CN113420930A - Comprehensive energy system load side optimal scheduling method and system considering multi-energy complementation - Google Patents
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Abstract
The invention discloses a comprehensive energy system load side optimization scheduling method considering multi-energy complementation, which is used for modeling a load side comprehensive energy controllable device to obtain a load side controllable device model; establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior; establishing a comprehensive energy system load side optimization scheduling objective function comprising source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of controllable equipment on the load side is calculated according to a load side controllable equipment model, and the demand response cost is calculated according to a load demand response model; various controllable devices on the load side and the scheduling behavior on the power grid side are constrained, and an optimized scheduling model of the load side of the comprehensive energy system is established; and solving the established comprehensive energy system load side optimal scheduling model to further obtain an optimal scheduling result.
Description
Technical Field
The invention relates to the technical field of energy optimization scheduling, in particular to a comprehensive energy system load side optimization scheduling method and system considering multi-energy complementation.
Background
At present, in order to reduce carbon emission and alleviate climate warming, many countries are dedicated to research on renewable energy power grids, renewable energy is green energy, and the renewable energy is characterized in that emission is pollution-free and can be directly used for production, mainly comprises solar energy, wind energy, hydroenergy, nuclear energy, geothermal energy and the like, and the renewable energy power supply in regional power grids needs to meet 2 conditions: the energy source in the regional power grid is composed of water, wind, light and other renewable energy sources; and secondly, the total power generation amount of renewable energy in the regional power grid is larger than the total load in the regional power grid at any moment.
Due to the intermittency and fluctuation of the renewable energy power generation, the problem of low energy efficiency exists in a regional power grid, and the energy storage system has good adjusting capacity, so that the power generation plan tracking capacity can be greatly improved, and the wind and light abandoning rate can be reduced. In addition, the energy storage system has a four-quadrant adjusting function and can participate in peak value adjustment, voltage adjustment, frequency adjustment and the like of a power grid.
The multi-energy complementary energy system can provide distributed energy supply for users, and in the process, attention needs to be paid to coordination and optimization of different energy sources, so that the energy utilization rate is improved, the distribution and utilization of the energy sources are perfected, the complementation and coordination among the different energy sources are promoted, and the maximum performance of the overall efficiency of the system is promoted. In practice, attention is paid to improving the ratio and utilization rate of renewable energy in a multi-energy complementary energy system. Furthermore, the complementary mechanism between renewable energy and clean energy is utilized, the actual use requirement is combined, the matching effect of energy is perfected, and the energy utilization efficiency is improved.
The planning design of the multi-energy complementary comprehensive energy system is the primary key technology for ensuring the safety, economy and reliable operation of the multi-energy complementary comprehensive energy system, and the multi-energy complementary comprehensive energy system comprises a plurality of energy sources such as heat sources and power sources, a plurality of energy loads such as heat loads and electric loads, and the sources, the network and the loads have strong coupling relation. And renewable energy sources such as solar energy, wind energy and the like have strong volatility, and the system operation scene is complex and diverse, so that the conventional traditional planning method is difficult to directly apply and mainly reflected in that: 1) with the access of high-proportion random renewable energy at the power supply side, the combined cooling, heating and power system faces double high-dimensional uncertainties at the power supply side and the load side, and the traditional planning scheme which simply depends on increasing the unit capacity or increasing the system standby is slightly conservative and uneconomical, so that a reasonable and effective planning scheme for coping with the source load multi-dimensional uncertainties is urgently needed. 2) The load demand side response and the thermal and electric energy storage system are used as important means for stabilizing the fluctuation of renewable energy sources, so that the energy is transferred in a cross-time period, and the method has great regulation potential and wide application prospect. However, the influence of demand side response and energy storage cross-period adjustment on planning is not considered in detail in the current planning scheme, source-load-storage integrated cooperative operation in the system is not fully considered, and the adjustment potential of demand side response and energy storage is difficult to be exerted. 3) The traditional planning of each energy system at the user side is relatively dispersed, unified coordination is lacked, the energy utilization rate is difficult to promote, and a reasonable multi-energy unified coordination planning method is urgently needed.
The multi-energy complementary energy system can fully utilize renewable energy sources, can realize the coordination and complementation of the energy sources, brings stable energy source supply for users, meets the actual requirements of social production and life, can achieve good ecological environment-friendly effect, and reduces the dependence on non-renewable energy sources. Through the multi-energy complementary energy system, the effective utilization of energy sources such as solar energy, wind energy, geothermal energy and the like can be effectively realized, good energy-saving and emission-reducing effects can be achieved in the system operation process, good economic benefits are obtained, continuous and stable energy supply is provided for the local, and support is provided for improving the social and economic development efficiency.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention discloses a comprehensive energy system load side optimal scheduling method considering multi-energy complementation, which comprises the following steps:
s11: modeling load side comprehensive energy controllable equipment to obtain a load side controllable equipment model, wherein the load side comprehensive energy controllable equipment comprises an energy storage device, an energy conversion device and distributed energy, and the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side comprehensive energy controllable equipment model and constraining various types of load side comprehensive energy controllable equipment;
s12: establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
s13: establishing an optimized dispatching objective function of a load side of the comprehensive energy system including source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the controllable equipment on the load side is calculated according to the model of the controllable equipment on the load side in the step S11, and the demand response cost is calculated according to the model of the demand response of the load in the step S12;
s14: according to the load side controllable equipment model established in the step S11 and the load demand response model established in the step S12, various controllable equipment on the load side and power grid side scheduling behaviors are restrained, and an optimized scheduling model of the load side of the comprehensive energy system is established;
s15: and solving the comprehensive energy system load side optimized dispatching model established in the step S14 to further obtain an optimal dispatching result.
