (3)

1. 1. A zero-carbon building comprehensive energy system planning method considering energy supply reliability is characterized by comprising the following steps: step one, building a comprehensive energy system model facing to urban buildings; Solving the comprehensive energy system model by adopting an upper layer planning method and a lower layer planning method, establishing an objective function by the upper layer, and obtaining the optimal light Fu Banmian and wind power plant capacity in fixed cost according to the objective function, wherein the specific implementation process is as follows: The upper layer establishes an objective function, and the sum of the capacity planning configuration cost and the lower layer scheduling cost is used as the configuration of the target planning capacity, wherein the objective function is as follows: in the formula, Represents the net benefit brought by the upper layer of the comprehensive energy system with the storage battery, The energy cost of the storage battery is not configured, To configure the energy cost after the storage battery, the scheduling result from the lower layer, Is a fixed cost for the years and is a new technology, Is the annual operation and maintenance cost of the comprehensive energy system, To integrate the operation and maintenance costs of the energy system corresponding to each device, Punishment costs for energy supply of the integrated energy system; in the formula, Is the investment cost of the unit storage battery, Investment cost for a unit heat storage device; is the investment cost of each photovoltaic panel; Is the investment cost of unit wind power; Is the discount rate; In order to integrate the life of the energy system, And The capacities of the accumulator and the heat storage device are respectively, For the area of the photovoltaic panel, Is the capacity of the wind farm; in the formula, The operation and maintenance cost of the unit photovoltaic panel; The operation and maintenance cost of unit wind area; obtaining the optimal area of the photovoltaic panel and the capacity of the wind power plant according to the objective function; thirdly, establishing an optimal light Fu Banmian and wind power plant capacity in the upper fixed cost by the lower layer, solving by taking the lowest sum of energy supply cost and carbon emission cost as an objective function, and obtaining optimal scheduling, wherein the specific implementation process is as follows: the lower layer uses the optimal light Fu Banmian and the wind power plant capacity in the upper layer fixed cost, and establishes a target function with the lowest sum of energy supply cost and carbon emission cost as a target function to solve, so as to obtain the optimal scheduling; in the formula, Representing the operational costs of the various devices of the system, 、 、 、 、 、 、 、 、 Respectively represents the unit power operation maintenance cost of the gas turbine, the waste heat boiler, the heat storage device, the absorption refrigerator, the storage battery, the electric refrigerator, the electric boiler, the electric heating and the gas boiler, 、 、 、 、 、 、 、 、 、 Respectively representing the operating power of a gas turbine, a waste heat boiler, a heat storage device, an absorption refrigerator, a storage battery charging device, a storage battery discharging device, an electric refrigerator, an electric boiler, an electric heating device and a gas boiler, 、 The power of the waste wind and the waste light is respectively calculated by the area of the photovoltaic panel and the capacity of the wind farm, 、 Respectively representing punishment cost of wind power and photovoltaic; in the formula, 、 、 The number of days in transition season, summer and winter in one year respectively; 、 、 the electricity purchasing quantity is respectively the typical day of the transition season, summer and winter; The electricity price is the time-sharing electricity price; 、 、 gas turbine output on typical days in transition seasons, summer and winter respectively; the correlation coefficient of the output of the gas turbine and the natural gas is provided; the purchase cost of unit natural gas; in the formula, Representing the cost of the energy supply reliability penalty, An index indicating the type of season, Indicating the total number of seasons, A time period is indicated and a time period is indicated, Represent the first The number of days in the class season, Is shown in Under load factor The total energy shortage amount of the energy source, The punishment unit price for k energy sources is provided.
2. 2. The zero-carbon building comprehensive energy system planning method considering energy supply reliability according to claim 1, wherein the comprehensive energy system model takes a combined cooling, heating and power system as a core, takes distributed energy sources as auxiliary energy sources to supply energy to the comprehensive energy system, and determines model constraint conditions according to equipment output and energy storage.
3. 3. The method for planning the zero-carbon building comprehensive energy system considering energy supply reliability according to claim 2, wherein in the third step, a multi-objective genetic algorithm is adopted by an upper layer, a new parent capacity value is screened out by combining an elite retention strategy and is transmitted to a lower layer with the aim of maximum net benefit, an electric power system optimal scheduling model is built on a Yalmip platform by the lower layer, an optimal scheduling is carried out on the comprehensive energy system model by a Cplex solver in combination with the result of the upper layer planning, and an optimal output result of each device is obtained, so that an optimal configuration scheme is obtained.