Furthermore, when the comprehensive energy system with the complementary functions runs, specific data and information in the running process of the system are collected and uploaded to the analysis server, the monitoring unit acquires the data of the analysis server and monitors the running condition of the system, and potential risks existing in the running process of the system are found in time and early warning is given out.
Further, the step S15 is followed by the step of: and optimizing the overall operation of the dispatching control system according to the optimal dispatching result, receiving control information of a manager to judge whether artificial control is needed, and making further decisions according to needs.
The invention further discloses a comprehensive energy system load side optimization scheduling system considering multi-energy complementation, which comprises the following units:
the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side controllable equipment model and constraining various types of comprehensive energy controllable equipment on the load side; establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
the computing unit is used for establishing a comprehensive energy system load side optimization scheduling objective function comprising source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the load side controllable equipment is computed according to the load side controllable equipment model in the step S11, and the demand response cost is computed according to the load demand response model in the step S12;
the constraint and solving unit is used for constraining various controllable equipment at the load side and the dispatching behavior at the power grid side according to the established load side controllable equipment model and the established load demand response model, and establishing an optimized dispatching model at the load side of the comprehensive energy system; and solving the established comprehensive energy system load side optimal scheduling model to further obtain an optimal scheduling result.
Furthermore, when the comprehensive energy system with the complementary functions runs, specific data and information in the running process of the system are collected and uploaded to the analysis server, the monitoring unit acquires the data of the analysis server and monitors the running condition of the system, and potential risks existing in the running process of the system are found in time and early warning is given out.
Furthermore, the overall operation of the scheduling control system is optimized according to the optimal scheduling result, and the control information of the manager is received to judge whether artificial control is needed or not, and then further decision is made according to the need.
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The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. In the drawings, like reference numerals designate corresponding parts throughout the different views.
Fig. 1 is a logic flow diagram of the comprehensive energy system load side optimal scheduling method considering multi-energy complementation according to the present invention.
Detailed Description
Example one
The comprehensive energy system load side optimal scheduling method considering the multi-energy complementation, as shown in fig. 1, comprises the following steps:
s11: modeling load side comprehensive energy controllable equipment to obtain a load side controllable equipment model, wherein the load side comprehensive energy controllable equipment comprises an energy storage device, an energy conversion device and distributed energy, and the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side comprehensive energy controllable equipment model and constraining various types of load side comprehensive energy controllable equipment;
s12: establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
s13: establishing an optimized dispatching objective function of a load side of the comprehensive energy system including source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the controllable equipment on the load side is calculated according to the model of the controllable equipment on the load side in the step S11, and the demand response cost is calculated according to the model of the demand response of the load in the step S12;
s14: according to the load side controllable equipment model established in the step S11 and the load demand response model established in the step S12, various controllable equipment on the load side and power grid side scheduling behaviors are restrained, and an optimized scheduling model of the load side of the comprehensive energy system is established;
s15: and solving the comprehensive energy system load side optimized dispatching model established in the step S14 to further obtain an optimal dispatching result.
Furthermore, when the comprehensive energy system with the complementary functions runs, specific data and information in the running process of the system are collected and uploaded to the analysis server, the monitoring unit acquires the data of the analysis server and monitors the running condition of the system, and potential risks existing in the running process of the system are found in time and early warning is given out.
Further, the step S15 is followed by the step of: and optimizing the overall operation of the dispatching control system according to the optimal dispatching result, receiving control information of a manager to judge whether artificial control is needed, and making further decisions according to needs.
The invention further discloses a comprehensive energy system load side optimization scheduling system considering multi-energy complementation, which comprises the following units:
the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side controllable equipment model and constraining various types of comprehensive energy controllable equipment on the load side; establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
the computing unit is used for establishing a comprehensive energy system load side optimization scheduling objective function comprising source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the load side controllable equipment is computed according to the load side controllable equipment model in the step S11, and the demand response cost is computed according to the load demand response model in the step S12;
the constraint and solving unit is used for constraining various controllable equipment at the load side and the dispatching behavior at the power grid side according to the established load side controllable equipment model and the established load demand response model, and establishing an optimized dispatching model at the load side of the comprehensive energy system; and solving the established comprehensive energy system load side optimal scheduling model to further obtain an optimal scheduling result.
Furthermore, when the comprehensive energy system with the complementary functions runs, specific data and information in the running process of the system are collected and uploaded to the analysis server, the monitoring unit acquires the data of the analysis server and monitors the running condition of the system, and potential risks existing in the running process of the system are found in time and early warning is given out.
Furthermore, the overall operation of the scheduling control system is optimized according to the optimal scheduling result, and the control information of the manager is received to judge whether artificial control is needed or not, and then further decision is made according to the need.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. It is therefore intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that it is the following claims, including all equivalents, that are intended to define the spirit and scope of this invention. The above examples are to be construed as merely illustrative and not limitative of the remainder of the disclosure. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (6)
1. The comprehensive energy system load side optimal scheduling method considering the multi-energy complementation is characterized by comprising the following steps of:
s11: modeling load side comprehensive energy controllable equipment to obtain a load side controllable equipment model, wherein the load side comprehensive energy controllable equipment comprises an energy storage device, an energy conversion device and distributed energy, and the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side comprehensive energy controllable equipment model and constraining various types of load side comprehensive energy controllable equipment;
s12: establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
s13: establishing an optimized dispatching objective function of a load side of the comprehensive energy system including source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the controllable equipment on the load side is calculated according to the model of the controllable equipment on the load side in the step S11, and the demand response cost is calculated according to the model of the demand response of the load in the step S12;
s14: according to the load side controllable equipment model established in the step S11 and the load demand response model established in the step S12, various controllable equipment on the load side and power grid side scheduling behaviors are restrained, and an optimized scheduling model of the load side of the comprehensive energy system is established;
s15: and solving the comprehensive energy system load side optimized dispatching model established in the step S14 to further obtain an optimal dispatching result.
2. The comprehensive energy system load side optimal scheduling method considering the multi-energy complementation as claimed in claim 1, wherein when the multi-energy complementary comprehensive energy system operates, specific data and information in the system operation process are collected and uploaded to an analysis server, and a monitoring unit acquires the data of the analysis server, monitors the system operation condition, finds potential risks existing in the system operation process in time and gives an early warning.
3. The method for comprehensive energy system load-side optimal scheduling considering multipotency complementation according to claim 1, wherein the step S15 is followed by further comprising: and optimizing the overall operation of the dispatching control system according to the optimal dispatching result, receiving control information of a manager to judge whether artificial control is needed, and making further decisions according to needs.
4. The comprehensive energy system load side optimization scheduling system considering the multi-energy complementation is characterized by comprising the following units:
the load side controllable equipment model is used for analyzing the energy conversion characteristics of the load side controllable equipment model and constraining various types of comprehensive energy controllable equipment on the load side; establishing a user energy consumption behavior demand response model based on price-demand elasticity on a load side, analyzing behavior characteristics of users participating in different types of demand responses, realizing interaction with an energy internet, and constraining a power grid side scheduling behavior;
the computing unit is used for establishing a comprehensive energy system load side optimization scheduling objective function comprising source-load interaction and multi-energy complementation so as to minimize the operation cost of the system, wherein the operation cost of the load side controllable equipment is computed according to the load side controllable equipment model in the step S11, and the demand response cost is computed according to the load demand response model in the step S12;
the constraint and solving unit is used for constraining various controllable equipment at the load side and the dispatching behavior at the power grid side according to the established load side controllable equipment model and the established load demand response model, and establishing an optimized dispatching model at the load side of the comprehensive energy system; and solving the established comprehensive energy system load side optimal scheduling model to further obtain an optimal scheduling result.
5. The comprehensive energy system load side optimal scheduling system considering the multi-energy complementation as claimed in claim 4, wherein when the comprehensive energy system with the multi-energy complementation operates, specific data and information in the operation process of the system are collected and uploaded to the analysis server, and the monitoring unit acquires the data of the analysis server, monitors the operation condition of the system, and finds potential risks existing in the operation process of the system in time and gives an early warning.
6. The comprehensive energy system load-side optimizing scheduling system considering multipotency complementation according to claim 5, wherein the step S15 further comprises: and optimizing the overall operation of the dispatching control system according to the optimal dispatching result, receiving control information of a manager to judge whether artificial control is needed, and making further decisions according to needs.
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| CN112615367A (en) * | 2020-12-09 | 2021-04-06 | 国网湖北省电力有限公司电力科学研究院 | Optimized scheduling method for comprehensive energy system in power Internet of things environment |
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| CN112600217A (en) * | 2020-12-09 | 2021-04-02 | 国网湖北省电力有限公司电力科学研究院 | Comprehensive energy system load side optimal scheduling method considering multi-energy complementation |
| CN112615367A (en) * | 2020-12-09 | 2021-04-06 | 国网湖北省电力有限公司电力科学研究院 | Optimized scheduling method for comprehensive energy system in power Internet of things environment |
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