Description

Zero-carbon building comprehensive energy system planning method considering energy supply reliability Technical Field The invention belongs to the field of operation of power systems, and relates to a zero-carbon building comprehensive energy system planning method considering energy supply reliability. Background Technological progress and social development bring burden to the global environment, so that energy conservation and emission reduction and great development of new energy are necessary trends of development of the power industry. The comprehensive energy system is used as an important form of multi-energy coupling, can realize the important ways of guiding the industries related to energy sources to improve the renewable energy source duty ratio and reduce the carbon emission, greatly develops the comprehensive energy system, is an important way of building energy conservation and emission reduction and optimizing the energy structure, and meets the requirements of green low-carbon development. Due to the sustainable development of renewable energy and distributed energy, the renewable energy and the distributed energy can be better combined and reasonably utilized to become a new direction of an electric power system. Therefore, the building-oriented regional optimization intelligent comprehensive energy system is established, energy supply reliability is considered and energy conservation and emission reduction are realized while the economy is ensured, and the method is an important means for solving the energy and environmental problems. In order to adapt to the social development and meet the demands of people, and simultaneously improve the energy utilization rate, a comprehensive energy system is generated. Among them, the integrated energy system using the combined heat and power as the core has high energy utilization rate and flexible supply mode, and is widely used in recent years. In addition, the wind-solar energy storage multi-energy complementary energy system is widely applied, the energy sources are multiple, and the energy consumption requirements of users can be met, so that the configuration optimization of the system is always focused. One of the goals of system capacity configuration planning is to maximize the revenue of the system. In addition, with the development of a multi-energy complementary energy system, optimization targets are diversified, and multi-target optimization is also becoming a popular research. Most of researches are from a single point of view, the optimization design of the energy system fails to comprehensively consider the total cost and carbon emission of the system, or the influence of different installed capacities on the comprehensive operation cost of the system is not considered, or the traditional capacity planning configuration method is adopted. Assessing the energy reliability of a system is also an important part of construction. In the evaluation process, the Monte Carlo method is utilized to evaluate the reliability of the system, and meanwhile, the economy of the system is considered, so that the pareto optimal solution set is obtained. Disclosure of Invention The invention aims to solve the problem of providing a modeling method for evaluating energy supply reliability by considering introduction after capacity configuration planning which is obtained by relying on data on the basis of a zero-carbon building comprehensive energy system, and exploring that the energy supply reliability is introduced to evaluate the zero-carbon building comprehensive energy system on the basis of planning capacity configuration is an effective measure for ensuring long-term stable operation of an electric power system. Therefore, the invention ensures the economy and reliability, introduces energy supply reliability based on planning of capacity configuration, ensures the operation of the system and improves the energy utilization rate. And (3) the modeling of the comprehensive energy system planning for the zero-carbon-oriented building is completed by taking the lowest system running cost as a target. The zero-carbon building comprehensive energy system planning method considering energy supply reliability is provided. The comprehensive energy system utilizes multiple energy sources to carry out combined energy supply, the problem of capacity combination of multiple energy sources is solved in capacity configuration, and the problem of economic dispatch is solved in operation. The upper capacity planning configuration takes the minimum capacity configuration cost and running cost as an objective function, and the lower optimization model takes the minimum system scheduling cost as an objective function. The output result of the upper layer is used as the basis of the capacity of the lower layer operation equipment, the capacity of the equipment configured by the lower layer is used as the installed capacity, the equipment optimizing operation strate